Skip to main content

ORIGINAL RESEARCH article

Front. Immunol., 02 December 2024
Sec. Cancer Immunity and Immunotherapy
This article is part of the Research Topic Community Series in Immune Responses Against Tumors - From the Bench to the Bedside: Volume II View all articles

Cryoablation of primary breast cancer tumors induces a systemic abscopal effect altering TIME (Tumor Immune Microenvironment) in distant tumors

Flvia Sardela de Miranda,,Flávia Sardela de Miranda1,2,3Dalia Martinez-MarinDalia Martinez-Marin4Rachel L. Babcock,,Rachel L. Babcock3,4,5Maribel CastroMaribel Castro1Geetha P. BoligalaGeetha P. Boligala4Sonia Y. Khan,,Sonia Y. Khan1,3,6Kathryn L. Furr,Kathryn L. Furr1,3Isabel Castro-PiedrasIsabel Castro-Piedras7Nicholas WagnerNicholas Wagner1Dakota E. RobisonDakota E. Robison1Karla DanieleKarla Daniele1Sharda P. Singh,Sharda P. Singh3,8Kevin PruittKevin Pruitt4Michael W. Melkus,*Michael W. Melkus1,3*Rakhshanda Layeequr Rahman,,*Rakhshanda Layeequr Rahman1,3,9*
  • 1Department of Surgery, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 2Department of Immunology and Molecular Microbiology, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 3Breast Center of Excellence, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 4Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
  • 5Department of Cell Biology and Biochemistry, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 6Department of Surgery, The University of Texas Rio Grande Valley (UTRGV) Rio Grande Valley, Harlingen, TX, United States
  • 7Department of Pharmacology and Neuroscience, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 8Department of Internal Medicine, School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 9Cancer Institute, MetroHealth System, Cleveland, OH, United States

Introduction: Despite recent advances, triple-negative breast cancer (TNBC) patients remain at high risk for recurrence and metastasis, which creates the need for innovative therapeutic approaches to improve patient outcomes. Cryoablation is a promising, less invasive alternative to surgical resection, capable of inducing tumor necrosis via freeze/thaw cycles. Necrotic cell death results in increased inflammatory signals and release of preserved tumor antigens, which have the potential to boost the local and systemic anti-tumor immune response. Thus, compared to surgery, cryoablation enhances the activation of T cells leading to an improved abscopal effect, defined as the occurrence of a systemic response after local treatment. We previously showed with a bilateral-tumor mouse model of TNBC that cryoablation of the primary tumor leads to increased infiltration of distant (abscopal) tumors by tumor infiltrating lymphocytes (TILs) and decreased rates of recurrence and metastasis. However, the early drivers of the cryoablation generated abscopal effect are still unknown and knowledge of the mechanism could provide insight into improving the anti-tumor immune response through pharmacologic immune modulation in addition to cryoablation.

Methods: One million 4T1-12B-luciferase expressing cells were transplanted into the mammary fat pad of BALB/c mice. Two weeks later, left (primary) tumors were either resected or cryoablated. A week after the procedure, right (abscopal) and left tumors, along with spleen, tumor-draining lymph node and blood were collected and processed for flow cytometry and/or RNA-sequencing and immunofluorescence.

Results: Here we show that cryoablation of mouse mammary carcinomas results in smaller abscopal tumors that harbor increased frequencies of anti-tumor cells [such as natural killer (NK) cells], accompanied by a systemic increase in the frequency of migratory conventional type 1 dendritic cells (cDC1; CD103+ XCR1+), compared to resection. The changes in cell frequencies are mirrored by the immune gene signature of the abscopal tumors, with cryoablation inducing genes involved with NK cell activation and leukocyte-mediated toxicity, including IL11ra1 and Pfr1.

Conclusions: These results better define the early mechanisms through which cryoablation improves tumor elimination, which is mediated by enhanced frequencies of anti-tumoral cells such as NK and cDC1s at the abscopal tumor and in the spleen of mice treated with cryoablation, respectively.

1 Introduction

The progression of cancer and development of metastasis is closely associated with the interrelation between cancer cells and their microenvironment, including immune responses – termed the tumor immune microenvironment (TIME). Innate and adaptive immunity are both involved with immune surveillance to eliminate pre-cancerous and cancerous cells, yet, transformed cells can evade immune control and generate immunosuppressive signals capable of modulating the activity of the immune system towards a pro-tumoral phenotype (1). Lymphocytes - including CD8+ cytotoxic and CD4+ helper T cells, natural killer (NK) and NKT cells – together with dendritic cells (DC) and pro-inflammatory macrophages (M1-like) have the power to induce an anti-tumoral response leading to tumor cell death. However, as tumor growth progresses, pro-tumoral populations of cells are recruited and generated at the tumor site, such as anti-inflammatory macrophages (M2-like), myeloid-derived suppressor cells [MDSCs, comprised of immunosuppressive monocytes, macrophages, and granulocytes (2)] and regulatory T (Treg) cells, all which act to counteract the anti-tumor response by suppressing the activity of effector cells and hampering the activation of newly recruited lymphocytes. Tumor cells also evade immunity by downregulating or losing expression of tumor antigens, releasing immunosuppressive molecules, and shedding soluble major histocompatibility complex (MHC)-I, among other mechanisms (1).

Collectively, the density and the diversity of the tumor-infiltrating cells affects prognosis and treatment response. For example, the levels of pro-inflammatory cytokines produced, and the degree of T cell infiltration are used to categorize tumors as either “cold” or “hot” (3). “Cold” tumors are non-T cell inflamed, characterized by T cell absence or exclusion, while “hot” tumors are T cell inflamed, characterized by T cell infiltration and molecular signatures of immune activation. This means “hot” tumors have higher response rates to immunotherapy (4, 5). Triple-negative breast cancer (TNBC) is, among all breast cancer subtypes, the most immunogenic (68), presenting with higher T cell infiltration, mutational burden, and PD-L1 expression (9, 10); however, when compared to other tumor subtypes, TNBC is considered a “cold” tumor (1113). Despite recent advances in therapies, patients with TNBC remain at high risk for disease recurrence and early metastasis (1417), with a combined 5-year relative survival rate of 77%; for patients with metastasized disease, that value lowers down to 12% (18). Therefore, innovative therapeutic strategies that leverage the immunogenicity of TNBC and enhance molecular signatures of immune activation provide an opportunity to improve patient outcomes.

One promising approach is cryoablation, a method that kills tumor cells via rapid freeze/thaw cycles while leaving the dead tumor cells in vivo. The exposure of the tumor to subzero temperatures (≤ -40°C) results in tumor necrosis, an inflammatory type of cell death that promotes immune recruitment while preserving tumor-associated antigens (TAAs) (1921). Since the ablated tumor (and consequently, its TAAs) remains in vivo, this introduces the possibility of augmenting the anti-tumor immune response, leading to an improved systemic immune activity, also known as the abscopal effect (Figure 1A). This contrasts with surgical resection, in which tumors and their TAAs are removed (21). Currently, cryoablation is clinically approved for the treatment of breast fibroadenomas and has shown promising results in low-risk breast cancer (2226). There is great interest in applying this technique to treat TNBC, which is more immunogenic than the above-mentioned subtypes and, therefore, could benefit from the augmentation of the availability of TAAs and inflammatory signals.

Figure 1
www.frontiersin.org

Figure 1. Experimental approach. (A) Schematic showing the breast cancer cryoablation procedure and the abscopal effect. Through a small incision on the skin, the cryoprobe is inserted into the tumor; as liquid nitrogen is released, an ice ball forms around the tumor, causing it to freeze. The freeze/thaw cycles lead to tumor necrosis, which results in release of preserved tumor antigens, damage associated molecular patterns (DAMPs), and inflammatory cytokines, which will be recognized by antigen presenting cells. The higher availability of inflammatory signals and tumor antigens will boost the activation of anti-tumor T cells that can recognize both local and distant tumor cells. The generation of a systemic response after a local treatment is called “abscopal effect”. (B) Schematic of experimental approach using our murine model of breast cancer. 1x106 4T1-12B cells were bilaterally transplanted in the mammary fat pad of BALB/c mice. Two weeks later, mice were divided into two groups and received their according treatment: resection or cryoablation. One-week post treatment, animals were sacrificed and cryoablated tumors, abscopal tumors, TdLNs, spleens, and peripheral blood were collected and processed for analysis. Created in BioRender. Melkus, M. (2024) BioRender.com/w50o762.

Clinical studies have shown the long-term abscopal effects of cryoablation in hormone receptor positive breast cancer patients with lymph node and/or liver metastasis, which regressed by 5-6 months after the treatment (27, 28), however clinical data for TNBC remains limited. In a recent long-term pre-clinical pilot study from our group, we showed local treatment of TNBC by cryoablation increased systemic immune responses compared to surgical resection where, six weeks after the procedures, 40% of the mice in the resected group showed local recurrence and lung metastasis, while no recurrence or metastasis occurred in mice post-cryoablation (29). Other groups observed similar superior immune activation with cryoablation compared to resection in breast cancer (30) and colon cancer models (31). However, the early drivers of the cryoablation-generated abscopal effect in TNBC remain unknown. Knowledge of such information could help guide decisions regarding follow-up therapies for TNBC patients and support the development of combinational therapies for cryoablation, by supplying the field with clinically actionable data, such as key immune populations and gene pathways directly affected by cryoablation. This information could be used for identifying suitable immune modulators, such as ICIs, and choosing which is the most appropriate for combination with cryoablation, ultimately providing patients with more efficient and safer therapies that can enhance tumor elimination and immune surveillance, improving survival.

Herein, we used the bilateral-tumor murine breast cancer model, flow cytometry, immunofluorescence and RNA-sequencing (RNA-seq), to identify differences in immune cell frequencies and immune gene signatures after cryoablation of primary tumors. We observed global T cell immune responses in distant tumors post cryoablation, which may help guide follow-up and combinational therapy decisions. Furthermore, we were able to use RNA-seq deconvolution from paraffinized tissue to determine the frequency of immune populations in the primary resected tumor, which may aid in determining optimal biomarkers to predict patients’ response to cryoablation in a clinical setting.

2 Materials and methods

2.1 Cell lines

The luciferase-expressing triple-negative mammary carcinoma cell line, 4T1-12B, was obtained from TUFTS University (generously provided by Sahagian et al.) (32). Cells were cultured in Dulbecco’s Modified Eagle’s medium (DMEM) supplemented with 10% FBS and 1% penicillin/streptomycin, at 5% CO2.

2.2 Animals

Naïve female BALB/c mice, aged 8 – 11 weeks, were purchased from The Jackson Laboratory (RRID: IMSR_JAX:000651, Bar Harbor, NE, USA) and maintained in a pathogen-free environment within the animal laboratory animal care center (LARC) under a 12 hours light/12 hours dark cycle. Water and food (standard mouse chow) were provided ad libitum. Animals were regularly checked for health status. All experiments were conducted in accordance with the Institutional Animal Care and Use Committee (IACUC) at Texas Tech University Health Sciences Center policies and approved protocols.

2.3 Cryoablations and resections

The experimental approach is shown on Figure 1B. Naïve female BALB/c mice underwent bilateral orthotopic transplant with 1x106 4T1-12B cells per side. The left-sided tumor served as a primary tumor, used for treatment, while the right-sided tumor served as proxy to evaluate the potential abscopal effect, being referred in this paper as “abscopal tumor”.

At two weeks, the mice were divided into 2 groups to where the average size of the left and right tumors were similar between groups. The left (primary) tumors were treated by either resection (standard of care group) or cryoablation (intervention group). Procedures were performed under strict aseptic technique, as we previously described (29). Surgical resection of the left tumors with grossly negative margins was performed on mice from the standard of care group, and resected tumors were used for downstream analysis (T[Baseline] or R). For the mice in the cryoablation group, the skin was incised and retracted away from the left tumor (T[Cryo] or C), and either the Visica 2 treatment system (Sanarus Technologies, Inc., Pleasanton, CA, USA) or the ProSense treatment system (IceCure Medical, Caesarea, Israel) probe connected to liquid nitrogen cryoablation machines were placed directly on top of the tumor mass; each tumor underwent two freeze/thaw cycles, and was left in vivo to induce the abscopal effect (Figure 2A). Freezing time was dependent on tumor size, while all tumors were equally given three minutes to thaw between freezing cycles. Inhaled 2.5% isoflurane anesthesia was used in both groups.

Figure 2
www.frontiersin.org

Figure 2. Abscopal tumors from cryoablation present lower weight compared to those from resection. (A) Cryoablation of the tumors. Skin is retracted away from the tumors, and the probe is laid flat on top of it. Far right panel shows a completely frozen tumor. (B) Representative IVIS pictures of mice from the resection and cryoablation groups, imaged 24 hours pre- and post-procedures. (C) Pictures of organs post-sacrifice. Far left panel shows the abscopal versus the cryoablated tumor in the mouse. The right panels show pictures of the primary tumors, abscopal tumors, and spleen, from left to right; top pictures are from the resection group, while bottom pictures are from the cryoablation group. (D) Graphs showing individual mouse tumor and spleen weights. The different dot colors indicate the experiment. Unpaired Student’s t-test for normally distributed data or Mann-Whitney test for non-normally distributed data was performed to compare resected vs cryoablation, with p<0.05 (*) considered significant. There is a one-week difference when tumors were isolated when comparing the resected to the cryoablated tumors (primary tumors). R, resection group; C, cryoablation group; AR, abscopal tumors from resection; AC, abscopal tumors from cryoablation. n = 17.

After completion of the surgical resection/cryoablation procedure, the skin was closed using 4-0 Prolene sutures (Ethicon, Somerville, NJ). All mice were administered 0.05 mg/kg of buprenorphine (Par Pharmaceuticals, Chesnut Ridge, NY) intraperitoneally in 200 µL of saline after the resection/cryoablation procedure. Additionally, one MediGel Hazeulnut (Clear H2O®, Portland, ME) supplemented with 0.5 mg/mL of Rimadyl (Zoetis, Parsippany, NJ) cup was provided per cage for pain management. Animals were monitored for 5 days for post-procedure complications. One-week post-treatment, the distant right tumors (Abs[Res] or AR and Abs[Cryo] or AC) and cryoablated tumors were resected for anti-tumor immunity analysis as previously reported (29).

Four independent experiments were conducted in accordance with TTUHSC-IACUC policies and approved protocols. The samples from one experiment (n=5) were used for RNA-seq and Immunofluorescence analysis, while the samples from other three experiments (n=5-6) were used for immune characterization by flow cytometry.

2.4 Tumor monitoring through IVIS

Twenty-four hours pre- and post-procedure (surgical resection or cryoablation), mice tumors were imaged with the In vivo imaging system (IVIS) Lumina XR (Caliper Life Sciences, PerkinElmer™) to evaluate the effectiveness of tumor resection/ablation. Mice received 100 µL of D-luciferin, Potassium- Salt (15 mg/mL) (GoldBio, St. Louis, MO) intraperitoneally (IP) and were imaged after 5 minutes, under 2.5% isoflurane anesthesia.

2.5 Mouse necropsy and cell isolation

One-week post-surgical resection or cryoablation, all mice were euthanized using CO2 followed by exsanguination via cardiac puncture, according to AVMA Guidelines for the Euthanasia of Animals:2020 Edition. The peripheral blood obtained through the cardiac puncture was collected into 0.5 M EDTA-containing tubes, along with the spleen, tumor-draining lymph nodes (TdLN; from both the primary and abscopal tumors), and abscopal/cryoablated tumors. Spleen and TdLNs were pressed through a 70 µm nylon mesh filter. Tumors collected on the sacrifice day, and resected tumors from the previous week, were either formalin-fixed and paraffin-embedded to make slides for RNA-seq and immunofluorescence or processed to obtain single cells for flow cytometry by mincing, digestion with 300 U/mL Collagenase, 100 U/mL Hyaluronidase, and 150 µg/mL DNAse, and filtering through a 70 µm mesh. Red blood cells were eliminated from the blood, tumor and spleen single-cell suspensions using red blood cell lysis buffer (STEMCELL Technologies, Vancouver, Canada).

2.6 Flow cytometry analysis for immune phenotyping

Isolated mononuclear cells from blood, tumors, TdLNs and spleens had their Fc receptors blocked with CD16/32 antibody mix (Invitrogen, San Diego, CA) and were stained with antibodies for our established lymphoid and myeloid mouse panel (Table 1) and the Live/Dead Aqua viability stain (Thermo Fisher Scientific Inc., Waltham, MA). Flow data was acquired using a Cytek Northern Lights™-Clinical (NL-CLC) spectral analyzer (Cytek Biosciences, Freemont, CA) and the SpectroFlo® software. Data was analyzed using FlowJo v10.8.1 software.

Table 1
www.frontiersin.org

Table 1. Antibodies used for flow cytometry.

For analysis, debris and doublets were excluded, and live immune cells were selected by gating on the CD45+ and live-and-dead negative population. In the lymphocyte panel (Supplementary Figure 1A), B cells were defined as B220+, myeloid cells were CD11b+, NK cells were NKG2A+, and T cells were CD3+. We further gated the CD3+ population on NKG2A+ (NKT cells), CD4+ (helper T cells), and CD8+ (cytotoxic T cells). CD4+ and CD8+ T cells were considered activated based upon inducible T cell costimulator (ICOS) expression, and subpopulations were defined based on the expression of CD62L and CD44, where: CD62L+CD44- are Naïve T cells (P1); CD62L+CD44+ are central memory T cells (P2); CD62L-CD44+ are effector/effector memory T cells (P3); and CD62L-CD44- are pre-effector T cells (P4) (33). Regulatory T cells (Tregs) were identified as CD4+, CD127low and CD25high, and CD107a expression was used to identify CD8+ T cells that secreted perforin. In the myeloid panel (Supplementary Figure 1B), conventional DCs (cDC) were defined as CD11c+ and MHCIIhigh and then assessed to separate XCR1+ type 1 cDCs (cDC1) and CD172α+ type 2 cDCs (cDC2). cDC1s were further classified into migratory or lymphoid-resident cells based on CD103 or CD8α expression, respectively. The CD11b+ Ly6G+ population was defined into 2 subpopulations: Ly6Ghigh (Siglec-Flow) and Ly6Gintermediate (Siglec-Fhigh) neutrophils (3436), the latter being classically defined as immunosuppressive neutrophils in lung cancer and acute spleen infection studies (3740). Finally, CD11b+, Ly6G-, Siglec-F- monocytes and macrophages were defined based on Ly6C and MHCII expression: M2-like TAMs were defined as Ly6Clow and MHCIIlow; M1-like TAMs were Ly6Clow and MHCIIhigh; inflammatory monocytes were Ly6Chigh and MHCIIlow; and immature macrophages were Ly6C+ and MHCIIhigh (41, 42).

2.7 Bulk tumor RNA-sequencing and analysis pipeline

Tumor RNA was purified from formalin-fixed, paraffin-embedded tissue sections using the RNeasy FFPE Kit (Qiagen, Cat #73504). rRNA was depleted for mRNA enrichment and the QIAseq Stranded Total RNA Lib Kit (Qiagen, Cat #180745) was used to construct the strand-specific RNA-seq library. Whole transcriptome sequencing was performed on an Illumina NextSeq 500 instrument. Differential gene expression analysis was done using EdgeR and its associated packages, and quality control (QC) with FastQC and Cutadapt. FASTQ files were trimmed and mapped to GRCm39/mm39 using HISAT2. Mapped sequences (number of reads per annotated genes) were counted with feature Counts. For each step, QC reports were aggregated using MultiQC. Read counts were annotated using biomaRt (ENSEMBL); lowly expressed genes were filtered prior to further analysis. Voom was used as QC to maintain the false discovery rate below the nominal rate. To eliminate biases between libraries, normalization for composition bias was performed with EdgeR. Differential expression and gene set testing were performed with limma and visualized with Glimma. Ingenuity Pathway Analysis (IPA), REACTOME, GO, GSEA, and Cibersort were used for further analysis of activated signaling pathways and identification of gene targets. RNA-sequencing data is available in Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/).

2.8 Statistical analysis

Statistical analyses were performed using GraphPad Prism software version 9.00 for Windows (La Jolla CA., www.graphpad.com). Normally distributed data was analyzed by unpaired t-test or one-way ANOVA with Tukey’s post-test, when two or three unrelated groups were analyzed together, respectively. Mann-Whitney t-test and Kruskal Wallis with Dunn’s post-test were used to analyze non-normally distributed data. Differences were considered statistically significant when *p<0.05, ** p<0.01, ***p<0.001, and ****p<0.0001, with confidence interval (CI) of 95%. Numerical p values are shown in some circumstances to indicate trends. All quantitative flow cytometry analysis was performed with 5-6 animals per group, from three different experiments (in the graphs from Figures 27: 1st experiment – pink dots; 2nd experiment – blue dots; 3rd experiment – purple dots). RNA-seq and immunofluorescence analysis were performed with n=5 animals per group, from one experiment.

Figure 3
www.frontiersin.org

Figure 3. Cryoablation of primary tumor leads to enhanced local infiltration by naïve and inflammatory cells one-week after the procedure. (A) Lymphoid populations at the primary tumors. Subpopulations of T cells were analyzed as frequency of the parent (CD4+ or CD8+), while the parent immune populations were analyzed as frequency of the live immune cells (CD45+). (B) Myeloid populations at the primary tumors, analyzed as frequency of the live immune cells (CD45+). The different dot colors indicate the experiment. Unpaired Student’s t-test for normally distributed data or Mann-Whitney test for non-normally distributed data was performed comparing resected vs cryoablated tumors, with p<0.05 (*), p<0.01 (**), p<0.001 (***) and p<0.0001 (****) considered significant. There is a one-week difference when tumors were isolated when comparing the resected to the cryoablated tumors (primary tumors). R, resection group; C, cryoablation group; CM, central memory; E/EM, effector/effector memory. n = 17.

Figure 4
www.frontiersin.org

Figure 4. TdLNs from the cryoablated and resected tumors present similar frequency of immune populations. Graphs depict the frequency of different lymphocyte and DC populations at the lymph nodes draining treated tumors, analyzed as frequency of the parent (CD4+ or CD8+) and frequency of the live immune cells (CD45+), respectively. The different dot colors indicate the experiment. Unpaired Student’s t-test for normally distributed data or Mann-Whitney test for non-normally distributed data was performed comparing lymph nodes draining the resected vs cryoablated tumors. All lymph nodes were collected at 3 weeks. R, resection group; C, cryoablation group; CM, central memory; E/EM, effector/effector memory. n = 13.

Figure 5
www.frontiersin.org

Figure 5. Abscopal tumors from cryoablation present increased frequencies of anti-tumor cells. (A) Representative tSNE map from one experimental repeat, showing the cluster localization of different lymphoid populations at the abscopal tumors. (B) Representative tSNE heatmap from one experimental repeat for concatenated abscopal tumors from resection (AR) and abscopal tumors from cryoablation (AC) samples. (C) Frequency of lymphoid populations on abscopal tumors from resection and cryoablation. Parent immune populations were analyzed as frequency of the live immune cells (CD45+), while subpopulations of T cells were analyzed as frequency of the parent (CD4+ or CD8+). The frequencies of each immune population were normalized by the average of the resected tumor frequencies, matched by experiment. The different dot colors indicate the experiment. Unpaired Student’s t-test for normally distributed data or Mann-Whitney test for non-normally distributed data was performed to compare resection vs cryoablation, with p<0.05 (*) and p<0.01 (**) considered significant. AR, abscopal from resection; AC, abscopal from cryoablation; CM, central memory; E/EM, effector/effector memory. n = 17.

Figure 6
www.frontiersin.org

Figure 6. Cryoablation decreases immunosuppression in abscopal tumors. (A) Representative tSNE map from one experimental repeat, showing the cluster localization of different myeloid populations at the abscopal tumors. (B) Representative tSNE heatmap from one experimental repeat for concatenated abscopal tumors from resection (AR) and abscopal tumors from cryoablation (AC) samples. (C) Frequency of myeloid populations on abscopal tumors from resection and cryoablation. All immune populations were analyzed as frequency of the live immune cells (CD45+). The frequencies of each immune population were normalized by the average of the resected tumor frequencies, matched by experiment. The different dot colors indicate the experiment. Unpaired Student’s t-test for normally distributed data or Mann-Whitney test for non-normally distributed data was performed to compare resection vs cryoablation, with p<0.05 (*) considered significant. AR, abscopal from resection; AC, abscopal from cryoablation. n = 17.

Figure 7
www.frontiersin.org

Figure 7. Cryoablation boosts the generation of migratory cDC1s. Graphs show the frequency of immune populations at the spleen [(A), n = 17], abscopal tumor-draining lymph node [(B), n = 17], and peripheral blood [(C), n = 17]. All immune populations were analyzed as frequency of the live immune cells (CD45+), except for the CD4+ and CD8+ subpopulations (analyzed as frequency of the parent). The different dot colors indicate the experiment. Unpaired Student’s t-test for normally distributed data or Mann-Whitney test for non-normally distributed data was performed comparing resection vs cryoablation, with p<0.05 (*) considered significant. R, resection group; C, cryoablation group; AR, abscopal from resection; AC, abscopal from cryoablation; CM, central memory; E/EM, effector/effector memory.

3 Results

3.1 Cryoablation of primary tumor completely kills the tumor mass and leads to reduced abscopal tumor weight

To evaluate early immune changes due to cryoablation, luciferase expressing 4T1 tumor cells were bilaterally transplanted into the mammary fat pad of BALB/c mice. Two weeks after, all mice had successfully developed bilateral tumors and were treated with resection (standard of care) or cryoablation. For cryoablation, freezing time was tumor size dependent, with liquid nitrogen being continuously released until tumors were completely frozen (Figure 2A); the cryoablated tumors remained in vivo until the end of the experiment. Mice were administered luciferin and underwent IVIS imaging system 24 hours pre- and post-procedures (Figure 2B). In all mice, tumors were vividly visible with luciferase activity prior to therapy; all activity disappeared with both resection and cryoablation of the primary tumors post-treatment (Figure 2B).

To identify early events in the anti-tumor immune response, mice were sacrificed at 1-week post primary treatment and tissues collected for analysis (Figure 2C). Assessment of tumor weights revealed abscopal tumors from cryoablation were significantly smaller than abscopal tumors from resection (AC = 59.26 ± 42.82 and AR = 93.32 ± 46.59, respectively), while the weights of primary tumors (R = 84.09 ± 32.22; C = 71.74 ± 46.80) and spleen (R = 135.4 ± 33.74; C = 140.9 ± 65.67) showed no significant differences between the groups (Figures 2C, D). These observations suggest that cryoablation of primary tumor results in systemic effects, influencing distant tumor’ size.

3.2 Cryoablation induces an early inflammatory response characterized by naïve T cell infiltration in primary tumors

Cryoablation kills both tumor and non-tumor cells (including immune cells). Thus, we were interested in analyzing the pattern of infiltration by responding immune cells at the cryoablated tumors one-week after treatment, to understand the initiation of the abscopal effect. Through analysis of the immune landscape of primary resected tumors, collected at two weeks (R), and cryoablated tumors, collected at three weeks (C), by flow cytometry, we found a shift in cryoablated tumors, with increased recruitment of CD4+ naïve T cells (Figure 3A) and Ly6Ghi neutrophils (Figure 3B) one-week post-cryoablation. Neutrophils are especially important for cleaning and repairing the ablated site, while the newly recruited CD4+ naïve T cells can be activated by antigen presenting cells and aid in the elimination of tumor cells. Additionally, we observed a significant decrease in the frequency of multiple lymphoid populations in the cryoablated tumors, such as infiltrating NKT cells, T cells, other subpopulations of CD4+ T cells (Naïve, ICOS+, effector/effector memory), and subpopulations of CD8+ T cells (CD107a+ and effector/effector memory) (Figure 3A), as well as myeloid populations, such as CD8a+ XCR1+ (resident) DCs, Ly6Gint neutrophils, and M1-like macrophages (Figure 3B) compared to the resected baseline control tumor. The decreased frequency of these populations reflects the significant increase in the frequency of CD11b+ myeloid cells at the cryoablated tumor (Figure 3B). More importantly, the percentage of these immune cells in the cryoablated tumor is clinically significant since they represent new tumor infiltrating immune cells.

DCs capture antigens in the tumor and transport them to the TdLN to activate T cells. At the lymph node draining the primary (treated) tumor, collected one-week after resection/cryoablation, we observed a trend for having more migratory cDC1s (CD103+ XCR1+) in the cryoablation group, compared to resection, while most other populations seemed to present similar frequencies between the 2 groups (Figure 4). Not surprisingly, we also observed a trend for having lesser central memory CD4+ T cells, which was expected at this early time-point (Figure 4).

Altogether, these results demonstrate the ability of cryoablation to induce an inflammatory response that has the potential to generate an abscopal effect, by recruiting more naïve cells and boosting antigen presentation.

3.3 Cryoablation of primary tumors shifts the TIME at abscopal tumors towards an enhanced anti-tumoral state

For analysis of the immune populations at abscopal tumors (collected at three weeks), the frequencies of each experiment were normalized to the average frequencies of the control resected tumors (collected at two weeks) from the same experiment, to minimize the variance between experiments due to exterior factors. Raw immune frequencies from abscopal tumors, not normalized to the resected tumors, are available in Supplementary Figure 2.

Live immune cells from abscopal tumors were analyzed by t-distributed stochastic neighbor embedding (t-SNE), an unsupervised non-linear dimensionality reduction technique to explore and visualize the data. Lymphoid populations successfully clustered together based on similarity (Figure 5A, Supplementary Figure 3). Abscopal tumors from resection (AR) showed greater enrichment of myeloid cells, whereas abscopal tumors from cryoablation (AC) showed enrichment of T cells (CD4+ and CD8+) and NK cells (Figure 5B). Quantitative analysis showed a significant increase in the frequency of NK cells in the abscopal tumors from cryoablation compared to abscopal tumors from resection, and similar trends for other important populations, such as CD4+ and CD8+ effector/effector memory cells (Figure 5C). Interestingly, there was a significant decrease in the frequency of CD4+ and CD8+ pre-effector cells, suggesting that cryoablation of primary tumor may be accelerating the development of effector/effector memory T cells in abscopal tumors compared to resection (Figure 5C). The frequencies of NKT and T cells, and ICOS+ CD4+ and CD8+ T cells were similar between both groups (Figure 5C).

Myeloid populations also successfully clustered together (Figure 6A, Supplementary Figure 3). Different myeloid populations were enriched between abscopal tumors from resection and cryoablation, with inflammatory monocytes and M1-like TAMs being enriched in abscopal tumors from resection (Figure 6B). Quantitative analysis showed that abscopal tumors from cryoablation tended to have reduced inflammatory cell infiltration, characterized by a significant decrease in the frequency of M1-like TAMs, and overall trends for reduced Ly6Gint neutrophils, inflammatory monocytes (Ly6Chi MHC-IIlo), and immature macrophages (Ly6C+ MHC-IIhi) (Figure 6C). We also observed a trend for increased frequencies of multiple DC populations (Figure 6C).

These results indicate that cryoablation is positively influencing the abscopal tumor, by leading to increased frequencies of anti-tumor cells, and decreased frequencies of pro-tumoral cells when compared to abscopal tumors from resection.

3.4 Cryoablation enhances cDC1 infiltration in the spleen

We observed a significant increase in the frequency of migratory (CD103+ XCR1+) cDC1 cells in the spleens of mice from the cryoablation group, compared to resection (Figure 7A), which suggests cryoablation may result in activation of T cells at the periphery by enhancing DC activity. Considering that the animals were sacrificed one-week post-resection/cryoablation to allow analysis of early immune responses, it is promising to observe increase in the frequency of a population so important for immune activation in response to the cryoablation treatment. Frequencies of other immune populations analyzed at the spleen, lymph nodes draining abscopal tumors, and blood remained unchanged (Figures 7A–C).

3.5 Cryoablation of primary tumor modifies the expression of immune-related genes at abscopal tumors, altering important anti-tumor pathways

To investigate the gene expression differences underlying the previously described results and to provide knowledge to guide follow-up therapy choices in the clinical settings, we conducted Next-Generation RNA-Sequencing with resected and abscopal tumors. Globally, cryoablation induces both similar and unique changes in the abscopal tumor gene signature compared to resection (Figure 8A). Abscopal tumors from cryoablation displayed numerous significantly upregulated (1136) and downregulated (1406) genes compared to those from resection (Supplementary Table 2), demonstrating the systemic effects of cryoablation at the gene level (Figure 8B).

Figure 8
www.frontiersin.org

Figure 8. Cryoablation of primary tumor modifies the immune signature of distant tumors. (A) Venn diagram for differentially expressed genes for each tumor treatment condition compared to baseline control tumors. (B) Differential gene expression analysis on RNA sequencing of abscopal tumors from cryoablation in comparison to abscopal tumors from resection. (C) STRING analysis of abscopal tumors from cryoablation versus abscopal tumors from resection. (D) Gene Ontology of enriched immune pathways and associated genes in abscopal tumors from cryoablation, compared to abscopal tumors from resection. (E) Gene set enrichment analysis (GSEA) of significantly enriched immune pathways in abscopal tumors from cryoablation, compared to abscopal tumors from resection. R, resected tumor; AR, abscopal tumor from resection; AC, abscopal tumor from cryoablation. n = 5.

We used pathways analyses to define the immune-related changes between abscopal tumors from cryoablation and resection. STRING analysis revealed regulation of important genes involved with cell activation, cytokine production and receptor signaling pathways, with some differentially expressed genes (DEGs) suggesting cryoablation positively affected the anti-tumor activity, such as downregulation in the expression of Cd276, Cd34, Mmp2, and the pro-tumoral cytokine Ccl1, and up-regulation of Il5ra and Nlrp12. Other DEGs suggest negative modulation of anti-tumor activity, including enrichment of Cxcr5 and Cadm1, genes linked with tumor development, progression, or migration, and down-regulation of Xcr1, a gene specific for the cDC1 subset (Figure 8C). Notably, we observed infiltration of anti-tumor immune cells in the abscopal tumors from cryoablation compared to resection (Figure 5), indicating that modulation of these genes does not adversely affect immune frequencies at the tumor sites.

Gene Ontology analysis further revealed upregulation of genes involved with NK cell activation, lymphocyte activation, leukocyte chemotaxis, leukocyte mediated toxicity, and innate immune response, among others (Figure 8D). Some upregulated genes worth highlighting are Pfr1 (encodes perforin), and Il2ra, which are involved with CD8+ T cell cytotoxicity and T cell activation, respectively (Figure 8D). We tested the protein expression of some of these genes and others associated with T and NK cell cytotoxicity (CD4, CD8, IFN-γ, Perforin 1, and NKp46) via immunofluorescence imaging within the tumor sections. Overall, both abscopal tumors from resection and cryoablation had increased frequencies of CD8+ T cells compared to baseline resected tumors and an elevated IFN-γ signature, however these appeared to be equal between treatment groups (Supplementary Figure 4A). Interestingly, localization analysis indicates higher accumulation of CD4+ T cells and IFN-γ staining in the center of abscopal tumors from cryoablation, which suggests cryoablation induces better infiltration of abscopal tumors by select cell types (Supplementary Figure 4B). No clear differences were observed for Perforin 1 and NKp46 expression by immunofluorescence (Supplementary Figure 5). Representative images of each channel are presented in Supplementary Figure 6.

Lastly, we used Gene Set Enrichment Analysis (GSEA) to gain deeper insights on how cryoablation differentially modulates the abscopal immune response compared to resection. We found cryoablation led to enrichment of the inflammatory response, as well as the IL-2-STAT5 and IL-6-JAK-STAT3 signaling pathways at the abscopal tumors, compared to resection (Figure 8E). These findings combined with the flow cytometry results suggest that the increased inflammatory response occurring at the cryoablated tumors (Figure 3) might also lead to an enhanced inflammatory response at the abscopal tumors. Complimentary IPA analysis showed that amongst the top 20 immune pathways influenced by cryoablation and resection, there is downregulation of genes involved with TREM1, phagosome formation, and IL-8 signaling (Supplementary Figure 7A). Altogether, these data agree with previous studies showing the potential of cryoablation to generate the abscopal effect and show for the first time that as early as one-week after cryoablation, many anti-tumoral pathways are affected in distant (abscopal) tumors, in a mouse model of TNBC.

3.6 Deconvolution analysis of resected tumors by Cibersort can help guide therapeutic decisions

Cibersort is a computational method for estimating the immune composition of a sample from bulk tissue gene expression profiles, by combining support vector regression with prior knowledge of expression profiles from purified leukocyte subsets. We found that deconvolution analysis of bulk tissue gene expression, obtained from tumor sections prepared in slides, allows observation of the frequency of multiple immune populations (Supplementary Figure 7B). The ability to determine the frequency of immune cells for resected tumors using Cibersort demonstrates how this technique could be translated to the clinic with primary tumor biopsies to provide additional TIL information to help select potential candidates and guide treatment decisions.

4 Discussion

Surgically resecting aggressive tumors while maintaining cancer-free margins remains the mainstay of local therapy, however, the eventual prognosis largely dictated by tumor biology remains poor (43); though chemotherapeutic agents and radiation may aid in that scenario (44). Despite recent treatment advancements, particularly with the use of immunotherapeutic agents, TNBC patients remain at high risk for recurrence and metastasis (1417) with addition of toxicities from these newer agents. Thus, strategies that elicit an improved anti-tumor immune response and overcome resistance are necessary for advancing the current standard of care. Cryoablation is a promising alternative to resection, since it kills the tumor cells and can provide a vast repertoire of preserved tumor cell associated antigens to boost the activation of immune cells (21). The activated anti-tumor T cells can then recognize both local and potential distant metastatic tumor cells. While cryoablation is already in clinical use to treat small/low-risk breast tumors, its clinical efficacy for TNBC remains unknown. Our prior study using animal models suggests cryoablation is a suitable substitute for resection, possessing the same ability to kill the tumor mass, while generating a superior immune response, characterized by increased infiltration of abscopal tumors by lymphocytes, and decreased metastasis rate at six weeks after the treatment (29). However, the early markers and the mechanisms that lead to the improved response are still unknown and knowledge of those will aid in the development of combinational therapies for cryoablation and pave the way for its use for TNBC.

Here, we show for the first time in a mouse model of TNBC that systemic changes are observable as early as one-week post-cryoablation. One such effect was reflected in tumor weights, with abscopal tumors from mice with cryoablated primary tumors presenting a significantly lower weight on day of sacrifice, than abscopal tumors from resection. The ability of cryoablation to induce superior control of tumor volume distantly at this early time-point suggests that the approach might result in improved surveillance for metastasis, which could significantly extend survival of TNBC patients, since currently only about 12% of patients with distant disease survive 5 years after diagnosis (18). Immune profiling by flow cytometry supports a model that early changes in immune cell frequencies contribute to the greater abscopal tumor elimination in mice from the cryoablation group. For example, we observed a significant increase in the frequency of NK cells in the abscopal tumors from cryoablation compared to abscopal tumors from resection, and trends for having more CD4+ and CD8+ effector/effector memory T cells.

NK cells are cytotoxic innate lymphocytes that can recognize and destroy tumor cells independently of major histocompatibility complex class I (MHC-I) molecules (45, 46). Tumor cells often downregulate the expression of MHC-I to avoid recognition by CD8+ T lymphocytes. Elegantly, NK cells activate when engaged with MHC-I-null cells resulting in direct tumor cell killing (46). Besides monitoring for the expression of MHC molecules, NK cells also detect stress-triggered self-ligands, which makes them able to recognize tumor cells even when they have retained MHC-I expression (47, 48). Therefore, having NK and T cells present in the tumor microenvironment is a powerful combination that allows the elimination of the tumor cells, where one cell can suffice this function when the other is not able to. Sabel et al. observed that NK cells obtained from the spleen of mice one-week after breast tumor cryoablation presented increased cytotoxic activity in vitro (30). In combination with our in vivo data, this suggests that cryoablation may influence the frequency and activity of NK cells. Future studies should evaluate the cytotoxic tumor killing ability of NK cells obtained from the abscopal tumors to completely elucidate this mechanism.

The molecules CD62L and CD44 have traditionally been used in flow cytometry to classify T cells into different subsets. Recently, a group defined the rarely studied double-negative (CD62L-, CD44-) CD4+ and CD8+ T cells as “pre-effector” cells, which have evidence to originate from naïve cells and can give rise to effector/effector memory T cells (33). In our results, we observed a significant decrease in the frequency of pre-effector CD4+ and CD8+ T cells in abscopal tumors from cryoablation, which was accompanied by a trend for having more effector/effector memory CD4+ and CD8+ T cells, compared to abscopal tumors from resection. These data suggest that cryoablation of the primary tumor might accelerate the development of effector/effector memory T cells in the abscopal tumors compared to resection.

The superior activation of CD4+ and CD8+ T cells could be induced by a higher frequency of migratory cDC1s (XCR1+ CD103+), which possess the unique ability to transport tumor antigens to lymphoid structures and excel at cross-presenting the TAAs to CD8+ T cells (49). At one-week post-cryoablation, we did not find statistical increases for those populations in the tumors. Nevertheless, we observed an overall trend for having more migratory DCs in the abscopal tumors and TdLNs in mice treated with cryoablation, and a significant increase in the frequency of that population in the spleens. Considering that one DC has the ability to scan over 500 T cells per hour (50), minor increases in their frequency may improve important T cell responses. Our results suggest the increased frequencies of migratory cDC1s may be one of the mechanisms resulting in heightened frequencies of effector/effector memory T cells. This model agrees with previous studies supporting the hypothesis that cryoablation improves anti-tumor immunity by recovering the function of DCs present in TdLNs (51) and enhancing the migration of DCs from the tumor to the TdLN (52). Further evidence that cDC1s play a role in the cryoablation-generated abscopal effect is supported by previous studies with other tumor models in which cryoablation in combination with dendritic cell therapy increased the anti-tumor immune response (53, 54). Indeed, the profile of immune cells in the axillary TdLNs is known to provide prognostic value for breast cancer patients, with increased CD4+ T cells and CD1a+ DCs correlating with higher rates of disease-free survival (55).

Another mechanism that may contribute to the improved anti-tumor response is the reduction of immunosuppressive signals in the abscopal tumors from cryoablation, partly provided by myeloid cells. We observed a significant decrease in the frequency of M1-like macrophages, and an overall trend for having fewer Ly6Gint neutrophils, immature macrophages, and inflammatory monocytes. M1-like macrophages are classically defined as anti-tumoral, while M2-like macrophages are pro-tumoral; however, these are only two states along a spectrum of different macrophage phenotypes (56, 57). For breast cancer, previous studies showed that having higher macrophage density (regardless of phenotype) correlated with poor prognosis (58, 59); therefore, having fewer M1-like macrophages at the abscopal tumors could be beneficial. Combined with the decreased immature macrophages and inflammatory monocytes signature, which are also considered pro-tumoral (6063), the results suggest cryoablation alleviates immunosuppression at the abscopal tumors compared to those from resection. Importantly, Ly6Gint Siglec-Fhi neutrophils were established as immunosuppressive in lung cancer and acute spleen infections (3436), and the trend for having decreased frequencies of those cells at the abscopal tumors from cryoablation corroborates the above-mentioned hypothesis, but further studies are needed to confirm the immunosuppressive activity of these cells in mouse breast cancer models. Additionally, it will be important to measure immunosuppressive activity of all populations mentioned here, to understand whether cryoablation is affecting functionality as well, or exclusively recruitment.

Besides the significant increase in the frequency of migratory cDC1s in the spleen of cryoablated mice, other immune cell frequencies were similar in abscopal tumors from cryoablation and resection in the spleen and blood. Our findings agree with results from Sabel et al., which showed that tumor-specific T cell responses after cryoablation were present locally (TdLN) with no major changes in the periphery (spleen), with the caveat that this study examined only cytokine secretion and cytotoxic activity, and not immune cell frequencies (30). Interestingly, we observed a trend for reduced systemic central memory CD4+ T cells. Central memory T cells are important to provide a fast and augmented immune response upon secondary exposure to previously encountered antigens and, therefore, are desirable in the tumor context. However, since our analysis was carried out to evaluate early events, it was expected that there would not be increased frequencies of central memory CD4+ T cell generation with cryoablation and it would be more appropriate to analyze this population at later time points in future studies.

We used RNA-seq analysis to identify potential mechanisms of the early immune response leading to an enhanced abscopal effect induced by cryoablation compared to resection. Results confirm that it is possible to observe the abscopal effects of cryoablation as early as one-week after the procedure, with multiple pathways being affected by the treatment, such as leukocyte chemotaxis, lymphocyte activation and NK cell activation, which aligns with the flow cytometry data. Some of the upregulated genes at abscopal tumors from cryoablation could be underlying the differences found at the protein level by flow cytometry; the increased expression of Il12b and Il2ra might be one of the mechanisms leading to higher NK cell frequencies at the abscopal tumors by inducing their generation, recruitment, and activation (64, 65). The increased expression of Pfr1 at abscopal tumors from cryoablation further suggests that NK/NKT and T cells at the TIME are potentially secreting more perforin, which could be one of the means leading to the decreased abscopal tumor weight, but additional functional experiments are needed to confirm this hypothesis. We observed that some of the DEGs in the abscopal tumors from cryoablation compared to those of resection suggest negative modulation of the anti-tumor activity, however, considering the decreased abscopal tumor size, increased infiltration by anti-tumor immune cells and increased anti-tumor gene signature, we believe that this could be part of a mechanism to prevent an exacerbated response that might cause damage to non-cancerous tissue.

Remarkably, GSEA analysis revealed upregulation of the IL-2/STAT5 and IL-6/STAT3 pathways in abscopal tumors from cryoablation compared to abscopal tumors from resection. Various studies showed that expression of STAT5 by tumor cells could act as either a tumor suppressor or oncogene in breast cancer under different circumstances (66), while STAT3 expression in tumor cells has mainly been associated with a pro-tumoral microenvironment (67). As discussed by Halim et al. (66), STAT5 signaling is thought to have oncogenic roles during tumor development, and tumor suppressor functions during tumor progression. Moreover, evidence suggests STAT5 has dominance over STAT3 (68) and that tumor suppressor activities of STAT5 can counteract the oncologic effects of STAT3 (69). Therefore, the results suggest that while also inducing higher STAT3 signaling, cryoablation induces STAT5 signaling, which has the potential to inhibit STAT3 oncogenic signaling and lead to reduced tumor cell proliferation, higher sensitivity to chemotherapy (69), and decreased angiogenesis, tumor cell migration, and metastasis (70, 71). This could be very important for breast cancer, since STAT3 is known to promote breast cancer malignancy and clinical trials have yet to show successful inhibition of its pro-tumoral effects; in that sense, cryoablation could make TNBC more amenable to STAT3-inhibitor treatment, however, confirmational analyses are needed to support these findings.

Under current standard of care practices, it is near impossible to do routine flow cytometry analysis for tumor immune cell infiltrate characterization and so H&E TIL counts are currently used for that purpose with biopsies (72). However, H&E TIL counts does not allow analysis of lymphocyte subpopulations. To identify immune populations without flow cytometry, we used an approach that would be technically achievable based on clinical protocols. We used tissue sections from histology slides (representative of tumor biopsy) for the RNA-seq analysis and deconvolution of the immune cells using Cibersort analysis, representing the most pragmatic clinical approach. We found that this technique allowed identification of multiple and different immune populations for each individual mouse. The goal of this approach was to develop a theoretical approach that can provide insight into the TIME that could be translated to clinical application for identifying best-fit TNBC candidates for cryoablation and to develop appropriate combinational therapies, such as use of immune checkpoint inhibition (ICI).

Lumpectomy with surgical axillary followed by adjuvant treatments is recommended for early-stage breast cancer by the National Comprehensive Cancer Network (NCCN) 2020 guidelines (73). Cryoablation is currently in use for small, low-risk tumors for patients who are not candidates for standard treatment or woman who refuse surgery, and is advantageous over other ablative techniques, such as laser thermotherapy and radiofrequency ablation (RFA), since it causes minimal discomfort and can be performed in the office with local anesthesia, while the others have to be performed in the radiology department, and require anesthesiology-administered sedation for pain control (74). ICE3, a recently completed prospective, multicenter trial found that hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative invasive ductal carcinomas (IDC) treated with cryoablation had a decreased 5-year overall recurrence compared to surgical resection. Subset analyses on patients additionally treated with adjuvant endocrine therapy and combination adjuvant endocrine and radiation therapy found decreased recurrence (75). There are clinical trials investigating cryoablation combined with ICI therapy, as well. With such a promising response in less immunogenic breast cancer, cryoablation could be the key to improving patient outcomes with TNBC. As of August 2024, there were 3 active trials investigating cryoablation in combination with immunotherapy in TNBC on ClinicalTrials.gov, 2 recruiting and 1 not yet recruiting, all utilizing pembrolizumab and one additionally utilizing ipilimumab and nivolumab. Patient selection is rooted in TNBC status and while these results will be interesting to see, screening patients further utilizing molecular profiling could help predict which patients may best benefit from cryoablation and checkpoint inhibition combination therapy, since triple negative tumors encompass both basal-like and non-basal cancers on genomic profiling (76). Further investigation into this would allow individualized treatment with the greatest impact in a poor-prognosis disease.

Although promising results were observed in the animal experiments reported here, some caveats are worth highlighting. Since mice are small, the cryoablation technique had to be adapted. In humans, the procedure is minimally invasive, where the probe is inserted into the breast tumor through a small incision in the skin with guidance from imaging techniques, such as ultrasound; a saline hydro dissection procedure is used to prevent skin frostbite (77). Meanwhile, in mice it is necessary to surgically retract the skin to expose the tumor and, instead of trying to insert the probe into these small tumors, it is laid directly on top of the tumors for freezing (Figure 2A). We acknowledge these modifications make it possible for the surgery to play a role in our results; however, based on the resection controls, we still see significant changes in the immune response to cryoablation compared to resection. Wu et al. showed similar changes in the abscopal tumors as observed in our study, using an analogous cryoablation technique for a model of colon cancer (31).

Besides its application for breast cancer, cryoablation has also been used to treat benign and malignant liver, colon, prostate, skin, kidney, lung and bone tumors, as well as non-tumor heart diseases (78, 79), with advantages and shortcomings involved. Similarly to results observed for breast cancer, cryoablation was shown to be just as effective as resection for small tumors (22, 7982); however, for larger or multifocal tumors, cryoablation showed decreased efficiency, with higher rates of tumor progression and adverse events (8386). Therefore, it seems that combination of cryoablation with other therapies would also be ideal for other tumor types besides TNBC, however, additional research is needed to elucidate the immune effects of the technique in those different microenvironments.

Overall, we observed an improved anti-tumor response due to primary tumor cryoablation. Our gene expression results were reflective of those changes and may provide physicians with clinically actionable information, such as knowledge of genes and pathways affected by cryoablation, which could be implemented to guide decisions for best therapy strategies. In that scenario, a promising follow-up therapy is the combination with immune checkpoint inhibitors, since those will allow sustained activation of effector cells (21, 87). The greater availability of tumor antigens and boosted inflammatory signals offered by cryoablation, combined with the relief of immunosuppressive signals provided by the immune checkpoint inhibitors, may result in a strong enough response to safely treat high-risk breast cancer.

5 Conclusion

Cryoablation induces a systemic abscopal effect, leading to increased frequencies of cytotoxic immune cells at distant tumor sites, which is accompanied by higher frequencies of migratory dendritic cells in the spleen, detectable as early as one-week after the procedure. Gene expression analysis supports those findings and reveals genes and pathways affected by cryoablation, providing the field with new information that could assist in developing combinational therapeutic approaches with cryoablation and potentially help guide therapy decisions.

Data availability statement

The data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus (88) and are accessible through GEO Series accession number GSE282249 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE282249).

Ethics statement

The animal study was approved by Institutional Animal Care & Use Committee, Texas Tech University Health Sciences Center. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

FS: Conceptualization, Data curation, Formal analysis, Investigation, Project administration, Visualization, Writing – original draft, Writing – review & editing. DM: Data curation, Formal analysis, Investigation, Visualization, Writing – original draft, Writing – review & editing, Conceptualization. RB: Writing – original draft, Writing – review & editing, Conceptualization, Investigation, Visualization, Formal analysis. MC: Investigation, Writing – review & editing. GB: Investigation, Writing – review & editing. SK: Writing – original draft, Writing – review & editing. KF: Investigation, Writing – review & editing. IC: Investigation, Writing – review & editing. NW: Investigation, Writing – review & editing. DR: Investigation, Writing – review & editing. KD: Investigation, Writing – review & editing. SS: Resources, Writing – review & editing. KP: Resources, Writing – review & editing, Conceptualization. MM: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing. RL: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported in part by a research grant from The CH Foundation and from ASCO Equipment endowment to Excellence in Women’s Health, TTUHSC.

Acknowledgments

We thank Elizabeth Garcia, LVN and Analicia Ramirez, RN for their expertise in operating the ICE3 machine. Drs. Gunaratne and Mistretta at UH Seq-N-Edit Core (SNEC) at the University of Houston for RNA-sequencing of tumor samples. TTUHSC LARC staff for assisting with animal care. Fluorescent images were generated in the Image Analysis Core Facility supported in part by TTUHSC. Flow Cytometry was performed in the TTUHSC Immunology Core Lab. Figure 1 was created with BioRender.com.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1498942/full#supplementary-material

References

1. Labani-Motlagh A, Ashja-Mahdavi M, Loskog A. The tumor microenvironment: A milieu hindering and obstructing antitumor immune responses. Front Immunol. (2020) 11:940. doi: 10.3389/fimmu.2020.00940

PubMed Abstract | Crossref Full Text | Google Scholar

2. Farhangnia P, Akbarpour M. Immunological tolerance. In: Rezaei N, editor. Encyclopedia of Infection and Immunity. Amsterdam, The Netherlands: Elsevier (2022). p. 206–20.

Google Scholar

3. Gajewski TF. The next hurdle in cancer immunotherapy: overcoming the non-T-cell-inflamed tumor microenvironment. Semin Oncol. (2015) 42:663–71. doi: 10.1053/j.seminoncol.2015.05.011

PubMed Abstract | Crossref Full Text | Google Scholar

4. Duan Q, Zhang H, Zheng J, Zhang L. Turning Cold into Hot: Firing up the Tumor Microenvironment. Trends Cancer. (2020) 6:605–18. doi: 10.1016/j.trecan.2020.02.022

PubMed Abstract | Crossref Full Text | Google Scholar

5. Zemek RM, De Jong E, Chin WL, Schuster IS, Fear VS, Casey TH, et al. Sensitization to immune checkpoint blockade through activation of a STAT1/NK axis in the tumor microenvironment. Sci Transl Med. (2019) 11:501. doi: 10.1126/scitranslmed.aav7816

PubMed Abstract | Crossref Full Text | Google Scholar

6. Ali HR, Chlon L, Pharoah PD, Markowetz F, Caldas C. Patterns of immune infiltration in breast cancer and their clinical implications: A gene-expression-based retrospective study. PloS Med. (2016) 13:e1002194. doi: 10.1371/journal.pmed.1002194

PubMed Abstract | Crossref Full Text | Google Scholar

7. Bense RD, Sotiriou C, Piccart-Gebhart MJ, Haanen J, van Vugt M, de Vries EGE, et al. Relevance of tumor-infiltrating immune cell composition and functionality for disease outcome in breast cancer. J Natl Cancer Inst. (2017) 109:1. doi: 10.1093/jnci/djw192

PubMed Abstract | Crossref Full Text | Google Scholar

8. Hendrickx W, Simeone I, Anjum S, Mokrab Y, Bertucci F, Finetti P, et al. Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis. Oncoimmunology. (2017) 6:e1253654. doi: 10.1080/2162402X.2016.1253654

PubMed Abstract | Crossref Full Text | Google Scholar

9. Liu Z, Li M, Jiang Z, Wang X. A comprehensive immunologic portrait of triple-negative breast cancer. Transl Oncol. (2018) 11:311–29. doi: 10.1016/j.tranon.2018.01.011

PubMed Abstract | Crossref Full Text | Google Scholar

10. Mittendorf EA, Philips AV, Meric-Bernstam F, Qiao N, Wu Y, Harrington S, et al. PD-L1 expression in triple-negative breast cancer. Cancer Immunol Res. (2014) 2:361–70. doi: 10.1158/2326-6066.CIR-13-0127

PubMed Abstract | Crossref Full Text | Google Scholar

11. Rudqvist NP, Charpentier M, Lhuillier C, Wennerberg E, Spada S, Sheridan C, et al. Immunotherapy targeting different immune compartments in combination with radiation therapy induces regression of resistant tumors. Nat Commun. (2023) 14:5146. doi: 10.1038/s41467-023-40844-3

PubMed Abstract | Crossref Full Text | Google Scholar

12. Mei J, Cai Y, Zhu H, Jiang Y, Fu Z, Xu J, et al. High B7-H3 expression with low PD-L1 expression identifies armored-cold tumors in triple-negative breast cancer. NPJ Breast Cancer. (2024) 10:11. doi: 10.1038/s41523-024-00618-6

PubMed Abstract | Crossref Full Text | Google Scholar

13. Meng M, Wu J, Feng Y, Lin L, Chen J, Pang X, et al. A comprehensive strategy based on high clinical translational nanosystem for programmable immunotherapy of triple negative breast cancer. Adv Mater. (2024) 36:e2314309. doi: 10.1002/adma.202314309

PubMed Abstract | Crossref Full Text | Google Scholar

14. Dent R, Trudeau M, Pritchard KI, Hanna WM, Kahn HK, Sawka CA, et al. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res. (2007) 13:4429–34. doi: 10.1158/1078-0432.CCR-06-3045

PubMed Abstract | Crossref Full Text | Google Scholar

15. Wang L, Zhai Q, Lu Q, Lee K, Zheng Q, Hong R, et al. Clinical genomic profiling to identify actionable alterations for very early relapsed triple-negative breast cancer patients in the Chinese population. Ann Med. (2021) 53:1358–69. doi: 10.1080/07853890.2021.1966086

PubMed Abstract | Crossref Full Text | Google Scholar

16. Bianchini G, De Angelis C, Licata L, Gianni L. Treatment landscape of triple-negative breast cancer - expanded options, evolving needs. Nat Rev Clin Oncol. (2022) 19:91–113. doi: 10.1038/s41571-021-00565-2

PubMed Abstract | Crossref Full Text | Google Scholar

17. Chaudhary LN, Wilkinson KH, Kong A. Triple-negative breast cancer: who should receive neoadjuvant chemotherapy? Surg Oncol Clin N Am. (2018) 27:141–53. doi: 10.1016/j.soc.2017.08.004

PubMed Abstract | Crossref Full Text | Google Scholar

18. SEER*Explorer. An Interactive Website for SEER Cancer Statistics (2023). Available online at: https://seer.cancer.gov/explorer/ (accessed March 1, 2023)

Google Scholar

19. Baust JG, Gage AA. The molecular basis of cryosurgery. BJU Int. (2005) 95:1187–91. doi: 10.1111/j.1464-410X.2005.05502.x

PubMed Abstract | Crossref Full Text | Google Scholar

20. Pusceddu C, Paliogiannis P, Nigri G, Fancellu A. Cryoablation in the management of breast cancer: evidence to date. Breast Cancer (Dove Med Press). (2019) 11:283–92. doi: 10.2147/BCTT.S197406

PubMed Abstract | Crossref Full Text | Google Scholar

21. Regen-Tuero HC, Ward RC, Sikov WM, Littrup PJ. Cryoablation and immunotherapy for breast cancer: overview and rationale for combined therapy. Radiol Imaging Cancer. (2021) 3:e200134. doi: 10.1148/rycan.2021200134

PubMed Abstract | Crossref Full Text | Google Scholar

22. Habrawi Z, Melkus MW, Khan S, Henderson J, Brandi L, Chu V, et al. Cryoablation: A promising non-operative therapy for low-risk breast cancer. Am J Surg. (2021) 221:127–33. doi: 10.1016/j.amjsurg.2020.07.028

PubMed Abstract | Crossref Full Text | Google Scholar

23. Niu L, Wu B, Xu K. Cryosurgery for breast fibroadenomas. Gland Surg. (2012) 1:128–31. doi: 10.3978/j.issn.2227-684X.2012.08.02

PubMed Abstract | Crossref Full Text | Google Scholar

24. Kaufman CS, Littrup PJ, Freeman-Gibb LA, Smith JS, Francescatti D, Simmons R, et al. Office-based cryoablation of breast fibroadenomas with long-term follow-up. Breast J. (2005) 11:344–50. doi: 10.1111/j.1075-122X.2005.21700.x

PubMed Abstract | Crossref Full Text | Google Scholar

25. Littrup PJ, Jallad B, Chandiwala-Mody P, D'Agostini M, Adam BA, Bouwman D. Cryotherapy for breast cancer: a feasibility study without excision. J Vasc Interv Radiol. (2009) 20:1329–41. doi: 10.1016/j.jvir.2009.06.029

PubMed Abstract | Crossref Full Text | Google Scholar

26. Paepke S, Metz S, Brea Salvago A, Ohlinger R. Benign breast tumours - diagnosis and management. Breast Care (Basel). (2018) 13:403–12. doi: 10.1159/000495919

PubMed Abstract | Crossref Full Text | Google Scholar

27. Kumar AV, Patterson SG, Plaza MJ. Abscopal effect following cryoablation of breast cancer. J Vasc Interv Radiol. (2019) 30:466–9. doi: 10.1016/j.jvir.2018.12.004

PubMed Abstract | Crossref Full Text | Google Scholar

28. Kaplan JL, Turker I, Chumsri S, Gabriel E. Abscopal effect following cryoablation in a patient with metastatic breast cancer. Front Biosci (Schol Ed). (2023) 15:2. doi: 10.31083/j.fbs1501002

PubMed Abstract | Crossref Full Text | Google Scholar

29. Khan SY, Melkus MW, Rasha F, Castro M, Chu V, Brandi L, et al. Tumor-infiltrating lymphocytes (TILs) as a biomarker of abscopal effect of cryoablation in breast cancer: A pilot study. Ann Surg Oncol. (2022) 29:2914–25. doi: 10.1245/s10434-021-11157-w

PubMed Abstract | Crossref Full Text | Google Scholar

30. Sabel MS, Nehs MA, Su G, Lowler KP, Ferrara JL, Chang AE. Immunologic response to cryoablation of breast cancer. Breast Cancer Res Treat. (2005) 90:97–104. doi: 10.1007/s10549-004-3289-1

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wu Y, Cao F, Zhou D, Chen S, Qi H, Huang T, et al. Cryoablation reshapes the immune microenvironment in the distal tumor and enhances the anti-tumor immunity. Front Immunol. (2022) 13:930461. doi: 10.3389/fimmu.2022.930461

PubMed Abstract | Crossref Full Text | Google Scholar

32. Tao K, Fang M, Alroy J, Sahagian GG. Imagable 4T1 model for the study of late stage breast cancer. BMC Cancer. (2008) 8:228. doi: 10.1186/1471-2407-8-228

PubMed Abstract | Crossref Full Text | Google Scholar

33. Nakajima Y, Chamoto K, Oura T, Honjo T. Critical role of the CD44(low)CD62L(low) CD8(+) T cell subset in restoring antitumor immunity in aged mice. Proc Natl Acad Sci U.S.A. (2021) 118:23. doi: 10.1073/pnas.2103730118

PubMed Abstract | Crossref Full Text | Google Scholar

34. Mackey JBG, Coffelt SB, Carlin LM. Neutrophil maturity in cancer. Front Immunol. (2019) 10:1912. doi: 10.3389/fimmu.2019.01912

PubMed Abstract | Crossref Full Text | Google Scholar

35. Deniset JF, Surewaard BG, Lee WY, Kubes P. Splenic Ly6G(high) mature and Ly6G(int) immature neutrophils contribute to eradication of S. pneumoniae. J Exp Med. (2017) 214:1333–50. doi: 10.1084/jem.20161621

PubMed Abstract | Crossref Full Text | Google Scholar

36. Wieboldt R, Sandholzer M, Carlini E, Lin CW, Borsch A, Zingg A, et al. Engagement of sialylated glycans with Siglec receptors on suppressive myeloid cells inhibits anticancer immunity via CCL2. Cell Mol Immunol. (2024) 21:495–509. doi: 10.1038/s41423-024-01142-0

PubMed Abstract | Crossref Full Text | Google Scholar

37. Siwicki M, Pittet MJ. Versatile neutrophil functions in cancer. Semin Immunol. (2021) 57:101538. doi: 10.1016/j.smim.2021.101538

PubMed Abstract | Crossref Full Text | Google Scholar

38. Zilionis R, Engblom C, Pfirschke C, Savova V, Zemmour D, Saatcioglu HD, et al. Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species. Immunity. (2019) 50:1317–1334.e10. doi: 10.1016/j.immuni.2019.03.009

PubMed Abstract | Crossref Full Text | Google Scholar

39. Pfirschke C, Engblom C, Gungabeesoon J, Lin Y, Rickelt S, Zilionis R, et al. Tumor-promoting Ly-6G(+) SiglecF(high) cells are mature and long-lived neutrophils. Cell Rep. (2020) 32:108164. doi: 10.1016/j.celrep.2020.108164

PubMed Abstract | Crossref Full Text | Google Scholar

40. Liao C, Luo S, Liu X, Zhang L, Xie P, Zhou W, et al. Siglec-F(+) neutrophils in the spleen induce immunosuppression following acute infection. Theranostics. (2024) 14:2589–604. doi: 10.7150/thno.93812

PubMed Abstract | Crossref Full Text | Google Scholar

41. Georgoudaki AM, Prokopec KE, Boura VF, Hellqvist E, Sohn S, Ostling J, et al. Reprogramming tumor-associated macrophages by antibody targeting inhibits cancer progression and metastasis. Cell Rep. (2016) 15:2000–11. doi: 10.1016/j.celrep.2016.04.084

PubMed Abstract | Crossref Full Text | Google Scholar

42. Movahedi K, Laoui D, Gysemans C, Baeten M, Stange G, Van den Bossche J, et al. Different tumor microenvironments contain functionally distinct subsets of macrophages derived from Ly6C(high) monocytes. Cancer Res. (2010) 70:5728–39. doi: 10.1158/0008-5472.CAN-09-4672

PubMed Abstract | Crossref Full Text | Google Scholar

43. Mullenix PS, Cuadrado DG, Steele SR, Martin MJ, See CS, Beitler AL, et al. Secondary operations are frequently required to complete the surgical phase of therapy in the era of breast conservation and sentinel lymph node biopsy. Am J Surg. (2004) 187:643–6. doi: 10.1016/j.amjsurg.2004.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

44. Wang SE, Sun YD, Zhao SJ, Wei F, Yang G. Breast conserving surgery (BCS) with adjuvant radiation therapy showed improved prognosis compared with mastectomy for early staged triple negative breast cancer patients Running title: BCS had better prognosis than mastectomy for early TNBC patients. Math Biosci Eng. (2019) 17:92–104. doi: 10.3934/mbe.2020005

PubMed Abstract | Crossref Full Text | Google Scholar

45. Watzl C. How to trigger a killer: modulation of natural killer cell reactivity on many levels. Adv Immunol. (2014) 124:137–70. doi: 10.1016/B978-0-12-800147-9.00005-4

PubMed Abstract | Crossref Full Text | Google Scholar

46. Cheng M, Chen Y, Xiao W, Sun R, Tian Z. NK cell-based immunotherapy for Malignant diseases. Cell Mol Immunol. (2013) 10:230–52. doi: 10.1038/cmi.2013.10

PubMed Abstract | Crossref Full Text | Google Scholar

47. Anfossi N, Andre P, Guia S, Falk CS, Roetynck S, Stewart CA, et al. Human NK cell education by inhibitory receptors for MHC class I. Immunity. (2006) 25:331–42. doi: 10.1016/j.immuni.2006.06.013

PubMed Abstract | Crossref Full Text | Google Scholar

48. Kiaei SZF, Nouralishahi A, Ghasemirad M, Barkhordar M, Ghaffari S, Kheradjoo H, et al. Advances in natural killer cell therapies for breast cancer. Immunol Cell Biol. (2023) 101:705–26. doi: 10.1111/imcb.v101.8

PubMed Abstract | Crossref Full Text | Google Scholar

49. Liu P, Zhao L, Kroemer G, Kepp O. Conventional type 1 dendritic cells (cDC1) in cancer immunity. Biol Direct. (2023) 18:71. doi: 10.1186/s13062-023-00430-5

PubMed Abstract | Crossref Full Text | Google Scholar

50. Bousso P, Robey E. Dynamics of CD8+ T cell priming by dendritic cells in intact lymph nodes. Nat Immunol. (2003) 4:579–85. doi: 10.1038/ni928

PubMed Abstract | Crossref Full Text | Google Scholar

51. He XZ, Wang QF, Han S, Wang HQ, Ye YY, Zhu ZY, et al. Cryo-ablation improves anti-tumor immunity through recovering tumor educated dendritic cells in tumor-draining lymph nodes. Drug Des Devel Ther. (2015) 9:1449–58. doi: 10.2147/DDDT.S76592

PubMed Abstract | Crossref Full Text | Google Scholar

52. den Brok MH, Sutmuller RP, Nierkens S, Bennink EJ, Frielink C, Toonen LW, et al. Efficient loading of dendritic cells following cryo and radiofrequency ablation in combination with immune modulation induces anti-tumour immunity. Br J Cancer. (2006) 95:896–905. doi: 10.1038/sj.bjc.6603341

PubMed Abstract | Crossref Full Text | Google Scholar

53. Alteber Z, Azulay M, Cafri G, Vadai E, Tzehoval E, Eisenbach L. Cryoimmunotherapy with local co-administration of ex vivo generated dendritic cells and CpG-ODN immune adjuvant, elicits a specific antitumor immunity. Cancer Immunol Immunother. (2014) 63:369–80. doi: 10.1007/s00262-014-1520-4

PubMed Abstract | Crossref Full Text | Google Scholar

54. Machlenkin A, Goldberger O, Tirosh B, Paz A, Volovitz I, Bar-Haim E, et al. Combined dendritic cell cryotherapy of tumor induces systemic antimetastatic immunity. Clin Cancer Res. (2005) 11:4955–61. doi: 10.1158/1078-0432.CCR-04-2422

PubMed Abstract | Crossref Full Text | Google Scholar

55. Kohrt HE, Nouri N, Nowels K, Johnson D, Holmes S, Lee PP. Profile of immune cells in axillary lymph nodes predicts disease-free survival in breast cancer. PloS Med. (2005) 2:e284. doi: 10.1371/journal.pmed.0020284

PubMed Abstract | Crossref Full Text | Google Scholar

56. Gautier EL, Shay T, Miller J, Greter M, Jakubzick C, Ivanov S, et al. Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages. Nat Immunol. (2012) 13:1118–28. doi: 10.1038/ni.2419

PubMed Abstract | Crossref Full Text | Google Scholar

57. Xue J, Schmidt SV, Sander J, Draffehn A, Krebs W, Quester I, et al. Transcriptome-based network analysis reveals a spectrum model of human macrophage activation. Immunity. (2014) 40:274–88. doi: 10.1016/j.immuni.2014.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

58. Leek RD, Lewis CE, Whitehouse R, Greenall M, Clarke J, Harris AL. Association of macrophage infiltration with angiogenesis and prognosis in invasive breast carcinoma. Cancer Res. (1996) 56:4625–9.

Google Scholar

59. Tsutsui S, Yasuda K, Suzuki K, Tahara K, Higashi H, Era S. Macrophage infiltration and its prognostic implications in breast cancer: the relationship with VEGF expression and microvessel density. Oncol Rep. (2005) 14:425–31. doi: 10.3892/or.14.2.425

PubMed Abstract | Crossref Full Text | Google Scholar

60. Zhan X, He Q, Sheng J, Jiang X, Lin L, Huang Y, et al. USP12 positively regulates M-MDSC function to inhibit antitumour immunity through deubiquitinating and stabilizing p65. Immunology. (2022) 167:544–57. doi: 10.1111/imm.v167.4

PubMed Abstract | Crossref Full Text | Google Scholar

61. Wang YH, Shen CY, Lin SC, Kuo WH, Kuo YT, Hsu YL, et al. Monocytes secrete CXCL7 to promote breast cancer progression. Cell Death Dis. (2021) 12:1090. doi: 10.1038/s41419-021-04231-4

PubMed Abstract | Crossref Full Text | Google Scholar

62. Sinha P, Clements VK, Fulton AM, Ostrand-Rosenberg S. Prostaglandin E2 promotes tumor progression by inducing myeloid-derived suppressor cells. Cancer Res. (2007) 67:4507–13. doi: 10.1158/0008-5472.CAN-06-4174

PubMed Abstract | Crossref Full Text | Google Scholar

63. Solito S, Marigo I, Pinton L, Damuzzo V, Mandruzzato S, Bronte V. Myeloid-derived suppressor cell heterogeneity in human cancers. Ann N Y Acad Sci. (2014) 1319:47–65. doi: 10.1111/nyas.2014.1319.issue-1

PubMed Abstract | Crossref Full Text | Google Scholar

64. Ohs I, van den Broek M, Nussbaum K, Munz C, Arnold SJ, Quezada SA, et al. Interleukin-12 bypasses common gamma-chain signalling in emergency natural killer cell lymphopoiesis. Nat Commun. (2016) 7:13708. doi: 10.1038/ncomms13708

PubMed Abstract | Crossref Full Text | Google Scholar

65. Dybkaer K, Iqbal J, Zhou G, Geng H, Xiao L, Schmitz A, et al. Genome wide transcriptional analysis of resting and IL2 activated human natural killer cells: gene expression signatures indicative of novel molecular signaling pathways. BMC Genomics. (2007) 8:230. doi: 10.1186/1471-2164-8-230

PubMed Abstract | Crossref Full Text | Google Scholar

66. Halim CE, Deng S, Ong MS, Yap CT. Involvement of STAT5 in oncogenesis. Biomedicines. (2020) 8. doi: 10.3390/biomedicines8090316

PubMed Abstract | Crossref Full Text | Google Scholar

67. Manore SG, Doheny DL, Wong GL, Lo HW. IL-6/JAK/STAT3 signaling in breast cancer metastasis: biology and treatment. Front Oncol. (2022) 12:866014. doi: 10.3389/fonc.2022.866014

PubMed Abstract | Crossref Full Text | Google Scholar

68. Oestreich KJ, Mohn SE, Weinmann AS. Molecular mechanisms that control the expression and activity of Bcl-6 in TH1 cells to regulate flexibility with a TFH-like gene profile. Nat Immunol. (2012) 13:405–11. doi: 10.1038/ni.2242

PubMed Abstract | Crossref Full Text | Google Scholar

69. Walker SR, Nelson EA, Zou L, Chaudhury M, Signoretti S, Richardson A, et al. Reciprocal effects of STAT5 and STAT3 in breast cancer. Mol Cancer Res. (2009) 7:966–76. doi: 10.1158/1541-7786.MCR-08-0238

PubMed Abstract | Crossref Full Text | Google Scholar

70. Sultan AS, Xie J, LeBaron MJ, Ealley EL, Nevalainen MT, Rui H. Stat5 promotes homotypic adhesion and inhibits invasive characteristics of human breast cancer cells. Oncogene. (2005) 24:746–60. doi: 10.1038/sj.onc.1208203

PubMed Abstract | Crossref Full Text | Google Scholar

71. Gutzman JH, Rugowski DE, Nikolai SE, Schuler LA. Stat5 activation inhibits prolactin-induced AP-1 activity: distinct prolactin-initiated signals in tumorigenesis dependent on cell context. Oncogene. (2007) 26:6341–8. doi: 10.1038/sj.onc.1210454

PubMed Abstract | Crossref Full Text | Google Scholar

72. El Bairi K, Haynes HR, Blackley E, Fineberg S, Shear J, Turner S, et al. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group. NPJ Breast Cancer. (2021) 7:150. doi: 10.1038/s41523-021-00346-1

PubMed Abstract | Crossref Full Text | Google Scholar

73. Network, N.C.C. Breast Cancer (version 2.2020) (2020). Available online at: https://www.nccn.org/professionals/physician_gls/pdf/breast.pdf (accessed January 1, 2021)

Google Scholar

74. Kopicky LM, Pratt DA. Cryoablation and breast disease. Curr Breast Cancer Rep. (2024) 16:279–87. doi: 10.1007/s12609-024-00561-2

Crossref Full Text | Google Scholar

75. Fine RE, Gilmore RC, Tomkovich KR, Dietz JR, Berry MP, Hernandez LE, et al. Cryoablation without excision for early-stage breast cancer: ICE3 trial 5-year follow-up on ipsilateral breast tumor recurrence. Ann Surg Oncol. (2024) 31:7273–83. doi: 10.1245/s10434-024-16181-0

PubMed Abstract | Crossref Full Text | Google Scholar

76. Dogra A, Mehta A, Doval DC. Are basal-like and non-basal-like triple-negative breast cancers really different? J Oncol. (2020) 2020:4061063. doi: 10.1155/2020/4061063

PubMed Abstract | Crossref Full Text | Google Scholar

77. Ward RC, Lourenco AP, Mainiero MB. Ultrasound-guided breast cancer cryoablation. AJR Am J Roentgenol. (2019) 213:716–22. doi: 10.2214/AJR.19.21329

PubMed Abstract | Crossref Full Text | Google Scholar

78. Kwak K, Yu B, Lewandowski RJ, Kim DH. Recent progress in cryoablation cancer therapy and nanoparticles mediated cryoablation. Theranostics. (2022) 12:2175–204. doi: 10.7150/thno.67530

PubMed Abstract | Crossref Full Text | Google Scholar

79. Cha C, Lee FT Jr, Rikkers LF, Niederhuber JE, Nguyen BT, Mahvi DM. Rationale for the combination of cryoablation with surgical resection of hepatic tumors. J Gastrointest Surg. (2001) 5:206–13. doi: 10.1016/S1091-255X(01)80034-2

PubMed Abstract | Crossref Full Text | Google Scholar

80. Bhindi B, Mason RJ, Haddad MM, Boorjian SA, Leibovich BC, Atwell TD, et al. Outcomes after cryoablation versus partial nephrectomy for sporadic renal tumors in a solitary kidney: A propensity score analysis. Eur Urol. (2018) 73:254–9. doi: 10.1016/j.eururo.2017.09.009

PubMed Abstract | Crossref Full Text | Google Scholar

81. Fossati N, Larcher A, Gadda GM, Sjoberg DD, Mistretta FA, Dell'Oglio P, et al. Minimally invasive partial nephrectomy versus laparoscopic cryoablation for patients newly diagnosed with a single small renal mass. Eur Urol Focus. (2015) 1:66–72. doi: 10.1016/j.euf.2015.02.002

PubMed Abstract | Crossref Full Text | Google Scholar

82. Pfleiderer SO, Freesmeyer MG, Marx C, Kuhne-Heid R, Schneider A, Kaiser WA. Cryotherapy of breast cancer under ultrasound guidance: initial results and limitations. Eur Radiol. (2002) 12:3009–14. doi: 10.1007/s00330-002-1511-2

PubMed Abstract | Crossref Full Text | Google Scholar

83. Glazer DI, Tatli S, Shyn PB, Vangel MG, Tuncali K, Silverman SG. Percutaneous image-guided cryoablation of hepatic tumors: single-center experience with intermediate to long-term outcomes. AJR Am J Roentgenol. (2017) 209:1381–9. doi: 10.2214/AJR.16.17582

PubMed Abstract | Crossref Full Text | Google Scholar

84. Sohn RL, Carlin AM, Steffes C, Tyburski JG, Wilson RF, Littrup PJ, et al. The extent of cryosurgery increases the complication rate after hepatic cryoablation. Am Surg. (2003) 69:317–22. doi: 10.1177/000313480306900408

PubMed Abstract | Crossref Full Text | Google Scholar

85. Pecoraro A, Palumbo C, Knipper S, Mistretta FA, Tian Z, Shariat SF, et al. Cryoablation predisposes to higher cancer specific mortality relative to partial nephrectomy in patients with nonmetastatic pT1b kidney cancer. J Urol. (2019) 202:1120–6. doi: 10.1097/JU.0000000000000460

PubMed Abstract | Crossref Full Text | Google Scholar

86. Niu L, Zhou L, Xu K. Cryosurgery of breast cancer. Gland Surg. (2012) 1:111–8. doi: 10.3978/j.issn.2227-684X.2012.08.01

PubMed Abstract | Crossref Full Text | Google Scholar

87. Sardela de Miranda F, Castro M, Remmert N, Singh SP, Layeequr Rahman R, Melkus MW. Leveraging cryoablation and checkpoint inhibitors for high-risk triple negative breast cancer. Front Immunol. (2023) 14:1258873. doi: 10.3389/fimmu.2023.1258873

PubMed Abstract | Crossref Full Text | Google Scholar

88. Edgar R, Domrachev M, Lash AE. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. (2002) 30(1):207–10.

Google Scholar

Keywords: breast cancer, cryoablation, abscopal effect, RNA-seq analysis, immune response

Citation: Sardela de Miranda F, Martinez-Marin D, Babcock RL, Castro M, Boligala GP, Khan SY, Furr KL, Castro-Piedras I, Wagner N, Robison DE, Daniele K, Singh SP, Pruitt K, Melkus MW and Layeequr Rahman R (2024) Cryoablation of primary breast cancer tumors induces a systemic abscopal effect altering TIME (Tumor Immune Microenvironment) in distant tumors. Front. Immunol. 15:1498942. doi: 10.3389/fimmu.2024.1498942

Received: 19 September 2024; Accepted: 04 November 2024;
Published: 02 December 2024.

Edited by:

Tiezheng Hou, University College London, United Kingdom

Reviewed by:

Yanding Zhao, Stanford University, United States
Zhen Wang, Zhejiang University, China
Sheng Yu, Second Hospital of Anhui Medical University, China

Copyright © 2024 Sardela de Miranda, Martinez-Marin, Babcock, Castro, Boligala, Khan, Furr, Castro-Piedras, Wagner, Robison, Daniele, Singh, Pruitt, Melkus and Layeequr Rahman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Rakhshanda Layeequr Rahman, UlJhaG1hbjJAbWV0cm9oZWFsdGgub3Jn; Michael W. Melkus, bWljaGFlbC5tZWxrdXNAdHR1aHNjLmVkdQ==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.