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ORIGINAL RESEARCH article

Front. Oncol., 09 February 2023
Sec. Gastrointestinal Cancers: Colorectal Cancer

TOMM34 serves as a candidate therapeutic target associated with immune cell infiltration in colon cancer

Zhigui LiZhigui Li1Hongzhao YangHongzhao Yang2Jianbo LiuJianbo Liu1Li LiLi Li1Xiaodong Wang*Xiaodong Wang1*
  • 1Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, China
  • 2West China School of Medicine, Sichuan University, Chengdu, China

Background: Colon cancer represents one of the most pervasive digestive malignancies worldwide. Translocase of the outer mitochondrial membrane 34 (TOMM34) is considered an oncogene and is implicated in tumor proliferation. However, the correlation between TOMM34 and immune cell infiltration in colon cancer has not been investigated.

Materials and methods: Based on multiple open online databases, we performed integrated bioinformatics analysis of TOMM34 to evaluate the prognostic value of TOMM34 and its correlation with immune cell infiltration.

Results: TOMM34 gene and protein expression levels were elevated in tumor tissues compared with normal tissues. Survival analysis revealed that upregulation of TOMM34 was significantly associated with poorer survival time in colon cancer. High TOMM34 expression was dramatically related to low levels of B cells, CD8+ T cells, neutrophils, dendritic cells, PD-1, PD-L1 and CTLA-4.

Conclusions: Our results confirmed that high expression of TOMM34 in tumor tissue correlates with immune cell infiltration and worse prognosis in colon cancer patients. TOMM34 may serve as a potential prognostic biomarker for colon cancer diagnosis and prognosis prediction.

Background

Colon cancer is one of the most pervasive digestive malignancies worldwide (1, 2). It is estimated that there were 104,610 new cases and 53,200 deaths in America in 2020. In China, the incidence and mortality of colon cancer have increased recently (2). To date, colon cancer has become a heavy public health burden worldwide. Despite improvements in precise diagnosis and combined therapy, colon cancer remains the main cause of cancer-related mortality around the world (3). Therefore, it is imperative to identify novel prognostic biomarkers and promising therapeutic targets against colon cancer.

Mitochondria are essential organelles that are indispensable to the viability of eukaryotic cells and play crucial roles in metabolism, bioenergetics and signaling. Mitochondrial dysfunction is a hallmark of cancer that leads to aberrant mitochondrial functions, such as integration of metabolism, ATP production, regulation of apoptosis and calcium homeostasis (4). Previous studies have shown that tumor cells can spoil respiration and elevate lactate production, a phenomenon referred to as impeded oxidative phosphorylation and increased aerobic glycolysis, also known as the Warburg effect (5). Owing to rapid proliferation, tumor cells exhibit a high degree of protein synthesis and the absence of essential nutrients and oxygen. To overcome these difficulties, tumor cells increase the components of the protein chaperone system, including Hsp70 and Hsp90 (6, 7). The abnormal mitochondrial metabolism of tumor cells attenuates the proliferation and function of tumor-infiltrating lymphocytes, thereby leading to immune evasion and immunosuppression (8).

The translocase of the outer mitochondrial membrane (TOM) complex plays an important role in the import of the preprotein synthesized in the cytoplasm into the mitochondria. Mitochondria are bound by double-layer membranes, including the inner membrane, intermembrane space and outer membrane (9, 10). Comprehensive genetic analysis has revealed that translocase of the outer mitochondrial membrane 34 (TOMM34) is considered an oncogene and is implicated in tumor proliferation. A previous study revealed that Hsp70 and Hsp90 play pivotal roles in mitochondrial protein folding and stabilization (11). The interactions between chaperones and cochaperones could affect chaperone activities (12). TOMM34 is a cochaperone of Hsp70 and Hsp90 in mitochondrial protein import. Previous studies have revealed that TOMM34 is implicated in mitochondrial protein processing (13, 14). Subsequently, further studies confirmed that TOMM34 interacts with Hsp70 and Hsp90 and mediates protein folding (1517).

Investigation of cancer antigens may result in the development of promising and effective anticancer drugs (18, 19). Several clinical trials have investigated the safety and immunological response of peptide vaccines derived from the tumor-associated protein TOMM34 (2022). In addition to the ovaries and testes, TOMM34 is overexpressed in tumor tissues, such as colorectal cancer, early invasive breast cancer, bladder cancer, lung cancer and hepatocellular carcinoma (13, 18, 23, 24). TOMM34 is expressed in the cytoplasm and nucleus of tumor cells. Dendritic cells are antigen-presenting cells that present tumor antigens to lymphocytes and induce cytotoxic T-lymphocytes (CTLs) in vivo. The induced CTLs have the ability to identify the tumor antigen and to show an anticancer effect on tumor cells overexpressing the tumor antigen. A recent study indicated that overexpression of TOMM34 was remarkably related to high stage, muscle invasion, high grade and shorter survival in urothelial carcinoma of the bladder (25).

These findings suggest an underlying relationship between TOMM34 and tumorigenesis as well as immunotherapy. The aim of the study was to understand the functional roles and to unearth the potential diagnostic and prognostic value of TOMM34 in colon cancer. In the present study, we analyzed the gene expression, protein expression and gene alterations of TOMM34 in colon cancer from several comprehensive databases. Moreover, we also analyzed the correlation between TOMM34 and immune cell infiltration in the tumor microenvironment.

Materials and methods

Data acquisition and processing

Gene expression profiles were downloaded from The Cancer Genome Atlas (TCGA) colon adenocarcinoma (COAD) database (https://portal.gdc.cancer.gov). Under the threshold of log2FC=1.5 and Padj=0.05, the R package “edgeR” was utilized to evaluate the differentially expressed genes (DEGs) for further analysis. Mutation profiles were obtained from the UCSC Xena project (http://xena.ucsc.edu).

UALCAN

UALCAN (http://ualcan.path.uab.edu/) is a comprehensive and interactive online tool for analyzing cancer OMICS data (26). We evaluated the relationship between TOMM34 expression and distinct clinicopathological traits (race, sex, age, weight, stage, histology, nodal metastasis status, TP53 mutation status) in the “TCGA” and “CPTAC” modules of UALCAN.

Gene expression profiling interactive analysis (GEPIA)

We utilized the GEPIA online tool (http://gepia.cancer-pku.cn/index.html ) to perform gene expression analysis. The expression of TOMM34 between tumor tissues and normal tissues was investigated with the option of matching TCGA normal and GTEx data in the “Expression DIY” module of GEPIA. Survival analysis of TOMM34 was performed in the “survival plots” module.

Analysis of the interaction of TOMM34-related genes and proteins

We employed the GeneMANIA database (http://www.genemania.org) to construct the TOMM34 interaction network. The protein−protein interaction (PPI) network of TOMM34 was constructed by using the STRING online tool (https://string-db.org, version 11.5). The main parameters were as follows: protein name (TOMM34), organism (Homo sapiens), max number of interactors to show (no more than 20 interactors), and minimum required interaction score (medium confidence 0.400).

Gene set enrichment analysis (GSEA), gene ontology (GO) and Kyoto encyclopedia of gene and genomes (KEGG) analysis

All patients were divided into low and high groups on the basis of TOMM34 expression. GSEA was employed to explore the potential mechanisms of TOMM34. Data mining from TCGA database was employed to recognize the positively (2155 genes) and negatively (363 genes) coexpressed genes. These coexpressed genes were utilized to perform GO enrichment and KEGG pathway analyses to investigate the biological functions of TOMM34 in colon cancer. GO enrichment analyses included biological processes (BPs), cellular components (CCs) and molecular functions (MFs).

cBioPortal

Genetic alteration analysis was employed by using cBioPortal (http://www.cbioportal.org/) to obtain TOMM34 gene data. We chose two colon cancer datasets with 693 patients for further analysis. We utilized the “Cancer Types Summary” module of cBioPortal to analyze the genomic alteration types and alteration frequency of TOMM34 in colon cancer.

Mutation analysis

Based on the expression of TOMM34, all patients were divided into low and high TOMM34 expression groups. The R package “maftools” was utilized to perform tumor mutation analysis. Tumor mutation burden (TMB) among the low and high TOMM34 groups was visualized through the R package “maftools”.

Tumor immune estimation resource (TIMER)

TIMER (https://cistrome.shinyapps.io/timer/) is a comprehensive web portal for systematic analysis of immune cell infiltration in a variety of malignancies. We assessed TOMM34 expression in a variety of malignancies through the module “Diff Exp” of TIMER. By using the TCGA-COAD dataset, the relationship between TOMM34 and immune cell infiltration levels (dendritic cells, CD4+ T cells, CD8+ T cells, B cells, neutrophils and macrophages) was evaluated in the “gene” module. The correlation of TOMM34 expression and distinct immune checkpoints (PD-1, PD-L1 and CTLA-4) was analyzed in the “correlation” module of TIMER.

Single gene set enrichment analysis (ssGSEA)

We performed ssGSEA to evaluate the content of 27 immune cell types in the tumor microenvironment based on the validated gene signature matrix (Supplementary Table S1). The correlations between TOMM34 expression and the immune cell subpopulation were evaluated in colon cancer.

Tissue microarray and immunohistochemistry

Immunohistochemistry was used for semiquantitative analysis of TOMM34 expression. All tumor samples obtained from the West China Hospital Biobank of Sichuan University were made into donor paraffin blocks. We first evaluated paraffin sections by hematoxylin and eosin staining and marked representative tissue regions in donor paraffin blocks. Then, using a specialized manual tissue arranger, cylinders with a diameter of 1.5 mm were selected from these marked areas and placed into empty paraffin blocks. Immunohistochemistry of tissue microarrays was performed as follows: 4-mm-thick paraffin sections were deparaffinized in xylene, rehydrated, and washed three times in phosphate buffered saline (PBS) for 10 min each. Antigen retrieval was performed in an autoclave for 3 min, and endogenous peroxidase activity was inhibited using a 3% hydrogen peroxide solution, followed by incubation of sections with primary antibodies overnight at 4°C. Subsequently, sections were rinsed thoroughly with PBS and incubated with secondary antibodies. PBS was removed, 3,3’-diaminobenzidine tetrahydrochloride was added dropwise for color development, and the immunohistochemical reaction was observed. Finally, the samples were counterstained with hematoxylin, washed with water, dehydrated with graded alcohol, cleared with xylene, and sealed with neutral gum.

Morphometric assay

An image analysis system (Olympus upright microscope-BX53, Japan) was utilized. Immunohistochemical staining was observed at 20x magnification, and then the expression of TOMM34 was evaluated and counted. We finally screened 206 samples from 155 patients in this study.

Liquid chromatography−mass spectrometry/mass spectrometry (LC−MS/MS) analysis

LC−MS/MS was used for quantitative analysis of TOMM34 expression. All samples were collected at West China Hospital with the approval of the research ethics committee. LC−MS/MS analysis was performed with a TMT-based isobaric labeling strategy. Sample processing included protein extraction and digestion, isobaric labeling of TMT 10plex reagents (Thermo Scientific), peptide fractionation by high-performance liquid chromatography (HPLC), and desalting and loading of the sample onto a trap column and an analytical column for LC−MS/MS analysis. LC−MS/MS analysis was performed by an EASY-nLC 1000 nanoflow LC instrument coupled to a Q Exactive Plus Quadrupole-Orbitrap mass spectrometer (Thermo Fisher Scientific).

Statistical analysis

With hazard ratios (HRs) and Cox P values from a log-rank test, the results of Kaplan−Meier plots are shown. Spearman’s correlation analysis was employed to investigate the correlations between TOMM34 and immune cell types. A two-sided P value<0.05 was considered statistically significant.

Results

TOMM34 expression analysis

In the present study, we identified 1877 DEGs (1070 upregulated and 807 downregulated) from the TCGA-COAD dataset (Figure 1A). Apart from glioblastoma multiforme, kidney chromophobe and kidney renal clear cell carcinoma, analysis using the TIMER database revealed that TOMM34 expression was elevated in 13 TCGA tumors compared with normal tissues, including bladder urothelial carcinoma, breast invasive carcinoma, cholangiocarcinoma, colon cancer, esophageal carcinoma, head and neck squamous cell carcinoma, liver hepatocellular carcinoma, lung adenocarcinoma, lung squamous cell carcinoma, rectum adenocarcinoma, stomach adenocarcinoma, thyroid carcinoma and uterine corpus endometrial carcinoma (Figure 1B). In particular, overexpression of TOMM34 was observed in colon cancer compared with normal tissues (Figures 1C-E), suggesting that TOMM34 may play a crucial role in the pathogenesis of colon cancer.

FIGURE 1
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Figure 1 TOMM34 expression analysis in colon cancer. (A) Volcano plot showing gene expression. (B) TOMM34 expression in divergent types of cancer, indicating that TOMM34 is highly expressed in a variety of cancers. (C) TOMM34 expression was elevated in tumor tissues compared with normal tissues obtained from the TCGA-COAD dataset, suggesting that the expression of TOMM34 was increased in tumor tissue. (D) TOMM34 expression in tumor tissues and paired normal tissues obtained from the TCGA-COAD dataset, suggesting that the expression of TOMM34 was increased in tumor tissue. (E) TOMM34 expression in tumor tissues and normal tissues obtained from the GEPIA database, suggesting high expression of TOMM34 in tumor tissue. *p<0.05.

Correlations between TOMM34 expression and clinical traits in colon cancer patients

By using the UALCAN online tool, we investigated the correlations between TOMM34 expression and clinical traits of colon cancer in the TCGA and CPTAC modules. The results demonstrated that the gene expression of TOMM34 was dramatically associated with histological subtype and TP53 mutation status (Figures 2A, B). Analysis of promoter methylation showed that there were apparent differences in TP53 mutation, sample types, and histological subtypes (Figures 2C-E). Using the CPTAC module of UALCAN, analysis of proteomic expression revealed that proteomic expression of TOMM34 was upregulated in tumor tissues compared with normal tissues (Figure 2F). As shown in Figures 2G, H, further analysis of proteomic expression revealed that there were significant differences in age (no than 40 years old versus older) and clinical stage (stage II versus stage IV). Survival analysis indicated that upregulation of TOMM34 was remarkably related to poor prognosis in overall survival based on the TCGA-COAD cohort (Figure 2I).

FIGURE 2
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Figure 2 Correlation between TOMM34 expression and clinicopathological traits obtained from TCGA and CPTAC samples. (A) Histological subtypes from TCGA samples, indicating that TOMM34 expression was associated with histological subtype. (B) TP53 mutation status from TCGA samples, indicating that TOMM34 expression was associated with TP53 mutation status. (C) Promoter methylation level in distinct TP53 mutation statuses from TCGA samples, suggesting that TOMM34 expression was associated with TP53 mutation status. (D) Promoter methylation level in distinct sample types from TCGA samples, suggesting that TOMM34 expression was associated with sample type. (E) Promoter methylation levels in distinct histological subtypes from TCGA samples, suggesting that TOMM34 expression was associated with histological subtype. (F) Protein expression of TOMM34 in distinct sample types, revealing that proteomic expression of TOMM34 was upregulated in tumor tissues compared with normal tissues. (G) Protein expression of TOMM34 at different ages. (H) Protein expression of TOMM34 in distinct clinical stages. (I) Survival analysis of TOMM34 in overall survival, indicating that upregulation of TOMM34 was remarkably related to poor prognosis in overall survival. ***p<0.001, **0.001≤p<0.01, *0.01≤p<0.05.

Identification of TOMM34 interaction genes and proteins and functional analysis

By using the GeneMANIA database, a gene−gene interaction network was constructed to show the interaction between TOMM34 and related genes (Figure 3A). The results indicated that the TOMM34 gene was closely related to the 20 most related genes, including TIM16, ATP6V1D, HSP90AA1 and DNAJC7. Additionally, we used the STRING database to construct the protein−protein interaction network to evaluate the relationship between TOMM34 and related proteins (Figure 3B). There were 21 nodes and 48 edges, including HSP90AA1, HSPA4 and DNAJC7. GO enrichment and KEGG pathway analyses were performed to evaluate the biological functions related to TOMM34. As shown in Figure 3C, TOMM34 was dramatically related to ncRNA metabolic processes, ribonucleoprotein complex biogenesis, ncRNA processing, ribosome biogenesis, and rRNA metabolic processing in terms of GO-BP. In terms of GO-CC, TOMM34 was enriched in the mitochondrial matrix, nuclear envelope, transferase complex, transferring phosphorus-containing groups, spliceosomal complex and unclear periphery. GO-MF enrichment analysis revealed that TOMM34 was significantly associated with catalytic activity on RNA, transferase activity, transferring one-carbon groups, helicase activity, ribonucleoprotein complex binding, and catalytic activity on tRNA. In addition, KEGG pathway analysis indicated that TOMM34 was enriched in nucleocytoplasmic transport, spliceosome, ribosome biogenesis in eukaryotes, cell cycle, and ubiquitin-mediated proteolysis (Figure 3D).

FIGURE 3
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Figure 3 Interaction analysis of TOMM34-related genes and proteins and functional analyses. (A) Interaction analysis of related genes. (B) Interaction analysis of related proteins. (C) GO enrichment analysis. (D) KEGG pathway analysis. (E) GSEA based on KEGG analysis. (F) Genomic alteration type of TOMM34, revealing that the genomic alteration type of TOMM34 was amplification.

Moreover, we conducted multi-GSEA to further investigate the molecular mechanisms of TOMM34 in colon cancer. Among the KEGG terms, GSEA revealed that the top five signaling pathways were enriched in the cell cycle, oocyte meiosis, purine metabolism, spliceosome and ubiquitin-mediated proteolysis (Figure 3E). These findings strongly suggest that TOMM34 is implicated in the regulation of proliferation in colon cancer.

Correlation between TOMM34 and gene mutation and microsatellite instability (MSI)

First, we found that the genomic alteration type of TOMM34 was amplification (Figure 3F). Between the high and low TOMM34 groups, we compared somatic tumor mutation profiles to investigate the relationship between TOMM34 and TMB. The top 20 mutated genes were chosen to compare the differences in mutation frequency. APC and TP53 were frequently mutated in the high TOMM34 group (Figure 4A). However, the remaining 18 genes, including TTN, KARAS and PIK3CA, were frequently mutated in the low TOMM34 group (Figure 4B). We also evaluated the relationship between TOMM34 and MSI and TMB (Figures 4C-E). The results revealed that TOMM34 was negatively associated with TMB and high MSI. Survival analysis of TOMM34 combined with TMB showed that patients with high TMB and high TOMM34 presented a shorter survival prognosis than those with low TMB and low TOMM34 (Figure 4F).

FIGURE 4
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Figure 4 Somatic mutation analysis characteristics. (A) Distribution of the top 20 mutated genes in the high TOMM34 group. (B) Distribution of the top 20 mutated genes in the low TOMM34 group. (C) Correlation between TOMM34 and microsatellite instability (MSI), indicating that TOMM34 was negatively associated with high MSI. (D) Correlation between TOMM34 and tumor mutation burden (TMB), indicating that TOMM34 was negatively associated with TMB. (E) Boxplot showing the tumor mutation burden in the low and high TOMM34 groups. (F) Survival analysis of TOMM34 combined with tumor mutation burden, showing that patients with high TMB and high TOMM34 presented worse prognosis. MSI, microsatellite instability; MSS, microsatellite stability; MSI-L, low microsatellite instability; MSI-H. high microsatellite instability; H-TMB, high tumor mutation burden; L-TMB, low tumor mutation burden; H-TOMM34, high expression of TOMM34; L-TOMM34, low expression of TOMM34.

Correlation analysis between TOMM34 and immune cell infiltration in the tumor microenvironment

The TIMER online tool was utilized to perform correlation analysis between TOMM34 expression and infiltration of six types of immune cells in colon cancer, including B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells. Our results demonstrated that there were significantly negative relationships between TOMM34 expression and the infiltration of B cells, CD8+ T cells, neutrophils and dendritic cells. TOMM34 expression was positively associated with the infiltration of CD4+ T cells and was not correlated with macrophages in colon cancer (Figure 5A). Additionally, we evaluated the correlation between TOMM34 expression and immune checkpoints, such as PD-1, PD-L1 and CTLA-4. On the basis of the GEPIA database, TOMM34 was negatively associated with PD-1, PD-L1 and CTLA-4 (Figures 5B-D).

FIGURE 5
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Figure 5 Correlation between TOMM34 expression and immune cell infiltration level. (A) The correlation between TOMM34 expression and distinct immune cell infiltration by using the TIMER database, revealing that TOMM34 expression was positively associated with the infiltration of CD4+ T cells and was not correlated with macrophages in colon cancer. (B) Correlations between TOMM34 expression and PD-1, indicating that TOMM34 was negatively associated with PD-1. (C) Correlations between TOMM34 expression and PD-L1, indicating that TOMM34 was negatively associated with PD-L1. (D) Correlations between TOMM34 expression and CTLA-4, indicating that TOMM34 was negatively associated with CTLA-4.

Moreover, ssGSEA was performed to further evaluate the correlation between TOMM34 expression and immune cell infiltration in the tumor microenvironment (TME). Except for CD56 bright natural killer cells, the remaining 26 types of immune cells were elevated in the low TOMM34 group compared with the high TOMM34 group (Figure 6A).

FIGURE 6
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Figure 6 Correlation between TOMM34 expression and immune cell infiltration level. (A) Immune cell infiltration levels in distinct TOMM34 groups, showing that 26 types of immune cells except CD56 bright natural killer cells were elevated in the low TOMM34 group compared with the high TOMM34 group. (B-E) Violin plot of IPS among ips_ctla4_neg_pd1_neg (CTLA-4 negative response and PD-1 negative response), ips_ctla4_neg_pd1_pos (CTLA-4 negative response and PD-1 positive response), ips_ctla4_pos_pd1_neg and ips_ctla4_pos_pd1_pos in the respective TOMM34 groups, showing that patients in the low TOMM34 group displayed significant clinical advantages for anti-PD-1 immunotherapy. ***p<0.001, **0.001≤p<0.01, *0.01≤p<0.05, ns, p>0.05.

Additionally, we employed the TIMER database to evaluate the relationship between TOMM34 expression and distinct immune signatures in colon cancer for a comprehensive understanding of TOMM34 crosstalk with the immune response. Based on a validated gene list (27), immune cells were identified (Table 1). After adjusting for tumor purity, TOMM34 was remarkably related to most immune signatures in a variety of immune cells in colon cancer. We also investigated the correlation between various functional T cells and TOMM34 expression. As shown in Table 2, we found that TOMM34 was dramatically related to 29 of 38 T-cell markers in colon cancer and associated with 18 of 38 T-cell markers in colon cancer after adjusting for tumor purity.

TABLE 1
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Table 1 Correlation analysis between TOMM34 and gene markers of immune cells in TIMER.

TABLE 2
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Table 2 Correlation analysis between TOMM34 and gene markers of distinct types of T cells in TIMER.

To evaluate the role of TOMM34 in predicting immunotherapeutic benefits, we utilized The Cancer Immunome Atlas (ICIA) to assess the immune response. We further predicted the value of the risk score for immune checkpoint blockade (ICB). The IPS results of TCGA-PRAD were downloaded from the TCIA website. PD-1 and CTLA-4 were included in immunophenoscore (IPS) analysis, and classified into four parts: ips_ctla4_neg_pd1_neg (CTLA-4 negative response and PD-1 negative response), ips_ctla4_neg_pd1_pos (CTLA-4 negative response and PD-1 positive response), ips_ctla4_pos_pd1_neg and ips_ctla4_pos_pd1_pos. In the two parts of the positive response of PD-1, the average IPS in the low TOMM34 group was significantly higher than that in the high TOMM34 group, showing that patients in the low TOMM34 group displayed significant clinical advantages for anti-PD-1 immunotherapy (Figures 6B-E). Similar to the abovementioned results, these results indirectly confirmed that TOMM34 has a pivotal effect on mediating the immune response in colon cancer.

Immunohistochemical analysis of tumor tissue and normal tissue in 206 samples

We performed immunohistochemical analysis on 206 samples obtained from screening, of which 142 were tumor tissues and 64 were normal tissues (Figures 7A, B).

FIGURE 7
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Figure 7 Immunohistochemical analysis of 206 samples and mass spectrometry analysis of tumor tissue and normal tissue in 35 patients. (A) The judgment standard for immunohistochemistry of TOMM34, in which cells stained in dark brown are defined as high expression, and unstained or light yellow are defined as low expression. (B) Qualitative analysis of the expression levels of TOMM34 in normal and tumor tissues by immunohistochemistry indicated that the expression levels of TOMM34 in tumor tissues were significantly higher than those in normal tissues. (C) Quantitative analysis of the expression of TOMM34 in tumor tissues and adjacent normal tissues of 35 colon cancer patients by mass spectrometry, showing that the expression of TOMM34 in tumor tissue was significantly higher than that in adjacent normal tissue. (D) The ratio tumor/normal (T/N) of patients under 60 years old and patients over 60 years old. ****p<0.0001.

Among all samples, 142 cases had high expression of TOMM34, while 64 cases had low expression. Among the 142 tumor tissue samples, 108 (76.06%) had high expression of TOMM34, and 34 (23.94%) had low expression. Among the 64 normal tissue samples, 34 (53.13%) had high expression of TOMM34, and 30 (46.87%) had low expression. Statistical analysis (chi-square test) showed that the difference in TOMM34 expression between tumor tissue and normal tissue was statistically significant (χ²=10.832, P=0.001).

LC−MS/MS analysis of tumor tissue and normal tissue in 35 patients

We qualitatively analyzed the expression of TOMM34 in tumor tissues and adjacent normal tissues of 35 colon cancer patients by LC−MS/MS analysis (Figures 7C, D).

LC−MS/MS data showed that the expression of TOMM34 was significantly different in tumor tissue and adjacent normal tissue [false discovery rate (FDR) < 0.05, median ratio tumor/normal (T/N) = 2.106)], indicating that TOMM34 expression was upregulated in tumor tissues. The T test showed that the T/N ratio of patients under 60 years old was significantly lower than that of patients over 60 years old (P=0.0021). However, the T/N ratio was not significantly different among patients with different sexes, different stages, and different lesion locations.

Discussion

Colon cancer represents the fourth most common lethal malignancy globally (28) and has both strong genetic risk factors and environmental relevance. An accumulation of genetic alterations allows the transformation of the normal colonic epithelium to a precancerous lesion and ultimately to invasive carcinoma (29). Despite advances in early screening and combined therapies, the prognosis of colon cancer patients remains unsatisfactory because of tumor recurrence and metastasis. It has been reported that the long-term survival rate is only approximately 50% (30). Thus, it is urgent to comprehensively explore the underlying mechanisms of colon cancer progression. Accumulating evidence has confirmed that increased activity of the chaperones Hsp70 and Hsp90 is a hallmark of solid tumors. TOMM34 is a cochaperone of both Hsp70 and Hsp90, which has been found to contribute to tumorigenesis and progression of hepatocellular carcinoma, colorectal cancer and breast cancer. However, the underlying function of TOMM34 in colon cancer remains to be illustrated.

In the present study, we found that TOMM34 expression was elevated in colon cancer tissues compared with normal tissues by means of integrated bioinformatics analysis. These results were validated at the gene and protein levels using the UALCAN database. Consistent with previous studies (24, 25, 31), these results confirmed that upregulation of TOMM34 expression was significantly associated with unfavorable prognosis in colon cancer and indicated that TOMM34 may serve as an oncogene by facilitating tumor progression and immunosuppression. The overexpression of TOMM34 may be a crucial factor in the occurrence and progression of colon cancer because previous studies have also shown that TOMM34 plays an important role in tumor cell growth (18). Subsequently, we analyzed the correlation between TOMM34 expression and immune cell infiltration using the TIMER database. High TOMM34 was negatively related to divergent types of immune cells, including B cells, CD8+ T cells, neutrophils and dendritic cells, and negatively associated with PD-1, PD-L1 and CTLA-4. Furthermore, survival analysis showed that colon cancer patients with high TOMM34 expression exhibited a significantly poorer prognosis. By using the cBioPortal database, we found that 6.7% of colon cancer patients have gene alterations in TOMM34, of which gene amplification is the most common alteration. Our findings substantiated that TOMM34 is a potential prognostic biomarker and promising therapeutic target against colon cancer.

To our knowledge, the correlation between TOMM34 and immune cell infiltration in colon cancer has not been evaluated. We utilized GO enrichment and KEGG pathway analyses to investigate the correlation between immune cell infiltration and TOMM34 in colon cancer. Our results revealed that TOMM34 is implicated in numerous pathways, especially the immune system, in colon cancer. These findings confirmed that high TOMM34 expression is negatively associated with the increased infiltration of B cells, CD8+ T cells, neutrophils and dendritic cells in colon cancer. However, high TOMM34 expression was positively associated with increased CD4+ T cell infiltration. This mechanism has not been elucidated, but previous studies have shown that the expression of TOMM34 is upregulated when CD4+ T cells are activated, while its expression is not significantly upregulated when CD8+ T cells are activated (32). Additionally, the relationships between TOMM34 and distinct immune cell signatures have been found to be significant. Overexpression of TOMM34 was also negatively related to the expression of PD-1, PD-L1 and CTLA-4. More notably, correlations between the levels of immune cell infiltration of tumors in colon cancer and prognosis have been investigated in previous studies, which have shown that the degree of infiltration of various immune cells, including CD8+ T cells, is significantly associated with better prognosis, while the degree of infiltration of some CD4+ T cells (such as Th17 cells) is associated with poorer prognosis (33, 34). Therefore, TOMM34 was remarkably associated with shorter survival in colon cancer partially via immune cell infiltration. The present study indicated that TOMM34 could serve as a potential immunotherapeutic target against colon cancer, especially in patients with advanced-stage disease or metastasis. Nevertheless, the underlying roles of TOMM34 in the tumor microenvironment still need to be further investigated.

In 1908, Paul Ehrlich proposed that the immune system has the capacity to suppress tumorigenesis and thus plays an important role in protection against tumor progression (35, 36). Recently, immunotherapy has become one of the most prominent weapons against cancer, especially for patients with advanced stages or metastatic disease. The major obstacle to immunotherapeutic vaccination strategies is the identification of tumor-associated antigens (TAAs). Recent advances in checkpoint blockade inhibitors have promoted the development of cancer immunotherapy (37). The major issue with immunotherapy is specificity, as only a large number of patients experience a durable clinical benefit (37, 38). The relationship between TOMM34 and immune checkpoints has not been elucidated. Previous studies have shown that the upregulation of TOMM34 and several other genes may regulate the interferon signaling pathway by affecting mitochondrial activity (32), and the interferon signaling pathway has been proven to be associated with resistance to immune checkpoint blockade (39). A clinical trial of the peptide vaccines RNF43 and TOMM34 combined with chemotherapy for stage III colorectal cancer revealed that patients with a positive CTL response showed good 3-year relapse-free survival regardless of HLA-A*2402 status (22). This evidence confirmed that TOMM34 is associated with immune cell infiltration in colon cancer.

Although the present study facilitates our comprehensive understanding of the correlation between TOMM34 and colon cancer, there are some limitations that should be noted. First, we explored the relationship between TOMM34 and immune cell infiltration at the gene level, which has not been experimentally validated, especially at the protein level. Additionally, we only investigated the relationship in colon cancer, and that in other types of cancer needs to be further evaluated. Moreover, the molecular mechanisms of TOMM34 in immune cell infiltration, escape, tumorigenesis and progression were not investigated in the present study.

Overall, our findings revealed that TOMM34 is a candidate prognostic biomarker and promising immunotherapeutic target against colon cancer. Moreover, the present study investigated the underlying evidence that TOMM34 regulates immune cell infiltration in colon cancer. Therefore, our study will provide insights into not only the correlation between TOMM34 and colon cancer but also the mechanism of immunotherapy.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author contributions

ZL, LL and XW contributed to the design of this work. ZL, HY and JL downloaded these data from the online database and analyzed the data. ZL and HY wrote this manuscript. XW and LL supervised and revised this manuscript. All authors contributed to the article and approved the submitted version.

Funding

Supported by Key project of Sichuan Science and Technology Department (2022YFS0337)

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/fonc.2023.947364/full#supplementary-material

References

1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin (2020) 70(1):7–30. doi: 10.3322/caac.21590

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Feng RM, Zong YN, Cao SM, Xu RH. Current cancer situation in China: good or bad news from the 2018 global cancer statistics? Cancer Commun (Lond) (2019) 39(1):22. doi: 10.1186/s40880-019-0368-6

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global patterns and trends in colorectal cancer incidence and mortality. Gut (2017) 66(4):683–91. doi: 10.1136/gutjnl-2015-310912

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Srinivasan S, Guha M, Kashina A, Avadhani NG. Mitochondrial dysfunction and mitochondrial dynamics-the cancer connection. Biochim Biophys Acta Bioenerg (2017) 1858(8):602–14. doi: 10.1016/j.bbabio.2017.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Warburg O. On the origin of cancer cells. Science (1956) 123(3191):309–14. doi: 10.1126/science.123.3191.309

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Calderwood SK, Gong J. Heat shock proteins promote cancer: It's a protection racket. Trends Biochem Sci (2016) 41(4):311–23. doi: 10.1016/j.tibs.2016.01.003

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Miyata Y, Nakamoto H, Neckers L. The therapeutic target Hsp90 and cancer hallmarks. Curr Pharm Des (2013) 19(3):347–65. doi: 10.2174/138161213804143725

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Klein K, He K, Younes AI, Barsoumian HB, Chen D, Ozgen T, et al. Role of mitochondria in cancer immune evasion and potential therapeutic approaches. Front Immunol (2020) 11:573326. doi: 10.3389/fimmu.2020.573326

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Bohnert M, Pfanner N, van der Laan M. Mitochondrial machineries for insertion of membrane proteins. Curr Opin Struct Biol (2015) 33:92–102. doi: 10.1016/j.sbi.2015.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Hu Y, Zou W, Wang Z, Zhang Y, Hu Y, Qian J, et al. Translocase of the outer mitochondrial membrane 40 is required for mitochondrial biogenesis and embryo development in arabidopsis. Front Plant Sci (2019) 10:389. doi: 10.3389/fpls.2019.00389

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Young JC, Hoogenraad NJ, Hartl FU. Molecular chaperones Hsp90 and Hsp70 deliver preproteins to the mitochondrial import receptor Tom70. Cell (2003) 112(1):41–50. doi: 10.1016/S0092-8674(02)01250-3

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Muller P, Ruckova E, Halada P, Coates PJ, Hrstka R, Lane DP, et al. C-terminal phosphorylation of Hsp70 and Hsp90 regulates alternate binding to co-chaperones CHIP and HOP to determine cellular protein folding/degradation balances. Oncogene (2013) 32(25):3101–10. doi: 10.1038/onc.2012.314

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Chewawiwat N, Yano M, Terada K, Hoogenraad NJ, Mori M. Characterization of the novel mitochondrial protein import component, Tom34, in mammalian cells. J Biochem (1999) 125(4):721–7. doi: 10.1093/oxfordjournals.jbchem.a022342

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Nuttall SD, Hanson BJ, Mori M, Hoogenraad NJ. hTom34: a novel translocase for the import of proteins into human mitochondria. DNA Cell Biol (1997) 16(9):1067–74. doi: 10.1089/dna.1997.16.1067

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Faou P, Hoogenraad NJ. Tom34: a cytosolic cochaperone of the Hsp90/Hsp70 protein complex involved in mitochondrial protein import. Biochim Biophys Acta (2012) 1823(2):348–57. doi: 10.1016/j.bbamcr.2011.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Trcka F, Durech M, Vankova P, Chmelik J, Martinkova V, Hausner J, et al. Human stress-inducible Hsp70 has a high propensity to form ATP-dependent antiparallel dimers that are differentially regulated by cochaperone binding. Mol Cell Proteomics (2019) 18(2):320–37. doi: 10.1074/mcp.RA118.001044

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Durech M, Trcka F, Man P, Blackburn EA, Hernychova L, Dvorakova P, et al. Novel entropically driven conformation-specific interactions with Tomm34 protein modulate Hsp70 protein folding and ATPase activities. Mol Cell Proteomics (2016) 15(5):1710–27. doi: 10.1074/mcp.M116.058131

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Shimokawa T, Matsushima S, Tsunoda T, Tahara H, Nakamura Y, Furukawa Y. Identification of TOMM34, which shows elevated expression in the majority of human colon cancers, as a novel drug target. Int J Oncol (2006) 29(2):381–6. doi: 10.3892/ijo.29.2.381

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Matsushita N, Yamamoto S, Inoue Y, Aruga A, Yamamoto M. RT-qPCR analysis of the tumor antigens TOMM34 and RNF43 in samples extracted from paraffin-embedded specimens of colorectal cancer. Oncol Lett (2017) 14(2):2281–7. doi: 10.3892/ol.2017.6412

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Hazama S, Nakamura Y, Takenouchi H, Suzuki N, Tsunedomi R, Inoue Y, et al. A phase I study of combination vaccine treatment of five therapeutic epitope-peptides for metastatic colorectal cancer; safety, immunological response, and clinical outcome. J Transl Med (2014) 12:63. doi: 10.1186/1479-5876-12-63

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Matsushita N, Aruga A, Inoue Y, Kotera Y, Takeda K, Yamamoto M. Phase I clinical trial of a peptide vaccine combined with tegafur-uracil plus leucovorin for treatment of advanced or recurrent colorectal cancer. Oncol Rep (2013) 29(3):951–9. doi: 10.3892/or.2013.2231

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Kawamura J, Sugiura F, Sukegawa Y, Yoshioka Y, Hida JI, Hazama S, et al. Cytotoxic T lymphocyte response to peptide vaccination predicts survival in stage III colorectal cancer. Cancer Sci (2018) 109(5):1545–51. doi: 10.1111/cas.13547

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Terada K, Ueno S, Yomogida K, Imai T, Kiyonari H, Takeda N, et al. Expression of Tom34 splicing isoforms in mouse testis and knockout of Tom34 in mice. J Biochem (2003) 133(5):625–31. doi: 10.1093/jb/mvg080

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Aleskandarany MA, Negm OH, Rakha EA, Ahmed MA, Nolan CC, Ball GR, et al. TOMM34 expression in early invasive breast cancer: a biomarker associated with poor outcome. Breast Cancer Res Treat (2012) 136(2):419–27. doi: 10.1007/s10549-012-2249-4

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Ahmed MAH, Ali MH, Abbas HH, Elatrash GA, Foda AAM. Expression of TOMM34 and its clinicopathological correlations in urothelial carcinoma of the bladder. Pathol Oncol Res (2020) 26(1):411–8. doi: 10.1007/s12253-018-0524-3

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Chandrashekar DS, Bashel B, Balasubramanya SAH, Creighton CJ, Ponce-Rodriguez I, Chakravarthi B, et al. UALCAN: A portal for facilitating tumor subgroup gene expression and survival analyses. Neoplasia (2017) 19(8):649–58. doi: 10.1016/j.neo.2017.05.002

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Fan Y, Liu B, Chen F, Song Z, Han B, Meng Y, et al. Hepcidin upregulation in lung cancer: A potential therapeutic target associated with immune infiltration. Front Immunol (2021) 12:612144. doi: 10.3389/fimmu.2021.612144

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Pineros M, et al. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. Int J Cancer (2019) 144(8):1941–53. doi: 10.1002/ijc.31937

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Recio-Boiles A, Cagir B. Colon cancer. Treasure Island (FL: StatPearls (2021).

Google Scholar

30. Nagata H, Ishihara S, Hata K, Murono K, Kaneko M, Yasuda K, et al. Survival and prognostic factors for metachronous peritoneal metastasis in patients with colon cancer. Ann Surg Oncol (2017) 24(5):1269–80. doi: 10.1245/s10434-016-5732-z

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Muller P, Coates PJ, Nenutil R, Trcka F, Hrstka R, Chovanec J, et al. Tomm34 is commonly expressed in epithelial ovarian cancer and associates with tumour type and high FIGO stage. J Ovarian Res (2019) 12(1):30. doi: 10.1186/s13048-019-0498-0

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Gerner MC, Niederstaetter L, Ziegler L, Bileck A, Slany A, Janker L, et al. Proteome analysis reveals distinct mitochondrial functions linked to interferon response patterns in activated CD4+ and CD8+ T cells. Front Pharmacol (2019) 10:727. doi: 10.3389/fphar.2019.00727

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Fridman WH, Pagès F, Sautès-Fridman C, Galon J. The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer (2012) 12(4):298–306. doi: 10.1038/nrc3245

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Tosolini M, Kirilovsky A, Mlecnik B, Fredriksen T, Mauger S, Bindea G, et al. Clinical impact of different classes of infiltrating T cytotoxic and helper cells (Th1, th2, treg, th17) in patients with colorectal cancer. Cancer Res (2011) 71(4):1263–71. doi: 10.1158/0008-5472.CAN-10-2907

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Locy H, de Mey S, de Mey W, De Ridder M, Thielemans K, Maenhout SK. Immunomodulation of the tumor microenvironment: Turn foe into friend. Front Immunol (2018) 9:2909. doi: 10.3389/fimmu.2018.02909

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Ehrlich P. About the current state of carcinoma research. Ned Tijdschr Geneeskd (1909) 5:273–90.

Google Scholar

37. Pulendran B, Davis MM. The science and medicine of human immunology. Science (2020) 369(6511):eaay4014. doi: 10.1126/science.aay4014

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Sharma P, Allison JP. The future of immune checkpoint therapy. Science (2015) 348(6230):56–61. doi: 10.1126/science.aaa8172

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Benci JL, Xu B, Qiu Y, Wu TJ, Dada H, Twyman-Saint Victor C, et al. Tumor interferon signaling regulates a multigenic resistance program to immune checkpoint blockade. Cell (2016) 167(6):1540–54.e12. doi: 10.1016/j.cell.2016.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Tomm34, colon cancer, prognostic biomarker, immune infiltration, immunotherapy

Citation: Li Z, Yang H, Liu J, Li L and Wang X (2023) TOMM34 serves as a candidate therapeutic target associated with immune cell infiltration in colon cancer. Front. Oncol. 13:947364. doi: 10.3389/fonc.2023.947364

Received: 18 May 2022; Accepted: 27 January 2023;
Published: 09 February 2023.

Edited by:

Yongwen Luo, Zhongnan Hospital, Wuhan University, China

Reviewed by:

Ephraim Ansa-Addo, The Ohio State University, United States
Fang Cheng, School of Pharmaceutical Sciences, Sun Yat-sen University, China

Copyright © 2023 Li, Yang, Liu, Li and Wang. 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: Xiaodong Wang, lockwan@163.com

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