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ORIGINAL RESEARCH article

Front. Oncol., 01 November 2021
Sec. Gastrointestinal Cancers: Colorectal Cancer
This article is part of the Research Topic Epigenetic Dysregulation in GI Cancers View all 8 articles

Restoring HOXD10 Exhibits Therapeutic Potential for Ameliorating Malignant Progression and 5-Fluorouracil Resistance in Colorectal Cancer

Weijie Pan&#x;Weijie Pan1†Kaijing Wang&#x;Kaijing Wang2†Jiayong Li&#x;Jiayong Li3†Hanhua LiHanhua Li1Yuchan CaiYuchan Cai1Min ZhangMin Zhang1Aili Wang,Aili Wang4,5Yazhou Wu*Yazhou Wu1*Wei Gao*Wei Gao6*Wenhao Weng*Wenhao Weng1*
  • 1Department of Clinical Laboratory, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
  • 2Department of Hepatological Surgery, General Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
  • 3Clinical Laboratory Medicine Center, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China
  • 4Center for Clinical Research and Translational Medicine, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
  • 5Institute of Gastrointestinal Surgery and Translational Medicine, Tongji University School of Medicine, Shanghai, China
  • 6Department of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China

Emerging evidence suggests that hypermethylation of HOXD10 plays an important role in human cancers. However, the biological and clinical impacts of HOXD10 overmethylation and its downstream targets in colorectal cancer remain unknown. We evaluated the methylation level of HOXD10 in paired cancer and normal tissues (n = 42) by using pyrosequencing, followed by validation of the methylation status of HOXD10 from The Cancer Genome Atlas (TCGA) datasets with 302 cancer tissues and 38 normal tissues. The biological function of HOXD10 was characterized in cell lines. We further evaluated the effects of HOXD10 and its targets on chemoresistance in our established resistant cell lines and clinical cohort (n = 66). HOXD10 was found frequently methylated in colorectal cancer, and its hypermethylation correlates with its low expression level, advanced disease, and lymph node metastasis. Functionally, HOXD10 acts as a tumor suppressor gene, in which HOXD10-expressing cells showed suppressed cell proliferation, colony formation ability, and migration and invasion capacity. Mechanistically, DNMT1, DNMT3B, and MeCP2 were recruited in the HOXD10 promoter, and demethylation by 5-Aza-2′-deoxycytidine (5-Aza-CdR) treatment or MeCP2 knockdown can sufficiently induce HOXD10 expression. HOXD10 regulates the expressions of miR-7 and IGFBP3 in a promoter-dependent manner. Restoration of the expression of HOXD10 in 5-fluorouracil (5-FU)-resistant cells significantly upregulates the expressions of miR-7 and IGFBP3 and enhances chemosensitivity to 5-FU. In conclusion, we provide novel evidence that HOXD10 is frequently methylated, silenced, and contributes to the development of colorectal cancers. Restoration of HOXD10 activates the expressions of miR-7 and IGFBP3 and results in an inhibited phenotype biologically, suggesting its potential therapeutic relevance in colorectal cancer (CRC).

Introduction

Colorectal cancer (CRC) is the third most common malignant disease worldwide (1, 2). Despite the increasing health burden of CRC, very few breakthroughs have been reported in its treatment. Systemic chemotherapy still remains the mainstay treatment besides surgery and local radiotherapy. 5-Fluorouracil (5-FU)-based chemotherapy, such as FOLFOX and FOLFORI2, is the first-line treatment widely used in advanced CRC (3). However, the prognosis of patients with CRC is often less optimistic than expected, mainly due to 5-FU resistance (4, 5). Several studies have shown that approximately half of patients receiving chemotherapy for stage II and III CRC eventually develop chemotherapy resistance and disease recurrence (68). Therefore, identifying potential therapeutical targets has become an imperative need for CRC patients.

Homeobox D10 (HOXD10) is a member of the homeobox gene family that serves as a key transcription factor in the development of various types of cancer (912). The overexpression of HOXD10 can reverse miR-23a-mediated invasion in glioblastoma (13). Moreover, HOXD10 was found to inhibit cell invasion and induce apoptosis via the RhoC-AKT signaling pathway (14, 15). Furthermore, suppression of HOXD10 by miR-10b and miR-1269 was able to promote cancer metastasis in CRC (16, 17). Although these findings showed that HOXD10 serves as a key regulator in cancer metastasis, the clinical and biological relevance of HOXD10 in CRC is not fully investigated. In particular, the impact of HOXD10 on chemosensitivity remains largely unknown in CRC.

DNA methylation, one of the most important epigenetic alterations, plays a crucial role in carcinogenesis (1820). Accumulating pieces of evidence have shown that frequent hypermethylation of a target gene leads to its reduced expression level, therefore affecting cell behavior (21). Numerous studies have revealed that DNA methylation results in the suppression of HOXD10 expression in oral squamous cell (22), endometrial (11), and papillary thyroid carcinoma (23). Recently, Yuan et al. (24) observed that HOXD10 was hypermethylated and low expressed in CRC tissues. However, these results require more clinical data for validation, and the mechanism(s) involved in HOXD10 methylation needs to be further clarified.

Hence, we systematically and comprehensively investigated the molecular contributions of HOXD10 methylation in CRC, with a goal to identifying the targets of HOXD10 to promote colorectal carcinogenesis, finding evidence that indicates the link between HOXD10 and chemoresistance, and deciphering whether HOXD10 and its targets may have translational relevance as therapeutic targets. Accordingly, we evaluated the methylation status and the expression of HOXD10 in CRC tissues from The Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) database, and our cohort. We subsequently analyzed the correlation between HOXD10 methylation and clinical outcomes. Furthermore, we supported these findings by performing a series of functional assays and examining the downstream target genes that contribute to neoplastic progression and chemoresistance in CRC.

Materials and Methods

Patients and Specimen Collection

To investigate the methylation status of HOXD10, we initially queried TCGA database comprising 302 patients by using the web tool Wanderer, which allows real-time access of the DNA methylation profiles from TCGA (25). To evaluate the prognostic impacts of HOXD10, miR-7, and IGFBP3, we analyzed publicly available datasets, including 66 patents who had 5-FU-based chemotherapy from the GSE103479 dataset (26). In the clinical validation cohort, we analyzed 42 frozen tissues, comprising 42 primary CRC tissues, and 42 matched normal mucosa (NM) tissues, which were collected at Shanghai East Hospital, Tongji University School of Medicine. Written informed consent was obtained from all patients, and the study was approved by the Institutional Review Boards of all participating institutions. Patients who had radiotherapy or chemotherapy treatment before surgery were excluded.

Pyrosequencing Analysis

DNA was extracted from frozen tissues using a QIAamp DNA Mini Kit (Qiagen, Hilden, Germany). Subsequently, 100 ng DNA was bisulfite converted with an Epitect Bisulfite Kit (Qiagen) according to the manufacturer’s protocol. Bisulfite-treated DNA was amplified and then sequenced by pyrosequencing. Biotinylated forward primer: 5′-biotin-GGA GGT TTT TAG AGT TGA GAT TTT-3′; reverse primer: 5′-ACC TTA AAC CCC AAC CTC CTC T-3′. Sequencing primer: 5′-ACA ACA ACC ACA TCTA CT-3′. The methylation levels of the CpG sites were detected and analyzed using PyroMark Q96 ID System (Qiagen).

Cell Lines

HCT-116 and SW480 were obtained from the American Type Culture Collection (ATCC) and cultured in Dulbecco’s modified Eagle’s medium (DMEM; Invitrogen, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (FBS) and antibiotics (100 m/ml penicillin and 100 mg/ml streptomycin) at 37°C in 5% humidified CO2 atmosphere. The 5-FU-resistant cell lines HCT116/Res and SW480/Res were established in our laboratory and cultured in DMEM with 5 μg/ml of 5-FU.

Quantitative RT-PCR

Quantitative real-time PCR (qRT-PCR) assays were performed using the ABI7500 Real-Time PCR System (Applied Biosystems, Waltham, MA, USA). For gene expression analysis, the extracted RNA was synthesized to complementary DNA (cDNA) using the RevertAid First Strand cDNA Synthesis Kit (Thermo Scientific, Waltham, MA, USA). The cDNA was then subjected to qPCR using TB Green Premix Ex Taq (Tli RNaseH Plus), ROX plus kit (Takara, Shiga, Japan). The primer sequences for HOXD10 were as follows: forward: 5′-GAC ATG GGG ACC TAT GGA ATG C-3′, reverse: 5′-CGG ATC TGT CCA ACT GTC TAC T-3′; IGFBP3: forward: 5′-AGA CAC ACT GAA TCA CCT GAA GT-3′, reverse: 5′-AGG GCG ACA CTG CTT TTT CTT-3′; β-actin: forward: 5′-AGA GCT ACG AGC TGC CTG AC-3′, reverse: 5′-AGC ACT GTG TTG GCG TAC AG-3′. The relative expressions of the target genes were normalized against β-actin. For microRNA (miRNA) analysis, qRT-PCR was conducted using the TaqMan MicroRNA Reverse Transcription Kit and TaqMan Universal PCR Master Mix Kit (Applied Biosystems) according to the manufacturer’s instructions. The relative expression of miR-7 was normalized against U6.

Chromatin Immunoprecipitation Quantitative PCR Assay

Protein–DNA interaction was detected using the SimpleChIP Enzymatic Chromatin IP Kit (Cell Signaling Technology, Danvers, MA, USA). Briefly, the cells were cross-linked using formaldehyde solution, and chromatin was sheared by enzymatic digestion with micrococcal nuclease. The digested chromatin was subsequently incubated with antibodies and protein A/G plus agarose overnight at 4°C. Antibodies, as well as DNMT1, DNMT3B, MeCP2, and HOXD10, were purchased from Abcam (Cambridge, UK). The control immunoglobulin G (IgG) was obtained from the Chromatin IP Kit. After immunoprecipitation elution and DNA recovery, the purified DNA was subjected to qPCR. All signals obtained from each immunoprecipitation were expressed as percentages of the total input chromatin.

Plasmids, siRNA, and miRNA Mimics

HOXD10-expressing plasmids, IGFBP3-expressing plasmids, MeCP2 small interfering RNA (siRNA), and miR-7 mimics were all purchased from Shanghai GenePharma Biotech Company (Shanghai, China). CRC cells were transfected with plasmids, siRNA, or mimics using Lipofectamine 3000 (Invitrogen) and Opti-MEM (Gibco, Grand Island, NY, USA) according to the manufacturers’ instructions.

Cell Viability and Colony Formation Assay

The cell viability of CRC with different treatments was detected using Cell Counting Kit-8 (CCK-8, Beyotime Institute of Biotechnology, Haimen, China) according to the manufacturer’s instructions. Briefly, the cells with different treatments were cultured for 1–5 days and then 10 µl of CCK-8 reagent was added to each well. After 2 h of incubation, the absorbance was measured at 450 nm using a microplate reader. For the colony formation assay, 500 cells were seeded in each well of six-well plates and incubated for 10 days. The colonies were stained with crystal violet and counted.

Migration and Invasion Assays

Boyden chambers (Corning, Corning, NY, USA) with 8-mm pore size membranes coated with Matrigel (for invasion assays) or without Matrigel (for migration assays) were used for the cell migration and invasion assays. HOXD10-expressing cells or control cells were seeded onto the inserts at 5 × 105 cells in serum-free medium and transferred into wells with culture medium containing 10% FBS. After 24 h incubation, the non-invading cells on the top surface of the membrane were removed, while the invaded cells on the bottom of the membrane were fixed and stained using the Diff-Quik Staining Kit (Thermo Scientific) according to the manufacturer’s instructions. The stained cells were therefore counted using a light microscope.

Luciferase Reporter Assays

DNA fragments with HOXD10 binding sequences or deleted mutant sequences were ligated into the pGL4.21 firefly luciferase reporter vectors (Promega, Madison, WI, USA) according to the manufacturer’s instructions. HCT116 and SW480 cells were co-transfected with pGL4.21 reporter vectors and a Renilla luciferase plasmid, incubated for 48 h, and harvested according to the manufacturer’s instructions. Luciferase activities were measured using a dual-luciferase reagent (Promega). The luciferase activity was quantified by normalizing the signal of firefly to the activity of Renilla.

Statistical Analysis

All statistical analyses were performed using GraphPad Prism version 6.0 or MedCalc version 12.3 programs. Statistical differences between groups were determined with independent t-test or the Mann–Whitney U test. Median values were used as the cutoff values to determine the high expression or the low expression of HOXD10. Kaplan–Meier analysis and log-rank test were used to estimate and compare the progression-free survival (PFS) rates of CRC patients with high and low HOXD10 expressions. All p-values were two-sided, and those less than 0.05 were considered statistically significant.

Results

HOXD10 Is Frequently Methylated in Colorectal Cancer and Its Hypermethylation Correlates with Advanced Disease and Metastasis

To investigate the role of HOXD10 methylation in CRC, we first evaluated HOXD10 methylation in tumor and normal tissues from TCGA database and our cohort. Figure 1A shows HumanMethylation450 BeadChip loci in the vicinity of the HOXD10 promoter. By using the web tool Wanderer, we obtained the methylation profiles of HOXD10 from TCGA (Figure 1B). Several CpG sites of HOXD10 were observed frequently hypermethylated in tumor tissues (n = 302) compared to that in normal tissues (n = 38) (Figure 1B and Supplementary Table S1). Subsequently, we performed pyrosequencing analysis to measure the methylation level of HOXD10 in our cohort. We designed six CpG sites in our pyrosequencing analysis (Figure 1A), and our results showed that the average methylation levels of these six CpG site were higher in tumor tissues than those in normal tissues [43.03% (35.21%–53.27%) vs. 28.34% (22.03%–35.20%), n = 42, p < 0.0001] (Figure 1C).

FIGURE 1
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Figure 1 HOXD10 is frequently methylated in colorectal cancer. (A) Illustration of the CpG sites for pyrosequencing and HumanMethylation450 BeadChip loci in the promoter region of HOXD10. (B) The web tool Wanderer showed the methylation value of each 450 methylation loci in normal and colorectal cancer tissues. (C) Representative images of the pyrosequencing data are shown on the top left (#1 normal tissue) and top right (#1 cancer tissue). The bottom left image shows the methylation value of six CpG sites from 42 cancer tissues and normal tissues. *p < 0.05, **p < 0.01 (Mann–Whitney test). The bottom right image shows the heatmap of the methylation value from the six CpG sites.

We next evaluated the expression pattern of HOXD10 methylation in the context of its clinical significance in our cohort. HOXD10 hypermethylation was observed in a stage-dependent manner (p = 0.0120) (Table 1 and Figure 2A). Furthermore, HOXD10 hypermethylation was significantly more pronounced in cancer tissues with lymph node metastasis (p = 0.0120) (Table 1), suggesting that HOXD10 hypermethylation plays a key role in the development of CRC.

TABLE 1
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Table 1 Correlation between HOXD10 methylation and clinicopathologic features.

FIGURE 2
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Figure 2 HOXD10 methylation correlated with its low expression in colorectal cancer. (A) The relative methylation and mRNA levels of HOXD10 were demonstrated. Patients with advanced stage (III/IV) cancer had a higher level of methylation, but a lower expression level, compared to those with early stage (I/II) cancer. *p < 0.05, **p < 0.01 (Mann–Whitney test). Correlation analysis was also performed and showed that HOXD10 methylation was negatively associated with its expression level. (B) Chromatin immunoprecipitation quantitative PCR (ChIP-qPCR) assay revealed a significant enrichment of DNMT1, DNMT3B, and MeCP2 observed in the HOXD10 promoter region in the colorectal cancer cell lines HCT116 and SW480. **p < 0.01 (independent t-test). (C) HCT116 and SW480 cells were treated with the DNA methyltransferase (DNMT) inhibitor 5-Aza-2′-deoxycytidine (5-Aza-CdR) at concentrations ranging from 0 to 20 μM. The expression of HOXD10 was then evaluated by qPCR. **p < 0.01 (ANOVA test). (D) The expression of HOXD10 was examined in HOXD10-expressing cells and control cells using qPCR. **p < 0.01 (independent t-test).

DNA Methylation Leads to the Downregulation of HOXD10 Expression in Colorectal Cancer

To investigate the correlation between HOXD10 methylation and its expression, we measured the messenger RNA (mRNA) level of HOXD10 in our cohort. We found that HOXD10 expression was decreased, while its methylation level increased, in a stage-dependent manner (Figure 2A). Furthermore, HOXD10 expression showed a significant negative correlation with its methylation (r = −0.591, p < 0.001) (Figure 2A), suggesting that HOXD10 hypermethylation may contribute to its downregulation in CRC.

Accumulating evidence has demonstrated that DNA methyltransferases (DNMTs) frequently methylate the cytosine within CpG dinucleotides, and the methylated CpGs recruit a plethora of interacting proteins, such as methyl-CpG binding protein (MeCPs) and methyl-CpG binding domains (MBDs), to repress transcription (27, 28). By using chromatin immunoprecipitation (ChIP) assay, a significant enrichment of DNMT1, DNMT3B, and MeCP2 was observed in the HOXD10 promoter region in the CRC cell lines HCT116 and SW480 (Figure 2B). Furthermore, we treated CRC cells with the DNMT inhibitor 5-Aza-2′-deoxycytidine (5-Aza-CdR) and subsequently measured the expression and methylation levels of HOXD10. As shown in Figure 2C, 5-Aza-CdR treatment strikingly induced the expression of HOXD10, with an approximately fivefold increase in 5-Aza-CdR-treated cells compared to that in control cells (p < 0.01). Likewise, we have successfully reduced the expression of MeCP2 by using specific siRNA in HCT116 and SW480 cells, and the expression of HOXD10 was remarkably increased (p < 0.01) (Figure 2D). These findings highly support our hypothesis that DNA methylation caused the decreased HOXD10 expression in CRC.

Restoring HOXD10 Expression Suppresses Cell Growth and Invasiveness in Colorectal Cancer Cells

To investigate whether the restoration of HOXD10 could affect the biological functions in CRC cells, we generated the HOXD10-expressing HCT116 and SW480 cells. The CCK-8 assay showed that ectopic expression of HOXD10 significantly inhibited cell proliferation in both HCT116 and SW480 cell lines (Figure 3A). Moreover, colony formation was significantly inhibited in HOXD10-overexpressing cells compared to that in control cells (Figure 3B). To determine whether the overexpression of HOXD10 has any impact on the motility and invasive potential of CRC cells, we performed migration and invasion assays. HOXD10-expressing cells showed a remarkably impaired migration and invasion ability in both cancer cell lines compared with that in control cells (Figure 3C). Together, these results suggest that HOXD10 exerts tumor-suppressive functions in CRC.

FIGURE 3
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Figure 3 HOXD10 inhibited cell growth, colony formation, and migration and invasion. HCT116 and SW480 cells were transfected with either HOXD10 overexpression plasmids or control empty plasmids. HOXD10-expressing cells and control cells were then used for the CCK-8 assay (A), colony formation assay (B), and migration and invasion assays (C). *p < 0.05, **p < 0.01 (independent t-test comparing control and treated cells).

HOXD10 Regulates miR-7 and IGFBP3 Expressions in Colorectal Cancer

Previous studies have demonstrated miR-7 and IGFBP3 as direct targets of HOXD10 (2932); however, whether HOXD10 functions through miR-7 or IGFBP3 in CRC remains unknown. By using the online web tool PROMO (33), a virtual laboratory for the identification of putative transcription factor binding sites (TFBS) in DNA sequences, we predicated the potential binding sites of HOXD10 in the miR-7 and IGFBP3 promoter region (Figure 4A) and subsequently validated it using ChIP assay. Consistently, we observed a strong binding signal of HOXD10 in the miR-7 and IGFBP3 promoter region in HCT116 and SW480 cells (Figure 4A).

FIGURE 4
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Figure 4 HOXD10 regulated miR-7 and IGFBP3 in a promoter-dependent manner. (A) Chromatin immunoprecipitation quantitative PCR (ChIP-qPCR) assay revealed that HOXD10 binds to the miR-7 and IGFBP3 promoter region in HCT116 and SW480 cells. **p < 0.01 (independent t-test comparing IgG control and HOXD10 pull-down). (B, C) Luciferase reporter assay demonstrated the effect of transient expression of HOXD10 on either wild or deleted mutant promoter of miR-7 and IGFBP3. **p < 0.01 (independent t-test). (D, E) Relative expressions of miR-7 and IGFBP3 in HOXD10-expressing cells and control cells by qPCR. **p < 0.01 (independent t-test comparing control and HOXD10-expressing cells).

We further cloned the putative miR-7 and IGFBP3 promoters into a TATA-less basic pGL4-luc reporter (pGLmiR-7) and also constructed a mutant reporter with a series of deleted HOXD10 binding sequences. As shown in Figures 4B, C, the transient expression of HOXD10 significantly stimulated the transcription of miR-7 and IGFBP3 from the wild luciferase reporter, but showed less effect on the expressions of those from the deleted mutant. Moreover, the overexpression of HOXD10 led to an obvious upregulation of miR-7 and IGFBP3 in CRC cell lines (Figures 4D, E).

To further validate our in vitro results that HOXD10 regulated miR-7 and IGFBP3, we investigated the correlation of the expressions between HOXD10 and its target genes in CRC tissues. As shown in Figure 5A, the expression of HOXD10 was positively associated with the expressions of miR-7 (r = 0.357, p < 0.05) and IGFBP3 (r = 0.458, p < 0.01). Furthermore, cancer tissues with methylated HOXD10 revealed low expressions of both miR-7 and IGFBP3 (p < 0.01) (Figure 5B). Together, these observations suggest that HOXD10 directly interacts with the putative miR-7 and IGFBP3 promoters and that the expressions of these genes are positively regulated by the transcription factor HOXD10.

FIGURE 5
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Figure 5 HOXD10 and its targets miR-7 and IGFBP3 were correlated with 5-fluorouracil (5-FU)-resistant in colorectal cancer. (A) Correlation of the expressions of HOXD10 and its targets, miR-7 and IGFBP3. (B) Correlation of HOXD10 methylation and the expression of either miR-7 or IGFBP3. **p < 0.01 (Mann–Whitney test). (C) Correlation of HOXD10, miR-7, and IGFBP3 with progression-free survival in stage II and III CRC patients (n = 66) treated with adjuvant 5-FU-based chemotherapy using a publicly available GEO dataset (GSE103479). (D) CCK-8 assay showed the cell viability of 5-FU-resistant cell lines, HCT116/Res and SW480/Res, and their parental cells in the presence of 5-FU at different concentrations. **p < 0.01 (independent t-test comparing parental and 5-FU-resistant cells). (E) Relative expressions of HOXD10, miR-7, and IGFBP3 in parental and 5-FU-resistant cells by qPCR. **p < 0.01 (independent t-test comparing parental and 5-FU-resistant cells).

Restoration of HOXD10 Expression Serves as a Potential Therapeutic Target in Colorectal Cancer

Previous studies have demonstrated that miR-7 (3437) and IGFBP3 (3840) had significant impacts on chemosensitivity in a variety of cancers. We therefore assumed that HOXD10 and its targets, miR-7 and IGFBP3, may have clinical relevance as therapeutic targets for enhancing 5-FU sensitivity in CRC. To this end, we investigated the correlation of the expressions of HOXD10 and its targets with PFS in stage II and III CRC patients (n = 66) treated with adjuvant 5-FU-based chemotherapy using a publicly available GEO dataset (GSE103479). Although HOXD10 and its targets failed to show a significant correlation with PFS, we indeed observed a trend that patients with low expressions of HOXD10, miR-7, and IGFBP3 had poor prognosis (Figure 5C), suggesting that the activation of HOXD10 and its targets may increase chemosensitivity to 5-FU in CRC.

We have successfully established 5-FU-resistant cell lines, HCT116/Res and SW480/Res. As shown in Figure 5D, the resistant cell lines can grow in culture medium supplemented with 5–20 μg/ml 5-FU, while the parental cell lines showed inhibited cell growth in the presence of 5 μg/ml of 5-FU. We then measured the expression levels of HOXD10, miR-7, and IGFBP3 in parental and resistant cell lines. Interestingly, miR-7 and IGFBP3 were significantly downregulated in resistant cell lines compared to that in parental cells (Figure 5E), while the expression of HOXD10 was not obviously altered in resistant cells, suggesting that HOXD10 was possibly methylated in both parental and resistant cells. Therefore, we hypothesized that restoring the expression of HOXD10 in resistant cells may activate the expressions of miR-7 and IGFBP3. In line with our assumption, the overexpression of HOXD10 strikingly upregulated miR-7 and IGFBP3 in the resistant cell line (Figure 6A).

FIGURE 6
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Figure 6 Restoration of HOXD10 in resistant cells enhanced chemosensitivity through miR-7 and IGFBP3. (A) Relative expressions of miR-7 and IGFBP3 in resistant colorectal cancer cells with HOXD10 overexpression or control cells. **p < 0.01 (independent t-test comparing control and HOXD10-expressing cells). (B) CCK-8 assay showed the cell viability of resistant cells with HOXD10, miR-7, or IGFBP3 overexpression under treatment with 5 μg/ml 5-fluorouracil (5-FU). **p < 0.01 (independent t-test). (C) Colony formation assay showed that resistant cells expressing HOXD10 showed a significantly reduced number of colonies compared to control cells in either absence or presence of 5-FU. **p < 0.01 (independent t-test). (D) Schematic illustration showing that HOXD10 is frequently methylated, silenced, and contributes to the development of colorectal cancers. The re-expressed HOXD2 directly regulates the expressions of both miR-7 and IGFBP3, highlighting that the restoration of HOXD10 with concurrent 5-FU-based chemotherapy may be a potential treatment option for patients with CRC.

To further determine whether restoring HOXD10 facilitates chemosensitization via miR-7 and IGFBP3, we compared the cell viability of control resistant cells and resistant cells expressing HOXD10, IGFBP3, or miR-7 in the presence of 5 μg/ml of 5-FU. Consistent with previous data, 5-FU treatment did not have any growth inhibitory effect on controls cells, while HOXD10, IGFBP3, or miR-7 significantly suppressed cell growth under treatment of 5-FU, suggesting that HOXD10 increases 5-FU sensitivity through miR-7 and IGFBP3 (Figure 6B). We further validated these results by performing colony formation assay. We observed that resistant cells expressing HOXD10 showed a significantly reduced number of colonies compared to control cells in either absence or presence of 5-FU (Figure 6C). Collectively, our analyses provided evidence that restoring the expression of HOXD10 can sufficiently increase the expressions of miR-7 and IGFBP3, therefore inhibiting 5-FU resistance in CRC (Figure 6D).

Discussion

CRC is one of the most common malignant diseases worldwide. Therefore, elucidation of the molecular mechanisms involved in the development of CRC is essential for the identification of novel biomarkers or better therapeutic targets for the management of CRC patients. Numerous studies have shown that adjuvant 5-FU-based chemotherapy can improve the 5-year overall survival (OS) of stage II and III patients compared to surgery alone (41, 42). However, the prognosis of such patients still remains poor, mainly due to 5-FU resistance (43, 44). Herein, we have made several novel observations. Firstly, we found that HOXD10 was frequently methylated in CRC and that overmethylated HOXD10 was associated with tumor stage and lymph node metastasis. Secondly, we revealed the mechanism that a plethora of methylation-associated proteins were recruited to the promoter of HOXD10, therefore leading to the inhibition of transcription. HOXD10 methylation was negatively correlated with its expression. Thirdly, we showed the biological relevance of HOXD10 as a tumor-suppressive DNA in CRC. Fourthly, we demonstrated that HOXD10 positively regulated miR-7 and IGFBP3 in vitro. Restoration of HOXD10 can suppress CRC cell growth and invasiveness, as well as 5-FU resistance, highlighting its potential therapeutic role in the management of patients with CRC.

In view of recent limited evidence that HOXD10 methylation contributes to gene regulation and carcinogenesis, in the present study, we first revealed that HOXD10 was differentially methylated between cancer and normal tissues, which was observed from both TCGA dataset and our cohort. We further demonstrated that HOXD10 methylation correlated with advanced stage and lymph node metastasis, suggesting that epigenetically silenced HOXD10 contributes to the progress of CRC. Interestingly, HOXD10 methylation occurs not only in the CRC but also in other types of cancer, such as oral squamous cell carcinoma (22), endometrial carcinoma (11), and hepatocellular carcinoma (45), suggesting that HOXD10 hypermethylation is a frequent driver event and represents a promising pan-cancer therapeutic target.

We have previously reported that miR-7 activity can be regulated by circular RNA ciRS-7 in CRC (46). The ciRS-7-inhibited activity led to the impaired oncogenic phenotype of CRC cells. Herein, we discovered a new mechanism that HOXD10 stimulates miR-7 expression in a promoter-dependent manner. We confirmed the binding sequence of HOXD10 in the miR-7 promoter region. The overexpression of HOXD10 can sufficiently upregulate the promoter activity and transcription level of miR-7, suggesting that HOXD10 exerts its tumor-suppressive function, at least in part, through miR-7. Recently, miR-7 was found to contribute to chemoresistance in multiple cancers through its targets, such as YAP, MRP1, BCL2, YY1, PARP1 (34, 35, 47, 48). However, the impact of miR-7 on chemoresistance in CRC remains largely unknown. Unfortunately, we cannot find clinical evidence that miR-7 can affect the prognosis of CRC patients who had 5-FU treatment, possibly due to the clinically and biologically heterogeneous malignancy of this disease or the lack of sufficient number of participants in our investigated cohort. Our in vitro data, however, showed that 5-FU-resistant cells showed lower expression levels of miR-7 compared to those in parental CRC cells. Furthermore, the overexpression of miR-7 in resistant cells increased their sensitivity to 5-FU, implicating that miR-7 substantially increases 5-FU sensitivity in CRC.

Likewise, IGFBP3 is another direct target of HOXD10 in CRC. We found that the ectopic expression of HOXD10 significantly induced IGFBP3 promoter activity and its expression in CRC. A few studies have suggested the downregulation of IGFBP3 in CRC and its role in the regulation of invasion and metastasis (4951). Consistent with this, our study observed that HOXD10 suppressed cell migration and invasion and that the low level of HOXD10 was associated with metastasis in CRC, highlighting the critical role of IGFBP3 in HOXD10-mediated tumor-suppressive effect. One study, however, indicated that IGFBP-3 showed biological effects on the chemosensitization of pancreatic ductal adenocarcinoma cells (52). Until now, studies reporting the functional or clinical significance of IGFBP3 in association with chemoresistance in CRC are limited. Interestingly, we observed a trend that 5-FU-treated patients with low expressions of IGFBP3 had poor PFS, supporting our hypothesis that IGFBP3 was involved in chemoresistance. Our in vitro data validated IGFBP3 being able to increase 5-FU sensitivity in resistant cells. These findings may help provide a better understanding of the mechanisms of HOXD10 and its interacting targets, miR-7 and IGFBP3, in cancer progression and chemoresistance in CRC, suggesting that HOXD10 may serve as an important potential therapeutic target in this disease.

To fully appreciate the therapeutic relevance of HOXD10 in CRC, its biological significance as an inhibitor to colorectal pathogenesis should also be considered. Our functional experiments provided convincing evidence to support the correlation of HOXD10 with an inhibited phenotype, in which HOXD10 overexpression suppressed cell proliferation, colony formation ability, and the migration and invasion capacity. Moreover, the restoration of HOXD10 in 5-FU-resistant cells efficiently induced the expressions of miR-7 and IGFBP3, therefore sensitizing resistant cells to 5-FU. Accordingly, our results successfully proved our hypothesis, whereby HOXD10 activated the expressions of miR-7 and IGFBP3 and resulted in a biologically inhibited phenotype. However, we did not find an obvious effect of HOXD10 on the prognosis of patients who had 5-FU treatment. Additional cohort studies with large patient numbers are required.

Taken together, we provide novel evidence that HOXD10 is frequently methylated, silenced, and contributes to the development of CRC. From a functional and mechanism perspective, HOXD2 directly regulates the expression of both miR-7 and IGFBP3. We conclude that the restoration of HOXD10 with concurrent 5-FU-based chemotherapy may be a potential treatment option for patients with this malignant disease.

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 authors.

Ethics Statement

The studies involving human participants were reviewed and approved by Shanghai East Hospital, Tongji University School of Medicine. The patients/participants provided written informed consent to participate in this study.

Author Contributions

WP, YW, WG, and WW contributed to the study concept and design. KW and WG provided the specimen. KW acquired clinical data. WP, JL, HL, YC, MZ, AW, and YW performed the in vitro experiment. WP and WW drafted the manuscript. All authors contributed to the article and approved the submitted version.

Funding

The present work was supported by grants no. 81672826 and no. 81874179 from the National Natural Science Foundation of China, no. 2017YQ044 from the Municipal Human Resources Development Program for Outstanding Young Talents in Medical and Health Sciences in Shanghai, 18PJD047 from Shanghai Pujiang Talent Plan, and no. 18411969900 from the Science and Technology Commission of Shanghai Municipality to WW. The views expressed in the submitted article are the authors’ own and not an official position of the institutions or funders.

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.2021.771528/full#supplementary-material

References

1. Siegel RL, Miller KD, Goding Sauer A, Fedewa SA, Butterly LF, Anderson JC, et al. Colorectal Cancer Statistics, 2020. CA Cancer J Clin (2020) 70:145–64. doi: 10.3322/caac.21601

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin (2018) 68:394–424. doi: 10.3322/caac.21492

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Longley DB, Harkin DP, Johnston PG. 5-Fluorouracil: Mechanisms of Action and Clinical Strategies. Nat Rev Cancer (2003) 3:330–8. doi: 10.1038/nrc1074

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Vaghari-Tabari M, Majidinia M, Moein S, Qujeq D, Asemi Z, Alemi F, et al. MicroRNAs and Colorectal Cancer Chemoresistance: New Solution for Old Problem. Life Sci (2020) 259:118255. doi: 10.1016/j.lfs.2020.118255

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Blondy S, David V, Verdier M, Mathonnet M, Perraud A, Christou N. 5-Fluorouracil Resistance Mechanisms in Colorectal Cancer: From Classical Pathways to Promising Processes. Cancer Sci (2020) 111:3142–54. doi: 10.1111/cas.14532

PubMed Abstract | CrossRef Full Text | Google Scholar

6. de Mestier L, Manceau G, Neuzillet C, Bachet JB, Spano JP, Kianmanesh R, et al. Primary Tumor Resection in Colorectal Cancer With Unresectable Synchronous Metastases: A Review. World J Gastrointest Oncol (2014) 6:156–69. doi: 10.4251/wjgo.v6.i6.156

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Body A, Prenen H, Lam M, Davies A, Tipping-Smith S, Lum C, et al. Neoadjuvant Therapy for Locally Advanced Rectal Cancer: Recent Advances and Ongoing Challenges. Clin Colorectal Cancer (2021) 20:29–41. doi: 10.1016/j.clcc.2020.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Luo XJ, Zhao Q, Liu J, Zheng JB, Qiu MZ, Ju HQ, et al. Novel Genetic and Epigenetic Biomarkers of Prognostic and Predictive Significance in Stage II/III Colorectal Cancer. Mol Ther (2021) 29:587–96. doi: 10.1016/j.ymthe.2020.12.017

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Lai FJ, Yu H, Xie YY, He N. Circ_0000317/microRNA-520g/HOXD10 Axis Affects the Biological Characteristics of Colorectal Cancer. Kaohsiung J Med Sci (2021). doi: 10.1002/kjm2.12422

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lin Z, Hu Y, Lin R, Ye H. The Effect of Overexpression of the HOXD10 Gene on the Malignant Proliferation, Invasion, and Tumor Formation of Pancreatic Cancer Cell PANC-1. Gland Surg (2020) 9:385–91. doi: 10.21037/gs.2020.03.28

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Yang F, Liu D, Deng Y, Wang J, Mei S, Ge S, et al. Frequent Promoter Methylation of HOXD10 in Endometrial Carcinoma and its Pathological Significance. Oncol Lett (2020) 19:3602–8. doi: 10.3892/ol.2020.11467

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Li S, Zhang J, Zhao Y, Wang F, Chen Y, Fei X, et al. miR-224 Enhances Invasion and Metastasis by Targeting HOXD10 in non-Small Cell Lung Cancer Cells. Oncol Lett (2018) 15:7069–75. doi: 10.3892/ol.2018.8245

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Yachi K, Tsuda M, Kohsaka S, Wang L, Oda Y, Tanikawa S, et al. miR-23a Promotes Invasion of Glioblastoma via HOXD10-Regulated Glial-Mesenchymal Transition. Signal Transduct Target Ther (2018) 3:33. doi: 10.1038/s41392-018-0033-6

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Liu Z, Zhu J, Cao H, Fang X. miR-10b Promotes Cell Invasion Through RhoC-AKT Signaling Pathway by Targeting HOXD10 in Gastric Cancer. Int J Oncol (2012) 40:1553–60. doi: 10.3892/ijo.2012.1342

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Yang H, Zhou J, Mi J, Ma K, Fan Y, Ning J, et al. HOXD10 Acts as a Tumor-Suppressive Factor via Inhibition of the RHOC/AKT/MAPK Pathway in Human Cholangiocellular Carcinoma. Oncol Rep (2015) 34:1681–91. doi: 10.3892/or.2015.4194

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Wang Y, Li Z, Zhao X, Zuo X, Peng Z. miR-10b Promotes Invasion by Targeting HOXD10 in Colorectal Cancer. Oncol Lett (2016) 12:488–94. doi: 10.3892/ol.2016.4628

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Bu P, Wang L, Chen KY, Rakhilin N, Sun J, Closa A, et al. miR-1269 Promotes Metastasis and Forms a Positive Feedback Loop With TGF-Beta. Nat Commun (2015) 6:6879. doi: 10.1038/ncomms7879

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Sriraman A, Debnath TK, Xhemalce B, Miller K. Making it or Breaking it: DNA Methylation and Genome Integrity. Essays Biochem (2020) 64:687–703. doi: 10.1042/EBC20200009

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Wang J, Yang J, Li D, Li J. Technologies for Targeting DNA Methylation Modifications: Basic Mechanism and Potential Application in Cancer. Biochim Biophys Acta Rev Cancer (2021) 1875:188454. doi: 10.1016/j.bbcan.2020.188454

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Li S, Tollefsbol TO. DNA Methylation Methods: Global DNA Methylation and Methylomic Analyses. Methods (2021) 187:28–43. doi: 10.1016/j.ymeth.2020.10.002

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Casalino L, Verde P. Multifaceted Roles of DNA Methylation in Neoplastic Transformation, From Tumor Suppressors to EMT and Metastasis. Genes (Basel) (2020) 11(8):922–46. doi: 10.3390/genes11080922

CrossRef Full Text | Google Scholar

22. Rodrigues M, Xavier FCA, Esteves CD, Nascimento RB, Nobile JS, Severino P, et al. Homeobox Gene Amplification and Methylation in Oral Squamous Cell Carcinoma. Arch Oral Biol (2021) 129:105195. doi: 10.1016/j.archoralbio.2021.105195

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Cao YM, Gu J, Zhang YS, Wei WJ, Qu N, Wen D, et al. Aberrant Hypermethylation of the HOXD10 Gene in Papillary Thyroid Cancer With BRAFV600E Mutation. Oncol Rep (2018) 39:338–48. doi: 10.3892/or.2017.6058

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Yuan YH, Wang HY, Lai Y, Zhong W, Liang WL, Yan FD, et al. Epigenetic Inactivation of HOXD10 Is Associated With Human Colon Cancer via Inhibiting the RHOC/AKT/MAPK Signaling Pathway. Cell Commun Signal (2019) 17:9. doi: 10.1186/s12964-018-0316-0

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Diez-Villanueva A, Mallona I, Peinado MA. Wanderer, an Interactive Viewer to Explore DNA Methylation and Gene Expression Data in Human Cancer. Epigenet Chromatin (2015) 8:22. doi: 10.1186/s13072-015-0014-8

CrossRef Full Text | Google Scholar

26. Allen WL, Dunne PD, McDade S, Scanlon E, Loughrey M, Coleman H, et al. Transcriptional Subtyping and CD8 Immunohistochemistry Identifies Poor Prognosis Stage II/III Colorectal Cancer Patients Who Benefit From Adjuvant Chemotherapy. JCO Precis Oncol (2018) 2018. doi: 10.1200/PO.17.00241

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Dhar GA, Saha S, Mitra P, Chaudhuri RN. DNA Methylation and Regulation of Gene Expression: Guardian of Our Health. Nucleus (Calcutta) (2021) 1–12.

PubMed Abstract | Google Scholar

28. Wu HJ, Chu PY. Epigenetic Regulation of Breast Cancer Stem Cells Contributing to Carcinogenesis and Therapeutic Implications. Int J Mol Sci (2021) 22(15):8113–43. doi: 10.3390/ijms22158113

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Reddy SD, Ohshiro K, Rayala SK, Kumar R. MicroRNA-7, a Homeobox D10 Target, Inhibits P21-Activated Kinase 1 and Regulates Its Functions. Cancer Res (2008) 68:8195–200. doi: 10.1158/0008-5472.CAN-08-2103

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Zhang H, Cai K, Wang J, Wang X, Cheng K, Shi F, et al. MiR-7, Inhibited Indirectly by lincRNA HOTAIR, Directly Inhibits SETDB1 and Reverses the EMT of Breast Cancer Stem Cells by Downregulating the STAT3 Pathway. Stem Cells (2014) 32:2858–68. doi: 10.1002/stem.1795

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Xue M, Fang Y, Sun G, Zhuo W, Zhong J, Qian C, et al. IGFBP3, a Transcriptional Target of Homeobox D10, Is Correlated With the Prognosis of Gastric Cancer. PloS One (2013) 8:e81423. doi: 10.1371/journal.pone.0081423

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Wang L, Chen S, Xue M, Zhong J, Wang X, Gan L. Homeobox D10 Gene, a Candidate Tumor Suppressor, Is Downregulated Through Promoter Hypermethylation and Associated With Gastric Carcinogenesis. Mol Med (2012) 18:389–400. doi: 10.2119/molmed.2011.00172

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Farre D, Roset R, Huerta M, Adsuara J, Rosello L, Alba MM, et al. Identification of Patterns in Biological Sequences at the ALGGEN Server: PROMO and MALGEN. Nucleic Acids Res (2003) 31:3651–3. doi: 10.1093/nar/gkg605

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Hong T, Ding J, Li W. miR-7 Reverses Breast Cancer Resistance to Chemotherapy by Targeting MRP1 And Bcl2. Onco Targets Ther (2019) 12:11097–105. doi: 10.2147/OTT.S213780

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Jia B, Liu W, Gu J, Wang J, Lv W, Zhang W, et al. MiR-7-5p Suppresses Stemness and Enhances Temozolomide Sensitivity of Drug-Resistant Glioblastoma Cells by Targeting Yin Yang 1. Exp Cell Res (2019) 375:73–81. doi: 10.1016/j.yexcr.2018.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Glover AR, Zhao JT, Gill AJ, Weiss J, Mugridge N, Kim E, et al. MicroRNA-7 as a Tumor Suppressor and Novel Therapeutic for Adrenocortical Carcinoma. Oncotarget (2015) 6:36675–88. doi: 10.18632/oncotarget.5383

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Liu H, Wu X, Huang J, Peng J, Guo L. miR-7 Modulates Chemoresistance of Small Cell Lung Cancer by Repressing MRP1/ABCC1. Int J Exp Pathol (2015) 96:240–7. doi: 10.1111/iep.12131

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Wang SH, Chen YL, Hsiao JR, Tsai FY, Jiang SS, Lee AY, et al. Insulin-Like Growth Factor Binding Protein 3 Promotes Radiosensitivity of Oral Squamous Cell Carcinoma Cells via Positive Feedback on NF-Kappab/IL-6/ROS Signaling. J Exp Clin Cancer Res (2021) 40:95. doi: 10.1186/s13046-021-01898-7

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Hensley PJ, Cao Z, Pu H, Dicken H, He D, Zhou Z, et al. Predictive and Targeting Value of IGFBP-3 in Therapeutically Resistant Prostate Cancer. Am J Clin Exp Urol (2019) 7:188–202.

PubMed Abstract | Google Scholar

40. Alami N, Page V, Yu Q, Jerome L, Paterson J, Shiry L, et al. Recombinant Human Insulin-Like Growth Factor-Binding Protein 3 Inhibits Tumor Growth and Targets the Akt Pathway in Lung and Colon Cancer Models. Growth Horm IGF Res (2008) 18:487–96. doi: 10.1016/j.ghir.2008.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Mohammadpour S, Goodarzi HR, Jafarinia M, Porhoseingholi M, Mojarad E. EMAST Status as a Beneficial Predictor of Fluorouracil-Based Adjuvant Chemotherapy for Stage II/III Colorectal Cancer. J Cell Physiol (2020) 235:3604–11. doi: 10.1002/jcp.29249

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Song K, Guo Y, Wang X, Cai H, Zheng W, Li N, et al. Transcriptional Signatures for Coupled Predictions of Stage II and III Colorectal Cancer Metastasis and Fluorouracil-Based Adjuvant Chemotherapy Benefit. FASEB J (2019) 33:151–62. doi: 10.1096/fj.201800222RRR

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Ukai S, Sakamoto N, Taniyama D, Harada K, Honma R, Maruyama M, et al. KHDRBS3 Promotes Multi-Drug Resistance and Anchorage-Independent Growth in Colorectal Cancer. Cancer Sci (2021) 112:1196–208. doi: 10.1111/cas.14805

PubMed Abstract | CrossRef Full Text | Google Scholar

44. An J, Seok H, Ha EM. GABA-Producing Lactobacillus Plantarum Inhibits Metastatic Properties and Induces Apoptosis of 5-FU-Resistant Colorectal Cancer Cells via GABAB Receptor Signaling. J Microbiol (2021) 59:202–16. doi: 10.1007/s12275-021-0562-5

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Guo Y, Peng Y, Gao D, Zhang M, Yang W, Linghu E, et al. Silencing HOXD10 by Promoter Region Hypermethylation Activates ERK Signaling in Hepatocellular Carcinoma. Clin Epigenet (2017) 9:116. doi: 10.1186/s13148-017-0412-9

CrossRef Full Text | Google Scholar

46. Weng W, Wei Q, Toden S, Yoshida K, Nagasaka T, Fujiwara T, et al. Circular RNA ciRS-7-A Promising Prognostic Biomarker and a Potential Therapeutic Target in Colorectal Cancer. Clin Cancer Res (2017) 23:3918–28. doi: 10.1158/1078-0432.CCR-16-2541

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Chen R, Qian Z, Xu X, Zhang C, Niu Y, Wang Z, et al. Exosomes-Transmitted miR-7 Reverses Gefitinib Resistance by Targeting YAP in Non-Small-Cell Lung Cancer. Pharmacol Res (2021) 165:105442. doi: 10.1016/j.phrs.2021.105442

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Morales-Martinez M, Vega GG, Neri N, Nambo MJ, Alvarado I, Cuadra I, et al. MicroRNA-7 Regulates Migration and Chemoresistance in Non-Hodgkin Lymphoma Cells Through Regulation of KLF4 and YY1. Front Oncol (2020) 10:588893. doi: 10.3389/fonc.2020.588893

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Kumar A, Singh P, Pandey A, Gosipatala SB. IGFBP3 Gene Promoter Methylation Analysis and Its Association With Clinicopathological Characteristics of Colorectal Carcinoma. Mol Biol Rep (2020) 47:6919–27. doi: 10.1007/s11033-020-05747-2

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Zhou N, Sun Z, Li N, Ge Y, Zhou J, Han Q, et al. Mir197 Promotes the Invasion and Migration of Colorectal Cancer by Targeting Insulinlike Growth Factorbinding Protein 3. Oncol Rep (2018) 40:2710–21. doi: 10.3892/or.2018.6640

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Fu T, Pappou EP, Guzzetta AA, Calmon Mde F, Sun L, Herrera A, et al. IGFBP-3 Gene Methylation in Primary Tumor Predicts Recurrence of Stage II Colorectal Cancers. Ann Surg (2016) 263:337–44. doi: 10.1097/SLA.0000000000001204

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Mofid MR, Gheysarzadeh A, Bakhtiyari S. Insulin-Like Growth Factor Binding Protein 3 Chemosensitizes Pancreatic Ductal Adenocarcinoma Through Its Death Receptor. Pancreatology (2020) 20:1442–50. doi: 10.1016/j.pan.2020.07.406

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: colorectal cancer, HOXD10, DNA methylation, miR-7, IGFBP3, 5-fluorouracil, chemosensitivity

Citation: Pan W, Wang K, Li J, Li H, Cai Y, Zhang M, Wang A, Wu Y, Gao W and Weng W (2021) Restoring HOXD10 Exhibits Therapeutic Potential for Ameliorating Malignant Progression and 5-Fluorouracil Resistance in Colorectal Cancer. Front. Oncol. 11:771528. doi: 10.3389/fonc.2021.771528

Received: 06 September 2021; Accepted: 11 October 2021;
Published: 01 November 2021.

Edited by:

Yuanyuan Lu, Fourth Military Medical University, China

Reviewed by:

Jun Wu, Shanghai First People’s Hospital, China
Renquan Lu, Fudan University, China
Tsuyoshi Ozawa, The University of Tokyo, Japan

Copyright © 2021 Pan, Wang, Li, Li, Cai, Zhang, Wang, Wu, Gao and Weng. 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: Wenhao Weng, wengwenhao2010@163.com; Wei Gao, elliotgw@126.com; Yazhou Wu, hddandwyz000@126.com

These authors have contributed equally to this work

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.