J Cancer 2026; 17(10):1709-1719. doi:10.7150/jca.139096 This issue Cite
Research Paper
1. School of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
2. School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
3. Department of Otolaryngology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
4. Department of Otolaryngology, Chung Shan Medical University Hospital, Taichung, Taiwan.
5. Institute of Oral Sciences, Chung Shan Medical University, Taichung, Taiwan.
6. Department of Mathematics and Statistics, Florida Atlantic University, Boca Raton, FL, USA.
7. Department of Urology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
8. Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
9. Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.
10. Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
11. Pulmonary Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
12. Traditional Herbal Medicine Research Center, Taipei Medical University Hospital, Taipei, Taiwan.
13. TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan.
Received 2026-6-9; Accepted 2026-8-21; Published 2026-9-11
Background: Oral squamous cell carcinoma (OSCC) is a predominant malignancy of the oral cavity, with tongue squamous cell carcinoma (TSCC) accounting for a substantial proportion of cases worldwide. High-mobility group A protein 2 (HMGA2) is a nonhistone chromatin-binding factor implicated in aggressive malignant phenotypes of various human cancers. However, the effects of HMGA2 variants on OSCC susceptibility and tumor clinicopathological aggressiveness remain unclear.
Methods: We examined the associations of functional HMGA2 single-nucleotide polymorphisms (SNPs) with TSCC susceptibility and aggressive tumor characteristics in Taiwanese men. Four tagging SNPs (rs6581658 A>G, rs10573247 T>del, rs968697 T>C, and rs8756 A>C) were genotyped using a TaqMan allelic discrimination assay. In addition, HMGA2 expression patterns, as well as their associations with disease aggressiveness and patient survival outcomes, were analyzed using multiple independent datasets, including TCGA, CPTAC, and GEO.
Results: Our results indicated no significant association between the four SNPs and TSCC susceptibility. However, carriers of the rs6581658 G allele had significantly increased risks of large tumors (>T2) and advanced clinical stage (stage III or IV) in the dominant model. Moreover, the rs10573247 variant was significantly associated with an increased risk of lymph node metastasis in patients exposed to environmental carcinogens, including betel quid and cigarette smoke. By contrast, the rs968697 variant exerted a protective effect against advanced disease and lymph node metastasis in patients without such environmental exposure. Analyses of clinical datasets pertaining to an American cohort with head and neck squamous cell carcinoma and a Taiwanese cohort with OSCC revealed that HMGA2 expression was upregulated in tumor tissues and was associated with poor prognosis.
Conclusion: These findings suggest potential exposure-stratified association in TSCC and highlight HMGA2 polymorphisms as promising biomarkers for risk assessment and disease monitoring in male patients with TSCC.
Keywords: oral squamous cell carcinoma, high-mobility group A protein 2, single-nucleotide polymorphism, lifestyle-related risk, aggressive tumor characteristics, male population
Oral squamous cell carcinoma (OSCC) is the most common malignancy of the oral cavity, accounting for approximately 90% of all types of oral cancer. OSCC predominantly originates in the tongue, where it is referred to as tongue squamous cell carcinoma (TSCC). Poor prognosis in OSCC is largely attributable to its aggressive invasion and metastasis patterns, adverse clinicopathological features, and limited treatment response. OSCC is a complex and heterogeneous disease whose development is influenced by genetic, epigenetic, environmental, and lifestyle factors [1-3]. Therefore, identifying reliable genetic biomarkers for TSCC is crucial, and further research is required to determine the roles of candidate genes in TSCC progression.
High-mobility group A protein 2 (HMGA2) is a 160-kb gene located on chromosome 12. As an architectural transcription factor, HMGA2 contains three AT-hook domains that bind to AT-rich sequences in the minor groove of DNA, which alters the chromatin architecture and modulates the assembly and maintenance of enhancer complexes, ultimately regulating the transcription of numerous genes [4, 5]. In addition, HMGA2 functions as a transcriptional coregulator by recruiting other transcription-associated proteins [6]. Overexpression of HMGA2 variants promotes the growth of benign tumors, indicating that HMGA2 promotes cell proliferation and contributes to tumorigenesis [7]. Indeed, HMGA2 overexpression has been implicated in tumor aggressiveness, and chemotherapy resistance across human malignancies, including OSCC [8-11]. The molecular mechanisms underlying HMGA2-mediated carcinogenesis have been extensively studied [8]. For example, HMGA2 interacts with protein phosphatase 4 regulatory subunit 1 to facilitate cell migration and metastasis by activating epithelial-mesenchymal transition (EMT) in non-small cell lung cancer [12]. In OSCC, tumorigenesis is further promoted by the histone lysine methyltransferase SMYD3, which enhances HMGA2 transcription through H3K4me3-mediated epigenetic regulation [13].
Recently, researchers have increasingly investigated the role of genetic risk factors, particularly single-nucleotide polymorphisms (SNPs), in the early prediction and prognosis of OSCC [4]. SNPs refer to single-base substitutions, insertions, or deletions that occur at specific genomic loci, with an average frequency of approximately 1 in every 800 base pairs [5]. By definition, these variants must be present in at least 1% of the general population. Genome-wide association studies have identified significant associations between height and HMGA2 SNPs [14]. However, molecular genetic evidence regarding the role of HMGA2-related SNPs in cancer remains limited. Very few studies have examined the association between HMGA2 polymorphisms and cancer risk [15-17], and data specific to OSCC remain lacking. In the present case-control study, we investigated the associations of HMGA2 polymorphisms with TSCC susceptibility and clinicopathological characteristics in Taiwanese men.
This study included 383 men with TSCC who received treatment at Chung Shan Medical University Hospital, Taichung, Taiwan. The study protocol was approved by the Ethics Committee of Chung Shan Medical University Hospital (approval number: CS1-21151). All participants provided written informed consent before enrollment. They also provided detailed information on lifestyle-related risk factors for cancer—for example, alcohol consumption, cigarette smoking, and betel quid chewing. This study also included 911 anonymized healthy controls randomly selected from the Taiwan Biobank Project. None of these controls had a history of cancer at any site. Patients with oral precancerous conditions were excluded from the control group. Clinical data pertaining to patients with TSCC were retrieved from medical records and included tumor-node-metastasis clinical stage, primary tumor size, lymph node (LN) involvement, distant metastasis status, and tumor histologic grade. All participants included in the control group were male, and the case and control groups were comparable in terms of ethnicity and geographic background, as all participants were Taiwanese individuals recruited from the same population. Therefore, the potential influence of population stratification is expected to be limited.
Whole blood samples were collected in EDTA-coated tubes and centrifuged at 3,000 rpm to isolate the buffy coat. Genomic DNA was extracted from peripheral blood leukocytes by using a QIAamp DNA Mini Kit (Qiagen, Valencia, CA, USA), following the manufacturer's instructions. DNA purity and concentration were measured using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA), and the samples were stored at -20°C until genotyping. On the basis of data obtained from the SNPinfo (https://snpinfo.niehs.nih.gov/snpinfo/snpfunc.html) and dbSNP (https://www.ncbi.nlm.nih.gov/snp/) databases, we selected four potentially functional polymorphisms of HMGA2: rs6581658 A>G, rs10573247 T>del, rs968697 T>C, and rs8756 A>C. These SNPs were also selected based on functional predictions, minor allele frequency (MAF), linkage disequilibrium (LD) criteria, and prior cancer association studies, as prior studies have demonstrated their association with cancer susceptibility or aggressive tumor characteristics across malignancies [15-20]. Based on the dbSNP database, a MAF threshold of > 0.10 was set for the Asian reference population to ensure sufficient statistical power. The MAFs of rs6581658 (A>G), rs10573247 (T>del), rs968697 (T>C), and rs8756 (A>C) in the Asian population were 0.219 (G), 0.391 (T), 0.138 (C), and 0.135 (C), respectively. In cancer cohorts, the rs8756 A>C and rs6581658 A>G polymorphisms have been reported to decrease and increase the risk of brain tumors in Chinese children, respectively [15, 18]. The rs968697 T>C polymorphism has been linked to Wilms tumor susceptibility [16], and its CC genotype is associated with a lower frequency of advanced-stage colorectal cancer[19]. Likewise, individuals carrying the TC/CC genotypes of rs968697 exhibit a significantly reduced risk of hepatoblastoma [20]. Additionally, the HMGA2 rs10573247 polymorphism has been implicated in breast cancer susceptibility [17]. To ensure independent genetic representation across the HMGA2 locus and eliminate redundant tagSNPs, pairwise LD analysis was performed. All pairwise LD values among these four variants were below 0.30 (the highest LD was observed between rs10573247 and rs8756, with an LD value of 0.288), indicating that these selected variants represent distinct, non-redundant genetic variations in HMGA2. Two of these SNPs—rs8756 A>C and rs10573247 T>del—are located in the 3′ untranslated region (3′ UTR) of HMGA2, where they affect microRNA (miRNA) binding and thus modulate gene expression and mRNA stability. By contrast, the other two SNPs—rs6581658 A>G and rs968697 T>C—are located in the 5′ near-gene region, where they modify transcription factor binding and thus regulate HMGA2 transcription. In the present study, no significant linkage disequilibrium was observed among the selected SNPs (R2 < 0.8).
HMGA2 SNPs were genotyped using an ABI StepOnePlus RT-PCR system (Applied Biosystems, Foster City, CA, USA) with the following individual TaqMan SNP probes: rs6581658 (assay ID: C__44861231_10), rs10573247 (assay ID: C__63497439_20), rs968697 (assay ID: C___8702860_20), and rs8756 (assay ID: C___1155510_20). The resulting genotypes were analyzed using SDS version 3.0 (Applied Biosystems). Detailed protocols for these procedures have been described elsewhere [21].
Data for this study were obtained from the UALCAN online platform (http://ualcan.path.uab.edu; accessed February 23, 2026) [22], developed by the University of Alabama at Birmingham. This platform was used both to analyze HMGA2 mRNA and protein expression levels in normal and primary tumor tissues and to identify their associations with clinicopathological parameters, including tumor grade, in patients with head and neck squamous cell carcinoma (HNSCC). Analyses were conducted using data from The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC). Transcriptomic data from 40 Taiwanese paired OSCC and adjacent nontumor tissue specimens were analyzed using the microarray dataset GSE37991—obtained from the Gene Expression Omnibus (GEO)—to determine whether HMGA2 expression (probe ID: ILMN _1666236) is associated with OSCC tumorigenesis. HMGA2 expression and survival data for patients with HNSCC were retrieved from the KM Plotter database (accessed on February 23, 2026), and the prognostic significance of HMGA2 expression was evaluated through the Kaplan-Meier survival analysis. Finally, potential miRNAs targeting HMGA2 were identified using data from the miRDB database (http://mirdb.org/).
Demographic variables were compared between cancer-free individuals (healthy controls) and patients with TSCC by using the Mann-Whitney U test or Fisher's exact test. Logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to identify the associations of genotype frequency with TSCC susceptibility and clinicopathological parameters. Betel quid chewing, cigarette smoking, and alcohol consumption were included as covariates in the adjusted analyses. All statistical analyses were conducted using SAS (version 9.1; SAS Institute, San Francisco, CA, USA).
In this study, we examined the association between HMGA2 polymorphisms and TSCC clinicopathological features by analyzing the data of 383 Taiwanese men with TSCC (TSCC group) and 911 cancer-free individuals (control group). Their demographic and lifestyle characteristics are summarized in Table 1. Age distribution was similar between the TSCC and control groups. Analysis of lifestyle data revealed that the prevalence of betel quid chewing, alcohol consumption, and cigarette smoking was significantly higher in the TSCC group than in the control group. These findings are consistent with those from other Asian OSCC cohorts [23, 24], highlighting the aforementioned lifestyle behaviors as major environmental risk factors for TSCC carcinogenesis. Clinically, most patients with TSCC exhibited no LN involvement (60.8%) or distant metastasis (99.5%), and most tumors exhibited moderate to poor differentiation (88.8%).
Demographic characteristics of the study cohort.
| Variable | Controls (N = 911), n (%) | Patients (N = 383), n (%) | p |
|---|---|---|---|
| Age (years) | |||
| <60 | 587 (64.4) | 245 (64.0) | 0.873 |
| ≥60 | 324 (35.6) | 138 (36.0) | |
| Betel quid chewing | |||
| No | 749 (82.2) | 130 (34.0) | |
| Yes | 162 (17.8) | 253 (66.1) | <0.001* |
| Cigarette smoking | |||
| No | 402 (44.1) | 88 (23.0) | |
| Yes | 509 (55.9) | 295 (77.0) | <0.001* |
| Alcohol consumption | |||
| No | 724 (79.5) | 238 (62.1) | |
| Yes | 187 (20.5) | 145 (37.9) | <0.001* |
| Disease stage | |||
| I+II | 169 (44.1) | ||
| III+IV | 214 (55.9) | ||
| Tumor T status | |||
| T1+T2 | 196 (51.2) | ||
| T3+T4 | 187 (48.8) | ||
| LN status | |||
| N0 | 233 (60.8) | ||
| N1+N2+N3 | 150 (39.2) | ||
| Metastasis | |||
| M0 | 381 (99.5) | ||
| M1 | 2 (0.5) | ||
| Cell differentiation | |||
| Well differentiated | 43 (11.2) | ||
| Moderately or poorly differentiated | 340 (88.8) |
*p < 0.05 indicates statistical significance.
To determine whether the selected HMGA2 SNPs (rs6581658 A>G, rs10573247 T>del, rs968697 T>C, and rs8756 A>C) were associated with TSCC risk, adjusted ORs (AORs) with 95% CIs were calculated using multiple logistic regression models adjusted for betel quid chewing, cigarette smoking, and alcohol consumption. The distributions of HMGA2 genotypes revealed that the most frequent alleles were homozygous A/A for the rs6581658 and rs8756 loci and homozygous T/T for the rs10573247 and rs968697 loci (Table 2). Unlike corresponding wild-type genotypes, HMGA2 SNPs exhibited no significant difference in frequency between the TSCC and control groups.
Association between HMGA2 genotypic frequency and TSCC risk
| Variable | Controls (N = 911), n (%) | Patients (N = 383), n (%) | AOR (95% CI) | p |
|---|---|---|---|---|
| rs6581658 | ||||
| AA | 562 (61.7) | 236 (61.6) | 1.000 (reference) | |
| AG | 306 (33.6) | 134 (35.0) | 1.213 (0.908-1.621) | 0.191 |
| GG | 43 (4.7) | 13 (3.4) | 0.800 (0.390-1.641) | 0.543 |
| AG+GG | 349 (38.3) | 147 (38.4) | 1.161 (0.878-1.536) | 0.296 |
| rs10573247 | ||||
| TT/TT | 574 (63.0) | 246 (64.2) | 1.000 (reference) | |
| TT/Del | 302 (33.2) | 121 (31.6) | 0.983 (0.733-1.318) | 0.910 |
| Del/Del | 35 (3.8) | 16 (4.2) | 1.134 (0.565-2.276) | 0.723 |
| TT/Del+Del/Del | 337 (37.0) | 137 (35.8) | 0.999 (0.753-1.324) | 0.993 |
| rs968697 | ||||
| TT | 699 (76.7) | 289 (75.5) | 1.000 (reference) | |
| TC | 203 (22.3) | 90 (23.5) | 1.085 (0.786-1.498) | 0.619 |
| CC | 9 (1.0) | 4 (1.0) | 1.768 (0.486-6.436) | 0.387 |
| TC+CC | 212 (23.3) | 94 (24.5) | 1.108 (0.807-1.521) | 0.526 |
| rs8756 | ||||
| AA | 759 (83.3) | 327 (85.4) | 1.000 (reference) | |
| AC | 147 (16.1) | 52 (13.6) | 0.844 (0.574-1.241) | 0.389 |
| CC | 5 (0.6) | 4 (1.0) | 2.208 (0.486-10.021) | 0.305 |
| AC+CC | 152 (16.7) | 56 (14.6) | 0.885 (0.607-1.288) | 0.522 |
AORs and 95% CIs were estimated using multiple logistic regression models adjusted for betel quid chewing, cigarette smoking, and alcohol consumption.
TSCC, tongue squamous cell carcinoma; OR, odds ratio; CI, confidence interval; AOR, adjusted odds ratio.
To assess the clinical relevance of HMGA2 polymorphisms in TSCC, we examined the associations between HMGA2 SNPs and clinicopathological features, including primary tumor size, clinical stage, LN metastasis, and histopathological grade (Tables 3 and 4). Patients carrying the rs6581658 minor allele (AG or GG) were at significantly higher risks of presenting with an advanced clinical stage (stage III or IV; AOR = 1.661, 95% CI = 1.086-2.541, p = 0.019) and large primary tumors (>T2; AOR = 1.556, 95% CI = 1.025-2.362, p = 0.038) than were those carrying the wild-type AA genotype (Table 3). These findings suggest that rs6581658 facilitates tumor aggressiveness by promoting tumor growth or increasing aggressiveness in TSCC. Patients carrying the rs10573247 deletion polymorphism (TT/Del or Del/Del) exhibited a trend toward an increased risk of LN metastasis (p = 0.077; Table 3). By contrast, patients carrying the rs968697 minor allele (TC or CC) exhibited a protective trend against advanced clinical stage (p = 0.074) and LN metastasis (p = 0.079; Table 4).
Clinical characteristics and genotypic frequencies of HMGA2 rs6581658 and rs10573247 in patients with TSCC
| rs6581658 (N = 383) | rs10573247 (N = 383) | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | AA (N = 236), n (%) | AG+GG (N = 147), n (%) | AOR (95% CI) | p | TT/TT (N = 246), n (%) | TT/Del + Del/Del (N = 137), n (%) | AOR (95% CI) | p |
| Clinical stage | ||||||||
| I+II | 115 (48.7) | 54 (36.7) | 1.000 (reference) | 0.019* | 114 (46.3) | 55 (40.1) | 1.000 (reference) | 0.244 |
| III+IV | 121 (51.3) | 93 (63.3) | 1.661 (1.086-2.541) | 132 (53.7) | 82 (59.9) | 1.287 (0.842-1.966) | ||
| Tumor size | ||||||||
| ≤T2 | 131 (55.5) | 65 (44.2) | 1.000 (reference) | 0.038* | 128 (52.0) | 68 (49.6) | 1.000 (reference) | 0.662 |
| >T2 | 105 (44.5) | 82 (55.8) | 1.556 (1.025-2.362) | 118 (48.0) | 69 (50.4) | 1.098 (0.722-1.669) | ||
| LN metastasis | ||||||||
| No | 149 (63.1) | 84 (57.1) | 1.000 (reference) | 0.244 | 158 (64.2) | 75 (54.7) | 1.000 (reference) | 0.077 |
| Yes | 87 (36.9) | 63 (42.9) | 1.287 (0.841-1.969) | 88 (35.8) | 62 (45.3) | 1.471 (0.960-2.255) | ||
| Cell differentiation | ||||||||
| Well differentiated | 22 (9.3) | 21 (14.3) | 1.000 (reference) | 0.128 | 29 (11.8) | 14 (10.2) | 1.000 (reference) | 0.652 |
| Moderately or poorly differentiated | 214 (90.7) | 126 (85.7) | 0.608 (0.320-1.155) | 217 (88.2) | 123 (89.8) | 1.168 (0.594-2.296) | ||
AORs and 95% CIs were estimated using multiple logistic regression models adjusted for betel quid chewing, cigarette smoking and alcohol consumption.
*p < 0.05 indicates statistical significance.
TSCC, tongue squamous cell carcinoma; AOR, adjusted odds ratio; CI, confidence interval.
Clinical characteristics and genotypic frequencies of HMGA2 rs968697 and rs8756 in patients with TSCC
| rs968697 (N = 383) | rs8756 (N = 383) | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | TT (N = 289), n (%) | TC+CC (N = 94), n (%) | AOR (95% CI) | p | AA (N = 327), n (%) | AC+CC (N = 56), n (%) | AOR (95% CI) | p |
| Clinical stage | ||||||||
| I+II | 120 (41.5) | 49 (52.1) | 1.000 (reference) | 0.074 | 149 (45.6) | 20 (35.7) | 1.000 (reference) | 0.181 |
| III+IV | 169 (58.5) | 45 (47.9) | 0.651 (0.407-1.042) | 178 (54.4) | 36 (64.3) | 1.496 (0.830-2.699) | ||
| Tumor size | ||||||||
| ≤T2 | 145 (50.2) | 51 (54.3) | 1.000 (reference) | 0.448 | 166 (50.8) | 30 (53.6) | 1.000 (reference) | 0.727 |
| >T2 | 144 (49.8) | 43 (45.7) | 0.834 (0.521-1.334) | 161 (49.2) | 26 (46.4) | 0.903 (0.511-1.597) | ||
| LN metastasis | ||||||||
| No | 169 (58.5) | 64 (68.1) | 1.000 (reference) | 0.079 | 204 (62.4) | 29 (51.8) | 1.000 (reference) | 0.135 |
| Yes | 120 (41.5) | 30 (31.9) | 0.640 (0.389-1.053) | 123 (37.6) | 27 (48.2) | 1.550 (0.873-2.751) | ||
| Cell differentiation | ||||||||
| Well differentiated | 33 (11.4) | 10 (10.6) | 1.000 (reference) | 0.859 | 35 (10.7) | 8 (14.3) | 1.000 (reference) | 0.438 |
| Moderately or poorly differentiated | 256 (88.6) | 84 (89.4) | 1.071 (0.504-2.275) | 292 (89.3) | 48 (85.7) | 0.720 (0.315-1.650) | ||
AORs and 95% CIs were estimated using multiple logistic regression models adjusted for betel quid chewing, cigarette smoking and alcohol consumption.
TSCC, tongue squamous cell carcinoma; AOR, adjusted odds ratio; CI, confidence interval.
Cigarette smoking and betel quid chewing are well-established risk factors for OSCC. Exposure to these carcinogens can induce distinct molecular changes and alter gene expression profiles in the oral epithelium, thereby dysregulating the expression of various proteins and biomolecules [25]. In the present study, we examined whether betel quid chewing and cigarette smoking modify the association between HMGA2 SNPs and TSCC clinicopathological features. Stratified analysis revealed that among patients who neither chewed betel quid nor smoked, those carrying ≥1 minor allele of rs968697 were at a significantly reduced risk of LN metastasis or advanced-stage disease. However, this protective effect was not observed in patients exposed to either environmental risk factor (Tables 5 and 6). Conversely, among patients with a history of betel quid chewing or cigarette smoking, those carrying ≥1 rs10573247 deletion allele were at a significantly increased risk of LN metastasis (Tables S1 and S2). These findings underscore the complex interplay between genetic susceptibility and environmental exposure, suggesting that HMGA2 variants contribute to TSCC aggressiveness in the presence and absence of traditional risk factors. Further research is required to elucidate the biological mechanisms underlying these exposure-stratified associations. Insights from such research may inform personalized prevention strategies and targeted therapeutic approaches for genetically susceptible individuals.
Clinical characteristics and genotypic frequencies of HMGA2 rs968697 in patients with TSCC stratified by betel-quid-chewing status
| Nonchewers (N = 130) | Chewers (N = 253) | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | TT (N = 95), n (%) | TC+CC (N = 35), n (%) | AOR (95% CI) | p | TT (N = 194), n (%) | TC+CC (N = 59), n (%) | AOR (95% CI) | p |
| Clinical stage | ||||||||
| I+II | 36 (37.9) | 20 (57.1) | 1.000 (reference) | 0.062 | 84 (43.3) | 29 (49.2) | 1.000 (reference) | 0.392 |
| III+IV | 59 (62.1) | 15 (42.9) | 0.462 (0.206-1.039) | 110 (56.7) | 30 (50.8) | 0.774 (0.430-1.392) | ||
| Tumor size | ||||||||
| ≤T2 | 47 (49.5) | 20 (57.1) | 1.000 (reference) | 0.410 | 98 (50.5) | 31 (52.5%) | 1.000 (reference) | 0.721 |
| >T2 | 48 (50.5) | 15 (42.9) | 0.714 (0.320-1.591) | 96 (49.5) | 28 (47.5%) | 0.899 (0.499-1.617) | ||
| LN metastasis | ||||||||
| No | 47 (49.5) | 26 (74.3) | 1.000 (reference) | 0.016* | 122 (62.9) | 38 (64.4) | 1.000 (reference) | 0.751 |
| Yes | 48 (50.5) | 9 (25.7) | 0.345 (0.145-0.823) | 72 (37.1) | 21 (35.6) | 0.905 (0.490-1.674) | ||
| Cell differentiation | ||||||||
| Well differentiated | 11 (11.6) | 3 (8.6) | 1.000 (reference) | 0.586 | 22 (11.3) | 7 (11.9) | 1.000 (reference) | 0.865 |
| Moderately or poorly differentiated | 84 (88.4) | 32 (91.4) | 1.458 (0.375-5.674) | 172 (88.7) | 52 (88.1) | 0.924 (0.373-2.293) | ||
AORs and 95% CIs were estimated using multiple logistic regression models adjusted for cigarette smoking and alcohol consumption.
*p < 0.05 indicates statistical significance.
TSCC, tongue squamous cell carcinoma; AOR, adjusted odds ratio; CI, confidence interval.
Clinical characteristics and genotypic frequencies of HMGA2 rs968697 in patients with TSCC stratified by cigarette smoking status
| Nonsmokers (N = 88) | Smokers (N = 295) | |||||||
|---|---|---|---|---|---|---|---|---|
| Variable | TT (N = 59), n (%) | TC+CC (N = 29), n (%) | AOR (95% CI) | p | TT (N = 230), n (%) | TC+CC (N = 65), n (%) | AOR (95% CI) | p |
| Clinical stage | ||||||||
| I+II | 21 (35.6) | 18 (62.1) | 1.000 (reference) | 0.020* | 99 (43.0) | 31 (47.7) | 1.000 (reference) | 0.409 |
| III+IV | 38 (64.4) | 11 (37.9) | 0.333 (0.132-0.843) | 131 (57.0) | 34 (52.3) | 0.835 (0.480-1.452) | ||
| Tumor size | ||||||||
| ≤T2 | 28 (47.5) | 15 (51.7) | 1.000 (reference) | 0.717 | 117 (50.9) | 36 (55.4) | 1.000 (reference) | 0.510 |
| >T2 | 31 (52.5) | 14 (48.3) | 0.848 (0.347-2.072) | 113 (49.1) | 29 (44.6) | 0.830 (0.477-1.445) | ||
| LN metastasis | ||||||||
| No | 27 (45.8) | 22 (75.9) | 1.000 (reference) | 0.008* | 142 (61.7) | 42 (64.6) | 1.000 (reference) | 0.720 |
| Yes | 32 (54.2) | 7 (24.1) | 0.248 (0.089-0.693) | 88 (38.3) | 23 (35.4) | 0.900 (0.505-1.603) | ||
| Cell differentiation | ||||||||
| Well differentiated | 7 (11.9) | 2 (6.9) | 1.000 (reference) | 0.500 | 26 (11.3) | 8 (12.3) | 1.000 (reference) | 0.826 |
| Moderately or poorly differentiated | 52 (88.1) | 27 (93.1) | 1.767 (0.338-9.240) | 204 (88.7) | 57 (87.7) | 0.909 (0.390-2.120) | ||
AORs and 95% CIs were estimated using multiple logistic regression models adjusted for betel quid chewing, and alcohol consumption.
*p < 0.05 indicates statistical significance.
TSCC, tongue squamous cell carcinoma; AOR, adjusted odds ratio; CI, confidence interval.
HMGA2 polymorphisms influence gene expression in tumor cells [19]. In this study, we analyzed the TCGA-HNSCC and CPTAC-HNSCC datasets to respectively evaluate HMGA2 mRNA and protein expression in normal and HNSCC tissues and investigate its potential association with tumor aggressive tumor characteristics and prognosis. Expression levels of HMGA2 mRNA (Fig. 1A) and protein (Fig. 1B) were significantly higher in HNSCC tissues than in noncancerous tissues. Consistent with these findings, analysis of the GSE37991 dataset from the GEO database revealed that HMGA2 expression was markedly higher in OSCC specimens than in corresponding matched normal tissues from a Taiwanese OSCC N/T paired cohort with betel quid chewing and cigarette smoking habits (Fig. 1C). Furthermore, the levels of both HMGA2 transcript (Fig. 1D) and protein (Fig. 1E) were higher in patients with high-grade tumors (grades 2 or 3) than in those with low-grade tumors (grade 1). Kaplan-Meier survival analysis indicated that higher HMGA2 expression was associated with shorter overall survival in patients with HNSCC (Fig. 1F). Together, these findings indicate that HMGA2 SNPs are associated with TSCC aggressiveness, and that elevated HMGA2 expression is also correlated with tumor aggressiveness and poor prognosis in TSCC.
Clinical relevance of HMGA2 expression in patients with HNSCC. Analyses were performed using data from TCGA, CPTAC, and the GEO databases. Expression levels of HMGA2 (A) gene and (B) protein in normal and HNSCC tissues, analyzed using data from TCGA and the CPTAC. Statistical significance was determined using an unpaired t test. (C) HMGA2 gene expression levels in an OSCC normal/tumorous (N/T) paired cohort with the habits of betel quid chewing and smoking (GSE37991). Statistical significance was determined using a paired t-test. HMGA2 gene (D) and protein (E) expression in tumor tissues from patients with HNSCC stratified by tumor grade. Statistical significance was determined using an unpaired t test. Significance: ***p < 0.001 versus the control group and ##p < 0.01 and ###p < 0.001 versus patients with grade 1 or 2 tumors. (F) The correlation between HMGA2 expression and overall survival in patients with HNSCC was evaluated using the Kaplan-Meier Plotter database. Gene expression levels were dichotomized into high and low groups by using the median value as the cutoff. HR, hazard ratio; HNSCC, head and neck squamous cell carcinoma; TCGA, The Cancer Genome Atlas; GEO, Gene Expression Omnibus; CPTAC, Clinical Proteomic Tumor Analysis Consortium.
HMGA2 plays key roles in multiple aspects of cancer development, including cell proliferation [26], protection against apoptosis [27], cancer stemness [28], angiogenesis [9], metastasis mediated by EMT [29], and drug resistance [11]. Upregulated HMGA2 expression has been observed in various malignancies, including bladder [30], brain [31], colorectal [32], and breast [33] cancers, and is often associated with poor prognosis. The present study revealed that HMGA2 expression was significantly upregulated in HNSCC and OSCC cohorts and was positively associated with advanced tumor grades and poor prognosis in patients with HNSCC, supporting the oncogenic role of HMGA2 in HNSCC clinicopathological aggressiveness. OSCC is a complex disease driven by multiple genetic alterations [34]. Genetic variations such as SNPs may alter gene function and influence disease susceptibility, thereby contributing to increased cancer risk or distinct pathological characteristics. Several genetic polymorphisms have been associated with OSCC susceptibility and aggressive tumor characteristics, often in conjunction with environmental risk factors [35-37]. Although elevated HMGA2 expression contributes to OSCC aggressiveness [9], the potential interaction effects of environmental risk factors and HMGA2 polymorphisms on OSCC aggressiveness remain largely unclear. To the best of our knowledge, the present study is the first to demonstrate that HMGA2 polymorphisms are significantly associated with TSCC clinicopathological characteristics in Taiwanese patients with different lifestyle-related risk factors.
We found that carriers of the mutant G allele of rs6581658 (AG+GG) were at significantly increased risks of large tumors (>T2) and advanced clinical stage (III or IV). Among patients who neither chewed betel quid nor smoked, those carrying the rs968697 mutant C allele (TC+CC) were at significantly reduced risks of advanced clinical stage or LN metastasis. Because rs6581658 and rs968697 are located in the 5ʹ near-gene region, the nucleotide changes introduced by these SNPs may alter transcription factor-binding sites, thereby regulating HMGA2 transcription. The rs968697 CC genotype is associated with low HMGA2 expression and low high-stage tumor frequency in patients with colorectal cancer [19]. Moreover, the rs968697 TC/CC genotypes are strongly associated with a reduced risk of hepatoblastoma in men [20]. Furthermore, the rs968697 C allele was significantly associated with reduced susceptibility to gastric cancer (GC). Patients with GC carrying the C allele were less likely to present with advanced-stage disease (stage III or IV) and have longer overall survival than did those not carrying this allele. Consistently, GC tissues carrying the rs968697 TC and CC genotypes exhibited low levels of HMGA2 mRNA expression [38]. Taken together, the results of our study are consistent with those of the aforementioned studies, suggesting that the C allele of rs968697 downregulates HMGA2 expression in TSCC and subsequently inhibits disease aggressiveness in patients with TSCC. In addition to rs968697, the rs6581658 AG/GG genotypes has been associated with an increased risk of glioma in Chinese children [18]. However, whether rs6581658 polymorphisms affect HMGA2 mRNA expression remains unclear.
The deletion polymorphism rs10573247, located in the 3′ UTR region of HMGA2, has been identified as a regulatory variant that may influence mRNA stability and miRNA binding and modulate HMGA2 expression. A study demonstrated that miR-3125 exhibits a lower binding affinity for the DelTT allele than for the TT allele, whereas miR-4476 exhibits a higher binding affinity for the DelTT allele than for the TT allele [17]. Individuals carrying the TT/Del or Del/Del genotypes are at a significantly higher risk of breast cancer than are those carrying the TT/TT genotype [17]. Consistent with these findings, our results indicated that patients with TSCC carrying the rs10573247 deletion polymorphism (TT/Del or Del/Del), particularly those who smoked cigarettes and chewed betel quid, had a significantly increased risk of LN metastasis. Exposure to tobacco smoke or betel quid can lead to the widespread dysregulation of miRNAs in HNSCC [25, 39]. For instance, treatment with areca nut extract or arecoline has been demonstrated to upregulate several miRNAs (miR-23a, miR-26a, miR-26b, miR-30a-5p, miR-143, and miR-1915) and downregulate others (miR-886-3p, miR-1914, and miR-1305) in human oral fibroblasts. Betel quid chewing has been associated with miR-23a overexpression in patients with OSCC [40]. Notably, several of the aforementioned miRNAs (miR-23a, miR-26a, miR-26b, miR-143, and miR-1305) are predicted to target HMGA2 according to the miRNA target prediction database miRDB [41] (Table 7). Together, these findings suggest that the rs10573247 deletion polymorphism influences the binding of betel-quid-regulated miRNAs, thereby modulating HMGA2 expression and promoting TSCC aggressiveness. Nonetheless, this hypothesis and the precise mechanisms underlying this interaction require further investigation.
ANE- or ARE-regulated HMGA2-targeting miRNAs predicted using the miRDB database
| Target score | miRNA name | Target gene symbol | Differential expression after ANE or ARE treatment |
|---|---|---|---|
| 96 | hsa-miR-1305 | HMGA2 | Downregulation |
| 92 | hsa-miR-26a-5p | HMGA2 | Upregulation |
| 92 | hsa-miR-26b-5p | HMGA2 | Upregulation |
| 92 | hsa-miR-143-5p | HMGA2 | Upregulation |
| 67 | hsa-miR-23a-3p | HMGA2 | Upregulation |
ANE, areca nut extract; ARE, arecoline
Our study has several limitations that should be acknowledged. First, the analyzed cohorts differed in their ethnic composition. All TSCC cases included in the SNP analysis were derived from a Taiwanese population, whereas the clinicopathological associations of HMGA2 expression were evaluated using the TCGA-HNSCC and CPTAC-HNSCC cohorts, which predominantly consist of White/Caucasian individuals. Although the GSE37991 dataset was included as an independent validation cohort, it comprised only 40 Taiwanese OSCC specimens. Therefore, additional validation in larger independent Taiwanese cohorts is warranted to strengthen the clinical relevance and generalizability of our findings. Second, environmental risk factors—specifically betel quid chewing, smoking, and alcohol consumption—were evaluated as binary variables due to the lack of detailed quantitative data on exposure duration, intensity, and former versus current status. Consequently, potential dose-response interactions between lifestyle factors and HMGA2 polymorphisms could not be analyzed.
Third, although we identified potential associations between the candidate SNPs and various clinicopathological parameters, including clinical stage, tumor size (T stage), and lymph node metastasis (N status), these parameters are biologically and clinically interconnected. Because overall clinical stage is intrinsically determined by T and N categories, treating them as entirely independent endpoints may overstate the consistency of our findings. Thus, these clinicopathological evaluations might be regarded as secondary endpoints, and the observed secondary associations must be interpreted with caution until validated through comprehensive multivariable models in larger independent cohorts. In addition, although significant associations were identified, multiple testing was not formally adjusted in the present exploratory study. Therefore, some associations may represent false-positive findings arising from multiple comparisons. These results should be regarded as hypothesis-generating and require confirmation in independent cohorts.
Fourth, future studies should perform genotype-expression analyses, such as expression quantitative trait locus (eQTL) analyses, using matched DNA and RNA samples from the same TSCC patients to more accurately determine the effects of HMGA2 polymorphisms on HMGA2 expression. Such samples would also facilitate the investigation of alterations in miRNA expression associated with different lifestyle-related risk factors. Moreover, future studies involving allele-specific binding assay and luciferase reporter assay are warranted to determine whether the rs10573247 deletion polymorphism alters the binding affinity of these miRNAs to the HMGA2 3'UTR and consequently contributes to dysregulated HMGA2 expression. Finally, the lack of long-term follow-up data precluded an assessment of the prognostic significance of HMGA2 polymorphisms. Future studies with extended clinical follow-up are therefore needed to clarify their associations with patient survival and clinical outcomes.
Although HMGA2 has been implicated in cancer development, the impacts of HMGA2 genetic variation in OSCC remain largely unexplored. The novelty of the present study lies not only in identifying distinct allelic effects of rs6581658 on the clinicopathological characteristics of TSCC in a Taiwanese population, but also, importantly, in revealing exposure-stratified associations between HMGA2 polymorphisms and lifestyle-related risk factors. Specifically, rs968697 and rs10573247 were associated with TSCC aggressiveness among individuals with different exposure profiles, including betel quid chewing and cigarette smoking. These findings extend the current understanding of HMGA2 genetic variation in TSCC by suggesting that lifestyle-related exposures may modify the associations between HMGA2 polymorphisms and TSCC progression.
CIs: Confidence intervals
CPTAC: Clinical Proteomic Tumor Analysis Consortium
EMT: Epithelial-mesenchymal transition
GEO: Gene Expression Omnibus
HMGA2: High-mobility group A protein 2
HNSCC: Head and neck squamous cell carcinoma
miRNA: microRNA
OR: Odds ratio
OSCC: Oral squamous cell carcinoma
SNPs: Single-nucleotide polymorphisms
TCGA: The Cancer Genome Atlas
TSCC: Tongue squamous cell carcinoma
UTR: Untranslated region
Supplementary tables.
This research was supported by the Taipei Medical University Research Center of Cancer Translational Medicine (under the Featured Areas Research Center Program, supported by the Ministry of Education of Taiwan's Higher Education Sprout Project (awarded to M.-H. Chien) and Taipei Medical University Wan Fang Hospital (grant number: 115-wf-swf-01; awarded to M.-H. Chien, S.-F. Yang, and Y.-C. Wen).
The authors confirm their contributions to the paper as follows: study conception and design: Yu-Ching Wen, Shun-Fa Yang, and Ming-Hsien Chien; data collection: Shun-Fa Yang, and Ming-Hsien Chien; analysis and interpretation of results: Yi-Chieh Yang, Chia-Hwa Lee, and Lun-Ching Chang; draft manuscript preparation: Yi-Chieh Yang, Shun-Fa Yang, and Ming-Hsien Chien; formal analysis: Yi-Fang Ding and Chiao-Wen Lin; resources: Shun-Fa Yang. All authors reviewed the results and approved the final version of the manuscript.
The data supporting the findings of this study are available within the article and its supplementary materials. Additional original data are available from the corresponding author upon reasonable request.
Experiments involving clinical samples were approved by the Institutional Review Board of Chung Shan Medical University Hospital (approval number: CS1-21151).
The authors have declared that no competing interest exists.
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Corresponding authors: Ming-Hsien Chien, PhD, Email: d002089002edu.tw. Shun-Fa Yang, PhD, Email: ysfedu.tw. Yu-Ching Wen, MD, PhD, Email: 95207tmu.edu.tw.