Literature DB >> 29725248

HMGB1 genetic polymorphisms are biomarkers for the development and progression of breast cancer.

Bi-Fei Huang1, Huey-En Tzeng2,3,4, Po-Chun Chen5, Chao-Qun Wang1, Chen-Ming Su6, Yan Wang7, Gui-Nv Hu8, Yong-Ming Zhao8, Qian Wang1, Chih-Hsin Tang9,5,10.   

Abstract

Breast cancer is a major cause of cancer mortality worldwide. High-mobility group box protein 1 (HMGB1) is a ubiquitous nuclear protein found in all mammal eukaryotic cells that participates in tumor progression, migration and metastasis. HMGB1 overexpression has been indicated in breast cancer patients. However, scant information is available regarding the association between HMGB1 single nucleotide polymorphisms (SNPs) and the risk or prognosis of breast cancer. We report on the association between 4 SNPs of the HMGB1 gene (rs1360485, rs1045411, rs2249825 and rs1412125) and breast cancer susceptibility as well as clinical outcomes in 313 patients with breast cancer and in 217 healthy controls. Patients with one G allele in the rs1360485 or rs2249825 domains are likely to progress to T2 tumor and lymph node metastasis. In addition, the presence of one G allele in SNPs rs1360485 or rs2249825 was associated with a higher risk of progressing to T2 tumor and distant metastasis amongst HER2-enriched and triple-negative breast cancer (TNBC) tumors compared with luminal A and luminal B tumors. Furthermore, having one C allele in the rs1412125 domain increased the risk of pathologic grade 3 disease in HER2-enriched and TNBC tumors. Our results indicate that genetic variations in the HMGB1 gene may serve as an important predictor of breast cancer progression and metastasis.

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Keywords:  Breast cancer; HMGB1 polymorphisms; Single nucleotide polymorphism; Susceptibility

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Year:  2018        PMID: 29725248      PMCID: PMC5930459          DOI: 10.7150/ijms.23462

Source DB:  PubMed          Journal:  Int J Med Sci        ISSN: 1449-1907            Impact factor:   3.738


Introduction

Breast cancer is associated with high mortality. Over a million women worldwide are diagnosed with breast cancer every year and over 500,000 succumb to the disease 1. Risk factors associated with breast cancer in women include age, family history, reproductive and gynecologic factors, as well as lifestyle factors such as alcohol consumption and lack of physical activity, amongst others 2. Women who are at high risk of breast cancer may be advised to maintain their mammography screening schedule, undergo genetic testing, or commence chemoprevention. Current statistical models for estimating breast cancer risk have limited sensitivity and specificity 2. Researchers have therefore explored genetic variation associated with breast cancer risk, in order to determine whether single nucleotide polymorphism (SNP) genotyping will more accurately stratify breast cancer risk and guide disease management. Emerging reports indicate an association between SNPs in certain genes and susceptibility to breast cancer, as well as clinicopathologic status. Besides the recognized BRCA1 and BRCA2 mutations that markedly increase the risk of developing breast cancer 3, 4, a number of additional low- and moderate-risk susceptibility variants have been identified, including caspase-8 (CASP8), an enzyme involved in apoptosis 5. High-mobility group box protein 1 (HMGB1) is a ubiquitous nuclear protein that has been discovered in mammals 6, 7. HMGB1 contains DNA binding domains and contributes to DNA repair and the stabilization of nuclear homeostasis 8. HMGB1 is usually localized in the cell nucleus and is secreted into the extracellular environment in response to different stimuli; either passively during cellular apoptosis or necrosis, or actively following inflammatory signals from activated immune cells or neuronal cells 9. It has been reported HMGB1 SNPs controls with rheumatoid arthritis disease outcome 10. Previous research has confirmed the association of HMGB1 SNPs with the susceptibility and progression of disease, such as hepatocellular carcinoma 11, lung cancer 12 and uterine cervical neoplasia 13. An increase in HMGB1 levels in response to neoadjuvant chemotherapy has been found to be a prognostic marker of survival in early breast cancer patients 14 and recent research has demonstrated a cumulative impact of multiple risk-associated polymorphisms in the HMGB1/receptor for advanced glycation end products (HMGB1/RAGE) pathway upon breast cancer progression 15. However, the association between HMGB1 SNPs and breast cancer risk, prognosis, metastasis and clinical aspects is unclear. We therefore conducted a case-control study to evaluate the role of HMGB1 SNPs in breast cancer susceptibility and clinicopathologic features in a cohort of Chinese Han individuals.

Materials and Methods

Participants

Between 2014 and 2016, we collected 313 blood specimens from patients (cases) who had been diagnosed with breast cancer at Dongyang People's Hospital. The control group consisted of 217 healthy participants without a history of cancer. All participants provided written informed consent, and the study was approved by the Ethics Committee of Dongyang People's Hospital. Pathohistologic diagnosis followed the World Health Organization classification of breast tumors and tumors were graded using the Scarff-Bloom-Richardson method 16. Breast cancer cases were categorized by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki‐67 status into 4 subtypes : Luminal A (ER+ and/or PR+, HER2-, Ki‐67 <14%); Luminal B (ER+ and/or PR+, HER2-, Ki‐67 ≥14%; or ER+ and/or PR+, HER2+); HER2‐enriched (ER-, PR-, HER2+); or TNBC (ER-, PR-, HER2-) 17-19. Demographic data on age, sex, smoking history and alcohol consumption were obtained from a standardized questionnaire and electronic medical records.

SNP selection

SNP rs2249825 (3814C/G; genomic number 31,037,903) near the exon, rs1360485 (3′UTR, T/C; genomic number 31,031,884) in the 3′ untranslated region, SNP rs1412125 (-1615T/C; genomic number 31,041,595) in the promoter region and rs1045411 (2262C/T; genomic number 31,033,232) in the exon were selected according to Chinese HapMap data and previous studies 13, 20. The minor allele frequencies of these SNPs were all ≥5 %.

Determination of genotypes

Total genomic DNA was isolated from whole blood specimens using QIAamp DNA blood mini kits (Qiagen, Valencia, CA), as per the manufacturer's instructions. DNA was dissolved in a Tris-EDTA (TE) buffer containing 10 mM Tris-HCl, 1 mM EDTA Na2 (pH 7.8) and stored at -20°C until it was subjected to quantitative polymerase chain reaction (PCR) analysis. Four HMGB1 SNPs (rs1360485, rs1045411, rs2249825 and rs1412125) were examined with the use of a commercially available TaqMan SNP genotyping assay (Applied Biosystems, Warrington, UK), according to the manufacturer's protocols 21, 22.

Statistical analysis

The genotype distribution of each SNP was analyzed for Hardy-Weinberg equilibrium and confirmed by Chi-square analysis. Demographic characteristics were compared between patients and controls using the Mann-Whitney U-test and Fisher's exact test. Associations between genotypes, breast cancer risk and clinicopathologic characteristics were estimated using adjusted odds ratios (AORs) and 95% confidence intervals (CIs), after controlling for other covariates. Significant differences in haplotype frequencies between cases and controls were analyzed using Haploview, according to the software package 23. A p value of < 0.05 was considered statistically significant. Data were analyzed using SAS statistical software (Version 9.1, 2005; SAS Institute Inc., Cary, NC).

Results

Sociodemographic characteristics and clinical parameters for all study participants are shown in Table 1. Significant between-group differences were observed for age, tobacco use and alcohol consumption (p < 0.05). Most patients (76.7%) had stage I/II breast cancer; 23.3% had stage III/IV disease (Table 1). In addition, the majority of patients were ER-negative (69.6%) or HER2-positive (63.6%) (Table 1).
Table 1

Baseline demographic and clinical characteristics of the study population.

VariableControls (n=217) N (%)Patients (n=313)N (%)p value
Age (years)Mean ± S.D.Mean ± S.D.
43.4±17.153.2±11.4< 0.001*
Alcohol consumption
No176 (81.1)294 (93.9)< 0.05
Yes41 (18.9)19 (6.1)
Tobacco consumption
No187 (86.2)311 (99.4)< 0.05
Yes30 (13.8)2 (0.6)
Clinical stage
I-II240 (76.7)
III-IV73 (23.3)
Tumor T status
≤T2297 (94.9)
>T216 (5.1)
Lymph node status
N0160 (51.1)
>N0153 (48.9)
Distant metastasis
M0303 (96.8)
M110 (3.2)
Histologic grade
G1+G2187 (59.7)
G3125 (39.9)
ER status
Positive95 (30.4)
Negative218 (69.6)
PR status
Positive144 (46)
Negative169 (54)
HER2
Positive199 (63.6)
Negative114 (36.4)

S.D. = standard deviation; T = primary tumor; T1 = tumor ≤5 cm; T2 = tumor >5 cm; N0 = no regional lymph node metastasis; M0 = no clinical or radiographic evidence of distant metastasis; M1 = distant detectable metastases as determined by classic clinical and radiographic means and/or histologically proven >0.2 mm; G1 = well differentiated; G2 = moderately differentiate; G3 = poorly differentiated; ER = estrogen receptor; PR = progesterone receptor; HER2 = human epidermal growth factor receptor 2.

The Mann-Whitney U test or Fisher's exact test was used to compare values between controls and patients with breast cancer. * p value < 0.05 was considered statistically significant.

HMGB1 genotype distribution patterns for all participants are shown in Table 2. In the healthy controls, all genotypic frequencies were in Hardy-Weinberg equilibrium (p > 0.05). In both patients and controls, most of those with the rs1360485, rs1045411, rs2249825 and rs1412125 SNPs were, respectively, homozygous for A/A, homozygous for G/G, homozygous for C/C, and homozygous for T/T alleles (Table 2). In analyses adjusted for potential confounders, there were no significant differences between cases and controls in regard to the frequency of each of the 4 studied polymorphisms (Table 2).
Table 2

Distribution frequencies of HMGB1 genotypes and 4 SNP alleles in controls and patients with breast cancer.

VariableControls (n=217) N (%)Patients (n=313) N (%)OR (95% CI)p valueAORa (95% CI)p value
rs1360485
AA131 (60.4)191 (61.0)1.00 (reference)1.00 (reference)
AG71 (32.7)99 (31.6)0.956 (0.656-1.395)0.820.947 (0.636-1.412)0.79
GG15 (6.9)23 (7.3)1.052 (0.529-2.091)0.891.020 (0.496-2.098)0.96
AA131 (60.4)191 (61.0)1.00 (reference)1.00 (reference)
AG+GG86 (39.6)122 (39.0)0.973 (0.683-1.387)0.880.949 (0.654-1.378)0.78
A333 (76.7)481 (76.8)1.00 (reference)1.00 (reference)
G101 (23.3)145 (23.2)0.994 (0.744-1.328)0.970.995 (0.664-1.491)0.98
rs1045411
GG132 (60.8)200 (63.9)1.00 (reference)1.00 (reference)
GA75 (34.6)90 (28.8)0.792 (0.543-1.155)0.230.763 (0.513-1.135)0.18
AA10 (4.6)23 (7.3)1.518 (0.700-3.293)0.291.551 (0.677-3.558)0.3
GG132 (60.8)200 (63.9)1.00 (reference)1.00 (reference)
GA+AA85 (39.2)113 (36.1)0.877 (0.614-1.254)0.470.845 (0.581-1.230)0.38
G339 (78.1)490 (78.3)1.00 (reference)1.00 (reference)
A95 (21.9)136 (21.7)0.990 (0.736-1.332)0.951.082 (0.708-1.653)0.72
rs2249825
CC163 (75.1)214 (68.4)1.00 (reference)1.00 (reference)
CG48 (22.1)91 (29.1)1.444 (0.963-2.164)0.071.354 (0.885-2.070)0.16
GG6 (2.8)8 (2.6)1.016 (0.346-2.984)0.981.015 (0.323-3.189)0.98
CC163 (75.1)214 (68.4)1.00 (reference)1.00 (reference)
CG+GG54 (24.9)99 (31.6)1.396 (0.946-2.061)0.091.313 (0.873-1.977)0.19
C374 (86.2)519 (82.9)1.00 (reference)1.00 (reference)
G60 (13.8)107 (17.1)1.285 (0.912-1.811)0.151.177 (0.737-1.879)0.5
rs1412125
TT132 (60.8)170 (54.3)1.00 (reference)1.00 (reference)
TC70 (32.3)122 (39.0)1.353 (0.933-1.962)0.111.306 (0.884-1.931)0.18
CC15 (6.9)21 (6.7)1.087 (0.540-2.190)0.821.131 (0.533-2.398)0.75
TT132 (60.8)170 (54.3)1.00 (reference)1.00 (reference)
TC+CC85 (39.2)143 (45.7)1.306 (0.919-1.857)0.141.266 (0.873-1.835)0.21
T334 (77)462 (73.8)1.00 (reference)1.00 (reference)
C100 (23)164 (26.2)1.186 (0.891-1.578)0.241.267 (0.851-1.885)0.24

OR = odds ratio; AOR = adjusted odds ratio; CI = confidence interval.

a Logistic regression analysis adjusted for age, tobacco and alcohol consumption.

Next, we compared the distributions of clinical aspects and HMGB1 genotypes amongst cases. We found that patients with one G allele in the rs1360485 SNP (AOR 2.466; 95% CI: 1.068-5.694), one G allele in the rs2249825 SNP (AOR 3.264; 95% CI: 1.330-8.011), or one C allele in the rs1412125 SNP (AOR 2.702; 95% CI: 1.181-6.182) were more likely to progress to T2 breast cancer (Table 3). Patients with one G allele in the rs1360485 SNP (AOR 1.444; 95% CI: 0.944-2.207), one A allele in the rs1045411 (AOR 1.443; 95% CI: 0.935-2.228, or one G allele in the rs2249825 (AOR 1.515; 95% CI: 0.937-2.448) were at increased risk of developing lymph node metastasis disease (N2+N3) (Table 3).
Table 3

Association of HMGB1 alleles and 4 SNPs with the development and progression of breast cancer.

AllelePatients (n=626) N (%)
Clinical stageTumor sizeLymph node metastasisDistant metastasisPathologic grade
Stage I/IIStage III/IV≦T2>T2N0+N1N2+N3M0M1G1+G2G3
rs1360485
A366 (76.1)114 (78.6)462 (96.0)132 (91.0)250 (52.0)70 (48.3)469 (97.5)137 (94.5)333 (69.5)99 (68.3)
G115 (23.9)31 (21.4)19 (4.0)13 (9.0)231 (48.0)75 (51.7)12 (2.5)8 (5.5)146 (30.5)46 (31.7)
OR (95% CI)10.865(0.552-1.356)1.002.395 (1.152-4.977)*1.001.160 (0.800-1.681)1.002.282(0.914-5.696)1.001.060(0.710-1.581)
AOR (95% CI)a10.861(0.513-1.446)1.002.466 (1.068-5.694)*1.001.444 (0.944-2.207)*1.002.480(0.824-7.458)1.000.746 (0.464-1.199)
rs1045411
G369 (75.3)111 (81.6)467 (95.3)127 (93.4)254 (51.8)66 (48;5)477 (97.3)129 (94.9)337 (69.1)95 (69.9)
A121 (24.7)25 (18.4)23 (4.7)9 (6.6)236 (48.2)70 (51.5)13 (2.7)7 (5.1)151 (30.9)41 (30.1)
OR (95% CI)10.687(0.425-1.110)1.001.439 (0.650-3.187)1.001.141 (0.781-1.669)1.001.991(0.778-5.093)1.000.963(0.637-1.456)
AOR (95% CI)10.704(0.406-1.221)1.001.521 (0.625-3.700)1.001.443 (0.935-2.228)*1.002.245(0.741-6.804)1.000.673 (0.412-1.098)
rs2249825
C395 (76.1)85 (79.4)498 (96.0)96 (89.7)271 (52.2)49 (45.8)504 (97.1)102 (95.3)359 (69.4)73 (68.2)
G124 (23.9)22 (20.6)21 (4.0)11 (10.3)248 (47.8)58 (54.2)15 (2.9)5 (4.7)158 (30.6)34 (31.8)
OR (95% CI)10.824(0.495-1.374)1.002.717 (1.269-5.819)*1.001.293 (0.8522-1.964)1.001.647 (0.586-4.633)1.001.058 (0..676-1.656)
AOR (95% CI)10.860(0.472-1.570)1.003.264 (1.330-8.011)*1.001.515 (0.937-2.448)*1.002.159(0.637-7.324)1.000.827 (0.484-1.414)
rs1412125
T358 (77.5)122 (74.4)444 (96.1)150 (91.5)236 (51.1)84 (51.2)447 (96.8)159 (97)324 (70.3)108 (66.3)
C104 (22.5)42 (25.6)18 (3.9)14 (8.5)226 (48.9)80 (48.8)15 (3.2)5 (3.0)137 (297)55 (33.7)
OR (95% CI)11.185(0.784-1.791)1.002.302 (1.118-4.742)*1.000.995 (0.696-1.420)1.000.937 (0.335-2.620)1.001.204 (0.823-1.763)
AOR (95% CI)11.370(0.841-2.231)1.002.702 (1.181-6.182)*1.001.086 (0.721-1.636)1.001.145 (0.365-3.592)1.001.170 (0.741-1.847)

HMGB1 = high-mobility group box protein 1; SNPs = single nucleotide polymorphisms; T2 = tumor >20 mm but ≤50 mm in greatest dimension; N0 = no regional lymph node metastasis; N1 = metastasis to movable ipsilateral level I, II axillary lymph node(s); N2 = metastases in ipsilateral level I, II axillary lymph nodes that are clinically fixed or matted or in clinically detected ipsilateral internal mammary nodes in the absence of clinically evident axillary lymph node metastasis; N3 = Metastases in ipsilateral infraclavicular (level III axillary) lymph node(s), with or without level I, II axillary node involvement, or in clinically detected ipsilateral internal mammary lymph node(s) and in the presence of clinically evident level I, II axillary lymph node metastasis; or metastasis in ipsilateral supraclavicular lymph node(s), with or without axillary or internal mammary lymph node involvement; M0 = no clinical or radiographic evidence of distant metastasis; M1 = distant detectable metastases as determined by classic clinical and radiographic means and/or histologically proven >0.2 mm; G1 = well differentiated; G2 = moderately differentiated; G3 = poorly differentiated.

a The odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated using logistic regression adjusted for age, tobacco and alcohol consumption.

* p value < 0.05 was considered statistically significant.

In an analysis of clinical aspects and HMGB1 genotypic frequencies in different breast cancer subtypes, we found no significant differences between cases and controls in regard to the frequency of HMGB1 polymorphisms (Table 4).
Table 4

Allele frequencies of 4 HMGB1 SNPs in controls and patients with breast cancer.

AlleleLuminal A + Luminal BHER2 + TNBC
VariableControls (n=434)N (%)Patients (n=438) N (%)OR (95% CI)AOR (95% CI)Patients (n=188) N (%)OR (95% CI)AOR (95% CI)
rs1360485
A333 (76.7)339 (77.4)1.000.963 (0.702-1.320)142 (75.5)1.001.068 (0.716-1.594)
G101 (23.3)99 (22.6)1.000.948 (0.683-1.318)46 (24.5)1.001.022 (0.677-1.542)
rs1045411
G339 (78.1)343 (78.3)1.000.988 (0.717-1.363)147 (78.2)1.000.995 (0.658-1.506)
A95 (21.9)95 (21.7)1.000.971 (0.695-1.358)41 (21.8)1.000.953 (0.623-1.459)
rs2249825
C374 (86.2)365 (83.3)1.001.247 (0.860-1.806)154 (81.9)1.001.376 (0.868-2.181)
G60 (13.8)73 (16.7)1.001.188 (0.808-1.747)34 (18.1)1.001.284 (0.799-2.062)
rs1412125
T334 (77.0)321 (73.3)1.001.217 (0.895-1.656)141 (75)1.001.113 (0.747-1.659)
C100 (23.0)117 (26.7)1.001.208 (0.876-1.667)47 (25)1.001.095 (0.726-1.652)

The odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated using logistic regression models. AOR = adjusted odds ratio.

* p value < 0.05 was considered statistically significant.

In HER2 and TNBC subtypes, patients with one G allele in the rs1360485 SNP (AOR 6.061; 95% CI: 2.190-16.774), one A allele in the rs1045411 SNP (AOR 3.321; 95% CI: 1.216-9.068), one G allele in the rs2249825 SNP (AOR 5.800; 95% CI: 2.098-16.033), or one C allele in the rs1412125 SNP (AOR 5.849; 95% CI: 2.116-16.165) were likely to progress to T2 breast cancer (Table 5). Individuals with one G allele in the rs1360485 SNP (AOR 4.918; 95% CI: 1.479-16.353), or one A allele in the rs1045411 SNP (OR 5.847; 95% CI: 1.749-19.551) were likely to progress to distant metastatic disease (Table 5). Furthermore, the presence of one C allele in the rs1412125 SNP (AOR 2.112; 95% CI: 1.028-4.341) increased the likelihood of developing pathologic grade (G3) disease (Table 5).
Table 5

Allele frequencies of 4 HMGB1 SNPs and their association with clinical status in patients with breast cancer.

GeneHER2 + TNBC (N=188) n (%)
AlleClinical StageTumor sizeLymph node metastasisDistant metastasisPathological grade
Stage I/IIStage III/IVOR (95% CI)≦T2> T2OR (95% CI)N0+N1N2+N3OR (95% CI)M0M1OR (95% CI)G1+G2G3OR (95% CI)
rs1360485
A107 (75.4)31 (67.4)1.00 (reference)135 (95.1)35 (76.1)1.00 (reference)69 (48.6)19 (41.3)1.00 (reference)137 (96.5)39 (84.8)1.00 (reference)57 (40.1)19 (41.3)1.00 (reference)
G35 (24.6)15 (32.6)1.48 (0.72-3.06)7 (4.9)11 (23.9)6.06 (2.19-16.77)*73 (51.4)27 (58.7)1.34 (0.69-2.63)5 (3.5)7 (15.2)4.92 (1.48-16.35)*85 (59.9)27 (58.7)0.95 (0.49-1.87)
rs1045411
G109 (74.1)29 (70.7)1.00 (reference)137 (93.2)33 (80.5)1.00 (reference)73 (49.7)15 (36.6)1.00 (reference)142 (96.6)34 (82.9)1.00 (reference)58 (39.5)18 (43.9)1.00 (reference)
A38 (25.9)12 (29.3)1.19 (0.55-2.56)10 (6.8)8 (19.5)3.32 (1.22-9.07)*74 (50.3)26 (63.4)1.71 (0.84-3.49)5 (3.4)7 (17.1)5.85 (1.75-19.55)*89 (60.5)23 (56.1)0.83 (0.41-1.68)
rs2249825
C115 (74.7)23 (67.6)1.00 (reference)145 (94.2)25 (73.5)1.00 (reference)77 (50.0)11 (32.4)1.00 (reference)146 (94.8)30 (88.2)1.00 (reference)61 (39.6)15 (44.1)1.00 (reference)
G39 (25.3)11 (32.4)1.41 (0.63-3.16)9 (5.8)9 (26.5)5.80 (2.10-16.03)*77 (50.0)23 (67.6)2.09 (0.95-4.58)8 (5.2)4 (11.8)2.43 (0.69-8.60)93 (60.4)19 (17.0)0.83 (0.39-1.76)
rs1412125
T105 (74.5)33 (70.2)1.00 (reference)134 (95.0)36 (76.6)1.00 (reference)62 (44.0)26 (55.3)1.00 (reference)132 (93.6)44 (93.6)1.00 (reference)63 (44.7)13 (27.7)1.00 (reference)
C36 (25.5)12 (29.8)1.24 (0.6-2.57)7 (5.0)11 (23.4)5.85 (2.12-16.17)*79 (56.0)21 (44.7)0.63 (0.33-1.23)9 (6.4)3 (6.4)1.00 (0.26-3.86)78 (55.3)34 (72.3)2.11 (1.03-4.34)*

The odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated using logistic regression models, age, tobacco and alcohol consumption.

SNP = single nucleotide polymorphism; HMGB1 = high-mobility group box protein 1; HER2 = human epidermal growth factor receptor 2; TNBC = triple-negative breast cancer; T2 = tumor >20 mm but ≤50 mm in greatest dimension; N0 = no regional lymph node metastasis; N1 = metastasis to movable ipsilateral level I, II axillary lymph node(s); N2 = metastases in ipsilateral level I, II axillary lymph nodes that are clinically fixed or matted or in clinically detected ipsilateral internal mammary nodes in the absence of clinically evident axillary lymph node metastasis; N3 = Metastases in ipsilateral infraclavicular (level III axillary) lymph node(s), with or without level I, II axillary node involvement, or in clinically detected ipsilateral internal mammary lymph node(s) and in the presence of clinically evident level I, II axillary lymph node metastasis; or metastasis in ipsilateral supraclavicular lymph node(s), with or without axillary or internal mammary lymph node involvement; M0 = no clinical or radiographic evidence of distant metastasis; M1 = distant detectable metastases as determined by classic clinical and radiographic means and/or histologically proven >0.2 mm; G1 = well differentiated; G2 = moderately differentiated; G3 = poorly differentiated.

* p value < 0.05 was considered statistically significant.

Discussion

HMGB1 plays multiple roles inside and outside cells, such as chromatin stabilization, DNA repair, gene transcription, program cell death regulation, and immune response. The HMGB1 gene has been implicated in tumor progression in various types of cancer such as colon, liver, breast, oral, and lung cancer 11, 24-26. Previous research has indicated that HMGB1 plays a role in breast cancer progression and metastasis 14, 27 and that inhibiting HMGB1 expression with quercetin promotes apoptosis in human breast adenocarcinoma cells 28. These results suggest that HMGB1 knockdown might be a valuable therapeutic strategy for breast cancer. Breast cancer is the most commonly diagnosed neoplasm and the third leading cause of cancer-associated mortality in the United States, with 22.2 mortalities per 100,000 women associated with breast cancer each year 29. The 5-year relative survival rate for breast cancer has gradually increased since the early 1990s; between 2007 and 2011 it was ~89.2% 29. The prognosis of patients with breast cancer is critically dependent on the disease stage at the time of diagnosis. Therefore, it is important to increase screening rates and genetic testing for hereditary breast cancer, to increase the chances of early diagnosis 30, 31. The current study is the first to examine the distribution of the rs1360485, rs1045411, rs2249825 and rs1412125 SNPs and their possible association with breast cancer development. We also investigated the associations of these HMGB1 SNPs with clinical status, clinical pathologic markers, and susceptibility for breast cancer. In analyses adjusted for potential confounding factors, there were no significant differences between cases and controls in regard to the frequency of rs1360485, rs1045411, rs2249825 and rs1412125 polymorphisms. However, the presence of one G allele in the rs1360485 SNP, one G allele in the rs2249825 SNP, or one C allele in the rs1412125 SNP increased the likelihood of developing T2 breast cancer. Moreover, having one G allele in the rs1360485 SNP, one A allele in the rs1045411 SNP, or one G allele in the rs2249825 SNP was associated with a higher likelihood of developing lymph node metastatic disease. These results indicate that HMGB1 SNPs contribute to tumor size and lymph node metastasis in breast cancer patients. This study found that having one G allele in the rs1360485 SNP or one G allele in the rs2249825 SNP increased the risk of developing T2 breast cancer and distant metastasis in HER2 and TNBC subtypes when compared with luminal A and luminal B subgroups. Similarly, having one G allele in the rs2249825 or one C allele in the rs1412125 increases the risk of developing T2 breast cancer in HER2 and TNBC breast cancer subtypes. It is already established that overexpression of the HMGB1 gene is implicated in the development, invasion and metastasis of breast cancer 32. In addition, HMGB1 is involved in the chemotherapeutic resistance of breast cancer cells 33, 34. However, more research is required to determine whether an association exists among advanced-stage disease, HMGB1 expression levels and HMGB1 genotype, and clarification is needed in regard to the effects of the HMGB1 genotype on breast cancer risk. In conclusion, our results demonstrate an association between HMGB1 gene variants and the risk of breast cancer. However, we dose not recruited the survival results of breast cancer patients. Future research could evaluate the association of HMGB1 polymorphisms with survival of breast cancer patients. We show that HMGB1 gene variants significantly increase the risk of developing T2 breast cancer and lymph node metastasis among Chinese Han females. This study indicates a correlation exists between HMGB1 polymorphisms and breast cancer risk. HMGB1 may therefore serve as a predictive marker for breast cancer therapy.
  34 in total

Review 1.  Structural features of the HMG chromosomal proteins and their genes.

Authors:  M Bustin; D A Lehn; D Landsman
Journal:  Biochim Biophys Acta       Date:  1990-07-30

Review 2.  National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines for Lung Cancer Screening.

Authors:  Douglas E Wood
Journal:  Thorac Surg Clin       Date:  2015-01-28       Impact factor: 1.750

3.  Tissue specificity of nucleo-cytoplasmic distribution of HMG1 and HMG2 proteins and their probable functions.

Authors:  M I Mosevitsky; V A Novitskaya; M G Iogannsen; M A Zabezhinsky
Journal:  Eur J Biochem       Date:  1989-11-06

Review 4.  Assessing women at high risk of breast cancer: a review of risk assessment models.

Authors:  Eitan Amir; Orit C Freedman; Bostjan Seruga; D Gareth Evans
Journal:  J Natl Cancer Inst       Date:  2010-04-28       Impact factor: 13.506

5.  Macrophage migration inhibitory factor promotes breast cancer metastasis via activation of HMGB1/TLR4/NF kappa B axis.

Authors:  Wei Lv; Na Chen; Yanliang Lin; Hongyan Ma; Yongwei Ruan; Zhiwei Li; Xungeng Li; Xiaohua Pan; Xingsong Tian
Journal:  Cancer Lett       Date:  2016-03-04       Impact factor: 8.679

Review 6.  Highly penetrant hereditary cancer syndromes.

Authors:  Rebecca Nagy; Kevin Sweet; Charis Eng
Journal:  Oncogene       Date:  2004-08-23       Impact factor: 9.867

Review 7.  The interaction between HMGB1 and TLR4 dictates the outcome of anticancer chemotherapy and radiotherapy.

Authors:  Lionel Apetoh; François Ghiringhelli; Antoine Tesniere; Alfredo Criollo; Carla Ortiz; Rosette Lidereau; Christophe Mariette; Nathalie Chaput; Jean-Paul Mira; Suzette Delaloge; Fabrice André; Thomas Tursz; Guido Kroemer; Laurence Zitvogel
Journal:  Immunol Rev       Date:  2007-12       Impact factor: 12.988

8.  Cancer-associated fibroblasts induce high mobility group box 1 and contribute to resistance to doxorubicin in breast cancer cells.

Authors:  Kamolporn Amornsupak; Tonkla Insawang; Peti Thuwajit; Pornchai O-Charoenrat; Suzanne A Eccles; Chanitra Thuwajit
Journal:  BMC Cancer       Date:  2014-12-15       Impact factor: 4.430

9.  Association of HMGB1 Gene Polymorphisms with Lung Cancer Susceptibility and Clinical Aspects.

Authors:  Weiwei Hu; Po-Yi Liu; Yi-Chen Yang; Po-Chun Chen; Chen-Ming Su; Chia-Chia Chao; Chih-Hsin Tang
Journal:  Int J Med Sci       Date:  2017-09-19       Impact factor: 3.738

10.  Prognostic value of HMGB1 in early breast cancer patients under neoadjuvant chemotherapy.

Authors:  Ruth Exner; Monika Sachet; Tobias Arnold; Mercedes Zinn-Zinnenburg; Anna Michlmayr; Peter Dubsky; Rupert Bartsch; Guenther Steger; Michael Gnant; Michael Bergmann; Thomas Bachleitner-Hofmann; Rudolf Oehler
Journal:  Cancer Med       Date:  2016-07-25       Impact factor: 4.452

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  10 in total

1.  Circular RNA hsa_circ_0005909 modulates osteosarcoma progression via the miR-936/HMGB1 axis.

Authors:  Shuai Ding; Guangquan Zhang; Yanzheng Gao; Shulian Chen; Chen Cao
Journal:  Cancer Cell Int       Date:  2020-07-13       Impact factor: 5.722

2.  HMGB1 Promotes Prostate Cancer Development and Metastasis by Interacting with Brahma-Related Gene 1 and Activating the Akt Signaling Pathway.

Authors:  Dao-Jun Lv; Xian-Lu Song; Bin Huang; Yu-Zhong Yu; Fang-Peng Shu; Chong Wang; Hong Chen; Hai-Bo Zhang; Shan-Chao Zhao
Journal:  Theranostics       Date:  2019-07-09       Impact factor: 11.556

3.  Impact of WNT1-inducible signaling pathway protein-1 (WISP-1) genetic polymorphisms and clinical aspects of breast cancer.

Authors:  Yan Wang; Shi-Hui Yang; Ping-Wen Hsu; Szu-Yu Chien; Chao-Qun Wang; Chen-Ming Su; Xiao-Fang Dong; Yong-Ming Zhao; Chih-Hsin Tang
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

4.  miR-142-3p reduces the viability of human cervical cancer cells by negatively regulating the cytoplasmic localization of HMGB1.

Authors:  Hui Dong; Jie Song
Journal:  Exp Ther Med       Date:  2021-01-14       Impact factor: 2.447

Review 5.  Functional Role of Mitochondrial DNA in Cancer Progression.

Authors:  Yang-Hsiang Lin; Siew-Na Lim; Cheng-Yi Chen; Hsiang-Cheng Chi; Chau-Ting Yeh; Wey-Ran Lin
Journal:  Int J Mol Sci       Date:  2022-01-31       Impact factor: 5.923

6.  No association between HMGB1 polymorphisms and cancer risk: evidence from a meta-analysis.

Authors:  Xing-Yan Li; Chun-Hua Liang; Ye-Jing Yang; Lei Liu; Yong-Jun Du; Hong-Suo Liang; Lin Li; Bo Zhang; Jian-Min Li; Jin-Min Zhao
Journal:  Biosci Rep       Date:  2018-09-05       Impact factor: 3.840

7.  Association of variations in platinum resistance-related genes and prognosis in lung cancer patients.

Authors:  Yuan-Kang Zhou; Xiang-Ping Li; Ji-Ye Yin; Ting Zou; Zhan Wang; Ying Wang; Lei Cao; Juan Chen; Zhao-Qian Liu
Journal:  J Cancer       Date:  2020-04-27       Impact factor: 4.207

8.  Impacts of RETN genetic polymorphism on breast cancer development.

Authors:  Chao-Qun Wang; Chih-Hsin Tang; Huey-En Tzeng; Lulu Jin; Jin Zhao; Le Kang; Yan Wang; Gui-Nv Hu; Bi-Fei Huang; Xiaoni Li; Yong-Ming Zhao; Chen-Ming Su; Hong-Chuan Jin
Journal:  J Cancer       Date:  2020-02-20       Impact factor: 4.207

9.  The Impact of HMGB1 Polymorphisms on Prostate Cancer Progression and Clinicopathological Characteristics.

Authors:  Ying-Erh Chou; Po-Jen Yang; Chia-Yen Lin; Yen-Yu Chen; Whei-Ling Chiang; Pei-Xuan Lin; Zih-Yun Huang; Matthew Huang; Yung-Chuan Ho; Shun-Fa Yang
Journal:  Int J Environ Res Public Health       Date:  2020-10-03       Impact factor: 3.390

10.  Prognostic and Genomic Analysis of Proteasome 20S Subunit Alpha (PSMA) Family Members in Breast Cancer.

Authors:  Chung-Chieh Chiao; Yen-Hsi Liu; Nam Nhut Phan; Nu Thuy An Ton; Hoang Dang Khoa Ta; Gangga Anuraga; Do Thi Minh Xuan; Fenny Fitriani; Elvira Mustikawati Putri Hermanto; Muhammad Athoillah; Vivin Andriani; Purity Sabila Ajiningrum; Yung-Fu Wu; Kuen-Haur Lee; Jian-Ying Chuang; Chih-Yang Wang; Tzu-Jen Kao
Journal:  Diagnostics (Basel)       Date:  2021-11-27
  10 in total

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