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Babu G, Bin Islam S, Khan MA. A review on the genetic polymorphisms and susceptibility of cancer patients in Bangladesh. Mol Biol Rep 2022; 49:6725-6739. [PMID: 35277785 DOI: 10.1007/s11033-022-07282-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 10/18/2022]
Abstract
Cancer is one of the major health burdens worldwide, and genetic polymorphisms in individuals are closely associated with cancer susceptibility. Like in many other developing countries, the risk of cancer is increasing among Bangladeshi population. Genetic polymorphisms in xenobiotic metabolic enzymes (CYP1A1, CYP2A6, CYP3A4, CYP3A5, NAT2, SULT1A), cell cycle regulatory proteins (TP53, HER2, MDM2, miR-218-2, TGFB), cell signaling protein (CDH1), DNA repair proteins (BRCA1, BRCA2, EXO1, RAD51, XRCC2, ECCR1, ERCC4, XPC, ERCC2), and others (HLA-DRB1, INSIG2, GCNT1P5) have been found to be associated with various cancers like cancers of breast, bladder, cervix, colon, lung, prostate, etc. in different studies with Bangladeshi population. In this review article, we have discussed these gene polymorphisms associated with cancers in the Bangladeshi population, and also made a comparison with other ethnic groups. This will probably be helpful in understanding drug effects, drug resistance, and personalized medicine in the population of this region.
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Affiliation(s)
- Golap Babu
- Department of Biochemistry and Molecular Biology, Jahangirnagar University, 1342, Dhaka, Bangladesh
| | - Shad Bin Islam
- Bachelor in Medicine and Surgery Program, Affiliated hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Md Asaduzzaman Khan
- Key Laboratory of Epigenetics and Oncology, The Research Center for Preclinical Medicine, Southwest Medical University, 646000, Luzhou, Sichuan, China.
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Apu MNH, Aktar MN, Rahman MM, Mostaid MS. Association of TGFB1 gene polymorphisms with cervical cancer in Bangladeshi women: A case-control study. Tumour Biol 2021; 43:27-35. [PMID: 33935123 DOI: 10.3233/tub-200061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES Genetic susceptibility to cervical cancer in relation to transforming growth factor beta 1 (TGFB1) gene polymorphisms has not been investigated extensively among the women in Bangladesh. So, the aim of this study was to find out the correlation of the polymorphisms of TGFB1 C509T (rs1800469) and T869C (rs1800470) with the risk of cervical cancer among the Bangladeshi women. STUDY DESIGN 134 cervical cancer patients and 102 age-sex matched healthy controls were included from two institutions in Bangladesh. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used for genotyping two TGFB1 single nucleotide polymorphisms C509T (rs1800469) and T869C (rs1800470) in patients and controls. RESULTS No significant correlation was found between polymorphisms C509T (rs1800469) and T869C (rs1800470) of TGFB1 gene with cervical cancer in Bangladeshi women. In case of the cervical cancer patients who had first degree relatives with cancer were prone to carry the polymorphic version of the TGFB1 gene polymorphism at C509T (OR = 5.597, 95% CI = 1.224-25.597, p < 0.05) but may not result in the increase of developing cervical cancer. CONCLUSION In summary, two polymorphisms C509T and T869C of TGFB1 gene may not be associated with cervical cancer risk in Bangladeshi women.
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Affiliation(s)
- Mohd Nazmul Hasan Apu
- Department of Clinical Pharmacy and Pharmacology, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh
| | - Most Nasrin Aktar
- Department of Pharmaceutical Sciences, North South University, Dhaka, Bangladesh
| | - Md Morshadur Rahman
- Department of Statistics, Faculty of Sciences, University of Dhaka, Dhaka, Bangladesh
| | - Md Shaki Mostaid
- Department of Clinical Pharmacy and Pharmacology, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh.,Department of Pharmaceutical Sciences, North South University, Dhaka, Bangladesh
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Zheng H, Jarvis IWH, Bottai M, Dreij K, Stenius U. TGF beta promotes repair of bulky DNA damage through increased ERCC1/XPF and ERCC1/XPA interaction. Carcinogenesis 2020; 40:580-591. [PMID: 30418489 DOI: 10.1093/carcin/bgy156] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 10/30/2018] [Accepted: 11/07/2018] [Indexed: 12/15/2022] Open
Abstract
Transforming growth factor beta (TGFβ) is multifunctional cytokine that is involved in the coordination and regulation of many cellular homeostatic processes. Compromised TGFβ activity has been attributed to promotion of human cancers. Recent studies have identified a role for TGFβ in response to radiation-induced DNA damage, suggesting a link between TGFβ and the DNA damage response with implications for cancer development. In this study, the effects of TGFβ on promoting the repair of bulky DNA damage, through modulation of nucleotide excision repair (NER), were investigated. We show that treatment of cells with exogenous TGFβ leads to enhanced repair of DNA damage formed by polycyclic aromatic hydrocarbons and ultraviolet-C radiation; similarly, cells with constitutively activated endogenous TGFβ signaling show comparable responses. This effect of TGFβ is independent of the cell cycle. The response to TGFβ is decreased in cells that have compromised TGFβ signaling through RNA interference of Smad4 and is decreased in NER-deficient cells and cells with compromised NER through RNA interference of excision repair cross-complementing group 1 (ERCC1). Increased interaction and nuclear localization of ERCC1/xeroderma pigmentosum (XP) F and ERCC1/XPA proteins is observed after TGFβ treatment. Our study represents the first experimental evidence of a role for TGFβ in the repair of bulky DNA damage resulting from promotion of the interaction and localization of repair protein complexes involved in the incision step of NER.
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Affiliation(s)
- Huiyuan Zheng
- Unit of Biochemical Toxicology, Karolinska Institutet, Stockholm, Sweden
| | - Ian W H Jarvis
- Unit of Biochemical Toxicology, Karolinska Institutet, Stockholm, Sweden
| | - Matteo Bottai
- Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kristian Dreij
- Unit of Biochemical Toxicology, Karolinska Institutet, Stockholm, Sweden
| | - Ulla Stenius
- Unit of Biochemical Toxicology, Karolinska Institutet, Stockholm, Sweden
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4
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Association of TGF-β1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †. Cancers (Basel) 2020; 12:cancers12020471. [PMID: 32085560 PMCID: PMC7072663 DOI: 10.3390/cancers12020471] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 02/10/2020] [Accepted: 02/11/2020] [Indexed: 01/11/2023] Open
Abstract
Reports on the association of TGF-β1 polymorphisms with breast cancer (BC) have been conflicting, inconsistent, inconclusive, and controversial. PubMed, EMBASE, and Google Scholar were used to identify studies on TGF-β1 polymorphisms and BC risk. Data were extracted independently, and of the initial 3043 studies, 39 case-control studies were eligible for inclusion in the meta-analysis. Information from these studies was extracted, and the overall associations of three TGF-β1 polymorphisms (TGF-β1 29>T/C, TGF-β1-509 C/T, and TGF-β1*6A) with BC risk were analyzed using overall allele, homozygous, heterozygous, recessive, and dominant models. None of the three TGF-β1 polymorphisms studied had a significant influence on the development of BC. However, stratified analysis revealed a positive correlation between the TGF-β1 29T>C polymorphism and BC risk according to a heterozygous model of the Asian population (odds ratio (OR) = 1.115, 95% confidence interval (CI) = 1.006–1.237, p = 0.039). Interestingly, this polymorphism was associated with lower odds of BC according to a heterozygous model of the Middle Eastern population (OR = 0.602, 95% CI = 0.375–0.966, p = 0.035). Thus, our analysis of large datasets indicates that the TGF-β1 29T>C polymorphism is significantly associated with BC risk in the Asian population. In contrast, the TGF-β1*6A and TGF-β1-509 C/T polymorphisms failed to show an association with BC.
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Flister MJ, Bergom C. Genetic Modifiers of the Breast Tumor Microenvironment. Trends Cancer 2018; 4:429-444. [PMID: 29860987 DOI: 10.1016/j.trecan.2018.04.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 04/13/2018] [Accepted: 04/16/2018] [Indexed: 02/06/2023]
Abstract
Multiple nonmalignant cell types in the tumor microenvironment (TME) impact breast cancer risk, metastasis, and response to therapy, yet most heritable mechanisms that influence TME cell function and breast cancer outcomes are largely unknown. Breast cancer risk is ∼30% heritable and >170 genetic loci have been associated with breast cancer traits. However, the majority of candidate genes have poorly defined mechanistic roles in breast cancer biology. Research indicates that breast cancer risk modifiers directly impact cancer cells, yet it is equally plausible that some modifier alleles impact the nonmalignant TME. The objective of this review is to examine the list of current breast cancer candidate genes that may modify breast cancer risk and outcome through the TME.
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Affiliation(s)
- Michael J Flister
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
| | - Carmen Bergom
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA; Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Alqumber MA, Dar SA, Haque S, Wahid M, Singh R, Akhter N. No Association of the TGF-β1 29T/C Polymorphism with Breast Cancer Risk in Caucasian and Asian Populations: Evidence from a Meta-Analysis Involving 55, 841 Subjects. Asian Pac J Cancer Prev 2014; 15:8725-34. [DOI: 10.7314/apjcp.2014.15.20.8725] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Pooja S, Francis A, Rajender S, Tamang R, Rajkumar R, Saini KS, Megu K, Goel MM, Surekha D, Rao DR, Rao L, Ramachandra L, Kumar S, Kumar S, Vishnupriya S, Satyamoorthy K, Negi MPS, Thangaraj K, Konwar R. Strong impact of TGF-β1 gene polymorphisms on breast cancer risk in Indian women: a case-control and population-based study. PLoS One 2013; 8:e75979. [PMID: 24146803 PMCID: PMC3798290 DOI: 10.1371/journal.pone.0075979] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2013] [Accepted: 08/19/2013] [Indexed: 11/28/2022] Open
Abstract
Introduction TGF-β1 is a multi-functional cytokine that plays an important role in breast carcinogenesis. Critical role of TGF-β1 signaling in breast cancer progression is well documented. Some TGF-β1 polymorphisms influence its expression; however, their impact on breast cancer risk is not clear. Methods We analyzed 1222 samples in a candidate gene-based genetic association study on two distantly located and ethnically divergent case-control groups of Indian women, followed by a population-based genetic epidemiology study analyzing these polymorphisms in other Indian populations. The c.29C>T (Pro10Leu, rs1982073 or rs1800470) and c.74G>C (Arg25Pro, rs1800471) polymorphisms in the TGF-β1 gene were analyzed using direct DNA sequencing, and peripheral level of TGF-β1 were measured by ELISA. Results c.29C>T substitution increased breast cancer risk, irrespective of ethnicity and menopausal status. On the other hand, c.74G>C substitution reduced breast cancer risk significantly in the north Indian group (p = 0.0005) and only in the pre-menopausal women. The protective effect of c.74G>C polymorphism may be ethnicity-specific, as no association was seen in south Indian group. The polymorphic status of c.29C>T was comparable among Indo-Europeans, Dravidians, and Tibeto-Burmans. Interestingly, we found that Tibeto-Burmans lack polymorphism at c.74G>C locus as true for the Chinese populations. However, the Brahmins of Nepal (Indo-Europeans) showed polymorphism in 2.08% of alleles. Mean TGF-β1 was significantly elevated in patients in comparison to controls (p<0.001). Conclusion c.29C>T and c.74G>C polymorphisms in the TGF-β1 gene significantly affect breast cancer risk, which correlates with elevated TGF-β1 level in the patients. The c.29C>T locus is polymorphic across ethnically different populations, but c.74G>C locus is monomorphic in Tibeto-Burmans and polymorphic in other Indian populations.
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Affiliation(s)
- Singh Pooja
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow, India
- Department of Pathology, King George's Medical University, Lucknow, India
| | | | - Singh Rajender
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow, India
| | - Rakesh Tamang
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
- Department of Genetics, Osmania University, Hyderabad, India
| | - Raja Rajkumar
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Karan Singh Saini
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow, India
| | - Kaling Megu
- Department of Surgery, King George's Medical University, Lucknow, India
| | - Madhu Mati Goel
- Department of Pathology, King George's Medical University, Lucknow, India
| | | | | | - Lakshmi Rao
- Department of Pathology, Kasturba Medical College, Manipal University, Manipal, India
| | | | - Sandeep Kumar
- Department of Surgery, King George's Medical University, Lucknow, India
- All India Institute of Medical Sciences, Bhopal, India
| | - Surender Kumar
- Department of Surgery, King George's Medical University, Lucknow, India
| | | | | | | | - Kumarasamy Thangaraj
- CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
- * E-mail: (RK); (KT)
| | - Rituraj Konwar
- Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow, India
- * E-mail: (RK); (KT)
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Associations between genetic variants in the TGF-β signaling pathway and breast cancer risk among Hispanic and non-Hispanic white women. Breast Cancer Res Treat 2013; 141:287-97. [PMID: 24036662 DOI: 10.1007/s10549-013-2690-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Accepted: 08/29/2013] [Indexed: 12/17/2022]
Abstract
The TGF-β signaling pathway has a significant role in breast cancer initiation and promotion by regulating various cellular processes. We evaluated whether genetic variation in eight genes (TGF-β1, TGF-β2, TGF-βR1, TGF-βR2, TGF-βR3, RUNX1, RUNX2, and RUNX3) is associated with breast cancer risk in women from the Breast Cancer Health Disparities Study. A total of 3,524 cases (1,431 non-Hispanic whites (NHW); 2,093 Hispanics/Native Americans(NA)) and 4,209 population-based controls (1,599 NHWs; 2,610 Hispanics/NAs) were included in analyses. Genotypes for 47 single nucleotide polymorphisms (SNPs) were determined. Additionally, 104 ancestral informative markers estimated proportion of NA ancestry. Associations with breast cancer risk overall, by menopausal status, NA ancestry, and estrogen receptor (ER)/progesterone receptor tumor phenotype were evaluated. After adjustment for multiple comparisons, two SNPs were significantly associated with breast cancer risk: RUNX3 (rs906296 ORCG/GG = 1.15 95 % CI 1.04-1.26) and TGF-β1 (rs4803455 ORCA/AA = 0.89 95 % CI 0.81-0.98). RUNX3 (rs906296) and TGF-βR2 (rs3773644) were associated with risk in pre-menopausal women (p adj = 0.002 and 0.02, respectively) and in those with intermediate to high NA ancestry (p adj = 0.04 and 0.01, respectively). Self-reported race was strongly correlated with NA ancestry (r = 0.86). There was a significant interaction between NA ancestry and RUNX1 (rs7279383, p adj = 0.04). Four RUNX SNPs were associated with increased risk of ER- tumors. Results provide evidence that genetic variation in TGF-β and RUNX genes are associated with breast cancer risk. This is the first report of significant associations between genetic variants in TGF-β and RUNX genes and breast cancer risk among women of NA ancestry.
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Wang Y, Chu X, Meng X, Zou F. Association of TGF-β1 -509C/T polymorphisms with breast cancer risk: evidence from an updated meta-analysis. Tumour Biol 2013; 35:935-42. [PMID: 23982878 DOI: 10.1007/s13277-013-1122-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2013] [Accepted: 08/14/2013] [Indexed: 01/18/2023] Open
Abstract
Epidemiological studies have evaluated the association between transforming growth factor-β1 (TGF-β1) -509C/T polymorphisms and breast cancer risk. However, the results remain conflicting rather than conclusive. The aim of this study was to comprehensively clarify the association between TGF-β1 -509C/T polymorphisms and breast cancer risk. All relevant studies were searched in the electronic databases. The potential sources of heterogeneity were detected with the chi-square-based Q test. The strength of associations between TGF-β1 -509C/T polymorphisms and breast cancer risk was measured by odds ratio (OR) and 95 % confidence intervals (CI). Publication bias was tested by Begg's test and Egger's test. A total of 10 studies including 10,913 cases and 14,187 controls were included in the meta-analysis. Overall, there was no evidence of significant association of TGF-β1 -509C/T polymorphisms with breast cancer risk (TT vs. CC [OR = 0.97, 95 % CI = 0.83-1.14]; CT vs. CC [OR = 1.05, 95 % CI = 0.90-1.22]; TT + CT vs. CC [OR = 0.99, 95 % CI = 0.91-1.08]; T allele vs. C allele [OR = 0.99, 95 % CI = 0.93-1.06]). Similar results were also found in the subgroup analyses by ethnicity and source of control. When stratified by estrogen receptor (ER) status, TT genotype and T allele were associated with a decreased ER-positive breast cancer risk (OR = 0.66, 95 % CI = 0.49-0.90 and OR = 0.85, 95 % CI = 0.75-0.96, respectively). The present meta-analysis results suggest that TGF-β1 -509C/T variants may not contribute to the risk of breast cancer overall. However, T allele may be a potential protective factor for developing ER-positive breast cancer. Well-designed studies with larger sample size were required to verify our findings further.
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Affiliation(s)
- Yadong Wang
- Henan Center for Disease Control and Prevention, Zhengzhou, 450016, People's Republic of China
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Lanara Z, Giannopoulou E, Fullen M, Kostantinopoulos E, Nebel JC, Kalofonos HP, Patrinos GP, Pavlidis C. Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection. Hum Genomics 2013; 7:14. [PMID: 23738773 PMCID: PMC3686617 DOI: 10.1186/1479-7364-7-14] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Accepted: 05/01/2013] [Indexed: 12/12/2022] Open
Abstract
A large number of common disorders, including cancer, have complex genetic traits, with multiple genetic and environmental components contributing to susceptibility. A literature search revealed that even among several meta-analyses, there were ambiguous results and conclusions. In the current study, we conducted a thorough meta-analysis gathering the published meta-analysis studies previously reported to correlate any random effect or predictive value of genome variations in certain genes for various types of cancer. The overall analysis was initially aimed to result in associations (1) among genes which when mutated lead to different types of cancer (e.g. common metabolic pathways) and (2) between groups of genes and types of cancer. We have meta-analysed 150 meta-analysis articles which included 4,474 studies, 2,452,510 cases and 3,091,626 controls (5,544,136 individuals in total) including various racial groups and other population groups (native Americans, Latinos, Aborigines, etc.). Our results were not only consistent with previously published literature but also depicted novel correlations of genes with new cancer types. Our analysis revealed a total of 17 gene-disease pairs that are affected and generated gene/disease clusters, many of which proved to be independent of the criteria used, which suggests that these clusters are biologically meaningful.
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Affiliation(s)
- Zoi Lanara
- Faculty of Mathematical, Physical and Natural Sciences, Department of Biological Sciences, University of Trieste, Trieste, 34128, Italy
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Vinod C, Jyothy A, Vijay Kumar M, Raghu Raman R, Nallari P, Venkateshwari A. Heterozygosity for TGF β1 -509C/T Polymorphism is associated with risk for breast cancer in South Indian population. Tumour Biol 2012; 34:99-105. [PMID: 23001908 DOI: 10.1007/s13277-012-0516-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2012] [Accepted: 09/04/2012] [Indexed: 11/30/2022] Open
Abstract
Transformation growth factor β1 is a multipotent cytokine that mediates the development, differentiation, and neoplasm of the mammary gland. TGF β1 is known to exert both tumor suppressive and progressive effect at different stages of carcinogenesis. Several studies have shown the association of TGF β1 expression with breast cancer markers like estrogen receptor (ER), progesterone receptor (PR), and Her2/neu. TGF β1 expression is known to be influenced by -509C/T promoter polymorphism. Hence, the present study is aimed to evaluate the possible role of TGF β1 -509C/T promoter polymorphism in breast cancer and its association with ER, PR, and Her2 status based on case-control study in South Indian population from Andhra Pradesh. Our study revealed a significant increase of CT genotype in breast cancer patients compared to controls (CT vs. CC: χ (2) = 6.054, P = 0.014, OR 2.005, 95 % CI 1.182-3.403). However, there was no correlation between TGF β1 -509C/T polymorphism and other factors like age at onset, ER, PR, Her2 status, etc. Further, CT genotype was found to be associated with increased risk in advanced stages of breast cancer (CC vs. CT: OR 2.315, 95 % CI 1.143-4.688) and a border line significance with postmenopausal women (CT vs. CC: χ (2) = 3.128, P = 0.07, OR 2.095, 95 % CI 0.991-4.428).
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Affiliation(s)
- Cingeetham Vinod
- Institute of Genetics and Hospital for Genetic Diseases, Osmania University, Begumpet, Hyderabad, 500016, India
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Association between TGFBR1 polymorphisms and cancer risk: a meta-analysis of 35 case-control studies. PLoS One 2012; 7:e42899. [PMID: 22905183 PMCID: PMC3414489 DOI: 10.1371/journal.pone.0042899] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2012] [Accepted: 07/12/2012] [Indexed: 12/15/2022] Open
Abstract
Background Numerous epidemiological studies have evaluated the association between TGFBR1 polymorphisms and the risk of cancer, however, the results remain inconclusive. To derive a more precise estimation of the relation, we conducted a comprehensive meta-analysis of all available case-control studies relating the TGFBR1*6A and IVS7+24G>A polymorphisms of the TGFBR1 gene to the risk of cancer. Methods Eligible studies were identified by search of electronic databases. Overall and subgroup analyses were performed. Odds ratio (OR) and 95% confidence interval (CI) were applied to assess the associations between TGFBR1*6A and IVS7+24G>A polymorphisms and cancer risk. Results A total of 35 studies were identified, 32 with 19,767 cases and 18,516 controls for TGFBR1*6A polymorphism and 12 with 4,195 cases and 4,383 controls for IVS7+24G>A polymorphism. For TGFBR1*6A, significantly elevated cancer risk was found in all genetic models (dominant OR = 1.11, 95% CI = 1.04∼1.18; recessive: OR = 1.36, 95% CI = 1.11∼1.66; additive: OR = 1.13, 95% CI = 1.05∼1.20). In subgroup analysis based on cancer type, increased cancer risk was found in ovarian and breast cancer. For IVS7+24G>A, significant correlation with overall cancer risk (dominant: OR = 1.39, 95% CI = 1.15∼1.67; recessive: OR = 2.23, 95% CI = 1.26∼3.92; additive: OR = 1.43, 95% CI = 1.14∼1.80) was found, especially in Asian population. In the subgroup analysis stratified by cancer type, significant association was found in breast and colorectal cancer. Conclusions Our investigations demonstrate that TGFBR1*6A and IVS7+24G>A polymorphisms of TGFBR1 are associated with the susceptibility of cancer, and further functional research should be performed to explain the inconsistent results in different ethnicities and cancer types.
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Xiang TX, Cheng N, Li XN, Wu XP. Association between transforming growth factor-β1 polymorphisms and hepatocellular cancer risk: A meta-analysis. Hepatol Res 2012; 42:583-90. [PMID: 22257092 DOI: 10.1111/j.1872-034x.2011.00958.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
AIM The association between transforming growth factor-β1 (TGF-β1) gene polymorphisms and hepatocellular cancer (HCC) risk has been widely reported, but results were somewhat controversial. To derive a more precise estimation of the relationship between TGF-β1 polymorphisms and HCC risk, we conducted a meta-analysis of all available studies relating the C-509T and/or T869C polymorphisms of the TGF-β1 gene to the risk of developing HCC. METHODS Two investigators independently searched the MEDLINE, PubMed, Web of Science, Embase, CNKI (China National Knowledge Infrastructure) and CBM (Chinese Biomedical Literature database) for the period up to August 2011. RESULT A total of nine case-control articles were identified. Five studies with 1825 cases and 2869 controls for C-509T polymorphism, and six studies with 536 cases and 1496 controls for T869C polymorphism were included. In the overall analysis, no significant association between the polymorphisms and risk of HCC was observed. Stratified analysis showed that significant association between C-509T polymorphism and HCC was present only in controls with liver disease (T vs. C: odds ratio [OR] = 0.769, 95% confidence interval [CI] = 0.661-0.895; TT vs. CC: OR = 0.570, 95% CI = 0.412-0.788; TT/TC vs. CC: OR = 0.668, 95% CI = 0.523-0.854; TT vs. TC/CC OR = 0.717, 95% CI = 0.550-0.934), but not in healthy controls. With respect to T869C polymorphism, only a decreased risk was found in recessive models in controls with liver disease. CONCLUSIONS This meta-analysis supports that the TGF-β1 C-509T polymorphism may act in a protecting role in HCC susceptibility in populations with related liver disease.
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Affiliation(s)
- Tian-Xin Xiang
- Department of Infectious Diseases, the First Hospital Affiliated of Nanchang University, Nanchang, China
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Zhang M, Guo LL, Cheng Z, Liu RY, Lu Y, Qian Q, Lei Z, Zhang HT. A functional polymorphism of TGFBR2 is associated with risk of breast cancer with ER(+), PR(+), ER(+)PR(+) and HER2(-) expression in women. Oncol Lett 2011; 2:653-658. [PMID: 22848244 DOI: 10.3892/ol.2011.312] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2011] [Accepted: 05/04/2011] [Indexed: 11/06/2022] Open
Abstract
Little is known about the correlation between TGFBR2 G-875A and breast cancer risk. Moreover, the associations of the expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor-2 (HER2) in breast cancer tissues with the TGFB1 C-509T, T+29C and TGFBR2 G-875A polymorphisms remain to be determined. In this study, we genotyped for TGFB1 C-509T, T+29C and TGFBR2 G-875A in fresh surgically resected tissues (n=82) and archived paraffin-embedded specimens (n=88) from 170 patients with breast cancer, as well as peripheral blood samples from 178 cancer-free female individuals. Evaluation of ER, PR and HER2 expression was performed using immunohistochemical staining. Logistic regression analysis was carried out to determine the risk of breast cancer by calculating the odds ratios (ORs) and their 95% confidence intervals (CIs). As a result, no difference was observed in the TGFB1 C-509T, T+29C genotype and allele frequencies between patients and controls. However, the frequency of the TGFBR2 -875A allele was marginally higher in cancer-free female individuals than that of women with breast cancer (24.2 vs. 17.9%, P=0.05). Notably, when stratification was performed by ER, PR and HER2 expression, the TGFBR2 -875A allele was found to correlate significantly to a decreased risk of breast cancer with ER(+) (OR=0.57, 95% CI 0.35-0.92), PR(+) (OR=0.54, 95% CI 0.34-0.88), ER(+)PR(+) (OR=0.55, 95% CI 0.33-0.92) and HER2(-) (OR=0.55, 95% CI 0.34-0.88) under a dominant genetic model. In conclusion, this is the first study to suggest that the TGFBR2 -875A allele modifies predisposition to breast cancer with an expression of ER(+), PR(+), ER(+)PR(+) and HER2(-).
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Affiliation(s)
- Mei Zhang
- Department of Pathology, The Second Affiliated Hospital of Soochow University, Suzhou 215004
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15
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Babyshkina N, Malinovskaya E, Stakheyeva M, Volkomorov V, Slonimskaya E, Maximov V, Cherdyntseva N. Association of functional -509C>T polymorphism in the TGF-β1 gene with infiltrating ductal breast carcinoma risk in a Russian Western Siberian population. Cancer Epidemiol 2011; 35:560-3. [PMID: 21470928 DOI: 10.1016/j.canep.2011.02.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2010] [Revised: 01/31/2011] [Accepted: 02/04/2011] [Indexed: 10/18/2022]
Abstract
BACKGROUND Transforming growth factor β1 (TGF-β1) is a multifunctional cytokine that plays an important role in human mammary carcinogenesis. The purpose of this study was to investigate the association between -509C>T single nucleotide polymorphism (SNP) of the TGF-β1 gene and infiltrating ductal breast carcinoma risk in Russian patients of Western Siberian region. MATERIALS AND METHODS Blood samples collected from 218 women with histologically confirmed infiltrating ductal breast carcinoma and 290 healthy female controls were analyzed through polymerase chain reaction-restriction fragment length polymorphism methods. RESULTS The -509TT genotype was significantly associated with a decreased risk for ductal breast carcinoma (OR=0.47, CI: 0.26-0.82, P=0.004). Similarly, the -509T was significantly less in ductal breast cancer patients (34.4%) than in control individuals (41.6%; OR=0.74, CI: 0.57-0.96, P=0.02). With the exception of association between the -509TT genotype and large tumor size (P=0.01), there was no significant association between the studied polymorphism and clinicopathological characteristics. CONCLUSION The results of this study suggest that polymorphism of TGF-β1 -509C>T gene may modify individual susceptibility to infiltrating ductal breast carcinoma in Russian women of Western Siberian region.
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Affiliation(s)
- Nataliya Babyshkina
- Department of Experimental Oncology, Cancer Research Institute of Siberian Branch of Russian Academy of Medical Sciences, Tomsk 634001, Russian Federation.
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Peng S, Lü B, Ruan W, Zhu Y, Sheng H, Lai M. Genetic polymorphisms and breast cancer risk: evidence from meta-analyses, pooled analyses, and genome-wide association studies. Breast Cancer Res Treat 2011; 127:309-24. [DOI: 10.1007/s10549-011-1459-5] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2011] [Accepted: 03/15/2011] [Indexed: 12/31/2022]
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