Article
Oncology
Jiayang Yu, Chun-Guang Wang
Summary: Using a meta-analysis approach, this study found that the G172T polymorphism in the RAD51 gene may be associated with an increased risk of breast cancer, particularly in the Arab population. The association between the XRCC2 R188H polymorphism and breast cancer was not significant. The T241M polymorphism in XRCC3 may be associated with an increased risk of breast cancer, especially in the Asian population.
FRONTIERS IN ONCOLOGY
(2023)
Review
Multidisciplinary Sciences
Shing Cheng Tan, Teck Yew Low, Hafiz Muhammad Jafar Hussain, Mohamad Ayub Khan Sharzehan, Hilary Sito, Hamed Kord-Varkaneh, Md Asiful Islam
Summary: This study conducted a systematic review and meta-analysis to investigate the association between the XRCC3 p.Thr241Met polymorphism and glioma risk. The results showed that this polymorphism is significantly associated with increased glioma risk in the homozygous and recessive models, particularly in the Asian population.
Article
Genetics & Heredity
Weiqing Liu, Shumin Ma, Lei Liang, Zhiyong Kou, Hongbin Zhang, Jun Yang
Summary: Studies on the XRCC3 rs1799794 polymorphism show that it is associated with cancer risk, especially increased risk for breast cancer and thyroid cancer and reduced risk for ovarian cancer. However, further large-scale studies are needed to evaluate the results.
BMC MEDICAL GENOMICS
(2021)
Article
Genetics & Heredity
Zhengjun Xie, Wei Peng, Qiuhua Li, Wei Cheng, Xin Zhao
Summary: The meta-analysis suggests significant associations between leukemia risk and XRCC3 Thr241Met polymorphism in Caucasian population. These associations indicate that XRCC3 Thr241Met polymorphism may be a risk factor for leukemia in Caucasians.
BMC MEDICAL GENOMICS
(2021)
Article
Multidisciplinary Sciences
Taruna Rajagopal, Arun Seshachalam, Krishna Kumar Rathnam, Srikanth Talluri, Sivaramakrishnan Venkatabalasubramanian, Nageswara Rao Dunna
Summary: This study is the first to investigate the impact of HRR gene polymorphisms on breast cancer development in South Indian women. The results suggest that specific variants of XRCC3 and RAD51 genes are associated with breast cancer risk and progression.
Review
Genetics & Heredity
Lin Zhao, Xiang-Xiongyi Yin, Jun Qin, Wei Wang, Xiao-Feng He
Summary: Based on a comprehensive analysis of a large number of studies, this meta-analysis found no significant association between TP53 codons 72, IVS3 16 bp, and IVS6+62A > G polymorphisms and breast cancer risk. The previous results suggesting an association may be false-positive results due to confounding factors.
FRONTIERS IN GENETICS
(2022)
Review
Genetics & Heredity
Hamid Reza Mozaffari, Maryam Rostamnia, Roohollah Sharifi, Mohsen Safaei, Elisa Zavattaro, Santosh Kumar Tadakamadla, Mohammad Moslem Imani, Masoud Sadeghi, Amin Golshah, Hedaiat Moradpoor, Farzad Rezaei, Neda Omidpanah, Masoud Hatami
Summary: The meta-analysis found that the T allele and CT genotype of XRCC1 rs1799782 polymorphism were associated with an increased risk of oral cancer, while the G allele and GG genotype of XRCC2 rs2040639 polymorphism were protective against oral cancer.
Article
Oncology
Katja Goricar, Franja Dugar, Vita Dolzan, Tanja Marinko
Summary: This study investigates the association between homologous recombination repair (HRR) gene polymorphisms and radiotherapy toxicity in early HER2-positive breast cancer. The result suggests that RAD51 and XRCC3 polymorphisms may contribute to adverse events in radiotherapy for early HER2-positive breast cancer patients, potentially serving as predictive biomarkers.
Article
Multidisciplinary Sciences
Babatunde Adedokun, Zhaohui Du, Guimin Gao, Thomas U. Ahearn, Kathryn L. Lunetta, Gary Zirpoli, Jonine Figueroa, Esther M. John, Leslie Bernstein, Wei Zheng, Jennifer J. Hu, Regina G. Ziegler, Sarah Nyante, Elisa Bandera, Sue A. Ingles, Michael F. Press, Sandra L. Deming-Halverson, Jorge L. Rodriguez-Gil, Song Yao, Temidayo O. Ogundiran, Oladosu Ojengbede, William Blot, Melissa A. Troester, Katherine L. Nathanson, Anselm Hennis, Barbara Nemesure, Stefan Ambs, Peter N. Fiorica, Lara E. Sucheston-Campbell, Jeannette T. Bensen, Lawrence H. Kushi, Gabriela Torres-Mejia, Donglei Hu, Laura Fejerman, Manjeet K. Bolla, Joe Dennis, Alison M. Dunning, Douglas F. Easton, Kyriaki Michailidou, Paul D. P. Pharoah, Qin Wang, Dale P. Sandler, Jack A. Taylor, Katie M. O'Brien, Cari M. Kitahara, Adeyinka G. Falusi, Chinedum Babalola, Joel Yarney, Baffour Awuah, Beatrice Addai-Wiafe, Stephen J. Chanock, Andrew F. Olshan, Christine B. Ambrosone, David Conti, Elad Ziv, Olufunmilayo Olopade, Montserrat Garcia-Closas, Julie R. Palmer, Christopher A. Haiman, Dezheng Huo
Summary: Using a cross-ancestry approach, the study identified seven new variants associated with breast cancer risk among women of African ancestry, shedding light on the genetic basis of breast cancer in different populations and emphasizing the importance of replication across multiple ancestry populations to identify causal variants.
NATURE COMMUNICATIONS
(2021)
Article
Biochemistry & Molecular Biology
Priyanka Gupta, Vasudha Sambyal, Kamlesh Guleria, Manjit Singh Uppal, Meena Sudan
Summary: This study found that the rs1801320 variant of the RAD51 gene and the rs861539 variant of the XRCC3 gene are associated with a reduced risk of breast cancer, while the rs25487 variant of the XRCC1 gene and the rs3218536 variant of the XRCC2 gene are not. Additionally, there is evidence of positive interaction between XRCC3 and XRCC2.
GENETIC TESTING AND MOLECULAR BIOMARKERS
(2023)
Article
Oncology
Xiangyuan Yu, Qianqian Wang, Gaofeng He, Hongping Yu
Summary: This meta-analysis study found that in Asian populations, the XRCC3 Thr241Met polymorphism may increase the risk of gynecological malignancies, especially cervical carcinoma. However, in the overall analysis, no significant association was found between Thr241Met and GM risk. Further studies with larger sample sizes are needed to confirm these findings.
Review
Medicine, General & Internal
Bei Wang, Fenglai Yuan, Feng Zhang, Zongning Miao, Donglin Jiang
Summary: This meta-analysis examined the association between four common HOTAIR polymorphisms and breast cancer susceptibility. The results indicated that rs920778, rs1899663 and rs12826786 polymorphisms are significantly associated with breast cancer susceptibility.
ARCHIVES OF MEDICAL SCIENCE
(2023)
Review
Biochemistry & Molecular Biology
Kheirollah Yari, Ali Hakimi, Masoud Mohammadi, Mojtaba Ammari-Allahyari, Nader Salari, Hooman Ghasemi
Summary: This study conducted a systematic review of 2138 articles and found a correlation between PTEN gene mutation and the occurrence of breast cancer. The results showed a prevalence of 3.3% for PTEN mutations in breast cancer patients, and an increased risk of 3.7 times for developing breast cancer due to PTEN mutation.
BIOCHEMICAL GENETICS
(2023)
Review
Oncology
Matteo Lambertini, Eva Blondeaux, Marco Bruzzone, Marta Perachino, Richard A. Anderson, Evandro de Azambuja, Philip D. Poorvu, Hee Jeong Kim, Cynthia Villarreal-Garza, Barbara Pistilli, Ines Vaz-Luis, Cristina Saura, Kathryn J. Ruddy, Maria Alice Franzoi, Chiara Sertoli, Marcello Ceppi, Hatem A. Azim, Frederic Amant, Isabelle Demeestere, Lucia Del Mastro, Ann H. Partridge, Olivia Pagani, Fedro A. Peccatori
Summary: This study found that breast cancer survivors are less likely to have a subsequent pregnancy compared to the general population, and they face higher risks during pregnancy, especially among those who have received chemotherapy. However, compared to breast cancer patients without subsequent pregnancy, those who become pregnant have better disease-free survival and overall survival rates.
JOURNAL OF CLINICAL ONCOLOGY
(2021)
Review
Medicine, General & Internal
Linlin Liu, Xu Sun, Chenxi Yuan, Huaimin Liu
Summary: This study aims to explore the relationship between HLA-DRB1 gene polymorphism and breast cancer, providing evidence-based support. The study utilized systematic evaluation methods, searched multiple databases, and selected relevant studies. Two researchers independently conducted data extraction and quality assessment, and ultimately performed data analysis using statistical software.