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Liu Q, Peng Q, Zhang B, Tan Y. X-ray cross-complementing family: the bridge linking DNA damage repair and cancer. J Transl Med 2023; 21:602. [PMID: 37679817 PMCID: PMC10483876 DOI: 10.1186/s12967-023-04447-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/17/2023] [Indexed: 09/09/2023] Open
Abstract
Genomic instability is a common hallmark of human tumours. As a carrier of genetic information, DNA is constantly threatened by various damaging factors that, if not repaired in time, can affect the transmission of genetic information and lead to cellular carcinogenesis. In response to these threats, cells have evolved a range of DNA damage response mechanisms, including DNA damage repair, to maintain genomic stability. The X-ray repair cross-complementary gene family (XRCC) comprises an important class of DNA damage repair genes that encode proteins that play important roles in DNA single-strand breakage and DNA base damage repair. The dysfunction of the XRCC gene family is associated with the development of various tumours. In the context of tumours, mutations in XRCC and its aberrant expression, result in abnormal DNA damage repair, thus contributing to the malignant progression of tumour cells. In this review, we summarise the significant roles played by XRCC in diverse tumour types. In addition, we discuss the correlation between the XRCC family members and tumour therapeutic sensitivity.
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Affiliation(s)
- Qiang Liu
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, 283 Tongzipo Road, Changsha, 410013, Hunan, China
- NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Sciences, Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, 410078, Hunan, China
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410008, Hunan, China
| | - Qiu Peng
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, 283 Tongzipo Road, Changsha, 410013, Hunan, China
| | - Bin Zhang
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
- Department of Histology and Embryology, Xiangya School of Medicine, Central South University, Changsha, 410013, Hunan, China.
| | - Yueqiu Tan
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, 283 Tongzipo Road, Changsha, 410013, Hunan, China.
- NHC Key Laboratory of Human Stem Cell and Reproductive Engineering, School of Basic Medical Sciences, Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, 410078, Hunan, China.
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, 410008, Hunan, China.
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BCAP31, a cancer/testis antigen-like protein, can act as a probe for non-small-cell lung cancer metastasis. Sci Rep 2020; 10:4025. [PMID: 32132574 PMCID: PMC7055246 DOI: 10.1038/s41598-020-60905-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 02/18/2020] [Indexed: 01/03/2023] Open
Abstract
Non-small-cell lung cancer (NSCLC) represents most of lung cancers, is often diagnosed at an advanced metastatic stage. Therefore, exploring the mechanisms underlying metastasis is key to understanding the development of NSCLC. The expression of B cell receptor-associated protein 31 (BCAP31), calreticulin, glucose-regulated protein 78, and glucose-regulated protein 94 were analyzed using immunohistochemical staining of 360 NSCLC patients. It resulted that the high-level expression of the four proteins, but particularly BCAP31, predicted inferior overall survival. What’s more, BCAP31 was closely associated with histological grade and p53 status, which was verified by seven cohorts of NSCLC transcript microarray datasets. Then, three NSCLC cell lines were transfected to observe behavior changes BCAP31 caused, we found the fluctuation of BCAP31 significantly influenced the migration, invasion of NSCLC cells. To identify the pathway utilized by BCAP31, Gene Set Enrichment Analysis was firstly performed, showing Akt/m-TOR/p70S6K pathway was the significant one, which was verified by immunofluorescence, kinase phosphorylation and cellular behavioral observations. Finally, the data of label-free mass spectroscopy implied that BCAP31 plays a role in a fundamental biological process. This study provides the first demonstration of BCAP31 as a novel prognostic factor related to metastasis and suggests a new therapeutic strategy for NSCLC.
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Man J, Zhang X, Dong H, Li S, Yu X, Meng L, Gu X, Yan H, Cui J, Lai Y. Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis. Oncol Lett 2019; 18:5185-5196. [PMID: 31612029 PMCID: PMC6781567 DOI: 10.3892/ol.2019.10873] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Accepted: 08/22/2019] [Indexed: 12/21/2022] Open
Abstract
The high mortality rate of lung squamous cell carcinoma (LUSC) is in part due to the lack of early detection of its biomarkers. The identification of key molecules involved in LUSC is therefore required to improve clinical diagnosis and treatment outcomes. The present study used the microarray datasets GSE31552, GSE6044 and GSE12428 from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs). Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses were conducted to construct the protein-protein interaction network of DEGs and hub genes module using STRING and Cytoscape. The 67 DEGs identified consisted of 42 upregulated genes and 25 downregulated genes. The pathways predicted by KEGG and GO enrichment analyses of DEGs mainly included cell cycle, cell proliferation, glycolysis or gluconeogenesis, and tetrahydrofolate metabolic process. Further analysis of the University of California Santa Cruz and ONCOMINE databases identified 17 hub genes. Overall, the present study demonstrated hub genes that were closely associated with clinical tissue samples of LUSC, and identified TYMS, CCNB2 and RFC4 as potential novel biomarkers of LUSC. The findings of the present study contribute to an improved understanding of the molecular mechanisms of carcinogenesis and progression of LUSC, and assist with the identification of potential diagnostic and therapeutic targets of LUSC.
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Affiliation(s)
- Jun Man
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Xiaomei Zhang
- Department of Respiratory Medicine, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing 100078, P.R. China
| | - Huan Dong
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Simin Li
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Xiaolin Yu
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Lihong Meng
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Xiaofeng Gu
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Hong Yan
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Jinwei Cui
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
| | - Yuxin Lai
- Department of Internal Medicine of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, P.R. China
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Neumeyer S, Popanda O, Edelmann D, Butterbach K, Toth C, Roth W, Bläker H, Jiang R, Herpel E, Jäkel C, Schmezer P, Jansen L, Alwers E, Benner A, Burwinkel B, Hoffmeister M, Brenner H, Chang-Claude J. Genome-wide DNA methylation differences according to oestrogen receptor beta status in colorectal cancer. Epigenetics 2019; 14:477-493. [PMID: 30931802 DOI: 10.1080/15592294.2019.1595998] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Involvement of sex hormones in colorectal cancer (CRC) development has been linked to oestrogen receptor β (ERβ). Expression of ERβ is found reduced in tumour tissue and inversely related to mortality. However, mechanisms are not well understood. Our study aimed to detect differentially methylated genes associated with ERβ expression, which could point to mechanisms by which ERβ could influence risk and prognosis of CRC. Epigenome-wide DNA methylation profiling was performed using Illumina HumanMethylation450k BeadChip arrays in two independent tumour sample sets of CRC patients recruited in 2003-2010 by the German DACHS study (discovery cohort n = 917, replication cohort n = 907). ERβ expression was measured using immunohistochemistry and scored as negative, moderate and high. Differentially methylated CpG sites and genomic regions were determined using limma in the R-package RnBeads. For the comparison of tumours with moderate/high ERβ versus negative expression, differentially methylated CpG sites were identified but not confirmed by replication. Comparing tumours of high with tumours of negative ERβ expression revealed 2,904 differentially methylated CpG sites of which 403 were replicated (FDR adjusted p-value<0.05). Replicated CpGs were annotated to genes such as CD36, HK1 or LRP5. A survival analysis indicates that 30 of the replicated CpGs are also associated with overall survival (FDR-adjusted p-value<0.05). The regional analysis identified 60 differentially methylated promotor regions. The epigenome-wide analysis identified both novel genes as well as genes already implicated in CRC. Follow-up mechanistic studies to better understand the regulatory role of ERβ could inform potential targets for improving treatment or prevention of CRC.
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Affiliation(s)
- Sonja Neumeyer
- a Division of Cancer Epidemiology , German Cancer Research Center , Heidelberg , Germany.,b Medical Faculty Heidelberg , Heidelberg University , Heidelberg , Germany
| | - Odilia Popanda
- c Division of Epigenomics and Cancer Risk Factors , German Cancer Research Center , Heidelberg , Germany
| | - Dominic Edelmann
- d Division of Biostatistics , German Cancer Research Center , Heidelberg , Germany
| | - Katja Butterbach
- a Division of Cancer Epidemiology , German Cancer Research Center , Heidelberg , Germany.,e Division of Clinical Epidemiology and Aging Research , German Cancer Research Center , Heidelberg , Germany
| | - Csaba Toth
- f Institute of Pathology , Heidelberg University , Heidelberg , Germany
| | - Wilfried Roth
- g Institute of Pathology , Universitätsmedizin der Johannes Gutenberg-Universität Mainz , Mainz , Germany
| | - Hendrik Bläker
- h Institute of Pathology , Charité University Medicine , Berlin , Germany
| | - Ruijingfang Jiang
- a Division of Cancer Epidemiology , German Cancer Research Center , Heidelberg , Germany
| | - Esther Herpel
- f Institute of Pathology , Heidelberg University , Heidelberg , Germany.,i NCT Tissue Bank , National Center for Tumor Diseases (NCT) , Heidelberg , Germany
| | - Cornelia Jäkel
- c Division of Epigenomics and Cancer Risk Factors , German Cancer Research Center , Heidelberg , Germany
| | - Peter Schmezer
- c Division of Epigenomics and Cancer Risk Factors , German Cancer Research Center , Heidelberg , Germany
| | - Lina Jansen
- e Division of Clinical Epidemiology and Aging Research , German Cancer Research Center , Heidelberg , Germany
| | - Elizabeth Alwers
- e Division of Clinical Epidemiology and Aging Research , German Cancer Research Center , Heidelberg , Germany
| | - Axel Benner
- d Division of Biostatistics , German Cancer Research Center , Heidelberg , Germany
| | - Barbara Burwinkel
- j Division of Molecular Epidemiology , German Cancer Research Center (DKFZ) , Heidelberg , Germany.,k Department of Gynecology and Obstetrics, Molecular Biology of Breast Cancer , University of Heidelberg , Heidelberg , Germany
| | - Michael Hoffmeister
- e Division of Clinical Epidemiology and Aging Research , German Cancer Research Center , Heidelberg , Germany
| | - Hermann Brenner
- e Division of Clinical Epidemiology and Aging Research , German Cancer Research Center , Heidelberg , Germany.,l Division of Preventive Oncology , German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT) , Heidelberg , Germany.,m German Cancer Consortium (DKTK) , German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - Jenny Chang-Claude
- a Division of Cancer Epidemiology , German Cancer Research Center , Heidelberg , Germany.,n Cancer Epidemiology Group , University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf , Hamburg , Germany
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Liu J, Zheng B, Li Y, Yuan Y, Xing C. Genetic Polymorphisms of DNA Repair Pathways in Sporadic Colorectal Carcinogenesis. J Cancer 2019; 10:1417-1433. [PMID: 31031852 PMCID: PMC6485219 DOI: 10.7150/jca.28406] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 01/12/2019] [Indexed: 12/20/2022] Open
Abstract
DNA repair systems play a critical role in maintaining the integrity and stability of the genome, which mainly include base excision repair (BER), nucleotide excision repair (NER), mismatch repair (MMR) and double-strand break repair (DSBR). The polymorphisms in different DNA repair genes that are mainly represented by single-nucleotide polymorphisms (SNPs) can potentially modulate the individual DNA repair capacity and therefore exert an impact on individual genetic susceptibility to cancer. Sporadic colorectal cancer arises from the colorectum without known contribution from germline causes or significant family history of cancer or inflammatory bowel disease. In recent years, emerging studies have investigated the association between polymorphisms of DNA repair system genes and sporadic CRC. Here, we review recent insights into the polymorphisms of DNA repair pathway genes, not only individual gene polymorphism but also gene-gene and gene-environment interactions, in sporadic colorectal carcinogenesis.
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Affiliation(s)
- Jingwei Liu
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, the First Hospital of China Medical University, and Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang 110001, China
| | - Bowen Zheng
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, the First Hospital of China Medical University, and Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang 110001, China
| | - Ying Li
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, the First Hospital of China Medical University, and Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang 110001, China
| | - Yuan Yuan
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, the First Hospital of China Medical University, and Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang 110001, China
| | - Chengzhong Xing
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, the First Hospital of China Medical University, and Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang 110001, China
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Penney ME, Parfrey PS, Savas S, Yilmaz YE. A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer. BMC Cancer 2019; 19:133. [PMID: 30738427 PMCID: PMC6368959 DOI: 10.1186/s12885-019-5346-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 02/04/2019] [Indexed: 12/16/2022] Open
Abstract
Background Differentiating between cancer patients who will experience metastasis within a short time and who will be long-term survivors without metastasis is a critical aim in healthcare. The microsatellite instability (MSI)-high tumor phenotype is such a differentiator in colorectal cancer, as patients with these tumors are unlikely to experience metastasis. Our aim in this study was to determine if germline genetic variations could further differentiate colorectal cancer patients based on the long-term risk and timing of metastasis. Methods The patient cohort consisted of 379 stage I-III Caucasian colorectal cancer patients with microsatellite stable or MSI-low tumors. We performed univariable analysis on 810,622 common single nucleotide polymorphisms (SNPs) under different genetic models. Depending on the long-term metastasis-free survival probability estimates, we applied a mixture cure model, Cox proportional hazards regression model, or log-rank test. For SNPs reaching Bonferroni-corrected significance (p < 6.2 × 10− 8) having valid genetic models, multivariable analysis adjusting for significant baseline characteristics was conducted. Results After adjusting for significant baseline characteristics, specific genotypes of ten polymorphisms were significantly associated with time-to-metastasis. These polymorphisms are three intergenic SNPs, rs5749032 (p = 1.28 × 10− 10), rs2327990 (p = 9.59 × 10− 10), rs1145724 (p = 3 × 10− 8), and seven SNPs within the non-coding sequences of three genes: FHIT (p = 2.59 × 10− 9), EPHB1 (p = 8.23 × 10− 9), and MIR7515 (p = 4.87 × 10− 8). Conclusions Our results suggest novel associations of specific genotypes of SNPs with early metastasis in Caucasian colorectal cancer patients. These associations, once replicated in other patient cohorts, could assist in the development of personalized treatment strategies for colorectal cancer patients. Electronic supplementary material The online version of this article (10.1186/s12885-019-5346-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Michelle E Penney
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Patrick S Parfrey
- Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Sevtap Savas
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada.,Discipline of Oncology, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada
| | - Yildiz E Yilmaz
- Discipline of Genetics, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada. .,Discipline of Medicine, Faculty of Medicine, Memorial University of Newfoundland, St. John's, Canada. .,Department of Mathematics and Statistics, Faculty of Science, Memorial University of Newfoundland, St. John's, Canada.
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