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Zheng Y, Tang M, Deng Z, Cai P. Genetic polymorphisms and platinum-induced hematological toxicity: a systematic review. Front Pharmacol 2024; 15:1445328. [PMID: 39234108 PMCID: PMC11371761 DOI: 10.3389/fphar.2024.1445328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Accepted: 08/05/2024] [Indexed: 09/06/2024] Open
Abstract
Background Platinum-based chemotherapy bring severe hematological toxicity that can lead to dose reduction or discontinuation of therapy. Genetic variations have been reported to influence the risk and extent of hematological toxicity; however, the results are controversial and a comprehensive overview is lacking. This systematic review aimed to identify genetic biomarkers of platinum-induced hematological toxicity. Method Pubmed, Embase and Web of science database were systematically reviewed for studies that evaluated the association of genetic variants and platinum-related hematological toxicity in tumor patients with no prior history of chemotherapy or radiation, published from inception to the 28th of January 2022. The studies should have specific toxicity scoring system as well as defined toxicity end-point. The quality of reporting was assessed using the Strengthening the Reporting of Genetic Association Studies (STREGA) checklist. Results were summarized using narrative synthesis. Results 83 studies were eligible with over 682 single-nucleotide polymorphisms across 110 genes. The results are inconsistent and diverse with methodological issues including insufficient sample size, population stratification, various treatment schedule and toxicity end-point, and inappropriate statistics. 11 SNPs from 10 genes (ABCB1 rs1128503, GSTP1 rs1695, GSTM1 gene deletion, ERCC1 rs11615, ERCC1 rs3212986, ERCC2 rs238406, XPC rs2228001, XPCC1 rs25487, MTHFR rs1801133, MDM2 rs2279744, TP53 rs1042522) had consistent results in more than two independent populations. Among them, GSTP1 rs1695, ERCC1 rs11615, ERCC1 rs3212986, and XRCC1 rs25487 present the most promising results. Conclusion Even though the results are inconsistent and several methodological concerns exist, this systematic review identified several genetic variations that deserve validation in well-defined studies with larger sample size and robust methodology. Systematic Review Registration https://www.crd.york.ac.uk/, identifier CRD42021234164.
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Affiliation(s)
- Yi Zheng
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Mimi Tang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Zheng Deng
- Hunan Institute for Tuberculosis Control and Hunan Chest Hospital, Changsha, China
- Hunan Chest Hospital, Changsha, China
| | - Pei Cai
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
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Tu R, Zhong D, Li P, Li Y, Chen Z, Hu F, Yuan G, Chen Z, Yu S, Song J. PTPN13 rs989902 and CHEK2 rs738722 are associated with esophageal cancer. Ann Med 2023; 55:2281659. [PMID: 38039548 PMCID: PMC10836260 DOI: 10.1080/07853890.2023.2281659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 11/03/2023] [Indexed: 12/03/2023] Open
Abstract
PURPOSE Individual genetic background can play an essential role in determining the development of esophageal squamous cell carcinoma (ESCC). PTPN13 and CHEK2 play important roles in the pathogenesis of ESCC. This case-control study aimed to analyze the association between gene polymorphisms and ESCC susceptibility. METHODS DNA was extracted from the peripheral blood of patients. The Agena MassARRAY platform was used for the genotyping. Statistical analysis was conducted using the chi-squared test or Fisher's exact test, logistic regression analysis, and stratification analysis. RESULTS The 'G' allele of rs989902 (PTPN13) and the 'T' allele of rs738722 (CHEK2) were both associated with an increased risk of ESCC (rs989902: OR = 1.23, 95% CI = 1.02-1.47, p = 0.028; rs738722: OR = 1.28, 95% CI = 1.06-1.55, p = 0.011). Stratification analysis showed that SNPs (rs989902 and rs738722) were notably correlated with an increased risk of ESCC after stratification for age, sex, smoking, and drinking status. In addition, rs738722 might be associated with lower stage, while rs989902 had a lower risk of metastasis. CONCLUSION Our findings display that PTPN13 rs989902 and CHEK2 rs738722 are associated with an increased risk of ESCC in the Chinese Han population.
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Affiliation(s)
- Ruisha Tu
- Department of Gastrointestinal Surgery, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Dunjing Zhong
- Department of Gastroenterology, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Ping Li
- Department of Digestive Endoscopy Center, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Yongyu Li
- Department of Gastroenterology, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Zhuang Chen
- Department of Gastroenterology, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Feixiang Hu
- Department of Gastrointestinal Surgery, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Guihong Yuan
- Department of Gastroenterology, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Zhaowei Chen
- Department of Gastroenterology, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Shuyong Yu
- Department of Gastrointestinal Surgery, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Jian Song
- Department of Digestive Endoscopy Center, Hainan Cancer Hospital, Haikou, Hainan, China
- Department of Gastroenterology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong, China
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Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis. BIOLOGY 2022; 11:biology11071082. [PMID: 36101460 PMCID: PMC9313083 DOI: 10.3390/biology11071082] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 06/25/2022] [Accepted: 07/03/2022] [Indexed: 11/17/2022]
Abstract
The bioinformatic pipeline previously developed in our research laboratory is used to identify potential general and specific deregulated tumor genes and transcription factors related to the establishment and progression of tumoral diseases, now comparing lung cancer with other two types of cancer. Twenty microarray datasets were selected and analyzed separately to identify hub differentiated expressed genes and compared to identify all the deregulated genes and transcription factors in common between the three types of cancer and those unique to lung cancer. The winning DEGs analysis allowed to identify an important number of TFs deregulated in the majority of microarray datasets, which can become key biomarkers of general tumors and specific to lung cancer. A coexpression network was constructed for every dataset with all deregulated genes associated with lung cancer, according to DAVID’s tool enrichment analysis, and transcription factors capable of regulating them, according to oPOSSUM´s tool. Several genes and transcription factors are coexpressed in the networks, suggesting that they could be related to the establishment or progression of the tumoral pathology in any tissue and specifically in the lung. The comparison of the coexpression networks of lung cancer and other types of cancer allowed the identification of common connectivity patterns with deregulated genes and transcription factors correlated to important tumoral processes and signaling pathways that have not been studied yet to experimentally validate their role in lung cancer. The Kaplan–Meier estimator determined the association of thirteen deregulated top winning transcription factors with the survival of lung cancer patients. The coregulatory analysis identified two top winning transcription factors networks related to the regulatory control of gene expression in lung and breast cancer. Our transcriptomic analysis suggests that cancer has an important coregulatory network of transcription factors related to the acquisition of the hallmarks of cancer. Moreover, lung cancer has a group of genes and transcription factors unique to pulmonary tissue that are coexpressed during tumorigenesis and must be studied experimentally to fully understand their role in the pathogenesis within its very complex transcriptomic scenario. Therefore, the downstream bioinformatic analysis developed was able to identify a coregulatory metafirm of cancer in general and specific to lung cancer taking into account the great heterogeneity of the tumoral process at cellular and population levels.
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Li Q, Zhang P, Hu H, Huang H, Pan D, Mao G, Hu B. The DDR-related gene signature with cell cycle checkpoint function predicts prognosis, immune activity, and chemoradiotherapy response in lung adenocarcinoma. Respir Res 2022; 23:190. [PMID: 35840978 PMCID: PMC9288070 DOI: 10.1186/s12931-022-02110-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 07/09/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND As a DNA surveillance mechanism, cell cycle checkpoint has recently been discovered to be closely associated with lung adenocarcinoma (LUAD) prognosis. It is also an essential link in the process of DNA damage repair (DDR) that confers resistance to radiotherapy. Whether genes that have both functions play a more crucial role in LUAD prognosis remains unclear. METHODS In this study, DDR-related genes with cell cycle checkpoint function (DCGs) were selected to investigate their effects on the prognosis of LUAD. The TCGA-LUAD cohort and two GEO external validation cohorts (GSE31210 and GSE42171) were performed to construct a prognosis model based on the least absolute shrinkage and selection operator (LASSO) regression. Patients were divided into high-risk and low-risk groups based on the model. Subsequently, the multivariate COX regression was used to construct a prognostic nomogram. The ssGSEA, CIBERSORT algorithm, TIMER tool, CMap database, and IC50 of chemotherapeutic agents were used to analyze immune activity and responsiveness to chemoradiotherapy. RESULTS 4 DCGs were selected as prognostic signatures, and patients in the high-risk group had a lower overall survival (OS). The lower infiltration levels of immune cells and the higher expression levels of immune checkpoints appeared in the high-risk group. The damage repair pathways were upregulated, and chemotherapeutic agent sensitivity was poor in the high-risk group. CONCLUSIONS The 4-DCGs signature prognosis model we constructed could predict the survival rate, immune activity, and chemoradiotherapy responsiveness of LUAD patients.
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Affiliation(s)
- Quan Li
- Department of Radiation Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.,Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou Medical University, Wenzhou, 325035, China.,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou Medical University, Wenzhou, 325035, China.,Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Pan Zhang
- Department of Radiation Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.,Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou Medical University, Wenzhou, 325035, China.,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou Medical University, Wenzhou, 325035, China.,Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Huixiao Hu
- Department of Radiation Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.,Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou Medical University, Wenzhou, 325035, China.,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou Medical University, Wenzhou, 325035, China.,Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Hang Huang
- Department of Radiation Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China.,Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou Medical University, Wenzhou, 325035, China.,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou Medical University, Wenzhou, 325035, China.,Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Dong Pan
- Department of Dermatology, Duke University Medical Center, Durham, NC, 27710, USA
| | - Guangyun Mao
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China
| | - Burong Hu
- Department of Radiation Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, 325035, China. .,Zhejiang Provincial Key Laboratory of Watershed Sciences and Health, Wenzhou Medical University, Wenzhou, 325035, China. .,South Zhejiang Institute of Radiation Medicine and Nuclear Technology, Wenzhou Medical University, Wenzhou, 325035, China.
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Construction of a prognostic model for non-small-cell lung cancer based on ferroptosis-related genes. Biosci Rep 2021; 41:228647. [PMID: 33988228 PMCID: PMC8170652 DOI: 10.1042/bsr20210527] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 12/13/2022] Open
Abstract
We wished to construct a prognostic model based on ferroptosis-related genes and to simultaneously evaluate the performance of the prognostic model and analyze differences between high-risk and low-risk groups at all levels. The gene-expression profiles and relevant clinical data of patients with non-small-cell lung cancer (NSCLC) were downloaded from public databases. Differentially expressed genes (DEGs) were obtained by analyzing differences between cancer tissues and paracancerous tissues, and common genes between DEGs and ferroptosis-related genes were identified as candidate ferroptosis-related genes. Next, a risk-score model was constructed using univariate Cox analysis and least absolute shrinkage and selection operator (Lasso) analysis. According to the median risk score, samples were divided into high-risk and low-risk groups, and a series of bioinformatics analyses were conducted to verify the predictive ability of the model. Single-sample gene set enrichment analysis (ssGSEA) was used to investigate differences in immune status between high-risk and low-risk groups, and differences in gene mutations between the two groups were investigated. A risk-score model was constructed based on 21 ferroptosis-related genes. A Kaplan-Meier curve and receiver operating characteristic curve showed that the model had good prediction ability. Univariate and multivariate Cox analyses revealed that ferroptosis-related genes associated with the prognosis may be used as independent prognostic factors for the overall survival time of NSCLC patients. The pathways enriched with DEGs in low-risk and high-risk groups were analyzed, and the enriched pathways were correlated significantly with immunosuppressive status.
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Zheng Y, Deng Z, Tang M, Xiao D, Cai P. Impact of genetic factors on platinum-induced gastrointestinal toxicity. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2020; 786:108324. [PMID: 33339576 DOI: 10.1016/j.mrrev.2020.108324] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/09/2020] [Accepted: 07/14/2020] [Indexed: 01/20/2023]
Abstract
Severe gastrointestinal (GI) toxicity is a common side effect after platinum-based chemotherapy. The incidence and severity of GI toxicity vary among patients with the same chemotherapy. Genetic factors involved in platinum transport, metabolism, detoxification, DNA repair, cell cycle control, and apoptosis pathways may account for the interindividual difference in GI toxicity. The influence of gene polymorphisms in the platinum pathway on GI toxicity has been extensively analyzed. Variations in study sample size, ethnicity, design, treatment schedule, dosing, endpoint definition, and assessment of toxicity make it difficult to precisely interpret the results. Hence, we conducted a review to summarize the most recent pharmacogenomics studies of GI toxicity in platinum-based chemotherapy and identify the most promising avenues for further research.
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Affiliation(s)
- Yi Zheng
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, People's Republic of China
| | - Zheng Deng
- Hunan Institute for Tuberculosis Control, Changsha, 410008, People's Republic of China; Hunan Chest Hospital, Changsha, 410008, People's Republic of China
| | - Mimi Tang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Di Xiao
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, People's Republic of China
| | - Pei Cai
- Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, People's Republic of China.
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