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Rehman K, Iqbal Z, Zhiqin D, Ayub H, Saba N, Khan MA, Yujie L, Duan L. Analysis of genetic biomarkers, polymorphisms in ADME-related genes and their impact on pharmacotherapy for prostate cancer. Cancer Cell Int 2023; 23:247. [PMID: 37858151 PMCID: PMC10585889 DOI: 10.1186/s12935-023-03084-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 09/24/2023] [Indexed: 10/21/2023] Open
Abstract
Prostate cancer (PCa) is a non-cutaneous malignancy in males with wide variation in incidence rates across the globe. It is the second most reported cause of cancer death. Its etiology may have been linked to genetic polymorphisms, which are not only dominating cause of malignancy casualties but also exerts significant effects on pharmacotherapy outcomes. Although many therapeutic options are available, but suitable candidates identified by useful biomarkers can exhibit maximum therapeutic efficacy. The single-nucleotide polymorphisms (SNPs) reported in androgen receptor signaling genes influence the effectiveness of androgen receptor pathway inhibitors and androgen deprivation therapy. Furthermore, SNPs located in genes involved in transport, drug metabolism, and efflux pumps also influence the efficacy of pharmacotherapy. Hence, SNPs biomarkers provide the basis for individualized pharmacotherapy. The pharmacotherapeutic options for PCa include hormonal therapy, chemotherapy (Docetaxel, Mitoxantrone, Cabazitaxel, and Estramustine, etc.), and radiotherapy. Here, we overview the impact of SNPs reported in various genes on the pharmacotherapy for PCa and evaluate current genetic biomarkers with an emphasis on early diagnosis and individualized treatment strategy in PCa.
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Affiliation(s)
- Khurram Rehman
- Faculty of Pharmacy, Gomal University, D.I.Khan, Pakistan
| | - Zoya Iqbal
- Department of Orthopedics, The First Affiliated Hospital of Shenzhen University, Second People's Hospital, ShenzhenShenzhen, 518035, Guangdong, China
- Guangdong Provincial Research Center for Artificial Intelligence and Digital Orthopedic Technology, Shenzhen Second People's Hospital, Shenzhen, 518035, Guangdong, China
| | - Deng Zhiqin
- Department of Orthopedics, The First Affiliated Hospital of Shenzhen University, Second People's Hospital, ShenzhenShenzhen, 518035, Guangdong, China
- Guangdong Provincial Research Center for Artificial Intelligence and Digital Orthopedic Technology, Shenzhen Second People's Hospital, Shenzhen, 518035, Guangdong, China
| | - Hina Ayub
- Department of Gynae, Gomal Medical College, D.I.Khan, Pakistan
| | - Naseem Saba
- Department of Gynae, Gomal Medical College, D.I.Khan, Pakistan
| | | | - Liang Yujie
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, 518035, Guangdong, China.
| | - Li Duan
- Department of Orthopedics, The First Affiliated Hospital of Shenzhen University, Second People's Hospital, ShenzhenShenzhen, 518035, Guangdong, China.
- Guangdong Provincial Research Center for Artificial Intelligence and Digital Orthopedic Technology, Shenzhen Second People's Hospital, Shenzhen, 518035, Guangdong, China.
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Sun Y, Bae YE, Zhu J, Zhang Z, Zhong H, Cheng C, Deng Y, Wu C, Wu L. A Splicing Transcriptome-Wide Association Study Identifies Candidate Altered Splicing for Prostate Cancer Risk. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2023; 27:372-380. [PMID: 37486714 DOI: 10.1089/omi.2023.0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Prostate cancer (PCa) represents a huge public health burden among men. Many susceptibility genetic factors for PCa still remain unknown. In this study, we performed a large splicing transcriptome-wide association study (spTWAS) using three modeling strategies to develop alternative splicing genetic prediction models for identifying novel susceptibility loci and splicing introns for PCa risk by assessing 79,194 cases and 61,112 controls of European ancestry in the PRACTICAL, CRUK, CAPS, BPC3, and PEGASUS consortia. We identified 120 splicing introns of 97 genes showing an association with PCa risk at false discovery rate (FDR)-corrected threshold (FDR <0.05). Of them, 33 genes were enriched in PCa-related diseases and function categories. Fine-mapping analysis suggested that 21 splicing introns of 19 genes were likely causally associated with PCa risk. Thirty-five splicing introns of 34 novel genes were identified to be related to PCa susceptibility for the first time, and 11 of the genes were enriched in a cancer-related network. Our study identified novel loci and splicing introns associated with PCa risk, which can improve our understanding of the etiology of this common malignancy.
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Affiliation(s)
- Yanfa Sun
- College of Life Science, Longyan University, Longyan, P.R. China
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA
- Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Longyan, P.R. China
- Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan, P.R. China
| | - Ye Eun Bae
- Department of Statistics, Florida State University, Tallahassee, Florida, USA
| | - Jingjing Zhu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Zichen Zhang
- Department of Statistics, Florida State University, Tallahassee, Florida, USA
| | - Hua Zhong
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Chunmei Cheng
- College of Life Science, Longyan University, Longyan, P.R. China
| | - Youping Deng
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, Hawaii, USA
| | - Chong Wu
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, Hawaii, USA
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Shiota M, Akamatsu S, Narita S, Terada N, Fujimoto N, Eto M. Genetic Polymorphisms and Pharmacotherapy for Prostate Cancer. JMA J 2021; 4:99-111. [PMID: 33997443 PMCID: PMC8119070 DOI: 10.31662/jmaj.2021-0004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 01/15/2021] [Indexed: 11/17/2022] Open
Abstract
The therapeutic landscape of pharmacotherapy for prostate cancer has dramatically evolved, and multiple therapeutic options have become available for prostate cancer patients. Therefore, useful biomarkers to identify suitable candidates for treatment are required to maximize the efficacy of pharmacotherapy. Genetic polymorphisms such as single-nucleotide polymorphisms (SNPs) and tandem repeats have been shown to influence the therapeutic effects of pharmacotherapy for prostate cancer patients. For example, genetic polymorphisms in the genes involved in androgen receptor signaling are reported to be associated with the therapeutic outcome of androgen-deprivation therapy as well as androgen receptor-pathway inhibitors. In addition, SNPs in genes involved in drug metabolism and efflux pumps are associated with therapeutic effects of taxane chemotherapy. Thus, genetic polymorphisms such as SNPs are promising biomarkers to realize personalized medicine. Here, we overview the current findings on the influence of genetic polymorphisms on the outcome of pharmacotherapy for prostate cancer and discuss current issues as well as future visions in this field.
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Affiliation(s)
- Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shusuke Akamatsu
- Department of Urology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shintaro Narita
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Naoki Terada
- Department of Urology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Naohiro Fujimoto
- Department of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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