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Mendivelso González DF, Sánchez Villalobos SA, Ramos AE, Montero Ovalle WJ, Serrano López ML. Single Nucleotide Polymorphisms Associated with Prostate Cancer Progression: A Systematic Review. Cancer Invest 2024; 42:75-96. [PMID: 38055319 DOI: 10.1080/07357907.2023.2291776] [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: 08/01/2023] [Accepted: 12/03/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND New biomarkers of progression in patients with prostate cancer (PCa) are needed to improve their classification and clinical management. This systematic review investigated the relationship between single nucleotide polymorphisms (SNPs) and PCa progression. METHODS A keyword search was performed in Pubmed, EMBASE, Scopus, Web of Science, and Cochrane for publications between 2007 and 2022. We included articles with adjusted and significant associations, a median follow-up greater than or equal to 24 months, patients taken to radical prostatectomy (RP) as a first therapeutic option, and results presented based on biochemical recurrence (BCR). RESULTS In the 27 articles selected, 73 SNPs were identified in 39 genes, organized in seven functional groups. Of these, 50 and 23 SNPs were significantly associated with a higher and lower risk of PCa progression, respectively. Likewise, four haplotypes were found to have a significant association with PCa progression. CONCLUSION This article highlights the importance of SNPs as potential markers of PCa progression and their possible functional relationship with some genes relevant to its development and progression. However, most variants were identified only in cohorts from two countries; no additional studies reproduce these findings.
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Affiliation(s)
| | | | | | | | - Martha Lucía Serrano López
- Cancer Biology Research Group, Instituto Nacional de Cancerología, Bogotá, Colombia
- Department of Chemistry, Universidad Nacional de Colombia, Bogotá, Colombia
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2
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Buck SAJ, Meertens M, van Ooijen FMF, Oomen-de Hoop E, de Jonge E, Coenen MJH, Bergman AM, Koolen SLW, de Wit R, Huitema ADR, van Schaik RHN, Mathijssen RHJ. A common germline variant in CYP11B1 is associated with adverse clinical outcome of treatment with abiraterone or enzalutamide. Biomed Pharmacother 2023; 169:115890. [PMID: 37988848 DOI: 10.1016/j.biopha.2023.115890] [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: 08/25/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 11/23/2023] Open
Abstract
Extragonadal androgens play a pivotal role in prostate cancer disease progression on androgen receptor signaling inhibitors (ARSi), including abiraterone and enzalutamide. We aimed to investigate if germline variants in genes involved in extragonadal androgen synthesis contribute to resistance to ARSi and may predict clinical outcomes on ARSi. We included ARSi naive metastatic prostate cancer patients treated with abiraterone or enzalutamide and determined 18 germline variants in six genes involved in extragonadal androgen synthesis. Variants were tested in univariate and multivariable analysis for the relation with overall survival (OS) and time to progression (TTP) by Cox regression, and PSA response by logistic regression. A total of 275 patients were included. From the investigated genes CYP17A1, HSD3B1, CYP11B1, AKR1C3, SRD5A1 and SRD5A2, only rs4736349 in CYP11B1 in homozygous form (TT), present in 54 patients (20%), was related with a significantly worse OS (HR = 1.71, 95% CI 1.09 - 2.68, p = 0.019) and TTP (HR = 1.50, 95% CI 1.08 - 2.09, p = 0.016), and was related with a significantly less frequent PSA response (OR = 0.48, 95% CI 0.24 - 0.96, p = 0.038) on abiraterone or enzalutamide in a multivariable analysis. The frequent germline variant rs4736349 in CYP11B1 is, as homozygote, an independent negative prognostic factor for treatment with abiraterone or enzalutamide in ARSi naive metastatic prostate cancer patients. Our findings warrant prospective investigation of this potentially important predictive biomarker.
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Affiliation(s)
- Stefan A J Buck
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands.
| | - Marinda Meertens
- Department of Pharmacy & Pharmacology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands
| | | | - Esther Oomen-de Hoop
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands
| | - Evert de Jonge
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marieke J H Coenen
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Andries M Bergman
- Department of Medical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands
| | - Stijn L W Koolen
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands; Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ronald de Wit
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands
| | - Alwin D R Huitema
- Department of Pharmacy & Pharmacology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands; Department of Pharmacology, Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, the Netherlands
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3
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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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4
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Shi JY, Bi YY, Yu BF, Wang QF, Teng D, Wu DN. Alternative Splicing Events in Tumor Immune Infiltration in Colorectal Cancer. Front Oncol 2021; 11:583547. [PMID: 33996533 PMCID: PMC8117221 DOI: 10.3389/fonc.2021.583547] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 03/31/2021] [Indexed: 01/05/2023] Open
Abstract
Despite extensive research, the exact mechanisms involved in colorectal cancer (CRC) etiology and pathogenesis remain unclear. This study aimed to examine the correlation between tumor-associated alternative splicing (AS) events and tumor immune infiltration (TII) in CRC. We analyzed transcriptome profiling and clinical CRC data from The Cancer Genome Atlas (TCGA) database and lists of AS-related and immune-related signatures from the SpliceSeq and Innate databases, respectively to develop and validate a risk model of differential AS events and subsequently a TII risk model. We then conducted a two-factor survival analysis to study the association between TII and AS risk and evaluated the associations between immune signatures and six types of immune cells based on the TIMER database. Subsequently, we studied the distribution of six types of TII cells in high- and low-risk groups for seven AS events and in total. We obtained the profiles of AS events/genes for 484 patients, which included 473 CRC tumor samples and 41 corresponding normal samples, and detected 22581 AS events in 8122 genes. Exon Skip (ES) (8446) and Mutually Exclusive Exons (ME) (74) exhibited the most and fewest AS events, respectively. We then classified the 433 patients with CRC into low-risk (n = 217) and high-risk (n = 216) groups based on the median risk score in different AS events. Compared with patients with low-risk scores (mortality = 11.8%), patients with high-risk scores were associated with poor overall survival (mortality = 27.6%). The risk score, cancer stage, and pathological stage (T, M, and N) were closely correlated with prognosis in patients with CRC (P < 0.001). We identified 6479 differentially expressed genes from the transcriptome profiles of CRC and intersected 468 differential immune-related signatures. High-AS-risk and high-TII-risk predicted a poor prognosis in CRC. Different AS types were associated with different TII risk characteristics. Alternate Acceptor site (AA) and Alternate Promoter (AP) events directly affected the concentration of CD4T cells, and the level of CD8T cells was closely correlated with Alternate Terminator (AT) and Exon Skip (ES) events. Thus, the concentration of CD4T and CD8T cells in the CRC immune microenvironment was not specifically modulated by AS. However, B cell, dendritic cell, macrophage, and neutrophilic cell levels were strongly correlated with AS events. These results indicate adverse associations between AS event risk levels and immune cell infiltration density. Taken together, our findings show a clear association between tumor-associated alternative splicing and immune cell infiltration events and patient outcome and could form a basis for the identification of novel markers and therapeutic targets for CRC and other cancers in the future.
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Affiliation(s)
- Jian-Yu Shi
- Department of Proctology, Ping Yi People's Hospital, Linyi, China
| | - Yan-Yan Bi
- Department of Proctology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Ji Nan, China
| | - Bian-Fang Yu
- Department of Proctology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Ji Nan, China
| | - Qing-Feng Wang
- Department of Basic Pharmacology, College of Integration of Traditional and Western Medicine, Liaoning University of Traditional Chinese Medicine, Shenyang, China
| | - Dan Teng
- Artificial Intelligence and Big Data College, HE University, Shenyang, China
| | - Dong-Ning Wu
- Clinical Evaluation Center, Chinese Academy of Chinese Medical Sciences, Beijing, China
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5
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Allemailem KS, Almatroudi A, Alrumaihi F, Makki Almansour N, Aldakheel FM, Rather RA, Afroze D, Rah B. Single nucleotide polymorphisms (SNPs) in prostate cancer: its implications in diagnostics and therapeutics. Am J Transl Res 2021; 13:3868-3889. [PMID: 34017579 PMCID: PMC8129253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/09/2021] [Indexed: 06/12/2023]
Abstract
Prostate cancer is one of the most frequently diagnosed malignancies in developed countries and approximately 248,530 new cases of prostate cancer are likely to be diagnosed in the United States in 2021. During the late 1990s and 2000s, the prostate cancer-related death rate has decreased by 4% per year on average because of advancements in prostate-specific antigen (PSA) testing. However, the non-specificity of PSA to distinguish between benign and malignant forms of cancer is a major concern in the management of prostate cancer. Despite other risk factors in the pathogenesis of prostate cancer, recent advancement in molecular genetics suggests that genetic heredity plays a crucial role in prostate carcinogenesis. Approximately, 60% of heritability and more than 100 well-recognized single-nucleotide-polymorphisms (SNPs) have been found to be associated with prostate cancer and constitute a major risk factor in the development of prostate cancer. Recent findings revealed that a low to moderate effect on the progression of prostate cancer of individual SNPs was observed compared to a strong progressive effect when SNPs were in combination. Here, in this review, we made an attempt to critically analyze the role of SNPs and associated genes in the development of prostate cancer and their implications in diagnostics and therapeutics. A better understanding of the role of SNPs in prostate cancer susceptibility may improve risk prediction, enhance fine-mapping, and furnish new insights into the underlying pathophysiology of prostate cancer.
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Affiliation(s)
- Khaled S Allemailem
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim UniversityBuraydah, Saudi Arabia
| | - Ahmad Almatroudi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim UniversityBuraydah, Saudi Arabia
| | - Faris Alrumaihi
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim UniversityBuraydah, Saudi Arabia
| | - Nahlah Makki Almansour
- Department of Biology, College of Science, University of Hafr Al BatinHafr Al Batin, Saudi Arabia
| | - Fahad M Aldakheel
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud UniversityRiyadh, Saudi Arabia
- Prince Sattam Chair for Epidemiology and Public Health Research, College of Medicine, King Saud UniversityRiyadh, Saudi Arabia
| | - Rafiq Ahmad Rather
- Advanced Centre for Human Genetics, Sher-i-Kashmir Institute of Medical ScienceSrinagar, Jammu and Kashmir, India
| | - Dil Afroze
- Advanced Centre for Human Genetics, Sher-i-Kashmir Institute of Medical ScienceSrinagar, Jammu and Kashmir, India
| | - Bilal Rah
- Department of Medical Laboratories, College of Applied Medical Sciences, Qassim UniversityBuraydah, Saudi Arabia
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6
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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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7
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Johnson E, Nussenzveig R, Agarwal N, Swami U. Germline variants and response to systemic therapy in advanced prostate cancer. Pharmacogenomics 2020; 21:75-81. [PMID: 31849283 DOI: 10.2217/pgs-2019-0125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Our current understanding of prostate cancer pharmacogenomics is growing at a rapid pace. Apart from evaluating relevant biomarkers and genomic alterations in tumor tissues, an increasing focus is being placed on decoding the impact of germline alterations on prostate cancer and its treatment. Herein we summarize various germline variants that have shown to associate with response to systemic therapy in men with advanced prostate cancer. Covered biomarkers include HSD3B1, SLCO2B1, SULT1E1, TRMT11, CYP17A1, CYP1B1, genes involved in homologous recombination and DNA mismatch repair.
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Affiliation(s)
- Eric Johnson
- Division of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Roberto Nussenzveig
- Division of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Neeraj Agarwal
- Division of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - Umang Swami
- Division of Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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8
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Iacovelli R, Ciccarese C, Schinzari G, Rossi E, Maiorano BA, Astore S, D'Angelo T, Cannella A, Pirozzoli C, Teberino MA, Pierconti F, Martini M, Tortora G. Biomarkers of response to advanced prostate cancer therapy. Expert Rev Mol Diagn 2020; 20:195-205. [PMID: 31986925 DOI: 10.1080/14737159.2020.1707669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Introduction: Prostate cancer (PCa) is one of the most common adult malignancies worldwide, and a major leading cause of cancer-related death in men in Western societies. In the last years, the prognosis of advanced PCa patients has been impressively improved thanks to the development of different therapeutic agents, including taxanes (docetaxel and cabazitaxel), second-generation anti-hormonal agents (abiraterone and enzalutamide), and the radiopharmaceutical Radium-223. However, great efforts are still needed to properly select the most appropriate treatment for each single patient.Areas covered: Several prognostic or predictive biomarkers have been studied, none of which has an established validated role in daily clinical practice. This paper analyzed the major biomarkers (including PSA, androgen receptor (AR) splice variants, βIII-tubulin, ALP, circulating tumor cells, and DNA repair genes) with a potential prognostic and/or predictive role in advanced PCa patients.Expert commentary: Surrogate biomarkers - measurable, reproducible, closely associated with tumor behavior and linked to relevant clinical outcomes - are urgently needed to improve PCa patient management.
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Affiliation(s)
- Roberto Iacovelli
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.,Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Chiara Ciccarese
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.,Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Giovanni Schinzari
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.,Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Ernesto Rossi
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Brigida Anna Maiorano
- Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Serena Astore
- Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Tatiana D'Angelo
- Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Antonella Cannella
- Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
| | - Celeste Pirozzoli
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Maria Anna Teberino
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Francesco Pierconti
- Institute of Pathological Anatomy, Catholic University of the Sacred Heart, Rome, Italy
| | - Maurizio Martini
- Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy.,Institute of Pathological Anatomy, Catholic University of the Sacred Heart, Rome, Italy
| | - Giampaolo Tortora
- Department of Medical Oncology, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy.,Department of Medical Oncology, Catholic University of the Sacred Heart, Rome, Italy
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9
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Esteve-Puig R, Bueno-Costa A, Esteller M. Writers, readers and erasers of RNA modifications in cancer. Cancer Lett 2020; 474:127-137. [PMID: 31991154 DOI: 10.1016/j.canlet.2020.01.021] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 01/09/2020] [Accepted: 01/21/2020] [Indexed: 02/08/2023]
Abstract
Although cancer was originally considered a disease driven only by genetic mutations, it has now been proven that it is also an epigenetic disease driven by DNA hypermethylation-associated silencing of tumor suppressor genes and aberrant histone modifications. Very recently, a third component has emerged: the so-called epitranscriptome understood as the chemical modifications of RNA that regulate and alter the activity of RNA molecules. In this regard, the study of genetic and epigenetic disruption of the RNA-modifying proteins is gaining momentum in advancing our understanding of cancer biology. Furthermore, the development of epitranscriptomic anticancer drugs could lead to new promising and unexpected therapeutic strategies for oncology in the coming years.
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Affiliation(s)
- Rosaura Esteve-Puig
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Alberto Bueno-Costa
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Barcelona, Catalonia, Spain; Centro de Investigacion Biomedica en Red Cancer (CIBERONC), Madrid, Spain; Institucio Catalana de Recerca I Estudis Avançats (ICREA), Barcelona, Catalonia, Spain; Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain.
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10
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Yadav S, Hart SN, Hu C, Hillman D, Lee KY, Gnanaolivu R, Na J, Polley EC, Couch FJ, Kohli M. Contribution of Inherited DNA-Repair Gene Mutations to Hormone-Sensitive and Castrate-Resistant Metastatic Prostate Cancer and Implications for Clinical Outcome. JCO Precis Oncol 2019; 3:PO.19.00067. [PMID: 32923857 PMCID: PMC7446380 DOI: 10.1200/po.19.00067] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2019] [Indexed: 12/30/2022] Open
Abstract
PURPOSE To compare the prevalence of germline mutations in metastatic hormone-sensitive prostate cancer (mHSPC) and metastatic castrate-resistant prostate cancer (mCRPC) and assess the impact of mutations on progression to castration resistance and overall survival. METHODS Targeted sequencing of germline DNA from 704 men (221 at the time of mHSPC and 483 at the time of mCRPC) enrolled in two advanced prostate cancer registries at Mayo Clinic between 2003 and 2013 was performed for 21 predisposition genes. Frequencies of pathogenic mutations were compared in patients and reference controls to identify genes enriched in metastatic prostate cancer. Multivariable Cox proportional hazards regression was used to identify predictors of progression to mCRPC and overall survival. RESULTS Sixty-eight germline mutations in 12 genes were identified in 66 men (9.4%). Mutations in ATM, BRCA2, CHEK2, FANCM, and TP53 were significantly enriched (odds ratio greater than 2.0) in the metastatic cohorts compared with reference controls. The frequency of germline mutations was similar for patients with mHSPC and mCRPC (11.8% v 8.3%; P = .16). The median time to progression from mHSPC to mCRPC was 23.1 and 32.5 months for patients with and without mutations, respectively (P = .96). Although older age at diagnosis, Gleason score greater than 7, elevated alkaline phosphatase level, and high volume of disease were associated with shorter duration of progression to mCRPC and poor overall survival, mutation status was not (progression to mCRPC hazard ratio, 0.81; 95% CI, 0.61 to 1.09; P = .17; overall survival hazard ratio, 1.00; 95% CI, 0.75 to 1.34; P = .98). CONCLUSION Similarly elevated rates of germline predisposition gene mutations in mHSPC and mCRPC suggest that germline genetic testing may help to guide medical management for all patients with advanced metastatic prostate cancer. Mutation status was not associated with shorter progression to mCRPC or poor overall survival.
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Affiliation(s)
| | | | | | | | | | | | - Jie Na
- Mayo Clinic, Rochester, MN
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11
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Kohli M, Oberg AL, Mahoney DW, Riska SM, Sherwood R, Zhang Y, Zenka RM, Sahasrabudhe D, Qin R, Zhang S. Serum Proteomics on the Basis of Discovery of Predictive Biomarkers of Response to Androgen Deprivation Therapy in Advanced Prostate Cancer. Clin Genitourin Cancer 2019; 17:248-253.e7. [PMID: 31103340 DOI: 10.1016/j.clgc.2019.03.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2018] [Revised: 03/11/2019] [Accepted: 03/11/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND We investigated the serum proteome of hormone-sensitive prostate cancer patients to determine candidate biomarkers associated with androgen deprivation therapy (ADT) efficacy. PATIENTS AND METHODS Serum proteomes generated using isobaric mass tags for relative and absolute quantitation were analyzed using reverse-phase liquid chromatography coupled to tandem mass spectrometry. The advanced hormone-sensitive prostate cancer cohorts studied were: (1) untreated "paired" pre-ADT and 4-month post-ADT hormone-sensitive patients (n = 15); (2) "early ADT failure" patients (n = 10) in whom ADT treatment failed within a short period of time; and (3) "late ADT failure" patients (n = 10) in whom ADT treatment failed after a prolonged response time. Differential abundance was assessed, and ingenuity pathway analysis (IPA) was used to identify interaction networks in selected candidates from these comparisons. RESULTS Between "post-ADT" and combined "early" and "late" ADT failure groups 149 differentially detected candidates were observed, and between "early" and "late" ADT failure groups 98 candidates were observed; 47 candidates were common in both comparisons. IPA network enrichment analysis of the 47 candidates identified 3 interaction networks (P < .01) including 17-β-estradiol, nuclear factor kappa-light-chain enhancer of activated B cells complex, and P38 mitogen-activated protein kinases as pathways with potential markers of response to ADT. CONCLUSION A global proteomic analysis identified pathways with markers of ADT response, which will need validation in independent data sets.
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Affiliation(s)
- Manish Kohli
- Department of Medical Oncology, Mayo Clinic, Rochester, MN.
| | - Ann L Oberg
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | - Shaun M Riska
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Robert Sherwood
- Institute for Biotechnology and Life Science Technologies, Cornell University, Ithaca, NY
| | - Yuzi Zhang
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | | | - Rui Qin
- Clinical Biostatistics, Janssen Pharmaceuticals, Raritan, NJ
| | - Sheng Zhang
- Institute for Biotechnology and Life Science Technologies, Cornell University, Ithaca, NY.
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12
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Vasilieva EN, Laptev IG, Sergiev PV, Dontsova OA. The Common Partner of Several Methyltransferases Modifying the Components of The Eukaryotic Translation Apparatus. Mol Biol 2018. [DOI: 10.1134/s0026893318060171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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13
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14
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Cozar J, Robles-Fernandez I, Martinez-Gonzalez L, Pascual-Geler M, Rodriguez-Martinez A, Serrano M, Lorente J, Alvarez-Cubero M. Genetic markers a landscape in prostate cancer. MUTATION RESEARCH-REVIEWS IN MUTATION RESEARCH 2018; 775:1-10. [DOI: 10.1016/j.mrrev.2017.11.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 11/21/2017] [Accepted: 11/28/2017] [Indexed: 12/19/2022]
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15
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Bourgeois G, Létoquart J, van Tran N, Graille M. Trm112, a Protein Activator of Methyltransferases Modifying Actors of the Eukaryotic Translational Apparatus. Biomolecules 2017; 7:biom7010007. [PMID: 28134793 PMCID: PMC5372719 DOI: 10.3390/biom7010007] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 01/16/2017] [Accepted: 01/18/2017] [Indexed: 12/17/2022] Open
Abstract
Post-transcriptional and post-translational modifications are very important for the control and optimal efficiency of messenger RNA (mRNA) translation. Among these, methylation is the most widespread modification, as it is found in all domains of life. These methyl groups can be grafted either on nucleic acids (transfer RNA (tRNA), ribosomal RNA (rRNA), mRNA, etc.) or on protein translation factors. This review focuses on Trm112, a small protein interacting with and activating at least four different eukaryotic methyltransferase (MTase) enzymes modifying factors involved in translation. The Trm112-Trm9 and Trm112-Trm11 complexes modify tRNAs, while the Trm112-Mtq2 complex targets translation termination factor eRF1, which is a tRNA mimic. The last complex formed between Trm112 and Bud23 proteins modifies 18S rRNA and participates in the 40S biogenesis pathway. In this review, we present the functions of these eukaryotic Trm112-MTase complexes, the molecular bases responsible for complex formation and substrate recognition, as well as their implications in human diseases. Moreover, as Trm112 orthologs are found in bacterial and archaeal genomes, the conservation of this Trm112 network beyond eukaryotic organisms is also discussed.
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Affiliation(s)
- Gabrielle Bourgeois
- Laboratoire de Biochimie, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau CEDEX, France.
| | - Juliette Létoquart
- Laboratoire de Biochimie, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau CEDEX, France.
- De Duve Institute, Université Catholique de Louvain, avenue Hippocrate 75, 1200 Brussels, Belgium.
| | - Nhan van Tran
- Laboratoire de Biochimie, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau CEDEX, France.
| | - Marc Graille
- Laboratoire de Biochimie, Ecole polytechnique, CNRS, Université Paris-Saclay, 91128 Palaiseau CEDEX, France.
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16
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Zhang BY, Riska SM, Mahoney DW, Costello BA, Kohli R, Quevedo JF, Cerhan JR, Kohli M. Germline genetic variation in JAK2 as a prognostic marker in castration-resistant prostate cancer. BJU Int 2016; 119:489-495. [PMID: 27410686 DOI: 10.1111/bju.13584] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To evaluate the prognostic significance of germline variation in candidate genes in patients with castration-resistant prostate cancer (CRPC). METHODS Germline DNA was extracted from peripheral blood mononuclear cells of patients with CRPC enrolled in a clinically annotated registry. Fourteen candidate genes implicated in either initiation or progression of prostate cancer were tagged using single nucleotide polymorphisms (SNPs) from HapMap with a minor allele frequency of >5%. The primary endpoint was overall survival (OS), defined as time from development of CRPC to death. Principal component analysis was used for gene levels tests of significance. For SNP-level results the per allele hazard ratios (HRs) and 95% confidence intervals (CIs) under the additive allele model were estimated using Cox regression, adjusted for age at CRPC and Gleason score (GS). RESULTS A total of 240 patients with CRPC were genotyped (14 genes; 84 SNPs). The median (range) age of the cohort was 69 (43-93) years. The GS distribution was 55% with GS ≥8, 32% with GS = 7 and 13% with GS <7 or unknown. The median (interquartile range) time from castration resistance to death for the cohort was 2.67 (1.6-4.07) years (144 deaths). At the gene level, a single gene, JAK2 was associated with OS (P < 0.01), and 11 of 18 JAK2 SNPs were individually associated with OS after adjustment for age and GS. A multivariate model consisting of age, GS, rs2149556 (HR 0.67; 95% CI 0.38-1.18) and rs4372063 (HR 2.17; 95% CI 1.25-3.76) was constructed to predict survival in patients with CRPC (concordance of 0.69, P < 3.2 × 10-9 ). CONCLUSIONS Germline variation in the JAK2 gene was associated with survival in patients with CRPC and warrants further validation as a potential prognostic biomarker.
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Affiliation(s)
- Ben Y Zhang
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Shaun M Riska
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Douglas W Mahoney
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Manish Kohli
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
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Common Genetic Variation in CYP17A1 and Response to Abiraterone Acetate in Patients with Metastatic Castration-Resistant Prostate Cancer. Int J Mol Sci 2016; 17:ijms17071097. [PMID: 27409606 PMCID: PMC4964473 DOI: 10.3390/ijms17071097] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 06/24/2016] [Accepted: 07/05/2016] [Indexed: 02/07/2023] Open
Abstract
Treatment with abiraterone acetate and prednisone (AA/P) prolongs survival in metastatic castration-resistant prostate cancer (mCRPC) patients. We evaluated the genetic variation in CYP17A1 as predictive of response to AA/P. A prospective collection of germline DNA prior to AA/P initiation and follow-up of a mCRPC cohort was performed. Five common single-nucleotide polymorphisms (SNPs) in CYP17A1 identified using a haplotype-based tagging algorithm were genotyped. Clinical outcomes included biochemical response and time to biochemical progression on AA/P. Logistic regression was used to assess the association between tag SNPs and biochemical response. Proportional hazards regression was used to assess the association between tag SNPs and time to biochemical progression. Odds or hazard ratio per minor allele were estimated and p-values below 0.05 were considered statistically significant. Germline DNA was successfully genotyped for four tag SNPs in 87 patients. The median age was 73 years (54-90); the median prostate-specific antigen was 66 ng/dL (0.1-99.9). A single SNP, rs2486758, was associated with lower odds of experiencing a biochemical response (Odds ratio 0.22, 95% confidence interval 0.07-0.63, p = 0.005) and a shorter time to biochemical progression (Hazard ratio 2.23, 95% confidence interval 1.39-3.56, p < 0.001). This tag SNP located in the promoter region of CYP17A1 will need further validation as a predictive biomarker for AA/P therapy.
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18
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Agarwal N, Alex AB, Farnham JM, Patel S, Gill D, Buckley TH, Stephenson RA, Cannon-Albright L. Inherited Variants in SULT1E1 and Response to Abiraterone Acetate by Men with Metastatic Castration Refractory Prostate Cancer. J Urol 2016; 196:1112-6. [PMID: 27150425 DOI: 10.1016/j.juro.2016.04.079] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/15/2016] [Indexed: 10/21/2022]
Abstract
PURPOSE Germline variations in genes involved in androgen biosynthesis and metabolic pathways may predict the response to abiraterone acetate in men with metastatic, castration refractory prostate cancer. The variations may serve as prognostic and predictive biomarkers to allow for more individualized therapy. MATERIALS AND METHODS We evaluated 832 single nucleotide polymorphisms from the OmniExpress genotyping platform (Illumina®) in the boundaries of 61 candidate genes reported to be involved in the androgen metabolic pathway. The purpose was to investigate them for an association with time to treatment failure in 68 white men with metastatic, castration refractory prostate cancer undergoing treatment with abiraterone acetate. Cox proportional hazard analysis was used with Gleason score, age, level of alkaline phosphatase and prostate specific antigen at treatment initiation as covariates. Each single nucleotide polymorphism was assessed using an allele carriage genetic model in which carriage of 1 or more minor alleles contributes to increased risk. Subset analyses were done to determine whether metastasis site, or prior treatment with ketoconazole or docetaxel would interact with the single nucleotide polymorphisms investigated. RESULTS Six single nucleotide polymorphisms in the estrogen sulfotransferase gene SULT1E1 were associated with time to treatment failure on abiraterone acetate therapy after false discovery rate (q value) correction for multiple testing while controlling for Gleason score, age, level of alkaline phosphatase and prostate specific antigen at treatment initiation (q <0.05). CONCLUSIONS Single nucleotide polymorphisms in SULT1E1 were significantly associated with time to treatment failure in men on abiraterone acetate therapy. The single nucleotide polymorphisms may serve as predictive markers for treatment with abiraterone acetate.
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Affiliation(s)
- Neeraj Agarwal
- Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
| | - Anitha B Alex
- Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - James M Farnham
- Division of Genetic Epidemiology, University of Utah, Salt Lake City, Utah
| | - Shiven Patel
- Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - David Gill
- Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Tyler H Buckley
- Division of Medical Oncology, Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
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Elishmereni M, Kheifetz Y, Shukrun I, Bevan GH, Nandy D, McKenzie KM, Kohli M, Agur Z. Predicting time to castration resistance in hormone sensitive prostate cancer by a personalization algorithm based on a mechanistic model integrating patient data. Prostate 2016; 76:48-57. [PMID: 26419619 DOI: 10.1002/pros.23099] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Accepted: 09/15/2015] [Indexed: 01/27/2023]
Abstract
BACKGROUND Prostate cancer (PCa) is a leading cause of cancer death of men worldwide. In hormone-sensitive prostate cancer (HSPC), androgen deprivation therapy (ADT) is widely used, but an eventual failure on ADT heralds the passage to the castration-resistant prostate cancer (CRPC) stage. Because predicting time to failure on ADT would allow improved planning of personal treatment strategy, we aimed to develop a predictive personalization algorithm for ADT efficacy in HSPC patients. METHODS A mathematical mechanistic model for HSPC progression and treatment was developed based on the underlying disease dynamics (represented by prostate-specific antigen; PSA) as affected by ADT. Following fine-tuning by a dataset of ADT-treated HSPC patients, the model was embedded in an algorithm, which predicts the patient's time to biochemical failure (BF) based on clinical metrics obtained before or early in-treatment. RESULTS The mechanistic model, including a tumor growth law with a dynamic power and an elaborate ADT-resistance mechanism, successfully retrieved individual time-courses of PSA (R(2) = 0.783). Using the personal Gleason score (GS) and PSA at diagnosis, as well as PSA dynamics from 6 months after ADT onset, and given the full ADT regimen, the personalization algorithm accurately predicted the individual time to BF of ADT in 90% of patients in the retrospective cohort (R(2) = 0.98). CONCLUSIONS The algorithm we have developed, predicting biochemical failure based on routine clinical tests, could be especially useful for patients destined for short-lived ADT responses and quick progression to CRPC. Prospective studies must validate the utility of the algorithm for clinical decision-making.
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Affiliation(s)
- Moran Elishmereni
- Institute for Medical Biomathematics (IMBM), Bene Ataroth, Israel
- Optimata Ltd., Bene Ataroth, Israel
| | | | | | | | | | | | | | - Zvia Agur
- Institute for Medical Biomathematics (IMBM), Bene Ataroth, Israel
- Optimata Ltd., Bene Ataroth, Israel
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20
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Sissung TM, Price DK, Del Re M, Ley AM, Giovannetti E, Figg WD, Danesi R. Genetic variation: effect on prostate cancer. BIOCHIMICA ET BIOPHYSICA ACTA 2014; 1846:446-56. [PMID: 25199985 PMCID: PMC4260983 DOI: 10.1016/j.bbcan.2014.08.007] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2014] [Revised: 08/27/2014] [Accepted: 08/28/2014] [Indexed: 02/09/2023]
Abstract
The crucial role of androgens in the development of prostate cancer is well established. The aim of this review is to examine the role of constitutional (germline) and tumor-specific (somatic) polymorphisms within important regulatory genes of prostate cancer. These include genes encoding enzymes of the androgen biosynthetic pathway, the androgen receptor gene, genes that encode proteins of the signal transduction pathways that may have a role in disease progression and survival, and genes involved in prostate cancer angiogenesis. Characterization of deregulated pathways critical to cancer cell growth have lead to the development of new treatments, including the CYP17 inhibitor abiraterone and clinical trials using novel drugs that are ongoing or recently completed [1]. The pharmacogenetics of the drugs used to treat prostate cancer will also be addressed. This review will define how germline polymorphisms are known affect a multitude of pathways, and therefore phenotypes, in prostate cancer etiology, progression, and treatment.
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Affiliation(s)
- Tristan M Sissung
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Douglas K Price
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marzia Del Re
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - Ariel M Ley
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Elisa Giovannetti
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - William D Figg
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Romano Danesi
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
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21
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Van den Broeck T, Joniau S, Clinckemalie L, Helsen C, Prekovic S, Spans L, Tosco L, Van Poppel H, Claessens F. The role of single nucleotide polymorphisms in predicting prostate cancer risk and therapeutic decision making. BIOMED RESEARCH INTERNATIONAL 2014; 2014:627510. [PMID: 24701578 PMCID: PMC3950427 DOI: 10.1155/2014/627510] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/06/2013] [Accepted: 01/07/2014] [Indexed: 12/20/2022]
Abstract
Prostate cancer (PCa) is a major health care problem because of its high prevalence, health-related costs, and mortality. Epidemiological studies have suggested an important role of genetics in PCa development. Because of this, an increasing number of single nucleotide polymorphisms (SNPs) had been suggested to be implicated in the development and progression of PCa. While individual SNPs are only moderately associated with PCa risk, in combination, they have a stronger, dose-dependent association, currently explaining 30% of PCa familial risk. This review aims to give a brief overview of studies in which the possible role of genetic variants was investigated in clinical settings. We will highlight the major research questions in the translation of SNP identification into clinical practice.
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Affiliation(s)
- Thomas Van den Broeck
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Liesbeth Clinckemalie
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Christine Helsen
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Stefan Prekovic
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Lien Spans
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
| | - Lorenzo Tosco
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Hendrik Van Poppel
- Department of Urology, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Frank Claessens
- Laboratory of Molecular Endocrinology, Department of Cellular and Molecular Medicine, KU Leuven, Campus Gasthuisberg O&N1, P.O. Box 901, Herestraat 49, 3000 Leuven, Belgium
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22
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Germline genetic variants associated with prostate cancer and potential relevance to clinical practice. Recent Results Cancer Res 2014; 202:9-26. [PMID: 24531773 DOI: 10.1007/978-3-642-45195-9_2] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The inherited link of prostate cancer predisposition has been supported using data from early epidemiological studies, as well as from familial and twin studies. Early linkage analyses and candidate gene approaches to identify these variants yielded mixed results. Since then, multiple genetic variants associated with prostate cancer susceptibility have now been found from genome-wide association studies (GWAS). Their clinical utility, however, remains unknown. It is recognised that collaborative efforts are needed to ensure adequate sample sizes are available to definitively investigate the genetic-clinical interactions. These could have important implications for public health as well as individualised prostate cancer management strategies. With the costs of genotyping decreasing and direct-to-consumer testing already offered for these common variants, it is envisaged that a lot of attention will be focussed in this area. These results will enable more refined risk stratification which will be important for targeting screening and prevention to higher risk groups. Ascertaining their clinical role remains an important goal for the GWAS community with international consortia now established, pooling efforts and resources to move this field forward.
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Biomarker-based targeting of the androgen-androgen receptor axis in advanced prostate cancer. Adv Urol 2012; 2012:781459. [PMID: 22956944 PMCID: PMC3432332 DOI: 10.1155/2012/781459] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2012] [Accepted: 06/09/2012] [Indexed: 12/18/2022] Open
Abstract
Recent therapeutic advances for managing advanced prostate cancer include the successful targeting of the androgen-AR axis with several new drugs in castrate resistant prostate cancer including abiraterone acetate and enzalutamide (MDV3100). This translational progress from “bench to bed-side” has resulted in an enlarging repertoire of novel and traditional drug choices now available for use in advanced prostate cancer therapeutics, which has had a positive clinical impact in prolonging longevity and quality of life of advanced prostate cancer patients. In order to further the clinical utility of these drugs, development of predictive biomarkers guiding individual therapeutic choices remains an ongoing challenge. This paper will summarize the potential in developing predictive biomarkers based on the pathophysiology of the androgen-AR axis in tumor tissue from patients with advanced prostate cancer as well as inherited variation in the patient's genome. Specific examples of rational clinical trial designs incorporating potential predictive biomarkers from these pathways will illustrate several aspects of pharmacogenetic and pharmacogenomic predictive biomarker development in advanced prostate cancer therapeutics.
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