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Ahmed M, Soares F, Xia JH, Yang Y, Li J, Guo H, Su P, Tian Y, Lee HJ, Wang M, Akhtar N, Houlahan KE, Bosch A, Zhou S, Mazrooei P, Hua JT, Chen S, Petricca J, Zeng Y, Davies A, Fraser M, Quigley DA, Feng FY, Boutros PC, Lupien M, Zoubeidi A, Wang L, Walsh MJ, Wang T, Ren S, Wei GH, He HH. CRISPRi screens reveal a DNA methylation-mediated 3D genome dependent causal mechanism in prostate cancer. Nat Commun 2021; 12:1781. [PMID: 33741908 PMCID: PMC7979745 DOI: 10.1038/s41467-021-21867-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 02/18/2021] [Indexed: 12/11/2022] Open
Abstract
Prostate cancer (PCa) risk-associated SNPs are enriched in noncoding cis-regulatory elements (rCREs), yet their modi operandi and clinical impact remain elusive. Here, we perform CRISPRi screens of 260 rCREs in PCa cell lines. We find that rCREs harboring high risk SNPs are more essential for cell proliferation and H3K27ac occupancy is a strong indicator of essentiality. We also show that cell-line-specific essential rCREs are enriched in the 8q24.21 region, with the rs11986220-containing rCRE regulating MYC and PVT1 expression, cell proliferation and tumorigenesis in a cell-line-specific manner, depending on DNA methylation-orchestrated occupancy of a CTCF binding site in between this rCRE and the MYC promoter. We demonstrate that CTCF deposition at this site as measured by DNA methylation level is highly variable in prostate specimens, and observe the MYC eQTL in the 8q24.21 locus in individuals with low CTCF binding. Together our findings highlight a causal mechanism synergistically driven by a risk SNP and DNA methylation-mediated 3D genome architecture, advocating for the integration of genetics and epigenetics in assessing risks conferred by genetic predispositions.
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Affiliation(s)
- Musaddeque Ahmed
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Fraser Soares
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Ji-Han Xia
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Yue Yang
- Changhai Hospital, Shanghai, China
| | - Jing Li
- Changhai Hospital, Shanghai, China
| | - Haiyang Guo
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Peiran Su
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Yijun Tian
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Hyung Joo Lee
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, USA
| | - Miranda Wang
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Nayeema Akhtar
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Kathleen E Houlahan
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Vector Institute, Toronto, ON, Canada
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Almudena Bosch
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stanley Zhou
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Parisa Mazrooei
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Junjie T Hua
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sujun Chen
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Jessica Petricca
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Yong Zeng
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
| | - Alastair Davies
- The Vancouver Prostate Centre, Vancouver General Hospital and Department of Urologic Sciences, The University of British Columbia, Vancouver, BC, Canada
| | - Michael Fraser
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - David A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA
- Department of Urology, University of California at San Francisco, San Francisco, CA, USA
| | - Felix Y Feng
- Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA
- Department of Urology, University of California at San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California at San Francisco, San Francisco, CA, USA
- Department of Radiation Oncology, University of California at San Francisco, San Francisco, CA, USA
| | - Paul C Boutros
- Vector Institute, Toronto, ON, Canada
- Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mathieu Lupien
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Amina Zoubeidi
- The Vancouver Prostate Centre, Vancouver General Hospital and Department of Urologic Sciences, The University of British Columbia, Vancouver, BC, Canada
| | - Liang Wang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Martin J Walsh
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ting Wang
- Department of Genetics, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Gong-Hong Wei
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu, Oulu, Finland.
- Fudan University Shanghai Cancer Center, School of Basic Medical Sciences, Department of Biochemistry and Molecular Biology, Shanghai Medical College of Fudan University, Shanghai, China.
| | - Housheng Hansen He
- Princess Margaret Cancer Center/University Health Network, Toronto, ON, Canada.
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
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Beikzadeh B, Angaji SA, Abolhasani M. Association study between common variations in some candidate genes and prostate adenocarcinoma predisposition through multi-stage approach in Iranian population. BMC MEDICAL GENETICS 2020; 21:81. [PMID: 32295536 PMCID: PMC7161142 DOI: 10.1186/s12881-020-01014-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Accepted: 03/27/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Prostate cancer is one of the five common cancers and has the second incidence rate and the third mortality rate in Iranian population. The purpose of this study was to evaluate the association of rs16901979, rs4242382 and rs1447295 on 8q24 locus, rs2735839 (KLK3 gene) and rs721048 (EHBP1 gene) with prostate adenocarcinoma through multi-stage approach to identify the polymorphisms associated with prostate cancer and use them as screening factors. Screening tests can identify people who may have a chance of developing the disease before detection and any symptoms. METHODS The case-control study included 103 cases (prostate adenocarcinoma) and 100 controls (benign prostatic hyperplasia). Tetra-primer ARMS-PCR was used to genotyping of each participant. A Multi-stage approach was used for efficient genomic study. In this method, a smaller number of people can be used. Chi-squared, Fisher's exact test and logistic regression were used to investigate the SNPs associated with prostate cancer and Gleason score. RESULTS In the first stage (59 men), the frequency of polymorphisms rs16901979, rs4242382, rs1447295, rs2735839 and rs721048 in the prostate adenocarcinoma group was evaluated compared to the control group (P-value < 0.3) in order to select meaningful polymorphisms. There was not any significant difference between genotype frequency rs16901979 (P = 0.671) and rs721048 (P = 0.474) in the case group compared to BPH. Therefore, these polymorphisms were eliminated, and in the second step (144 men), rs4242382, rs2735839 and rs1447295 were evaluated (P-value < 0.05). According to the total population (203 men), there was significant difference between genotype frequency rs4242382 (P = 0.001), rs2735839 (P = 0.000) and rs1447295 (P = 0.005) even after using Bonferroni correction (p = 0.016). The effect of these three polymorphisms on prostate cancer was not modified by age and PSA. There was a significant difference between the allelic frequency of A vs G (rs4242382, rs2735839) at all classes of Gleason score and A vs C (rs1447295) at Gleason score ≥ 8. CONCLUSIONS The results of this study for rs2735839, rs4242382 and rs1447295 indicate the association of these polymorphisms with prostate adenocarcinoma predisposition in Iranian population. Exposure effect is homogeneous between different ages and PSA level categories. These three polymorphisms should be studied in a larger population to confirm these results.
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Affiliation(s)
- Behnaz Beikzadeh
- Department of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran
| | - Seyed Abdolhamid Angaji
- Department of Cell and Molecular Biology, Faculty of Biological Sciences, Kharazmi University, Tehran, Iran.
| | - Maryam Abolhasani
- Department of Pathology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
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Liu J, Yan J, Mao R, Ren G, Liu X, Zhang Y, Wang J, Wang Y, Li M, Qiu Q, Wang L, Liu G, Jin S, Ma L, Ma Y, Zhao N, Zhang H, Lin B. Exome sequencing identified six copy number variations as a prediction model for recurrence of primary prostate cancers with distinctive prognosis. Transl Cancer Res 2020; 9:2231-2242. [PMID: 35117583 PMCID: PMC8798897 DOI: 10.21037/tcr.2020.03.31] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 02/05/2020] [Indexed: 01/12/2023]
Abstract
Background Prostate cancer (PCa) is a common type of malignancy, which represents one of the leading causes of death among men worldwide. Copy number variations (CNVs) and gene fusions play important roles in PCa and may serve as markers for the prognosis of this condition. Methods We have presently conducted an analysis of CNVs and gene fusions in PCa, using whole exome sequencing (WES) data of primary tumors. For this, a cohort of 74 PCa patients, including 30 recurrent and 44 non-recurrent cases, were assessed during 5 years of follow-up. Results We have identified 66 CNVs that were specific to the primary tumor tissues from the recurrent PCa group. Most of duplicated genomic regions were located in 8q2, suggesting that this chromosomal region could be important for the prognosis of PCa. Meanwhile, we have developed a random forest model, using six selected CNVs, with an accuracy near 90% for predicting PCa recurrence according to a 10-fold cross validation. In addition, we have detected 16 recurrent oncogenic gene fusions in PCa. Among these, ALK (ALK receptor tyrosine kinase)-involved fusions were the most common type of gene fusion (n=7). Four of these fusions (i.e., EML4-ALK, STRN-ALK, CLTC-ALK, ETV6-ALK) were previously identified in other cancer types, while the remaining three gene fusions (FRYL-ALK, ABL1-ALK, and BCR-ALK) were here identified. Conclusions Our findings expand the current understanding in regard to prostate carcinogenesis. Current data might be further used for assay development as well as to predict PCa recurrence, using primary tissues.
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Affiliation(s)
- Jie Liu
- College of Life Science, Zhejiang University, Hangzhou 310027, China.,Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Jiajun Yan
- Department of Urology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing 312000, China
| | - Ruifang Mao
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Guoping Ren
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Xiaoyan Liu
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Yanling Zhang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China.,Department of Gynecology and Obstetrics, Sir Run Run Shaw Hospital, Zhejiang University Medical College, Hangzhou 310016, China
| | - Jili Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Yan Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310003, China
| | - Meiling Li
- Department of Epidemiology, Second Military Medical University, Shanghai 200433, China
| | - Qingchong Qiu
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Lin Wang
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Guanfeng Liu
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Shanshan Jin
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Liang Ma
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Yingying Ma
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Na Zhao
- Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China
| | - Hongwei Zhang
- Department of Epidemiology, Second Military Medical University, Shanghai 200433, China
| | - Biaoyang Lin
- College of Life Science, Zhejiang University, Hangzhou 310027, China.,Systems Biology Division, Zhejiang-California International NanoSystems Institute (ZCNI), Zhejiang University, Hangzhou 310027, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310027, China.,Department of Urology, University of Washington, Seattle, WA, USA
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