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Feng BJ, Boyle JL, Wei J, Carroll C, Snyder NA, Shi Z, Zheng SL, Xu J, Isaacs WB, Cooney KA. Using gene and gene-set association tests to identify lethal prostate cancer genes. Prostate Cancer Prostatic Dis 2024:10.1038/s41391-024-00879-z. [PMID: 39154125 DOI: 10.1038/s41391-024-00879-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 07/26/2024] [Accepted: 08/02/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Recent advances in the detection and treatment of prostate cancer (PCa) have reduced morbidity and mortality from this common cancer. Despite these improvements, PCa remains the second leading cause of cancer death in men in the United States. Further understanding of the genetic underpinnings of lethal PCa is required to drive risk detection and prevention and ultimately reduce mortality. We therefore set out to identify germline variants associated with cases of lethal prostate cancer (LPCa). METHODS Using a two-stage study design, we compared whole-exome sequencing data of 550 LPCa patients to 488 healthy male controls. Men were classified as having LPCa based on medical record review. Candidate genes were identified using gene- and gene-set-based rare truncating variant association tests. Case-control burden testing through Firth's penalized logistic regression and case-gnomAD allelic burden testing through a one-sided mid-p Fisher's exact test were conducted. Each gene's p-values from these tests were combined into an omnibus p-value for candidate gene selection. In the subsequent validation stage, genes were assessed using the UK Biobank and Firth's penalized logistic regression for each ancestry, combined through meta-analysis. RESULTS Gene-based rare variant association tests identified 12 genes nominally associated with LPCa. Rare-variant association tests identified a gene set with a significantly higher burden of truncating germline mutations in LPCa patients than controls. Combining gene- and gene-set test results, four nominally significant genes (PPP1R3A, TG, PPFIBP2, and BTN3A3) were selected as candidates. Subsequent validation using the UK Biobank found that PPP1R3A was significantly associated with LPCa risk (odds ratio 2.34, CI 1.20-4.59). Specifically, pGln662ArgfsTer7 was identified as the predominant variant in PPP1R3A among LPCa patients in our dataset. CONCLUSIONS Both individual gene and gene-set analyses identified candidates associated with LPCa. The novel association of PPP1R3A and LPCa risk merits further investigation.
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Affiliation(s)
- Bing-Jian Feng
- Department of Dermatology, University of Utah, Salt Lake City, UT, USA
| | - Julie L Boyle
- Department of Family and Preventative Medicine, University of Utah, Salt Lake City, UT, USA
| | - Jun Wei
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Courtney Carroll
- Department of Family and Preventative Medicine, University of Utah, Salt Lake City, UT, USA
| | - Nathan A Snyder
- Department of Medicine and the Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA
| | - Zhuqing Shi
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - S Lilly Zheng
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - William B Isaacs
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathleen A Cooney
- Department of Medicine and the Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
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Schurz H, Naranbhai V, Yates TA, Gilchrist JJ, Parks T, Dodd PJ, Möller M, Hoal EG, Morris AP, Hill AVS. Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture. eLife 2024; 13:e84394. [PMID: 38224499 PMCID: PMC10789494 DOI: 10.7554/elife.84394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 11/23/2023] [Indexed: 01/17/2024] Open
Abstract
The heritability of susceptibility to tuberculosis (TB) disease has been well recognized. Over 100 genes have been studied as candidates for TB susceptibility, and several variants were identified by genome-wide association studies (GWAS), but few replicate. We established the International Tuberculosis Host Genetics Consortium to perform a multi-ancestry meta-analysis of GWAS, including 14,153 cases and 19,536 controls of African, Asian, and European ancestry. Our analyses demonstrate a substantial degree of heritability (pooled polygenic h2 = 26.3%, 95% CI 23.7-29.0%) for susceptibility to TB that is shared across ancestries, highlighting an important host genetic influence on disease. We identified one global host genetic correlate for TB at genome-wide significance (p<5 × 10-8) in the human leukocyte antigen (HLA)-II region (rs28383206, p-value=5.2 × 10-9) but failed to replicate variants previously associated with TB susceptibility. These data demonstrate the complex shared genetic architecture of susceptibility to TB and the importance of large-scale GWAS analysis across multiple ancestries experiencing different levels of infection pressure.
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Affiliation(s)
- Haiko Schurz
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch UniversityCape TownSouth Africa
| | - Vivek Naranbhai
- Wellcome Centre for Human Genetics, University of OxfordOxfordUnited Kingdom
- Massachusetts General HospitalBostonUnited States
- Dana-Farber Cancer InstituteBostonUnited States
- Centre for the AIDS Programme of Research in South AfricaDurbanSouth Africa
- Harvard Medical SchoolBostonUnited States
| | - Tom A Yates
- Division of Infection and Immunity, Faculty of Medical Sciences, University College LondonLondonUnited Kingdom
| | - James J Gilchrist
- Wellcome Centre for Human Genetics, University of OxfordOxfordUnited Kingdom
- Department of Paediatrics, University of OxfordOxfordUnited Kingdom
| | - Tom Parks
- Wellcome Centre for Human Genetics, University of OxfordOxfordUnited Kingdom
- Department of Infectious Diseases Imperial College LondonLondonUnited Kingdom
| | - Peter J Dodd
- School of Health and Related Research, University of SheffieldSheffieldUnited Kingdom
| | - Marlo Möller
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch UniversityCape TownSouth Africa
| | - Eileen G Hoal
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch UniversityCape TownSouth Africa
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, The University of ManchesterManchesterUnited Kingdom
| | - Adrian VS Hill
- Wellcome Centre for Human Genetics, University of OxfordOxfordUnited Kingdom
- Jenner Institute, University of OxfordOxfordUnited Kingdom
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Ruan X, Huang D, Huang J, Tsu JHL, Na R. Genetic risk assessment of lethal prostate cancer using polygenic risk score and hereditary cancer susceptibility genes. J Transl Med 2023; 21:446. [PMID: 37415201 PMCID: PMC10327136 DOI: 10.1186/s12967-023-04316-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The genetic risk of aggressive prostate cancer (PCa) is hard to be assessed due to the lack of aggressiveness-related single-nucleotide polymorphisms (SNPs). Prostate volume (PV) is a potential well-established risk factor for aggressive PCa, we hypothesize that polygenic risk score (PRS) based on benign prostate hyperplasia (BPH) or PV-related SNPs may also predict the risk of aggressive PCa or PCa death. METHODS We evaluated a PRS using 21 BPH/PV-associated SNPs, two established PCa risk-related PRS and 10 guideline-recommended hereditary cancer risk genes in the population-based UK Biobank cohort (N = 209,502). RESULTS The BPH/PV PRS was significantly inversely associated with the incidence of lethal PCa as well as the natural progress in PCa patients (hazard ratio, HR = 0.92, 95% confidence interval [CI]: 0.87-0.98, P = 0.02; HR = 0.92, 95% CI 0.86-0.98, P = 0.01). Compared with men at the top 25th PRS, PCa patients with bottom 25th PRS would have a 1.41-fold (HR, 95% CI 1.16-1.69, P = 0.001) increased PCa fatal risk and shorter survival time at 0.37 yr (95% CI 0.14-0.61, P = 0.002). In addition, patients with BRCA2 or PALB2 pathogenic mutations would also have a high risk of PCa death (HR = 3.90, 95% CI 2.34-6.51, P = 1.79 × 10-7; HR = 4.29, 95% CI 1.36-13.50, P = 0.01, respectively). However, no interactive but independent effects were detected between this PRS and pathogenic mutations. CONCLUSIONS Our findings provide a new measurement of PCa patients' natural disease outcomes via genetic risk ways.
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Affiliation(s)
- Xiaohao Ruan
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Da Huang
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jingyi Huang
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - James Hok-Leung Tsu
- Division of Urology, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Rong Na
- Division of Urology, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
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4
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Hayashi S, Matsubara T, Fukuda K, Maeda T, Funahashi K, Hashimoto M, Takashima Y, Kikuchi K, Fujita M, Matsumoto T, Kuroda R. A genome-wide association study identifying single nucleotide polymorphisms in the PPFIBP2 gene was predictive for interstitial lung disease in rheumatoid arthritis patients. Rheumatol Adv Pract 2022; 6:rkac088. [PMID: 36382269 PMCID: PMC9651976 DOI: 10.1093/rap/rkac088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 10/14/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Genetic polymorphisms might serve as useful prognostic markers for the timely diagnosis of RA. The purpose of this study was to identify genomic factors predictive of the occurrence of interstitial lung disease (ILD) in RA by performing a genome-wide association study of genetic variants, including single nucleotide polymorphisms (SNPs). Methods The study population included 306 RA patients. All patients were treated with conventional DMARDs, including 6–16 mg MTX per week. Clinical data and venous blood samples were collected from all patients before administration of DMARDs. A total of 278 347 SNPs were analysed to determine their association with ILD occurrence. Results Several SNPs were strongly associated with ILD occurrence (P < 10−5). rs6578890, which is located on chromosome 11 in the intronic region of the gene encoding tyrosine phosphatase receptor type F polypeptide-interacting protein-binding protein 2 (PPFIBP2), showed the strongest association with ILD occurrence (odds ratio 4.32, P = 10−7.93). Conclusion PPFIBP2 could be a useful genetic marker for occurrence of interstitial pneumonia in RA patients and might help to identify the risk of ILD occurrence before RA treatment, thereby improving patient outcomes.
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Affiliation(s)
- Shinya Hayashi
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
| | - Tsukasa Matsubara
- Department of Orthopaedic Surgery, Matsubara Mayflower Hospital , Kato, Japan
| | - Koji Fukuda
- Department of Orthopaedic Surgery, Matsubara Mayflower Hospital , Kato, Japan
| | - Toshihisa Maeda
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
| | | | | | - Yoshinori Takashima
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
| | - Kenichi Kikuchi
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
| | - Masahiro Fujita
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
| | - Tomoyuki Matsumoto
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
| | - Ryosuke Kuroda
- Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine , Kobe, Japan
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Jin Y, Wang Z, Tang W, Liao M, Wu X, Wang H. An Integrated Analysis of Prognostic Signature and Immune Microenvironment in Tongue Squamous Cell Carcinoma. Front Oncol 2022; 12:891716. [PMID: 35912229 PMCID: PMC9326056 DOI: 10.3389/fonc.2022.891716] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/16/2022] [Indexed: 11/18/2022] Open
Abstract
Tongue squamous cell carcinoma (TSCC) is a prevalent cancer of the oral cavity. Survival metrics are usually unsatisfactory, even using combined treatment with surgery, radiation, and chemotherapy. Immune checkpoint inhibitors can prolong survival, especially in patients with recurrent or metastatic disease. However, there are few effective biomarkers to provide prognosis and guide immunotherapy. Here, we utilized weighted gene co-expression network analysis to identify the co-expression module and selected the turquoise module for further scrutiny. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed the innate pathways. The findings indicated that cell junction organization, response to topologically incorrect protein, and regulation of cell adhesion pathways may be essential. Eleven crucial predictive genes (PLXNB1, N4BP3, KDELR2, INTS8, PLAU, PPFIBP2, OAF, LMF1, IL34, ZFP3, and MAP7D3) were used to establish a risk model based on Cox and LASSO analyses of The Cancer Genome Atlas and GSE65858 databases (regarding overall survival). Kaplan–Meier analysis and receiver operating characteristic curve suggested that the risk model had better prognostic effectiveness than other clinical traits. Consensus clustering was used to classify TSCC samples into two groups with significantly different survival rates. ESTIMATE and CIBERSORT were used to display the immune landscape of TSCC and indicate the stromal score; specific types of immune cells, including naïve B cells, plasma cells, CD8 T cells, CD4 memory resting and memory activated T cells, follicular helper T cells, and T regulatory cells, may influence the heterogeneous immune microenvironment in TSCC. To further identify hub genes, we downloaded GEO datasets (GSE41613 and GSE31056) and successfully validated the risk model. Two hub genes (PLAU and PPFIBP2) were strongly associated with CD4+ and CD8+ T cells and programmed cell death protein 1 (PD1) and PD-ligand 1.
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Affiliation(s)
- Yi Jin
- Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Translational Radiation Oncology, Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Zhanwang Wang
- Department of Oncology, Third Xiangya Hospital of Central South University, Changsha, China
| | - Weizhi Tang
- Key Laboratory of Translational Radiation Oncology, Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Department of Oncology, Hunan Academy of Chinese Medicine Affiliated Hospital, Changsha, China
| | - Muxing Liao
- Key Laboratory of Translational Radiation Oncology, Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Department of Oncology, Youxian People’s Hospital, Zhuzhou, China
| | - Xiangwei Wu
- Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Translational Radiation Oncology, Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Hui Wang
- Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- Key Laboratory of Translational Radiation Oncology, Department of Radiation Oncology, Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
- *Correspondence: Hui Wang,
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6
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Liprins in oncogenic signaling and cancer cell adhesion. Oncogene 2021; 40:6406-6416. [PMID: 34654889 PMCID: PMC8602034 DOI: 10.1038/s41388-021-02048-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/21/2021] [Accepted: 09/28/2021] [Indexed: 12/30/2022]
Abstract
Liprins are a multifunctional family of scaffold proteins, identified by their involvement in several important neuronal functions related to signaling and organization of synaptic structures. More recently, the knowledge on the liprin family has expanded from neuronal functions to processes relevant to cancer progression, including cell adhesion, cell motility, cancer cell invasion, and signaling. These proteins consist of regions, which by prediction are intrinsically disordered, and may be involved in the assembly of supramolecular structures relevant for their functions. This review summarizes the current understanding of the functions of liprins in different cellular processes, with special emphasis on liprins in tumor progression. The available data indicate that liprins may be potential biomarkers for cancer progression and may have therapeutic importance.
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7
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He Y, Wu Y, Liu Z, Li B, Jiang N, Xu P, Xu A. Identification of Signature Genes Associated With Invasiveness and the Construction of a Prognostic Model That Predicts the Overall Survival of Bladder Cancer. Front Genet 2021; 12:694777. [PMID: 34589112 PMCID: PMC8473900 DOI: 10.3389/fgene.2021.694777] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 08/25/2021] [Indexed: 12/14/2022] Open
Abstract
Background: Bladder cancer has become the tenth most diagnosed cancer worldwide. The prognosis has been shown to differ between non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC). We aimed to identify signature genes that are associated with the invasiveness and survival of bladder cancer and to identify potential treatments. Methods: We downloaded gene expression profiles of bladder cancer from the Gene Expression Omnibus database to identify differentially expressed genes and perform weighted gene co-expression network analysis. Functional enrichment was analyzed by GO and KEGG analyses. Hub genes were identified from the significant module. Another dataset was also acquired to verify the expression of hub genes. Univariate and multivariate Cox regression analyses were applied to the dataset downloaded from The Cancer Genome Atlas database. Risk scores were calculated and the effect was evaluated by Kaplan-Meier survival analysis. A nomogram was constructed and validated using training and testing samples, respectively. Analysis of the tumor immune microenvironment was conducted with the CIBERSORT algorithm. Results: In total, 1,245 differentially expressed genes (DEGs) were identified. A distinct module was identified that was significantly correlated to invasiveness. The genes within this module were found to be significantly associated with extracellular exosomes, GTPase activity, metabolic pathways, etc. Three hub genes (VSIG2, PPFIBP2, and DENND2D) were identified as biomarkers of invasiveness; two of these (PPFIBP2 and DENND2D) were closely associated with prognosis. The risk score was regarded as an independent prognostic factor. The nomogram was associated with acceptable accuracy for predicting 1- and 5-year overall survival. The infiltrating levels of resting NK cells, activated natural killer (NK) cells, CD8+ T cells, activated memory CD4+ T cells, and T follicular helper cells, were significantly higher in the group with lower risk scores. The group with higher risk scores showed predominant infiltration by regulatory T cells (Tregs). Conclusion: We successfully identified three signature genes related to invasiveness and constructed a nomogram of bladder cancer with acceptable performance. Differences suggested by risk scores between groups of patients showing diverse patterns of immune cell infiltration may be beneficial for selecting therapeutic approaches and predicting prognosis.
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Affiliation(s)
- Yang He
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yongxin Wu
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhe Liu
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Boping Li
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Ning Jiang
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Peng Xu
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Abai Xu
- Department of Urology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,Department of Urology, The First People's Hospital of Kashgar Prefecture, Kashgar, China
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8
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Emami NC, Cavazos TB, Rashkin SR, Cario CL, Graff RE, Tai CG, Mefford JA, Kachuri L, Wan E, Wong S, Aaronson D, Presti J, Habel LA, Shan J, Ranatunga DK, Chao CR, Ghai NR, Jorgenson E, Sakoda LC, Kvale MN, Kwok PY, Schaefer C, Risch N, Hoffmann TJ, Van Den Eeden SK, Witte JS. A Large-Scale Association Study Detects Novel Rare Variants, Risk Genes, Functional Elements, and Polygenic Architecture of Prostate Cancer Susceptibility. Cancer Res 2021; 81:1695-1703. [PMID: 33293427 PMCID: PMC8137514 DOI: 10.1158/0008-5472.can-20-2635] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 10/27/2020] [Accepted: 12/02/2020] [Indexed: 11/16/2022]
Abstract
To identify rare variants associated with prostate cancer susceptibility and better characterize the mechanisms and cumulative disease risk associated with common risk variants, we conducted an integrated study of prostate cancer genetic etiology in two cohorts using custom genotyping microarrays, large imputation reference panels, and functional annotation approaches. Specifically, 11,984 men (6,196 prostate cancer cases and 5,788 controls) of European ancestry from Northern California Kaiser Permanente were genotyped and meta-analyzed with 196,269 men of European ancestry (7,917 prostate cancer cases and 188,352 controls) from the UK Biobank. Three novel loci, including two rare variants (European ancestry minor allele frequency < 0.01, at 3p21.31 and 8p12), were significant genome wide in a meta-analysis. Gene-based rare variant tests implicated a known prostate cancer gene (HOXB13), as well as a novel candidate gene (ILDR1), which encodes a receptor highly expressed in prostate tissue and is related to the B7/CD28 family of T-cell immune checkpoint markers. Haplotypic patterns of long-range linkage disequilibrium were observed for rare genetic variants at HOXB13 and other loci, reflecting their evolutionary history. In addition, a polygenic risk score (PRS) of 188 prostate cancer variants was strongly associated with risk (90th vs. 40th-60th percentile OR = 2.62, P = 2.55 × 10-191). Many of the 188 variants exhibited functional signatures of gene expression regulation or transcription factor binding, including a 6-fold difference in log-probability of androgen receptor binding at the variant rs2680708 (17q22). Rare variant and PRS associations, with concomitant functional interpretation of risk mechanisms, can help clarify the full genetic architecture of prostate cancer and other complex traits. SIGNIFICANCE: This study maps the biological relationships between diverse risk factors for prostate cancer, integrating different functional datasets to interpret and model genome-wide data from over 200,000 men with and without prostate cancer.See related commentary by Lachance, p. 1637.
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Affiliation(s)
- Nima C Emami
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Taylor B Cavazos
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, California
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Clinton L Cario
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Caroline G Tai
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Joel A Mefford
- Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, California
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
| | - Eunice Wan
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - Simon Wong
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - David Aaronson
- Department of Urology, Kaiser Oakland Medical Center, Oakland, California
| | - Joseph Presti
- Department of Urology, Kaiser Oakland Medical Center, Oakland, California
| | - Laurel A Habel
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Jun Shan
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Dilrini K Ranatunga
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Chun R Chao
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Nirupa R Ghai
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Lori C Sakoda
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Mark N Kvale
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - Pui-Yan Kwok
- Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, California
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - Catherine Schaefer
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Neil Risch
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
- Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, California
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
- Division of Research, Kaiser Permanente Northern California, Oakland, California
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
| | - Thomas J Hoffmann
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - Stephen K Van Den Eeden
- Division of Research, Kaiser Permanente Northern California, Oakland, California
- Department of Urology, University of California San Francisco, San Francisco, California
| | - John S Witte
- Program in Biological and Medical Informatics, University of California San Francisco, San Francisco, California.
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California
- Program in Pharmaceutical Sciences and Pharmacogenomics, University of California San Francisco, San Francisco, California
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California
- Department of Urology, University of California San Francisco, San Francisco, California
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9
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Heidegger I, Tsaur I, Borgmann H, Surcel C, Kretschmer A, Mathieu R, Visschere PD, Valerio M, van den Bergh RCN, Ost P, Tilki D, Gandaglia G, Ploussard G. Hereditary prostate cancer - Primetime for genetic testing? Cancer Treat Rev 2019; 81:101927. [PMID: 31783313 DOI: 10.1016/j.ctrv.2019.101927] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 11/04/2019] [Accepted: 11/05/2019] [Indexed: 12/11/2022]
Abstract
Prostate cancer (PCa) remains the most common cancer in men. The proportion of all PCa attributable to high-risk hereditary factors has been estimated to 5-15%. Recent landmark discoveries in PCa genetics led to the identification of germline mutations/alterations (eg. BRCA1, BRCA2, ATM or HOXB13), single nucleotide polymorphisms or copy number variations associated with PCa incidence and progression. However, offering germline testing to men with an assumed hereditary component is currently controversial. In the present review article, we provide an overview about the epidemiology and the genetic basis of PCa predisposition and critically discuss the significance and consequence in the clinical routine. In addition, we give an overview about genetic tests and report latest findings from ongoing clinical studies. Lastly, we discuss the impact of genetic testing in personalized therapy in advanced stages of the disease.
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Affiliation(s)
- Isabel Heidegger
- Department of Urology, Medical University Innsbruck, Innsbruck, Austria.
| | - Igor Tsaur
- Department of Urology and Pediatric Urology, Mainz University Medicine, Mainz, Germany
| | - Hendrik Borgmann
- Department of Urology and Pediatric Urology, Mainz University Medicine, Mainz, Germany
| | - Christian Surcel
- Department of Urology, Fundeni Clinical Institute, University of Medicine and Pharmacy, Carol Davila Bucharest, Bucharest, Romania
| | | | | | - Pieter De Visschere
- Department of Radiology and Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
| | | | | | - Piet Ost
- Department of Radiation Oncology and Experimental Cancer Research, Ghent University Hospital, Ghent, Belgium
| | - Derya Tilki
- Martini Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Hospital-Hamburg Eppendorf, Hamburg, Germany
| | - Giorgio Gandaglia
- Department of Urology, Urological Research Institute, Vita-Salute University and San Raffaele Hospital, Milan, Italy
| | - Guillaume Ploussard
- Department of Urology, La Croix du Sud Hospital, Toulouse, France; Institut Universitaire du Cancer Toulouse - Oncopole, Toulouse, France
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10
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Alshabi AM, Vastrad B, Shaikh IA, Vastrad C. Identification of Crucial Candidate Genes and Pathways in Glioblastoma Multiform by Bioinformatics Analysis. Biomolecules 2019; 9:biom9050201. [PMID: 31137733 PMCID: PMC6571969 DOI: 10.3390/biom9050201] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 05/17/2019] [Accepted: 05/23/2019] [Indexed: 02/07/2023] Open
Abstract
The present study aimed to investigate the molecular mechanisms underlying glioblastoma multiform (GBM) and its biomarkers. The differentially expressed genes (DEGs) were diagnosed using the limma software package. The ToppGene (ToppFun) was used to perform pathway and Gene Ontology (GO) enrichment analysis of the DEGs. Protein-protein interaction (PPI) networks, extracted modules, miRNA-target genes regulatory network and TF-target genes regulatory network were used to obtain insight into the actions of DEGs. Survival analysis for DEGs was carried out. A total of 590 DEGs, including 243 up regulated and 347 down regulated genes, were diagnosed between scrambled shRNA expression and Lin7A knock down. The up-regulated genes were enriched in ribosome, mitochondrial translation termination, translation, and peptide biosynthetic process. The down-regulated genes were enriched in focal adhesion, VEGFR3 signaling in lymphatic endothelium, extracellular matrix organization, and extracellular matrix. The current study screened the genes in the PPI network, extracted modules, miRNA-target genes regulatory network, and TF-target genes regulatory network with higher degrees as hub genes, which included NPM1, CUL4A, YIPF1, SHC1, AKT1, VLDLR, RPL14, P3H2, DTNA, FAM126B, RPL34, and MYL5. Survival analysis indicated that the high expression of RPL36A and MRPL35 were predicting longer survival of GBM, while high expression of AP1S1 and AKAP12 were predicting shorter survival of GBM. High expression of RPL36A and AP1S1 were associated with pathogenesis of GBM, while low expression of ALPL was associated with pathogenesis of GBM. In conclusion, the current study diagnosed DEGs between scrambled shRNA expression and Lin7A knock down samples, which could improve our understanding of the molecular mechanisms in the progression of GBM, and these crucial as well as new diagnostic markers might be used as therapeutic targets for GBM.
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Affiliation(s)
- Ali Mohamed Alshabi
- Department of Clinical Pharmacy, College of Pharmacy, Najran University, Najran 61441, Saudi Arabia.
| | - Basavaraj Vastrad
- Department of Pharmaceutics, SET`S College of Pharmacy, Dharwad, Karnataka 580002, India.
| | - Ibrahim Ahmed Shaikh
- Department of Pharmacology, College of Pharmacy, Najran University, Najran 61441, Saudi Arabia.
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India.
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