1
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Ogbonnaya CN, Alsaedi BSO, Alhussaini AJ, Hislop R, Pratt N, Steele JD, Kernohan N, Nabi G. Radiogenomics Map-Based Molecular and Imaging Phenotypical Characterization in Localised Prostate Cancer Using Pre-Biopsy Biparametric MR Imaging. Int J Mol Sci 2024; 25:5379. [PMID: 38791417 PMCID: PMC11121591 DOI: 10.3390/ijms25105379] [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: 04/13/2024] [Revised: 05/06/2024] [Accepted: 05/13/2024] [Indexed: 05/26/2024] Open
Abstract
To create a radiogenomics map and evaluate the correlation between molecular and imaging phenotypes in localized prostate cancer (PCa), using radical prostatectomy histopathology as a reference standard. Radiomic features were extracted from T2-weighted (T2WI) and Apparent Diffusion Coefficient (ADC) images of clinically localized PCa patients (n = 15) across different Gleason score-based risk categories. DNA extraction was performed on formalin-fixed, paraffin-embedded (FFPE) samples. Gene expression analysis of androgen receptor expression, apoptosis, and hypoxia was conducted using the Chromosome Analysis Suite (ChAS) application and OSCHIP files. The relationship between gene expression alterations and textural features was assessed using Pearson's correlation analysis. Receiver operating characteristic (ROC) analysis was utilized to evaluate the predictive accuracy of the model. A significant correlation was observed between radiomic texture features and copy number variation (CNV) of genes associated with apoptosis, hypoxia, and androgen receptor (p-value ≤ 0.05). The identified radiomic features, including Sum Entropy ADC, Inverse Difference ADC, Sum Variance T2WI, Entropy T2WI, Difference Variance T2WI, and Angular Secondary Moment T2WI, exhibited potential for predicting cancer grade and biological processes such as apoptosis and hypoxia. Incorporating radiomics and genomics into a prediction model significantly improved the prediction of prostate cancer grade (clinically significant prostate cancer), yielding an AUC of 0.95. Radiomic texture features significantly correlate with genotypes for apoptosis, hypoxia, and androgen receptor expression in localised prostate cancer. Integration of these into the prediction model improved prediction accuracy of clinically significant prostate cancer.
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Affiliation(s)
- Chidozie N. Ogbonnaya
- Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee DD1 4HN, UK; (C.N.O.); (A.J.A.); (J.D.S.)
| | | | - Abeer J. Alhussaini
- Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee DD1 4HN, UK; (C.N.O.); (A.J.A.); (J.D.S.)
| | - Robert Hislop
- Cytogenetic, Human Genetics Unit, NHS Tayside, Ninewells Hospital and Medical School, Dundee DD1 9SY, UK; (R.H.); (N.P.)
| | - Norman Pratt
- Cytogenetic, Human Genetics Unit, NHS Tayside, Ninewells Hospital and Medical School, Dundee DD1 9SY, UK; (R.H.); (N.P.)
| | - J. Douglas Steele
- Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee DD1 4HN, UK; (C.N.O.); (A.J.A.); (J.D.S.)
| | - Neil Kernohan
- Department of Pathology, NHS Tayside, Ninewells Hospital and Medical School, Dundee DD1 9SY, UK;
| | - Ghulam Nabi
- Division of Imaging Science and Technology, School of Medicine, University of Dundee, Dundee DD1 4HN, UK; (C.N.O.); (A.J.A.); (J.D.S.)
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2
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Jeon KH, Park S, Shin JH, Jung AR, Hwang SY, Seo SH, Jo H, Na Y, Kwon Y. Synthesis and evaluation of 7-(3-aminopropyloxy)-substituted flavone analogue as a topoisomerase IIα catalytic inhibitor and its sensitizing effect to enzalutamide in castration-resistant prostate cancer cells. Eur J Med Chem 2023; 246:114999. [PMID: 36493620 DOI: 10.1016/j.ejmech.2022.114999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
Prostate cancer patients primarily receive androgen receptor (AR)-targeted drugs as a primary treatment option because prostate cancer is associated with highly activated AR signaling. AR amplification made prostate cancer cells viable under treatment of AR-targeted therapy, leading to castration resistance. AR amplification was more common in enzalutamide-resistant patients. As a strategy to overcome castration resistance and to improve the efficacy of enzalutamide, second-generation nonsteroidal antiandrogen drugs for castration-resistant prostate cancer (CRPC) including topoisomerase II (topo II) poisons such as etoposide and mitoxantrone, have been administered in combination with enzalutamide. In the present study, it was confirmed that amplification of topo IIα, but not I and IIβ, was directly and proportionally associated with poor clinical outcome of Prostate cancer. Among a novel series of newly designed and synthesized 7-(3-aminopropyloxy)-substituted flavone analogues, compound 6, the most potent derivative, was further characterized and identified as a topo IIα catalytic inhibitor that intercalates into DNA and binds to the DNA minor groove with better efficacy and less genotoxicity than etoposide, a topo II poison. Compound 6 showed remarkable efficacy in inhibiting AR-negative CRPC cell growth and sensitizing activity to enzalutamide in AR-positive CRPC cells, thus confirming the potential of topo IIα catalytic inhibitor to overcome resistance to androgen deprivation therapy.
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Affiliation(s)
- Kyung-Hwa Jeon
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Seojeong Park
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Jae-Ho Shin
- College of Pharmacy, CHA University, 120 Haeryong-ro, Pochon-shi, Gyeongghi-do, 11160, Republic of Korea
| | - Ah-Reum Jung
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Soo-Yeon Hwang
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Seung Hee Seo
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Hyunji Jo
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea
| | - Younghwa Na
- College of Pharmacy, CHA University, 120 Haeryong-ro, Pochon-shi, Gyeongghi-do, 11160, Republic of Korea
| | - Youngjoo Kwon
- College of Pharmacy, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760, Republic of Korea.
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3
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Pavel AG, Stambouli D, Anton G, Gener I, Preda A, Baston C, Gingu C. Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies. Biomedicines 2022; 10:biomedicines10112733. [PMID: 36359253 PMCID: PMC9687438 DOI: 10.3390/biomedicines10112733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 12/24/2022] Open
Abstract
Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation among people. Genome Wide Association studies (GWASs) have generated multiple genetic variants associated with prostate cancer (PC) risk. Taking into account previously identified genetic susceptibility variants, the purpose of our study was to determine the cumulative association between four common SNPs and the overall PC risk. A total of 78 specimens from both PC and benign prostate hyperplasia (BPH) patients were included in the study. Genotyping of all selected SNPs was performed using the TaqMan assay. The association between each SNP and the PC risk was assessed individually and collectively. Analysis of the association between individual SNPs and PC risk revealed that only the rs4054823 polymorphism was significantly associated with PC, and not with BPH (p < 0.001). Statistical analysis also showed that the heterozygous genotype of the rs2735839 polymorphism is more common within the BPH group than in the PC group (p = 0.042). The cumulative effect of high-risk alleles on PC was analyzed using a logistic regression model. As a result, the carriers of at least one risk allele copy in each particular region had a cumulative odd ratio (OR) of 1.42 times, compared to subjects who did not have any of these factors. In addition, the combination of these four genetic variants increased the overall risk of PC by 52%. Our study provides further evidence of the cumulative effects of genetic risk factors on overall PC risk. These results should encourage future research to explain the interactions between known susceptibility variants and their contribution to the development and progression of PC disease.
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Affiliation(s)
- Anca Gabriela Pavel
- Cytogenomic Medical Laboratory, Molecular Genetics Department, 014453 Bucharest, Romania
- The Romania Academy, “Stefan S. Nicolau” Institute of Virology, 030304 Bucharest, Romania
- Correspondence:
| | - Danae Stambouli
- Cytogenomic Medical Laboratory, Molecular Genetics Department, 014453 Bucharest, Romania
| | - Gabriela Anton
- The Romania Academy, “Stefan S. Nicolau” Institute of Virology, 030304 Bucharest, Romania
| | - Ismail Gener
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 010751 Bucharest, Romania
- Department of Nephrology, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Adrian Preda
- Center of Urological Surgery, Dialysis and Renal Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Catalin Baston
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 010751 Bucharest, Romania
- Center of Urological Surgery, Dialysis and Renal Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Constantin Gingu
- Department of Nephrology, Urology, Immunology and Immunology of Transplant, Dermatology, Allergology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 010751 Bucharest, Romania
- Center of Urological Surgery, Dialysis and Renal Transplantation, Fundeni Clinical Institute, 022328 Bucharest, Romania
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4
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Radmanesh H, Liu D, Geffers R, Shandiz FH, Sadr-Nabavi A, Hillemanns P, Park-Simon TW, Dörk T. Exome sequencing identifies RASSF1 and KLK3 germline variants in an Iranian multiple-case breast cancer family. Eur J Med Genet 2022; 65:104425. [PMID: 35032689 DOI: 10.1016/j.ejmg.2022.104425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 12/17/2021] [Accepted: 01/08/2022] [Indexed: 11/03/2022]
Abstract
Breast cancer is the most frequent malignancy among women in both developed and developing countries. Although several genes have been identified to harbor germline variants contributing to breast cancer risk, much of the heritability for breast cancer is yet undefined. In the present study, we have performed exome sequencing to detect susceptibility genes in an Iranian family with five first-degree family members affected with breast cancer. We identified novel candidate variants with predicted pathogenicity in RASSF1, KLK3 and FAM81B. The RASSF1 and KLK3 variants, but not the FAM81B variant, partially co-segregated with disease in the investigated pedigree and were not found in additional screenings outside the specific family. RASSF1 p.S135F is a missense substitution abolishing the ATM phosphorylation site, and KLK3 variant p.M1? is a deletion at the initiation codon that is predicted to abolish translation to the functional kallikrein protease, PSA. Our study suggests germline variation in RASSF1 and KLK3 as candidate contributors to familial breast cancer predisposition and illustrates the difficulties to determine the causal genetic risk factor among novel variants restricted to a single family.
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Affiliation(s)
- Hoda Radmanesh
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany; Department of Radiation Oncology, Hannover Medical School, Hannover, Germany; Department of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Di Liu
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany; Department of Radiology, Norman Bethune College of Medicine, Second Hospital of Jilin University, Changchun, China
| | - Robert Geffers
- Genome Analytics Unit, Helmholtz Center for Infection Research, Braunschweig, Germany
| | - Fatemeh Homaei Shandiz
- Radiation Oncology Cancer Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ariane Sadr-Nabavi
- Department of Medical Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Peter Hillemanns
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Tjoung-Won Park-Simon
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany
| | - Thilo Dörk
- Department of Obstetrics and Gynaecology, Hannover Medical School, Hannover, Germany.
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5
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Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis. Pathol Res Pract 2020; 216:153109. [DOI: 10.1016/j.prp.2020.153109] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 07/03/2020] [Accepted: 07/08/2020] [Indexed: 12/24/2022]
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6
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Association of KLK3, VAMP8 and MDM4 Genetic Variants within microRNA Binding Sites with Prostate Cancer: Evidence from Serbian Population. Pathol Oncol Res 2020; 26:2409-2423. [PMID: 32556890 DOI: 10.1007/s12253-020-00839-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 06/10/2020] [Indexed: 12/25/2022]
Abstract
A growing number of studies have suggested that genetic variants affecting the micro-RNA- binding mechanisms (miRSNPs) constitute a promising novel class of biomarkers for prostate cancer (PCa) biology. Among the most extensively studied miRSNPs in the context of cancer is the variation rs4245739 in the MDM4 gene, while a recent large-scale analysis revealed significant differences in genotype distributions between aggressive and non-aggressive disease for rs1058205 in KLK3 and rs1010 in VAMP8. In this study, we examined a total of 1083 subjects for these three variants using Taqman® SNP Genotyping Assays. Three hundred and fifty-five samples of peripheral blood were obtained from patients with PCa and 358 samples from patients with benign prostatic hyperplasia (BPH). The control group consisted of 370 healthy volunteers. Comparisons of genotype distributions among PCa and BPH patients, as well as between PCa patients and healthy controls, yielded no evidence of association between the analyzed genetic variants and the risk of developing PCa. However, all three tested genetic variants have shown the association with the parameters of PCa progression. For KLK3 variant rs1058205, minor allele C was found to associate with the lower serum PSA score in PCa patients (PSA > 20 ng/ml vs. PSA < 10 ng/ml comparison, Prec = 0.038; ORrec = 0.20, 95%CI 0.04-1.05). The obtained results point out the potential relevance of the tested genetic variants for the disease aggressiveness assessment.
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7
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Pinto AR, Silva J, Pinto R, Medeiros R. Aggressive prostate cancer phenotype and genome-wide association studies: where are we now? Pharmacogenomics 2020; 21:487-503. [PMID: 32343194 DOI: 10.2217/pgs-2019-0123] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The majority of prostate cancer (PCa) is indolent, however, a percentage of patients are initially diagnosed with metastatic disease, for which there is a worse prognosis. There is a lack of biomarkers to identify men at greater risk for developing aggressive PCa. Genome-wide association studies (GWAS) scan the genome to search associations of SNPs with specific traits, like cancer. To date, eight GWAS have resulted in the reporting of 16 SNPs associated with aggressive PCa (p < 5.00 × 10-2). Still, validation studies need to be conducted to confirm the obtained results as GWAS can generate false-positive results. Furthermore, post-GWAS studies provide a better understanding of the functional consequences.
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Affiliation(s)
- Ana R Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,ICBAS, Abel Salazar Institute for the Biomedical Sciences, Rua de Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal
| | - Jani Silva
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Ricardo Pinto
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group, IPO-Porto Research Center, (CI-IPOP) Portuguese Oncology Institute of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-4072 Porto, Portugal.,Research Department, Portuguese League Against Cancer (NRNorte), Estrada Interior da Circunvalação, 6657, 4200-172 Porto, Portugal.,CEBIMED, Faculty of Health Sciences, Fernando Pessoa University, Praça 9 de Abril, 349, 4249-004 Porto, Portugal
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8
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Constitutively bound CTCF sites maintain 3D chromatin architecture and long-range epigenetically regulated domains. Nat Commun 2020; 11:54. [PMID: 31911579 PMCID: PMC6946690 DOI: 10.1038/s41467-019-13753-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 11/25/2019] [Indexed: 12/19/2022] Open
Abstract
The architectural protein CTCF is a mediator of chromatin conformation, but how CTCF binding to DNA is orchestrated to maintain long-range gene expression is poorly understood. Here we perform RNAi knockdown to reduce CTCF levels and reveal a shared subset of CTCF-bound sites are robustly resistant to protein depletion. The ‘persistent’ CTCF sites are enriched at domain boundaries and chromatin loops constitutive to all cell types. CRISPR-Cas9 deletion of 2 persistent CTCF sites at the boundary between a long-range epigenetically active (LREA) and silenced (LRES) region, within the Kallikrein (KLK) locus, results in concordant activation of all 8 KLK genes within the LRES region. CTCF genome-wide depletion results in alteration in Topologically Associating Domain (TAD) structure, including the merging of TADs, whereas TAD boundaries are not altered where persistent sites are maintained. We propose that the subset of essential CTCF sites are involved in cell-type constitutive, higher order chromatin architecture. The architectural protein CTCF is a mediator of chromatin conformation, but how CTCF binding to DNA is regulated remains poorly understood. Here the authors find that there is a shared subset of CTCF-bound sites resistant to protein depletion in different cell lines, which are enriched at domain boundaries and chromatin loops constitutive to all cell types.
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9
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Azam MF, Musa A, Dehmer M, Yli-Harja OP, Emmert-Streib F. Global Genetics Research in Prostate Cancer: A Text Mining and Computational Network Theory Approach. Front Genet 2019; 10:70. [PMID: 30838019 PMCID: PMC6383410 DOI: 10.3389/fgene.2019.00070] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Accepted: 01/28/2019] [Indexed: 11/13/2022] Open
Abstract
Prostate cancer is the most common cancer type in men in Finland and second worldwide. In this paper, we analyze almost 150, 000 published papers about prostate cancer, authored by ten thousands of scientists worldwide, with an integrated text mining and computational network theory approach. We demonstrate how to integrate text mining with network analysis investigating research contributions of countries and collaborations within and between countries. Furthermore, we study the time evolution of individually and collectively studied genes. Finally, we investigate a collaboration network of Finland and compare studied genes with globally studied genes in prostate cancer genetics. Overall, our results provide a global overview of prostate cancer research in genetics. In addition, we present a specific discussion for Finland. Our results shed light on trends within the last 30 years and are useful for translational researchers within the full range from genetics to public health management and health policy.
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Affiliation(s)
- Md Facihul Azam
- Predictive Society and Data Analysis Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.,Institute of Biosciences and Medical Technology, Tampere, Finland
| | - Aliyu Musa
- Predictive Society and Data Analysis Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.,Institute of Biosciences and Medical Technology, Tampere, Finland
| | - Matthias Dehmer
- Faculty for Management, Institute for Intelligent Production, University of Applied Sciences Upper Austria, Steyr, Austria.,Department of Mechatronics and Biomedical Computer Science, UMIT, Hall in Tyrol, Austria.,College of Computer and Control Engineering, Nankai University, Tianjin, China
| | - Olli P Yli-Harja
- Institute of Biosciences and Medical Technology, Tampere, Finland.,Computational Systems Biology, Faculty of Biomedical Engineering, Tampere University, Tampere, Finland.,Institute for Systems Biology, Seattle, WA, United States
| | - Frank Emmert-Streib
- Predictive Society and Data Analysis Lab, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.,Institute of Biosciences and Medical Technology, Tampere, Finland
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10
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Association between three genetic variants in kallikrein 3 and prostate cancer risk. Biosci Rep 2018; 38:BSR20181151. [PMID: 30413614 PMCID: PMC6265624 DOI: 10.1042/bsr20181151] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 10/24/2018] [Accepted: 11/07/2018] [Indexed: 11/17/2022] Open
Abstract
Background: Epidemiological studies have assessed the association between kallikrein 3 (KLK3) polymorphisms and prostate cancer (PCa) susceptibility. However, published data on this association are somewhat inconclusive. Methods: Articles investigating the association between three KLK3 (rs1058205, rs2735839, and rs266882) variants and PCa susceptibility were searched from online databases, which included 35,838 patients and 36,369 control participants. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to demonstrate the strength of the association. We also utilized ELISA to detect serum expression of KLK3. In addition, in silico tools were adopted to evaluate the relationship of KLK3 expression and PCa survival time. Results: The overall results indicated that polymorphism T>C of rs1058205 was associated with decreased risk of PCa (allele contrast: OR = 0.75, 95% CI = 0.64–0.88, Pheterogeneity < 0.001; homozygote comparison: OR = 0.58, 95% CI = 0.42–0.81, Pheterogeneity < 0.001), particularly in Caucasian population (allele contrast: OR = 0.77, 95% CI = 0.65–0.91, Pheterogeneity < 0.001; homozygote comparison: OR = 0.58, 95% CI = 0.41–0.82, Pheterogeneity < 0.001). No association was observed between the polymorphism A>G of rs2735839 and risk of PCa. In addition, no association was observed between polymorphism A>G of rs266882 and risk of PCa. Serum KLK3 levels in PCa patients carrying CC/CT genotypes were statistically lower than those carrying TT genotypes. Conclusion: This meta-analysis suggests that rs1058205 polymorphism of KLK3 is a risk factor for PCa development, polymorphism T>C of rs1058205 is associated with decreased susceptibility to PCa particularly in Caucasian population.
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11
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Kim H, Choi SM, Park S. GSEH: A Novel Approach to Select Prostate Cancer-Associated Genes Using Gene Expression Heterogeneity. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2018; 15:129-146. [PMID: 27775535 DOI: 10.1109/tcbb.2016.2618927] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
When a gene shows varying levels of expression among normal people but similar levels in disease patients or shows similar levels of expression among normal people but different levels in disease patients, we can assume that the gene is associated with the disease. By utilizing this gene expression heterogeneity, we can obtain additional information that abets discovery of disease-associated genes. In this study, we used collaborative filtering to calculate the degree of gene expression heterogeneity between classes and then scored the genes on the basis of the degree of gene expression heterogeneity to find "differentially predicted" genes. Through the proposed method, we discovered more prostate cancer-associated genes than 10 comparable methods. The genes prioritized by the proposed method are potentially significant to biological processes of a disease and can provide insight into them.
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12
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Chen C, Xin Z. Single-nucleotide polymorphism rs1058205 of KLK3 is associated with the risk of prostate cancer: A case-control study of Han Chinese men in Northeast China. Medicine (Baltimore) 2017; 96:e6280. [PMID: 28272245 PMCID: PMC5348193 DOI: 10.1097/md.0000000000006280] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Prostate cancer (PCa) is a serious public health concern for men worldwide. However, the risk factors for PCa remain largely unclear. Aim of this study was to investigate statistical associations between the risk of prostate cancer and the rs1058205 single-nucleotide polymorphism (SNP) of the KLK3 gene, which encodes the prostate specific antigen (PSA), in a case-control study of Han Chinese men in Northeast China. METHODS Using a high-resolution melting curve genotyping method, we determined the genotype and allele distributions of rs1058205 in 2 groups of Han Chinese men, consisting of 268 PCa patients and 298 healthy control subjects. Logistic regression was used to evaluate associations between rs1058205 genotypes and the risk of PCa. Tumor staging and Gleason score were included in a stratified analysis of PCa risk. RESULTS The frequency of the TC genotype of rs1058205 in the PCa group was significantly lower than that in the control group (P = 0.049). The serum PSA level in participants with the TC genotype was significantly lower than that of the TT and CC genotypes in both the PCa and control groups (P < 0.010 for both). The TT genotype was associated with PCa, both with and without adjustment for age (P < 0.010 and P = 0.047, respectively). The TT genotype was also associated with the moderate- and high-risk PCa categories (P = 0.007 and 0.027, respectively). CONCLUSION The TT genotype may represent a useful biomarker for identifying high risk of PCa and as a postoperative prognosticator in Chinese PCa patients.
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Affiliation(s)
| | - Zhongqiu Xin
- Ultrasound Room, Daqing Oilfield General Hospital, Daqing, China
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13
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Pakula H, Xiang D, Li Z. A Tale of Two Signals: AR and WNT in Development and Tumorigenesis of Prostate and Mammary Gland. Cancers (Basel) 2017; 9:E14. [PMID: 28134791 PMCID: PMC5332937 DOI: 10.3390/cancers9020014] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 01/19/2017] [Accepted: 01/24/2017] [Indexed: 12/13/2022] Open
Abstract
Prostate cancer (PCa) is one of the most common cancers and among the leading causes of cancer deaths for men in industrialized countries. It has long been recognized that the prostate is an androgen-dependent organ and PCa is an androgen-dependent disease. Androgen action is mediated by the androgen receptor (AR). Androgen deprivation therapy (ADT) is the standard treatment for metastatic PCa. However, almost all advanced PCa cases progress to castration-resistant prostate cancer (CRPC) after a period of ADT. A variety of mechanisms of progression from androgen-dependent PCa to CRPC under ADT have been postulated, but it remains largely unclear as to when and how castration resistance arises within prostate tumors. In addition, AR signaling may be modulated by extracellular factors among which are the cysteine-rich glycoproteins WNTs. The WNTs are capable of signaling through several pathways, the best-characterized being the canonical WNT/β-catenin/TCF-mediated canonical pathway. Recent studies from sequencing PCa genomes revealed that CRPC cells frequently harbor mutations in major components of the WNT/β-catenin pathway. Moreover, the finding of an interaction between β-catenin and AR suggests a possible mechanism of cross talk between WNT and androgen/AR signaling pathways. In this review, we discuss the current knowledge of both AR and WNT pathways in prostate development and tumorigenesis, and their interaction during development of CRPC. We also review the possible therapeutic application of drugs that target both AR and WNT/β-catenin pathways. Finally, we extend our review of AR and WNT signaling to the mammary gland system and breast cancer. We highlight that the role of AR signaling and its interaction with WNT signaling in these two hormone-related cancer types are highly context-dependent.
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Affiliation(s)
- Hubert Pakula
- Division of Genetics, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, Room 466, Boston, MA 02115, USA.
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
| | - Dongxi Xiang
- Division of Genetics, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, Room 466, Boston, MA 02115, USA.
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
| | - Zhe Li
- Division of Genetics, Brigham and Women's Hospital, 77 Avenue Louis Pasteur, Room 466, Boston, MA 02115, USA.
- Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
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14
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Kontos CK, Adamopoulos PG, Papageorgiou SG, Pappa V, Scorilas A. mRNA overexpression of kallikrein-related peptidase 14 (KLK14) is an independent predictor of poor overall survival in chronic lymphocytic leukemia patients. Clin Chem Lab Med 2016; 54:315-24. [PMID: 26351937 DOI: 10.1515/cclm-2015-0456] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 06/24/2015] [Indexed: 11/15/2022]
Abstract
BACKGROUND Tissue kallikrein and kallikrein-related peptidases (KLKs) compose a family of serine endopeptidases with much clinical interest in oncology, as their potential as diagnostic and/or prognostic molecular biomarkers in several human malignancies has already been evidenced. However, none of the members of this family has ever been studied in hematological malignancies. Based on our preliminary results regarding the differential mRNA expression of several KLK genes in peripheral blood mononuclear cells (PBMCs) of patients with chronic lymphocytic leukemia (CLL) compared to healthy blood donors, we decided to study the diagnostic and prognostic potential of KLK14 mRNA expression in CLL. METHODS Total RNA was isolated from 69 CLL patients and 31 non-leukemic blood donors. After reverse transcription of poly(A)-RNA, KLK14 mRNA levels were quantified using a sensitive and accurate quantitative real-time PCR (qPCR) methodology. RESULTS According to ROC analysis, KLK14 mRNA overexpression successfully discriminated CLL patients from normal population (area under the curve [AUC] 0.89, 95% confidence interval [CI] 0.83-0.95, p<0.001). Moreover, although not clearly related to clinical staging or other prognostic factors including IGHV mutational status and CD38 expression, strong KLK14 mRNA expression was shown to predict reduced overall survival of CLL patients (p=0.026) using Kaplan-Meier survival analysis. The unfavorable prognostic value of KLK14 mRNA overexpression in CLL patients' PBMCs was independent of established prognostic factors of the disease, as shown by multivariate Cox regression analysis (hazard ratio [HR] 14.65, 95% CI 1.81-118.36, p=0.012). CONCLUSIONS KLK14 mRNA expression merits further investigation as a potential prognostic biomarker of overall survival of patients with CLL.
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MESH Headings
- Aged
- Aged, 80 and over
- Area Under Curve
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Complementarity Determining Regions/genetics
- Disease-Free Survival
- Female
- Gene Rearrangement
- Humans
- Immunophenotyping
- Kallikreins/genetics
- Kaplan-Meier Estimate
- Leukemia, Lymphocytic, Chronic, B-Cell/metabolism
- Leukemia, Lymphocytic, Chronic, B-Cell/mortality
- Leukemia, Lymphocytic, Chronic, B-Cell/pathology
- Leukocytes, Mononuclear/metabolism
- Male
- Middle Aged
- Mutation
- Prognosis
- Proportional Hazards Models
- RNA, Messenger/metabolism
- ROC Curve
- Real-Time Polymerase Chain Reaction
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15
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Involvement of Kallikrein-Related Peptidases in Normal and Pathologic Processes. DISEASE MARKERS 2015; 2015:946572. [PMID: 26783378 PMCID: PMC4689925 DOI: 10.1155/2015/946572] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 10/16/2015] [Accepted: 10/29/2015] [Indexed: 12/31/2022]
Abstract
Human kallikrein-related peptidases (KLKs) are a subgroup of serine proteases that participate in proteolytic pathways and control protein levels in normal physiology as well as in several pathological conditions. Their complex network of stimulatory and inhibitory interactions may induce inflammatory and immune responses and contribute to the neoplastic phenotype through the regulation of several cellular processes, such as proliferation, survival, migration, and invasion. This family of proteases, which includes one of the most useful cancer biomarkers, kallikrein-related peptidase 3 or PSA, also has a protective effect against cancer promoting apoptosis or counteracting angiogenesis and cell proliferation. Therefore, they represent attractive therapeutic targets and may have important applications in clinical oncology. Despite being intensively studied, many gaps in our knowledge on several molecular aspects of KLK functions still exist. This review aims to summarize recent data on their involvement in different processes related to health and disease, in particular those directly or indirectly linked to the neoplastic process.
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16
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Sullivan J, Kopp R, Stratton K, Manschreck C, Corines M, Rau-Murthy R, Hayes J, Lincon A, Ashraf A, Thomas T, Schrader K, Gallagher D, Hamilton R, Scher H, Lilja H, Scardino P, Eastham J, Offit K, Vijai J, Klein RJ. An analysis of the association between prostate cancer risk loci, PSA levels, disease aggressiveness and disease-specific mortality. Br J Cancer 2015; 113:166-72. [PMID: 26068399 PMCID: PMC4647539 DOI: 10.1038/bjc.2015.199] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 04/24/2015] [Accepted: 05/05/2015] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Genome-wide association studies have identified multiple single-nucleotide polymorphsims (SNPs) associated with prostate cancer (PCa). Although these SNPs have been clearly associated with disease risk, their relationship with clinical outcomes is less clear. Our aim was to assess the frequency of known PCa susceptibility alleles within a single institution ascertainment and to correlate risk alleles with disease-specific outcomes. METHODS We genotyped 1354 individuals treated for localised PCa between June 1988 and December 2007. Blood samples were prospectively collected and de-identified before being genotyped and matched to phenotypic data. We investigated associations between 61 SNPs and disease-specific end points using multivariable analysis and also determined if SNPs were associated with PSA at diagnosis. RESULTS Seven SNPs showed associations on multivariable analysis (P<0.05), rs13385191 with both biochemical recurrence (BR) and castrate metastasis (CM), rs339331 (BR), rs1894292, rs17178655 and rs11067228 (CM), and rs11902236 and rs4857841 PCa-specific mortality. After applying a Bonferroni correction for number of SNPs (P<0.0008), the only persistent significant association was between rs17632542 (KLK3) and PSA levels at diagnosis (P=1.4 × 10(-5)). CONCLUSIONS We confirmed that rs17632542 in KLK3 is associated with PSA at diagnosis. No significant association was seen between loci and disease-specific end points when accounting for multiple testing. This provides further evidence that known PCa risk SNPs do not predict likelihood of disease progression.
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Affiliation(s)
- J Sullivan
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R Kopp
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - K Stratton
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - C Manschreck
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - M Corines
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R Rau-Murthy
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - J Hayes
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - A Lincon
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - A Ashraf
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - T Thomas
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - K Schrader
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - D Gallagher
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R Hamilton
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - H Scher
- Department of Medicine, Genitourinary Medical Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - H Lilja
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - P Scardino
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - J Eastham
- Department of Surgery, Urology Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - K Offit
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - J Vijai
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - R J Klein
- Department of Medicine, Clinical Genetics Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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17
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He Y, Gu J, Strom S, Logothetis CJ, Kim J, Wu X. The prostate cancer susceptibility variant rs2735839 near KLK3 gene is associated with aggressive prostate cancer and can stratify gleason score 7 patients. Clin Cancer Res 2015; 20:5133-5139. [PMID: 25274378 DOI: 10.1158/1078-0432.ccr-14-0661] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
PURPOSE Gleason score (GS) 7 prostate cancer is a heterogeneous disease with different clinical behavior. We sought to identify genetic biomarkers that may predict the aggressiveness of GS 7 diseases. EXPERIMENTAL DESIGN We genotyped 72 prostate cancer susceptibility SNPs identified in genome-wide association studies in 1,827 white men with histologically confirmed prostate adenocarcinoma. SNPs associated with disease aggressiveness were identified by comparing high-aggressive (GS ≥8) and low-aggressive (GS ≤6) cases. The significant SNPs were then tested to see whether they could further stratify GS 7 prostate cancer. RESULTS Three SNPs-rs2735839, rs10486567, and rs103294-were associated with biopsy-proven high-aggressive (GS ≥8) prostate cancer (P < 0.05). Furthermore, the frequency of the variant allele (A) at rs2735839 was significantly higher in patients with biopsy-proven GS 4+3 disease than in those with GS 3 + 4 disease (P = 0.003). In multivariate logistic regression analysis, patients carrying the A allele at rs2735839 exhibited a 1.85-fold (95% confidence interval, 1.31-2.61) increased risk of being GS 4 + 3 compared with those with GS 3 + 4. The rs2735839 is located 600 base pair downstream of the KLK3 gene (encoding PSA) on 19q13.33 and has been shown to modulate PSA level, providing strong biologic plausibility for its association with prostate cancer aggressiveness. CONCLUSIONS We confirmed the association of the rs2735839 with high-aggressive prostate cancer (GS ≥8). Moreover, we reported for the first time that rs2735839 can stratify GS 7 patients, which would be clinically important for more accurately assessing the clinical behavior of the intermediate-grade prostate cancer and for tailoring personalized treatment and posttreatment management.
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Affiliation(s)
- Yonggang He
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Department of Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Gu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sara Strom
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christopher J Logothetis
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jeri Kim
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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18
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Song E, Hu Y, Hussein A, Yu CY, Tang H, Mechref Y. Characterization of the Glycosylation Site of Human PSA Prompted by Missense Mutation using LC-MS/MS. J Proteome Res 2015; 14:2872-83. [PMID: 26022737 DOI: 10.1021/acs.jproteome.5b00362] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Prostate specific antigen (PSA) is currently used as a diagnostic biomarker for prostate cancer. It is a glycoprotein possessing a single glycosylation site at N69. During our previous study of PSA N69 glycosylation, additional glycopeptides were observed in the PSA sample that were not previously reported and did not match glycopeptides of impure glycoproteins existing in the sample. This extra glycosylation site of PSA is associated with a mutation in KLK3 genes. Among single nucleotide polymorphisms (SNPs) of KLKs families, the rs61752561 in KLK3 genes is an unusual missense mutation resulting in the conversion of D102 to N in PSA amino acid sequence. Accordingly, a new N-linked glycosylation site is created with an N102MS motif. Here we report the first qualitative and quantitative glycoproteomic study of PSA N102 glycosylation site by LC-MS/MS. We successfully applied tandem MS to verify the amino acid sequence possessing N102 glycosylation site and associated glycoforms of PSA samples acquired from different suppliers. Among the three PSA samples, HexNAc2Hex5 was the predominant glycoform at N102, while HexNAc4Hex5Fuc1NeuAc1 or HexNAc4Hex5Fuc1NeuAc2 was the primary glycoforms at N69. D102 is the first amino acid of "kallikrein loop", which is close to a zinc-binding site and catalytic triad. The different glycosylation of N102 relative to N69 might be influenced by the close vicinity of N102 to these functional sites and steric hindrance.
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Affiliation(s)
| | | | - Ahmed Hussein
- ∥Department of Biotechnology, Alexandria University, 163-Horreya Avenue, El-Shatby 21526, Alexandria, Egypt
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19
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Helfand BT, Roehl KA, Cooper PR, McGuire BB, Fitzgerald LM, Cancel-Tassin G, Cornu JN, Bauer S, Van Blarigan EL, Chen X, Duggan D, Ostrander EA, Gwo-Shu M, Zhang ZF, Chang SC, Jeong S, Fontham ETH, Smith G, Mohler JL, Berndt SI, McDonnell SK, Kittles R, Rybicki BA, Freedman M, Kantoff PW, Pomerantz M, Breyer JP, Smith JR, Rebbeck TR, Mercola D, Isaacs WB, Wiklund F, Cussenot O, Thibodeau SN, Schaid DJ, Cannon-Albright L, Cooney KA, Chanock SJ, Stanford JL, Chan JM, Witte J, Xu J, Bensen JT, Taylor JA, Catalona WJ. Associations of prostate cancer risk variants with disease aggressiveness: results of the NCI-SPORE Genetics Working Group analysis of 18,343 cases. Hum Genet 2015; 134:439-50. [PMID: 25715684 PMCID: PMC4586077 DOI: 10.1007/s00439-015-1534-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 02/06/2015] [Indexed: 01/18/2023]
Abstract
Genetic studies have identified single nucleotide polymorphisms (SNPs) associated with the risk of prostate cancer (PC). It remains unclear whether such genetic variants are associated with disease aggressiveness. The NCI-SPORE Genetics Working Group retrospectively collected clinicopathologic information and genotype data for 36 SNPs which at the time had been validated to be associated with PC risk from 25,674 cases with PC. Cases were grouped according to race, Gleason score (Gleason ≤ 6, 7, ≥ 8) and aggressiveness (non-aggressive, intermediate, and aggressive disease). Statistical analyses were used to compare the frequency of the SNPs between different disease cohorts. After adjusting for multiple testing, only PC-risk SNP rs2735839 (G) was significantly and inversely associated with aggressive (OR = 0.77; 95 % CI 0.69-0.87) and high-grade disease (OR = 0.77; 95 % CI 0.68-0.86) in European men. Similar associations with aggressive (OR = 0.72; 95 % CI 0.58-0.89) and high-grade disease (OR = 0.69; 95 % CI 0.54-0.87) were documented in African-American subjects. The G allele of rs2735839 was associated with disease aggressiveness even at low PSA levels (<4.0 ng/mL) in both European and African-American men. Our results provide further support that a PC-risk SNP rs2735839 near the KLK3 gene on chromosome 19q13 may be associated with aggressive and high-grade PC. Future prospectively designed, case-case GWAS are needed to identify additional SNPs associated with PC aggressiveness.
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Affiliation(s)
- Brian T Helfand
- Department of Surgery, Division of Urology, John and Carol Walter Center for Urological Health, NorthShore University Health System, Evanston, IL, USA
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20
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Donin NM, Loeb S, Cooper PR, Roehl KA, Baumann NA, Catalona WJ, Helfand BT. Genetically adjusted prostate-specific antigen values may prevent delayed biopsies in African-American men. BJU Int 2014; 114:E50-E55. [PMID: 24712975 PMCID: PMC4326233 DOI: 10.1111/bju.12647] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
OBJECTIVE To evaluate whether genetic correction using the genetic variants prostate-specific antigen (PSA)-single nucleotide polymorphisms (SNPs) could reduce potentially unnecessary and/or delayed biopsies in African-American men. SUBJECTS AND METHODS We compared the genotypes of four PSA-SNPs between 964 Caucasian and 363 African-American men without known prostate cancer (PCa). We adjusted the PSA values based on an individual's PSA-SNP carrier status, and calculated the percentage of men that would meet commonly used PSA thresholds for biopsy (≥ 2.5 or ≥ 4.0 ng/mL) before and after genetic correction. Potentially unnecessary and delayed biopsies were defined as those men who were below and above the biopsy threshold after genetic correction, respectively. RESULTS Overall, 349 (96.1%) and 354 (97.5%) African-American men had measured PSA levels <2.5 and <4.0 ng/mL. Genetic correction in African-American men did not avoid any potentially unnecessary biopsies, but resulted in a significant (P < 0.001) reduction in potentially delayed biopsies by 2.5% and 3.9%, based on the biopsy threshold level. CONCLUSIONS There are significant differences in the influence of the PSA-SNPs between African-American and Caucasian men without known PCa, as genetic correction resulted in an increased proportion of African-American men crossing the threshold for biopsy. These results raise the question of whether genetic differences in PSA might contribute to delayed PCa diagnosis in African-American men.
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Affiliation(s)
- Nicholas M Donin
- Department of Urology, New York University Langone Medical Center and Manhattan Veterans Affairs Medical Center, New York, NY, USA
| | - Stacy Loeb
- Department of Urology, New York University Langone Medical Center and Manhattan Veterans Affairs Medical Center, New York, NY, USA
| | - Phillip R Cooper
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Kimberly A Roehl
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Nikola A Baumann
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - William J Catalona
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Brian T Helfand
- Division of Urology, NorthShore University Healthcare System, Evanston, IL, USA
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21
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Ge YZ, Xu Z, Xu LW, Yu P, Zhao Y, Xin H, Wu R, Tan SJ, Song Q, Wu JP, Li WC, Zhu JG, Jia RP. Pathway analysis of genome-wide association study on serum prostate-specific antigen levels. Gene 2014; 551:86-91. [PMID: 25168891 DOI: 10.1016/j.gene.2014.08.044] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2014] [Revised: 08/19/2014] [Accepted: 08/23/2014] [Indexed: 12/24/2022]
Abstract
The wide application of prostate-specific antigen (PSA) has contributed to the early diagnosis and improved management of prostate cancer (PCa). Accumulating evidence has suggested the involvement of genetic components in regulating serum PSA levels, and several single nucleotide polymorphisms (SNPs) have been identified by genome-wide association studies (GWASs). However, the GWASs' results have the limited power to identify the causal variants and pathways. After the quality control filters, a total of 330,540 genotyped SNPs from one GWAS with 657 PCa-free Caucasian males were included for the identify candidate causal SNPs and pathways (ICSNPathway) analysis. In addition, the genotype-phenotype association analysis has been conducted with the data from HapMap database. Overall, a total of four SNPs in three genes and six pathways were identified by ICSNPathway analysis, which in total provided three hypothetical mechanisms. First, CYP26B1 rs2241057 polymorphism (nonsynonymous coding) which leads to a Leu-to-Ser amino acid shift at position 264, was implicated in the pathways including meiosis, proximal/distal pattern formation, and M phase of meiotic cell cycle. Second, CLIC5 rs3734207 and rs11752816 polymorphisms (regulatory region) to the 2 iron, 2 sulfur cluster binding pathway through regulating expression levels of CLIC5 mRNA. Third, rs4819522 polymorphism (nonsynonymous coding) leads to a Thr-to-Met transition at position 350 of TBX1 and involves in the pathways about gland and endocrine system development. In summary, our results demonstrated four candidate SNPs in three genes (CYP26B1 rs2241057, CISD1 rs2251039, rs2590370, and TBX1 rs4819522 polymorphisms), which were involved in six potential pathways to influence serum PSA levels.
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Affiliation(s)
- Yu-Zheng Ge
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Zheng Xu
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Lu-Wei Xu
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Peng Yu
- Department of Urology, The First Hospital of Nanchang, Nanchang University, 128 Xiangshan North Road, Nanchang 330008, China
| | - Yan Zhao
- Department of Urology, Xuzhou Third People's Hospital, Jiangsu University, 131 Huancheng Road, Xuzhou 221005, China
| | - Hui Xin
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Ran Wu
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Si-Jia Tan
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Qun Song
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Jian-Ping Wu
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Wen-Cheng Li
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Jia-Geng Zhu
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China
| | - Rui-Peng Jia
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, China.
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22
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Shui IM, Lindström S, Kibel AS, Berndt SI, Campa D, Gerke T, Penney KL, Albanes D, Berg C, Bueno-de-Mesquita HB, Chanock S, Crawford ED, Diver WR, Gapstur SM, Gaziano JM, Giles GG, Henderson B, Hoover R, Johansson M, Le Marchand L, Ma J, Navarro C, Overvad K, Schumacher FR, Severi G, Siddiq A, Stampfer M, Stevens VL, Travis RC, Trichopoulos D, Vineis P, Mucci LA, Yeager M, Giovannucci E, Kraft P. Prostate cancer (PCa) risk variants and risk of fatal PCa in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium. Eur Urol 2014; 65:1069-75. [PMID: 24411283 PMCID: PMC4006298 DOI: 10.1016/j.eururo.2013.12.058] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 12/23/2013] [Indexed: 12/21/2022]
Abstract
BACKGROUND Screening and diagnosis of prostate cancer (PCa) is hampered by an inability to predict who has the potential to develop fatal disease and who has indolent cancer. Studies have identified multiple genetic risk loci for PCa incidence, but it is unknown whether they could be used as biomarkers for PCa-specific mortality (PCSM). OBJECTIVE To examine the association of 47 established PCa risk single-nucleotide polymorphisms (SNPs) with PCSM. DESIGN, SETTING, AND PARTICIPANTS We included 10 487 men who had PCa and 11 024 controls, with a median follow-up of 8.3 yr, during which 1053 PCa deaths occurred. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The main outcome was PCSM. The risk allele was defined as the allele associated with an increased risk for PCa in the literature. We used Cox proportional hazards regression to calculate the hazard ratios of each SNP with time to progression to PCSM after diagnosis. We also used logistic regression to calculate odds ratios for each risk SNP, comparing fatal PCa cases to controls. RESULTS AND LIMITATIONS Among the cases, we found that 8 of the 47 SNPs were significantly associated (p<0.05) with time to PCSM. The risk allele of rs11672691 (intergenic) was associated with an increased risk for PCSM, while 7 SNPs had risk alleles inversely associated (rs13385191 [C2orf43], rs17021918 [PDLIM5], rs10486567 [JAZF1], rs6465657 [LMTK2], rs7127900 (intergenic), rs2735839 [KLK3], rs10993994 [MSMB], rs13385191 [C2orf43]). In the case-control analysis, 22 SNPs were associated (p<0.05) with the risk of fatal PCa, but most did not differentiate between fatal and nonfatal PCa. Rs11672691 and rs10993994 were associated with both fatal and nonfatal PCa, while rs6465657, rs7127900, rs2735839, and rs13385191 were associated with nonfatal PCa only. CONCLUSIONS Eight established risk loci were associated with progression to PCSM after diagnosis. Twenty-two SNPs were associated with fatal PCa incidence, but most did not differentiate between fatal and nonfatal PCa. The relatively small magnitudes of the associations do not translate well into risk prediction, but these findings merit further follow-up, because they may yield important clues about the complex biology of fatal PCa. PATIENT SUMMARY In this report, we assessed whether established PCa risk variants could predict PCSM. We found eight risk variants associated with PCSM: One predicted an increased risk of PCSM, while seven were associated with decreased risk. Larger studies that focus on fatal PCa are needed to identify more markers that could aid prediction.
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Affiliation(s)
- Irene M Shui
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
| | - Sara Lindström
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Adam S Kibel
- Department of Surgery, Division of Urology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Daniele Campa
- Genomic Epidemiology Group, German Cancer Research Center (Deutsches Krebsforschungszentrum), Heidelberg, Germany
| | - Travis Gerke
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Kathryn L Penney
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Christine Berg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, Baltimore, MD, USA
| | - H Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment, Bilthoven, The Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands; School of Public Health, Imperial College London, London, United Kingdom
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | | | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - J Michael Gaziano
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA; Division of Aging, Brigham and Women's Hospital, Boston, MA, USA
| | - Graham G Giles
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Brian Henderson
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Robert Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mattias Johansson
- International Agency for Research on Cancer, Lyon, France; Department of Biobank Research, Umeå University, Umeå, Sweden
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Jing Ma
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Carmen Navarro
- Department of Epidemiology, Murcia Regional Health Authority, Murcia, Spain; Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Fredrick R Schumacher
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gianluca Severi
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia; HuGeF Foundation, Torino, Italy
| | - Afshan Siddiq
- Department of Genomics of Common Disease, Imperial College London, London, United Kingdom
| | - Meir Stampfer
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Victoria L Stevens
- Epidemiology Research Program, American Cancer Society, Atlanta, GA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Dimitrios Trichopoulos
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece; Hellenic Health Foundation, Athens, Greece
| | - Paolo Vineis
- HuGeF Foundation, Torino, Italy; School of Public Health, Imperial College London, London, United Kingdom
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Gaithersburg, MD, USA
| | - Edward Giovannucci
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
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Helfand BT, Catalona WJ. The Epidemiology and Clinical Implications of Genetic Variation in Prostate Cancer. Urol Clin North Am 2014; 41:277-97. [DOI: 10.1016/j.ucl.2014.01.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Cole C, Krampis K, Karagiannis K, Almeida JS, Faison WJ, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics 2014; 15:28. [PMID: 24467687 PMCID: PMC3916084 DOI: 10.1186/1471-2105-15-28] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Accepted: 01/22/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Next-generation sequencing (NGS) technologies have resulted in petabytes of scattered data, decentralized in archives, databases and sometimes in isolated hard-disks which are inaccessible for browsing and analysis. It is expected that curated secondary databases will help organize some of this Big Data thereby allowing users better navigate, search and compute on it. RESULTS To address the above challenge, we have implemented a NGS biocuration workflow and are analyzing short read sequences and associated metadata from cancer patients to better understand the human variome. Curation of variation and other related information from control (normal tissue) and case (tumor) samples will provide comprehensive background information that can be used in genomic medicine research and application studies. Our approach includes a CloudBioLinux Virtual Machine which is used upstream of an integrated High-performance Integrated Virtual Environment (HIVE) that encapsulates Curated Short Read archive (CSR) and a proteome-wide variation effect analysis tool (SNVDis). As a proof-of-concept, we have curated and analyzed control and case breast cancer datasets from the NCI cancer genomics program - The Cancer Genome Atlas (TCGA). Our efforts include reviewing and recording in CSR available clinical information on patients, mapping of the reads to the reference followed by identification of non-synonymous Single Nucleotide Variations (nsSNVs) and integrating the data with tools that allow analysis of effect nsSNVs on the human proteome. Furthermore, we have also developed a novel phylogenetic analysis algorithm that uses SNV positions and can be used to classify the patient population. The workflow described here lays the foundation for analysis of short read sequence data to identify rare and novel SNVs that are not present in dbSNP and therefore provides a more comprehensive understanding of the human variome. Variation results for single genes as well as the entire study are available from the CSR website (http://hive.biochemistry.gwu.edu/dna.cgi?cmd=csr). CONCLUSIONS Availability of thousands of sequenced samples from patients provides a rich repository of sequence information that can be utilized to identify individual level SNVs and their effect on the human proteome beyond what the dbSNP database provides.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Raja Mazumder
- Department of Biochemistry and Molecular Medicine, George Washington University Medical Center, Washington, DC 20037, USA.
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Helfand BT, Loeb S, Hu Q, Cooper PR, Roehl KA, McGuire BB, Baumann NA, Catalona WJ. Personalized prostate specific antigen testing using genetic variants may reduce unnecessary prostate biopsies. J Urol 2013; 189:1697-701. [PMID: 23246478 PMCID: PMC3631301 DOI: 10.1016/j.juro.2012.12.023] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2012] [Indexed: 11/28/2022]
Abstract
PURPOSE Recent studies have identified genetic variants associated with increased serum prostate specific antigen concentrations and prostate cancer risk, raising the possibility of diagnostic bias. By correcting for the effects of these variants on prostate specific antigen, it may be possible to create a personalized prostate specific antigen cutoff to more accurately identify individuals for whom biopsy is recommended. Therefore, we determined how many men would continue to meet common biopsy criteria after genetic correction of their measured prostate specific antigen concentrations. MATERIALS AND METHODS The genotypes of 4 single nucleotide polymorphisms previously associated with serum prostate specific antigen levels (rs2736098, rs10788160, rs11067228 and rs17632542) were determined in 964 healthy Caucasian volunteers without prostate cancer. Genetic correction of prostate specific antigen was performed by dividing an individual's prostate specific antigen value by his combined genetic risk. Analyses were used to compare the percentage of men who would meet commonly used biopsy thresholds (2.5 ng/ml or greater, or 4.0 ng/ml or greater) before and after genetic correction. RESULTS Genetic correction of serum prostate specific antigen results was associated with a significantly decreased percentage of men meeting biopsy thresholds. Genetic correction could lead to a 15% or 20% relative reduction in the total number of biopsies using a biopsy threshold of 2.5 ng/ml or greater, or 4.0 ng/ml or greater, respectively. In addition, genetic correction could result in an 18% to 22% reduction in the number of potentially unnecessary biopsies and a 3% decrease in potentially delayed diagnoses. CONCLUSIONS Our results suggest that 4 single nucleotide polymorphisms can be used to adjust a man's measured prostate specific antigen concentration and potentially delay or prevent unnecessary prostate biopsies in Caucasian men.
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Affiliation(s)
- Brian T. Helfand
- Division of Urology, Northshore University Healthcare System, Evanston, IL
| | - Stacy Loeb
- Department of Urology, New York University, New York, NY
| | - Qiaoyan Hu
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Phillip R. Cooper
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Kimberly A. Roehl
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Barry B. McGuire
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Nikola A. Baumann
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - William J. Catalona
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL
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Becker JT, McNeel DG. Presence of antigen-specific somatic allelic mutations and splice variants do not predict for immunological response to genetic vaccination. J Immunother Cancer 2013; 1:2. [PMID: 24764533 PMCID: PMC3986973 DOI: 10.1186/2051-1426-1-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Accepted: 03/06/2013] [Indexed: 11/10/2022] Open
Abstract
Background Antigen-specific anti-tumor vaccines have demonstrated clinical efficacy, but immunological and clinical responses appear to be patient-dependent. We hypothesized that naturally-occurring differences in amino acid sequence of a host’s target antigen might predict for immunological outcome from genetic vaccination by presentation of epitopes different from the vaccine. Methods Using peripheral blood cells from 33 patients who had been treated with a DNA vaccine encoding prostatic acid phosphatase (PAP), we sequenced the exons encoding PAP and PSA genes from somatic DNA to identify single nucleotide polymorphisms. In addition, mRNA was collected to detect alternative splice variants of PAP. Results We detected four synonymous coding mutations of PAP among 33 patients; non-synonymous coding mutations were not identified. Alternative splice variants of PAP were detected in 22/27 patients tested. The presence of detectable splice variants was not predictive of immunological outcome from vaccination. Immune responses to peptides encoded by these splice variants were common (16/27) prior to immunization, but not associated with immune responses elicited with vaccination. Conclusions These results suggest that antigen-specific immune responses detectable after treatment with this genetic vaccine are specific for the host-encoded antigen and not due to epitope differences between the vaccine and a particular individual’s somatic coding sequence.
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Affiliation(s)
- Jordan T Becker
- Department of Medicine, University of Wisconsin Carbone Cancer Center, 1111 Highland Avenue, Madison, WI 53705, USA
| | - Douglas G McNeel
- Department of Medicine, University of Wisconsin Carbone Cancer Center, 1111 Highland Avenue, Madison, WI 53705, USA
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Ziebarth JD, Bhattacharya A, Cui Y. Integrative analysis of somatic mutations altering microRNA targeting in cancer genomes. PLoS One 2012; 7:e47137. [PMID: 23091610 PMCID: PMC3473044 DOI: 10.1371/journal.pone.0047137] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2012] [Accepted: 09/11/2012] [Indexed: 12/13/2022] Open
Abstract
Determining the functional impact of somatic mutations is crucial to understanding tumorigenesis and metastasis. Recent sequences of several cancers have provided comprehensive lists of somatic mutations across entire genomes, enabling investigation of the functional impact of somatic mutations in non-coding regions. Here, we study somatic mutations in 3'UTRs of genes that have been identified in four cancers and computationally predict how they may alter miRNA targeting, potentially resulting in dysregulation of the expression of the genes harboring these mutations. We find that somatic mutations create or disrupt putative miRNA target sites in the 3'UTRs of many genes, including several genes, such as MITF, EPHA3, TAL1, SCG3, and GSDMA, which have been previously associated with cancer. We also integrate the somatic mutations with germline mutations and results of association studies. Specifically, we identify putative miRNA target sites in the 3'UTRs of BMPR1B, KLK3, and SPRY4 that are disrupted by both somatic and germline mutations and, also, are in linkage disequilibrium blocks with high scoring markers from cancer association studies. The somatic mutation in BMPR1B is located in a target site of miR-125b; germline mutations in this target site have previously been both shown to disrupt regulation of BMPR1B by miR-125b and linked with cancer.
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Affiliation(s)
- Jesse D. Ziebarth
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
- Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Anindya Bhattacharya
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
- Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
| | - Yan Cui
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
- Center for Integrative and Translational Genomics, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America
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Effectiveness of the Combined Evaluation of
KLK3
Genetics and Free-to-Total Prostate Specific Antigen Ratio for Prostate Cancer Diagnosis. J Urol 2012; 188:1124-30. [DOI: 10.1016/j.juro.2012.06.030] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2012] [Indexed: 11/24/2022]
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Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression. PLoS One 2012; 7:e45535. [PMID: 23029078 PMCID: PMC3448659 DOI: 10.1371/journal.pone.0045535] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2011] [Accepted: 08/23/2012] [Indexed: 12/17/2022] Open
Abstract
Background One primary goal of transcriptomic studies is identifying gene expression patterns correlating with disease progression. This is usually achieved by considering transcripts that independently pass an arbitrary threshold (e.g. p<0.05). In diseases involving severe perturbations of multiple molecular systems, such as Alzheimer’s disease (AD), this univariate approach often results in a large list of seemingly unrelated transcripts. We utilised a powerful multivariate clustering approach to identify clusters of RNA biomarkers strongly associated with markers of AD progression. We discuss the value of considering pairs of transcripts which, in contrast to individual transcripts, helps avoid natural human transcriptome variation that can overshadow disease-related changes. Methodology/Principal Findings We re-analysed a dataset of hippocampal transcript levels in nine controls and 22 patients with varying degrees of AD. A large-scale clustering approach determined groups of transcript probe sets that correlate strongly with measures of AD progression, including both clinical and neuropathological measures and quantifiers of the characteristic transcriptome shift from control to severe AD. This enabled identification of restricted groups of highly correlated probe sets from an initial list of 1,372 previously published by our group. We repeated this analysis on an expanded dataset that included all pair-wise combinations of the 1,372 probe sets. As clustering of this massive dataset is unfeasible using standard computational tools, we adapted and re-implemented a clustering algorithm that uses external memory algorithmic approach. This identified various pairs that strongly correlated with markers of AD progression and highlighted important biological pathways potentially involved in AD pathogenesis. Conclusions/Significance Our analyses demonstrate that, although there exists a relatively large molecular signature of AD progression, only a small number of transcripts recurrently cluster with different markers of AD progression. Furthermore, considering the relationship between two transcripts can highlight important biological relationships that are missed when considering either transcript in isolation.
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Prakash A, Rezai T, Krastins B, Sarracino D, Athanas M, Russo P, Zhang H, Tian Y, Li Y, Kulasingam V, Drabovich A, Smith CR, Batruch I, Oran PE, Fredolini C, Luchini A, Liotta L, Petricoin E, Diamandis EP, Chan DW, Nelson R, Lopez MF. Interlaboratory reproducibility of selective reaction monitoring assays using multiple upfront analyte enrichment strategies. J Proteome Res 2012; 11:3986-95. [PMID: 22639787 DOI: 10.1021/pr300014s] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Over the past few years, mass spectrometry has emerged as a technology to complement and potentially replace standard immunoassays in routine clinical core laboratories. Application of mass spectrometry to protein and peptide measurement can provide advantages including high sensitivity, the ability to multiplex analytes, and high specificity at the amino acid sequence level. In our previous study, we demonstrated excellent reproducibility of mass spectrometry-selective reaction monitoring (MS-SRM) assays when applying standardized standard operating procedures (SOPs) to measure synthetic peptides in a complex sample, as lack of reproducibility has been a frequent criticism leveled at the use of mass spectrometers in the clinical laboratory compared to immunoassays. Furthermore, an important caveat of SRM-based assays for proteins is that many low-abundance analytes require some type of enrichment before detection with MS. This adds a level of complexity to the procedure and the potential for irreproducibility increases, especially across different laboratories with different operators. The purpose of this study was to test the interlaboratory reproducibility of SRM assays with various upfront enrichment strategies and different types of clinical samples (representing real-world body fluids commonly encountered in routine clinical laboratories). Three different, previously published enrichment strategies for low-abundance analytes and a no-enrichment strategy for high-abundance analytes were tested across four different laboratories using different liquid chromatography-SRM (LC-SRM) platforms and previously developed SOPs. The results demonstrated that these assays were indeed reproducible with coefficients of variation of less than 30% for the measurement of important clinical proteins across all four laboratories in real world samples.
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Affiliation(s)
- Amol Prakash
- Thermo Fisher Scientific, BRIMS (Biomarker Research in Mass Spectrometry), Cambridge, Massachusetts 02139, United States.
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31
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Altuwaijri S. Role of Prostate Specific Antigen (PSA) in Pathogenesis of Prostate Cancer. ACTA ACUST UNITED AC 2012. [DOI: 10.4236/jct.2012.34043] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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