Literature DB >> 28993510

Genomic Gain of 16p13.3 in Prostate Cancer Predicts Poor Clinical Outcome after Surgical Intervention.

Yogesh M Bramhecha1,2, Karl-Philippe Guérard1, Shaghayegh Rouzbeh1, Eleonora Scarlata1, Fadi Brimo3, Simone Chevalier1,2, Lucie Hamel1, Alice Dragomir1, Armen G Aprikian1, Jacques Lapointe4,2.   

Abstract

Identifying tumors with high metastatic potential is key to improving the clinical management of prostate cancer. Recently, we characterized a chromosome 16p13.3 gain frequently observed in prostate cancer metastases and now demonstrate the prognostic value of this genomic alteration in surgically treated prostate cancer. Dual-color FISH was used to detect 16p13.3 gain on a human tissue microarray representing 304 primary radical prostatectomy (RP) cases with clinical follow-up data. The results were validated in an external dataset. The 16p13.3 gain was detected in 42% (113/267) of the specimens scorable by FISH and was significantly associated with clinicopathologic features of aggressive prostate cancer, including high preoperative PSA (P = 0.03) levels, high Gleason score (GS, P < 0.0001), advanced pathologic tumor stage (P < 0.0001), and positive surgical margins (P = 0.009). The 16p13.3 gain predicted biochemical recurrence (BCR) in the overall cohort (log-rank P = 0.0005), and in subsets of patients with PSA ≤10 or GS ≤7 (log-rank P = 0.02 and P = 0.006, respectively). Moreover, combining the 16p13.3 gain status with standard prognostic markers improved BCR risk stratification and identified a subgroup of patients with high probability of recurrence. The 16p13.3 gain status was also associated with an increased risk of developing distant metastases (log-rank P = 0.03) further substantiating its role in prostate cancer progression.Implications: This study demonstrates the prognostic significance of the 16p13.3 genomic gain in primary prostate tumors, suggesting potential utility in the clinical management of the disease by identifying patients at high risk of recurrence who may benefit from adjuvant therapies. Mol Cancer Res; 16(1); 115-23. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28993510     DOI: 10.1158/1541-7786.MCR-17-0270

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  4 in total

1.  Fatty acid oxidation enzyme Δ3, Δ2-enoyl-CoA isomerase 1 (ECI1) drives aggressive tumor phenotype and predicts poor clinical outcome in prostate cancer patients.

Authors:  Yogesh M Bramhecha; Karl-Philippe Guérard; Étienne Audet-Walsh; Shaghayegh Rouzbeh; Ola Kassem; Erwan Pernet; Eleonora Scarlata; Lucie Hamel; Fadi Brimo; Maziar Divangahi; Armen G Aprikian; Simone Chevalier; Vincent Giguère; Jacques Lapointe
Journal:  Oncogene       Date:  2022-04-11       Impact factor: 9.867

2.  Identification of Small Nucleolar RNA SNORD60 as a Potential Biomarker and Its Clinical Significance in Lung Adenocarcinoma.

Authors:  Hongwei Zhou; Yibing Yao; Yan Li; Nannan Guo; Huanhuan Zhang; Zhikuan Wang; Yingtai Chen; Guanghai Dai
Journal:  Biomed Res Int       Date:  2022-06-07       Impact factor: 3.246

3.  PDK1 Inhibitor BX795 Improves Cisplatin and Radio-Efficacy in Oral Squamous Cell Carcinoma by Downregulating the PDK1/CD47/Akt-Mediated Glycolysis Signaling Pathway.

Authors:  Shin Pai; Vijesh Kumar Yadav; Kuang-Tai Kuo; Narpati Wesa Pikatan; Chun-Shu Lin; Ming-Hsien Chien; Wei-Hwa Lee; Michael Hsiao; Shao-Chih Chiu; Chi-Tai Yeh; Jo-Ting Tsai
Journal:  Int J Mol Sci       Date:  2021-10-25       Impact factor: 5.923

4.  Integrated genomic and transcriptomic analysis reveals unique characteristics of hepatic metastases and pro-metastatic role of complement C1q in pancreatic ductal adenocarcinoma.

Authors:  Jianyu Yang; Ping Lin; Minwei Yang; Wei Liu; Xueliang Fu; Dejun Liu; Lingye Tao; Yanmiao Huo; Junfeng Zhang; Rong Hua; Zhigang Zhang; Yixue Li; Liwei Wang; Jing Xue; Hong Li; Yongwei Sun
Journal:  Genome Biol       Date:  2021-01-04       Impact factor: 13.583

  4 in total

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