Literature DB >> 29945238

Comprehensive molecular classification of localized prostate adenocarcinoma reveals a tumour subtype predictive of non-aggressive disease.

A Kamoun1, G Cancel-Tassin2, G Fromont3, N Elarouci4, L Armenoult4, M Ayadi4, J Irani5, X Leroy6, A Villers7, G Fournier8, L Doucet9, S Boyault10, L Brureau11, L Multigner12, A Diedhiou13, M Roupret14, E Compérat15, P Blanchet11, A de Reyniès4, O Cussenot16.   

Abstract

Background: Management of localized prostate cancer (PCa) is a major clinical challenge since most of these cancers would not evolve but a majority of patients will still undergo a life-changing radical surgery. Molecular studies have shown that PCa can be classified according to their genomic alterations but none of the published PCa molecular classifications could identify a subtype corresponding to non-evolutive tumours. Materials and methods: Multi-omics molecular profiling was carried out on post-radical prostatectomy material from a cohort of 130 patients with localized PCa. We used unsupervised classification techniques to build a comprehensive classification of prostate tumours based on three molecular levels: DNA copy number, DNA methylation, and mRNA expression. Merged data from our cohort and The Cancer Genome Atlas cohort were used to characterize the resulting tumour subtypes. We measured subtype-associated risks of biochemical relapse using Cox regression models and survival data from five cohorts including the two aforementioned.
Results: We describe three PCa molecular subtypes associated with specific molecular characteristics and different clinical outcomes. Particularly, one subtype was strongly associated with the absence of biochemical recurrence. We validated this finding on 746 samples from 5 distinct cohorts (P = 3.41 × 10-8, N = 746 tumour samples), and showed that our subtyping approach outperformed the most popular prognostic molecular signatures to accurately identify a subset of patients with a non-evolutive disease. We provide a set of 36 transcriptomic biomarkers to robustly identify this subtype of non-evolutive cases whose prevalence was estimated to 22% of all localized PCa tumours.
Conclusion: At least 20% of patients with localized PCa can be accurately predicted to have a non-evolutive disease on the basis of their molecular subtype. Those patients should not undergo immediate surgery and rather be placed under active surveillance.

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Year:  2018        PMID: 29945238     DOI: 10.1093/annonc/mdy224

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  11 in total

1.  Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model.

Authors:  Polina Suter; Eva Dazert; Jack Kuipers; Charlotte K Y Ng; Tuyana Boldanova; Michael N Hall; Markus H Heim; Niko Beerenwinkel
Journal:  PLoS Comput Biol       Date:  2022-09-06       Impact factor: 4.779

2.  Variation in Molecularly Defined Prostate Tumor Subtypes by Self-identified Race.

Authors:  Kevin H Kensler; Shivanshu Awasthi; Mohamed Alshalalfa; Bruce J Trock; Stephen J Freedland; Michael R Freeman; Sungyong You; Brandon A Mahal; Robert B Den; Adam P Dicker; R Jeffrey Karnes; Eric A Klein; Priti Lal; Yang Liu; Elai Davicioni; Walter Rayford; Kosj Yamoah; Timothy R Rebbeck
Journal:  Eur Urol Open Sci       Date:  2022-04-26

3.  Comprehensive data analysis of genomics, epigenomics, and transcriptomics to identify specific biomolecular markers for prostate adenocarcinoma.

Authors:  Chunwei Ye; Haifeng Wang; Zhipeng Li; Chengxing Xia; Shunhui Yuan; Ruping Yan; Xiaofang Yang; Tao Ma; Xingqiao Wen; Delin Yang
Journal:  Transl Androl Urol       Date:  2021-07

Review 4.  Molecular tracing of prostate cancer lethality.

Authors:  Yuanshuo Alice Wang; John Sfakianos; Ashutosh K Tewari; Carlos Cordon-Cardo; Natasha Kyprianou
Journal:  Oncogene       Date:  2020-10-12       Impact factor: 9.867

5.  MAP3K7 Loss Drives Enhanced Androgen Signaling and Independently Confers Risk of Recurrence in Prostate Cancer with Joint Loss of CHD1.

Authors:  Leah C Rider; Lindsey U Rodrigues; Lauren K Jillson; Lina Romero; Anis Karimpour-Fard; Cera Nieto; Claire Gillette; Kathleen Torkko; Etienne Danis; Elizabeth E Smith; Rosalie Nolley; Donna M Peehl; M Scott Lucia; James C Costello; Scott D Cramer
Journal:  Mol Cancer Res       Date:  2021-04-12       Impact factor: 5.852

6.  Major Histocompatibility Complex Genes as Therapeutic Opportunity for Immune Cold Molecular Cancer Subtypes.

Authors:  Paweł Karpiński; Łukasz Łaczmański; Maria M Sąsiadek
Journal:  J Immunol Res       Date:  2020-11-17       Impact factor: 4.818

7.  Role of the DNA damage response in prostate cancer formation, progression and treatment.

Authors:  Wenhao Zhang; Dik C van Gent; Luca Incrocci; Wytske M van Weerden; Julie Nonnekens
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-06-13       Impact factor: 5.554

Review 8.  The Genetic Complexity of Prostate Cancer.

Authors:  Eva Compérat; Gabriel Wasinger; André Oszwald; Renate Kain; Geraldine Cancel-Tassin; Olivier Cussenot
Journal:  Genes (Basel)       Date:  2020-11-25       Impact factor: 4.096

9.  A proof of concept for targeting the PrPC - Amyloid β peptide interaction in basal prostate cancer and mesenchymal colon cancer.

Authors:  Sophie Mouillet-Richard; Séverine Martin-Lannerée; Delphine Le Corre; Théo Z Hirsch; Alexandre Ghazi; Marine Sroussi; Camilla Pilati; Aurélien de Reyniès; Fatima Djouadi; Nicolas Vodovar; Jean-Marie Launay; Pierre Laurent-Puig
Journal:  Oncogene       Date:  2022-08-12       Impact factor: 8.756

10.  Prostate cancer in omics era.

Authors:  Nasrin Gholami; Amin Haghparast; Iraj Alipourfard; Majid Nazari
Journal:  Cancer Cell Int       Date:  2022-09-05       Impact factor: 6.429

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