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Interfocal heterogeneity challenges the clinical usefulness of molecular classification of primary prostate cancer.


ABSTRACT: Prostate cancer is a highly heterogeneous disease and typically multiple distinct cancer foci are present at primary diagnosis. Molecular classification of prostate cancer can potentially aid the precision of diagnosis and treatment. A promising genomic classifier was published by The Cancer Genome Atlas (TCGA), successfully classifying 74% of primary prostate cancers into seven groups based on one cancer sample per patient. Here, we explore the clinical usefulness of this classification by testing the classifier's performance in a multifocal context. We analyzed 106 cancer samples from 85 distinct cancer foci within 39 patients. By somatic mutation data from whole-exome sequencing and targeted qualitative and quantitative gene expression assays, 31% of the patients were uniquely classified into one of the seven TCGA classes. Further, different samples from the same focus had conflicting classification in 12% of the foci. In conclusion, the level of both intra- and interfocal heterogeneity is extensive and must be taken into consideration in the development of clinically useful molecular classification of primary prostate cancer.

SUBMITTER: Carm KT 

PROVIDER: S-EPMC6753093 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Interfocal heterogeneity challenges the clinical usefulness of molecular classification of primary prostate cancer.

Carm Kristina Totland KT   Hoff Andreas M AM   Bakken Anne Cathrine AC   Axcrona Ulrika U   Axcrona Karol K   Lothe Ragnhild A RA   Skotheim Rolf I RI   Løvf Marthe M  

Scientific reports 20190919 1


Prostate cancer is a highly heterogeneous disease and typically multiple distinct cancer foci are present at primary diagnosis. Molecular classification of prostate cancer can potentially aid the precision of diagnosis and treatment. A promising genomic classifier was published by The Cancer Genome Atlas (TCGA), successfully classifying 74% of primary prostate cancers into seven groups based on one cancer sample per patient. Here, we explore the clinical usefulness of this classification by test  ...[more]

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