Tumour heterogeneity poses a significant challenge to cancer biomarker research

Background: The high degree of genomic diversity in cancer represents a challenge for identifying objective prognostic markers. We aimed to examine the extent of tumour heterogeneity and its effect on the evaluation of a selected prognostic marker using prostate cancer as a model. Methods: We assess...

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Published in:British journal of cancer Vol. 117; no. 3; pp. 367 - 375
Main Authors: Cyll, Karolina, Ersvær, Elin, Vlatkovic, Ljiljana, Pradhan, Manohar, Kildal, Wanja, Avranden Kjær, Marte, Kleppe, Andreas, Hveem, Tarjei S, Carlsen, Birgitte, Gill, Silje, Löffeler, Sven, Haug, Erik Skaaheim, Wæhre, Håkon, Sooriakumaran, Prasanna, Danielsen, Håvard E
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 25-07-2017
Nature Publishing Group
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Summary:Background: The high degree of genomic diversity in cancer represents a challenge for identifying objective prognostic markers. We aimed to examine the extent of tumour heterogeneity and its effect on the evaluation of a selected prognostic marker using prostate cancer as a model. Methods: We assessed Gleason Score (GS), DNA ploidy status and phosphatase and tensin homologue (PTEN) expression in radical prostatectomy specimens (RP) from 304 patients followed for a median of 10 years (interquartile range 6–12). GS was assessed for every tumour-containing block and DNA ploidy for a median of four samples for each RP. In a subgroup of 40 patients we assessed DNA ploidy and PTEN status in every tumour-containing block. In 102 patients assigned to active surveillance (AS), GS and DNA ploidy were studied in needle biopsies. Results: Extensive heterogeneity was observed for GS (89% of the patients) and DNA ploidy (40% of the patients) in the cohort, and DNA ploidy (60% of the patients) and PTEN expression (75% of the patients) in the subgroup. DNA ploidy was a significant prognostic marker when heterogeneity was taken into consideration. In the AS cohort we found heterogeneity in GS (24%) and in DNA ploidy (25%) specimens. Conclusions: Multi-sample analysis should be performed to support clinical treatment decisions.
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These authors contributed equally to this work.
Deceased.
ISSN:0007-0920
1532-1827
1532-1827
DOI:10.1038/bjc.2017.171