To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
mRNA expression signature of Gleason grade predicts lethal prostate cancer
Örebro University, School of Medical Sciences.ORCID iD: 0000-0002-3649-2639
Show others and affiliations
2011 (English)In: Journal of Clinical Oncology, ISSN 0732-183X, E-ISSN 1527-7755, Vol. 29, no 17, p. 2391-2396Article in journal (Refereed) Published
Abstract [en]

PURPOSE: Prostate-specific antigen screening has led to enormous overtreatment of prostate cancer because of the inability to distinguish potentially lethal disease at diagnosis. We reasoned that by identifying an mRNA signature of Gleason grade, the best predictor of prognosis, we could improve prediction of lethal disease among men with moderate Gleason 7 tumors, the most common grade, and the most indeterminate in terms of prognosis.

PATIENTS AND METHODS: Using the complementary DNA-mediated annealing, selection, extension, and ligation assay, we measured the mRNA expression of 6,100 genes in prostate tumor tissue in the Swedish Watchful Waiting cohort (n = 358) and Physicians' Health Study (PHS; n = 109). We developed an mRNA signature of Gleason grade comparing individuals with Gleason ≤ 6 to those with Gleason ≥ 8 tumors and applied the model among patients with Gleason 7 to discriminate lethal cases.

RESULTS: We built a 157-gene signature using the Swedish data that predicted Gleason with low misclassification (area under the curve [AUC] = 0.91); when this signature was tested in the PHS, the discriminatory ability remained high (AUC = 0.94). In men with Gleason 7 tumors, who were excluded from the model building, the signature significantly improved the prediction of lethal disease beyond knowing whether the Gleason score was 4 + 3 or 3 + 4 (P = .006).

CONCLUSION: Our expression signature and the genes identified may improve our understanding of the de-differentiation process of prostate tumors. Additionally, the signature may have clinical applications among men with Gleason 7, by further estimating their risk of lethal prostate cancer and thereby guiding therapy decisions to improve outcomes and reduce overtreatment.

Place, publisher, year, edition, pages
American Society of Clinical Oncology , 2011. Vol. 29, no 17, p. 2391-2396
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:oru:diva-27431DOI: 10.1200/JCO.2010.32.6421ISI: 000291385200031PubMedID: 21537050Scopus ID: 2-s2.0-79959221782OAI: oai:DiVA.org:oru-27431DiVA, id: diva2:603707
Funder
Swedish Cancer Society
Note

Funding Agencies:

Dana-Farber/Harvard Cancer Center  5P50CA090381-08 

National Cancer Institute  5R01CA141298  CA-34944  CA-40360  CA-097193 

National Heart, Lung, and Blood Institute  HL-26490  HL-34595 

Örebro County Council Research Foundation  

National Research Service  T32 CA009001-32  GM-074897 

Prostate Cancer Foundation 

Available from: 2013-02-06 Created: 2013-02-06 Last updated: 2018-05-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Fall, KatjaAndersson, Swen-OlofJohansson, Jan-ErikAndrén, Ove

Search in DiVA

By author/editor
Fall, KatjaAndersson, Swen-OlofJohansson, Jan-ErikAndrén, Ove
By organisation
School of Medical SciencesSchool of Health and Medical Sciences
In the same journal
Journal of Clinical Oncology
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 637 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf