Evidence map›Paper›PMID 27916292›Full record

ArticleTranslational oncology2016

Cancer Prognosis Defined by the Combined Analysis of 8q, PTEN and ERG.

Maria P Silva, João D Barros-Silva, Elin Ersvær, Wanja Kildal, Tarjei Sveinsgjerd Hveem, Manohar Pradhan, Joana Vieira, Manuel R Teixeira, Håvard E Danielsen

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  6. Distinct subtypes of genomicMolecular cytogenetics · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Maria P SilvaDepartment of Genetics, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal; Cancer Genetics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.
João D Barros-SilvaDepartment of Genetics, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal; Cancer Genetics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.
Elin ErsværInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway; Center for Cancer Biomedicine, University of Oslo, Oslo, Norway.
Wanja KildalInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway; Center for Cancer Biomedicine, University of Oslo, Oslo, Norway.
Tarjei Sveinsgjerd HveemInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway; Center for Cancer Biomedicine, University of Oslo, Oslo, Norway; Department of Informatics, University of Oslo, 0310 Oslo, Norway.
Manohar PradhanInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway; Center for Cancer Biomedicine, University of Oslo, Oslo, Norway.
Joana VieiraDepartment of Genetics, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal.
Manuel R TeixeiraDepartment of Genetics, Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal; Cancer Genetics Group, IPO Porto Research Center (CI-IPOP), Portuguese Oncology Institute of Porto (IPO Porto), Porto, Portugal; Institute of Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal. Electronic address: manuel.teixeira@ipoporto.min-saude.pt.
Håvard E DanielsenInstitute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway; Center for Cancer Biomedicine, University of Oslo, Oslo, Norway; Department of Informatics, University of Oslo, 0310 Oslo, Norway; Nuffield Division of Clinical Laboratory Sciences, University of Oxford, Oxford, United Kingdom. Electronic address: hdaniels@ifi.uio.no.
Instituto Português de Oncologia Francisco Gentil · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overtreatment is a major concern in men diagnosed with prostate cancer. The aim of this study was to evaluate the combined prognostic role of three frequent molecular alterations in prostate cancer, namely relative 8q gain, ERG overexpression, and loss of PTEN expression, in a series of 136 patients with prostate cancer treated with prostatectomy and with a long follow-up. Fluorescent in situ hybridization was used to detect the relative copy number of 8q and immunohistochemistry was used for quantitative assessment of ERG and PTEN expression. During a median follow-up period of 117.8 months, 66 (49%) patients had disease recurrence. Relative 8q gain, ERG overexpression, and loss of PTEN expression were observed in 18%, 56%, and 33% of the cases, respectively. No association with patient recurrence-free survival was found for relative 8q gain or ERG overexpression on their own, whereas loss of PTEN expression was associated with worse recurrence-free survival (P=.006). Interestingly, in the subgroup of patients with normal PTEN expression, we found that the combined relative 8q gain/ERG overexpression is associated with high risk of recurrence (P=.008), suggesting that alternative mechanisms exist for progression into clinically aggressive disease. Additionally, in intermediate-risk patients with normal PTEN expression in their tumors, the combination of 8q gain/ERG overexpression was associated with a poor recurrence-free survival (P<.001), thus indicating independent prognostic value. This study shows that the combined analysis of 8q, ERG and PTEN contributes to an improved clinical outcome stratification of prostate cancer patients treated with radical prostatectomy.

Identifiers

PMID27916292
PMCPMC5143339
OpenAlexW2559256726

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.