Evidence map›Paper›PMID 33750906›Full record

ArticleProstate cancer and prostatic diseases2021

Correlative analysis between two commercially available post-prostatectomy genomic tests.

Mohammed Shahait, Mohammed Alshalalfa, Paul L Nguyen, Ayah Al-Fahmawi, Ryan W Dobbs, Priti Lal, David I Lee

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Prostate cancer and prostatic diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 2 countries.

Mohammed ShahaitKing Hussein Cancer Center, Amman, Jordan. mshahait@yahoo.com.ORCID http://orcid.org/0000-0003-2609-5629
Mohammed AlshalalfaDana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8405-3035
Paul L NguyenDana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ayah Al-FahmawiDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.
Ryan W DobbsDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.
Priti LalDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.
David I LeeDivision of Urology, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-2133-9284
University of Pennsylvania · USBrigham and Women's Hospital · USKing Hussein Cancer Center · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple genomic tests are available following radical prostatectomy (RP), however, there is a lack of head-to-head evidence for these tests. We sought to compare the performance of two genomic tests in predicting post-RP oncological outcomes.

methodsA cohort of 16 post-RP patients with adverse pathological features who had obtained both Decipher (D) and Prolaris (P) testing. The Pearson correlation was used to compare scores from D and cell cycle progression (CCP) from P. Then, we derived a microarray CCP (mCCP) from D and correlated with P-CCP. The associations of D and mCCP with biochemical recurrence (BCR) and metastasis (M) was evaluated in multivariable survival analysis (MVA) in a large cohort of RP patients treated at Johns Hopkins University (1992-2010). In addition, we characterized the expression of the 31 P-CCP genes and mCCP scores in a cohort of 17,967 RP samples from Decipher platform.

resultsThere was significant correlation between the D score and P-CCP (r = 0.67, p = 0.004), and between the 10-year probability of BCR reported by P and 5-year probability of M reported by D (r = 0.69, p = 0.003). In this cohort, mCCP derived from the D platform was highly correlated to the reported P-CCP scores from the P platform (r = 0.88, p = 6.7e-6). In a comparative retrospective RP cohort, both mCCP and D were significantly associated with M outcome (p < 0.01 for both). On MVA, D was a predictor of M (HR 1.3, 95% CI [1.12-1.52], p = 0.0005), while mCCP was not a predictor of M (p = 0.62). In the D platform cohort, the 31 P-CCP genes were correlated to each other, and TOP2A was the most correlated to mCCP (r = 0.7).

conclusionsWe found that P and D scores post-RP were correlated and help in identifying patients who at high risk of BCR in this cohort. In a larger cohort with longer follow-up, D was predictor of M, whereas mCCP was not.

Indexed as

Biomarkers, TumorFollow-Up StudiesGenomicsHumansMaleNeoplasm Recurrence, LocalPrognosisProstatectomyProstatic NeoplasmsReagent Kits, DiagnosticRetrospective StudiesRisk AssessmentBiomarkers, TumorReagent Kits, Diagnostic

Identifiers

PMID33750906
OpenAlexW3133875090

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Registered trials

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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.