Evidence map›Paper›PMID 19934305›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2009

Pro-prostate-specific antigen measurements in serum and tissue are associated with treatment necessity among men enrolled in expectant management for prostate cancer.

Danil V Makarov, Sumit Isharwal, Lori J Sokoll, Patricia Landis, Cameron Marlow, Jonathan I Epstein, Alan W Partin, H Ballentine Carter, Robert W Veltri

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  10. Emerging PSA-based tests to improve screening.The Urologic clinics of North America · 2014
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  20. Tumor markers in prostate cancer I: blood-based markers.Acta oncologica (Stockholm, Sweden) · 2011
    Review
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 5 institutions in 1 country.

Danil V MakarovRobert Wood Johnson Clinical Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA.
Sumit Isharwal
Lori J Sokoll
Patricia Landis
Cameron Marlow
Jonathan I Epstein
Alan W Partin
H Ballentine Carter
Robert W Veltri
VA Connecticut Healthcare System · USJohns Hopkins University · USYale University · USNational Cancer Institute · USScience Applications International Corporation (United States) · US

Funding

TRANSGENIC MODELS FOR PROSTATE CANCER AND AUTOIMMUNITYP50CA058236 · NCI · JOHNS HOPKINS UNIVERSITY · PI DENMEADE, SAMUEL R · 1992 to 2020
$43.9M
Clinical and Analytical Validation of Cancer BiomarkersU24CA115102 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI · 2005 to 2021
$7.4M
Development/Clinical Validation Markers for Prostate CaU01CA086323 · NCI · JOHNS HOPKINS UNIVERSITY · PI PARTIN, ALAN W · 2000 to 2010
$6.1M
NCI NIH HHS CA115102-04NCI NIH HHS P50 CA058236NCI NIH HHS P50CA58236NCI NIH HHS U01 CA086323NCI NIH HHS U24 CA115102
6 · The paper itself

Abstract

purposeWe assessed the association of quantitative clinical and pathologic information, including serum and tissue pro-prostate-specific antigen (proPSA) measurements, with outcomes among men with prostate cancer in an expectant management (active surveillance) program. EXPERIMENTAL

designWe identified 71 men enrolled in expectant management with frozen serum and tissue available from diagnosis: 39 subsequently developed unfavorable biopsies (Gleason score > or =7, > or =3 cores positive for cancer, >50% of any core involved with cancer), whereas 32 maintained favorable biopsies (median follow-up, 3.93 years). Serum total PSA, free PSA (fPSA), and [-2]proPSA were measured by the Beckman Coulter immunoassay. [-5/-7]proPSA was evaluated in cancer and benign-adjacent areas (BAA) by quantitative immunohistochemistry. Cox proportional hazards and Kaplan-Meier analyses were used to identify significant associations with unfavorable biopsy conversion.

resultsThe ratio [-2]proPSA/% fPSA in serum was significantly higher at diagnosis (0.87 +/- 0.44 versus 0.65 +/- 0.36 pg/mL; P = 0.02) in men developing unfavorable biopsies. [-5/-7]proPSA tissue staining was more intense (4104.09 +/- 3033.50 versus 2418.06 +/- 1606.04; P = 0.03) and comprised a greater fractional area (11.58 +/- 7.08% versus 6.88 +/- 5.20%; P = 0.01) in BAA of these men. Serum [-2]proPSA/% fPSA [hazard ratio, 2.53 (1.18-5.41); P = 0.02], BAA [-5/-7]proPSA % area [hazard ratio, 1.06 (1.01-1.12); P = 0.02] and BAA [-5/-7]proPSA stain intensity [hazard ratio, 1.000213 (1.000071-1.000354); P = 0.003] were significantly associated with unfavorable biopsy in Kaplan-Meier and Cox analyses. Serum [-2]proPSA/% fPSA significantly correlated with BAA [-5/-7]proPSA % area (rho = 0.40; P = 0.002) and BAA [-5/-7]proPSA stain intensity (rho = 0.33; P = 0.016).

conclusionsIn a prospective cohort of men enrolled into expectant management for prostate cancer, serum and tissue levels of proPSA at diagnosis are associated with need for subsequent treatment. The increase in serum proPSA/% fPSA might be driven by increased proPSA production from "premalignant" cells in the prostate BAA.

Indexed as

AgedBiomarkers, TumorBiopsyHumansMaleMedical OncologyMiddle AgedNeoplasm StagingProportional Hazards ModelsProstate-Specific AntigenProstatic NeoplasmsBiomarkers, TumorProstate-Specific Antigen

Identifiers

PMID19934305
PMCPMC2787812
OpenAlexW2169342294

What OpenQuestion holds

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Read underepoch 390

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.