Evidence map›Paper›PMID 21224046›Full record

ArticleThe American journal of pathology2011

Determining prostate cancer-specific death through quantification of stromogenic carcinoma area in prostatectomy specimens.

Gustavo E Ayala, Bahar Muezzinoglu, Kai H Hammerich, Anna Frolov, Hao Liu, Peter T Scardino, Rile Li, Mohammad Sayeeduddin, Michael M Ittmann, Dov Kadmon and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 65 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Gustavo E AyalaDepartment of Pathology & Immunology, Baylor College of Medicine, Houston, Texas 77030, USA. gayala@bcm.edu
Bahar Muezzinoglu
Kai H Hammerich
Anna Frolov
Hao Liu
Peter T Scardino
Rile Li
Mohammad Sayeeduddin
Michael M Ittmann
Dov Kadmon
Brian J Miles
Thomas M Wheeler
David R Rowley
Baylor College of Medicine · USMemorial Sloan Kettering Cancer Center · US

Funding

MESENCHYMAL DERIVED GROWTH FACTORS IN PROSTATIC CANCERR01CA058093 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ROWLEY, DAVID R · 1992 to 2013
$3.3M
Neurogenesis in the Prostate Cancer MicroenvironmentU54CA126568 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ITTMANN, MICHAEL M · 2006 to 2010
$3.0M
NCI NIH HHS R01 CA058093NCI NIH HHS U54 CA126568NCI NIH HHS U54CA126568-01
6 · The paper itself

Abstract

We previously reported that reactive stroma grading in prostate cancer (PCa) is predictive of biochemical recurrence in prostatectomies and biopsies. In this study, we tested whether quantifying the percentage of reactive stromal grade 3 (RSG 3; stromogenic carcinoma pattern) in the entire tumor is predictive of PCa-specific death. Whole-mount prostatectomies operated by a single surgeon obtained between 1983 and 1998 were reviewed. Reactive stroma was evaluated as described previously, and areas of RSG 3 in the entire tumor were registered as percentages of total tumor. Statistical analysis was performed using Spearman, Kaplan-Meier, and Cox analyses. In all, 872 cases were evaluable. Quantification of RSG 3 percentage was an independent predictor of biochemical recurrence, analyzed as a continuous or grouped variable. Patients with higher RSG 3 percentages (larger tumor areas with RSG 3) had a significantly decreased biochemical recurrence-free survival than those with a lower RSG 3 percentage, even within the Gleason score 7 subset of patients. A nomogram introduced this new variable to the model. Furthermore, quantification of RSG 3 percentage was significantly predictive of PCa-specific death. Quantification of the RSG 3 (stromogenic carcinoma) area in PCa provides additional novel information on prognosis. These data substantiate the concept that the tumor microenvironment holds significant predictive information, as well as biological significance.

Indexed as

AgedCarcinomaCohort StudiesDisease-Free SurvivalHumansMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPrognosisProstatectomyProstatic Neoplasms

Identifiers

PMID21224046
PMCPMC3069909
OpenAlexW2172018700

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.