Evidence map›Paper›PMID 22075945›Full record

ArticleBritish journal of cancer2012

Identification of markers of prostate cancer progression using candidate gene expression.

S E T Larkin, S Holmes, I A Cree, T Walker, V Basketter, B Bickers, S Harris, S D Garbis, P A Townsend, C Aukim-Hastie

Abstract read
In one paragraph

Article in British journal of cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
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

59 citing papers in PubMed.

  1. Humoral Immune Response against Nontargeted Tumor Antigens after Treatment with Sipuleucel-T and Its Association with Improved Clinical Outcome.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
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  3. Analysis of qPCR Data: From PCR Efficiency to Absolute Target Quantity.International journal of molecular sciences · 2025
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  7. Cellular Signaling of Amino Acid Metabolism in Prostate Cancer.International journal of molecular sciences · 2025
    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

10 authors.

S E T LarkinSchool of Pharmacy and Biomedical Sciences, University of Portsmouth, St Michaels Building, White Swan Road, Portsmouth, PO1 2DT, UK. S.Larkin@soton.ac.uk
S Holmes
I A Cree
T Walker
V Basketter
B Bickers
S Harris
S D Garbis
P A Townsend
C Aukim-Hastie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic prostate cancer (PCa) has no curative treatment options. Some forms of PCa are indolent and slow growing, while others metastasise quickly and may prove fatal within a very short time. The basis of this variable prognosis is poorly understood, despite considerable research. The aim of this study was to identify markers associated with the progression of PCa.

methodsArtificial neuronal network analysis combined with data from literature and previous work produced a panel of putative PCa progression markers, which were used in a transcriptomic analysis of 29 radical prostatectomy samples and correlated with clinical outcome.

resultsStatistical analysis yielded seven putative markers of PCa progression, ANPEP, ABL1, PSCA, EFNA1, HSPB1, INMT and TRIP13. Two data transformation methods were utilised with only markers that were significant in both selected for further analysis. ANPEP and EFNA1 were significantly correlated with Gleason score. Models of progression co-utilising markers ANPEP and ABL1 or ANPEP and PSCA had the ability to correctly predict indolent or aggressive disease, based on Gleason score, in 89.7% and 86.2% of cases, respectively. Another model of TRIP13 expression in combination with preoperative PSA level and Gleason score was able to correctly predict recurrence in 85.7% of cases.

conclusionThis proof of principle study demonstrates a novel association of carcinogenic and tumourigenic gene expression with PCa stage and prognosis.

Indexed as

Biomarkers, TumorDisease ProgressionHumansMaleProstatic NeoplasmsReal-Time Polymerase Chain ReactionBiomarkers, Tumor

Identifiers

PMID22075945
PMCPMC3251845

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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.