Evidence map›Paper›PMID 23155391›Full record

ArticlePloS one2012

Dysplasia-carcinoma transition specific transcripts in colonic biopsy samples.

Orsolya Galamb, Barnabás Wichmann, Ferenc Sipos, Sándor Spisák, Tibor Krenács, Kinga Tóth, Katalin Leiszter, Alexandra Kalmár, Zsolt Tulassay, Béla Molnár

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In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

34 citing papers in PubMed.

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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.

Orsolya Galamb2nd Department of Medicine, Semmelweis University, Budapest, Hungary.
Barnabás Wichmann
Ferenc Sipos
Sándor Spisák
Tibor Krenács
Kinga Tóth
Katalin Leiszter
Alexandra Kalmár
Zsolt Tulassay
Béla Molnár

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe early molecular detection of the dysplasia-carcinoma transition may enhance the strength of diagnosis in the case of colonic biopsies. Our aims were to identify characteristic transcript sets in order to develop diagnostic mRNA expression patterns for objective classification of benign and malignant colorectal diseases and to test the classificatory power of these markers on an independent sample set. METHODOLOGY/PRINCIPAL

findingsColorectal cancer (CRC) and adenoma specific transcript sets were identified using HGU133plus2 microarrays and 53 biopsies (22 CRC, 20 adenoma and 11 normal). Ninety-four independent biopsies (27 CRC, 29 adenoma and 38 normal) were analyzed on microarrays for testing the classificatory power of the discriminatory genes. Array real-time PCR validation was done on 68 independent samples (24 CRC, 24 adenoma and 20 normal). A set of 11 transcripts (including CXCL1, CHI3L1 and GREM1) was determined which could correctly discriminate between high-grade dysplastic adenoma and CRC samples by 100% sensitivity and 88.9% specificity. The discriminatory power of the marker set was proved to be high on independent samples in both microarray and RT-PCR analyses. 95.6% of original and 94.1% of cross-validated samples was correctly classified in discriminant analysis. CONCLUSIONS/SIGNIFICANCE: The identified transcripts could correctly characterize the dysplasia-carcinoma transition in biopsy samples, also on a large independent sample set. These markers can establish the basis of gene expression based diagnostic classification of colorectal cancer. Diagnostic RT-PCR cards can become part of the automated routine procedure.

Indexed as

AdenomaCarcinomaCarcinoma, Transitional CellColonColonic NeoplasmsGene Expression Regulation, NeoplasticHumansHyperplasiaTissue Array Analysis

Identifiers

PMID23155391
PMCPMC3498283

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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.