Evidence map›Paper›PMID 14973550›Full record

ArticleOncogene2004

Gene expression profiling of colon cancer by DNA microarrays and correlation with histoclinical parameters.

François Bertucci, Sébastien Salas, Séverine Eysteries, Valéry Nasser, Pascal Finetti, Christophe Ginestier, Emmanuelle Charafe-Jauffret, Béatrice Loriod, Loïc Bachelart, Jérôme Montfort and 11 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 116 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 4 pooled it
22.5field-weighted citation impact, top 1% 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

116 citing papers in PubMed, 4 syntheses or guidelines pooled it, 327 citations in OpenAlex.

  1. The role of NM23 in patients with colorectal cancer: A systematic review and meta-analysis.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    Pooled it
  2. Pooled it
  3. Guidelines for biomarker testing in colorectal carcinoma (CRC): a national consensus of the Spanish Society of Pathology (SEAP) and the Spanish Society of Medical Oncology (SEOM).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2012
    Guideline
  4. Pooled it
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56 more citing papers are in PubMed but not listed here.

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

21 authors at 5 institutions in 1 country.

François BertucciDépartement d'Oncologie Moléculaire, Institut Paoli-Calmettes and U119 Inserm, IFR57, Marseille, France.
Sébastien Salas
Séverine Eysteries
Valéry Nasser
Pascal Finetti
Christophe Ginestier
Emmanuelle Charafe-Jauffret
Béatrice Loriod
Loïc Bachelart
Jérôme Montfort
Geneviève Victorero
Frédéric Viret
Vincent Ollendorff
Vincent Fert
Marc Giovaninni
Jean-Robert Delpero
Catherine Nguyen
Patrice Viens
Geneviève Monges
Daniel Birnbaum
Rémi Houlgatte
Inserm · FRInstitut Paoli-Calmettes · FRCentre de Recherche en Cancérologie de Marseille · FRInstitut de Neurobiologie de la Méditerranée · FRTheories and Approaches of Genomic Complexity · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different diagnostic and prognostic groups of colorectal carcinoma (CRC) have been defined. However, accurate diagnosis and prediction of survival are sometimes difficult. Gene expression profiling might improve these classifications and bring new insights into underlying molecular mechanisms. We profiled 50 cancerous and noncancerous colon tissues using DNA microarrrays consisting of approximately 8000 spotted human cDNA. Global hierarchical clustering was to some extent able to distinguish clinically relevant subgroups, normal versus cancer tissues and metastatic versus nonmetastatic tumours. Supervised analyses improved these segregations by identifying sets of genes that discriminated between normal and tumour tissues, tumours associated or not with lymph node invasion or genetic instability, and tumours from the right or left colon. A similar approach identified a gene set that divided patients with significantly different 5-year survival (100% in one group and 40% in the other group; P=0.005). Discriminator genes were associated with various cellular processes. An immunohistochemical study on 382 tumour and normal samples deposited onto a tissue microarray subsequently validated the upregulation of NM23 in CRC and a downregulation in poor prognosis tumours. These results suggest that microarrays may provide means to improve the classification of CRC, provide new potential targets against carcinogenesis and new diagnostic and/or prognostic markers and therapeutic targets.

Indexed as

ColonColonic NeoplasmsGene Expression ProfilingHumansImmunohistochemistryLymph NodesNeoplasm MetastasisOligonucleotide Array Sequence Analysis

Identifiers

PMID14973550
OpenAlexW2163564081

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.