Evidence map›Paper›PMID 33042459›Full record

ArticleAmerican journal of translational research2020

Prognostic impact of cancer stem cell markers

Bogdan Badic, Stéphanie Durand, Flaria El Khoury, Pierre De La Grange, David Gentien, Brigitte Simon, Catherine Le Jossic-Corcos, Laurent Corcos

Abstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Predictive capacity for local disease control of neogenin-1 (NEO1) transcriptional expression in patients with head and neck squamous cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

8 authors.

Bogdan BadicINSERM UMR 1101, Université de Brest 22 Avenue Camille Desmoulins, 29238 Brest, France.
Stéphanie DurandINSERM UMR 1078, Université de Brest 22 Avenue Camille Desmoulins, 29238 Brest, France.
Flaria El KhouryINSERM UMR 1078, Université de Brest 22 Avenue Camille Desmoulins, 29238 Brest, France.
Pierre De La GrangeGenoSplice Technology 19 Rue Claude Bernard, 75005 Paris, France.
David GentienInstitut Curie, Département de Recherche Translationnelle, Plateforme Génomique 1 Avenue Claude Vellefaux, 75010 Paris, France.
Brigitte SimonINSERM UMR 1078, Université de Brest 22 Avenue Camille Desmoulins, 29238 Brest, France.
Catherine Le Jossic-CorcosINSERM UMR 1078, Université de Brest 22 Avenue Camille Desmoulins, 29238 Brest, France.
Laurent CorcosINSERM UMR 1078, Université de Brest 22 Avenue Camille Desmoulins, 29238 Brest, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer develops according to a defined temporal sequence of genetic and epigenetic molecular events that may primarily affect cancer stem cells. In an attempt to identify new markers of such cells that would help predict patient outcome, we performed a comparative transcriptome analysis of colon cancer stem cells and normal colon stem cells. We identified 162 mRNAs, either over- or under-expressed. According to Cox multivariate regression with our set of 83 colorectal cancers, low expression of

Indexed as

ABCB1cancer stem cellColorectal cancerHIST1H2AENEO1prognostic factorswhole transcriptome analysis

Identifiers

PMID33042459
PMCPMC7540150

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.