Evidence map›Paper›PMID 39304747›Full record

ArticleBritish journal of cancer2024

Comparison of methods for cancer stem cell detection in prognosis of early stages NSCLC.

Boutaîna Chandouri, Thomas Naves, May Yassine, Léa Ikhlef, Jérémy Tricard, Alain Chaunavel, Zeinab Homayed, Julie Pannequin, Nicolas Girard, Stéphanie Durand and 2 more

Abstract readComparative Study
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

12 authors.

Boutaîna ChandouriUMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France. boutaina.chandouri@etu.unilim.fr.
Thomas NavesUMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.
May YassineUMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.
Léa IkhlefUMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.
Jérémy TricardUMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.
Alain ChaunavelDepartment of Pathology, Dupuytren University Hospital, Limoges, France.
Zeinab HomayedIGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.
Julie PannequinIGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.
Nicolas GirardThorax Institute Curie Montsouris, Institut Curie, Paris, France.
Stéphanie Durand *UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France. stephanie.durand@unilim.fr.
Vincent Carré *Carcidiag Biotechnologies company, Guéret, France.
Fabrice Lalloué *UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France. fabrice.lalloue@unilim.fr.ORCID http://orcid.org/0000-0003-0382-4948

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite advances in diagnosis and treatment in lung cancer, therapies still fail to improve patient management due to resistance mechanisms and relapses. As Cancer stem cells (CSCs) directly contribute to tumor growth and therapeutic resistance, their clinical detection represents a major challenge. However specific and additional CSC markers lack. Thus, our aim was to achieve selective detection of CSCs with specific glycan patterns and assess the CSCs burden to predict the risk of relapse in NSCLC tumors.

methodsThe lung CSCs detection and sorting with a lectin MIX were assessed and compared to CD133 in vitro. Then, its putative role as CSC biomarker was evaluated in vivo and its clinical significance on 221 NSCLC patients.

resultsWe showed a significant CSCs enrichment in the MIX+ sorted fraction compared to CD133+ cells and confirmed its high tumorigenic capacity. The MIX prognostic value on the overall survival from early stages patients was validated suggesting its potential for detecting CSCs directly linked to tumor aggressiveness.

conclusionThe MIX could be more relevant for detecting and sorting CSCs than CD133. Moreover, its prognosis value could enable clinicians to better classify early-stage patients at high risk of relapse in order to tailor therapeutic decisions.

Indexed as

AC133 AntigenCarcinoma, Non-Small-Cell LungLung NeoplasmsNeoplastic Stem CellsAgedAnimalsBiomarkers, TumorCell Line, TumorFemaleHumansMaleMiceMiddle AgedNeoplasm StagingPrognosisAC133 AntigenBiomarkers, TumorPROM1 protein, human

Identifiers

PMID39304747
PMCPMC11519646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.