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


Journal

British journal of cancer
ISSN: 1532-1827
Titre abrégé: Br J Cancer
Pays: England
ID NLM: 0370635

Informations de publication

Date de publication:
20 Sep 2024
Historique:
received: 28 07 2023
accepted: 27 08 2024
revised: 21 08 2024
medline: 21 9 2024
pubmed: 21 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

Despite 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. The 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. We 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. The 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.

Sections du résumé

BACKGROUND BACKGROUND
Despite 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.
METHODS METHODS
The 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.
RESULTS RESULTS
We 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.
CONCLUSION CONCLUSIONS
The 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.

Identifiants

pubmed: 39304747
doi: 10.1038/s41416-024-02839-9
pii: 10.1038/s41416-024-02839-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

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Auteurs

Boutaîna Chandouri (B)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France. boutaina.chandouri@etu.unilim.fr.
Carcidiag Biotechnologies company, Guéret, France. boutaina.chandouri@etu.unilim.fr.

Thomas Naves (T)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.

May Yassine (M)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.

Léa Ikhlef (L)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.

Jérémy Tricard (J)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France.
Thoracic and Cardiovascular Surgery Department, Limoges University Hospital Center, Limoges, France.

Alain Chaunavel (A)

Department of Pathology, Dupuytren University Hospital, Limoges, France.

Zeinab Homayed (Z)

IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.

Julie Pannequin (J)

IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.

Nicolas Girard (N)

Thorax Institute Curie Montsouris, Institut Curie, Paris, France.
UVSQ, Paris Saclay University, Versailles, France.

Stéphanie Durand (S)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France. stephanie.durand@unilim.fr.

Vincent Carré (V)

Carcidiag Biotechnologies company, Guéret, France.

Fabrice Lalloué (F)

UMR INSERM 1308 CAPTuR, Faculty of Medicine, University of Limoges, Limoges, France. fabrice.lalloue@unilim.fr.

Classifications MeSH