AI Article Synopsis
- The study aims to improve the detection of cancer stem cells (CSCs) in non-small cell lung cancer (NSCLC) using specific glycan patterns, addressing challenges posed by current resistance mechanisms and relapses.* -
- Researchers compared a lectin-based method (MIX) for detecting CSCs with the traditional CD133 marker, finding that MIX enriched for more tumorigenic CSCs and showed stronger prognostic value for patient outcomes.* -
- The findings suggest that MIX may be a more effective CSC marker than CD133, potentially helping clinicians identify early-stage NSCLC patients at greater risk of relapse for better treatment planning.*
Article Abstract
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: 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: 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: 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.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11519646 | PMC |
| http://dx.doi.org/10.1038/s41416-024-02839-9 | DOI Listing |
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