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Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors

PURPOSE: Microsatellite instability (MSI) is currently the only predictive biomarker of efficacy of immune checkpoint inhibitors (ICI) in metastatic colorectal cancers (mCRC). However, 10% to 40% of patients with MSI mCRC will experience a primary resistance to ICI. EXPERIMENTAL DESIGN: In two cohor...

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Autores principales: Gallois, Claire, Landi, Matteo, Taieb, Julien, Sroussi, Marine, Saberzadeh-Ardestani, Bahar, Cazelles, Antoine, Lonardi, Sara, Bergamo, Francesca, Intini, Rossana, Maddalena, Giulia, Pietrantonio, Filippo, Corti, Francesca, Ambrosini, Margherita, Martinetti, Antonia, Germani, Marco Maria, Boccaccio, Chiara, Vetere, Guglielmo, Mouillet-Richard, Sophie, de Reynies, Aurélien, Sinicrope, Frank A., Cremolini, Chiara, Laurent-Puig, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502457/
https://www.ncbi.nlm.nih.gov/pubmed/37439810
http://dx.doi.org/10.1158/1078-0432.CCR-22-3964
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author Gallois, Claire
Landi, Matteo
Taieb, Julien
Sroussi, Marine
Saberzadeh-Ardestani, Bahar
Cazelles, Antoine
Lonardi, Sara
Bergamo, Francesca
Intini, Rossana
Maddalena, Giulia
Pietrantonio, Filippo
Corti, Francesca
Ambrosini, Margherita
Martinetti, Antonia
Germani, Marco Maria
Boccaccio, Chiara
Vetere, Guglielmo
Mouillet-Richard, Sophie
de Reynies, Aurélien
Sinicrope, Frank A.
Cremolini, Chiara
Laurent-Puig, Pierre
author_facet Gallois, Claire
Landi, Matteo
Taieb, Julien
Sroussi, Marine
Saberzadeh-Ardestani, Bahar
Cazelles, Antoine
Lonardi, Sara
Bergamo, Francesca
Intini, Rossana
Maddalena, Giulia
Pietrantonio, Filippo
Corti, Francesca
Ambrosini, Margherita
Martinetti, Antonia
Germani, Marco Maria
Boccaccio, Chiara
Vetere, Guglielmo
Mouillet-Richard, Sophie
de Reynies, Aurélien
Sinicrope, Frank A.
Cremolini, Chiara
Laurent-Puig, Pierre
author_sort Gallois, Claire
collection PubMed
description PURPOSE: Microsatellite instability (MSI) is currently the only predictive biomarker of efficacy of immune checkpoint inhibitors (ICI) in metastatic colorectal cancers (mCRC). However, 10% to 40% of patients with MSI mCRC will experience a primary resistance to ICI. EXPERIMENTAL DESIGN: In two cohorts of patients with MSI mCRC treated with ICI (exploratory, N = 103; validation, N = 35), 3′ RNA sequencing was performed from primary tumors. Previously described single-cell transcriptomic signatures of tumor microenvironment (TME) were analyzed. RESULTS: In the exploratory cohort, the unsupervised clustering allowed the identification of three clusters of tumors with distinct transcriptional profiles: cluster A (“stromal(HIGH)-proliferation(LOW)”), cluster B (“stromal(HIGH)-proliferation(MED)”), and cluster C (“stromal(LOW)-proliferation(HIGH)”), with an enrichment of patients progressing at first disease assessment under ICI in cluster A (30% vs. 12% in cluster B and 8.1% in cluster C; P = 0.074). Progression-free survival (PFS) was also significantly shorter in patients belonging to cluster A, compared with clusters B or C (P < 0.001) with 2-year PFS rates of 33.5%, 80.5%, and 78.3%, respectively. In multivariate analysis, PFS was still significantly longer in patients belonging to cluster B [HR, 0.19; 95% confidence interval (CI), 0.08–0.45; P < 0.001] and cluster C (HR, 0.25; 95% CI, 0.10–0.59; P = 0.02), compared with patients belonging to cluster A. The association of this clustering with PFS under ICI was confirmed in the validation cohort. PFS related to non–ICI-based regimens was not significantly different according to cluster. CONCLUSIONS: This unsupervised transcriptomic classification identified three groups of MSI mCRCs with different compositions of TME cells and proliferative capacities of TME/tumor cells. The “stromal(HIGH)-proliferation(LOW)” cluster is associated with a poorer prognosis with ICI treatment.
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spelling pubmed-105024572023-09-16 Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors Gallois, Claire Landi, Matteo Taieb, Julien Sroussi, Marine Saberzadeh-Ardestani, Bahar Cazelles, Antoine Lonardi, Sara Bergamo, Francesca Intini, Rossana Maddalena, Giulia Pietrantonio, Filippo Corti, Francesca Ambrosini, Margherita Martinetti, Antonia Germani, Marco Maria Boccaccio, Chiara Vetere, Guglielmo Mouillet-Richard, Sophie de Reynies, Aurélien Sinicrope, Frank A. Cremolini, Chiara Laurent-Puig, Pierre Clin Cancer Res Translational Cancer Mechanisms and Therapy PURPOSE: Microsatellite instability (MSI) is currently the only predictive biomarker of efficacy of immune checkpoint inhibitors (ICI) in metastatic colorectal cancers (mCRC). However, 10% to 40% of patients with MSI mCRC will experience a primary resistance to ICI. EXPERIMENTAL DESIGN: In two cohorts of patients with MSI mCRC treated with ICI (exploratory, N = 103; validation, N = 35), 3′ RNA sequencing was performed from primary tumors. Previously described single-cell transcriptomic signatures of tumor microenvironment (TME) were analyzed. RESULTS: In the exploratory cohort, the unsupervised clustering allowed the identification of three clusters of tumors with distinct transcriptional profiles: cluster A (“stromal(HIGH)-proliferation(LOW)”), cluster B (“stromal(HIGH)-proliferation(MED)”), and cluster C (“stromal(LOW)-proliferation(HIGH)”), with an enrichment of patients progressing at first disease assessment under ICI in cluster A (30% vs. 12% in cluster B and 8.1% in cluster C; P = 0.074). Progression-free survival (PFS) was also significantly shorter in patients belonging to cluster A, compared with clusters B or C (P < 0.001) with 2-year PFS rates of 33.5%, 80.5%, and 78.3%, respectively. In multivariate analysis, PFS was still significantly longer in patients belonging to cluster B [HR, 0.19; 95% confidence interval (CI), 0.08–0.45; P < 0.001] and cluster C (HR, 0.25; 95% CI, 0.10–0.59; P = 0.02), compared with patients belonging to cluster A. The association of this clustering with PFS under ICI was confirmed in the validation cohort. PFS related to non–ICI-based regimens was not significantly different according to cluster. CONCLUSIONS: This unsupervised transcriptomic classification identified three groups of MSI mCRCs with different compositions of TME cells and proliferative capacities of TME/tumor cells. The “stromal(HIGH)-proliferation(LOW)” cluster is associated with a poorer prognosis with ICI treatment. American Association for Cancer Research 2023-09-15 2023-07-13 /pmc/articles/PMC10502457/ /pubmed/37439810 http://dx.doi.org/10.1158/1078-0432.CCR-22-3964 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Translational Cancer Mechanisms and Therapy
Gallois, Claire
Landi, Matteo
Taieb, Julien
Sroussi, Marine
Saberzadeh-Ardestani, Bahar
Cazelles, Antoine
Lonardi, Sara
Bergamo, Francesca
Intini, Rossana
Maddalena, Giulia
Pietrantonio, Filippo
Corti, Francesca
Ambrosini, Margherita
Martinetti, Antonia
Germani, Marco Maria
Boccaccio, Chiara
Vetere, Guglielmo
Mouillet-Richard, Sophie
de Reynies, Aurélien
Sinicrope, Frank A.
Cremolini, Chiara
Laurent-Puig, Pierre
Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors
title Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors
title_full Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors
title_fullStr Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors
title_full_unstemmed Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors
title_short Transcriptomic Signatures of MSI-High Metastatic Colorectal Cancer Predict Efficacy of Immune Checkpoint Inhibitors
title_sort transcriptomic signatures of msi-high metastatic colorectal cancer predict efficacy of immune checkpoint inhibitors
topic Translational Cancer Mechanisms and Therapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502457/
https://www.ncbi.nlm.nih.gov/pubmed/37439810
http://dx.doi.org/10.1158/1078-0432.CCR-22-3964
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