Immunotherapy in mismatch repair-deficient metastatic colorectal cancer - Outcome and novel predictive markers.

DMMR Immunotherapy Liver metastasis Lung metastasis MCRC MSI-H

Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
15 Dec 2023
Historique:
received: 23 09 2023
revised: 01 12 2023
accepted: 08 12 2023
medline: 2 1 2024
pubmed: 2 1 2024
entrez: 29 12 2023
Statut: aheadofprint

Résumé

This study aims to assess predictive markers for response to immunotherapy in dMMR/MSI-H metastatic colorectal cancer (mCRC) patients. A study using two prospective cohorts from MD Anderson Cancer Center and Sheba Medical Center of consecutive patients with dMMR/MSI-H mCRC that were treated with immunotherapy between 2014-2022. Primary outcome was progression-free survival (PFS) and secondary outcome was overall response rate (ORR). Evaluated predictors included ECOG-PS score, RAS/BRAF status, single-agent versus doublet immunotherapy, metastatic sites, disease burden, and CEA levels prior to treatment initiation. Kaplan-Meier analysis and Cox proportional hazard regression model were used to analyze the effect of exposure variables on PFS. The study included 153 patients. Median follow-up time was 26 months (IQR 11-48). Median PFS was 51.6 months (95%CI 38.1-NR) and ORR was 58.1%. In a univariate analysis, male sex was associated with worse PFS with a HR of 1.67 (95% CI 1.00-2.79); Right-sided tumors were associated with improved PFS with a HR of 0.56 (95% CI 0.32-0.97); Liver or lung metastasis were associated with worse PFS with HRs of 2.35 (95%CI 1.43-3.88) and 2.30 (95%CI 1.31-4.04), respectively; ECOG-PS score ≥ 2, CEA levels ˃5 μg/L prior to treatment initiation and ≥ 3 metastatic sites were associated with worse PFS with HRs of 2.09 (95%CI 0.98-4.47), 2.23 (95%CI 1.30-3.81) and 3.11 (95%CI 1.61-6.03), respectively. Liver or lung metastasis remained significant in a multivariable model. Extent of disease (worse PFS with high CEA, poor ECOG-PS and ≥3 metastatic sites) and disease location (worse PFS with liver or lung metastasis and left sided tumor) were associated with immunotherapy outcome in dMMR/MSI-H mCRC.

Sections du résumé

BACKGROUND BACKGROUND
This study aims to assess predictive markers for response to immunotherapy in dMMR/MSI-H metastatic colorectal cancer (mCRC) patients.
MATERIALS AND METHODS METHODS
A study using two prospective cohorts from MD Anderson Cancer Center and Sheba Medical Center of consecutive patients with dMMR/MSI-H mCRC that were treated with immunotherapy between 2014-2022. Primary outcome was progression-free survival (PFS) and secondary outcome was overall response rate (ORR). Evaluated predictors included ECOG-PS score, RAS/BRAF status, single-agent versus doublet immunotherapy, metastatic sites, disease burden, and CEA levels prior to treatment initiation. Kaplan-Meier analysis and Cox proportional hazard regression model were used to analyze the effect of exposure variables on PFS.
RESULTS RESULTS
The study included 153 patients. Median follow-up time was 26 months (IQR 11-48). Median PFS was 51.6 months (95%CI 38.1-NR) and ORR was 58.1%. In a univariate analysis, male sex was associated with worse PFS with a HR of 1.67 (95% CI 1.00-2.79); Right-sided tumors were associated with improved PFS with a HR of 0.56 (95% CI 0.32-0.97); Liver or lung metastasis were associated with worse PFS with HRs of 2.35 (95%CI 1.43-3.88) and 2.30 (95%CI 1.31-4.04), respectively; ECOG-PS score ≥ 2, CEA levels ˃5 μg/L prior to treatment initiation and ≥ 3 metastatic sites were associated with worse PFS with HRs of 2.09 (95%CI 0.98-4.47), 2.23 (95%CI 1.30-3.81) and 3.11 (95%CI 1.61-6.03), respectively. Liver or lung metastasis remained significant in a multivariable model.
CONCLUSIONS CONCLUSIONS
Extent of disease (worse PFS with high CEA, poor ECOG-PS and ≥3 metastatic sites) and disease location (worse PFS with liver or lung metastasis and left sided tumor) were associated with immunotherapy outcome in dMMR/MSI-H mCRC.

Identifiants

pubmed: 38157568
pii: S0959-8049(23)00797-9
doi: 10.1016/j.ejca.2023.113495
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113495

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Amos Stemmer (A)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel. Electronic address: amos.stemmer@sheba.health.gov.il.

Ofer Margalit (O)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel.

Victoria Serpas (V)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Gal Strauss (G)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel.

Jane Thomas (J)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Preksha Shah (P)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Noam Tau (N)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel.

Keren Levanon (K)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel.

Einat Shacham-Shmueli (E)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel.

Scott Kopetz (S)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Michael Overman (M)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Ben Boursi (B)

Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; Tel-Aviv University, Tel-Aviv, Israel; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.

Classifications MeSH