Background: Approximately 50% of colorectal cancers occur in older patients. In-ternational societies recommend geriatric tools to optimise treatment of older patients. Comprehensive Geriatric Assessment (CGA) is a multidimensional assessment used to classify patients as fit, vulnerable, or frail. The CGA-based oncological multidimensional prognostic index (onco-MPI) also classifies patients as high-, intermediate-, or low-risk based on tumour characteristics. We investigated the role of CGA and onco-MPI in older patients with meta-static colorectal cancer (mCRC) in a real-world setting. Methods: Data for consecutive mCRC patients aged >70 years were retrieved from a prospec-tively maintained database from 2010 to 2020. We analyzed patients' and tumours' character-istics, and the CGA domains. Onco-MPI was calculated by a validated algorithm derived from CGA domains. Pearson's test was used to verify whether onco-MPI scores and chemotherapy administration were correlated. Results: The study included 488 mCRC patients with a mean age of 76.1 years. According to CGA, 52% of patients were fit, 28% vulnerable, and 20% frail. According to onco-MPI, 9% were low, 54% intermediate, and 37% high-risk. The median OS was 22.7 months. The following factors improved OS: 0-1 ECOG PS, low onco-MPI, fit based on CGA, chemo-therapy administration, and doublet regimen. Chemotherapy administration significantly correlated with onco-MPI scores, leading to a survival gain regardless of the risk subgroups. First-line regimen had no impact on survival across the CGA and onco-MPI categories. Conclusion: CGA and onco-MPI scores confirmed their prognostic impact in older mCRC pa-tients and may aid in decision-making and subgroup stratification in dedicated trials. 2022 Published by Elsevier Ltd.

The oncological multidimensional prognostic index is a promising decision-making tool: A real-world analysis in older patients with metastatic colorectal cancer

Procaccio, Letizia;Maddalena, Giulia;Rasola, Cosimo;Rizzato, Mario D;Sergi, Giuseppe;
2022

Abstract

Background: Approximately 50% of colorectal cancers occur in older patients. In-ternational societies recommend geriatric tools to optimise treatment of older patients. Comprehensive Geriatric Assessment (CGA) is a multidimensional assessment used to classify patients as fit, vulnerable, or frail. The CGA-based oncological multidimensional prognostic index (onco-MPI) also classifies patients as high-, intermediate-, or low-risk based on tumour characteristics. We investigated the role of CGA and onco-MPI in older patients with meta-static colorectal cancer (mCRC) in a real-world setting. Methods: Data for consecutive mCRC patients aged >70 years were retrieved from a prospec-tively maintained database from 2010 to 2020. We analyzed patients' and tumours' character-istics, and the CGA domains. Onco-MPI was calculated by a validated algorithm derived from CGA domains. Pearson's test was used to verify whether onco-MPI scores and chemotherapy administration were correlated. Results: The study included 488 mCRC patients with a mean age of 76.1 years. According to CGA, 52% of patients were fit, 28% vulnerable, and 20% frail. According to onco-MPI, 9% were low, 54% intermediate, and 37% high-risk. The median OS was 22.7 months. The following factors improved OS: 0-1 ECOG PS, low onco-MPI, fit based on CGA, chemo-therapy administration, and doublet regimen. Chemotherapy administration significantly correlated with onco-MPI scores, leading to a survival gain regardless of the risk subgroups. First-line regimen had no impact on survival across the CGA and onco-MPI categories. Conclusion: CGA and onco-MPI scores confirmed their prognostic impact in older mCRC pa-tients and may aid in decision-making and subgroup stratification in dedicated trials. 2022 Published by Elsevier Ltd.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3473566
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact