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Nomogram to predict the outcomes of patients with microsatellite instability-high metastatic colorectal cancer receiving immune checkpoint inhibitors.

Authors
  • Pietrantonio, Filippo1
  • Lonardi, Sara2
  • Corti, Francesca3
  • Infante, Gabriele4
  • Elez, Maria Elena5
  • Fakih, Marwan6
  • Jayachandran, Priya7
  • Shah, Aakash Tushar8
  • Salati, Massimiliano9
  • Fenocchio, Elisabetta10
  • Salvatore, Lisa11
  • Curigliano, Giuseppe12
  • Cremolini, Chiara13
  • Ambrosini, Margherita3
  • Ros, Javier5
  • Intini, Rossana14
  • Nappo, Floriana15
  • Damian, Silvia3
  • Morano, Federica3
  • Fucà, Giovanni3
  • And 2 more
  • 1 Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy [email protected] , (Italy)
  • 2 Medical Oncology 3, Istituto Oncologico Veneto IOV-IRCSS, Padua, Italy. , (Italy)
  • 3 Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. , (Italy)
  • 4 Unit of Clinical Epidemiology and Trial Organization, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. , (Italy)
  • 5 Department of Medical Oncology, Vall d'Hebron Barcelona Hospital Campus, Vall d'Hebron Institute of Oncology (VHIO), Universitat Autonoma de Barcelona, Barcelona, Spain. , (Spain)
  • 6 Department of Medical Oncology, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • 7 Division of Medical Oncology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
  • 8 Baylor College of Medicine, Houston, Texas, USA.
  • 9 Division of Oncology, Department of Oncology and Hematology, University Hospital of Modena, PhD Clinical and Experimental Medicine (CEM), University of Modena and Reggio Emilia, Modena, Italy. , (Italy)
  • 10 Multidisciplinary Outpatient Oncology Clinic, Candiolo Cancer Institute FPO-IRCCS, Candiolo, Italy. , (Italy)
  • 11 Department of Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. , (Italy)
  • 12 European Institute of Oncology (IEO), IRCCS, Milan, Italy; Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy. , (Italy)
  • 13 Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy. , (Italy)
  • 14 Medical Oncology 1, Istituto Oncologico Veneto IOV-IRCCS, Padua, Italy. , (Italy)
  • 15 Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy. , (Italy)
  • 16 Department of Gastrointestinal Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Type
Published Article
Journal
Journal for ImmunoTherapy of Cancer
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Aug 01, 2021
Volume
9
Issue
8
Identifiers
DOI: 10.1136/jitc-2021-003370
PMID: 34429334
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

The efficacy of immune checkpoint inhibitors (ICIs) in patients with microsatellite instability (MSI)-high metastatic colorectal cancer (mCRC) is unprecedented. A relevant proportion of subjects achieving durable disease control may be considered potentially 'cured', as opposed to patients experiencing primary ICI refractoriness or short-term clinical benefit. We developed and externally validated a nomogram to estimate the progression-free survival (PFS) and the time-independent event-free probability (EFP) in patients with MSI-high mCRC receiving ICIs. The PFS and EFP were estimated using a cure model fitted on a developing set of 163 patients and validated on a set of 146 patients with MSI-high mCRC receiving anti-programmed death (ligand)1 (PD-(L)1) ± anticytotoxic T-lymphocyte antigen 4 (CTLA-4) agents. A total of 23 putative prognostic factors were chosen and then selected using a random survival forest (RSF). The model performance in estimating PFS probability was evaluated by assessing calibration (internally-developing set and externally-validating set) and quantifying the discriminative ability (Harrell C index). RFS selected five variables: ICI type (anti-PD-(L)1 monotherapy vs anti-CTLA-4 combo), ECOG PS (0 vs >0), neutrophil-to-lymphocyte ratio (≤3 vs >3), platelet count, and prior treatment lines. As both in the developing and validation series most PFS events occurred within 12 months, this was chosen as cut-point for PFS prediction. The combination of the selected variables allowed estimation of the 12-month PFS (focused on patients with low chance of being cured) and the EFP (focused on patients likely to be event-free at a certain point of their follow-up). ICI type was significantly associated with disease control, as patients receiving the anti-CTLA-4-combination experienced the best outcomes. The calibration of PFS predictions was good both in the developing and validating sets. The median value of the EFP (46%) allowed segregation of two prognostic groups in both the developing (PFS HR=3.73, 95% CI 2.25 to 6.18; p<0.0001) and validating (PFS HR=1.86, 95% CI 1.07 to 3.23; p=0.0269) sets. A nomogram based on five easily assessable variables including ICI treatment was built to estimate the outcomes of patients with MSI-high mCRC, with the potential to assist clinicians in their clinical practice. The web-based system 'MSI mCRC Cure' was released. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

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