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               <dc:title>Nomogram to predict the outcomes of patients with microsatellite instability-high metastatic colorectal cancer receiving immune checkpoint inhibitors</dc:title>
               <dc:creator>Corti, Francesca</dc:creator>
               <dc:creator>Infante, Gabriele</dc:creator>
               <dc:creator>Elez Fernandez, Mª Elena</dc:creator>
               <dc:creator>Ros Montañá, Fco. Javier</dc:creator>
               <dc:creator>Fakih, Marwan</dc:creator>
               <dc:creator>Pietrantonio, Filippo</dc:creator>
               <dc:creator>Lonardi, Sara</dc:creator>
               <dc:subject>Recte - Càncer - Tractament</dc:subject>
               <dc:subject>Còlon - Càncer - Tractament</dc:subject>
               <dc:subject>Nomografia (Matemàtica)</dc:subject>
               <dc:subject>DISEASES::Neoplasms::Neoplasms by Site::Digestive System Neoplasms::Gastrointestinal Neoplasms::Intestinal Neoplasms::Colorectal Neoplasms</dc:subject>
               <dc:subject>Other subheadings::Other subheadings::Other subheadings::/drug therapy</dc:subject>
               <dc:subject>ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Prognosis::Nomograms</dc:subject>
               <dc:subject>PHENOMENA AND PROCESSES::Genetic Phenomena::Genetic Variation::Mutation::Genomic Instability::Genetic Phenomena::Microsatellite Instability</dc:subject>
               <dc:subject>ENFERMEDADES::neoplasias::neoplasias por localización::neoplasias del sistema digestivo::neoplasias gastrointestinales::neoplasias intestinales::neoplasias colorrectales</dc:subject>
               <dc:subject>Otros calificadores::Otros calificadores::Otros calificadores::/farmacoterapia</dc:subject>
               <dc:subject>TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::pronóstico::nomogramas</dc:subject>
               <dc:subject>FENÓMENOS Y PROCESOS::fenómenos genéticos::variación genética::mutación::inestabilidad genómica::fenómenos genéticos::inestabilidad de microsatélites</dc:subject>
               <dc:description>Neoplasias gastrointestinales; Inmunoterapia</dc:description>
               <dc:description>Neoplàsies gastrointestinals; Immunoteràpia</dc:description>
               <dc:description>Gastrointestinal neoplasms; Immunotherapy</dc:description>
               <dc:description>Background 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.&#xd;
Methods 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).&#xd;
Results 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&lt;0.0001) and validating (PFS HR=1.86, 95% CI 1.07 to 3.23; p=0.0269) sets.&#xd;
Conclusions 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.</dc:description>
               <dc:description>The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.</dc:description>
               <dc:date>2023-11-08T10:21:43Z</dc:date>
               <dc:date>2023-11-08T10:21:43Z</dc:date>
               <dc:date>2022-04-22T13:01:39Z</dc:date>
               <dc:date>2022-04-22T13:01:39Z</dc:date>
               <dc:date>2021-08</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:identifier>http://hdl.handle.net/11351/7373</dc:identifier>
               <dc:relation>Journal for ImmunoTherapy of Cancer;9(8)</dc:relation>
               <dc:relation>http://dx.doi.org/10.1136/jitc-2021-003370</dc:relation>
               <dc:rights>Attribution 4.0 International</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>BMJ</dc:publisher>
               <dc:source>Scientia</dc:source>
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