Cargando…

Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study

Introduction: Immune checkpoint inhibitors (ICIs) have become the standard of treatment for patients with non-small cell lung cancer (NSCLC). However, there are still many uncertainties regarding the selection of the patient who could benefit more from this treatment. This study aims to evaluate the...

Descripción completa

Detalles Bibliográficos
Autores principales: Quaquarini, Erica, Sottotetti, Federico, Agustoni, Francesco, Pozzi, Emma, Malovini, Alberto, Teragni, Cristina Maria, Palumbo, Raffaella, Saltalamacchia, Giuseppe, Tagliaferri, Barbara, Balletti, Emanuela, Rinaldi, Pietro, Canino, Costanza, Pedrazzoli, Paolo, Bernardo, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144987/
https://www.ncbi.nlm.nih.gov/pubmed/35629102
http://dx.doi.org/10.3390/jpm12050679
_version_ 1784716182224371712
author Quaquarini, Erica
Sottotetti, Federico
Agustoni, Francesco
Pozzi, Emma
Malovini, Alberto
Teragni, Cristina Maria
Palumbo, Raffaella
Saltalamacchia, Giuseppe
Tagliaferri, Barbara
Balletti, Emanuela
Rinaldi, Pietro
Canino, Costanza
Pedrazzoli, Paolo
Bernardo, Antonio
author_facet Quaquarini, Erica
Sottotetti, Federico
Agustoni, Francesco
Pozzi, Emma
Malovini, Alberto
Teragni, Cristina Maria
Palumbo, Raffaella
Saltalamacchia, Giuseppe
Tagliaferri, Barbara
Balletti, Emanuela
Rinaldi, Pietro
Canino, Costanza
Pedrazzoli, Paolo
Bernardo, Antonio
author_sort Quaquarini, Erica
collection PubMed
description Introduction: Immune checkpoint inhibitors (ICIs) have become the standard of treatment for patients with non-small cell lung cancer (NSCLC). However, there are still many uncertainties regarding the selection of the patient who could benefit more from this treatment. This study aims to evaluate the prognostic and predictive role of clinical and biological variables in unselected patients with advanced NSCLC candidates to receive ICIs. Methods: This is an observational and prospective study. The primary objective is the evaluation of the relationship between clinical and biological variables and the response to ICIs. Secondary objectives included: safety; assessment of the relationship between clinical and biological parameters/concomitant treatments and progression-free survival at 6 months and overall survival at 6 and 12 months. Nomograms to predict these outcomes have been generated. Results: A total of 166 patients were included. An association with response was found in the presence of the high immunohistochemical PD-L1 expression, squamous cell histotype, and early line of treatment, whereas a higher probability of progression was seen in the presence of anemia, high LDH values and neutrophil/lymphocyte ratio (NLR), pleural involvement, and thrombosis before treatment. The nomogram showed that anemia, PD-L1 expression, NLR, and LDH represented the most informative predictor as regards the three parameters of interest. Conclusions: In the era of personalized medicine, the results are useful for stratifying the patients and tailoring the treatments, considering both the histological findings and the clinical features of the patients.
format Online
Article
Text
id pubmed-9144987
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91449872022-05-29 Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study Quaquarini, Erica Sottotetti, Federico Agustoni, Francesco Pozzi, Emma Malovini, Alberto Teragni, Cristina Maria Palumbo, Raffaella Saltalamacchia, Giuseppe Tagliaferri, Barbara Balletti, Emanuela Rinaldi, Pietro Canino, Costanza Pedrazzoli, Paolo Bernardo, Antonio J Pers Med Article Introduction: Immune checkpoint inhibitors (ICIs) have become the standard of treatment for patients with non-small cell lung cancer (NSCLC). However, there are still many uncertainties regarding the selection of the patient who could benefit more from this treatment. This study aims to evaluate the prognostic and predictive role of clinical and biological variables in unselected patients with advanced NSCLC candidates to receive ICIs. Methods: This is an observational and prospective study. The primary objective is the evaluation of the relationship between clinical and biological variables and the response to ICIs. Secondary objectives included: safety; assessment of the relationship between clinical and biological parameters/concomitant treatments and progression-free survival at 6 months and overall survival at 6 and 12 months. Nomograms to predict these outcomes have been generated. Results: A total of 166 patients were included. An association with response was found in the presence of the high immunohistochemical PD-L1 expression, squamous cell histotype, and early line of treatment, whereas a higher probability of progression was seen in the presence of anemia, high LDH values and neutrophil/lymphocyte ratio (NLR), pleural involvement, and thrombosis before treatment. The nomogram showed that anemia, PD-L1 expression, NLR, and LDH represented the most informative predictor as regards the three parameters of interest. Conclusions: In the era of personalized medicine, the results are useful for stratifying the patients and tailoring the treatments, considering both the histological findings and the clinical features of the patients. MDPI 2022-04-24 /pmc/articles/PMC9144987/ /pubmed/35629102 http://dx.doi.org/10.3390/jpm12050679 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Quaquarini, Erica
Sottotetti, Federico
Agustoni, Francesco
Pozzi, Emma
Malovini, Alberto
Teragni, Cristina Maria
Palumbo, Raffaella
Saltalamacchia, Giuseppe
Tagliaferri, Barbara
Balletti, Emanuela
Rinaldi, Pietro
Canino, Costanza
Pedrazzoli, Paolo
Bernardo, Antonio
Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study
title Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study
title_full Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study
title_fullStr Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study
title_full_unstemmed Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study
title_short Clinical and Biological Variables Influencing Outcome in Patients with Advanced Non-Small Cell Lung Cancer (NSCLC) Treated with Anti-PD-1/PD-L1 Antibodies: A Prospective Multicentre Study
title_sort clinical and biological variables influencing outcome in patients with advanced non-small cell lung cancer (nsclc) treated with anti-pd-1/pd-l1 antibodies: a prospective multicentre study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144987/
https://www.ncbi.nlm.nih.gov/pubmed/35629102
http://dx.doi.org/10.3390/jpm12050679
work_keys_str_mv AT quaquarinierica clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT sottotettifederico clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT agustonifrancesco clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT pozziemma clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT malovinialberto clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT teragnicristinamaria clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT palumboraffaella clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT saltalamacchiagiuseppe clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT tagliaferribarbara clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT ballettiemanuela clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT rinaldipietro clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT caninocostanza clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT pedrazzolipaolo clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy
AT bernardoantonio clinicalandbiologicalvariablesinfluencingoutcomeinpatientswithadvancednonsmallcelllungcancernsclctreatedwithantipd1pdl1antibodiesaprospectivemulticentrestudy