Cargando…
Advanced non-small-cell lung cancer: how to manage non-oncogene disease
The therapeutic approach to patients affected by advanced non-small-cell lung cancer (NSCLC) is facing rapid and continuous evolution. In recent years, the emergence of new treatment strategies, such as immunotherapy and tyrosine kinase inhibitors, has revolutionized the treatment algorithm and the...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioExcel Publishing Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281971/ https://www.ncbi.nlm.nih.gov/pubmed/35912001 http://dx.doi.org/10.7573/dic.2022-2-4 |
_version_ | 1784747002331922432 |
---|---|
author | De Giglio, Andrea Di Federico, Alessandro Deiana, Chiara Ricciuti, Biagio Brambilla, Marta Metro, Giulio |
author_facet | De Giglio, Andrea Di Federico, Alessandro Deiana, Chiara Ricciuti, Biagio Brambilla, Marta Metro, Giulio |
author_sort | De Giglio, Andrea |
collection | PubMed |
description | The therapeutic approach to patients affected by advanced non-small-cell lung cancer (NSCLC) is facing rapid and continuous evolution. In recent years, the emergence of new treatment strategies, such as immunotherapy and tyrosine kinase inhibitors, has revolutionized the treatment algorithm and the prognosis of patients with NSCLC. In the non-oncogene-addicted disease, immune-checkpoint inhibitors, either as single agents or combined with chemotherapy, outperformed standard chemotherapy in both untreated and previously treated patients. However, many patients still do not derive the expected benefit from current treatments. Despite representing the only biomarker currently used in clinical practice to guide treatment selection, PD-L1 expression has been proven an imperfect predictor of immunotherapy outcomes. The evaluation of clinical factors remains essential to detect patients that would benefit the most from a particular treatment approach, but the identification of additional biological and molecular predictive tools is a priority. Herein, we provide a comprehensive though concise review of the current treatment approaches to advanced NSCLC in patients without molecular driver alterations, with an additional focus on special populations, concomitant medications, and other considerations that might be useful for daily clinical practice. |
format | Online Article Text |
id | pubmed-9281971 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioExcel Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-92819712022-07-29 Advanced non-small-cell lung cancer: how to manage non-oncogene disease De Giglio, Andrea Di Federico, Alessandro Deiana, Chiara Ricciuti, Biagio Brambilla, Marta Metro, Giulio Drugs Context Review The therapeutic approach to patients affected by advanced non-small-cell lung cancer (NSCLC) is facing rapid and continuous evolution. In recent years, the emergence of new treatment strategies, such as immunotherapy and tyrosine kinase inhibitors, has revolutionized the treatment algorithm and the prognosis of patients with NSCLC. In the non-oncogene-addicted disease, immune-checkpoint inhibitors, either as single agents or combined with chemotherapy, outperformed standard chemotherapy in both untreated and previously treated patients. However, many patients still do not derive the expected benefit from current treatments. Despite representing the only biomarker currently used in clinical practice to guide treatment selection, PD-L1 expression has been proven an imperfect predictor of immunotherapy outcomes. The evaluation of clinical factors remains essential to detect patients that would benefit the most from a particular treatment approach, but the identification of additional biological and molecular predictive tools is a priority. Herein, we provide a comprehensive though concise review of the current treatment approaches to advanced NSCLC in patients without molecular driver alterations, with an additional focus on special populations, concomitant medications, and other considerations that might be useful for daily clinical practice. BioExcel Publishing Ltd 2022-07-08 /pmc/articles/PMC9281971/ /pubmed/35912001 http://dx.doi.org/10.7573/dic.2022-2-4 Text en Copyright © 2022 De Giglio A, Di Federico A, Deiana C, Ricciuti B, Brambilla M, Metro G https://creativecommons.org/licenses/by-nc-nd/4.0/Published by Drugs in Context under Creative Commons License Deed CC BY NC ND 4.0, which allows anyone to copy, distribute, and transmit the article provided it is properly attributed in the manner specified below. No commercial use without permission. |
spellingShingle | Review De Giglio, Andrea Di Federico, Alessandro Deiana, Chiara Ricciuti, Biagio Brambilla, Marta Metro, Giulio Advanced non-small-cell lung cancer: how to manage non-oncogene disease |
title | Advanced non-small-cell lung cancer: how to manage non-oncogene disease |
title_full | Advanced non-small-cell lung cancer: how to manage non-oncogene disease |
title_fullStr | Advanced non-small-cell lung cancer: how to manage non-oncogene disease |
title_full_unstemmed | Advanced non-small-cell lung cancer: how to manage non-oncogene disease |
title_short | Advanced non-small-cell lung cancer: how to manage non-oncogene disease |
title_sort | advanced non-small-cell lung cancer: how to manage non-oncogene disease |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9281971/ https://www.ncbi.nlm.nih.gov/pubmed/35912001 http://dx.doi.org/10.7573/dic.2022-2-4 |
work_keys_str_mv | AT degiglioandrea advancednonsmallcelllungcancerhowtomanagenononcogenedisease AT difedericoalessandro advancednonsmallcelllungcancerhowtomanagenononcogenedisease AT deianachiara advancednonsmallcelllungcancerhowtomanagenononcogenedisease AT ricciutibiagio advancednonsmallcelllungcancerhowtomanagenononcogenedisease AT brambillamarta advancednonsmallcelllungcancerhowtomanagenononcogenedisease AT metrogiulio advancednonsmallcelllungcancerhowtomanagenononcogenedisease |