NSCLC Biomarkers to Predict Response to Immunotherapy with Checkpoint Inhibitors (ICI): From the Cells to In Vivo Images.
PD-1
PD-L1
PET/CT
immune PET
immune checkpoint inhibitors
immunotherapy
non-small cell lung carcinoma
radiomics
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
10 Sep 2021
10 Sep 2021
Historique:
received:
16
08
2021
revised:
06
09
2021
accepted:
08
09
2021
entrez:
28
9
2021
pubmed:
29
9
2021
medline:
29
9
2021
Statut:
epublish
Résumé
Lung cancer remains the leading cause of cancer-related death, and it is usually diagnosed in advanced stages (stage III or IV). Recently, the availability of targeted strategies and of immunotherapy with checkpoint inhibitors (ICI) has favorably changed patient prognosis. Treatment outcome is closely related to tumor biology and interaction with the tumor immune microenvironment (TME). While the response in molecular targeted therapies relies on the presence of specific genetic alterations in tumor cells, accurate ICI biomarkers of response are lacking, and clinical outcome likely depends on multiple factors that are both host and tumor-related. This paper is an overview of the ongoing research on predictive factors both from in vitro/ex vivo analysis (ranging from conventional pathology to molecular biology) and in vivo analysis, where molecular imaging is showing an exponential growth and use due to technological advancements and to the new bioinformatics approaches applied to image analyses that allow the recovery of specific features in specific tumor subclones.
Identifiants
pubmed: 34572771
pii: cancers13184543
doi: 10.3390/cancers13184543
pmc: PMC8464855
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
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