Finding predictive factors for immunotherapy in metastatic renal-cell carcinoma: What are we looking for?
Animals
Antineoplastic Agents, Immunological
/ administration & dosage
Antineoplastic Combined Chemotherapy Protocols
/ administration & dosage
B7-H1 Antigen
/ biosynthesis
Carcinoma, Renal Cell
/ drug therapy
Clinical Trials, Phase III as Topic
Humans
Immune Checkpoint Inhibitors
/ administration & dosage
Kidney Neoplasms
/ drug therapy
Predictive Value of Tests
Randomized Controlled Trials as Topic
Transcriptome
Xenograft Model Antitumor Assays
Biomarkers
Immunotherapy
Metastatic clear-cell renal cell carcinoma
Predictive factors
Journal
Cancer treatment reviews
ISSN: 1532-1967
Titre abrégé: Cancer Treat Rev
Pays: Netherlands
ID NLM: 7502030
Informations de publication
Date de publication:
Mar 2021
Mar 2021
Historique:
received:
09
09
2020
revised:
23
01
2021
accepted:
25
01
2021
pubmed:
20
2
2021
medline:
7
4
2021
entrez:
19
2
2021
Statut:
ppublish
Résumé
A major breakthrough in cancer immunotherapy was the development of monoclonal antibodies targeting inhibitory immune checkpoint proteins. This approach demonstrated significant antitumor activity and efficacy in different cancer types, including metastatic renal cell carcinoma (mRCC). In the majority of patients, this drug is able to restore the patient's tumour-specific T-cell-mediated response thus improving both overall survival and objective response rate. However, a lack of clinical response occurs in a number of patients, raising questions about how to predict and increase the number of patients who receive long-term clinical benefit from immune checkpoint therapy or not. The aim of this review is to summarize available data about immune biomarkers in patients with mRCC treated with immunotherapy.
Identifiants
pubmed: 33607461
pii: S0305-7372(21)00005-0
doi: 10.1016/j.ctrv.2021.102157
pii:
doi:
Substances chimiques
Antineoplastic Agents, Immunological
0
B7-H1 Antigen
0
CD274 protein, human
0
Immune Checkpoint Inhibitors
0
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
102157Informations de copyright
Copyright © 2021 Elsevier Ltd. All rights reserved.