Monitoring tumor growth rate to predict immune checkpoint inhibitors' treatment outcome in advanced NSCLC.
checkpoint inhibitor
drug resistance
immunotherapy
lung cancer
non-small cell lung cancer (NSCLC)
Journal
Therapeutic advances in medical oncology
ISSN: 1758-8340
Titre abrégé: Ther Adv Med Oncol
Pays: England
ID NLM: 101510808
Informations de publication
Date de publication:
2022
2022
Historique:
received:
19
07
2021
accepted:
20
10
2021
entrez:
17
2
2022
pubmed:
18
2
2022
medline:
18
2
2022
Statut:
epublish
Résumé
Radiological response assessment to immune checkpoint inhibitor is challenging due to atypical pattern of response and commonly used RECIST 1.1 criteria do not take into account the kinetics of tumor behavior. Our study aimed at evaluating the tumor growth rate (TGR) in addition to RECIST 1.1 criteria to assess the benefit of immune checkpoint inhibitors (ICIs). Tumor real volume was calculated with a dedicated computed tomography (CT) software that semi-automatically assess tumor volume. Target lesions were identified according to RECIST 1.1. For each patient, we had 3 measurement of tumor volume. CT-1 was performed 8-12 weeks before ICI start, the CT at baseline for ICI was CT0, while CT + 1 was the first assessment after ICI. We calculated the percentage increase in tumor volume before (TGR1) and after immunotherapy (TGR2). Finally, we compared TGR1 and TGR2. If no progressive disease (PD), the group was disease control (DC). If PD but TGR2 < TGR1, it was called LvPD and if TGR2 ⩾ TGR1, HvPD. A total of 61 patients who received ICIs and 33 treated with chemotherapy (ChT) were included. In ICI group, 18 patients were HvPD, 22 LvPD, 21 DC. Median OS was 4.4 months (95% CI: 2.0-6.8, reference) for HvPD, 7.1 months (95% CI 5.4-8.8) for LvPD, In the presence of PD, a decrease in TGR may result in a clinical benefit in patients treated with ICI but not with chemotherapy. Monitoring TGR changes after ICIs administration can help physician in deciding to treat beyond PD.
Identifiants
pubmed: 35173818
doi: 10.1177/17588359211058391
pii: 10.1177_17588359211058391
pmc: PMC8842375
doi:
Types de publication
Journal Article
Langues
eng
Pagination
17588359211058391Informations de copyright
© The Author(s), 2022.
Déclaration de conflit d'intérêts
Conflict of interest statement: The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Caroline Caramella: has acted as a consultant of AstraZeneca, BMS, MSD, and Roche Benjamin Besse: has conducted research funded by Abbvie, Amgen, AstraZeneca, Biogen, Blueprint Medicines, BMS, Celgene, Eli Lilly, GSK, Ignyta, Ipsen, Merck, MSD, Nektar, Onxeo, Pfizer, Pharma Mar, Sanofi, Spectrum Pharmaceuticals, Takeda and Tiziana Pharm 4D Pharma, Abbvie, Amgen, Aptitude Health, AstraZeneca, BeiGene, Blueprint Medicines, BMS, Boehringer Ingelheim, Celgene, Cergentis, Cristal Therapeutics, Daiichi-Sankyo, Eli Lilly, GSK, Inivata, Janssen, Onxeo, OSE immunotherapeutics, Pfizer, Roche-Genentech, Sanofi, Takeda, Tolero Pharmaceuticals. Andrea Ardizzoni: Grants from BMS and Celgene; Personal Fees from BMS, MSD, Eli Lilly, Boehringer, Pfizer and Celgene. The other authors declare no potential conflicts of interest.
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