Real world data in the era of Immune Checkpoint Inhibitors (ICIs): Increasing evidence and future applications in lung cancer.


Journal

Cancer treatment reviews
ISSN: 1532-1967
Titre abrégé: Cancer Treat Rev
Pays: Netherlands
ID NLM: 7502030

Informations de publication

Date de publication:
Jul 2020
Historique:
received: 30 03 2020
revised: 07 05 2020
accepted: 13 05 2020
pubmed: 24 5 2020
medline: 25 6 2020
entrez: 24 5 2020
Statut: ppublish

Résumé

Immune checkpoint inhibitors (ICIs) targeting programmed death 1 (PD-1) and PD-ligand 1 (PD-L1) quickly subverted the standard of treatment in Non-Small Cell Lung Cancer (NSCLC), where they were first introduced in all comers previously treated advanced/metastatic NSCLC patients and subsequently in the first line of PD-L1 selected cases of metastatic and locally advanced disease. Treatment algorithm is an evolving landscape, where the introduction of front-line ICIs, with or without chemotherapy, unavoidably influences the following treatment lines. In this context, medical oncologists are currently facing many unclear issues, which have been not clarified so far by available data. Effectiveness and safety in special populations underrepresented in clinical trials - such as elderly, poor PS, hepatitis or human immunodeficiency virus-affected patients - are only a part of the unexplored side of ICIs in the real world. Indeed, pivotal randomized clinical trials (RCTs) often lack of external validity because eligibility criteria exclude some patient subgroups commonly treated in real-world clinical practice. Similarly, cost-effectiveness and sustainability of these innovative agents are important issues to be considered in the real-world. Though affected by several limitations, real-world evidence (RWE) studies allow to collect data regarding overall treated patients in clinical practice according to local authority regulations, overcoming the intrinsic limits of RCTs. The present review focuses on RWE about ICIs in lung cancer treatment, with particular reference to special patient populations, and discusses potential application of real-world data in a potential innovative drug development model.

Identifiants

pubmed: 32446182
pii: S0305-7372(20)30069-4
doi: 10.1016/j.ctrv.2020.102031
pii:
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
Antineoplastic Agents, Immunological 0
B7-H1 Antigen 0
CD274 protein, human 0
PDCD1 protein, human 0
Programmed Cell Death 1 Receptor 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102031

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Giulia Pasello (G)

Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy. Electronic address: giulia.pasello@iov.veneto.it.

Alberto Pavan (A)

Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy.

Ilaria Attili (I)

Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.

Alberto Bortolami (A)

Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy.

Laura Bonanno (L)

Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy.

Jessica Menis (J)

Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.

PierFranco Conte (P)

Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.

Valentina Guarneri (V)

Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy; Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH