Advanced-Stage Non-Small Cell Lung Cancer: Advances in Thoracic Oncology 2018.


Journal

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235

Informations de publication

Date de publication:
07 2019
Historique:
received: 15 02 2019
revised: 22 03 2019
accepted: 22 03 2019
pubmed: 20 4 2019
medline: 26 6 2020
entrez: 20 4 2019
Statut: ppublish

Résumé

In 2018 research in the field of advanced NSCLCs led to an expanded reach and impact of immune checkpoint inhibitors (ICIs) as part of a frontline treatment strategy, regardless of histologic subtype, with ICI use extended to include stage III disease, shifting the prognosis of all these patients. This new standard first-line approach opens a gap in standard second-line treatment, and older combinations may again become standard of care after progression during treatment with an ICI. The characterization of predictive biomarkers, patient selection, the definition of strategies with ICI combinations upon progression during treatment with ICIs, as well as prospective evaluation of the efficacy of ICIs in subpopulations (such as patients with poor performance status or brain metastases) represent upcoming challenges in advanced thoracic malignancies. In oncogene-addicted NSCLC three major steps were taken during 2018: next-generation tyrosine kinase inhibitors have overtaken more established agents as the new standard of care in EGFR and ALK receptor tyrosine kinase gene (ALK)-positive tumors. Mechanisms of acquired resistance have been reported among patients treated with next-generation EGFR tyrosine kinase inhibitors, reflecting the diversity of the landscape. One major step forward was the approval of personalized treatment in very uncommon genomic alterations, mainly fusions. This raises a new question about the challenge of implementation of next-generation sequencing in daily clinical practice to detect new and uncommon genomic alterations and to capture the heterogeneity of the mechanisms of acquired resistance during treatment, as well as the need to extend research into new therapeutic strategies to overcome them.

Identifiants

pubmed: 31002952
pii: S1556-0864(19)30280-1
doi: 10.1016/j.jtho.2019.03.022
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Protein Kinase Inhibitors 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1134-1155

Informations de copyright

Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Auteurs

Jordi Remon (J)

Medical Oncology Department, Centro Integral Oncología Clara Campal Barcelona-HM Delfos, Barcelona, Spain. Electronic address: jordi.remon@delfos.cat.

Myung-Ju Ahn (MJ)

Section of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Nicolas Girard (N)

Thorax Institute, Institute Curie, Paris, France.

Melissa Johnson (M)

Sarah Cannon Research Institute, Nashville, Tennessee.

Dong-Wan Kim (DW)

Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.

Gilberto Lopes (G)

Division of Hematology and Medical Oncology, Miller School of Medicine, University of Miami, Sylvester Comprehensive Cancer Center, Miami, Florida; Department of Medicine, Miller School of Medicine, University of Miami, Sylvester Comprehensive Cancer Center, Miami, Florida.

Rathi N Pillai (RN)

Department of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia.

Benjamin Solomon (B)

Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.

Guillermo Villacampa (G)

Oncology Data Science Group, Vall d'Hebron Institute of Oncology, Barcelona, Spain.

Qing Zhou (Q)

Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.

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Classifications MeSH