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5/24/2017 12:47:19 AM | Browse: 286 | Download: 631
Publication Name World Journal of Clinical Oncology
Manuscript ID 33517
Country Italy
Category Oncology
Manuscript Type Minireviews
Article Title Use of programmed cell death protein ligand 1 assay to predict the outcomes of non-small cell lung cancer patients treated with immune checkpoint inhibitors
Manuscript Source Invited Manuscript
All Author List Carmelo Tibaldi, Alice Lunghi and Editta Baldini
Funding Agency and Grant Number
Corresponding Author Dr. Carmelo Tibaldi, Division of Oncology, Department of Oncology, S. Luca Hospital, Via Guglielmo Lippi Francesconi 1, 55100 Lucca, Italy. carmelo.tibaldi@uslnordovest.toscana.it
Key Words Predictive biomarkers; Immunotherapy; Checkpoint inhibitors; Programmed cell death protein ligand 1; Non-small cell lung cancer
Core Tip Use of programmed cell death protein ligand 1 (PD-L1) assay to predict the outcomes of non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors. This minireview underlines promises and pitfalls of the PD-L1 expression to predict the activity and efficacy of programmed cell death protein 1/PD-L1 inhibitors in NSCLC.
Citation Tibaldi C, Lunghi A, Baldini E. Use of programmed cell death protein ligand 1 assay to predict the outcomes of non-small cell lung cancer patients treated with immune checkpoint inhibitors. World J Clin Oncol 2017; 8(4): 320-328
Received
2017-02-14 08:56
Peer-Review Started
2017-02-14 17:43
To Make the First Decision
2017-04-14 10:31
Return for Revision
2017-04-19 15:11
Revised
2017-05-13 03:49
Second Decision
2017-05-16 02:11
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2017-05-24 00:47
Articles in Press
2017-05-24 00:47
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2017-08-03 03:48
ISSN 2218-4333 (online)
Open Access This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved.
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