Literature DB >> 28826073

Baseline lymphopenia should not be used as exclusion criteria in early clinical trials investigating immune checkpoint blockers (PD-1/PD-L1 inhibitors).

Roger Sun1, Stéphane Champiat2, Laurent Dercle3, Sandrine Aspeslagh2, Eduardo Castanon2, Elaine Johanna Limkin4, Capucine Baldini2, Sophie Postel-Vinay2, Antoine Hollebecque2, Christophe Massard2, Samy Ammari5, Eric Deutsch6, Jean-Charles Soria7, Aurélien Marabelle2, Charles Ferté8.   

Abstract

INTRODUCTION: A number of phase I immunotherapy trials for cancer patients incorporate the absolute lymphocyte count (ALC) as an inclusion criteria. This study aims to assess whether ALC is associated with a lack of response to anti-PD-1/PD-L1 in early clinical trials.
METHODS: All consecutive patients treated with anti-PD-1/PD-L1 monotherapy in phase I trials in our institution between December 2011 and January 2014 were reviewed. Baseline ALC, neutrophil-to-lymphocyte ratio (NLR), Royal-Marsden Hospital (RMH) prognostic score, objective response rate (ORR) and disease control rate (DCR = SD + PR + CR, stable disease (SD), partial response (PR), complete response (CR)) defined by Response Evaluation Criteria In Solid Tumours (RECIST) version 1.1 were retrieved.
RESULTS: Out of a total of 167 patients, 48 (28.7%) and 8 patients (4.8%) had baseline ALCs of <1 G/l and <0.5 G/l, respectively. The RECIST change (%) was not correlated with ALC (G/l) (Spearman's rho = -0.06, P = 0.43). We did not observe any difference in terms of ORR (8.3% versus 15.1%, P = 0.32) or of DCR (58.3% versus 61.3%, P = 0.73) between patients with ALC <1 G/l versus >1 G/l. When using 0.5 G/l as ALC threshold, we did not find any difference either in ORR or in DCR. In a multivariate Cox regression analysis, baseline ALC was not associated with overall survival, whereas the RMH and the number of previous lines of treatment remained independent prognostic factors.
CONCLUSIONS: Baseline ALC was not associated with response to anti-PD-1/PD-L1 in cancer patients enrolled in phase I trials. Patients should not be excluded from early phase clinical trials testing immune checkpoints blockers because of ALC.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Eligibility criteria; Immunotherapy; Lymphopenia; Phase 1 trial

Mesh:

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Year:  2017        PMID: 28826073     DOI: 10.1016/j.ejca.2017.07.033

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  9 in total

1.  Anti-PD-L1/TGF-βR fusion protein (SHR-1701) overcomes disrupted lymphocyte recovery-induced resistance to PD-1/PD-L1 inhibitors in lung cancer.

Authors:  Bo Cheng; Kaikai Ding; Pengxiang Chen; Jianxiong Ji; Tao Luo; Xiaofan Guo; Wei Qiu; Chunhong Ma; Xue Meng; Jian Wang; Jinming Yu; Yuan Liu
Journal:  Cancer Commun (Lond)       Date:  2022-01-03

2.  Optimizing eligibility criteria and clinical trial conduct to enhance clinical trial participation for primary brain tumor patients.

Authors:  Eudocia Q Lee; Michael Weller; Joohee Sul; Stephen J Bagley; Solmaz Sahebjam; Martin van den Bent; Manmeet Ahluwalia; Jian L Campian; Evanthia Galanis; Mark R Gilbert; Matthias Holdhoff; Glenn J Lesser; Frank S Lieberman; Minesh P Mehta; Marta Penas-Prado; Karisa C Schreck; Roy E Strowd; Michael A Vogelbaum; Tobias Walbert; Susan M Chang; L Burt Nabors; Stuart Grossman; David A Reardon; Patrick Y Wen
Journal:  Neuro Oncol       Date:  2020-05-15       Impact factor: 12.300

3.  Predicting outcomes in patients with advanced non-small cell lung cancer enrolled in early phase immunotherapy trials.

Authors:  Hossein Maymani; Kenneth Hess; Roman Groisberg; David S Hong; Aung Naing; Sarina Piha-Paul; Filip Janku; Siqing Fu; Apostolia M Tsimberidou; Shubham Pant; Daniel Karp; Shuang Liu; Ming Sun; John Heymach; George Simon; Funda Meric-Bernstam; Vivek Subbiah
Journal:  Lung Cancer       Date:  2018-04-11       Impact factor: 5.705

Review 4.  Combination Strategies for Immune-Checkpoint Blockade and Response Prediction by Artificial Intelligence.

Authors:  Florian Huemer; Michael Leisch; Roland Geisberger; Thomas Melchardt; Gabriel Rinnerthaler; Nadja Zaborsky; Richard Greil
Journal:  Int J Mol Sci       Date:  2020-04-19       Impact factor: 5.923

5.  Pretreatment hematological markers predict clinical outcome in cancer patients receiving immune checkpoint inhibitors: A meta-analysis.

Authors:  Qiaoyun Tan; Shuxia Liu; Caixia Liang; Xiaohong Han; Yuankai Shi
Journal:  Thorac Cancer       Date:  2018-08-27       Impact factor: 3.500

Review 6.  Current landscape and future directions of biomarkers for predicting responses to immune checkpoint inhibitors.

Authors:  Yingming Zhu; Fen Zhao; Zhenxiang Li; Jinming Yu
Journal:  Cancer Manag Res       Date:  2018-08-07       Impact factor: 3.989

7.  Dynamic changes of lymphocyte counts in adult patients with severe pandemic H1N1 influenza A.

Authors:  Yandong Cheng; Hong Zhao; Peixin Song; Zhaoping Zhang; Junhao Chen; Yi-Hua Zhou
Journal:  J Infect Public Health       Date:  2019-06-13       Impact factor: 3.718

Review 8.  Lymphopenia in Esophageal Cancer: What Have We Learned?

Authors:  Jia-Lin Wang; Rong Ma; Wei Kong; Ren Zhao; Yan-Yang Wang
Journal:  Front Oncol       Date:  2021-03-11       Impact factor: 6.244

9.  Baseline Lymphopenia: A Predictor Of Poor Outcomes In HER2 positive Metastatic Breast Cancer Treated With Trastuzumab.

Authors:  Yi-Qun Che; Yue Zhang; Di Wang; Hui-Ying Liu; Di Shen; Yang Luo
Journal:  Drug Des Devel Ther       Date:  2019-10-29       Impact factor: 4.162

  9 in total

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