Literature DB >> 29336998

Developing a Predictive Model for Clinical Outcomes of Advanced Non-Small Cell Lung Cancer Patients Treated With Nivolumab.

Wungki Park1, Deukwoo Kwon2, Diana Saravia3, Amrita Desai3, Fernando Vargas3, Mohamed El Dinali3, Jessica Warsch4, Roy Elias3, Young Kwang Chae5, Dae Won Kim6, Sean Warsch3, Adrian Ishkanian7, Chukwuemeka Ikpeazu3, Raja Mudad3, Gilberto Lopes3, Mohammad Jahanzeb3.   

Abstract

INTRODUCTION: Despite significant improvement of clinical outcomes of advanced non-small-cell lung cancer (NSCLC) patients treated with immunotherapy, our knowledge of optimal biomarkers is still limited. PATIENTS AND METHODS: We retrospectively evaluated 159 advanced NSCLC patients in our institution treated with nivolumab after disease progression during platinum-based chemotherapy. We correlated several variables with progression-free survival (PFS) to develop the immunotherapy, Sex, Eastern Cooperative Oncology Group performance status, Neutrophil-to-lymphocyte ratio (NLR), and Delta NLR (iSEND) model. We categorized patients into iSEND good, intermediate, and poor risk groups and evaluated their clinical outcomes. Performance of iSEND at 3, 6, 9, and 12 months was evaluated according to receiver operating characteristic (ROC) curves and internally validated using bootstrapping. The association of iSEND risk groups with clinical benefit was evaluated using logistic regression.
RESULTS: Median follow-up was 11.5 months (95% confidence interval [CI], 9.4-13.1). There were 50 deaths and 43 with disease progression without death. PFS rates at 3, 6, 9, and 12 months were 78.4%, 63.7%, 55.3%, and 52.2% in iSEND good; 79.4%, 44.3%, 25.9%, and 19.2% in iSEND intermediate; and 65%, 25.9%, 22.8%, and 17.8% in iSEND poor. Time-dependent area under ROC curves of iSEND for PFS at 3, 6, 9, and 12 months were 0.718, 0.74, 0.746, and 0.774. The iSEND poor group was significantly associated with progressive disease at 12 ± 2 weeks (odds ratio, 9.59; 95% CI, 3.8-26.9; P < .0001).
CONCLUSION: The iSEND model is an algorithmic model that can characterize clinical outcomes of advanced NSCLC patients receiving nivolumab into good, intermediate, or poor risk groups and might be useful as a predictive model if validated independently.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Advanced non-small cell lung cancer; Algorithm; Biomarker model; Clinical outcome; Immunotherapy

Mesh:

Substances:

Year:  2017        PMID: 29336998     DOI: 10.1016/j.cllc.2017.12.007

Source DB:  PubMed          Journal:  Clin Lung Cancer        ISSN: 1525-7304            Impact factor:   4.785


  19 in total

Review 1.  Biological Rationale for Peripheral Blood Cell-Derived Inflammatory Indices and Related Prognostic Scores in Patients with Advanced Non-Small-Cell Lung Cancer.

Authors:  Giuseppe Luigi Banna; Alex Friedlaender; Marco Tagliamento; Veronica Mollica; Alessio Cortellini; Sara Elena Rebuzzi; Arsela Prelaj; Abdul Rafeh Naqash; Edouard Auclin; Lucia Garetto; Laura Mezquita; Alfredo Addeo
Journal:  Curr Oncol Rep       Date:  2022-10-18       Impact factor: 5.945

2.  Sarcopenia and high NLR are associated with the development of hyperprogressive disease after second-line pembrolizumab in patients with non-small-cell lung cancer.

Authors:  M P Petrova; I S Donev; M A Radanova; M I Eneva; E G Dimitrova; G N Valchev; V T Minchev; M S Taushanova; M V Boneva; T S Karanikolova; R B Gencheva; G A Zhbantov; A I Ivanova; C V Timcheva; B P Pavlov; V G Megdanova; B S Robev; N V Conev
Journal:  Clin Exp Immunol       Date:  2020-08-26       Impact factor: 4.330

3.  Outcomes associated with immune-related adverse events in metastatic non-small cell lung cancer treated with nivolumab: a pooled exploratory analysis from a global cohort.

Authors:  Abdul Rafeh Naqash; Biagio Ricciuti; Dwight H Owen; Vaia Florou; Yukihiro Toi; Cynthia Cherry; Maida Hafiz; Andrea De Giglio; Mavish Muzaffar; Sandip H Patel; Shunichi Sugawara; Jarred Burkart; Wungki Park; Rita Chiari; Jun Sugisaka; Gregory A Otterson; Gilberto de Lima Lopes; Paul R Walker
Journal:  Cancer Immunol Immunother       Date:  2020-03-05       Impact factor: 6.968

4.  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

5.  Modulation of peripheral blood immune cells by early use of steroids and its association with clinical outcomes in patients with metastatic non-small cell lung cancer treated with immune checkpoint inhibitors.

Authors:  Giovanni Fucà; Giulia Galli; Marta Poggi; Giuseppe Lo Russo; Claudia Proto; Martina Imbimbo; Roberto Ferrara; Nicoletta Zilembo; Monica Ganzinelli; Antonio Sica; Valter Torri; Mario Paolo Colombo; Claudio Vernieri; Andrea Balsari; Filippo de Braud; Marina Chiara Garassino; Diego Signorelli
Journal:  ESMO Open       Date:  2019-02-27

6.  Change in neutrophil to lymphocyte ratio during immunotherapy treatment is a non-linear predictor of patient outcomes in advanced cancers.

Authors:  Mingjia Li; Daniel Spakowicz; Jarred Burkart; Sandip Patel; Marium Husain; Kai He; Erin M Bertino; Peter G Shields; David P Carbone; Claire F Verschraegen; Carolyn J Presley; Gregory A Otterson; Kari Kendra; Dwight H Owen
Journal:  J Cancer Res Clin Oncol       Date:  2019-07-31       Impact factor: 4.553

7.  Association of the neutrophil to lymphocyte ratio and clinical outcomes in patients with lung cancer receiving immunotherapy: a meta-analysis.

Authors:  Jing Jin; Lan Yang; Dan Liu; Weimin Li
Journal:  BMJ Open       Date:  2020-06-03       Impact factor: 2.692

8.  Prognostic value of neutrophil-to-lymphocyte ratio in advanced cancer patients receiving immunotherapy.

Authors:  D Viñal; L Gutierrez-Sainz; D Martinez; J A Garcia-Cuesta; J Pedregosa; J Villamayor; L Ostios; D Sanchez-Cabrero; O Higuera; A Pinto; N Rodriguez-Salas; E Espinosa; J de Castro; J Feliu
Journal:  Clin Transl Oncol       Date:  2020-11-23       Impact factor: 3.405

9.  A reliable and feasible way to predict the benefits of Nivolumab in patients with non-small cell lung cancer: a pooled analysis of 14 retrospective studies.

Authors:  Dedong Cao; Huilin Xu; Ximing Xu; Tao Guo; Wei Ge
Journal:  Oncoimmunology       Date:  2018-08-20       Impact factor: 8.110

10.  The prediction potential of neutrophil-to-lymphocyte ratio for the therapeutic outcomes of programmed death receptor-1/programmed death ligand 1 inhibitors in non-small cell lung cancer patients: A meta-analysis.

Authors:  Ying Huang; Aizong Shen
Journal:  Medicine (Baltimore)       Date:  2020-08-21       Impact factor: 1.817

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