Literature DB >> 31021918

Comparison of RECIST, iRECIST, and PERCIST for the Evaluation of Response to PD-1/PD-L1 Blockade Therapy in Patients With Non-Small Cell Lung Cancer.

Lucian Beer, Maximilian Hochmair1, Alexander R Haug, Bernhard Schwabel, Daria Kifjak, Wolfgang Wadsak, Thorsten Fuereder2, Hannah Fabikan1, Andreas Fazekas1, Sophia Schwab1, Marius E Mayerhoefer, Christian Herold, Helmut Prosch.   

Abstract

PURPOSE: The aim of this study was to compare the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, the immune RECIST (iRECIST) criteria, and the Positron Emission Tomography Response Criteria in Solid Tumors (PERCIST) 1.0 in patients with advanced non-small cell lung cancer treated with programmed cell death protein 1 (PD-1)/programmed cell death protein 1 ligand (PD-L1) inhibitors.
METHODS: This prospective study of 42 patients treated with a PD-1/PD-L1 inhibitor was approved by our institutional review board, and all patients gave written, informed consent. Tumor burden dynamics were assessed on F-FDG PET/CT before and after treatment initiation. Immunotherapeutic responses were evaluated according to RECIST 1.1, iRECIST, and PERCIST 1.0 for the dichotomous groups, responders versus nonresponders. Cohen κ and Wilcoxon signed rank tests were used to evaluate concordance among these criteria. We assessed progression-free survival and overall survival using the Kaplan-Meier estimator.
RESULTS: The RECIST 1.1 and PERCIST 1.0 response classifications were discordant in 6 patients (14.2%; κ = 0.581). RECIST 1.1 and iRECIST were discordant in 2 patients, who evidenced pseudoprogression after treatment initiation. Median progression-free survival, as well as overall survival, was significantly longer for responders compared with nonresponders for all criteria (P < 0.001), with no significant difference between the 3 criteria (P > 0.05).
CONCLUSIONS: RECIST 1.1 and PERCIST 1.0 show only moderate agreement, but both can predict treatment response to PD-1/PD-L1 inhibitor therapy. In case of pseudoprogression, metabolic tumor activity may help to correctly classify treatment response.

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Year:  2019        PMID: 31021918     DOI: 10.1097/RLU.0000000000002603

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  17 in total

1.  Intra- and inter-reader agreement of iRECIST and RECIST 1.1 criteria for the assessment of tumor response in patients receiving checkpoint inhibitor immunotherapy for lung cancer.

Authors:  Sandra Huicochea Castellanos; Andrew Pagano; Andrew J Plodkowski; Jeffrey Girshman; Matthew D Hellmann; Hira Rizvi; Jessica Flynn; Junting Zheng; Marinela Capanu; Darragh F Halpenny; Michelle S Ginsberg
Journal:  Lung Cancer       Date:  2021-09-04       Impact factor: 5.705

2.  A Comprehensive Prognostic Model for Colorectal Cancer Liver Metastasis Recurrence After Neoadjuvant Chemotherapy.

Authors:  Zhenyuan Zhou; Xin Han; Diandian Sun; Zhiying Liang; Wei Wu; Haixing Ju
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

Review 3.  Pathologic response after modern radiotherapy for non-small cell lung cancer.

Authors:  Simon F Roy; Alexander V Louie; Moishe Liberman; Philip Wong; Houda Bahig
Journal:  Transl Lung Cancer Res       Date:  2019-09

4.  Comparing RECIST 1.1 and iRECIST in advanced melanoma patients treated with pembrolizumab in a phase II clinical trial.

Authors:  Firas S Ahmed; Laurent Dercle; Gregory V Goldmacher; Hao Yang; Dana Connors; Ying Tang; Sanja Karovic; Binsheng Zhao; Richard D Carvajal; Caroline Robert; Michael L Maitland; Geoffrey R Oxnard; Lawrence H Schwartz
Journal:  Eur Radiol       Date:  2020-09-30       Impact factor: 7.034

5.  The Future of Cancer Diagnosis, Treatment and Surveillance: A Systemic Review on Immunotherapy and Immuno-PET Radiotracers.

Authors:  Virginia Liberini; Riccardo Laudicella; Martina Capozza; Martin W Huellner; Irene A Burger; Sergio Baldari; Enzo Terreno; Désirée Deandreis
Journal:  Molecules       Date:  2021-04-11       Impact factor: 4.411

6.  A CT-Based Radiomics Approach to Predict Nivolumab Response in Advanced Non-Small-Cell Lung Cancer.

Authors:  Chang Liu; Jing Gong; Hui Yu; Quan Liu; Shengping Wang; Jialei Wang
Journal:  Front Oncol       Date:  2021-02-24       Impact factor: 6.244

7.  ERK Inhibition Improves Anti-PD-L1 Immune Checkpoint Blockade in Preclinical Pancreatic Ductal Adenocarcinoma.

Authors:  Kelly E Henry; Kyeara N Mack; Veronica L Nagle; Mike Cornejo; Adam O Michel; Ian L Fox; Maria Davydova; Thomas R Dilling; Nagavarakishore Pillarsetty; Jason S Lewis
Journal:  Mol Cancer Ther       Date:  2021-08-04       Impact factor: 6.261

8.  Feasibility of Different Tumor Delineation Approaches for 18F-PSMA-1007 PET/CT Imaging in Prostate Cancer Patients.

Authors:  Lena M Mittlmeier; Matthias Brendel; Leonie Beyer; Nathalie L Albert; Andrei Todica; Mathias J Zacherl; Vera Wenter; Annika Herlemann; Alexander Kretschmer; Stephan T Ledderose; Nina-Sophie Schmidt-Hegemann; Wolfgang G Kunz; Jens Ricke; Peter Bartenstein; Harun Ilhan; Marcus Unterrainer
Journal:  Front Oncol       Date:  2021-05-21       Impact factor: 6.244

9.  Defining tumor resistance to PD-1 pathway blockade: recommendations from the first meeting of the SITC Immunotherapy Resistance Taskforce.

Authors:  Harriet M Kluger; Hussein A Tawbi; Maria L Ascierto; Michaela Bowden; Margaret K Callahan; Edward Cha; Helen X Chen; Charles G Drake; David M Feltquate; Robert L Ferris; James L Gulley; Shilpa Gupta; Rachel W Humphrey; Theresa M LaVallee; Dung T Le; Vanessa M Hubbard-Lucey; Vassiliki A Papadimitrakopoulou; Michael A Postow; Eric H Rubin; Elad Sharon; Janis M Taube; Suzanne L Topalian; Roberta Zappasodi; Mario Sznol; Ryan J Sullivan
Journal:  J Immunother Cancer       Date:  2020-03       Impact factor: 13.751

10.  Challenges of evaluating immunotherapy efficacy in solid tumors.

Authors:  Rilan Bai; Wenqian Li; Nawen Du; Jiuwei Cui
Journal:  Chin J Cancer Res       Date:  2019-12       Impact factor: 5.087

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