Literature DB >> 31757877

Capturing Hyperprogressive Disease with Immune-Checkpoint Inhibitors Using RECIST 1.1 Criteria.

Ignacio Matos1,2, Juan Martin-Liberal3, Alonso García-Ruiz4, Cinta Hierro3, Maria Ochoa de Olza3, Cristina Viaplana5, Analia Azaro3, Maria Vieito3, Irene Braña3, Gemma Mur6, Javier Ros3, Jose Mateos7, Guillermo Villacampa5, Roger Berché5, Mafalda Oliveira3, Maria Alsina3, Elena Elez3, Ana Oaknin3, Eva Muñoz-Couselo3, Joan Carles3, Enriqueta Felip3,2, Jordi Rodón3, Josep Tabernero3,2, Rodrigo Dienstmann5, Raquel Perez-Lopez4, Elena Garralda1.   

Abstract

PURPOSE: Most hyperprogression disease (HPD) definitions are based on tumor growth rate (TGR). However, there is still no consensus on how to evaluate this phenomenon. PATIENTS AND METHODS: We investigated two independent cohorts of patients with advanced solid tumors treated in phase I trials with (i) programmed cell death 1 (PD-1)/PD-L1 antibodies in monotherapy or combination and (ii) targeted agents (TA) in unapproved indications. A Response Evaluation Criteria in Solid Tumors (RECIST) 1.1-based definition of hyperprogression was developed. The primary endpoint was the assessment of the rate of HPD in patients treated with ICIs or TAs using both criteria (RECIST and TGR) and the impact on overall survival (OS) in patients who achieved PD as best response.
RESULTS: Among 270 evaluable patients treated with PD-1/PD-L1 inhibitors, 29 PD-1/PD-L1-treated patients (10.7%) had HPD by RECIST definition. This group had a significantly lower OS (median of 5.23 months; 95% CI, 3.97-6.45) when compared with the non-HPD progressor group (median, 7.33 months; 95% CI, 4.53-10.12; HR = 1.73, 95% CI, 1.05-2.85; P = 0.04). In a subset of 221 evaluable patients, 14 (6.3%) were categorized as HPD using TGR criteria, differences in median OS (mOS) between this group (mOS 4.2 months; 95% IC, 2.07-6.33) and non-HPD progressors (n = 44) by TGR criteria (mOS 6.27 months; 95% CI, 3.88-8.67) were not statistically significant (HR 1.4, 95% IC, 0.70-2.77; P = 0.346). Among 239 evaluable patients treated with TAs, 26 (10.9%) were classified as having HPD by RECIST and 14 using TGR criteria in a subset of patients. No differences in OS were observed between HPD and non-HPD progressors treated with TAs.
CONCLUSIONS: HPD measured by TGR or by RECIST was observed in both cohorts of patients; however, in our series, there was an impact on survival only in the immune-checkpoint inhibitor cohort when evaluated by RECIST. We propose a new way to capture HPD using RECIST criteria that is intuitive and easy to use in daily clinical practice. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31757877     DOI: 10.1158/1078-0432.CCR-19-2226

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  25 in total

Review 1.  iRECIST and atypical patterns of response to immuno-oncology drugs.

Authors:  Jorge Luis Ramon-Patino; Sabine Schmid; Sally Lau; Lesley Seymour; Pierre-Olivier Gaudreau; Janice Juan Ning Li; Penelope Ann Bradbury; Emiliano Calvo
Journal:  J Immunother Cancer       Date:  2022-06       Impact factor: 12.469

2.  [Advances in Hyperprogressive Disease in Patients 
with Advanced Non-small Cell Lung Cancer Treated with Immunotherapy].

Authors:  Shuyang Yao; Kejian Shi; Yi Zhang
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2021-04-20

3.  Pretreatment metastatic growth rate determines clinical outcome of advanced melanoma patients treated with anti-PD-1 antibodies: a multicenter cohort study.

Authors:  Nikolaus B Wagner; Max M Lenders; Kathrin Kühl; Lydia Reinhardt; Fiona André; Milena Dudda; Natalie Ring; Chiara Ebel; Ramon Stäger; Caroline Zellweger; Roland Lang; Michael Paar; Philipp Gussek; Georg Richtig; Suzan H Stürmer; Susanne Kimeswenger; Angela Oellinger; Andrea Forschner; Ulrike Leiter; Benjamin Weide; Maximilian Gassenmaier; Amadeus Schraag; Bernhard Klumpp; Wolfram Hoetzenecker; Carola Berking; Erika Richtig; Mirjana Ziemer; Johanna Mangana; Patrick Terheyden; Carmen Loquai; Van Anh Nguyen; Christoffer Gebhardt; Friedegund Meier; Stefan Diem; Antonio Cozzio; Lukas Flatz; Martin Röcken; Claus Garbe; Thomas K Eigentler
Journal:  J Immunother Cancer       Date:  2021-05       Impact factor: 13.751

Review 4.  Artificial Intelligence-based Radiomics in the Era of Immuno-oncology.

Authors:  Cyra Y Kang; Samantha E Duarte; Hye Sung Kim; Eugene Kim; Jonghanne Park; Alice Daeun Lee; Yeseul Kim; Leeseul Kim; Sukjoo Cho; Yoojin Oh; Gahyun Gim; Inae Park; Dongyup Lee; Mohamed Abazeed; Yury S Velichko; Young Kwang Chae
Journal:  Oncologist       Date:  2022-06-08       Impact factor: 5.837

5.  A nomogram for predicting hyperprogressive disease after immune checkpoint inhibitor treatment in lung cancer.

Authors:  Shuhui Cao; Yao Zhang; Yan Zhou; Wenwen Rong; Yue Wang; Xuxinyi Ling; Lincheng Zhang; Jingwen Li; Yusuke Tomita; Satoshi Watanabe; Takeo Nakada; Nobuhiko Seki; Toyoaki Hida; Said Dermime; Runbo Zhong; Hua Zhong
Journal:  Transl Lung Cancer Res       Date:  2022-04

6.  Clinical characteristics of hyperprogressive disease in NSCLC after treatment with immune checkpoint inhibitor: a systematic review and meta-analysis.

Authors:  Yan Chen; Junjie Hu; Fangfang Bu; Haiping Zhang; Ke Fei; Peng Zhang
Journal:  BMC Cancer       Date:  2020-07-29       Impact factor: 4.430

Review 7.  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

Review 8.  The biomarkers of hyperprogressive disease in PD-1/PD-L1 blockage therapy.

Authors:  Xueping Wang; Fang Wang; Mengjun Zhong; Yosef Yarden; Liwu Fu
Journal:  Mol Cancer       Date:  2020-05-02       Impact factor: 27.401

9.  Definition, Incidence, and Challenges for Assessment of Hyperprogressive Disease During Cancer Treatment With Immune Checkpoint Inhibitors: A Systematic Review and Meta-analysis.

Authors:  Hyo Jung Park; Kyung Won Kim; Sang Eun Won; Shinkyo Yoon; Young Kwang Chae; Sree Harsha Tirumani; Nikhil H Ramaiya
Journal:  JAMA Netw Open       Date:  2021-03-01

Review 10.  Novel patterns of progression upon immunotherapy in other thoracic malignancies and uncommon populations.

Authors:  Roberto Ferrara; Diego Signorelli; Claudia Proto; Arsela Prelaj; Marina Chiara Garassino; Giuseppe Lo Russo
Journal:  Transl Lung Cancer Res       Date:  2021-06
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