Literature DB >> 30231380

Patterns of Response and Progression to Immunotherapy.

Edith Borcoman1, Amara Nandikolla1, Georgina Long1, Sanjay Goel1, Christophe Le Tourneau1.   

Abstract

Patterns of response and progression to immunotherapy may differ from those observed with drugs such as chemotherapy and molecularly targeted agents. Specifically, some patients experience a response after progression that is retrospectively named pseudoprogression. This phenomenon of pseudoprogression, first reported in patients with melanoma who were treated with ipilimumab, has led to the development of immune-specific related response criteria, such as irRC (immune-related response criteria), irRECIST (immune-related RECIST), and iRECIST (immunotherapy RECIST) that allow continued treatment beyond progression. However, the rate of pseudoprogression has never exceeded 10% of patients across tumor types. Conversely, rapid progressions after immunotherapy, called hyperprogressions, were reported by three different teams in 9% to 29% of patients treated with immunotherapy. Because of the absence of control arms in these studies, it remains to be determined whether these rapid progressions reflect a detrimental effect of immunotherapy in these patients. Finally, preliminary data suggest that immunotherapy might also affect response to subsequent standard therapies. In total, given the rarity of pseudoprogressions across tumor types and the recent description of hyperprogressions, classic RECIST remains a reasonable and rational method to assess response to immunotherapy. Continuation of treatment beyond progression should be proposed only in carefully selected patients whose clinical conditions have improved and who have not experienced severe toxicities. Although there is an urgent need to identify predictive biomarkers of efficacy to immunotherapy, there is an equally urgent need to identify predictive factors of progression or possibly hyperprogression.

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Year:  2018        PMID: 30231380     DOI: 10.1200/EDBK_200643

Source DB:  PubMed          Journal:  Am Soc Clin Oncol Educ Book        ISSN: 1548-8748


  57 in total

1.  Atypical patterns of response to immune checkpoint inhibitors: interpreting pseudoprogression and hyperprogression in decision making for patients' treatment.

Authors:  Concetta Elisa Onesti; Pierre Frères; Guy Jerusalem
Journal:  J Thorac Dis       Date:  2019-01       Impact factor: 2.895

2.  Intravitreous Cutaneous Metastatic Melanoma in the Era of Checkpoint Inhibition: Unmasking and Masquerading.

Authors:  Jasmine H Francis; Duncan Berry; David H Abramson; Christopher A Barker; Chris Bergstrom; Hakan Demirci; Michael Engelbert; Hans Grossniklaus; Baker Hubbard; Codrin E Iacob; Korey Jaben; Madhavi Kurli; Michael A Postow; Jedd D Wolchok; Ivana K Kim; Jill R Wells
Journal:  Ophthalmology       Date:  2019-09-24       Impact factor: 12.079

Review 3.  Immune checkpoint blockade in solid organ tumours: Choice, dose and predictors of response.

Authors:  Vishal Navani; Moira C Graves; Nikola A Bowden; Andre Van Der Westhuizen
Journal:  Br J Clin Pharmacol       Date:  2020-06-05       Impact factor: 4.335

4.  Patterns of progression in patients treated for immuno-oncology antibodies combination.

Authors:  Alice Bernard-Tessier; Capucine Baldini; Eduardo Castanon; Patricia Martin; Stéphane Champiat; Antoine Hollebecque; Sophie Postel-Vinay; Andreea Varga; Rastilav Bahleda; Anas Gazzah; Jean-Marie Michot; Vincent Ribrag; Jean-Pierre Armand; Aurélien Marabelle; Jean-Charles Soria; Christophe Massard; Samy Ammari
Journal:  Cancer Immunol Immunother       Date:  2020-07-22       Impact factor: 6.968

Review 5.  Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group.

Authors:  L De Mattos-Arruda; M Vazquez; F Finotello; R Lepore; E Porta; J Hundal; P Amengual-Rigo; C K Y Ng; A Valencia; J Carrillo; T A Chan; V Guallar; N McGranahan; J Blanco; M Griffith
Journal:  Ann Oncol       Date:  2020-06-28       Impact factor: 32.976

Review 6.  Visualizing T-Cell Responses: The T-Cell PET Imaging Toolbox.

Authors:  Chao Li; Chaozhe Han; Shao Duan; Ping Li; Israt S Alam; Zunyu Xiao
Journal:  J Nucl Med       Date:  2021-12-09       Impact factor: 10.057

Review 7.  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

Review 8.  MR cell size imaging with temporal diffusion spectroscopy.

Authors:  Xiaoyu Jiang; Hua Li; Sean P Devan; John C Gore; Junzhong Xu
Journal:  Magn Reson Imaging       Date:  2020-12-16       Impact factor: 2.546

9.  18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Following Chimeric Antigen Receptor T-cell Therapy in Large B-cell Lymphoma.

Authors:  Andrew Ruff; Hatcher J Ballard; Austin R Pantel; Esin C Namoglu; Mitchell E Hughes; Sunita D Nasta; Elise A Chong; Adam Bagg; Marco Ruella; Michael D Farwell; Jakub Svoboda; Mark A Sellmyer
Journal:  Mol Imaging Biol       Date:  2021-07-06       Impact factor: 3.488

Review 10.  Immune response evaluation criteria in solid tumors for assessment of atypical responses after immunotherapy.

Authors:  Davide Ippolito; Cesare Maino; Maria Ragusi; Marco Porta; Davide Gandola; Cammillo Talei Franzesi; Teresa Paola Giandola; Sandro Sironi
Journal:  World J Clin Oncol       Date:  2021-05-24
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