Atypical Response Patterns in Renal Cell Carcinoma Treated with Immune Checkpoint Inhibitors-Navigating the Radiologic Potpourri.

abscopal response atypical response patterns dissociated response pseudoprogression renal cell carcinoma stereotactic body radiation therapy

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
02 Apr 2021
Historique:
received: 03 03 2021
revised: 23 03 2021
accepted: 31 03 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

Atypical response patterns have been a topic of increasing relevance since the advent of immune checkpoint inhibitors (ICIs), challenging the traditional RECIST (Response Evaluation Criteria in Solid Tumors) method of tumor response assessment. Newer immune-related response criteria can allow for the evolution of radiologic pseudoprogression, but still fail to capture the full range of atypical response patterns encountered in clinical reporting. We did a detailed lesion-by-lesion analysis of the serial imaging of 46 renal cell carcinoma (RCC) patients treated with ICIs with the aim of capturing the full range of radiologic behaviour. Atypical response patterns observed included pseudoprogression ( There is a high incidence of atypical response patterns in RCC patients receiving ICIs and the study contributes to the growing literature on the abscopal effect. The recognition of these interesting and overlapping radiologic patterns challenges the oncologist to tweak treatment options such that the clinical benefits of ICIs are potentially maximized.

Sections du résumé

BACKGROUND BACKGROUND
Atypical response patterns have been a topic of increasing relevance since the advent of immune checkpoint inhibitors (ICIs), challenging the traditional RECIST (Response Evaluation Criteria in Solid Tumors) method of tumor response assessment. Newer immune-related response criteria can allow for the evolution of radiologic pseudoprogression, but still fail to capture the full range of atypical response patterns encountered in clinical reporting.
METHODS METHODS
We did a detailed lesion-by-lesion analysis of the serial imaging of 46 renal cell carcinoma (RCC) patients treated with ICIs with the aim of capturing the full range of radiologic behaviour.
RESULTS RESULTS
Atypical response patterns observed included pseudoprogression (
CONCLUSIONS CONCLUSIONS
There is a high incidence of atypical response patterns in RCC patients receiving ICIs and the study contributes to the growing literature on the abscopal effect. The recognition of these interesting and overlapping radiologic patterns challenges the oncologist to tweak treatment options such that the clinical benefits of ICIs are potentially maximized.

Identifiants

pubmed: 33918397
pii: cancers13071689
doi: 10.3390/cancers13071689
pmc: PMC8038243
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Alvin Wong (A)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Balamurugan Vellayappan (B)

Department of Radiation Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Lenith Cheng (L)

Department of Diagnostic Imaging, National University Hospital, Singapore 119228, Singapore.

Joseph J Zhao (JJ)

Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.

Vaishnavi Muthu (V)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Yugarajah Asokumaran (Y)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Jia-Li Low (JL)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Matilda Lee (M)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Yi-Qing Huang (YQ)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Nesaretnam Barr Kumarakulasinghe (NB)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Natalie Ngoi (N)

Department of Haematology-Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Cheng-Nang Leong (CN)

Department of Radiation Oncology, National University Cancer Institute, Singapore 119228, Singapore.

Wynne Chua (W)

Department of Diagnostic Imaging, National University Hospital, Singapore 119228, Singapore.

Yee-Liang Thian (YL)

Department of Diagnostic Imaging, National University Hospital, Singapore 119228, Singapore.

Classifications MeSH