Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?

Treatment of cancer has transformed with the introduction of checkpoint inhibitors. However, the majority of solid tumor patients do not respond to checkpoint blockade. In contrast, the response rate to programmed cell death 1 (PD-1) blockade in relapsed/refractory classical Hodgkin lymphoma (cHL) i...

Full description

Bibliographic Details
Main Authors: Ah-Reum Jeong, Edward D Ball, Aaron Michael Goodman
Format: Article
Language:English
Published: SAGE Publishing 2020-12-01
Series:Clinical Medicine Insights: Oncology
Online Access:https://doi.org/10.1177/1179554920976366
_version_ 1818643658442801152
author Ah-Reum Jeong
Edward D Ball
Aaron Michael Goodman
author_facet Ah-Reum Jeong
Edward D Ball
Aaron Michael Goodman
author_sort Ah-Reum Jeong
collection DOAJ
description Treatment of cancer has transformed with the introduction of checkpoint inhibitors. However, the majority of solid tumor patients do not respond to checkpoint blockade. In contrast, the response rate to programmed cell death 1 (PD-1) blockade in relapsed/refractory classical Hodgkin lymphoma (cHL) is 65% to 84% which is the highest among all cancers. Currently, checkpoint inhibitors are only approved for cHL and primary mediastinal B-cell lymphoma as the responses to single-agent checkpoint blockade in other hematologic malignancies is disappointingly low. Various established biomarkers such as programmed cell death 1 ligand 1 (PD-L1) protein surface expression, mismatch repair (MMR) status, and tumor mutational burden (TMB) are routinely used in clinical decision-making in solid tumors. In this review, we will explore these biomarkers in the context of hematologic malignancies. We review characteristic 9p24.1 structural alteration in cHL and primary mediastinal B-cell lymphoma (PMBCL) as a basis for response to PD-1 inhibition, as well as the role of antigen presentation pathways. We also explore the reported frequencies of MMR deficiency in various hematologic malignancies and investigate TMB as a predictive marker.
first_indexed 2024-12-17T00:02:27Z
format Article
id doaj.art-f7e4710073fe41299144c2800e03a938
institution Directory Open Access Journal
issn 1179-5549
language English
last_indexed 2024-12-17T00:02:27Z
publishDate 2020-12-01
publisher SAGE Publishing
record_format Article
series Clinical Medicine Insights: Oncology
spelling doaj.art-f7e4710073fe41299144c2800e03a9382022-12-21T22:11:03ZengSAGE PublishingClinical Medicine Insights: Oncology1179-55492020-12-011410.1177/1179554920976366Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?Ah-Reum Jeong0Edward D Ball1Aaron Michael Goodman2Division of Hematology and Oncology, Department of Medicine, University of California, San Diego, La Jolla, CA, USADivision of Blood and Marrow Transplantation, Department of Medicine, University of California, San Diego, La Jolla, CA, USADivision of Blood and Marrow Transplantation, Department of Medicine, University of California, San Diego, La Jolla, CA, USATreatment of cancer has transformed with the introduction of checkpoint inhibitors. However, the majority of solid tumor patients do not respond to checkpoint blockade. In contrast, the response rate to programmed cell death 1 (PD-1) blockade in relapsed/refractory classical Hodgkin lymphoma (cHL) is 65% to 84% which is the highest among all cancers. Currently, checkpoint inhibitors are only approved for cHL and primary mediastinal B-cell lymphoma as the responses to single-agent checkpoint blockade in other hematologic malignancies is disappointingly low. Various established biomarkers such as programmed cell death 1 ligand 1 (PD-L1) protein surface expression, mismatch repair (MMR) status, and tumor mutational burden (TMB) are routinely used in clinical decision-making in solid tumors. In this review, we will explore these biomarkers in the context of hematologic malignancies. We review characteristic 9p24.1 structural alteration in cHL and primary mediastinal B-cell lymphoma (PMBCL) as a basis for response to PD-1 inhibition, as well as the role of antigen presentation pathways. We also explore the reported frequencies of MMR deficiency in various hematologic malignancies and investigate TMB as a predictive marker.https://doi.org/10.1177/1179554920976366
spellingShingle Ah-Reum Jeong
Edward D Ball
Aaron Michael Goodman
Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?
Clinical Medicine Insights: Oncology
title Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?
title_full Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?
title_fullStr Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?
title_full_unstemmed Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?
title_short Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors?
title_sort predicting responses to checkpoint inhibitors in lymphoma are we up to the standards of solid tumors
url https://doi.org/10.1177/1179554920976366
work_keys_str_mv AT ahreumjeong predictingresponsestocheckpointinhibitorsinlymphomaareweuptothestandardsofsolidtumors
AT edwarddball predictingresponsestocheckpointinhibitorsinlymphomaareweuptothestandardsofsolidtumors
AT aaronmichaelgoodman predictingresponsestocheckpointinhibitorsinlymphomaareweuptothestandardsofsolidtumors