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PD-L1 Expression as a Predictive Biomarker in Cancer Immunotherapy

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TLDR
Improved understanding of the host immune system and tumor microenvironment will better elucidate which patients derive benefit from these promising agents, and the issue of PD-L1 as an exclusionary predictive biomarker is clarified.
Abstract
The resurgence of cancer immunotherapy stems from an improved understanding of the tumor microenvironment. The PD-1/PD-L1 axis is of particular interest, in light of promising data demonstrating a restoration of host immunity against tumors, with the prospect of durable remissions. Indeed, remarkable clinical responses have been seen in several different malignancies including, but not limited to, melanoma, lung, kidney, and bladder cancers. Even so, determining which patients derive benefit from PD-1/PD-L1-directed immunotherapy remains an important clinical question, particularly in light of the autoimmune toxicity of these agents. The use of PD-L1 (B7-H1) immunohistochemistry (IHC) as a predictive biomarker is confounded by multiple unresolved issues: variable detection antibodies, differing IHC cutoffs, tissue preparation, processing variability, primary versus metastatic biopsies, oncogenic versus induced PD-L1 expression, and staining of tumor versus immune cells. Emerging data suggest that patients whose tumors overexpress PD-L1 by IHC have improved clinical outcomes with anti-PD-1-directed therapy, but the presence of robust responses in some patients with low levels of expression of these markers complicates the issue of PD-L1 as an exclusionary predictive biomarker. An improved understanding of the host immune system and tumor microenvironment will better elucidate which patients derive benefit from these promising agents.

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Journal ArticleDOI

Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers.

TL;DR: Higher TMB predicts favorable outcome to PD-1/PD-L1 blockade across diverse cancers treated with various immunotherapies, and Benefit from dual checkpoint blockade did not show a similarly strong dependence on TMB.
Journal ArticleDOI

CTLA-4 and PD-1 Pathways: Similarities, Differences, and Implications of Their Inhibition.

TL;DR: An overview of the CTLA-4 and PD-1 pathways and implications of their inhibition in cancer therapy is provided and the clinical profiles of immuno-oncology agents inhibiting these 2 checkpoints may vary based on their mechanistic differences.
Journal ArticleDOI

Immune checkpoint inhibitors: recent progress and potential biomarkers.

TL;DR: Different predictive biomarkers for anti-PD-1/PD-L1 and anti-CTLA-4 inhibitors, including immune cells, PD-L 1 overexpression, neoantigens, and genetic and epigenetic signatures are discussed, which could improve the efficacy of this promising new cancer therapy.
Journal ArticleDOI

Predictive biomarkers for checkpoint inhibitor-based immunotherapy.

TL;DR: The status of PD-L1 testing is discussed, emerging data on new biomarker strategies with tumour-infiltrating lymphocytes, mutational burden, immune gene signatures, and multiplex immunohistochemistry are explored, and predictive biomarkers for checkpoint inhibitor-based immunotherapy are explored.
References
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Journal ArticleDOI

The blockade of immune checkpoints in cancer immunotherapy

TL;DR: Preliminary clinical findings with blockers of additional immune-checkpoint proteins, such as programmed cell death protein 1 (PD1), indicate broad and diverse opportunities to enhance antitumour immunity with the potential to produce durable clinical responses.
Journal ArticleDOI

Use of Chemotherapy plus a Monoclonal Antibody against HER2 for Metastatic Breast Cancer That Overexpresses HER2

TL;DR: The addition of trastuzumab to chemotherapy was associated with a longer time to disease progression, a higher rate of objective response, a longer duration of response, and a lower rate of death at 1 year.
Journal ArticleDOI

Signatures of mutational processes in human cancer

Ludmil B. Alexandrov, +84 more
- 22 Aug 2013 - 
TL;DR: It is shown that hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types, and this results reveal the diversity of mutational processes underlying the development of cancer.
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