2015
DOI: 10.1016/j.ctrv.2015.11.001
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Predictive biomarkers in PD-1/PD-L1 checkpoint blockade immunotherapy

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Cited by 357 publications
(310 citation statements)
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“…Another reported predictive factor for response to anti PD-1 agents is PD-L1 expression before treatment, but this remains a matter of debate owing to the dynamic process of PD-L1 expression, the multiplicity of detection methods and the use of different cutoff values. 17 Moreover, the predictive value of PD-L1 expression also differs between tumor subtypes and the monoclonal antibody used. As an example, PD-L1 status alone does not seem to be useful in the selection of melanoma patients for nivolumab.…”
mentioning
confidence: 99%
“…Another reported predictive factor for response to anti PD-1 agents is PD-L1 expression before treatment, but this remains a matter of debate owing to the dynamic process of PD-L1 expression, the multiplicity of detection methods and the use of different cutoff values. 17 Moreover, the predictive value of PD-L1 expression also differs between tumor subtypes and the monoclonal antibody used. As an example, PD-L1 status alone does not seem to be useful in the selection of melanoma patients for nivolumab.…”
mentioning
confidence: 99%
“…44,45 A wide variety of cancers express PD-L1 including melanoma, lung, renal, bladder, esophageal, gastric and other cancers. 46 T cells are activated by tumor-specific antigens. Activated T cells proliferate and attack antigen-expressing tumor cells, ultimately destroying them.…”
Section: The Product Of Interestmentioning
confidence: 99%
“…A number of studies have focused on the role of immunohistochemical expression of PD-L1 in tumor cells. 46 A meta-analysis to determine the predictive value of tumor cell PD-L1 expression involving 20 clinical trials that enrolled a total of 1475 patients revealed a higher response rate in patients with PD-L1-positive tumors (34% vs. 20%, p < 0.0001). 78 The absolute difference between response rate in PD-L1-positive and PD-L1-negative cases treated with nivolumab was 16.4%.…”
Section: Development Of Predictive Biomarkersmentioning
confidence: 99%
“…However, an important issue is how to identify patients likely to benefit from PD-1/PD-L1 inhibitors. The findings of recent studies indicate that PD-L1 expression levels have emerged as a predictive biomarker useful for stratifying patients with NSCLC who are receiving PD-1/PD-L1 therapeutic agents (10). Each PD-1/PD-L1 inhibitor has been tested with a companion diagnostic assay or complementary diagnostic assay using different PD-L1 antibodies (clone 28-8, clone 22C3, clone SP142 and clone SP263), protocols, or cut-offs for PD-L1 positivity (see in Table 2).…”
mentioning
confidence: 99%