TY - JOUR
T1 - Biomarkers for immune checkpoint inhibition in non–small cell lung cancer (NSCLC)
AU - Bodor, J. Nicholas
AU - Boumber, Yanis
AU - Borghaei, Hossein
N1 - Funding Information:
Yanis Boumber was supported by National Institutes of Health grants NIH R01 CA218802 and NIH R21 CA223394, the V Foundation Translation Award Program (T2018‐013), and a 2018 to 2019 Fox Chase Cancer Center Clinical Protocol Development Award. All authors are supported in part by National Cancer Institute Core Grant P30 CA006927 to Fox Chase Cancer Center.
Funding Information:
Yanis Boumber was supported by National Institutes of Health grants NIH R01 CA218802 and NIH R21 CA223394, the V Foundation Translation Award Program (T2018-013), and a 2018 to 2019 Fox Chase Cancer Center Clinical Protocol Development Award. All authors are supported in part by National Cancer Institute Core Grant P30 CA006927 to Fox Chase Cancer Center.
Publisher Copyright:
© 2019 American Cancer Society
PY - 2020/1/15
Y1 - 2020/1/15
N2 - The emergence of immunotherapy has dramatically changed how non–small cell lung cancer is treated, and longer survival is now possible for some patients, even those with advanced disease. Although some patients achieve durable responses to checkpoint blockade, not all experience such benefits, and some suffer from significant immunotoxicities. Given this, biomarkers that predict response to therapy are essential, and testing for tumor programmed death ligand 1(PD-L1) expression is the current standard. The extent of PD-L1 expression determined by immunohistochemistry (IHC) has demonstrated a correlation with treatment response, although limitations with this marker exist. Recently, tumor mutational burden has emerged as an alternative biomarker, and studies have demonstrated its utility, irrespective of the PD-L1 level of a tumor. Gene expression signatures, tumor genotype (such as the presence of an oncogenic driver mutation), as well as the density of tumor-infiltrating lymphocytes in the tumor microenvironment also seem to affect response to immunotherapy and are being researched. Peripheral serum markers are being studied, and some have demonstrated predictive ability, although most are still investigational and need prospective validation. In the current article, the authors review the biomarker PD-L1 as well as other emerging and investigational tissue-based and serum-based markers that have potential to better predict responders to immunotherapy.
AB - The emergence of immunotherapy has dramatically changed how non–small cell lung cancer is treated, and longer survival is now possible for some patients, even those with advanced disease. Although some patients achieve durable responses to checkpoint blockade, not all experience such benefits, and some suffer from significant immunotoxicities. Given this, biomarkers that predict response to therapy are essential, and testing for tumor programmed death ligand 1(PD-L1) expression is the current standard. The extent of PD-L1 expression determined by immunohistochemistry (IHC) has demonstrated a correlation with treatment response, although limitations with this marker exist. Recently, tumor mutational burden has emerged as an alternative biomarker, and studies have demonstrated its utility, irrespective of the PD-L1 level of a tumor. Gene expression signatures, tumor genotype (such as the presence of an oncogenic driver mutation), as well as the density of tumor-infiltrating lymphocytes in the tumor microenvironment also seem to affect response to immunotherapy and are being researched. Peripheral serum markers are being studied, and some have demonstrated predictive ability, although most are still investigational and need prospective validation. In the current article, the authors review the biomarker PD-L1 as well as other emerging and investigational tissue-based and serum-based markers that have potential to better predict responders to immunotherapy.
KW - biomarkers
KW - immunotherapy
KW - non–small-cell lung cancer
KW - programmed death ligand 1 (PD-L1)
KW - tumor mutational burden (TMB)
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U2 - 10.1002/cncr.32468
DO - 10.1002/cncr.32468
M3 - Review article
C2 - 31691957
AN - SCOPUS:85074783489
SN - 0008-543X
VL - 126
SP - 260
EP - 270
JO - Cancer
JF - Cancer
IS - 2
ER -