TY - JOUR
T1 - Programmed cell death ligand-1 (PD-L1) and CD8 expression profiling identify an immunologic subtype of pancreatic ductal adenocarcinomas with favorable survival
AU - Danilova, Ludmila
AU - Ho, Won Jin
AU - Zhu, Qingfeng
AU - Vithayathil, Teena
AU - De Jesus-Acosta, Ana
AU - Azad, Nilofer S.
AU - Laheru, Daniel A.
AU - Fertig, Elana
AU - Anders, Robert
AU - Jaffee, Elizabeth M.
AU - Yarchoan, Mark
N1 - Funding Information:
W.J. Ho has ownership interest (including stock, patents, etc.) in Rodeo Therapeutics. R. Anders has received honoraria from the speakers bureau of Bristol-Myers Squibb, Merck, and AstraZeneca. E.M. Jaffee reports receiving a commercial research grant from Bristol-Myers Squibb, Aduro Biotech, and Amgen, has ownership interest (including stock, patents, etc.) in Aduro Biotech, and is a consultant/advisory board member for CStone, Dragonfly, Genocea, and Adaptive Biotechnologies. M. Yarchoan reports receiving a commercial research grant from Bristol-Myers Squibb, Exelixis, and Merck & Co, and is a consultant/advisory board member for Eisai and Exelixis. No potential conflicts of interest were disclosed by the other authors.
Publisher Copyright:
© 2019 American Association for Cancer Research.
PY - 2019/6
Y1 - 2019/6
N2 - Immune-checkpoint therapy has failed to demonstrate meaningful clinical benefit in unselected cases of pancreatic adenocarcinoma (PDAC), but a subset of PDACs are known to upregulate pathways involved in acquired immune suppression. Further delineation of immunologic subtypes of PDAC is necessary to improve clinical trial designs and identify patients who might benefit from immune-checkpoint therapy. We used clinical survival and RNA expression data from The Cancer Genome Atlas (TCGA) to investigate the relationship between immune-modulating pathways and immune subset markers and their impact on survival in PDAC patients. Of the adaptive immune-resistance pathways, expression of PD-L1 and IDO1 was individually associated with poor survival. Although CD8 expression alone was not correlated with survival, the combination of PD-L1- and high CD8 expression identified a subtype with favorable survival. Wefurther extended these observations using an independent PDAC cohort from our institution via IHC, again observing that the PD-L1-/CD8high subtype was associated with positive prognosis. Although PDAC is regarded as a poorly immunogenic cancer type, these findings infer that T-cell infiltration in the absence of adaptive immune-resistance pathways is a feature of long-term survival in PDAC and imply the importance of developing future immunotherapeutic strategies based on data-supported biomarkers to refine patient selection.
AB - Immune-checkpoint therapy has failed to demonstrate meaningful clinical benefit in unselected cases of pancreatic adenocarcinoma (PDAC), but a subset of PDACs are known to upregulate pathways involved in acquired immune suppression. Further delineation of immunologic subtypes of PDAC is necessary to improve clinical trial designs and identify patients who might benefit from immune-checkpoint therapy. We used clinical survival and RNA expression data from The Cancer Genome Atlas (TCGA) to investigate the relationship between immune-modulating pathways and immune subset markers and their impact on survival in PDAC patients. Of the adaptive immune-resistance pathways, expression of PD-L1 and IDO1 was individually associated with poor survival. Although CD8 expression alone was not correlated with survival, the combination of PD-L1- and high CD8 expression identified a subtype with favorable survival. Wefurther extended these observations using an independent PDAC cohort from our institution via IHC, again observing that the PD-L1-/CD8high subtype was associated with positive prognosis. Although PDAC is regarded as a poorly immunogenic cancer type, these findings infer that T-cell infiltration in the absence of adaptive immune-resistance pathways is a feature of long-term survival in PDAC and imply the importance of developing future immunotherapeutic strategies based on data-supported biomarkers to refine patient selection.
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U2 - 10.1158/2326-6066.CIR-18-0822
DO - 10.1158/2326-6066.CIR-18-0822
M3 - Article
C2 - 31043417
AN - SCOPUS:85067218776
SN - 2326-6066
VL - 7
SP - 886
EP - 895
JO - Cancer Immunology Research
JF - Cancer Immunology Research
IS - 6
ER -