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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Oncotarget
2018 ; 9
(28
): 20034-20047
Nephropedia Template TP
gab.com Text
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English Wikipedia
Prognostic impact of programmed cell death ligand 1 (PD-L1) expression and its
association with epithelial-mesenchymal transition in extrahepatic
cholangiocarcinoma
#MMPMID29732001
Ueno T
; Tsuchikawa T
; Hatanaka KC
; Hatanaka Y
; Mitsuhashi T
; Nakanishi Y
; Noji T
; Nakamura T
; Okamura K
; Matsuno Y
; Hirano S
Oncotarget
2018[Apr]; 9
(28
): 20034-20047
PMID29732001
show ga
Extrahepatic cholangiocarcinoma (eCCA) has a poor prognosis. Although the
possibility of immunotherapy has been studied, immune checkpoint molecules such
as programmed death ligand 1 (PD-L1) in eCCA are not well understood.
Epithelial-mesenchymal transition (EMT) has recently been shown to regulate PD-L1
expression. Our aims were to assess the clinicopathological significance of
tumor-infiltrating lymphocytes (TILs) and tumor PD-L1 expression in eCCA and to
compare these immune responses with EMT marker expression. In this retrospective
study, we conducted immunohistochemical analyses for 117 patients with eCCA. We
stained for CD4, CD8, Foxp3, and PD-L1 as markers reflecting local immune
responses, and for E-cadherin, N-cadherin, vimentin, ZEB1, ZEB2, SNAIL, and TWIST
as markers associated with EMT. High numbers of CD4+ and CD8+ TILs correlated
with node-negative (P = 0.009 and P = 0.046, respectively) and low SNAIL
expression (P = 0.016 and P = 0.022, respectively). High PD-L1 expression was
associated with poor histopathological classification (P = 0.034), and low
E-cadherin (P = 0.001), high N-cadherin (P = 0.044), high vimentin (P < 0.001)
and high ZEB1 (P = 0.036) expression. Multivariate analysis showed that CD4+
TILs, PD-L1 expression and N-cadherin expression were independent prognostic
factors (hazard ratio (HR) = 0.61; 95% confidence interval (CI) = 0.38-1.00;
HR=4.27; 95% CI = 1.82-9.39; HR = 2.20; 95% CI = 1.18-3.92, respectively). These
findings could help to identify potential biomarkers for predicting not only the
prognosis, but also the therapeutic response to immunotherapy for eCCA.