Programmed Death-ligand 1 In Tissues Research Articles

Clinical significance of targeting drug-based molecular biomarkers expression in ovarian clear cell carcinoma

Objective: To assess the expression level of targeting drug-based molecular biomarkers in ovarian clear cell carcinoma (OCCC) tissues and its clinical significance. Methods: A total of 63 OCCC patients included 40 primary OCCC and 23 recurrent OCCC for secondary cytoreductive surgery (SCS), who had received primary surgeries at Fudan University Shanghai Cancer Center between January, 2008 and December, 2015 were enrolled, and immunohistochemistry SP method was used to test human epidermal growth factor receptor (EGFR), human epidermal growth factor receptor-2 (HER2), aurora kinase A (AURKA), breast cancer susceptibility gene 1 (BRCA1), BRCA2 and programmed death-ligand 1 (PD-L1)protein expression in paraffin-embedded tissues. Results: The positive rates of EGFR, HER2, AURKA,BRCA1, BRCA2 and PD-L1 in primary and recurrent tumor tissues were respectively 20% (8/40) vs 30% (7/23) , 22% (9/40) vs 35% (8/23) , 38% (15/40) vs 35% (8/23) , 42% (17/40) vs 39% (9/23) , 20% (8/40) vs 22% (5/23) , 25% (10/40) vs 17% (4/23) , and there were no significant differences between primary and recurrent OCCC (all P>0.05). χ(2)-test or Fisher exact analysis revealed that HER2 expression in recurrent tumor tissues had a relationship with chemoresistance (P<0.05), while the expression of other biomarkers showed no significant relationship with chemoresistance (all P>0.05). Further, Kaplan-Meier survival analysis showed that patients with HER2 and AURKA-positive expression had a significantly shorter progression-free survival time in primary OCCC (4 months vs 10 months, log-rank test, P<0.05 for HER2; and 4 months vs 10 months, P<0.05 for AURKA); and a shorter overall survival time after SCS in recurrent OCCC (10 months vs 44 months, P<0.05 for HER2; and 13 months vs 43 months, P<0.05 for AURKA). However, multivariate Cox proportional hazards regression analysis indicated that none of these 6 biomarkers was independent risk factor of progression-free survival time of primary OCCC or overall survival time after SCS for recurrent OCCC (P>0.05). Conclusion: HER2 and AURKA could serve as prognostic factors in ovarian clear cell carcinoma.

Programmed death-ligand 1 (PD-L1) is expressed in a significant number of the uterine cervical carcinomas

BackgroundThe programmed death-1/programmed death-ligand-1 (PD-1/PD-L1) immune regulatory axis has emerged as a promising new target for cancer therapeutics, with lasting responses seen in the treatment of metastatic renal and lung carcinomas, as well as melanomas. As tumor surface expression of PD-L1 has been found to correlate with objective responses to anti-PD-L1 immunotherapies, we investigated the expression of PD-L1 in human cervical tumors and provide an adopted scoring system for the systematic evaluation of PD-L1 staining.MethodsImmunohistochemical staining for PD-L1 expression was performed on a tissue microarray of 101 normal and neoplastic cervical tissues. Neoplastic cores were divided into three groups: squamous cell carcinoma, adenosquamous carcinoma, and endocervical adenocarcinoma. PD-L1 expression was scored based on an adopted scoring system accounting to percentage and intensity of positivity, and results provided alongside available clinical and demographic data.ResultsOverall, PD-L1 was positive in 32 of 93 (34.4%) cervical carcinomas. Subcategorically, PD-L1 was positive in 28 of 74 (37.8%) squamous cell carcinomas, two of seven (28.6%) adenosquamous carcinomas, and two of 12 (16.7%) endocervical adenocarcinomas. It was negative in six benign cervical tissues.ConclusionsThis study shows a significant expression of PD-L1 in 34.4% of cervical carcinomas and no expression of PD-L1 in benign cervical tissues. These findings suggest a role for further investigation of anti-PD-L1/PD-1 immunotherapies in the treatment of PD-L1-positive cervical tumors. In addition, our adopted scoring system will facilitate more systematic correlations between tumor reactivity and response to treatment.

MYC expression correlates with PD-L1 expression in non-small cell lung cancer

Objectives Programmed death-ligand 1 (PD-L1) is a widely used biomarker for predicting immune checkpoint inhibitors, but is of limited usefulness in the prediction of drug response. MYC, a transcription factor that is overexpressed in cancers, is involved in preventing immune cells from attacking tumor cells through inducing PD-L1 expression. This study evaluated the relationship between MYC and PD-L1 expression in 84 non-small cell lung cancer (NSCLC) patients who underwent curative surgical resection.Materials and Methods The relationship between MYC and PD-L1 was investigated by introducing pcDNA3-cMYC into A549 and H1299 cells with low PD-L1 expression and siRNA against MYC into H60 and H2009 cells with high PD-L1 expression. Expression of PD-L1 in NSCLC tissues was analyzed by immunostaining using a PD-L1 (22C3) PharmDx protocol using the Dako Automated Link 48 platform and expression of MYC was determined using anti-c-MYC (Y69) (ab320720).Results Of 84 patients, PD-L1 was expressed in 14 (16.7%) and MYC was overexpressed in 30 (35.7%). We investigated the relationship between PD-L1 and MYC expression. There were 49 (58.3%) double-negative patients and 9 (10.7%) double-positive patients. Significant positive correlation was observed between PD-L1 and MYC expression (γ=0.210, P=0.029). Double-negative patients showed better disease free (31.1 vs. 7.1 months, P=0.011) and overall survival (56.1 vs. 14.4 months, P=0.032) than double-positive patients.Conclusion Taken together, MYC expression significantly correlated with PD-L1 expression in NSCLC. The usefulness of MYC expression as a surrogate marker of treatment response assessment is worth evaluating for immune checkpoint inhibitor therapy and special interest are required for the subgroup of NSCLC patients, whose tumor expresses PD-L1 and MYC double positive.

The Impact of PD-L1 Expression in Patients with Metastatic GEP-NETs.

Programmed death-ligand 1 (PD-L1), which is expressed on many cancer cells, interacts with PD1 expressed on the surface of T cells, inhibiting the T cells and blocking the antitumor immune response. Expression of PD-L1 in gastroenteropancreatic neuroendocrine tumors (GEP-NETs) has not been studied. We investigated the impact of PD-L1 expression in 32 patients with metastatic GEP-NET.The expression of PD-L1 was evaluated using an anti-PD-L1 immunohistochemistry (IHC) antibody optimized for staining of formalin-fixed paraffin-embedded (FFPE) tissue samples. The correlation between PD-L1 and clinicopathological data including survival and response to systemic treatments was analyzed.Primary sites were 24 foregut-derived GEP-NETs, including stomach (n=1), duodenum (n=2), biliary tract (n=7), and pancreas (n=14), and 8 hindgut-derived GEP-NETs of the distal colon and rectum. Among the 32 patients with metastatic GEP-NET analyzed in this study, 7 (21.9%) had expression of PD-L1 in tumor tissues. Expression of PD-L1 was significantly associated with high-grade WHO classification (grade 3) (p=0.008) but not with gender, primary site, and number of metastatic sites (p>0.05). The status of PD-L1 expression was statistically associated with progression-free survival (PFS) for first-line systemic treatment (p=0.047). Moreover, the status of PD-L1 expression could significantly predict overall survival (p=0.037).The expression of PD-L1 was associated with higher WHO tumor grade (grade 3) in metastatic GEP-NETs. PD-L1 expression had both predictive and prognostic value for survival of patients with metastatic GEP-NETs.

Upregulation of PD-L1 and APE1 is associated with tumorigenesis and poor prognosis of gastric cancer.

IntroductionGastric cancer is a fatal malignancy with a rising incidence rate. Effective methods for early diagnosis, monitoring metastasis, and prognosis are currently unavailable for gastric cancer. In this study, we examined the association of programmed death ligand-1 (PD-L1) and apurinic/apyrimidinic endonuclease 1 (APE1) expression with the prognosis of gastric cancer.MethodsThe expressions of PD-L1 and APE1 were detected by immunohistochemistry in 107 cases of human gastric carcinoma. The correlation of PD-L1 and APE1 expression with the clinicopathologic features of gastric carcinoma was analyzed by SPSS version 19.0.ResultsThe positive expression rates of PD-L1 and APE1 in gastric cancer tissues were 50.5% (54/107) and 86.9% (93/107), respectively. PD-L1 and APE1 positive expressions were significantly associated with depth of invasion, lymph node metastasis, pathological type, overall survival, and higher T stage. Furthermore, the expression of PD-L1 in highly differentiated gastric cancers was higher than that in poorly differentiated cancers (P=0.008). Moreover, the expression of APE1 and PD-L1 in gastric cancers was positively correlated (r=0.336, P<0.01). Multivariate analysis showed that the depth of invasion was a significant prognostic factor (risk ratio 19.91; P=0.000), but there was no significant relationship with PD-L1, APE1, prognosis, and other characteristics.ConclusionThe deregulation of PD-L1 and APE1 might contribute to the development and the poor prognosis of gastric cancer. Our findings suggest that high expression of PD-L1 and APE1 is a risk factor of gastric cancer and a new biomarker to predict the prognosis of gastric cancer. Furthermore, our findings suggest that targeting the PD-L1 and APE1 signaling pathways may be a new strategy for cancer immune therapy and targeted therapy for gastric cancer, especially in patients with deep invasion and lymph node metastasis.