Dataset Information

Novel landscape of HLA-G isoforms expressed in clear cell renal cell carcinoma patients.

ABSTRACT: Immune checkpoints are powerful inhibitory molecules that promote tumor survival. Their blockade is now recognized as providing effective therapeutic benefit against cancer. Human leukocyte antigen G (HLA-G), a recently identified immune checkpoint, has been detected in many types of primary tumors and metastases, in malignant effusions as well as on tumor-infiltrating cells, particularly in patients with clear cell renal cell carcinoma (ccRCC). Here, in order to define a possible anticancer therapy, we used a molecular approach based on an unbiased strategy that combines transcriptome determination and immunohistochemical labeling, to analyze in-depth the HLA-G isoforms expressed in these tumors. We found that the expression of HLA-G is highly variable among tumors and distinct areas of the same tumor, testifying a marked inter- and intratumor heterogeneity. Moreover, our results generate an inventory of novel HLA-G isoforms which includes spliced forms that have an extended 5'-region and lack the transmembrane and alpha-1 domains. So far, these isoforms could not be detected by any method available and their assessment may improve the procedure by which tumors are analyzed. Collectively, our approach provides the first extensive portrait of HLA-G in ccRCC and reveals data that should prove suitable for the tailoring of future clinical applications.

SUBMITTER: Tronik-Le Roux D

PROVIDER: S-EPMC5664004 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Novel landscape of HLA-G isoforms expressed in clear cell renal cell carcinoma patients.

Tronik-Le Roux Diana D Renard Julie J Vérine Jérôme J Renault Victor V Tubacher Emmanuel E LeMaoult Joel J Rouas-Freiss Nathalie N Deleuze Jean-François JF Desgrandschamps François F Carosella Edgardo D ED

Molecular oncology 20170913 11

Immune checkpoints are powerful inhibitory molecules that promote tumor survival. Their blockade is now recognized as providing effective therapeutic benefit against cancer. Human leukocyte antigen G (HLA-G), a recently identified immune checkpoint, has been detected in many types of primary tumors and metastases, in malignant effusions as well as on tumor-infiltrating cells, particularly in patients with clear cell renal cell carcinoma (ccRCC). Here, in order to define a possible anticancer the ...[more]

PMID: 28815885

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Project description:Background: Clear cell renal cell carcinoma (ccRCC) is the most common histological subtype of renal cell carcinoma (RCC). Anoikis plays an essential function in tumourigenesis, whereas the role of anoikis in ccRCC remains unclear. Methods: Anoikis-related genes (ARGs) were collected from the MSigDB database. According to univariate Cox regression analysis, the least absolute shrinkage and selection operator (LASSO) algorithm was utilized to select the ARGs associated with the overall rate (OS). Multivariate Cox regression analysis was conducted to identify 5 prognostic ARGs, and a risk model was established. The Kaplan-Meier survival analysis was used to evaluate the OS rate of ccRCC patients. Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and Gene set enrichment analysis (GSVA) were utilized to investigate the molecular mechanism of patients in the low- and high-risk group. ESTIMATE, CIBERSOT, and single sample gene set enrichment analysis (ssGSEA) algorithms were conducted to estimate the immune infiltration landscape. Consensus clustering analysis was performed to divide the patients into different subgroups. Results: A fresh risk model was constructed based on the 5 prognostic ARGs (CHEK2, PDK4, ZNF304, SNAI2, SRC). The Kaplan-Meier survival analysis indicated that the OS rate of patients with a low-risk score was significantly higher than those with a high-risk score. Consensus clustering analysis successfully clustered the patients into two subgroups, with a remarkable difference in immune infiltration landscape and prognosis. The ESTIMATE, CIBERSORT, and ssGSEA results illustrated a significant gap in immune infiltration landscape of patients in the low- and high-risk group. Enrichment analysis and GSVA revealed that immune-related signaling pathways might mediate the role of ARGs in ccRCC. The nomogram results illustrated that the ARGs prognostic signature was an independent prognostic predictor that distinguished it from other clinical characteristics. TIDE score showed a promising immunotherapy response of ccRCC patients in different risk subgroups and cluster subgroups. Conclusion: Our study revealed that ARGs play a carcinogenic role in ccRCC. Additionally, we firstly integrated multiple ARGs to establish a risk-predictive model. This study highlights that ARGs could be implemented as a stratification factor for individualized and precise treatment in ccRCC patients.

Dataset Information

Novel landscape of HLA-G isoforms expressed in clear cell renal cell carcinoma patients.

Publications

Novel landscape of HLA-G isoforms expressed in clear cell renal cell carcinoma patients.

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