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Combined cancer testis antigens enhanced prediction accuracy for prognosis of patients with hepatocellular carcinoma.

ABSTRACT: Cancer testis antigens (CTAs) are selectively expressed in malignant cells and can serve as ideal targets for immunotherapy. We investigated the expressions of MAGE-A3, MAGE-A4, MAGE-C2 and NY-ESO-1 to determine if combinatorial expressions of CTAs might be as potential prognostic markers for patients with hepatocellular carcinoma (HCC). In tumor tissues of 142 HCC patients, the mRNA expressions of MAGE-A3, MAGE-A4, MAGE-C2 and NY-ESO-1 were 78.9%, 33.8%, 74.6% and 14.1% respectively. Furthermore, the expressions of MAGE-A3, MAGE-A4 and combination of MAGE-A3, MAGE-A4 and NY-ESO-1 (CTAs-A3/A4/NY) showed positive correlations with serum AFP, tumor stages and Ki-67 (P < 0.05). In addition, mRNA expressions of CTAs were significantly consistent with protein expressions of CTAs by immunohistochemistry (P > 0.05). Receiver operating characteristic curves (ROC) analysis showed that CTAs-A3/A4/NY had larger areas under ROC curve (0.768), specificity (99.1%), Youden's index (44.6), positive predictive value (90.9%) and negative predictive value (89.9%) for predicting HCC recurrence than other CTAs. Moreover, the combinatorial expression of CTAs-A3/A4/NY was significantly associated with HCC recurrence by Kaplan-Meier analysis (HR = 69.36, P < 0.01) and multivariate Cox analysis (RR = 17.11, P < 0.01). The combinatorial expression of CTAs-A3/A4/NY mRNA promotes the predictive accuracy of HCC recurrence and itself may be a potential target for immunotherapy of HCC as well.

SUBMITTER: Wang M

PROVIDER: S-EPMC4466922 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Combined cancer testis antigens enhanced prediction accuracy for prognosis of patients with hepatocellular carcinoma.

Wang Meng M Li Jiansheng J Wang Liping L Chen Xinfeng X Zhang Zhen Z Yue Dongli D Ping Yu Y Shi Xiaojuan X Huang Lan L Zhang Tengfei T Yang Li L Zhao Yongfu Y Ma Xiuxian X Li Dexu D Fan Zhengjun Z Zhao Longshuan L Tang Zhe Z Zhai Wenlong W Zhang Bin B Zhang Yi Y

International journal of clinical and experimental pathology 20150401 4

Cancer testis antigens (CTAs) are selectively expressed in malignant cells and can serve as ideal targets for immunotherapy. We investigated the expressions of MAGE-A3, MAGE-A4, MAGE-C2 and NY-ESO-1 to determine if combinatorial expressions of CTAs might be as potential prognostic markers for patients with hepatocellular carcinoma (HCC). In tumor tissues of 142 HCC patients, the mRNA expressions of MAGE-A3, MAGE-A4, MAGE-C2 and NY-ESO-1 were 78.9%, 33.8%, 74.6% and 14.1% respectively. Furthermor ...[more]

PMID: 26097535

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Project description:Hepatocellular carcinoma (HCC) is a common type of malignant tumor with high morbidity and mortality. The oxidative phosphorylation (OXPHOS) metabolic pathway produces adenosine triphosphate (ATP) by delivering electrons to transmembrane protein complexes in the mitochondria. This research was dedicated to identifying an OXPHOS-associated signature for the assessment of prognosis of HCC patients. A total of 371 HCC patients from the Cancer Genome Atlas (TCGA) and 231 HCC patients from the International Cancer Genome Consortium (ICGC) with RNA expression data and clinical data were employed as construction and validation cohorts, respectively. The least absolute shrinkage and selection operator (LASSO) Cox regression was applied to establish a multigene signature in the TCGA cohort, and the ICGC cohort was used for validation. The prognostic value of the risk signature was evaluated using univariate and multivariate Cox regression, Kaplan-Meier curves, and receiver operating characteristic (ROC) curves. The potential enrichment of biological functions was investigated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Meanwhile, we analyzed the correlation between the risk score and the tumor microenvironment (TME). A five-gene signature including ATP6V0B, ATP6V1C1, ATP6V1E1, TIMM9, and UQCRH was identified by LASSO Cox regression to classify patients into low- and high-risk groups. ROC curve analysis indicated that the five-gene signature is a prospective prognostic factor in HCC patients. Univariate and multivariate Cox regression analyses demonstrated that the risk score was an independent prognostic factor for overall survival (OS). Functional analysis showed that differentially expressed genes (DEGs) between the low- and high-risk groups were enriched in mitosis and the cell cycle pathway. In addition, the five-gene signature was associated with innate immune cell infiltration, immune subtypes, and tumor stemness. A novel OXPHOS-associated gene signature can be used for prognostic prediction for patients with HCC.

Project description:Background:The prognosis of hepatocellular carcinoma (HCC) patients remains poor. Identifying prognostic markers to stratify HCC patients might help to improve their outcomes. Methods:Six gene expression profiles (GSE121248, GSE84402, GSE65372, GSE51401, GSE45267 and GSE14520) were obtained for differentially expressed genes (DEGs) analysis between HCC tissues and non-tumor tissues. To identify the prognostic genes and establish risk score model, univariable Cox regression survival analysis and Lasso-penalized Cox regression analysis were performed based on the integrated DEGs by robust rank aggregation method. Then Kaplan-Meier and time-dependent receiver operating characteristic (ROC) curves were generated to validate the prognostic performance of risk score in training datasets and validation datasets. Multivariable Cox regression analysis was used to identify independent prognostic factors in liver cancer. A prognostic nomogram was constructed based on The Cancer Genome Atlas (TCGA) dataset. Finally, the correlation between DNA methylation and prognosis-related genes was analyzed. Results:A twelve-gene signature including SPP1, KIF20A, HMMR, TPX2, LAPTM4B, TTK, MAGEA6, ANX10, LECT2, CYP2C9, RDH16 and LCAT was identified, and risk score was calculated by corresponding coefficients. The risk score model showed a strong diagnosis performance to distinguish HCC from normal samples. The HCC patients were stratified into high-risk and low-risk group based on the cutoff value of risk score. The Kaplan-Meier survival curves revealed significantly favorable overall survival in groups with lower risk score (P?<?0.0001). Time-dependent ROC analysis showed well prognostic performance of the twelve-gene signature, which was comparable or superior to AJCC stage at predicting 1-, 3-, and 5-year overall survival. In addition, the twelve-gene signature was independent with other clinical factors and performed better in predicting overall survival after combining with age and AJCC stage by nomogram. Moreover, most of the prognostic twelve genes were negatively correlated with DNA methylation in HCC tissues, which SPP1 and LCAT were identified as the DNA methylation-driven genes. Conclusions:We identified a twelve-gene signature as a robust marker with great potential for clinical application in risk stratification and overall survival prediction in HCC patients.

Dataset Information

Combined cancer testis antigens enhanced prediction accuracy for prognosis of patients with hepatocellular carcinoma.

Publications

Combined cancer testis antigens enhanced prediction accuracy for prognosis of patients with hepatocellular carcinoma.

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