Dataset Information

JNK1 activation predicts the prognostic outcome of the human hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide with an extremely poor prognosis. The classification of HCC based on the molecular signature is not well-established.

Results

In the present study, we reported HCC signature genes based on the JNK1 activation status in 31 HCC specimens relative to the matched distal noncancerous liver tissue from 31 patients. The HCCs with high JNK1 (H-JNK1) and low JNK1 (L-JNK1) were sub-grouped. Two different signature gene sets for both H-JNK1 and L-JNK1 HCC were identified through gene expression profiling. A striking overlap of signature genes was observed between the H-JNK1 HCC and the hepatoblastoma or hepatoblastoma-type HCC. Many established biomarkers for hepatic progenitor cells were over-expressed in H-JNK1 HCC, including AFP, TACSTD1, KRT19, KRT7, THY1, and PROM1. In addition, the majority of the most up-regulated genes were those associated with metastasis and earlier recurrence, whereas the genes for normal liver function were substantially down-regulated in H-JNK1 HCC tissue. A Kaplan-Meier plot demonstrated that the survival of the patients with H-JNK1 HCC was severely impaired.

Conclusion

Accordingly, we believe that the H-JNK1 HCC may originate from hepatic progenitor cells and is associated with poorer prognosis. The status of JNK1 activation in HCC tissue, thus, might be a new biomarker for HCC prognosis and therapeutic targeting.

SUBMITTER: Chang Q

PROVIDER: S-EPMC2732591 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

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Publications

JNK1 activation predicts the prognostic outcome of the human hepatocellular carcinoma.

Chang Qingshan Q Chen Jianguo J Beezhold Kevin J KJ Castranova Vince V Shi Xianglin X Chen Fei F

Molecular cancer 20090817

<h4>Background</h4>Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide with an extremely poor prognosis. The classification of HCC based on the molecular signature is not well-established.<h4>Results</h4>In the present study, we reported HCC signature genes based on the JNK1 activation status in 31 HCC specimens relative to the matched distal noncancerous liver tissue from 31 patients. The HCCs with high JNK1 (H-JNK1) and low JNK1 (L-JNK1) were sub-grouped. Two different s ...[more]

PMID: 19686584

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Project description:Transarterial chemoembolization (TACE) is the mainstay of treatment for patients with intermediate/advanced stage or unresectable hepatocellular carcinoma (HCC). Despite the palliative nature of TACE treatment, embolizing the tumor feeding vessels and leading to progressive tumor necrosis, complete response (CR) after TACE could still be observed in a certain population. Thus, this study aimed to investigate both the predictors for CR and the long-term prognosis of the patients with CR after TACE. The study recruited new diagnosed HCC patients initially treated with TACE from 2010 to 2013. Post TACE response was assessed by scheduled image studies according to the modified Response Evaluation Criteria in Solid Tumors (mRECIST). Then, pre-TACE factors were compared between patients with and without CR. After the first session of TACE, 22.3% of the 669 TACE treated patients achieved CR. During a median of 26.6 months follow-up, patients with CR had better overall survival than those without (median: 35.8 vs. 24.0 months, P<0.001). By multivariate logistic regression analysis, Child-Turcotte-Pugh class B (OR: 0.419, P=0.005), tumor burden beyond up-to-7 criteria (OR: 0.118, P<0.001), bilobar tumor extent (OR: 0.236, P<0.001), higher alpha-fetoprotein (AFP) level (≥20 ng/ml, OR: 0.614, P=0.039) and higher platelet counts (>150 k/μl, OR: 0.482, P=0.002) were unfavorable predictors for CR after first TACE. In addition, macrovascular invasion (HR: 3.113, P=0.001) and higher AFP levels (≥15 ng/ml, HR: 2.601, P=0.007) were predictors for early HCC recurrence whereas diabetes mellitus (DM) (HR: 2.166, P=0.006) was the only significant predictor for late HCC recurrence in CR patients. In conclusion, more than one-fifth of HCC patients achieved CR after first TACE and these patients had favorable prognosis. Furthermore, tailored post-TACE follow-up strategies shall be considered in patients with different risk factors of early or late recurrence after CR.

Project description:Background: The prognosis of patients with hepatocellular carcinoma (HCC) is negatively affected by the lack of effective prognostic indicators. The change of tumor immune microenvironment promotes the development of HCC. This study explored new markers and predicted the prognosis of HCC patients by systematically analyzing immune characteristic genes. Methods: Immune-related genes were obtained, and the differentially expressed immune genes (DEIGs) between tumor and para-cancer samples were identified and analyzed using gene expression profiles from TCGA, HCCDB, and GEO databases. An immune prognosis model was also constructed to evaluate the predictive performance in different cohorts. The high and low groups were divided based on the risk score of the model, and different algorithms were used to evaluate the tumor immune infiltration cell (TIIC). The expression and prognosis of core genes in pan-cancer cohorts were analyzed, and gene enrichment analysis was performed using clusterProfiler. Finally, the expression of the hub genes of the model was validated by clinical samples. Results: Based on the analysis of 730 immune-related genes, we identified 64 common DEIGs. These genes were enriched in the tumor immunologic related signaling pathways. The first 15 genes were selected using RankAggreg analysis, and all the genes showed a consistent expression trend across multi-cohorts. Based on lasso cox regression analysis, a 5-gene signature risk model (ATG10, IL18RAP, PRKCD, SLC11A1, and SPP1) was constructed. The signature has strong robustness and can stabilize different cohorts (TCGA-LIHC, HCCDB18, and GSE14520). Compared with other existing models, our model has better performance. CIBERSORT was used to assess the landscape maps of 22 types of immune cells in TCGA, GSE14520, and HCCDB18 cohorts, and found a consistent trend in the distribution of TIIC. In the high-risk score group, scores of Macrophages M1, Mast cell resting, and T cells CD8 were significantly lower than those of the low-risk score group. Different immune expression characteristics, lead to the different prognosis. Western blot demonstrated that ATG10, PRKCD, and SPP1 were highly expressed in cancer tissues, while IL18RAP and SLC11A1 expression in cancer tissues was lower. In addition, IL18RAP has a highly positive correlation with B cell, macrophage, Neutrophil, Dendritic cell, CD8 cell, and CD4 cell. The SPP1, PRKCD, and SLC11A1 genes have the strongest correlation with macrophages. The expression of ATG10, IL18RAP, PRKCD, SLC11A1, and SPP1 genes varies among different immune subtypes and between different T stages. Conclusion: The 5-immu-gene signature constructed in this study could be utilized as a new prognostic marker for patients with HCC.

Dataset Information

JNK1 activation predicts the prognostic outcome of the human hepatocellular carcinoma.

Background

Results

Conclusion

Publications

JNK1 activation predicts the prognostic outcome of the human hepatocellular carcinoma.

Similar Datasets

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