Dataset Information

Differences in the prognostic value of tumor size on hepatocellular cancer-specific survival stratified by gender in a SEER population-based study.

ABSTRACT:

Background and objective

Tumor size is an important prognostic factor in cancers. This study aims at investigating the interaction between gender status and tumor size to evaluate cancer-specific survival (CSS) in hepatocellular carcinoma (HCC).

Methods

In this study, we searched Surveillance, Epidemiology, and End Results (SEER) population-based data and identified 38,368 patients diagnosed with HCC between 1988 and 2012. Patients diagnosed between 1998 and 2007 were distributed into a training set (n?=?19279), and the rest were assigned as a SEER validation set (n?=?19089). Definition of cut-off value of tumor size stratified by gender was determined by the "X-Tile" program. The five-year CSS data were found. Long-term survival outcomes and risk factors were analyzed by the Kaplan-Meier methods and the multivariable Cox regression models.

Results

There were significant differences among these different tumor size subgroups with regards to five-year CSS (p?p?p?ConclusionsThese results demonstrated that women with HCC appeared to exhibit better survival rates than men. The sex-related discrepancies should be emphasized, particularly for HCC patients with 39 to 75?mm tumors.

SUBMITTER: Zhang W

PROVIDER: S-EPMC6683637 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Publications

Differences in the prognostic value of tumor size on hepatocellular cancer-specific survival stratified by gender in a SEER population-based study.

Zhang Wenjie W Jin Kangpeng K Wang Fei F Zhangyuan Guangyan G Yu Weiwei W Liu Yang Y Zhang Haitian H Zhang Ping P Sun Beicheng B

United European gastroenterology journal 20190424 7

<h4>Background and objective</h4>Tumor size is an important prognostic factor in cancers. This study aims at investigating the interaction between gender status and tumor size to evaluate cancer-specific survival (CSS) in hepatocellular carcinoma (HCC).<h4>Methods</h4>In this study, we searched Surveillance, Epidemiology, and End Results (SEER) population-based data and identified 38,368 patients diagnosed with HCC between 1988 and 2012. Patients diagnosed between 1998 and 2007 were distributed ...[more]

PMID: 31428418

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Project description:BackgroundHepatocellular carcinoma (HCC) was the sixth common malignancies characteristic with highly aggressive in the world. It was well established that tumor mutation burden (TMB) act as indicator of immunotherapeutic responsiveness in various tumors. However, the role of TMB in tumor immune microenvironment (TIME) is still obscure.MethodThe mutation data was analyzed by employing "maftools" package. Weighted gene co-expression network analysis (WGCNA) was implemented to determine candidate module and significant genes correlated with TMB value. Differential analysis was performed between different level of TMB subgroups employing R package "limma". Gene ontology (GO) enrichment analysis was implemented with "clusterProfiler", "enrichplot" and "ggplot2" packages. Then risk score signature was developed by systematical bioinformatics analyses. K-M survival curves and receiver operating characteristic (ROC) plot were further analyzed for prognostic validity. To depict comprehensive context of TIME, XCELL, TIMER, QUANTISEQ, MCPcounter, EPIC, CIBERSORT, and CIBERSORT-ABS algorithm were employed. Additionally, the potential role of risk score on immune checkpoint blockade (ICB) immunotherapy was further explored. The quantitative real-time polymerase chain reaction was performed to detect expression of HTRA3.ResultsTMB value was positively correlated with older age, male gender and early T status. A total of 75 intersection genes between TMB-related genes and differentially expressed genes (DEGs) were screened and enriched in extracellular matrix-relevant pathways. Risk score based on three hub genes significantly affected overall survival (OS) time, infiltration of immune cells, and ICB-related hub targets. The prognostic performance of risks score was validated in the external testing group. Risk-clinical nomogram was constructed for clinical application. HTRA3 was demonstrated to be a prognostic factor in HCC in further exploration. Finally, mutation of TP53 was correlated with risk score and do not interfere with risk score-based prognostic prediction.ConclusionCollectively, a comprehensive analysis of TMB might provide novel insights into mutation-driven mechanism of tumorigenesis further contribute to tailored immunotherapy and prognosis prediction of HCC.

Dataset Information

Differences in the prognostic value of tumor size on hepatocellular cancer-specific survival stratified by gender in a SEER population-based study.

Background and objective

Methods

Results

Publications

Differences in the prognostic value of tumor size on hepatocellular cancer-specific survival stratified by gender in a SEER population-based study.

Similar Datasets

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