4.5 Article

OSchol: an online consensus survival web server for cholangiocarcinoma prognosis analysis

期刊

HPB
卷 23, 期 4, 页码 545-550

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.hpb.2020.08.011

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资金

  1. National Natural Science Foundation of China [81602362]
  2. Supporting grants of Henan University [2015YBZR048, B2015151, 2019YLXKJC04]
  3. Yellow River Scholar Program [H2016012]
  4. Program for Innovative Talents of Science and Technology in Henan Province [18HASTIT048]
  5. Program for Science and Technology Development in Henan Province [162102310391, 192102310350, 192102310379]
  6. Program for Young Key Teacher of Henan Province [2016GGJS-214]
  7. Kaifeng Science and Technology Major Project [18ZD008]
  8. Bioinformatics Center of Henan University [2018YLJC01]
  9. Innovation Project for College Students of Henan University [202010475099, 202010475088]

向作者/读者索取更多资源

This study established an online prognostic analysis web server named OSchol to evaluate the correlation between candidate genes and survival for cholangiocarcinoma (CHOL). It validated the prognostic values of known biomarkers like ITIH4, PTEN and DACH1, and identified E2F1 as a potential novel prognostic biomarker for CHOL. The study provides a platform for researchers and clinicians to screen, develop and validate genes of interest as potential prognostic biomarkers for CHOL.
Background: As the most common biliary ducts, cholangiocarcinoma (CHOL) is an aggressive malignancy with complex pathological context, high mortality and relapse rate. The current therapy of CHOL is mainly performed with surgery followed by chemoradiotherapy. Due to the high metastasis and relapse rate of CHOL, the prognosis of CHOL is still poor, and the molecular prognostic system is to be constructed. Methods: In this study, we have established an online prognostic analysis web server named OSchol to evaluate the correlation between candidate genes and survival for CHOL. Results: The prognostic values of previous published biomarkers in OSchol, including ITIH4, PTEN and DACH1, have been validated by OSchol. In addition, we have identified novel potential prognostic biomarker for CHOL using OSchol, that E2F1 has significant prognostic ability in OSchol (both TCGA and GSE107943 cohorts). Conclusion: Our study provides a platform for researchers and clinicians to screen, develop and validate their genes of interest to be potential prognostic biomarkers for CHOL and may also help guide the targeted therapies for CHOL.

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