Sign in
Cancer BiologybioRxiv

THER: Integrative Web Tool for Tumor Hypoxia Exploration and Research

Yasi Zhang, Huiying Liu, Pengpeng ZhangiD, BiCheng YeiD, Haoxuan YingiD, Hong Yang, Jian Zhang, Nan Zhang, Kailai LiiD, Ting WeiiD, Aimin JiangiD, Anqi LiniD, Peng LuoiD

Abstract

Hypoxia is an important factor in the adaptation of tumor cells to their environment, contributes to their malignant progression, and affects tumor prognosis and drug sensitivity. Although there is a wealth of transcriptomic data stored in public databases, there is a lack of web-based tools for analyzing these data to explore the link between hypoxia and the mechanisms of tumorigenesis and progression. To this end, we have developed an interactive web-based tool called THER, which is designed to help users easily identify potential targets, mechanisms of action and effective drugs for treating hypoxic tumors. THER integrates 63 transcriptomic tumor hypoxia datasets from the Gene Expression Omnibus (GEO) database, covering 3 species, 18 tumor types and 42 cell line types. This web tool provides five modules that allow users to perform differential expression analysis, expression profiling analysis, correlation analysis, enrichment analysis and drug sensitivity analysis on different datasets based on different oxygen statuses. We expect that users will be able to use the tool to identify valuable biomarkers, further reveal the molecular mechanisms of tumor hypoxia, and identify effective drugs, thus providing a scientific basis for tumor diagnosis and treatment. THER is open to all users and can be accessed without login at https://smuonco.shinyapps.io/THER/.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISYang '18Puente-Sant '22Nagy '25Vitos '19Bae '23Liu '22
63% semantic matchCancer Biology
Lingjian Yang, Laura Forker, Christina S. Fjeldbo+3 more·bioRxiv·Aug 29, 2018