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Related Experiment Video

Updated: Aug 12, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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A comprehensive tool for tumor precision medicine with pharmaco-omics data analysis.

Yijun Liu1, Fuhu Song1, Zhi Li2

  • 1School of Artificial Intelligence, Jilin University, Changchun, China.

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|January 30, 2023
PubMed
Summary

This study introduces DBPOM, a novel web server for cancer precision medicine. It predicts drug efficacy and toxicity by integrating genomics and drug response data, aiding personalized cancer treatment strategies.

Keywords:
adverse effectcancer precision medicinedrug efficacymapping from cell to tissueweb server

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Area of Science:

  • Genomics
  • Pharmacology
  • Bioinformatics

Background:

  • Cancer precision medicine integrates genomics and drug discovery for tailored patient treatments.
  • Existing drug response databases often overlook patient-specific effects and drug toxicity.
  • Adverse drug effects are critical for safety assessment but are frequently neglected in current models.

Purpose of the Study:

  • To develop a holistic estimation of drug efficacy and toxicity for cancer precision medicine.
  • To bridge the gap between cell line data and individual patient responses using genetic similarities.
  • To create a comprehensive, user-friendly web server for analyzing drug effects in cancer.

Main Methods:

  • Calculating drug potency in reversing/enhancing cancer-associated gene expression changes.
  • Mapping cell lines to individual patients based on genetic mutation similarities for personalized effectiveness prediction.
  • Integrating efficacy and toxicity predictions for FDA-recommended cancer drugs.

Main Results:

  • Consistent predictions of drug efficacy and toxicity were obtained for FDA-recommended drugs.
  • The DBPOM web server (http://www.dbpom.net/) was developed, offering integrated analysis of over 10,000 compounds.
  • DBPOM provides a platform for analyzing drug/drug combination effects and targeted biological functions.

Conclusions:

  • Considering both positive and negative drug effects is crucial for practical cancer precision medicine.
  • DBPOM serves as a vital resource for drug development, mechanism studies, and novel therapy discovery.
  • The web server facilitates analysis for clinicians and researchers, advancing personalized cancer care.