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Related Concept Videos

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Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Related Experiment Video

Updated: Aug 29, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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OncoPubMiner: a platform for mining oncology publications.

Quan Xu1, Yueyue Liu1,2, Jifang Hu1,3,4

  • 1ChosenMed Technology (Beijing) Company Limited, Jinghai Industrial Park, Economic and Technological Development Area, Beijing 100176, China.

Briefings in Bioinformatics
|September 4, 2022
PubMed
Summary

OncoPubMiner is a new platform for efficiently mining oncology publications. It helps researchers build knowledge bases for precision oncology decision-making.

Keywords:
form customisationknowledge baseoncology publication miningone-stop workflowprecision oncologyteam-based curation

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Area of Science:

  • Biomedical research
  • Computational biology
  • Oncology

Background:

  • High-quality knowledge bases are crucial for biomedical research and clinical decision-making.
  • The rapid growth in precision oncology publications necessitates efficient data mining tools.

Purpose of the Study:

  • To introduce OncoPubMiner, a comprehensive platform for extracting knowledge from oncology literature.
  • To facilitate the development of structured knowledge bases for precision oncology.

Main Methods:

  • Integrated open-access PubMed abstracts and full-text articles from PubMed Central.
  • Developed a system combining text mining, data customization, and publication search.
  • Enabled project-centered and team-based data collection.

Main Results:

  • OncoPubMiner provides a one-stop solution for oncology publication mining.
  • The platform is updated daily, ensuring access to the latest information.
  • It simplifies the process of obtaining precision oncology knowledge.

Conclusions:

  • OncoPubMiner streamlines knowledge acquisition from scientific articles.
  • The tool supports researchers in building structured knowledge bases.
  • It advances the goals of precision oncology.