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Cancer research

Researchers Develop New Approach to Identify Carcinogenic Gene Combinations

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— 1 min read

A team of researchers from Oak Ridge National Laboratory has developed a new method to identify carcinogenic gene combinations using genome data from cancer patients. The approach, published in the journal BMC Bioinformatics, leverages the intrinsic topology of gene-patient mutations to identify potentially carcinogenic combinations. According to the research, the new method is able to find higher-hit carcinogenic combinations in a fraction of the time required by traditional exhaustive search.

Key Takeaways:

  • The researchers used a graph-based approach, Bigpicc, to identify carcinogenic gene combinations from mutation data.
  • The method leverages the intrinsic topology of gene-patient mutations to identify potentially carcinogenic combinations.
  • The approach was able to identify carcinogenic combinations with an average of 80.1% sensitivity and 91.6% specificity.
  • The method is able to find higher-hit carcinogenic combinations in a fraction of the time required by traditional exhaustive search.
  • The research was conducted by Vladyslav Oles, Sajal Dash, and Ramu Anandakrishnan at Oak Ridge National Laboratory.
  • The study analyzed genome data from cancer patients to identify relationships between gene mutations and cancer occurrence.

Statistics:

  • The researchers analyzed 16 different cancer types using the Bigpicc approach.
  • The approach was able to identify carcinogenic combinations with an average of 80.1% sensitivity and 91.6% specificity.
  • The method took a fraction of the time required by traditional exhaustive search to identify carcinogenic combinations.
  • The research was published in the journal BMC Bioinformatics.
  • The article is available online at https://doi-org.sdpl.idm.oclc.org/10.1186/s12859-025-06043-1.

Sources:

  • Oak Ridge National Laboratory: Bigpicc: a graph-based approach to identifying carcinogenic gene combinations from mutation data BMC Bioinformatics, 2025,26(1):1-18. (BMC Bioinformatics - http://www.biomedcentral.com/bmcbioinformatics/).
  • NewsRx: Reports from Oak Ridge National Laboratory Add New Study Findings to Research in Cancer (Bigpicc: a graph-based approach to identifying carcinogenic gene combinations from mutation data). Cancer Weekly. June 24, 2025; p 39.

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