Analyzing patterns of mutations in cancer DNA

Statistical methods for cancer mutational signatures

NIH-funded research Dana-Farber Cancer Inst · NIH-10912605

This study is looking at how changes in cancer cell DNA happen and how they can be influenced by things like harmful substances and natural selection, with the goal of creating easy-to-use software that helps scientists better understand these changes in cancer, especially for those studying multiple myeloma.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionDana-Farber Cancer Inst NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-10912605 on NIH RePORTER

What this research studies

This research focuses on understanding the unique patterns of mutations found in cancer cells' DNA, which can be influenced by carcinogens and evolutionary pressures. By developing advanced statistical models, the project aims to enhance the analysis of mutational signatures, allowing for more accurate interpretations of cancer data. The researchers will create a user-friendly software package that enables scientists to apply these methods in their own studies, facilitating better insights into cancer genomics. This work is closely linked to ongoing efforts in the Dana Farber multiple myeloma genomics program, ensuring that the findings are relevant and applicable to current cancer research.

Who could benefit from this research

Good fit: Ideal candidates for this research are patients with various types of cancer, particularly those involved in genomic studies related to mutational signatures.

Not a fit: Patients with non-cancerous conditions or those not participating in genomic studies may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to improved understanding of cancer mutations, potentially guiding more effective treatments and prevention strategies.

How similar studies have performed: Previous research has shown promise in using statistical models for mutational analysis, indicating that this approach could yield significant advancements in cancer research.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.