Personalized treatment matching for breast cancer using tumor genetics

Matching genotypes with personalized therapies: Development of a decision support infrastructure to augment the value of precision medicine

NIH-funded research Johns Hopkins University · NIH-11145639

Researchers will create and try out a computer tool that matches tumor genetics with targeted treatments for people with breast cancer.

Quick facts

Grant typeU01 cooperative agreement
Study typeNIH-funded research
Funding institutionJohns Hopkins University NIH-funded
Lab location1 site (Baltimore, United States)
Project IDNIH-11145639 on NIH RePORTER

What this research studies

You would have your tumor sequencing results processed by an automated decision-support system that links genetic findings to possible targeted therapies. The project combines genomic data with your clinical records to prioritize actionable mutations and reduce time-consuming manual searches. The team will pilot the tool at the Johns Hopkins Molecular Tumor Board, in partnering community medical centers, and within two ongoing clinical trials for women with breast cancer. If you receive care at a participating site, the system could help clinicians find targeted treatment options based on your tumor's genetics.

Who could benefit from this research

Good fit: Ideal candidates are people with breast cancer who have had or will have tumor genomic (next-generation sequencing) testing and who receive care at participating Johns Hopkins or partner sites or are enrolled in the linked clinical trials.

Not a fit: People without tumor genomic testing, with cancers other than breast cancer, or whose tumors lack actionable genetic changes may not directly benefit from this tool.

Why it matters

Potential benefit: If successful, this could help clinicians find effective targeted therapies faster and more accurately for patients with breast cancer.

How similar studies have performed: Other programs have helped clinicians interpret tumor genomics and suggest treatments, but fully automated, scalable systems integrated across clinical sites are still emerging.

Where this research is happening

Baltimore, 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.
Conditions Breast CancerBreast Cancer PatientCancer BiologyCancer PatientCancers
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.