- Fields
Genetics
- Topics
breast cancer
metastasis
machine learning
- Grants
- 4 known grants, through Jul 2030
What they work on
- Identify the molecular determinants of organ-specific metastasis in breast cancer.
- Characterize the interaction between established tumors and their local microenvironment.
- Utilize machine learning to analyze complex datasets of human and mouse models.
- Uncover critical crosstalk that sustains tumor growth in metastatic sites.
- Develop potential therapeutic interventions based on research findings.
More about the research
Perou's lab at the University of North Carolina Chapel Hill focuses on understanding how breast cancer cells spread to different organs in the body. By studying the molecular and cellular mechanisms involved in this process, particularly in various subtypes of breast cancer, the lab aims to identify why certain tumors prefer to metastasize to certain organs. The research combines data from human samples and mouse models with advanced techniques to uncover potential new treatments for metastatic breast cancer.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Benjamin Spike
University of Utah, UT·Biology
Track how CRIPTO (CR1) drives cell state changes at different stages of breast cancer metastasis, using mouse transplant models with patient-derived cancer cells, bioengineered systems and single-cell RNA sequencing.
Rebecca Aft
Washington University in St Louis, MO·Medicine & Clinical Research
Evaluate whether an 8-gene bone marrow test for disseminated tumor cells predicts distant metastasis in TNBC patients treated with carboplatin, paclitaxel and nivolumab, with or without cabiralizumab, in a phase II trial.
Sanchita Bhatnagar
University of California-Davis, CA·Medicine & Clinical Research
Screen TRIM37 gene variants already identified in African American women for anoikis resistance, the ability of cancer cells to survive after detaching, and compare how risk and reference alleles of TRIM37 behave biologically.
The school
University of North Carolina at Chapel Hill: 72 labs on PI Pages, $1.6B a year on research, 523 research doctorates a year.
Reach out
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