MorphoITH: a framework for deconvolving intra-tumor heterogeneity using tissue morphology
MorphoITH provides a scalable and rigorous approach to quantify morphological ITH, serving as a potential proxy for underlying genetic ITH and tumor evolution. By linking histopathology with genomic insights, it lays the foundation for more refined phenotypic profiling in support of precision oncology.
Authors
- Hafez Eslami Manoochehri
- Vipul Jarmale (ORCID: https://orcid.org/0000-0001-6911-0898)
- Dinesh Rakheja (ORCID: https://orcid.org/0000-0001-6888-7902)
- Mehrdad Nourani (ORCID: https://orcid.org/0000-0001-5077-4424)
- Jay Jasti
- James Brugarolas (ORCID: https://orcid.org/0000-0002-8575-499X)
- Anne L. Nielsen (ORCID: https://orcid.org/0000-0002-8384-1360)
- Payal Kapur (ORCID: https://orcid.org/0000-0002-4239-0495)
- Satwik Rajaram (ORCID: https://orcid.org/0000-0001-8242-4402)
- Vandana Panwar
- Hua Zhong
Institutions
- The University of Texas at Dallas (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Genome Medicine
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1186/s13073-025-01504-x
- Citations
- 4
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 3.75
Funders
- Cancer Prevention and Research Institute of Texas
- National Institutes of Health