Tissue Microarray-Based Digital Spatial Profiling of Benign Breast Lobules and Breast Cancers: Feasibility, Biological Coherence, and Cross-Platform Benchmarks
TMA-based DSP is feasible in archival breast tissues and yields biologically coherent, cross-platform-benchmarked profiles that are particularly robust in BC, while conserving scarce TDLUS and clarifying current limits of single-marker risk stratification from benign lobules. These data provide a foundation for refined sampling and expanded panels in future TDLU-focused studies.
Authors
- Laura M. Pacheco-Spann (ORCID: https://orcid.org/0000-0002-6531-8840)
- Jodi M. Carter (ORCID: https://orcid.org/0000-0002-5973-0732)
- Mark E. Sherman (ORCID: https://orcid.org/0000-0002-9222-8808)
- Amy C. Degnim (ORCID: https://orcid.org/0000-0002-2303-4946)
- Robert A. Vierkant (ORCID: https://orcid.org/0000-0001-6242-5221)
- Stacey J. Winham (ORCID: https://orcid.org/0000-0002-8492-9102)
- E. Aubrey Thompson (ORCID: https://orcid.org/0000-0002-9001-4240)
- Matthew R. Jensen (ORCID: https://orcid.org/0009-0005-0721-9296)
- Derek C. Radisky (ORCID: https://orcid.org/0000-0002-1962-8784)
- Ji Shi (ORCID: https://orcid.org/0009-0001-9696-8627)
- Melissa A. Troester (ORCID: https://orcid.org/0000-0001-9506-6624)
- Celine M. Vachon
- Jennifer M. Kachergus
- Melody Stallings‐Mann (ORCID: https://orcid.org/0000-0003-3227-6063)
- Chen Wang (ORCID: https://orcid.org/0000-0003-2638-3081)
Institutions
- University of North Carolina at Chapel Hill (US)
- University of Alberta (CA)
- Jacksonville College (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Cancers
- Published
- 2025-11-27
- DOI
- https://doi.org/10.3390/cancers17233797
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00