Detecting clinically relevant topological structures in multiplexed spatial proteomics using TopKAT

By afschroeder • January 27, 2026

Samorodnitsky S, Campbell K, Little A, Ling W, Zhao N, Chen YC, Wu MC. Detecting clinically relevant topological structures in multiplexed spatial proteomics using TopKAT. Patterns (N Y). 2026 Jan 9;7(1):101456. doi: 10.1016/j.patter.2025.101456. PMID: 41583981; PMCID: PMC12827733.

Tags: cell-level imaging, Hematology/Oncology, kernel association testing, kernel machine regression, multiplexed spatial proteomics, persistent homology, Publications, topological data analysis, tumor microenvironment

cfDNA derived gene signatures as surrogate for microvascular invasion in HCC

Gong R, Wang L, Xue D, Cai J, Jiang Y, Huang J, Zhu J, Li Z, Ke A, Shi G, Wang J, Wang W, Zheng[...]

Utilizing machine learning to identify multimodal signatures for patients who would benefit from the addition of tremelimumab to durvalumab and chemotherapy (TRIDENT)

Skoulidis F, Jabbour SK, Garon EB, Iyengar P, Scagliotti G, Ferrer L, Etchepare G, Gallinato O, Faure J, Bernard P, Colin T, Menu P, Lin[...]

Threading the Needle in Bladder Cancer: A Narrative Review of the Emerging Role of Integrative Oncology in Treatment-Related Adverse Events in the Era of Immunotherapy and Antibody-Drug Conjugates

Niknafs AM, Damron LF, Baclig NV, Iliopoulos M, Drakaki A. Threading the Needle in Bladder Cancer: A Narrative Review of the Emerging Role of Integrative[...]