This work presents a nondestructive, single-cell approach combining Raman spectroscopy and machine learning that enables rapid cell profiling and therapeutic response prediction and may improve first- and second-line therapy selection assessments for precision medicine.
Kai Chang, Mamatha Serasanambati, Baba Ogunlade et al.· JCO Precision Oncology· 0 citations
A systematic meta-analysis of all publicly available single cell RNA sequencing datasets of all human sarcomas reveals shared molecular programs across subtypes, establishing a foundational resource for identifying conserved transcriptional programs across sarcomas, with implications for future mechanistic studies and...
Maria Korah, J. Agolia, R. Flojo et al.· Cancer Research· 0 citations
Immune checkpoint blockade (ICB) has transformed melanoma care, yet resistance is common and often driven by tumor-associated macrophages (TAMs). AXL, a Gas6-activated tyrosine kinase, is classically a tumor-intrinsic driver of invasion but is predominantly expressed by TAMs in melanoma, suggesting a role in regu...
Amanda R. Kirane, David Lee, Saurabh Sharma et al.· Journal of Immunology· 0 citations
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