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Morzaev-Sulzbach, D.

Publications and source records attributed to Morzaev-Sulzbach, D..

2 recordsLinked to original sources

Cancer-associated fibroblasts serve as decoys to suppress NK cell anti-cancer cytotoxicity

Cancer associated fibroblasts (CAFs) are among the most abundant components of the breast tumor microenvironment (TME) and major contributors to immune modulation. CAFs are well-known to regulate the activity of diverse types of immune cells including T cells, macrophages and dendritic cells, however little is known about their interaction with Natural killer (NK) cells, which constitute an important arm of anti-tumor immunity. Here we find, using mouse models of cancer and ex-vivo co-cultures, that CAFs inhibit NK cell cytotoxicity towards cancer cells. We unravel the mechanism by which this suppression occurs, through ligand-receptor engagement between NK cells and CAFs leading to CAF cytolysis, which in turn diminishes the expression of activating receptors on NK cells, promoting cancer escape from NK cell surveillance. Analysis of breast cancer patient samples reveals enrichment of NK cells in CAF-rich regions, and upregulation of NK binding ligands on CAFs which is correlated with poor disease outcome. These results reveal a CAF-mediated immunosuppressive decoy mechanism with implications for treatment of solid tumors.

cancer biology↗

Chemoresistome Mapping in Individual Breast Cancer Patients Unravels Diversity in Dynamic Transcriptional Adaptation

Emerging evidence reinforce the role of non-genetic adaptive resistance to chemotherapy, that involves rewiring of transcriptional programs in surviving tumors. We combined longitudinal transcriptomics with temporal pattern analysis to dissect patient-specific emergence of resistance in breast cancer. Matched triplets of tumor biopsies (pre-treatment, post-treatment and adjacent normal) were collected from breast cancer patients who received neo-adjuvant chemotherapy. Full transcriptome was analyzed by longitudinal pattern classification to follow patient-specific expression modulations. We found that dynamics of gene expression dictates resistance-related modulations. The results unraveled important principles in emergence of adaptive resistance: 1. Genes with resistance patterns are already dysregulated in the primary tumor, supporting a primed drug-tolerant state. 2. In each patient, multiple resistance-related genes are rewired but converge into few dysregulated modules. 3. Rewiring of diverse genes and pathway dysregulation vary among individuals who receive the same treatments. Patient-specific chemoresistome maps disclosed tumors acquired resistance and exposed their vulnerabilities. Mapping the complexity of dysregulated pathways in individual patients revealed important insights on adaptive resistance mechanisms. To survive the toxic drug effect, tumor cells either sustain a drug-tolerant state or intensify it, specifically bypassing the drugs interference. Depicting an individual road map to resistance can offer personalized therapeutic strategies.

cancer biology↗