Search bioRxiv⌕ Search

Biology subjects

Rastad, H.

Publications and source records attributed to Rastad, H..

2 recordsLinked to original sources

Spatial and Single-Cell Dissection of Fibroblast Subpopulation Reprogramming Driving Stromal Collapse in Breast Cancer Lymph Node Metastasis

ObjectiveThis study aimed to define conserved molecular drivers of breast cancer lymph node metastasis (LNM) through an unbiased, multi-omics approach, resolving spatial and cellular mechanisms of stromal reprogramming. MethodsWe integrated three bulk RNA-seq datasets (GSE110590, GSE193103, GSE209998) to identify differentially expressed genes (DEGs) in LNMs versus primary tumors. Tissue-specific genes were excluded where possible. Single-cell (scRNA-seq; GSE225600) and spatial transcriptomics (Visium) from primary/metastatic tissues were analyzed using Seurat and spacexr. Fibroblast subclusters were isolated for functional enrichment. Clinical validation included genetic alteration profiling (cBioPortal), survival analysis (KM Plotter), and stage-specific expression dynamics (TNMplot). Therapeutic candidates were screened via CTD. FindingsBulk RNA-seq identified three genes consistently downregulated in lymph node metastases compared to primary tumors: MAB21L1, F2RL2, and COL6A6 (log2FC [&le;] -2.62; adj. p < 0.05). Single-cell RNA-seq analysis revealed that all three DEGs converged exclusively within specific fibroblast subpopulations in primary tumors; these DEGs were not enriched in other cell types. DEG-expressing fibroblasts orchestrated complementary protective barriers: F2RL2+ fibroblasts mediated immune crosstalk (via CXCL14, C1S) and TGF-{beta} balance; COL6A6+ fibroblasts reinforced ECM structure (COL6A6/COL6A3) and inhibited Wnt signaling (SFRP2); MAB21L1+ fibroblasts suppressed SMAD signaling (through NR2F1 upregulation) and blocked cell migration. Metastatic niches exhibited significant depletion of protective fibroblast subpopulations (F2RL2+: reduced from 1.9% to 0.1%; COL6A6+: reduced from 3.1% to 1.3%); this depletion coincided with ECM dissolution and disrupted spatial coordination of immune markers (proximity-dependent HLA-DRA/CXCL9 expression). High expression of these DEGs correlated with improved recurrence-free survival (e.g., COL6A6: HR = 0.19, p = 0.002); genomic deletions of the DEGs were significantly more frequent in metastases versus primary tumors (e.g., MAB21L1 deep deletion: 9.13% vs. 0.57%). ConclusionAn unbiased transcriptomic approach revealed specialized fibroblast subpopulations as central gatekeepers against LNM via ECM, immune, and signaling barriers. Their erosion drives stromal collapse in metastasis. Epigenetic modulators (Valproic Acid, Vorinostat) were prioritized for therapeutic restoration of suppressive stroma.

genetics↗

Unveiling Novel Molecular Drivers in Breast Cancer Brain Metastasis: Multi-Omics Integration Identifies Downregulation of VCAN and Emerging Roles of ASCL2/GRAMD1A as Prognostic Biomarkers and Therapeutic Vulnerabilities

PurposeBreast cancer brain metastasis (BCBM) presents a major clinical challenge, driven by molecular mechanisms that remain poorly characterized. Patients and methodsThree RNA-seq datasets (GSE110590, GSE193103, GSE209998) were analyzed to identify BCBM-associated genes. Survival outcomes (2,976 primary tumors) were assessed via Kaplan-Meier (KM Plotter), genetic alterations via cBioPortal, pathways/networks via GeneMANIA/SIGNOR, and miRNA-mRNA interactions via miRNet. Drug candidates were prioritized using the CTD. ResultsTNFRSF9 and VCAN were downregulated (log2FC: -1.18 to -2.63), while GRAMD1A, ASCL2, TACC3, and PFKFB4 were upregulated (log2FC: +1.02 to +1.70). High PFKFB4 (HR=1.71) and TACC3 (HR=1.46) predicted poor survival, with VCAN suppression (Fold change (Fc) =0.24) and GRAMD1A elevation (Fc=1.31) confirmed in metastases. Pathways included ECM remodeling (VCAN), metabolic rewiring (PFKFB4), and mitotic instability (TACC3). miR-210-3p (hypoxia) and miR-27a-3p (angiogenesis) drove BCBM, countered by miR-335/34a. Drug candidates: Valproic Acid (TACC3/ASCL2), Vorinostat (VCAN), and CDK4/6 inhibitors. ConclusionThis study identifies TNFRSF9, VCAN, GRAMD1A, ASCL2, TACC3, and PFKFB4 as key drivers of BCBM, with dysregulation linked to immune evasion, metabolic adaptation, and mitotic instability. Prioritized miRNAs (e.g., miR-210-3p) and repurposed drugs (e.g., Valproic Acid, Vorinostat) offer actionable therapeutic strategies. These findings advance precision approaches for BCBM, pending preclinical validation to translate targets into clinical practice.

genetics↗