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. 2024 Nov;44(11):1311-1315.
doi: 10.1002/cac2.12603. Epub 2024 Sep 19.

Single-cell transcriptomic atlas reveals immune and metabolism perturbation of depression in the pathogenesis of breast cancer

Affiliations

Single-cell transcriptomic atlas reveals immune and metabolism perturbation of depression in the pathogenesis of breast cancer

Lingling Wu et al. Cancer Commun (Lond). 2024 Nov.
No abstract available

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

FIGURE 1
FIGURE 1
scRNA‐seq reveals MDD‐associated pathogenesis of breast cancer. (A) The experimental design of single‐cell analyses in this study. (B) UMAP plot of single cells from tumor tissues, adjacent normal tissues, and peripheral blood samples, colored by major cell types. (C) Comparisons of the enrichment of OXPHOS (left) and glycolysis (right) pathways within aneuploidy cells from BC‐Ctrl and BC‐MDD groups. (D) Overall survival analyses of the contributions of top‐50 highly‐expressed gene signatures of LumSec‐2 (left) and LumSec‐3 (right) clusters in prognosis prediction of the estrogen receptor‐positive patients in the TCGA‐BRCA cohort. (E) Venn plot of the overlaps between upregulated differentially expressed genes of endothelial, fibroblast, and pericyte cells between BC‐Ctrl and BC‐MDD sample groups (left) and the pathway enrichment analysis of the shared upregulated genes (right). (F) Pathway enrichment analysis of differentially expressed genes of CD8+ T cells (left) and macrophages (right) in the primary tumor tissue of BC‐Ctrl and BC‐MDD patients. (G) The number of interactions of ligands and receptors across major cell subtypes within BC‐Ctrl (left) and BC‐MDD (right) samples. (H) The changes of incoming and outgoing interactions across major cell subtypes between BC‐MDD and BC‐Ctrl primary tumor tissues. Abbreviations: scRNA‐seq, single‐cell RNA sequencing; BC, breast cancer; MDD, major depressive disorder; UMAP, uniform manifold approximation and projection; OXPHOS, oxidative phosphorylation; GSVA, gene set variation analysis; LumSec, luminal secretory cell; DEGs, differentially expressed genes.

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