| Literature DB >> 35582030 |
Norman Fultang1, Madhuparna Chakraborty2, Bela Peethambaran2.
Abstract
Triple Negative Breast Cancer (TNBC) is the most lethal subtype of breast cancer. Despite the successes of emerging targeted therapies, relapse, recurrence, and therapy failure rates in TNBC significantly outpace other subtypes of breast cancer. Mounting evidence suggests accumulation of therapy resistant Cancer Stem Cell (CSC) populations within TNBCs contributes to poor clinical outcomes. These CSCs are enriched in TNBC compared to non-TNBC breast cancers. The mechanisms underlying CSC accumulation have been well-characterized and discussed in other reviews. In this review, we focus on TNBC-specific mechanisms that allow the expansion and activity of self-renewing CSCs. We highlight cellular signaling pathways and transcription factors, specifically enriched in TNBC over non-TNBC breast cancer, contributing to stemness. We also analyze publicly available single-cell RNA-seq data from basal breast cancer tumors to highlight the potential of emerging bioinformatic approaches in identifying novel drivers of stemness in TNBC and other cancers.Entities:
Keywords: Cancer stem cells; TNBC; breast cancer; transcriptional regulation
Year: 2021 PMID: 35582030 PMCID: PMC9019272 DOI: 10.20517/cdr.2020.106
Source DB: PubMed Journal: Cancer Drug Resist ISSN: 2578-532X
Figure 1Signaling pathways and epigenetic and transcriptional mechanisms deregulated in TNBC contributing to stemness. Created using Biorender.com
Figure 2Red and blue arrows indicate putative CD44-high/CD24-low CSC cluster (Cluster 11). (A) Combined Seurat analysis of 13,412 cells shown in UMAP projection plot showing the individual clusters identified in GSE123366; (B) dot plot visualizing CD44 and CD24 expression in the individual clusters; (C, D) feature plots showing CD44 and CD24 expression in individual cells; and (E, F) violin and ridge plots showing distribution of CD44 and CD24 expression in Seurat clusters, respectively
Top 30 genes upregulated in CD44-high/CD24-low cluster (Cluster 11). The genes were obtained using the Finallmarkers function from the Seurat package with expression threshold set at 0.25.
| Gene | |
|---|---|
| Pcdh7 | 1.09E-150 |
| Dcn | 5.55E-119 |
| Plpp3 | 3.19E-106 |
| Creb3l1 | 3.22E-104 |
| Hexa | 7.26E-94 |
| Ppic | 4.18E-87 |
| Serpina3n | 2.91E-85 |
| Mmp14 | 9.55E-80 |
| Snhg18 | 1.01E-75 |
| Vcan | 1.97E-75 |
| Ifitm2 | 3.08E-74 |
| Col4a1 | 1.59E-73 |
| Gstm2 | 8.51E-65 |
| Serf2 | 5.42E-60 |
| Calu | 1.40E-54 |
| Marcks | 2.86E-51 |
| Bmp1 | 7.37E-50 |
| Selenof | 2.12E-49 |
| Itm2c | 1.42E-41 |
| Rrbp1 | 2.50E-40 |
| Vasn | 3.81E-38 |
| Col27a1 | 1.73E-37 |
| Ugdh | 2.18E-37 |
| Il6st | 1.15E-31 |
| Ckap4 | 3.62E-30 |
| Vat1 | 4.21E-30 |
| Lamc1 | 9.67E-30 |
| Pdia3 | 6.54E-26 |
| Cyth3 | 8.66E-19 |
Pcdh7: Protocadherin-7; Dcn: decorin; Plpp3: phospholipid phosphatase 3; Creb3l1: CAMP responsive element binding protein 3 like 1; Hexa: hexosaminidase A; Ppic: peptidylprolyl isomerase C; Serpina3n: serine protease inhibitor A3N precursor; Mmp14-matrix metallopeptidase 14; Snhg18: small nucleolar RNA host Gene 18; Vcan: versican; Ifitm2: interferon induced transmembrane protein 2; Col4a1: collagen alpha-1(IV); Gstm2: glutathione S-transferase mu 2; Serf2: small EDRK-rich factor 2; Calu: calumenin; Marcks: myristoylated alanine rich protein kinase C substrate; Bmp-1 Bone morphogenetic protein-1; Selenof: selenoprotein F precursor; Itm2c: integral membrane protein 2C; Rrbp1: ribosome-binding protein 1; Vasn: vasorin; col27a1: collagen alpha-1 (XXVII); Ugdh: UDP-glucose dehydrogenase; Il6st: interleukin 6 signal transducer; Ckap4: cytoskeleton associated protein 4; Vat1: vesicle amine transport 1; Lamc1: laminin subunit gamma-1; Pdia3: protein disulfide-isomerase A3; Cyth3: cytohesin-3