scholarly journals Single Cell Transcriptomics Reveals Involution Mimicry During the Specification of the Basal Breast Cancer Subtype

2020 ◽  
Author(s):  
Fatima Valdes-Mora ◽  
Robert Salomon ◽  
Brian Gloss ◽  
Andrew MK Law ◽  
Lesley Castillo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Breast Cancer Subtype ◽  
Basal Breast Cancer ◽  
Cancer Subtype

scholarly journals Single cell transcriptomics reveals involution mimicry during the specification of the basal breast cancer subtype

2019 ◽  
Author(s):  
Fatima Valdes-Mora ◽  
Robert Salomon ◽  
Brian Gloss ◽  
Andrew MK. Law ◽  
Lesley Castillo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Cancer Cells ◽  
Tumour Progression ◽  
Breast Cancer Subtype ◽  
Luminal Breast Cancer ◽  
Luminal Progenitor ◽  
Mesenchymal Transition ◽  
Basal Breast Cancer ◽  
Cancer Subtype

AbstractBoth luminal and basal breast cancer subtypes originate in the mammary luminal progenitor cell compartment. Basal breast cancer is associated with younger age, early relapse, and high mortality rate. Here we used unbiased droplet-based single-cell RNAseq to elucidate the cellular basis of tumour progression during the specification of the basal breast cancer subtype from the luminal progenitor population. Basal–like cancer cells resembled the alveolar lineage that is specified upon pregnancy and showed molecular features indicative of an interaction with the tumour microenvironment (TME) including epithelial-to-mesenchymal transition (EMT), hypoxia, lactation and involution. Involution signatures in luminal breast cancer tumours with alveolar lineage features were associated with worse prognosis and features of basal breast cancer. Our high-resolution molecular characterisation of the tumour ecosystem also revealed a highly interactive cell-cell network reminiscent of an involution process. This involution mimicry involves malignant education of cancer-associated fibroblasts and myeloid cell recruitment to support tissue remodelling and sustained inflammation. Our study shows how luminal breast cancer acquires an aberrant post-lactation developmental program that involves both cancer cells and cells from the TME, to shift molecular subtype and promote tumour progression, with potential to explain the increased risk and poor prognosis of breast cancer associated to childbirth.

scholarly journals Single-cell transcriptomics reveals involution mimicry during the specification of the basal breast cancer subtype

Cell Reports ◽  
2021 ◽  
Vol 35 (2) ◽  
pp. 108945
Author(s):  
Fátima Valdés-Mora ◽  
Robert Salomon ◽  
Brian Stewart Gloss ◽  
Andrew Man Kit Law ◽  
Jeron Venhuizen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Breast Cancer Subtype ◽  
Basal Breast Cancer ◽  
Cancer Subtype

scholarly journals Sumoylation Pathway Is Required to Maintain the Basal Breast Cancer Subtype

Cancer Cell ◽  
2014 ◽  
Vol 25 (6) ◽  
pp. 748-761 ◽  
Author(s):  
Maria V. Bogachek ◽  
Yizhen Chen ◽  
Mikhail V. Kulak ◽  
George W. Woodfield ◽  
Anthony R. Cyr ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Subtype ◽  
Basal Breast Cancer ◽  
Cancer Subtype

scholarly journals Analyzing mRNAsi-Related Genes Identifies Novel Prognostic Markers and Potential Drug Combination for Patients with Basal Breast Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Huang ◽  
Yu Wu ◽  
YunQing Xie ◽  
LiYing Huang ◽  
Hong Liu
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Prognostic Model ◽  
Drug Sensitivity ◽  
Learning Algorithm ◽  
Breast Cancer Subtype ◽  
Metabolic Reprogramming ◽  
Cancer Subtypes ◽  
Basal Breast Cancer ◽  
Cancer Subtype

Basal breast cancer subtype is the worst prognosis subtypes among all breast cancer subtypes. Recently, a new tumor stemness index-mRNAsi is found to be able to measure the degree of oncogenic differentiation of tissues. The mRNAsi involved in a variety of cancer processes is derived from the innovative application of one-class logistic regression (OCLR) machine learning algorithm to the whole genome expression of various stem cells and tumor cells. However, it is largely unknown about mRNAsi in basal breast cancer. Here, we find that basal breast cancer carries the highest mRNAsi among all four subtypes of breast cancer, especially 385 mRNAsi-related genes are positively related to the high mRNAsi value in basal breast cancer. This high mRNAsi is also closely related to active cell cycle, DNA replication, and metabolic reprogramming in basal breast cancer. Intriguingly, in the 385 genes, TRIM59, SEPT3, RAD51AP1, and EXO1 can act as independent protective prognostic factors, but CTSF and ABHD4B can serve as independent bad prognostic factors in patients with basal breast cancer. Remarkably, we establish a robust prognostic model containing the 6 mRNAsi-related genes that can effectively predict the survival rate of patients with the basal breast cancer subtype. Finally, the drug sensitivity analysis reveals that some drug combinations may be effectively against basal breast cancer via targeting the mRNAsi-related genes. Taken together, our study not only identifies novel prognostic biomarkers for basal breast cancers but also provides the drug sensitivity data by establishing an mRNAsi-related prognostic model.

scholarly journals Single-Cell Analysis Reveals a Preexisting Drug-Resistant Subpopulation in the Luminal Breast Cancer Subtype

2019 ◽  
Vol 79 (17) ◽  
pp. 4412-4425 ◽  
Author(s):  
Marta Prieto-Vila ◽  
Wataru Usuba ◽  
Ryou-u Takahashi ◽  
Iwao Shimomura ◽  
Hideo Sasaki ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Breast Cancer Subtype ◽  
Luminal Breast Cancer ◽  
Drug Resistant ◽  
Cell Analysis ◽  
Cancer Subtype

scholarly journals Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer

eLife ◽  
2020 ◽  
Vol 9 ◽  
Author(s):  
Syn Kok Yeo ◽  
Xiaoting Zhu ◽  
Takako Okamoto ◽  
Mingang Hao ◽  
Cailian Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Rna Sequencing ◽  
Breast Cancer Subtype ◽  
Mammary Epithelial ◽  
Cancer Subtypes ◽  
Specific Tumor ◽  
Cancer Subtype ◽  
Single Cell Rna Sequencing ◽  
Distinct Lineage

Breast cancer stem cells (BCSCs) contribute to intra-tumoral heterogeneity and therapeutic resistance. However, the binary concept of universal BCSCs co-existing with bulk tumor cells is over-simplified. Through single-cell RNA-sequencing, we found that Neu, PyMT and BRCA1-null mammary tumors each corresponded to a spectrum of minimally overlapping cell differentiation states without a universal BCSC population. Instead, our analyses revealed that these tumors contained distinct lineage-specific tumor propagating cells (TPCs) and this is reflective of the self-sustaining capabilities of lineage-specific stem/progenitor cells in the mammary epithelial hierarchy. By understanding the respective tumor hierarchies, we were able to identify CD14 as a TPC marker in the Neu tumor. Additionally, single-cell breast cancer subtype stratification revealed the co-existence of multiple breast cancer subtypes within tumors. Collectively, our findings emphasize the need to account for lineage-specific TPCs and the hierarchical composition within breast tumors, as these heterogenous sub-populations can have differential therapeutic susceptibilities.

scholarly journals Are the estrogen receptor and SIRT3 axes of the mitochondrial UPR key regulators of breast cancer subtype determination according to age?

2021 ◽  
Author(s):  
Edmund Charles Jenkins ◽  
Mrittika Chattopadhyay ◽  
Doris Germain
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Breast Cancer Subtype ◽  
Cancer Subtype

scholarly journals Erratum to: Contribution of clinical and socioeconomic factors to differences in breast cancer subtype and mortality between Hispanic and non-Hispanic white women

2017 ◽  
Vol 166 (1) ◽  
pp. 195-195 ◽  
Author(s):  
María Elena Martínez ◽  
Scarlett L. Gomez ◽  
Li Tao ◽  
Rosemary Cress ◽  
Danielle Rodriguez ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Socioeconomic Factors ◽  
White Women ◽  
Breast Cancer Subtype ◽  
Cancer Subtype ◽  
Hispanic White

scholarly journals Ki-67 as a prognostic marker according to breast cancer subtype and a predictor of recurrence time in primary breast cancer

2010 ◽  
Vol 1 (5) ◽  
pp. 747-754 ◽  
Author(s):  
REIKI NISHIMURA ◽  
TOMOFUMI OSAKO ◽  
YASUHIRO OKUMURA ◽  
MITSUHIRO HAYASHI ◽  
YASUO TOYOZUMI ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Marker ◽  
Primary Breast Cancer ◽  
Breast Cancer Subtype ◽  
Recurrence Time ◽  
Ki 67 ◽  
Cancer Subtype
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