Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

HR+/HER2- Breast Cancer Cell and Normal Breast Epithelial Cell Derived Exosome RNA Expression

ABSTRACT: AS a key medium for intercellular communication, exosome plays an important role in the occurrence and development of various forms of cancers, including breast cancer. However, the RNA from breast cancer-derived exosome remains to be explored. The HR+/HER2− breast cancer is the most common subgroup of breast cancer, we collected and primary cultured breast cancer and normal breast epithelial cells from three HR+/HER2− breast cancer patients, isolated the supernatant and extracted RNA from exosomes, and then performed microarray assays.

ORGANISM(S): Homo sapiens

PROVIDER: GSE207304 | GEO | 2023/10/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

HR+/HER2- Breast Cancer Cell and Normal Breast Epithelial Cell Derived Exosome RNA Expression

Project description:HR+/HER2- Breast Cancer Cell and Normal Breast Epithelial Cell Derived Exosome RNA Expression

| PRJNA854659 | ENA

MAP3K1 mutations confer tumor immune heterogeneity in hormone receptor-positive HER2-negative breast cancer

Project description:Hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) breast cancer, the most common type of breast cancer, is facing challenges such as endocrine therapy resistance and distant relapse. Immunotherapy has shown progress in treating triple-negative breast cancer, but immunological research on HR+/HER2- breast cancer is still in its early stages. Here, we performed a multi-omics analysis of a large cohort of HR+/HER2- breast cancer patients (n = 351) and revealed that HR+/HER2- breast cancer possessed a highly heterogeneous tumor immune microenvironment. Notably, the immunological heterogeneity of HR+/HER2- breast cancer was related to MAP3K1 mutation and we validated experimentally that MAP3K1 mutation could attenuate CD8+ T cell-mediated antitumor immunity. Mechanistically, MAP3K1 mutation suppressed MHC-I-mediated tumor antigen presentation through promoting the degradation of antigen peptide transporter 1/2 (TAP1/2) mRNAs, thereby driving tumor immune escape. In preclinical models, the postbiotics tyramine could reverse the MAP3K1 mutation-induced MHC-I reduction, thereby augmenting the efficacy of immunotherapy.

2024-12-20 | GSE276527 | GEO

SPP1+ macrophages in HR+ breast cancer are associated with tumour-infiltrating lymphocytes.

Project description:Breast cancer, categorised into hormone receptor-positive (HR+), HER2-positive (HER2+), and triple-negative (TNBC) subtypes, exhibits varied outcomes based on the number of tumour-infiltrating lymphocytes (TILs). Increased TIL levels are associated with better outcomes in HER2+ and TNBC, while HR+ individuals with high TIL levels show shorter survival but greater neoadjuvant chemotherapy response. To explore the divergent roles of TIL levels across various subtypes and their effect on immune cell composition, we employed single-cell RNA sequencing on 31 patients with breast cancer. HR+ breast cancer with high TIL levels (TIL-high) revealed increased SPP1+ macrophages, increased SPP1 expression in other monocytes/macrophages (mono/macro) subgroups, and enriched pathways associated with extracellular matrix (ECM) remodelling in mono/macro. Moreover, cell–cell interaction analyses revealed enhanced SPP1, MIF, and FN1 signalling in the interaction between SPP1+ macrophages and T-cells in TIL-high HR+ breast cancer. Spatial transcriptomics data highlighted the close proximity of SPP1+ macrophages, CD8+ T-cells, and CD4+ T-cells in TIL-high HR+ breast cancer. Our findings unveil the novel influence of SPP1+ macrophages on T-cells in TIL-high HR+ breast cancer, potentially explaining the poor prognosis and offering insights for targeted interventions.

2024-10-09 | GSE261774 | GEO

Targeting ferroptosis resistance re-sensitizes metastatic HR+ HER2- breast cancer to palbociclib-hormone therapy

Project description:HR+HER2- breast cancers resistant to palbociclib-hormone therapy displayed increased lipid uptake and expression of stress response proteins (GPX4, PSMA7), by adding ferroptosis inducers to palbocilib-fulvestrant combination therapy, tumor response was enhanced in three different pre-clinical models: resistant cells, xenografts and PDX.

2025-01-06 | GSE270021 | GEO

RUNX1-PDGFBB-AKT pathway mediated CDK4/6 inhibitor resistance in HR+/HER2- breast cancer

Project description:RUNX1-PDGFBB-AKT pathway mediated CDK4/6 inhibitor resistance in HR+/HER2- breast cancer

| PRJNA1101560 | ENA

Comparison of matched cfDNA and CTC gDNA in HR+HER2- metastatic breast cancer patients

Project description:Comparison of matched cfDNA and CTC gDNA in HR+HER2- metastatic breast cancer patients

| PRJEB33921 | ENA

Targeting ferroptosis resistance re-sensitizes metastatic HR+ HER2- breast cancer to palbociclib-hormone therapy

Project description:Targeting ferroptosis resistance re-sensitizes metastatic HR+ HER2- breast cancer to palbociclib-hormone therapy

| PRJNA1124870 | ENA

Single-Cell RNA Sequencing Identifies Molecular Biomarkers Predicting Late Progression to CDK4/6 Inhibition in Patients with HR+/HER2- Metastatic Breast Cancer [FFPE]

Project description:This study addresses the critical need for predictive biomarkers in patients with hormone receptor–positive, HER2-negative (HR+/HER2-) metastatic breast cancer (mBC) who have been treated with cyclin-dependent kinase 4/6 inhibitors (CDK4/6is). Using single-cell RNA sequencing, we reveal differential mechanisms of early versus late progression, enhancing our understanding of resistance to CDK4/6is. We identify and validate tumor-specific molecular biomarkers and demonstrate that tumor-infiltrating cytotoxic natural killer and CD8+ T cells are predictive of therapeutic response. Additionally, increased immune activity suppression in late progressing tumors suggests that combining CDK4/6is with checkpoint inhibitors could be beneficial against drug resistance. Validation across 2 independent cohorts confirms the robustness and clinical relevance of our findings. These insights pave the way for optimizing therapeutic strategies based on microenvironment-specific changes, offering a personalized and effective approach to managing HR+/HER2- mBC and improving patient outcomes.

2025-02-18 | GSE274141 | GEO

Single-Cell RNA Sequencing Identifies Molecular Biomarkers Predicting Late Progression to CDK4/6 Inhibition in Patients with HR+/HER2- Metastatic Breast Cancer [tissue]

2025-02-18 | GSE274139 | GEO

Single-Cell RNA Sequencing Identifies Molecular Biomarkers Predicting Response to CDK4/6 Inhibition in Metastatic HR+/HER2- Breast Cancer

Project description:Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i), combined with endocrine therapy, represent the standard treatment for metastatic HR+/HER2- breast cancer (mBC). Despite their established efficacy, intrinsic resistance affects approximately one-third of patients, posing a significant challenge and underscoring the importance of identifying reliable predictive biomarkers. This study utilizes single-cell RNA sequencing (scRNAseq) of metastatic site biopsies to unveil cellular and molecular biomarkers predictive of CDK4/6i response. Through this analysis, we have identified and validated the tumor-specific molecular biomarkers across two independent mBC patient cohorts using bulk RNAseq data from baseline fresh biopsies or FFPE slides of HR+/HER2- mBC patients prior to CDK4/6i treatment. Additionally, the data indicate that baseline predictors may include tumor-infiltrating cytotoxic NK and T lymphocytes, suggesting the potential utility of checkpoint inhibitors in CDK4/6i progressors. These potentially actionable insights underscore the importance of optimizing therapeutic strategies based on microenvironment-specific changes observed following disease progression.

2025-02-18 | GSE262288 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data