Breast Cancer
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB57714 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Lymph node status is a crucial predictor for the overall survival of invasive breast cancer. However, lymph node involvement is only detected in about half of HER2 positive patients. Currently, there are no biomarkers available for distinguishing small size HER2-positive breast cancers with different lymph node statuses. Thus, in the present study, we applied label-free quantitative proteomic strategy to construct plasma proteomic profiles of ten patients with small size HER2-positive breast cancers (5 patients with lymph node metastasis versus 5 patients with lymph node metastasis).
2018-02-08 | PXD007217 | Pride
Project description:This series represents 180 lymph-node negative relapse free patients and 106 lymph-node negate patients that developed a distant metastasis. Please see attached patient clinical parameters sheet for more information. Keywords: other
2005-02-23 | GSE2034 | GEO
Project description:To identify the mRNAs, long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) involved in the pathogenesis of breast cancer, we performed the whole transcriptome sequencing. The whole transcriptome sequencing was performed with three breast cancer tissues with or without lymph node metastasis in each group, respectively. The results showed that 728 mRNAs, 131 lncRNAs, and 144 circRNAs were differentially expressed in lymph node metastasis group and no lymph node metastasis group (fold change≥2, p<0.05). These data indicate that dysregulation of mRNAs, lncRNAs, and circRNAs may contribute to breast cancer progression.
2021-12-31 | GSE163346 | GEO
Project description:This series represents 180 lymph-node negative relapse free patients and 106 lymph-node negate patients that developed a distant metastasis. Please see attached patient clinical parameters sheet for more information (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?view=data&acc=GSE2034&id=40089&db=GeoDb_blob26). Keywords: other
2005-02-22 | E-GEOD-2034 | biostudies-arrayexpress
Project description:Using a mouse model of breast cancer that develops spontaneous lymph node metastasis, we performed high-resolution single-cell RNA sequencing (scRNA-Seq) of the primary tumor and TDLN to measure how cancer cells adapt to the dynamic lymph node microenvironment. To understand the dynamic change of lymph node microenvironment after cancer cell invasion, we also compared the gene-expression alteration between naive lymph node and TDLN at single-cell level.
2023-06-14 | GSE168181 | GEO
Project description:We have analysed a unique tumour set of fourteen primary breast cancer tumours with matched synchronous axillary lymph node metastases and a set of nine primary tumours with, later developed, matched distant metastases spread to different sites in the body. The aim was to further understand the molecular changes during the spreading and identify differentially regulated proteins that may be novel biomarkers or treatment targets. We analysed the changes in glycoprotein expression since protein glycosylation is predominant in both membrane proteins and secreted proteins and these proteins are often important for cancer transformation. This may also allow affinity capture enabling selected reaction monitoring of these biomarkers in blood. Glycopeptide capture was used in this study to selectively isolate and quantify N-linked glycopeptides from tumours mixtures and the captured glycopeptides were subjected to label-free quantitative tandem mass spectrometry analysis. Differentially expressed proteins between primary tumours and matched lymph node metastasis and distant metastasis were identified. Two of the top hits, ATPIF1 and tubulin β-chain were validated to be differentially regulated with immunohistochemistry.
2022-02-28 | PXD001637 | Pride
Project description:The project analyzed 88 breast cancer clinical samples, including lymph node negative and positive primary tumors, lymph node metastases, and healthy tissue as control. All samples were combined with a super-SILAC mix that served as an internal standard for quantification.
2016-06-16 | MSV000079830 | MassIVE
Project description:We performed single cell RNA sequencing (RNA-seq) for 549 primary breast cancer cells and lymph node metastases from 11 patients with distinct molecular subtypes (BC01-BC02, estrogen receptor positive (ER+); BC03, double positive (ER+ and HER2+); BC03LN, lymph node metastasis of BC03; BC04-BC06, human epidermal growth factor receptor 2 positive (HER2+); BC07-BC11, triple-negative breast cancer (TNBC); BC07LN, lymph node metastasis of BC07) and matched bulk tumors. We separated these single cells into epithelial tumor and tumor-infiltrating immune cells using inferred CNVs from RNA-seq. The refined single cell profiles for the tumor and immune cells provide key expression signatures of breast cancer and the surrounding microenvironment.
2016-12-09 | GSE75688 | GEO
Project description:Lymph node involvement is a major prognostic variable in breast cancer. Whether the molecular mechanisms that drive breast cancer cells to colonize lymph nodes are shared with their capacity to form distant metastases is yet to be established. In a transcriptomic survey aimed at identifying molecular factors associated with lymph node involvement of ductal breast cancer, we found that luminal differentiation, assessed by the expression of estrogen receptor (ER) and/or progesterone receptor (PR) and GATA3, was only infrequently lost in node-positive primary tumors and in matched lymph node metastases. The transcription factor GATA3 critically determines luminal lineage specification of mammary epithelium and is widely considered a tumor and metastasis suppressor in breast cancer. Strong expression of GATA3 and ER in a majority of primary node-positive ductal breast cancer was corroborated by quantitative RT-PCR and immunohistochemistry in the initial sample set, and by immunohistochemistry in an additional set from 167 patients diagnosed of node-negative and positive primary infiltrating ductal breast cancer, including 102 samples from loco-regional lymph node metastases matched to their primary tumors, as well as 37 distant metastases. These observations suggest that loss of luminal differentiation is not a major factor driving the ability of breast cancer cells to colonize regional lymph nodes. The transcriptomic study comprises 16 samples from Lymph node metastasis from infiltrating ductal breast carcinoma, 18 samples from Primary node-positive infiltrating ductal,7 samples from Primary node-negative infiltrating ductal and 3 samples from Unaffected lymph node were included. Their RNA was isolated and prepared for hybridization to human Affymetrix GeneChip arrays.
2013-03-05 | E-GEOD-44408 | biostudies-arrayexpress