Novel transcripts associated with lymph node metastasis in triple negative breast cancer
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA261956 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Breast cancer is the most common malignancy that develops in women, responsible for the highest cancer-associated death rates. Triple negative breast cancers (TNBC) represent an important subtype that have an aggressive clinical phenotype, are associated with a higher likelihood of metastasis and are not responsive to current targeted therapies. miRNAs have emerged as an attractive candidate for molecular biomarkers and treatment targets in breast cancer, but their role in the progression of TNBC remains largely unexplored. This study has investigated miRNA expression profiles in 31 primary TNBC cases and in 13 lymph node metastases compared with 23 matched normal breast tissues to determine miRNAs associated with the initiation of this disease subtype and those associated with its metastasis. 71 miRNAs were differentially expressed in TNBC, the majority of which have previously been associated with breast cancer, including members of the miR-200 family and the miR-17-92 oncogenic cluster, suggesting that miRNAs involved in the initiation of TNBC are not subtype specific. However, the repertoire of miRNAs expressed in lymph node negative and lymph node positive TNBCs were largely distinct from one another. In particular, miRNA profiles associated with lymph node negative disease tended to be up-regulated, while those associated with lymph node positive disease were down-regulated and largely overlapped with the profiles of their matched lymph node metastases. miRNA expression profiles were examined in 31 primary TNBC cases and in 13 lymph node metastases compared with 23 matched normal breast tissues
2014-11-24 | E-GEOD-38167 | biostudies-arrayexpress
Project description:A classifier was build on 82 training samples to differentiate between lymph node negative (N0) and lymph node metastasis (N+) head and neck squamous-cell carcinomas (HNSCC). The 102 predictor genes that resulted from this classifier where then validated against a independent validation set.
2005-01-09 | E-UMCU-11 | biostudies-arrayexpress
Project description:Breast cancer is the most common malignancy that develops in women, responsible for the highest cancer-associated death rates. Triple negative breast cancers (TNBC) represent an important subtype that have an aggressive clinical phenotype, are associated with a higher likelihood of metastasis and are not responsive to current targeted therapies. miRNAs have emerged as an attractive candidate for molecular biomarkers and treatment targets in breast cancer, but their role in the progression of TNBC remains largely unexplored. This study has investigated miRNA expression profiles in 31 primary TNBC cases and in 13 lymph node metastases compared with 23 matched normal breast tissues to determine miRNAs associated with the initiation of this disease subtype and those associated with its metastasis. 71 miRNAs were differentially expressed in TNBC, the majority of which have previously been associated with breast cancer, including members of the miR-200 family and the miR-17-92 oncogenic cluster, suggesting that miRNAs involved in the initiation of TNBC are not subtype specific. However, the repertoire of miRNAs expressed in lymph node negative and lymph node positive TNBCs were largely distinct from one another. In particular, miRNA profiles associated with lymph node negative disease tended to be up-regulated, while those associated with lymph node positive disease were down-regulated and largely overlapped with the profiles of their matched lymph node metastases.
2014-11-24 | GSE38167 | GEO
Project description:Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.
2015-12-02 | GSE61724 | GEO
Project description:Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.
2015-12-02 | GSE61723 | GEO
Project description:Tumor-infiltrating cells are considered as a homogeneous populations in the tumor microenvironment. We used single cell RNA sequencing (scRNA-seq) to analyze the diversity of tumor-infiltrating cells of the tumor foci, draining lymph node and peripheral blood from patients with triple-negative breast cancer who received chemotherapy.
2024-06-12 | GSE263995 | 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
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.
2013-03-05 | GSE44408 | GEO
Project description:Gene expression profiling of early stage cervical cancer tumours with and without lymph node metastasis, in order to predict lymph node metastasis before treatment. Subsequently, comparing gene expression profiles between healthy cervical tissue and early stage cervical cancer tissue. Experiment Overall Design: All patients had clinical FIGO stage IB-IIA cervical cancer, the low-risk group (N) included 19 patients without unfavourable prognostic factors (positive lymph nodes, parametrial invasion, positive margins or a combination of unfavourable prognostic factors); the high risk group (P) consisted of 16 patients with lymph node metastasis, who were treated with adjuvant radiation therapy with or without chemotherapy. Healthy cervical tissue biopsies (H) were collected from 5 non-cervical carcinoma patients who underwent hysterectomy for benign reasons. RNA pooled from all tumour tissue samples was used as reference sample. Log-ratios of five technical replicates were used for normalization.
2008-04-05 | E-GEOD-7410 | biostudies-arrayexpress