Homo sapiens
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PROVIDER: PRJNA200966 | ENA |
REPOSITORIES: ENA
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Project description:Analyses whether, and if so, gene expression can add prognostic information in the subgroups of patients with tumours with low or high proliferative activity. As proliferation measured with MAI and PPH3 has repeatedly been shown to be the best prognosticator in node-negative breast cancer (high sensitivity, little overtreatment). Total RNA were extracted from 94 lymph node negative breast cancer patients
2014-03-05 | E-GEOD-46563 | biostudies-arrayexpress
Project description:Purpose: Lymph node invasion is a hallmark of breast cancer disease progression, but current treatment strategies lack guidance from lymph node biomarkers. We investigated JAGGED1 (JAG1) as a promoter of lymph node metastasis and a prognostic biomarker in metastatic lymph node specimens. Experimental Design: We used mouse models to assess the role of JAG1 expression in human and mouse breast cancer cells on lymphovascular invasion, lymph node metastatic potential, transcriptional profiles, and tumor interactions with lymphatic endothelium. We examined breast and lymph node samples from 284 breast cancer patients to determine the correlative and prognostic value of tumoral JAG1 expression in the lymph node. Results: In matched human breast tumor and lymph node samples, tumor cells that invaded lymph nodes showed higher JAG1 expression than their associated primary tumors (P value < 0.0001). In multiple models, breast cancer cells with high JAG1 expression showed increased lymphovascular invasion, lymph node metastasis, lymph node metastatic outgrowth, and migration through lymphatic endothelium. Transcriptomic analysis indicated that tumoral JAG1 regulates both juxtacrine and paracrine signaling pathways that induce inflammatory and pro-metastatic genes in lymphatic endothelium. When examining patients with identical surgical treatments, patients with lymph node JAG1 H-scorelow showed increased 5-year recurrence free survival rates than patients with lymph node JAG1 H-scorehi (87% vs 70%, P=0.016). Conclusions: JAG1 expression promotes lymphovascular invasion and lymph node metastasis in murine models. In patients, high expression of JAG1 in tumor cells in lymph node metastases predicts reduced recurrence free survival.
2026-07-27 | GSE252953 | GEO
Project description:Purpose: Lymph node invasion is a hallmark of breast cancer disease progression, but current treatment strategies lack guidance from lymph node biomarkers. We investigated JAGGED1 (JAG1) as a promoter of lymph node metastasis and a prognostic biomarker in metastatic lymph node specimens. Experimental Design: We used mouse models to assess the role of JAG1 expression in human and mouse breast cancer cells on lymphovascular invasion, lymph node metastatic potential, transcriptional profiles, and tumor interactions with lymphatic endothelium. We examined breast and lymph node samples from 284 breast cancer patients to determine the correlative and prognostic value of tumoral JAG1 expression in the lymph node. Results: In matched human breast tumor and lymph node samples, tumor cells that invaded lymph nodes showed higher JAG1 expression than their associated primary tumors (P value < 0.0001). In multiple models, breast cancer cells with high JAG1 expression showed increased lymphovascular invasion, lymph node metastasis, lymph node metastatic outgrowth, and migration through lymphatic endothelium. Transcriptomic analysis indicated that tumoral JAG1 regulates both juxtacrine and paracrine signaling pathways that induce inflammatory and pro-metastatic genes in lymphatic endothelium. When examining patients with identical surgical treatments, patients with lymph node JAG1 H-scorelow showed increased 5-year recurrence free survival rates than patients with lymph node JAG1 H-scorehi (87% vs 70%, P=0.016). Conclusions: JAG1 expression promotes lymphovascular invasion and lymph node metastasis in murine models. In patients, high expression of JAG1 in tumor cells in lymph node metastases predicts reduced recurrence free survival.
2026-07-27 | GSE252950 | GEO
Project description:Purpose: Lymph node invasion is a hallmark of breast cancer disease progression, but current treatment strategies lack guidance from lymph node biomarkers. We investigated JAGGED1 (JAG1) as a promoter of lymph node metastasis and a prognostic biomarker in metastatic lymph node specimens. Experimental Design: We used mouse models to assess the role of JAG1 expression in human and mouse breast cancer cells on lymphovascular invasion, lymph node metastatic potential, transcriptional profiles, and tumor interactions with lymphatic endothelium. We examined breast and lymph node samples from 284 breast cancer patients to determine the correlative and prognostic value of tumoral JAG1 expression in the lymph node. Results: In matched human breast tumor and lymph node samples, tumor cells that invaded lymph nodes showed higher JAG1 expression than their associated primary tumors (P value < 0.0001). In multiple models, breast cancer cells with high JAG1 expression showed increased lymphovascular invasion, lymph node metastasis, lymph node metastatic outgrowth, and migration through lymphatic endothelium. Transcriptomic analysis indicated that tumoral JAG1 regulates both juxtacrine and paracrine signaling pathways that induce inflammatory and pro-metastatic genes in lymphatic endothelium. When examining patients with identical surgical treatments, patients with lymph node JAG1 H-scorelow showed increased 5-year recurrence free survival rates than patients with lymph node JAG1 H-scorehi (87% vs 70%, P=0.016). Conclusions: JAG1 expression promotes lymphovascular invasion and lymph node metastasis in murine models. In patients, high expression of JAG1 in tumor cells in lymph node metastases predicts reduced recurrence free survival.
2026-07-27 | GSE253035 | GEO
Project description:Purpose: Lymph node invasion is a hallmark of breast cancer disease progression, but current treatment strategies lack guidance from lymph node biomarkers. We investigated JAGGED1 (JAG1) as a promoter of lymph node metastasis and a prognostic biomarker in metastatic lymph node specimens. Experimental Design: We used mouse models to assess the role of JAG1 expression in human and mouse breast cancer cells on lymphovascular invasion, lymph node metastatic potential, transcriptional profiles, and tumor interactions with lymphatic endothelium. We examined breast and lymph node samples from 284 breast cancer patients to determine the correlative and prognostic value of tumoral JAG1 expression in the lymph node. Results: In matched human breast tumor and lymph node samples, tumor cells that invaded lymph nodes showed higher JAG1 expression than their associated primary tumors (P value < 0.0001). In multiple models, breast cancer cells with high JAG1 expression showed increased lymphovascular invasion, lymph node metastasis, lymph node metastatic outgrowth, and migration through lymphatic endothelium. Transcriptomic analysis indicated that tumoral JAG1 regulates both juxtacrine and paracrine signaling pathways that induce inflammatory and pro-metastatic genes in lymphatic endothelium. When examining patients with identical surgical treatments, patients with lymph node JAG1 H-scorelow showed increased 5-year recurrence free survival rates than patients with lymph node JAG1 H-scorehi (87% vs 70%, P=0.016). Conclusions: JAG1 expression promotes lymphovascular invasion and lymph node metastasis in murine models. In patients, high expression of JAG1 in tumor cells in lymph node metastases predicts reduced recurrence free survival.
2026-07-27 | GSE252952 | GEO
Project description:Our findings indicate that the integration of expression signatures and clinicopathological factors can better determine the individual risk of recurrence for newly diagnosed patients with lymph-node negative ER-positive breast cancer. Models incorporating other variables yet to be discovered will be needed to obtain robust prognostic models for ER-negative and HER2-positive breast cancer patients.
2010-10-25 | GSE15393 | GEO
Project description:Our findings indicate that the integration of expression signatures and clinicopathological factors can better determine the individual risk of recurrence for newly diagnosed patients with lymph-node negative ER-positive breast cancer. Models incorporating other variables yet to be discovered will be needed to obtain robust prognostic models for ER-negative and HER2-positive breast cancer patients. A large data set was created by combining five different publicly available microarray datasets of node-negative breast cancer patients treated with local therapy only. The microarray gene expression data was combined using the batch effect adjustment by the Distance Weighted Discrimination method.
2010-10-25 | E-GEOD-15393 | biostudies-arrayexpress
Project description:Delineating the Transcriptional Network of Prognostic Gene Signatures Refines Treatment Recommendations for Lymph Node-negative Breast Cancer Patients
| PRJNA264075 | ENA
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:Expression profiling of breast cancer tumours, comparing 10 year survivors to deceased patients Background It is of great significance to find better markers to correctly distinguish between high-risk and low-risk breast cancer patients since the majority of breast cancer cases are at present being overtreated. Methods 46 tumours from node-negative breast cancer patients were studied with gene expression microarrays. A t-test was carried out in order to find a set of genes where the expression might predict clinical outcome. Two classifiers were used to evaluate the gene lists on the different data sets, a correlation-based classifier and a VFI (Voting Features Interval) classifier. We then evaluated the predictive accuracy of this expression signature on tumour sets from two similar studies on lymph-node negative patients which had developed gene expression signatures superior to current methods in classifying node-negative breast tumours. These two signatures were also tested on our material. Results A list of 51 genes whose expression profiles could predict clinical outcome with high accuracy in our material (96% or 89% accuracy in cross-validation, depending on type of classifier) was developed. When tested on two independent data sets, the expression signature based on the 51 identified genes had good predictive qualities in one of the data sets (74% accuracy), whereas their predictive value on the other data set were poor, presumably due to the fact that only 23 of the 51 genes were found in that material. We also found that previously developed expression signatures could predict clinical outcome well to moderately well in our material (72% and 61%, respectively). Conclusion The list of 51 genes derived in this study might have potential for clinical utility as a prognostic gene set, and may include candidate genes of potential relevance for clinical outcome in breast cancer. According to the predictions by this expression signature, 30 of the 46 patients should have had different adjuvant treatment than they did. Keywords: Expression Microarray, Lymph-node-negative Breast Cancer, Clinical Outcome, Classification
2008-08-29 | GSE12071 | GEO