Ontology highlight
ABSTRACT:
PROVIDER: PRJNA743504 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15034219_1.fastq.gz | Fastqsanger.gz | |||
| SRR15034219_2.fastq.gz | Fastqsanger.gz | |||
| SRR15034220_1.fastq.gz | Fastqsanger.gz | |||
| SRR15034220_2.fastq.gz | Fastqsanger.gz | |||
| SRR15034221_1.fastq.gz | Fastqsanger.gz |
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Project description:Identifying patients at risk for metastatic relapse is a critical need in oncology. We identified a common missense germline variant in PCSK9 (rs562556) that associates with reduced breast cancer survival outcomes in multiple cohorts. Genetic modeling of this gain-of-function single nucleotide variant in mice revealed that it causally promoted breast cancer metastasis. Conversely, host PCSK9 deletion reduced metastatic colonization in multiple breast cancer models. Host PCSK9 promoted metastatic initiation events in lung and increased proliferative competence by targeting tumoral LRP1 receptors which repress metastasis-promoting genes. Antibody-mediated therapeutic inhibition of PCSK9 suppressed breast cancer metastasis in multiple models. rs562556 stratified women in a large Swedish early-stage breast cancer cohort into those with 98% versus 78% distant-metastasis-free interval at 15 years after diagnosis. Our findings reveal that a commonly inherited genetic alteration predicts breast cancer survival and governs breast cancer metastasis—uncovering a hereditary basis underlying a prevalent cause of mortality.
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Project description:Background MicroRNA expression is frequently dysregulated in cancer and it could be used potentially as a disease classifier and a prognostic tool in cancer. It has been reported that the cancer associated specific microRNAs were stably detected in blood. The objective of this study was to discover a panel of circulating microRNAs as potential ER+/HER2- breast cancer biomarkers. Methods We compared levels of circulating microRNAs in blood samples from 11 ER+/HER2- advanced breast cancer patients with age-matched 5 control subjects by using microarray-based expression profiling. We validated the level of microRNAs by real-time quantitative polymerase cycle reaction (RT-qPCR) in 40 control subjects, 180 early breast cancer patients (EBC), and 52 metastatic breast cancer patients (MBC). Then, we assessed the association between the levels of microRNA and clinical outcomes of ER+/HER2- metastatic breast cancer. Background MicroRNA expression is frequently dysregulated in cancer and it could be used potentially as a disease classifier and a prognostic tool in cancer. It has been reported that the cancer associated specific microRNAs were stably detected in blood. The objective of this study was to discover a panel of circulating microRNAs as potential ER+/HER2- breast cancer biomarkers. Methods We compared levels of circulating microRNAs in blood samples from 11 ER+/HER2- advanced breast cancer patients with age-matched 5 control subjects by using microarray-based expression profiling. We validated the level of microRNAs by real-time quantitative polymerase cycle reaction (RT-qPCR) in 40 control subjects, 180 early breast cancer patients (EBC), and 52 metastatic breast cancer patients (MBC). Then, we assessed the association between the levels of microRNA and clinical outcomes of ER+/HER2- metastatic breast cancer. Controls: 5 cases; ER +/HER2- breast cancer patients : 11 cases
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Project description:Background MicroRNA expression is frequently dysregulated in cancer and it could be used potentially as a disease classifier and a prognostic tool in cancer. It has been reported that the cancer associated specific microRNAs were stably detected in blood. The objective of this study was to discover a panel of circulating microRNAs as potential ER+/HER2- breast cancer biomarkers. Methods We compared levels of circulating microRNAs in blood samples from 11 ER+/HER2- advanced breast cancer patients with age-matched 5 control subjects by using microarray-based expression profiling. We validated the level of microRNAs by real-time quantitative polymerase cycle reaction (RT-qPCR) in 40 control subjects, 180 early breast cancer patients (EBC), and 52 metastatic breast cancer patients (MBC). Then, we assessed the association between the levels of microRNA and clinical outcomes of ER+/HER2- metastatic breast cancer. Background MicroRNA expression is frequently dysregulated in cancer and it could be used potentially as a disease classifier and a prognostic tool in cancer. It has been reported that the cancer associated specific microRNAs were stably detected in blood. The objective of this study was to discover a panel of circulating microRNAs as potential ER+/HER2- breast cancer biomarkers. Methods We compared levels of circulating microRNAs in blood samples from 11 ER+/HER2- advanced breast cancer patients with age-matched 5 control subjects by using microarray-based expression profiling. We validated the level of microRNAs by real-time quantitative polymerase cycle reaction (RT-qPCR) in 40 control subjects, 180 early breast cancer patients (EBC), and 52 metastatic breast cancer patients (MBC). Then, we assessed the association between the levels of microRNA and clinical outcomes of ER+/HER2- metastatic breast cancer.
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Project description:Identifying patients at risk for metastatic relapse is a critical need in oncology. We identified a common missense germline variant in PCSK9 that associates with reduced breast cancer survival outcomes in multiple cohorts. Genetic modeling of this gain-of-function single nucleotide variant in mice revealed that it causally promoted breast cancer metastasis. Conversely, host PCSK9 deletion reduced metastatic colonization in multiple breast cancer models. Host PCSK9 promoted metastatic initiation events in lung and increased proliferative competence by targeting tumoral LRP1 receptors which repress metastasis-promoting genes. Antibody-mediated therapeutic inhibition of PCSK9 suppressed breast cancer metastasis in multiple models. This variant stratified women in a large Swedish early-stage breast cancer cohort into those with 98% versus 78% distant-metastasis-free interval at 15 years after diagnosis. Our findings reveal that a commonly inherited genetic alteration predicts breast cancer survival and governs breast cancer metastasis—uncovering a hereditary basis underlying a prevalent cause of mortality.
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Project description:Identifying patients at risk for metastatic relapse is a critical need in oncology. We identified a common missense germline variant in PCSK9 that associates with reduced breast cancer survival outcomes in multiple cohorts. Genetic modeling of this gain-of-function single nucleotide variant in mice revealed that it causally promoted breast cancer metastasis. Conversely, host PCSK9 deletion reduced metastatic colonization in multiple breast cancer models. Host PCSK9 promoted metastatic initiation events in lung and increased proliferative competence by targeting tumoral LRP1 receptors which repress metastasis-promoting genes. Antibody-mediated therapeutic inhibition of PCSK9 suppressed breast cancer metastasis in multiple models. This variant stratified women in a large Swedish early-stage breast cancer cohort into those with 98% versus 78% distant-metastasis-free interval at 15 years after diagnosis. Our findings reveal that a commonly inherited genetic alteration predicts breast cancer survival and governs breast cancer metastasis—uncovering a hereditary basis underlying a prevalent cause of mortality.
2024-12-09 | GSE255559 | GEO
Project description:Identifying patients at risk for metastatic relapse is a critical need in oncology. We identified a common missense germline variant in PCSK9 that associates with reduced breast cancer survival outcomes in multiple cohorts. Genetic modeling of this gain-of-function single nucleotide variant in mice revealed that it causally promoted breast cancer metastasis. Conversely, host PCSK9 deletion reduced metastatic colonization in multiple breast cancer models. Host PCSK9 promoted metastatic initiation events in lung and increased proliferative competence by targeting tumoral LRP1 receptors which repress metastasis-promoting genes. Antibody-mediated therapeutic inhibition of PCSK9 suppressed breast cancer metastasis in multiple models. This variant stratified women in a large Swedish early-stage breast cancer cohort into those with 98% versus 78% distant-metastasis-free interval at 15 years after diagnosis. Our findings reveal that a commonly inherited genetic alteration predicts breast cancer survival and governs breast cancer metastasis—uncovering a hereditary basis underlying a prevalent cause of mortality.
2024-12-09 | GSE255558 | GEO
Project description:Histological grading of breast cancer defines morphological subtypes informative of metastatic potential, although not without considerable inter-observer disagreement and clinical heterogeneity particularly among the moderately differentiated grade II (G2) tumors. We posited that a gene expression signature capable of discerning tumors of grade I (G1) and grade III (G3) histology might provide a more objective measure of grade with prognostic benefit for patients with moderately differentiated disease. To this end, we studied the expression profiles of 347 primary invasive breast tumors analyzed on Affymetrix microarrays. Using class prediction algorithms, we identified 264 robust grade-associated markers, six of which could accurately classify G1 and G3 tumors, and separate G2 tumors into two highly discriminant classes (termed G2a and G2b genetic grades) with patient survival outcomes highly similar to those with G1 and G3 histology, respectively. Statistical analysis of conventional clinical variables further distinguished G2a and G2b subtypes from each other, but also from histologic G1 and G3 tumors. In multivariate analyses, genetic grade was consistently found to be an independent prognostic indicator of disease recurrence comparable to that of lymph node status and tumor size. When incorporated into the Nottingham Prognostic Index, genetic grade enhanced detection of patients with less harmful tumors, likely to benefit little from adjuvant therapy. Our findings show that a genetic grade signature can improve prognosis and therapeutic planning for breast cancer patients, and support the view that low and high grade disease, as defined genetically, reflect independent pathobiological entities rather than a continuum of cancer progression. Three separate breast cancer cohorts were analyzed: 1) Uppsala (n=249), 2) Stockholm (n=58), 3) Singapore (n=40). The Uppsala and Singapore data can be accessed here. The Stockholm cohort data can be accessed at GEO Series GSE1456. Experiment Overall Design: All tumor specimens were assessed on U133 A and B arrays.
2008-06-15 | E-GEOD-4922 | biostudies-arrayexpress
Project description:Evaluation of Invasive Breast Cancer Using a 12-Chemokine Gene Expression Score: Correlation With Clinical Outcomes
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Project description:Purpose:The Vimentin gene plays a pivotal role in epithelial-to-mesenchymal transition (EMT) and is known to be over-expressed in the prognostically poor basal-like breast cancer subtype. Recent studies have reported Vimentin DNA methylation in association with poor clinical outcomes in other solid tumors, but not in breast cancer. We therefore quantified Vimentin DNA methylation in breast tumors and matched normal pairs in association with gene expression and survival in a cohort of 83 breast cancer patients. Materials and Methods:Vimentin methylation was quantified in 14 breast cell lines, 83 breast tumors, and 57 matched normal pairs using MALDI-TOF mass spectrometry. Gene expression data via qRT-PCR in cell lines, and oligo microarray data from breast tissues was correlated with percent methylation in the Vimentin promoter. A threshold of 20 percent average methylation was set for bivariate and multivariate tests of association between methylation and tumor subtype, tumor histopathology, and survival. Results:Vimentin was differentially methylated in luminal breast cancer cell lines, and in luminal A, luminal B and HER2+ breast tumor subtypes, but was rare in basal-like cell lines and tumors. Increased methylation was strongly correlated with decreased mRNA expression in cell lines, and had a moderate inverse correlation in breast tumors. Importantly, Vimentin methylation predicted poor overall survival independent of race, subtype, stage, nodal status or estrogen receptor positivity. Conclusion:Vimentin methylation predicts overall survival in breast cancer patients and holds promise as a prognostic biomarker for guiding treatment and prophylaxis. reference x sample
2013-02-19 | E-GEOD-35629 | biostudies-arrayexpress