The prognostic ease and difficulty of invasive breast carcinoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Eric Paquet
PROVIDER: E-GEOD-58644 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
The prognostic ease and difficulty of invasive breast carcinoma.
Tofigh Ali A Suderman Matthew M Paquet Eric R ER Livingstone Julie J Bertos Nicholas N Saleh Sadiq M SM Zhao Hong H Souleimanova Margarita M Cory Sean S Lesurf Robert R Shahalizadeh Solmaz S Garcia Lopez Norberto N Riazalhosseini Yasser Y Omeroglu Atilla A Ursini-Siegel Josie J Park Morag M Dumeaux Vanessa V Hallett Michael M
Cell reports 20141002 1
Breast carcinoma (BC) has been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The sheer number of reported signatures has led to speculation that everything is prognostic in BC. Here, we show that this ubiquity is an apparition caused by a poor understanding o ...[more]
Similar Datasets
Project description:Breast carcinoma (BC) have been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The shear number of reported signatures has led to speculation that everything is prognostic in BC. Here we show that this ubiquity is an apparition caused by a poor understanding of the inter- relatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers, but who experience a distant metastasis within five years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intra-tumoral heterogeneity.
2014-10-08 | GSE58644 | GEO
Project description:Detection of breast cancer (BC) in young women is challenging because mammography, the most common tool for detecting BC, is not effective on the dense breast tissue characteristic of young women. In addition to the limited means for detecting their BC, young women face a transient increased risk of pregnancy-associated BC. As a consequence, reproductively active women could benefit significantly from a tool that provides them with accurate risk assessment and early detection of BC. One potential method for detection of BC is biochemical monitoring of proteins and other molecules in bodily fluids such as serum, nipple aspirate, ductal lavage, tear, urine, saliva and breast milk. Of all these fluids, only breast milk provides access to a large volume of breast tissue, in the form of exfoliated epithelial cells, and to the local breast environment, in the form of molecules in the milk. Thus, analysis of breast milk is a non-invasive method with significant potential for assessing BC risk. Here we analyzed human breast milk by mass spectrometry (MS)-based proteomics to build a biomarker signature for early detection of BC. Ten milk samples from 8 women provided 5 paired-groups (cancer versus control) for analysis of differentially expressed proteins: 2 within woman comparisons (milk from a diseased breast versus a healthy breast of the same woman) and 3 across women comparisons (milk from a woman with cancer versus a woman without cancer). Despite a wide range in the time between milk donation and cancer diagnosis (cancer diagnosis occurred from 1 month before to 24 months after milk donation), the levels of some proteins differed significantly between cancer and control in several of the 5 comparison groups. These pilot data are supportive of the idea that molecular analysis of breast milk will identify proteins informative for early detection and accurate assessment of BC risk, and warrant further research.
2017-12-18 | PXD007066 | Pride
Project description:Biomarker discovery in breast cancer (BC) is a clinical need for therapeutics and non-invasive diagnostics. In a single study, we provide a comparative differential proteomic profile of four invasion, metastasis, angiogenesis and drug resistance. Exosome proteome profile reflects their different BC cell origin suggesting potential indicators of BC subtype. Further, our pathway inference analysis reveals a differential role of exosomes in BC signalling pathways in recipient cells, according to their protein cargo and cell origin. Our results may significantly contribute to further studies for the design of BC biomarker predictor to stratify BC patients and the development of novel therapeutic strategies.BC cell lines and their derived- exosomes, representative of the most relevant BC subtypes in clinic. Differentially-expressed proteins, in both cells and exosomes, include indicators of
2024-10-17 | PXD024304 | Pride
Project description:Breast cancer is a profoundly heterogeneous disease with respect to biological and clinical behavior. Gene expression profiling has been used to dissect this complexity and stratify tumors into intrinsic gene expression subtypes associated with distinct biology, patient outcome and different genomic alterations. Additionally, breast tumors occurring in individuals with germline BRCA1 or BRCA2 mutations typically fall into distinct subtypes. We applied global DNA copy number and gene expression profiling in 359 breast tumors. All tumors were classified according to intrinsic gene expression subtypes and included cases from genetically predisposed women. The Genomic Identification of Significant Targets in Cancer (GISTIC) algorithm was used to identify significant DNA copy number aberrations and genomic subgroups of breast cancer. We identified 31 genomic regions that were highly amplified in >1% of the 359 breast tumors. Several amplicons were found to co-occur, the 8p12 and 11q13.3 regions being the most frequent combination besides amplicons on the same chromosomal arm. Unsupervised hierarchical clustering with 133 significant GISTIC regions (66 and 67 with DNA copy number gain and loss, respectively) revealed six genomic subtypes, termed: 17q12, basal-complex, luminal-simple, luminal-complex, amplifier and mixed subtype. Four of them had striking similarity to intrinsic gene expression subtypes and showed association to conventional tumor biomarkers and clinical outcome. However, luminal A-classified tumors were distributed in two main genomic subtypes, luminal-simple and luminal-complex, the former group having better prognosis while the latter group included also luminal B and the majority of BRCA2-mutated tumors. The basal-complex subtype displayed extensive genomic homogeneity and harbored the majority of BRCA1-mutated tumors. The 17q12 subtype comprised mostly HER2-amplified and HER2-enriched subtype tumors and had the worst prognosis. The amplifier and mixed subtypes contained tumors from all gene expression subtypes, the former being enriched for 8p12-amplified cases while the mixed subtype included many tumors with predominantly DNA copy number losses and poor prognosis. Genomic profiling of 359 breast tumors using tiling BAC aCGH. A number of cases were hybridized as replicates or replicate as dye-swaps. Gene expression profiling of 359 breast tumors using 55K oligonucleotide microarrays.
2010-06-23 | E-GEOD-22133 | biostudies-arrayexpress
Project description:Breast Cancer (BC) is one of the main causes of cancer-related death in women. The most widespread BC subtype (75%) is the hormone-dependent, characterized by high expression of Estrogen Receptor Alpha (ERa). ERa exerts its oncogenic activity through the interaction with different co-regulators, carrying out a direct control on gene transcription and thus being the target of specific anticancer therapies. Despite the efficiency of these drugs, 30% of patients develop de novo or acquired resistance mechanisms, caused by alternative mechanisms that bypass antiestrogenic effects determining the onset of relapse. In order to identify new and potentially drugable Era molecular partners, essential genes for BC progression in luminal cell lines assessed by CRISPR-cas assay were compared to ERa interactome, dropping our focus on the tyrosine-protein kinase BAZ1B. BAZ1B is an essential component of the WICH complex and plays a crucial role in chromatin remodelling acting also as transcription regulator. In order to characterize the functional role of BAZ1B in luminal BC, we first employed a TCGA analysis that showed higher expression of BAZ1B in luminal BC associated with a worst overall survival and progression free survival of patient affected by this disease. A transcriptome profiling after BAZ1B silencing was performed in MCF-7 cells, highlighting an impact of modulated genes in key BC pathways including the estrogen signalling. BAZ1B silencing showed also an effect on cell growth, inhibiting cell proliferation and increasing apoptosis activation mechanisms promoted by the loss of ERa protein expression coupled to a reduction of the receptor transactivation activity. Interesting, these effects were confirmed also in antiestrogen (Tamoxifen and Fulvestrant) resistant BC cell models that retain ERa expression, suggesting BAZ1B as a novel and potentially exploitable therapeutic target in the treatment of both hormone dependent and resistant mammary tumours.
2022-07-25 | E-MTAB-11142 | biostudies-arrayexpress
Project description:Breast cancer (BC) is the most common cancer in women worldwide, and is classified in multiple subtypes, including the so called triple-negative BC (TNBC). This is characterized by lack of estrogen receptor alpha (ERα), progesterone receptor (PR) and epidermal growth factor receptor 2 (HER2/neu), that represent common targets for BC treatment. Their absence limits the number of therapies that may be applied for TNBC treatment, suggesting the need to identify novel therapeutic targets against this disease. Several studies reported that the beta ER subtype (ERβ) is expressed in a sizeable fraction of TNBCs where its presence correlates with improved patient outcome. We evaluated ERβ expression in TNBC tissues by immunohistochemistry using two validated antibodies, demonstrating presence of this protein in 28% of samples. To investigate, in this context, the role of this estrogen receptor in TNBC biology, ERβ-expressing cell lines, representing different TNBC subtypes, were generated. Cellular and functional assays confirmed the antiproliferative activity of ERβ in TNBCs. Interaction proteomics revealed in BC nuclei the presence of several protein complexes associated with this receptor involved in chromatin remodeling, miRNA maturation and mRNA transcription. Transcriptome analyses pointed out tumor subtype-specific signaling pathways deregulation. Interestingly, among these the cholesterol biosynthesis pathway was commonly downregulated in all cell lines tested. Global analyses of ERβ binding to the genome showed its recruitment to regulatory sites of Sterol Regulatory Element-Binding Protein 1 (SREBP1), indicating a direct regulation of this pathway by the receptor. These findings suggest that drugs targeting components of cholesterol biosynthesis pathway may be new potential therapeutic options for TNBC treatment.
2019-12-02 | E-MTAB-8056 | biostudies-arrayexpress
Project description:Breast Cancer (BC) remains a major cause of mortality, and early detection is considered important for reducing BC-associated deaths. Early detection of BC is challenging in young women, due to the limitations of mammography on the dense breast tissue of young women. We recently reported results of a pilot study, using one-dimensional polyacrylamide gel electrophoresis (1D-PAGE)-based mass spectrometry (MS) to investigate differences in milk proteins from women with and without BC. Here, we applied two-dimensional polyacrylamide gel electrophoresis (2D-PAGE)-based MS to compare the protein pattern in milk from the breasts of a single woman who was diagnosed with BC in one breast 24 months after donating her mil. Statistically different gel spots were picked for protein digestion followed by nanoLC-MS/MS analysis. The upregulated proteins in BC versus control are alpha-amylase, gelsolin isoform a precursor, alpha-2-glycoprotein 1 zinc isoform CRA_b partial, apoptosis-inducing factor 2 and vitronectin. Several proteins were downregulated in the milk of the breast later diagnosed with cancer as compared to the milk from the healthy breast, including different isoforms of albumin, cholesterol esterase, different isoforms of lactoferrin, different proteins from the casein family and different isoforms of lysozyme. Results warrant further studies to determine the usefulness of these milk proteins for assessing risk and detecting occult disease.
2018-06-25 | PXD009860 | Pride
Project description:We sought to build a catalog of epitopes presented by breast cancers using a renewable resource of well-characterized breast cancer cell lines. Starting from 70 breast cancer cell lines, we measured MHC class I abundance and used pre-existing RNAseq data to identify either HLA-A*02 or MHC class I-positive cell lines. For 20 of these cell lines, we used “reverse” immunogenetics, in which MHC class I-loaded peptides are recovered and their sequences are determined by mass spectrometry. We identified more than 2,700 unique MHC class I-bound peptides from a panel of basal, luminal, and claudin-low subtype of cell lines. HLA-A*02 binding prediction across all tested cell lines revealed a model which described the distribution of HLA-A*02-binding peptides and allowed us to identify those peptides most likely to be presented on HLA-A*02. Comparing the peptides that we identified to published literature found that more than 1500 peptides had been identified in previous studies and that 18 of these peptides have been shown to be immunogenic. Overall, this high throughput identification of MHC class I-loaded peptides is an effective strategy for systematic characterization of cancer epitopes and could be employed in a design of multipeptide-based anticancer vaccine.
2018-01-16 | PXD006406 | Pride
Project description:Here we present a functional multi-omics method, interaction-Correlated Multi-omic Aberration Patterning or iC-MAP, which dissects intra-tumor heterogeneity and identifies in situ in real time the oncogenic consequences of multi-omics aberrations that drive proliferative/invasive tumor in individuals with poor prognosis. First, given epigenetic aberrations resulting from complex interactions between genetic susceptibility and environmental influences are the primary driving force of tumorigenesis, we applied our chromatin activity-based chemoproteomics (ChaC) method to characterize the tumor-phenotypic epiproteomes (epigenetic regulatory proteomes) in breast cancer (BC) patient tissues. A biotinylated ChaC probe UNC0965 that specifically binds to the oncogenically active histone methyltransferase G9a enabled the sorting/enrichment of a G9a-interacting epiproteome representing the predominant BC subtype in a tissue, which is separated from other cell types, especially non-malignant cells where G9a is less enzymatically active. ChaC then identified UNC0965-captured G9a interactors that are mostly involved in the oncogenic pathways associated with tumor cell viability and invasion. Using BC patient transcriptomic/genomic data we retrospectively identified the G9a interactor-encoding genes that show individualized iC-MAP in BC-subtypic patients with incurable metastatic disease, revealing essential drivers of proliferative or invasive BC phenotypes. Our iC-MAP findings can not only act as new diagnostic/prognostic markers to identify patient subsets with metastatic disease but also create precision therapeutic strategies that can match proliferative or invasive potential of individual patients.
2019-07-26 | PXD013795 | Pride
Project description:The pathogenesis of diffuse large B cell lymphomas (DLBCL) is only partly understood. We analyzed 148 DLBCL by high resolution single nucleotide polymorphism (SNP)-chips to characterize genomic imbalances. Seventy-nine cases were of the germinal center B-cell like (GCB) type of DLBCL, 49 of the activated B-cell like (ABC) subtype and 20 were type 3 DLBCL. Twenty-four regions of recurrent genomic gains and 38 regions of recurrent genomic losses were identified over the whole cohort, with a median of 25 imbalances per case for ABC-DLBCL and 19 per case for GCB-DLBCL. Several recurrent copy number changes showed differential frequencies in the GCB- and ABC-DLBCL subgroups, including gains of HDAC7A predominantly in GCB-DLBCL (38% of cases) and losses of BACH2 and CASP8AP2 predominantly in ABC-DLBCL (35%), hinting at disparate pathogenetic mechanisms in these entities. Correlating gene expression and copy number revealed a strong gene dosage effect in all tumors, with 34% of probesets showing a concordant expression change in affected regions. Two new potential tumor suppressor genes emerging from the analysis, CASP3 and IL5RA, were sequenced in 10 and 16 candidate cases, respectively. However, no mutations were found, pointing to a potential haploinsufficiency effect of these genes, considering their reduced expression in cases with deletions. This work thus describes differences and similarities in the landscape of genomic aberrations in the DLBCL subgroups in a large collection of cases, confirming already known targets, but also discovering novel copy number changes with possible pathogenetic relevance. Affymetrix HGU133A arrays were performed according to the manufacturer's directions on RNA extracted from cryopreserved lymph node biopsies of tumor samples.
2014-07-22 | E-GEOD-57611 | biostudies-arrayexpress