An Integrated Epigenomic and Genomic View on Phyllodes and Phyllodes-like Breast Tumors
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE179458 | GEO | 2021/07/07
REPOSITORIES: GEO
Similar Datasets
Project description:An Integrated Epigenomic and Genomic View on Phyllodes and Phyllodes-like Breast Tumors
| PRJNA743886 | ENA
Project description:We generated large-scale proteome data for 65 human breast tumors and 53 paired adjacent non-cancerous tissue and performed an integrated proteotranscriptomic characterization. To our best knowledge, the study is one of the largest quantitative proteomic study of human breast tissues, including the analysis of 118 tissue samples from 65 patients with long-term survival outcomes. Our data show that protein expression describes a tumor biology that is only partly captured by the transcriptome, with mRNA abundance incompletely predicting protein abundance in tumors, and even less so in non-cancerous tissue. Furthermore, the tumor proteome described disease pathways and subgroups that were only partially captured by the tumor transcriptome.
2018-12-04 | PXD005692 | Pride
Project description:A significant proportion of breast cancer patients develop multiple synchronous unilateral breast tumors, also referred to as multifocal tumors, which represent a diagnostic and therapeutic challenge. Multifocality has been associated with a possible adverse patient outcome, propensity for axillary nodal involvement, and increased risk of local recurrence following breast conserving surgery when compared to unifocal tumors. Previous studies indicate that most lesions from multifocal tumors are concordant with regard to the currently used pathological parameters (histological subtype and grade, hormonal receptors and HER2 status). However, to our knowledge, no study has yet provided a detailed molecular analysis of multifocal breast cancer. Here, we aimed to better define the incidence of multifocal breast cancer using a systematic analysis of pathology reports of primary breast cancers and to compare different foci from 5 multifocal breast cancers in a global analysis using genomic, transcriptomic and epigenomic data. We demonstrate that multifocality is a frequent finding since it concerns 22% (945/4340) of breast cancer patients with primary ductal breast cancer. We find that different lesions from multifocal breast cancer can differ at the (epi)genomic and transcriptomic level even when the foci present similar histology, grading, hormonal and HER2 status despite having a common genetic background. Since the number of (epi)genetic alterations with potential clinical utility is rapidly growing due to increasing numbers of targeted therapies, these findings suggest that it might be necessary to interrogate the different lesions of multifocal breast cancers for adequate treatment management of these tumors. The biological characterization of multifocal breast cancer here is focused on 5 cancers for which the foci did not differ in terms of histological grade, hormonal receptors and HER2 status. The characterization of multifocal tumors involved the identification of somatic rearrangements in 2 foci from each patient via low-coverage whole genome sequencing. Putative rearrangements were amplified by polymerase chain reaction (PCR) and capillary sequenced in tumor and matching blood-derived germline DNA to validate the somatic rearrangements. For all patients, the presence of a number of validated rearrangements was assessed in different paraffin blocks of tumor-adjacent histologically normal tissue by nested PCR. We also performed transcriptomic and epigenomic profiling in 4 and 5 patients respectively using the HG-U133 Plus 2.0 Chips and Infinium Methylation 450K arrays (RNA was not available for patient E).
2018-12-21 | GSE39451 | GEO
Project description:Breast tumors: different structures of tumor cell
| PRJNA319933 | ENA
Project description:Set of 65 surgical specimens of human breast tumors from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumor. Twenty of the tumors were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumors were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumor samples from the same individual were almost always more similar to each other than either was to any other sample. This study is described more fully in Perou CM et al.(2000) Nature 406:747-52 Keywords: other
2002-06-27 | GSE61 | GEO
Project description:Set of 65 surgical specimens of human breast tumors from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. Gene expression variation patterns within this set provided a distinctive molecular portrait of each tumor. Twenty of the tumors were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumors were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumor samples from the same individual were almost always more similar to each other than either was to any other sample. This study is described more fully in Perou CM et al.(2000) Nature 406:747-52
2002-06-27 | E-GEOD-61 | biostudies-arrayexpress
Project description:Microarray is widely used to monitor gene expression changes in breast cancer. The transcriptomic changes in breast cancer is commonly occured during the transition of normal cells to cancerous cells. This is the first study on gene expression profiling of multi ethnic of Malaysian breast cancer patients (Malays, Chinese and Indian). We aim to identify differentially expressed genes between tumors and normal tissues. We have identified a set of 33 significant differentially expressed genes in the tumor vs. normal group at p<0.001. We study the gene expression patterns of 43 breast tumors and their paired normal control by using Affymetrix genechip U133A. We have identified a set of 33 significant differentially expressed genes in the tumor vs. normal group at p<0.001. Experiment Overall Design: Total RNAs were extracted from breast cancer and normal tissues. Samples were processed and hybridized on the chip for 16 hours. At the end of the study, we obtained a total of 86 set of gene expression data, which were from 43 tumors and 43 normal tissues. The gene expression were then compared between the tumor and normal groups.
2009-05-02 | E-GEOD-15852 | biostudies-arrayexpress
Project description:Microarray is widely used to monitor gene expression changes in breast cancer. The transcriptomic changes in breast cancer is commonly occured during the transition of normal cells to cancerous cells. This is the first study on gene expression profiling of multi ethnic of Malaysian breast cancer patients (Malays, Chinese and Indian). We aim to identify differentially expressed genes between tumors and normal tissues. We have identified a set of 33 significant differentially expressed genes in the tumor vs. normal group at p<0.001. We study the gene expression patterns of 43 breast tumors and their paired normal control by using Affymetrix genechip U133A. We have identified a set of 33 significant differentially expressed genes in the tumor vs. normal group at p<0.001.
2009-04-28 | GSE15852 | GEO
Project description: Not available
| S-EPMC3906004 | biostudies-literature