A Myc transcriptional program that is independent of EMT drives a poor prognosis tumor-propagating phenotype in HER2+ breast cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE43730 | GEO | 2013/09/24
SECONDARY ACCESSION(S): PRJNA187182
REPOSITORIES: GEO
Similar Datasets
Project description:The HER2 (ERBB2) and MYC genes are commonly amplified genes in breast cancer, yet little is known about their molecular and clinical interaction. Using a novel chimeric mammary transgenic approach and in vitro models, we demonstrate markedly increased self renewal and tumour propagating capability of cells transformed with Her2 and c-Myc. Co-expression of both oncogenes in cultured cells led to a pronounced activation of a c-Myc transcriptional signature and acquisition of a self renewing phenotype independent of an EMT programme or regulation of cancer stem cell markers. We show that HER2 and c-MYC are frequently co-amplified in a clinical breast cancer cohort and that co-amplification is strongly associated with aggressive clinical behaviour and poor outcome. Lastly, we show that in patients receiving adjuvant chemotherapy (but not targeted anti-HER2 therapy), MYC amplification is associated with a poor outcome in HER2+ breast cancer patients. These findings demonstrate the importance of molecular context in oncogenic transformation and acquisition of a malignant stem-like phenotype and have important diagnostic and therapeutic consequences for the clinical management of HER2+ breast cancer. Gene expression analysis of Her2, Myc, and Her2 + Myc over expression on MCF10A cells, with MCF10A vector control comparison
2013-09-24 | E-GEOD-43730 | biostudies-arrayexpress
Project description:We demonstrate that the loss of CDK12 protein or activity, unlike CDK9 or CDK7, significantly upregulates the expression of certain genes, including genes whose activation contributes to the anti-proliferative effects of CDK12 inhibition. In HER2+ breast cancer, a malignancy where CDK12 is almost invariably co-amplified with HER2, CDK12 inhibition drives up the expression of MYC, which is toxic to HER2+ cancer cells. This upregulation of c-myc largely mediates the killing effect of CDK12 inhibition. Therefore, we report a novel mode of regulation of gene expression via CDK12, which represents a promising target for cancer driven by HER2 gene amplification.
2024-02-12 | GSE181905 | GEO
Project description:Purpose HER2 gene amplification or protein overexpression (HER2+) defines a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. We aimed to investigate the heterogeneous biological appearance and clinical behavior of HER2+ tumors using molecular profiling. Materials and Methods Hierarchical clustering of gene expression data from 58 HER2-amplified tumors of various stage, histological grade and estrogen receptor (ER) status was used to construct a HER2-derived prognostic predictor that was further evaluated in several large independent breast cancer data sets. Results Unsupervised analysis identified three subtypes of HER2+ tumors with mixed stage, histological grade and ER-status. One subtype had a significantly worse clinical outcome. A prognostic predictor was created based on differentially expressed genes between the subtype with worse outcome and the other subtypes. The predictor was able to define patient groups with better and worse outcome in HER2+ breast cancer across multiple independent breast cancer data sets and identify a sizable HER2+ group with long disease-free survival and low mortality. Significant correlation to prognosis was also observed in basal-like, ER−, lymph node positive or high-grade tumors, irrespective of HER2-status. The predictor included genes associated to immune response, tumor invasion and metastasis. Conclusion The HER2-derived prognostic predictor provides further insight into the heterogeneous biology of HER2+ tumors and may become useful for improved selection of patients that need additional treatment with new drugs targeting the HER2 pathway. Array comparative genomic hybridization (aCGH) identified 58 breast tumors with amplification of HER2 from a larger cohort of approx 500 tumors breast. Global gene expression profiles were obtained using 70-mer oligonucleotide microarrays. Unsupervised hierarchical clustering of the 58 tumors, using Pearson correlation and complete linkage, identified three main clusters. One cluster showed significantly poorer clinical outcome. Significance of microarray (SAM) analysis was performed to identify 158 genes separating the poor outcome cluster compared to the other two clusters. Gene expression centroids, based on the 158 genes, were created for each cluster for validation in independent breast cancer data sets.
2010-03-16 | E-GEOD-18328 | biostudies-arrayexpress
Project description:Purpose HER2 gene amplification or protein overexpression (HER2+) defines a clinically challenging subgroup of breast cancer with variable prognosis and response to therapy. We aimed to investigate the heterogeneous biological appearance and clinical behavior of HER2+ tumors using molecular profiling. Materials and Methods Hierarchical clustering of gene expression data from 58 HER2-amplified tumors of various stage, histological grade and estrogen receptor (ER) status was used to construct a HER2-derived prognostic predictor that was further evaluated in several large independent breast cancer data sets. Results Unsupervised analysis identified three subtypes of HER2+ tumors with mixed stage, histological grade and ER-status. One subtype had a significantly worse clinical outcome. A prognostic predictor was created based on differentially expressed genes between the subtype with worse outcome and the other subtypes. The predictor was able to define patient groups with better and worse outcome in HER2+ breast cancer across multiple independent breast cancer data sets and identify a sizable HER2+ group with long disease-free survival and low mortality. Significant correlation to prognosis was also observed in basal-like, ER−, lymph node positive or high-grade tumors, irrespective of HER2-status. The predictor included genes associated to immune response, tumor invasion and metastasis. Conclusion The HER2-derived prognostic predictor provides further insight into the heterogeneous biology of HER2+ tumors and may become useful for improved selection of patients that need additional treatment with new drugs targeting the HER2 pathway.
2010-03-16 | GSE18328 | GEO
Project description:We established an acquired trastuzumab-resistant model in vitro from a trastuzumab-sensitive, HER2-amplified breast-cancer cell line. A multi-omic strategy was implemented to obtain gene, proteome, and phosphoproteome signatures associated with acquired resistance to trastuzumab in HER2-positive breast cancer, followed by validation in human clinical samples.
2020-06-01 | PXD010574 | Pride
Project description:<p>DNA Inverted Repeats as an At-risk Motif for Palindromic Gene Amplificatio defines oncogene amplification that is configured as a series of inverted duplications (palindromic gene amplification). There are several, recurrently amplified oncogenes throughout the human genome. However, it remains unclear whether this recurrent amplification is solely a manifestation of increased fitness resulting from random amplification mechanisms, or if genomic locus-specific amplification mechanism plays a role. </p> <p>In this study, we show that the ERBB2 oncogene at 17q12 is susceptible to palindromic gene amplification in HER2-positive breast tumors. We investigated eight tumors in this study, of which five tumors were HER2-positive, and three tumors were HER2-negative. HER2-status was determined by clinical FISH tests. We applied three genomic approaches to investigate the amplification mechanism: (1) copy number analysis by array-CGH on the Affymetrix SNP6.0 platform (8 files), (2) sequencing of DNA libraries enriched with tumor-derived palindromic DNA (Genome-wide Analysis of Palindrome Formation, GAPF-seq) (8 files) and (3) unbiased whole genome sequencing (WGS) (1 file). These molecular data is made available in the dbGaP. </p> <p>Genomic studies using tumor DNA was approved under the Internal Institutional Review Board at the Cleveland Clinic (IRB07-136: EXEMPT: Chromosome Breakage and DNA Palindrome Formation). Specimens were obtained and methods were carried out under the auspices of IRB 7881 (Evaluation of Genetic and Molecular Markers in Patients with Breast Cancer). All patients consented to allow their cancer specimens to be used by researchers in an anonymized fashion. The consent form indicates that publication will take place without identifiers to protect the identity of any specific individual.</p> <p>We observed significant and enrichment of palindromic DNA within amplified ERBB2 genomic segments in four out of five HER2-positive tumors. None of three HER2-negative tumors showed such enrichment. Palindromic DNA was particularly enriched at amplification peaks and boundaries between amplified and normal copy-number regions. Thus, palindromic gene amplification shaped the amplified ERBB2 locus. The moderate enrichment of palindromic DNA throughout the amplified segments leads us to propose that the ERBB2 locus is amplified through a mechanism that repeatedly generates palindromic DNA, such as Breakage-Fusion-Bridge cycles. Our results reveal a potential interaction between local genomic environments and gene amplification mechanisms. </p> <p>This study is published under the title "Palindromic amplification of the ERBB2 oncogene in primary HER2-positive breast tumors" <a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=28211519" target="_blank">(PMID:28211519)</a>. </p>
| phs001261 | dbGaP
Project description:A subset of HER2 breast cancers with amplification of the TFAP2C gene locus becomes addicted to AP-2g. We sought to define AP-2g-regulated genes that control growth and invasiveness by comparing HER2 cell lines with differential response to TFAP2C knockdown. A set of 68 differentially expressed genes was identified, which included CDH5 and CDKN1A. Pathway analysis implicated the MAPK13/p38δ and retinoic acid regulatory nodes, which were confirmed to display divergent responses. The AP-2g gene signature was highly predictive of outcome in HER2-positive breast cancer patients. We conclude that AP-2g regulates a set of genes in HER2 breast cancer that drive cancer growth and invasiveness and that the AP-2g gene signature can predict outcome of patients with HER2 breast cancer.
2020-04-13 | GSE126897 | GEO
Project description:Amplification of chromosome 17q23 is a frequent genomic event that occurs in ~ 11% of human breast cancers. The 17q23 amplification is enriched in HER2+ breast cancers, which is significantly correlated with poor clinical outcomes. Previous studies have identified the oncogenic phosphatase WIP1 gene in the amplicon, which functions as a master inhibitor in DNA damage response. While the possibility of any other protein-coding oncogenes in the WIP1-containing 17q23 amplicon was ruled out, our analysis of human breast cancer genomics uncovered an oncogenic microRNA gene, MIR21, in a majority of the WIP1-containing amplicons. Interestingly, DEAD-box helicase 5 (DDX5), co-amplified with WIP1 and MIR21 in the 17q23 amplicon, facilitates the essential processing of primary miR-21 transcripts. Accordingly, the 17q23 amplification results in aberrant expression of WIP1 and miR-21, which not only promotes breast tumorigenesis, but also leads to resistance to anti-HER2 therapies. Inhibiting WIP1 and miR-21 using small molecular inhibitor against WIP1 (GSK2830371) and anti-miR-21 oligonucleotides selectively inhibits the proliferation, survival and tumorigenic potential of HER2+ breast cancer cells harboring 17q23 amplification. However, the in vivo bioavailability of the two agents in their free form is poor. To overcome the resistance of trastuzumab-based therapies in vivo, we developed pH-sensitive nanoparticles for specific co-delivery of the two agents into breast tumors. The nanoparticles consist of four materials approved by the Food and Drug Administration (FDA) for medical use: Poly (d,l-lactide-co-glycolide) (PLGA), Pluronic F127 (PF127), chitosan, and 1,2-dipalmitoyl-sn-glycerol-3-phosphocholine (DPPC). Moreover, chitosan was modified with guanidine to form chitosan-guanidine (CG), which not only can improve the encapsulation efficiency of anti-miR-21 oligonucleotides but also effectively capture carbon dioxide (CO2) into the nanoparticle to achieve the ‘nano-bomb’ effect for triggered drug release under the reduced pH in tumors. The two agents (inhibitors of miR-21 and WIP1)-laden nanoparticles can be used to efficiently kill trastuzumab-resistant HER2+ breast cancer cells, leading to a profound reduction of the tumor growth in vivo. These results demonstrate the great potential of the combined treatment of WIP1 and miR-21 inhibitors for the HER2+ breast cancers resistant to anti-HER2-based therapies.
2018-10-03 | GSE119210 | GEO
Project description:The human epidermal growth factor receptor 2 (HER2) gene encodes a tyrosine kinase receptor that controls important signal transduction pathways in breast cancer. Amplification and overexpression of the HER2 gene occurs in approximately 20% of breast cancers and is associated with an aggressive clinical phenotype. Trastuzumab, a humanized monoclonal antibody that targets HER2 showed exceptional efficacy in the treatment of breast cancer. In the adjuvant treatment of breast cancer patients, five randomized trials showed significant benefit of trastuzumab, with a reduction in the rate of recurrence of approximately 50% and improvement in the rate of survival of approximately 30%. In the current study, positive early stage breast cancer samples treated with adjuvant trastuzumab provided by institute Jules Bordet (IJB) and KUL. Gene expression and clinical outcome data were available. to better understand the genetic regulations and effects of the trastuzumab, we profile the the genes expression of positive early stage breast cancer samples treated with adjuvant trastuzumab.
2016-12-31 | GSE58984 | GEO
Project description:Background: Breast cancer is a heterogeneous neoplasm. Distinct subtypes of breast cancer have been defined, suggesting the existence of molecular differences contributing to their clinical outcomes. However, the molecular differences between HER2 positive and negative breast cancer tumors remain unclear. Objective: The aim of this study was to identify a gene expression profile for breast tumors based on HER2 status. Material and methods: The HER2 status was determined by immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) in 54 breast tumor samples. Using Affymetrix microarray data from these breast tumors, we established the expression profiling of breast cancer based on HER2 IHC and FISH results. To validate microarray experiment data, real-time quantitative reverse transcription-PCR was performed. Results: We found significant differences between the HER2-positive and HER2-negative breast tumor samples, which included overexpression of HER2, as well as other genes located on 17q12, and genes functionally related to migration. Conclusion: Our study shows the potential of integrated genomics profiling to shed light on the molecular knowledge of HER2-positive breast tumors. The tumor samples under study correspond to 54 primary breast carcinomas. They included 15 cases with a HER2 IHC3+ score with HER2 gene amplification, 13 cases with IHC2+ score with amplification and 13 without HER2 gene amplification, and 13 cases IHC0/1+ score without HER2 gene amplification. 12 samples of breast normal tissues from breast cancer patients were also included as a reference. Neither overexpression nor amplification of HER2 was observed.
2011-12-22 | E-GEOD-29431 | biostudies-arrayexpress