Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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RNA-seq of HER2-positive breast cancer BT474 cell line in response to KDM5 ihibition

ABSTRACT: Alterations in the histone methylation profiles are observed in various types of cancer and targeting of this epigenetic process has therapeutic potential. Here we provide proof-of-principle that pharmacological targeting of KDM5 histone-demethylases is a new strategy for the personalized treatment of HER2-positive breast cancer. This analysis demonstrates that cells characterized by HER2-positivity are particularly sensitive to KDM5 inhibition. The results are confirmed in an appropriate in vivo model with a close structural analogue (KDM5-inh1A). In selected HER2-positive breast cancer cells, we demonstrate synergistic interactions between KDM5-inh1 and HER2-targeting agents (trastuzumab and lapatinib). In addition, HER2-positive cell lines showing innate/acquired resistance to trastuzumab show sensitivity to KDM5-inh1. The levels of KDM5A/B/C proteins, which are selectively targeted by the agent, have no significant association with KDM5-inh1 responsiveness across our panel of breast cancer cell lines, suggesting the existence of other determinants of sensitivity. Using RNA-sequencing data of the breast cancer cell lines, we generate a gene-expression model, consisting of fifteen genes, which is a robust predictor of KDM5-inh1 sensitivity. In a test set of breast cancers, this model correctly predicts sensitivity to the compound in a large fraction of HER2+ tumors. In conclusion, KDM5 inhibition has potential in the treatment of HER2+ breast cancer and our gene-expression model can be developed into a diagnostic tool to select patients who may benefit from treatments based on KDM5-inhibitors.

INSTRUMENT(S): NextSeq 500

ORGANISM(S): Homo sapiens

SUBMITTER: MARCO BOLIS

PROVIDER: E-MTAB-7433 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:HER2 targeting with trastuzumab has changed the prognosis of breast cancer patients carrying amplification and/or overexpression of this oncogene. Despite this progress, however, resistance to trastuzumab occurs in the vast majority of patients. Newer anti-HER2 therapies, like the dual tyrosine-kinase inhibitor (TKI) lapatinib, show antitumor activity in a limited proportion of patients, indicating that HER2 can be still exploited as a target after trastuzumab failure. However, due to the high proportion of patients that fail to respond to these alternative strategies, it is reasonable to assume that cells escaping HER2 targeting may rely on alternative pathways not involving HER2 to sustain their growth. Their knowledge is relevant for exploiting new therapies. To investigate this hypothesis we generated a human HER2 overexpressing breast cancer cell line resistant to trastuzumab and lapatinib (T100) and we have characterized it genetically and molecularly. In T100 cells, the previously proposed mechanisms of resistance to HER2 inhibitors did not explain cell escape. Notably, silencing HER2 by shRNA did not affect the growth of T100 cells, suggesting loss of reliance upon HER2. Among the alternative pathways that we explored, altered levels of the antiapoptoptic proteins Mcl-1 and Survivin were observed. This suggested the possibility of targeting resistant cells with the multitarget inhibitor sorafenib. Moreover, sorafenib, nearly inactive in parental cells, strongly inhibited the in vitro growth of T100 cells. In conclusion, we provide a new model where the activation of HER2 independent mechanisms sustains the growth of tumor cells, significantly increasing the sensitivity to sorafenib. Keywords: HER2, breast cancer, resistance, trastuzumab, lapatinib, sorafenib Total RNA was isolated using TRIZOL reagent (Life Technologies, Gathersburg, MD) and quantified by Bioanalyzer 2100 (Agilent Technologies); following the isolation procedure, mRNA was amplified starting from 1μg using MessageAmp II aRNA Amplification kit (Ambion Inc. Austin TX, USA). Ammino-allyl modified nucleotides were incorporated in in vitro transcription step according to the manufacturer’s protocol. Labeling was performed using NHS (N-hydroxysuccinimidyl) ester Cy3 or Cy5 dies (GE Healthcare Europe GMBH, Upsala - Sweden) able to react with the modified RNA. At least 5 μg of mRNA, for each sample, were labeled and purified with columns respectively. The Dye-Swap replication procedure was applied, in order to increase the accuracy of results. Samples were hybridized on 44K glass arrays (Agilent Technologies). Arrays were scanned and the images obtained were analyzed by the Feature Extraction software Agilent (version 9.5) and the text files were then processed using the Bioconductor package Limma (Linear models for microarray analysis).

Project description:The paper describes a model on the trastuzumab-induced immune response in murine(mouse) HER2+ breast cancer. Created by COPASI 4.25 (Build 207) This model is described in the article: Mathematical modelling of trastuzumab-induced immune response in an in vivo murine model of HER2+ breast cancer Angela M. Jarrett, Meghan J. Bloom, Wesley Godfrey, Anum K. Syed, David A. Ekrut, Lauren I. Ehrlich, Thomas E. Yankeelov, Anna G. Sorace Mathematical Medicine and Biology: A Journal of the IMA (2018) 00, 1–30 Abstract: The goal of this study is to develop an integrated, mathematical–experimental approach for understanding the interactions between the immune system and the effects of trastuzumab on breast cancer that overexpresses the human epidermal growth factor receptor 2 (HER2+). A system of coupled, ordinary differential equations was constructed to describe the temporal changes in tumour growth, along with intratumoural changes in the immune response, vascularity, necrosis and hypoxia. The mathematical model is calibrated with serially acquired experimental data of tumour volume, vascularity, necrosis and hypoxia obtained from either imaging or histology from a murine model of HER2+ breast cancer. Sensitivity analysis shows that model components are sensitive for 12 of 13 parameters, but accounting for uncertainty in the parameter values, model simulations still agree with the experimental data. Given theinitial conditions, the mathematical model predicts an increase in the immune infiltrates over time in the treated animals. Immunofluorescent staining results are presented that validate this prediction by showing an increased co-staining of CD11c and F4/80 (proteins expressed by dendritic cells and/or macrophages) in the total tissue for the treated tumours compared to the controls. We posit that the proposed mathematical–experimental approach can be used to elucidate driving interactions between the trastuzumab-induced responses in the tumour and the immune system that drive the stabilization of vasculature while simultaneously decreasing tumour growth—conclusions revealed by the mathematical model that were not deducible from the experimental data alone. This model is hosted on BioModels Database and identified by: MODEL1907050004. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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RNA-seq of HER2-positive breast cancer BT474 cell line in response to KDM5 ihibition

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