RNA-seq of HER2-positive breast cancer BT474 cell line in response to KDM5 ihibition
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ABSTRACT:
PROVIDER: PRJEB29951 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2930220_1.fastq.gz | Fastqsanger.gz | |||
| ERR2930220_2.fastq.gz | Fastqsanger.gz | |||
| ERR2930221_1.fastq.gz | Fastqsanger.gz | |||
| ERR2930221_2.fastq.gz | Fastqsanger.gz | |||
| ERR2930222_1.fastq.gz | Fastqsanger.gz |
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Project description: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.
2019-02-01 | E-MTAB-7433 | biostudies-arrayexpress
Project description:These data provide scientific information to understand the mechanism of action of lapatinib resistance in HER2-positive patients and to test the combination of HER2-targeted agents and GSK1363089 (foretinib) in the clinic by using an acquired lapatinib-resistant cell line. Cell lines (BT474, an HER2-positive and lapatinib-sensitive cell line; BT474-J4, an acquired lapatinib-resistant cell line) were treated with lapatinib alone (1uM), foretinib (GSK1363089) alone (0.1 uM), a combination of lapatinib (1 uM) and foretinib (0.1 uM), or DMSO control for 24 hours. Triplicates were performed.
2011-09-19 | E-GEOD-16179 | biostudies-arrayexpress
Project description:The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes. While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation. The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well. Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment. In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells. The significant genes of the first two tests should contribute to resistance. The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect. To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version. This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines. mRNA profiles of human breast cancer cell lines were generated by deep sequencing using Illumina HiSeq 2000. The cell lines BT474 and HCC1954 were analyzed with and without trastuzumab treatment. HCC1954 is known to be trastuzumab resistant. Additionally, the cell line BTR50 was generated as resistant version of BT474, and was analyzed with and without trastuzumab as well.
2015-04-21 | E-GEOD-55005 | biostudies-arrayexpress
Project description:The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes. While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation. The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well. Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment. In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells. The significant genes of the first two tests should contribute to resistance. The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect. To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version. This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines.
2015-04-21 | GSE55005 | GEO
Project description:Gene expression analysis on MEL-18-knockdown BT474 cells. MEL-18, a polycomb group protein and a member of the polycomb repressive complex 1 (PRC1), have suggested as a tumor suppressor in several cancer, including breast cancer. The results provides that the depletion of MEL-18 in HER2-positive breast cancer causes the activation of ErbB signaling pathway. We proposed that MEL-18 is a novel prognostic and therapeutic marker for HER2-positive breast cancer.
2018-07-31 | GSE92504 | GEO
Project description:Patient-derived primary HER2+ Leptomeningeal carcinomatosis (Lepto) cell lines were established. RNA-seq in various breast cancer cell lines were conducted to characterize the established cell lines. Gene expression analysis clearly indicated thatt Lepto cell lines are transcriptionally different from HER2 positive and negative metastatic breast cancer cell lines such as BT474 and MDA-MB-231 cells.
2021-07-05 | GSE179280 | GEO
Project description:Gene expression profiling were examined by Human HT-12 v4.0 Expression BeadChip arrays in SKBR3 and BT474 cells treated with HER2 inhibitor lapatinib or CDK7 inhibitor THZ1.
2021-05-21 | GSE129254 | GEO
Project description:Lymph node status is a crucial predictor for the overall survival of invasive breast cancer. However, lymph node involvement is only detected in about half of HER2 positive patients. Currently, there are no biomarkers available for distinguishing small size HER2-positive breast cancers with different lymph node statuses. Thus, in the present study, we applied label-free quantitative proteomic strategy to construct plasma proteomic profiles of ten patients with small size HER2-positive breast cancers (5 patients with lymph node metastasis versus 5 patients with lymph node metastasis).
2018-02-08 | PXD007217 | Pride
Project description:This SuperSeries is composed of the following subset Series: GSE34523: BT474 tumors in the presence or absence of SHP2 GSE34524: MCF10A-HER2/3 cells grown in 3D cultures in the presence or absence of SHP2 Refer to individual Series
2011-12-20 | E-GEOD-34525 | biostudies-arrayexpress
Project description:The goal of our study is to build an integrated transcriptome landscape model for HER2 positive breast tumors and identify the crucial signaling pathways associated with HER2 tumors. Genomic features include, 685 genes that were differentially expressed only in HER2-positive tumors, 102 genes that were alternatively spliced in a pattern that is unique to HER2-positive tumors, and 303 genes that expressed single nucleotide sequence variants (eSNVs) that were unique to HER2-positive tumors. Network analysis was performed to integrate the genomic features into a transcriptome landscape model that identified 12 highly interconnected cellular processes that appear to be critical to the establishment and maintenance of HER2-positive tumors. We observed that integrin signaling was linked to lapatinib sensitivity in vitro and strongly associated with risk of relapse in the NCCTG N9831 adjuvant trastuzumab clinical trial dataset. We analyzed RNA-seq data from a survey panel consisting of 8 benign breast lesions, 8 ER+, 8 triple negative, and 8 HER2-positive primary breast tumors to identify genomic features that were uniquely associated with HER2-positive tumors
2013-12-06 | E-GEOD-45419 | biostudies-arrayexpress