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SRX7262325: GSM4201689: MKN1_24h_Afa_1; Homo sapiens; RNA-Seq
1 ILLUMINA (Illumina NovaSeq 6000) run: 72.6M spots, 14.7G bases, 4.1Gb downloads

Submitted by: NCBI (GEO)
Study: Effects of EGF, cetuximab, trastuzumab and afatinib on gene expression in gastric cancer cell lines
show Abstracthide Abstract
The antibody trastuzumab in combination with platin-fluoropyrimidine chemotherapy is the standard of care for patients with HER2-positive recurrent or metastatic gastric cancer. Alternative treatment options and biomarkers for prediction of therapy response are needed since some patients do not respond to trastuzumab therapy or develop acquired resistance. We compared the molecular effects of trastuzumab and other HER-targeting drugs cetuximab and afatinib. We also tested the hypothesis that the treatment-dependent regulation of a gene indicates its importance for response, and therefore it may be used as biomarker for patient stratification. The four gastric cancer cell lines Hs746T, MKN1, MKN7 and NCI-N87 were treated with EGF, cetuximab, trastuzumab or afatinib for 4 or 24 hours. The effect on gene expression was then measured by RNA sequencing and the resulting candidate biomarkers were tested in an available cohort of gastric cancer patients or were functionally analyzed in vitro. Treatment with afatinib resulted in the highest number of regulated genes, followed by cetuximab and trastuzumab. Although trastuzumab had little effects on gene expression, we identified BMF, HAS2 and SHB as candidate biomarkers for trastuzumab response. HAS2 and SHB were confirmed as potential predictive markers for trastuzumab therapy response in clinical specimens. AREG, EREG and HBEGF were identified as candidate biomarkers for afatinib and cetuximab treatment. The functional analysis confirmed HBEGF as resistance factor for cetuximab. By confirming HAS2, SHB and HBEGF as biomarkers for anti-HER therapies, we provide evidence that the regulation of gene expression after treatment can be used for biomarker discovery. Overall design: Gastric cancer cell lines were treated with EGF, cetuximab, trastuzumab and afatinib in biological triplicates
Sample: MKN1_24h_Afa_1
SAMN13471328 • SRS5757884 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina NovaSeq 6000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: PAIRED
Construction protocol: Quality and integrity of total RNA was controlled on Agilent Technologies 2100 Bioanalyzer (Agilent Technologies; Waldbronn, Germany). The RNA sequencing library was generated from 500ng total RNA using Dynabeads® mRNA DIRECT™ Micro Purification Kit (Thermo Fisher) NEBNext® Ultra™ II Directional RNA Library Prep Kit (New England BioLabs) according to manufacture´s protocols
Experiment attributes:
GEO Accession: GSM4201689
Links:
Runs: 1 run, 72.6M spots, 14.7G bases, 4.1Gb
Run# of Spots# of BasesSizePublished
SRR1058189572,593,94014.7G4.1Gb2020-11-02

ID:
9534630

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