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Series GSE158969 Query DataSets for GSE158969
Status Public on Oct 15, 2020
Title Assessing biosimilarity of Trastuzumab monoclonal antibody therapeutics using RNA sequencing
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Patents of some therapeutic monoclonal antibodies (mAb) used for cancer treatment are ending soon, allowing for the entry of similar analogs (biosimilars) onto the market. To have a biosimilar approved by health agencies, the manufacturer must typically demonstrate functional and physicochemical similarity between the biosimilar and the approved reference product. Functional similarity is often validated with cell-based assays, but the information gained is limited. In contrast, RNA-seq methods enable a sensitive transcriptomic analysis, providing detailed information on pathways and cellular responses. Trastuzumab inhibits signaling of the cell-surface receptor HER2, which is overexpressed in approximately 30% of all breast cancer patients. Here, we compare the functional effect of the mAb Trastuzumab and a corresponding biosimilar. The BT-474 breast cancer cell line was treated with the reference product, Trastuzumab (Herceptin®), or a proposed biosimilar (ApoTras), and the cellular transcriptomes were analyzed by RNA-seq. Functional similarity was assessed using two statistical contrasts. One contrast evaluated the mechanism of action by comparing treated samples (Her and ApoTras, n = 19) vs. untreated controls (n = 10), which identified 2623 differentially expressed genes (DEG) at a minimum fold change of 1.25. The other contrast directly compared ApoTras (n = 9) vs. Her (n = 10) to determine differences in expression between treatments and identified 24 DEG using a 1.25 fold- change threshold. This low DEG number reveals a very high similarity of effect of both mAb treatments on the cancer cells. A gene set overrepresentation analysis of DEG for mAb treatments revealed mechanisms of action, which were consistent with known trastuzumab effects. Supporting the small number of changes between both treatments, a post-hoc power analysis for the between-treatment comparison estimated power of 0.88 to detect a gene expression fold-changes of 2.0. To summarize these data, we introduce an overall similarity index (SI) to quantify treatment similarity based on changes in gene expression. Using statistical contrasts with RNA-seq analysis provides a powerful tool for the comparison of biological effects of biosimilar and originator compounds and can be broadly used for functional comparisons of drug treatments.
 
Overall design We compared changes in gene expression of mRNAs in BT-474 cells untreated or treated with Herceptin or a biosimilar of it by RNA-seq. Paired-End Sequencing of samples with Illumina HiSeq Sequencing
 
Contributor(s) Rinas K, McConkey B, Mooney S
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Submission date Oct 03, 2020
Last update date Oct 06, 2020
Contact name Karsten Rinas
E-mail(s) krinas@uwaterloo.ca
Organization name University of Waterloo
Department Biology
Lab Brendan J McConkey
Street address 200 University Ave W
City Waterloo
State/province ON
ZIP/Postal code N2L3G1
Country Canada
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (30)
GSM4816746 Untreated Control mRNA sample, replicate 1
GSM4816747 Untreated Control mRNA sample, replicate 2
GSM4816748 Untreated Control mRNA sample, replicate 3
Relations
BioProject PRJNA667165
SRA SRP286256

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE158969_RSEM_expected_counts.xlsx 7.0 Mb (ftp)(http) XLSX
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Raw data are available in SRA
Processed data are available on Series record

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