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Systematic Identification of Molecular Signatures Dictating Therapeutic Effects of Clinically First-Line Chemotherapy
Jingwei Yang1,2,3,4,5,6, Shuyue Qi1,3,7, Yuan Gao1,2,3
1Biomedical Pioneering Innovative Center, Department of General Surgery Third Hospital Peking University Beijing China.
Abstract:
Chemotherapy is the mainstay in the treatment of advanced gastric cancer (GC); yet, GC showed diverse responses to first-line chemotherapy regimens and the underlying molecular basis is still not clear. Here, we established a system that combined organoid-based chemotherapy regimen screening and transcriptome-based evaluation to identify underlying molecular signatures of different responses to chemotherapy. We generated 19 GC patient-derived organoids (PDOs) from surgically resected specimens with corresponding histological characteristics of parent tumors and tested all of the five most commonly used first-line chemotherapy regimens. Based on the treatment responses, PDOs were classified into double-sensitive, single-sensitive, and not-sensitive groups. PDOs that responded well to chemotherapy presented high expression levels of the P53 pathway genes and low expression levels of cell proliferative activity genes. Furthermore, the chemotherapy-based tumor classification of GC was established. The GC tumor classification was verified by multi-omics features from the TCGA dataset and public drug response datasets. In conclusion, this study systematically evaluated clinical chemotherapy regimens for GC and identified chemotherapy response-associated molecular signatures based on human GC organoids, which are beneficial to the precise treatments of GC.
Insights
This study used patient-derived organoids to screen chemotherapy for gastric cancer (GC). Researchers identified molecular signatures linked to chemotherapy response, aiding precise GC treatments.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Advanced gastric cancer (GC) treatment relies on chemotherapy, but responses vary widely.
- The molecular drivers of diverse chemotherapy responses in GC remain unclear.
Purpose of the Study:
- To develop a system combining organoid screening and transcriptome analysis for identifying molecular signatures of chemotherapy response in GC.
- To establish a GC tumor classification based on chemotherapy response.
Main Methods:
- Generated 19 patient-derived organoids (PDOs) from GC specimens.
- Screened five common first-line chemotherapy regimens against PDOs.
- Performed transcriptome-based evaluation to identify molecular signatures associated with treatment response.
Main Results:
- Classified PDOs into double-sensitive, single-sensitive, and not-sensitive groups based on chemotherapy response.
- Identified high P53 pathway gene expression and low cell proliferation gene expression in responsive PDOs.
- Established and validated a GC tumor classification using multi-omics data.
Conclusions:
- This study systematically evaluated clinical chemotherapy regimens for GC using PDOs.
- Identified chemotherapy response-associated molecular signatures in GC.
- Findings support precise treatment strategies for GC patients.
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