A liquid biopsy signature of circulating exosome-derived mRNAs, miRNAs and lncRNAs predict therapeutic efficacy to neoadjuvant chemotherapy in patients with advanced gastric cancer
Quick Facts
- Publication title: A liquid biopsy signature of circulating exosome-derived mRNAs, miRNAs and lncRNAs predict therapeutic efficacy to neoadjuvant chemotherapy in patients with advanced gastric cancer
- Journal: Mol Cancer
- Year: 2022
- DOI: 10.1186/s12943-022-01684-9
- PMID/PMCID: 36510184; PMC9743536
Research overview
At present, there is no validated marker to identify the subpopulation of patients with advanced gastric cancer (AGC) who might benefit from neoadjuvant chemotherapy (NACT). Furthermore, we established a 6-exosome-RNA panel that could robustly identified responders from non-responders treated with fluorouracil-based neoadjuvant chemotherapy.
Key findings
At present, there is no validated marker to identify the subpopulation of patients with advanced gastric cancer (AGC) who might benefit from neoadjuvant chemotherapy (NACT).
In view of this clinical challenge, the identification of non-invasive biomarkers for efficacy prediction of NACT in patients with AGC is imperative.
Herein, we aimed to develop a non-invasive, liquid-biopsy-based assay by using an exosome-derived RNAs model based on multi-omics characteristics of RNAs.
We firstly used a multi-omics strategy to characterize the mRNAs, microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) profiles of circulating exosome enriched fractions in responders to NACT paired with non-responders, using RNA sequencing.
Echo Biotech Role
Echo Biotech contributed EV isolation and purification, EV characterization, whole-transcriptome sequencing, qPCR validation.
Related platforms: Exoomics®
Related services and capabilities: Biofluid EV Isolation & Purification, EV Basic Characterization (TEM/NTA/WB), EV Whole-Transcriptome Sequencing, qPCR Validation
References
Original publication: A liquid biopsy signature of circulating exosome-derived mRNAs, miRNAs and lncRNAs predict therapeutic efficacy to neoadjuvant chemotherapy in patients with advanced gastric cancer Mol Cancer. 2022. DOI: 10.1186/s12943-022-01684-9. PMID/PMCID: 36510184; PMC9743536.