Identification of combinatorial miRNA panels derived from extracellular vesicles as biomarkers for esophageal squamous cell carcinoma

Quick Facts

  • Publication title: Identification of combinatorial miRNA panels derived from extracellular vesicles as biomarkers for esophageal squamous cell carcinoma
  • Journal: MedComm
  • Year: 2023
  • DOI: 10.1002/mco2.377
  • PMID/PMCID: 37731947; PMC10507283

Research overview

In the present study, four miRNA species miR-636, miR-7641, miR-28-3p, and miR-1246 that were differentially expressed in ESCC patients were chosen for further study. In summary, our studies revealed that plasma EVs-derived miRNAs could be emerged as promising biomarkers for ESCC diagnosis.

Key findings

MicroRNAs (miRNAs) are relatively stable in blood, emerging as one of the most promising biomarkers in tumor liquid biopsy.

Both total and extracellular vesicles (EVs) encapsulated miRNA have been studied for prognostic potential in a variety of cancers.

Here, we systematically compared and verified the total and vesicle-derived miRNA expression profiles from plasma samples in healthy controls and patients with esophageal squamous cell carcinoma (ESCC).

In the present study, four miRNA species miR-636, miR-7641, miR-28-3p, and miR-1246 that were differentially expressed in ESCC patients were chosen for further study.

Echo Biotech Role

Echo Biotech contributed EV isolation and purification, EV characterization, miRNA profiling/sequencing and bioinformatic analysis; the study also used or cited Exosupur®.

Related platforms: Exoomics®, Research Reagents & Tools

Related services and capabilities: Biofluid EV Isolation & Purification, EV Basic Characterization (TEM/NTA/WB), EV miRNA Profiling / Sequencing, Research Reagent / Product Supply

Related products or reagents: Exosupur® EV Isolation/Purification Kit

References

Original publication: Identification of combinatorial miRNA panels derived from extracellular vesicles as biomarkers for esophageal squamous cell carcinoma MedComm. 2023. DOI: 10.1002/mco2.377. PMID/PMCID: 37731947; PMC10507283.