Recruitment

Recruitment Status
Recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Chemotherapy Effect
  • Gastric Cancer
  • Predictive Cancer Model
Type
Observational
Design
Observational Model: Case-ControlTime Perspective: Prospective

Participation Requirements

Age
Between 20 years and 80 years
Gender
Both males and females

Description

discovery and validation of biomarker predicting gastric cancer chemotherapy response Analysis for expression level of mRNA in fresh frozen gastric cancer tissue by chemotherapy response (A) method of mRNA expression measurement: RNA sequencing (B) study group Palliative chemotherapy (inoperable pat...

discovery and validation of biomarker predicting gastric cancer chemotherapy response Analysis for expression level of mRNA in fresh frozen gastric cancer tissue by chemotherapy response (A) method of mRNA expression measurement: RNA sequencing (B) study group Palliative chemotherapy (inoperable patients) institutional primary Chemotherapy regimen (XP or Xelox) response group progression group Post-OP adjuvant chemotherapy institutional primary Chemotherapy regimen complete response group non-responder group and 2) groups: age, sex, regimen matched Analysis for expression level of miRNA using Next generation sequencing in gastric cancer tissue and blood by chemotherapy response (A) method of mRNA expression measurement: RNA sequencing (B) study group the same patients in mRNA sequencing Validation of mRNA and miRNA in multiple independent cohort method of measurement of RNA expression: qRT-PCR Biological biomarkers-clinical factor combined prediction model of gastric cancer chemotherapy response combination of biologic biomarker and clinical factors to predict the chemotherapy response in gastric cancer

Tracking Information

NCT #
NCT03253107
Collaborators
Not Provided
Investigators
Principal Investigator: Su Youn Nam, MD, PhD Kyungpook National University Medical Center