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Single patient classifier as a prognostic biomarker in pT1N1 gastric cancer: Results from two large Korean cohorts
- Source :
- Chinese Journal of Cancer Research
- Publication Year :
- 2021
- Publisher :
- Chinese Journal of Cancer Research, 2021.
-
Abstract
- Objective Benefits of adjuvant treatment in pT1N1 gastric cancer (GC) remain controversial. Additionally, an effective biomarker for early GC is the need of the hour. The prognostic and predictive roles of single patient classifier (SPC) were validated in stage II/III GC. In this study, we aimed to elucidate the role of SPC as a biomarker for pT1N1 GC. Methods The present retrospective biomarker study (NCT03485105) enrolled patients treated for pT1N1 GC between 1996 and 2012 from two large hospitals (the Y cohort and S cohort). For SPC, mRNA expression of four classifier genes (GZMB, WARS, SFRP4 and CDX1) were evaluated by real-time reverse transcription-polymerase chain reaction assay. The SPC was revised targeting pT1 stages and the prognosis was stratified as high- and low-risk group by the expression of SFRP4, a representative epithelial-mesenchymal transition marker. Results SPC was evaluated in 875 patients (n=391 and 484 in the Y and S cohorts, respectively). Among 864 patients whose SPC result was available, 41 (4.7%) patients experience GC recurrence. According to revised SPC, 254 (29.4%) patients were classified as high risk [123 (31.5%) and 131 (27.1%) in the Y and S cohorts, respectively]. The high risk was related to frequent recurrence in both Y and S cohort (log-rank P=0.023, P
- Subjects :
- Oncology
Cancer Research
medicine.medical_specialty
Chemotherapy
animal structures
business.industry
medicine.medical_treatment
fungi
Hazard ratio
Cancer
Stage ii
chemotherapy
medicine.disease
Single patient
Internal medicine
Cohort
biomarker
Medicine
Biomarker (medicine)
Original Article
Prognostic biomarker
prognosis
Gastric cancer
business
Subjects
Details
- ISSN :
- 10009604
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Cancer Research
- Accession number :
- edsair.doi.dedup.....f3cbd5c47428c877cc9151b6a8f1dc52