Skip to content

Systemic Oxidative Stress Score as a Predictor of Gastric Cancer Survival and Recurrence Risk

The Clinical Value of Systemic Oxidative Stress Score in Predicting Long-term Survival and Recurrence Risk in Gastric Cancer: A Multicenter Real-world Cohort Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06337279
Enrollment
3820
Registered
2024-03-29
Start date
2022-12-10
Completion date
2024-03-20
Last updated
2024-03-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastric Cancer

Keywords

Oxidative stress, Gastric cancer, Recurrence, Disease-free survival, Systemic Oxidative Stress Score

Brief summary

The Systemic Oxidative Stress Score (SOSS) , a comprehensive score reflecting the oxidative stress conditions in the microenvironment, can independently and effectively predict tumor burden and long-term prognosis in GC patients. Nomograms based on SOSS provide a potential and promising model for risk stratification and guiding the implementation of treatment decisions.

Detailed description

We retrospectively analyzed the clinical data of gastric cancer patients who underwent radical gastrectomy in three hospitals from January 2009 to June 2020. The data from one hospital were randomly divided into a training cohort and an internal validation cohort in a 7:3 ratio, while the data from the other two centers were used as an external validation cohort. In the training cohort, COX proportional risk models were employed to identify key indicators of SOSS and independent prognostic factors influencing patients' OS and DFS. Subsequently, based on the results of the multifactor COX analysis, two predictive models for OS and DFS were developed. The predictive efficacy, calibration, and clinical utility of the models were evaluated using ROC curves, calibration curves, and decision curves in the internal and external validation cohorts, respectively. Both models demonstrated good discriminative ability between postoperative survival and recurrence risk, outperforming TNM staging in terms of predictive accuracy.

Interventions

None listed

Sponsors

Fujian Medical University Union Hospital
CollaboratorOTHER
Fujian Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

1\) gastroscopic histopathological diagnosis of gastric adenocarcinoma; 2) radical gastrectomy for GC; 3) preoperative examination of oxidative indicators including Fbg, CHOL, ALB, TBIL, DBIL, and CR within seven days before surgery; and 4) the tumor did not invade neighboring organs or had no distant metastasis.

Exclusion criteria

1\) gastroscopic histopathological diagnosis of non-adenocarcinoma, 2) gastric stump cancer, 3) neoadjuvant chemotherapy, 4) other malignant diseases besides GC, 5) incomplete medical records, and 6) patients with GC lost to follow-up.

Design outcomes

Primary

MeasureTime frameDescription
5-year OS5 years or 60 monthsOverall survival, death, survival with tumor, deletion.
5-year DFS5 years or 60 monthsDisease-free survival, death,recurrence

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026