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Multi-cohort machine-learning prognostic signature identifies ANKRD6 as a driver of gastric cancer progression

Multi-cohort machine-learning prognostic signature identifies ANKRD6 as a driver of gastric cancer progression

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117990
Enrollment
Unknown
Registered
2026-01-30
Start date
2026-02-03
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Gastric cancer

Interventions

Observation group of gastric cancer:None
Independent gastric cancer cohort data from public databases such as TCGA and GEO:None

Sponsors

The First Affiliated Hospital of Anhui Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
35 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients pathologically diagnosed with gastric cancer after surgery; 2. Patients who underwent surgical resection; 3. Patients with complete clinical records and follow-up data.

Exclusion criteria

Exclusion criteria: 1. Multiple primary cancers at different sites; 2. Histological types other than adenocarcinoma, such as squamous cell carcinoma, neuroendocrine tumors, etc.; 3. Death within 30 days after surgery.

Design outcomes

Primary

MeasureTime frame
The mRNA expression of multiple genes (ANKRD6 MATN3 NOX4 SALL2 TRIM25);Postoperative survival status and survival time;—

Countries

China

Contacts

Public ContactWang Xingyu; Zhang Jianlin

The First Affiliated Hospital of Anhui Medical University

zhangjianlin@ahmu.edu.cn+86 136 3708 2504

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 7, 2026