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Identification of diagnostic genes for colorectal cancer patients based on machine learning and experimental validation

Identification of diagnostic genes for colorectal cancer patients based on machine learning and experimental validation

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121752
Enrollment
Unknown
Registered
2026-04-02
Start date
2026-04-15
Completion date
Unknown
Last updated
2026-04-14

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

Conditions

Colorectal cancer

Interventions

normal group:no
Colorectal cancer group:no

Sponsors

The First People's Hospital of Yibin
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. The patient has not undergone preoperative radiotherapy or chemotherapy; 2. The patient is diagnosed with primary colorectal cancer; 3. Complete clinical staging and medical history records are available; 4. Colorectal adenocarcinoma is confirmed through histopathological review by two pathologists in a double-blind manner; 5. The tumor staging is stage I-III.

Exclusion criteria

Exclusion criteria: 1. The patient has received preoperative radiotherapy or chemotherapy; 2. The patient refuses to sign the informed consent form; 3. The patient has complications of tumor rupture, perforation, and systemic infection.

Design outcomes

Primary

MeasureTime frame
Colorectal neoplasia differentially expressed (CRNDE);Scavenger Receptor Class A Member 5 (SCARA5);—

Countries

China

Contacts

Public ContactYang Xue

The First People's Hospital of Yibin

953026459@qq.com+86 134 3809 6097

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 17, 2026