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Precision diagnosis for pulmonary enteric adenocarcinoma based on artificial intelligence and multi-omics signatures

Precision diagnosis for pulmonary enteric adenocarcinoma based on artificial intelligence and multi-omics signatures

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036897
Enrollment
Unknown
Registered
2020-08-25
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-21

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

Conditions

pulmonary enteric adenocarcinoma

Interventions

pulmonary enteric adenocarcinoma (PEAC):no
pulmonary metastases of colorectal carcinoma (MCC):no

Sponsors

Shanghai Chest Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients received surgical resection from 2013-2020; 2. Patients with confirmed pathological diagnosis with PEAC and MCC.

Exclusion criteria

Exclusion criteria: 1. Patients with diagnosis that cannot meet the 2015 WHO classification which was confirmed by three experienced pathologists; 2. Patients with no colonoscopy or cannot provide detailed clinical history; 3. Patients with no follow-ups.

Design outcomes

Primary

MeasureTime frame
whole scanned histopathology slides;DNA methylation profiling;proteomics profiling;—

Countries

China

Contacts

Public ContactChan Xiang

Shanghai Chest Hospital

chanxiang88@163.com+86 13402197055

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026