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Esophageal squamous cell carcinoma related gene analysis using genome analysis and exploration of biomarkers related to synchronous and metachronous cancers in other organs and prognosis prediction

Esophageal squamous cell carcinoma related gene analysis using genome analysis and exploration of biomarkers related to synchronous and metachronous cancers in other organs and prognosis prediction - Esophageal squamous cell carcinoma related gene analysis using genome analysis and exploration of biomarkers related to synchronous and metachronous cancers in other organs and prognosis prediction

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000056557
Enrollment
30
Registered
2024-12-25
Start date
2024-04-14
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Esophageal squamous cell carcinoma

Interventions

None listed

Sponsors

Tokyo Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients aged 20 years or over 2. Patients diagnosed with squamous cell carcinoma of the esophagus at our hospital 3. Patients who have consented to participate in this study by signing the consent form.

Exclusion criteria

Exclusion criteria: 1. Patients who did not give consent to participate in this study 2. Patients with severe complications (heart failure, renal failure, hepatic failure, respiratory failure) 3. Patients judged to be unsuitable for participation in this study for other reasons.

Design outcomes

Primary

MeasureTime frame
Analysis of risk factors and associated mutation signatures in superficial oesophageal squamous cell carcinoma.

Secondary

MeasureTime frame
1. Analysis of metachronous second cancers in other organs and related mutation signatures in superficial esophageal squamous cell carcinoma 2. Analysis of mutation signatures by stage in esophageal squamous cell carcinoma 3. Analysis of mutation signatures that contribute to carcinogenesis in high-risk groups with esophageal squamous cell carcinoma 4. Analysis of mutation signatures associated with recurrence and prognosis in esophageal squamous cell carcinoma 5. AI-integrated analysis of genomic factors, including AI analysis of endoscopic images

Countries

Japan

Contacts

Public ContactSakiko Naito

Tokyo Medical University Department of Gastroenterology and Hepatology

sakiko-n@tokyo-med.ac.jp03-3342-6111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026