Spatial multi-omics and AI-based early warning for pancreatic cancer cachexia
Official title: Spatial Multi-omics Mechanism Analysis and Multimodal Intelligent Early Warning of Cachexia in Pancreatic Cancer
Run by Peking Union Medical College Hospital · NCT07670286 · Data updated 2026-11-12
This study tests whether spatial multi-omics data can reveal how the tumor and body metabolism interact in pancreatic cancer cachexia and whether a multimodal AI model can predict cachexia early in adults with pancreatic ductal adenocarcinoma.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 500 (estimated) |
| Sponsor | Peking Union Medical College Hospital Academic / other |
| Locations | 1 site (Beijing) |
| Status | Recruiting |
| Started | April 24, 2026 |
| Main results expected | January 1, 2028 |
| Study ends | August 31, 2028 |
| Registry record updated | June 26, 2026 |
| Trial ID | NCT07670286 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) with pathologically confirmed pancreatic ductal adenocarcinoma, ECOG 0-2 or KPS ≥60, and consent to participation.
✕Probably not a fit
Patients with very advanced disease or those not experiencing cachexia risk may derive little direct benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is an observational study in adults with pathologically confirmed pancreatic ductal adenocarcinoma designed to explore the spatial distribution of omics data and its relation to cachexia. It will collect baseline questionnaires, imaging, and biological samples, and compare cachexia patterns between surgical and advanced patient cohorts. The goal is to build a high-precision multimodal AI model to detect cachexia early and to describe differences in cachexia incidence and progression across subgroups. The study does not assign an intervention and focuses on understanding mechanisms and developing a predictive framework. Eligibility includes adults with PDAC, adequate organ function, and an ECOG 0-2 or KPS ≥60, with informed consent.
Why it matters
Potential benefit: If successful, the approach could enable earlier detection of cachexia in pancreatic cancer, potentially guiding timely supportive care.
How similar studies have gone: Prior research in cancer cachexia has explored omics and AI-based prediction, but this exact multimodal, spatial-omics approach in pancreatic cancer cachexia is exploratory.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with pathologically confirmed pancreatic ductal adenocarcinoma. * Aged ≥18 years with an expected survival time of ≥1 month (to be assessed for the advanced cohort). Assessment criteria: Comprehensive evaluation based on the patient's radiological tumor burden, vital organ function and physical status. Specific quantitative indicators: Eastern Cooperative Oncology Group (ECOG) performance status score of 0-2, or Karnofsky Performance Status (KPS) score of ≥60. For patients in the advanced cohort, the assessment shall be jointly confirmed by two attending physicians with the professional title of associate chief physician or above in combination with radiological examination results. * Voluntarily sign the informed consent form. Exclusion Criteria: * Complicated with other untreated malignant tumors or severe mental disorders. * Pregnant women or patients unable to cooperate with follow-up.
Where it's running
-
Peking Union Medical College Hospital
Beijing, China Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.