First-in-human testing of FID-022 in solid tumor patients
Official title: AI-Driven Early Detection of Cachexia in Pancreatic Cancer and Feasibility of Diet and Exercise Interventions
Run by H. Lee Moffitt Cancer Center and Research Institute · NCT07249775 · Data updated 2026-11-12
This project will test an AI tool to spot early cancer-related weight loss and see if diet and exercise support are acceptable for people with newly diagnosed pancreatic cancer.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | H. Lee Moffitt Cancer Center and Research Institute Academic / other |
| Locations | 1 site (Tampa, Florida) |
| Status | Recruiting |
| Started | October 8, 2025 |
| Main results expected | October 2026 |
| Study ends | October 2026 |
| Registry record updated | January 28, 2026 |
| Trial ID | NCT07249775 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (≥18) with histologically or clinically confirmed pancreatic exocrine cancer, ECOG 0-2, able to take oral nutrition, able to read and speak English, and likely to receive systemic therapy are the intended participants.
✕Probably not a fit
People who are pregnant or breastfeeding, currently receiving enteral or parenteral nutrition, or with medical conditions such as significant ascites that preclude accurate assessment may not receive benefit from the interventions tested.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational effort combines retrospective records from the Florida Pancreas Collaborative with prospective enrollment of newly diagnosed pancreatic cancer patients at Moffitt Cancer Center. Researchers will validate a multimodal AI model that uses clinical, imaging, and lifestyle data to detect early cancer-associated cachexia. Enrolled participants will complete baseline lifestyle and symptom assessments, extended lifestyle monitoring, and a feasibility survey about diet and exercise interventions. The study will describe how well the AI predicts early weight and muscle loss and whether patients find the proposed nutritional and activity supports practical and acceptable.
Why it matters
Potential benefit: If successful, the project could enable earlier detection of cachexia and support timely diet/exercise approaches that may preserve weight, strength, and quality of life.
How similar studies have gone: Related predictive-modeling work and nutrition/exercise programs for cancer cachexia have shown mixed but encouraging early results, while multimodal AI specifically applied to pancreatic cancer cachexia remains relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years * Histologically or cytologically confirmed diagnosis of pancreatic exocrine malignancy (e.g.pancreatic ductal adenocarcinoma, acinar cell carcinoma, pancreatic adenosquamous carcinoma, etc.) or clinical features highly suggestive of such malignancy with diagnostic confirmation anticipated during the screening or early study period. * Presentation consistent with resectable, borderline resectable, local, or locally advanced, or metastatic disease * May or may not have had surgery * Treatment plan likely includes systemic therapy for pancreatic cancer * ECOG performance status 0-2 * Able to tolerate oral intake and not currently receiving enteral or parenteral nutrition * Able to read and speak English * Able to provide written informed consent Exclusion Criteria: * Pregnant or breastfeeding at the time of enrollment * Current use of tube feeding (enteral) or total parenteral nutrition * Presence of ascites or other findings suggestive of decompensated disease * Evidence or history of bowel obstruction or any gastrointestinal condition that may limit food intake * Severe or uncontrolled psychiatric illness (e.g., psychosis, dementia) that would interfere with participation * Presence of other uncontrolled intercurrent illnesses (e.g., infection, heart failure, liver failure) that may interfere with protocol adherence
Where it's running
-
Moffitt Cancer Center
Tampa, Florida, United States Recruiting
Study contacts
- Principal investigator: Ghulam Rasool, PhD — Moffitt Cancer Center
- Study coordinator: Sanjukta Bhattacharjee
- Email: Sanjukta.Bhattacharjee@moffitt.org
- Phone: 813-745-0279
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Evaluating JMT203 for patients with cancer cachexia
This study is testing a new treatment called JMT203 to see if it can help people with cancer cachexia feel better and improve their health.
-
Integrated genomic and clinical database for cancer biomarker discovery
Researchers are building a combined genomic and clinical database at Samsung Medical Center to test biomarkers for cancer diagnosis, treatment choice, and predicting how well treatments work.
-
Using contrast-enhanced ultrasound to check for local pancreatic cancer recurrence after surgery
This pilot test uses contrast-enhanced ultrasound to see if it can help detect return of pancreatic cancer after surgery in patients being watched with CT scans.
-
Combination of ivermectin with standard skin-protective care for daraxonrasib-related skin toxicity in pancreatic cancer
This study tests whether adding ivermectin to standard preventive skin care helps people with pancreatic cancer who develop skin side effects from daraxonrasib.
-
Becotatug Vedotin Plus Anti-PD-1 and S-1 in EGFR-Positive Advanced Pancreatic Cancer
This study tests a three-drug regimen (becotatug vedotin, an anti-PD-1 therapy, and S-1) in adults with EGFR-positive advanced pancreatic cancer who have not responded to at least one prior therapy.
-
Blood protein biomarkers to help diagnose pancreatic cancer in adults
This study tests whether blood protein biomarkers can help detect pancreatic ductal adenocarcinoma and tell it apart from chronic pancreatitis and mucinous pancreatic lesions, and whether combining markers with CA 19-9 improves accuracy.
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.