Algorithm to predict treatment outcomes in advanced cancer patients
Official title: PROPHETIC - Predicting Responsiveness in Oncology Patients Based on Host Response Evaluation During Anti Cancer Treatments
Run by OncoHost Ltd. · NCT04056247 · Data updated 2026-05-14
This study is no longer in our active list. It may have stopped recruiting or finished. The details below are as of 2026-05-14 and are kept for reference. Check ClinicalTrials.gov for its current status, or see similar studies below.
This study is testing a new tool to help doctors predict how well standard treatments will work for patients with advanced lung cancer and melanoma.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | OncoHost Ltd. Industry-sponsored |
| Locations | 41 sites (Birmingham, Alabama and 40 other locations) |
| Trial ID | NCT04056247 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients diagnosed with stage IV NSCLC or stage IV malignant melanoma who meet specific health criteria.
✕Probably not a fit
Patients with concurrent active malignancies or significant mental impairments may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to develop an algorithm that predicts treatment outcomes for patients with stage IV non-small cell lung cancer (NSCLC) and malignant melanoma. Patients will receive standard cancer treatments while providing blood samples and clinical data, which will be used to create and validate the prediction algorithm. The study seeks to identify metabolic pathways that may lead to improved therapeutic options, ultimately assisting physicians in making informed treatment decisions.
Why it matters
Potential benefit: If successful, this algorithm could help tailor cancer treatments to individual patients, potentially improving their outcomes.
How similar studies have gone: Other studies have explored predictive algorithms in oncology, showing promise in improving treatment outcomes, but this specific approach is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Cancer patients with stage IV NSCLC or stage IV malignant melanoma * Patient must have at least one measurable lesion and the relevant images in order to enable assessment of response * ECOG PS - 0/1-2 * Normal hematologic, renal and liver function: 1. Absolute neutrophil count higher than 1500/mm3 2. Platelets count higher than 100,000/mm3 3. haemoglobin higher than 9 g/dL 4. Creatinine concentration ≤1.4 mg/dL, or creatinine clearance higher than 40 mL/min 5. Total bilirubin lower than 1.5 mg/dL, ALT and AST levels ≤ 3 times above the upper normal limit. Exclusion Criteria: * Concurrent and/or other active malignancy that has required systemic treatment within 2 years of first dose of study drug * Generalized impairment or mental incompetence that would render the patient unable to understand his/her participation in the study.
Where it's running
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Birmingham VAHCS
Birmingham, Alabama, United States Recruiting -
Mayo Clinic
Jacksonville, Florida, United States Recruiting -
University of Miami
Miami, Florida, United States Recruiting -
Florida Cancer Specialist and Research Institute
Orlando, Florida, United States Recruiting -
Protean Biodiagnosics
Orlando, Florida, United States Recruiting -
Northwest Community Healthcare
Rolling Meadows, Illinois, United States Recruiting
Show 35 more locations
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Helen Nassif Community Cancer Center
Cedar Rapids, Iowa, United States Recruiting -
Rutgers Cancer Institute
New Brunswick, New Jersey, United States Recruiting -
Roswell Park
Buffalo, New York, United States Recruiting -
West Clinic
Germantown, Tennessee, United States Recruiting -
Michael E. Debakey VA Medical Center
Houston, Texas, United States Recruiting -
151-Christus Health St. Michael
Texarkana, Texas, United States Recruiting -
Asklepois
Gauting, Germany Recruiting -
Thoraxklinik Heidelberg gGmbH
Heidelberg, Germany Recruiting -
Haemek Medical Center
Afula, Israel Recruiting -
Barzilai Medical Center
Ashkelon, Israel Recruiting -
Shamir Medical Center
Be'er Ya'aqov, Israel Recruiting -
Rambam Medical Center
Haifa, Israel Recruiting -
Hadassah Medcial Center
Jerusalem, Israel Recruiting -
Meir medical center
Kfar Saba, Israel Recruiting -
Rabin Medical Center
Petah tikva, Israel Recruiting -
Kaplan Medical Center
Reẖovot, Israel Recruiting -
Assuta Medical Cetner
Tel Aviv, Israel Recruiting -
Sheba Medical Center
Tel Aviv, Israel Recruiting -
Sheba medical center
Tel HaShomer, Israel Recruiting -
044 Hospital Universitario Virgen Macarena
Seville, Spain Recruiting -
Aberdeen Royal Infirmary
Aberdeen, United Kingdom Recruiting -
Royal Bournemouth General Hospital
Bournemouth, United Kingdom Recruiting -
Cheltenham General Hospital
Cheltenham, United Kingdom Recruiting -
Withybush Hospital
Haverfordwest, United Kingdom Recruiting -
Mount Vernon Cancer Centre
Northwood, United Kingdom Recruiting -
The Shrewsbury and Telford Hospital
Shrewsbury, United Kingdom Recruiting -
South Tyneside
South Shields, United Kingdom Recruiting -
Lister Hospital
Stevenage, United Kingdom Recruiting -
Sunderland Royal Hospital
Sunderland, United Kingdom Recruiting -
Swansea Bay UHB Singleton Hospital
Swansea, United Kingdom Recruiting -
Soroka Medical Center
Be'er Sheva, Israel Active not recruiting -
Bnai Zion Medical Center
Haifa, Israel Active not recruiting -
Sourasky Medical Center
Tel Aviv, Israel Completed -
Bradford Teaching Hospitals
Bradford, United Kingdom Not yet recruiting -
Torbay Hospital
Torquay, United Kingdom Not yet recruiting
Study contacts
- Principal investigator: Alona Zer, MD — 003 Rambam Medical Center
- Study coordinator: Shani Raveh Shoval, Ph.D.
- Email: shani@oncohost.com
- Phone: 97248537554
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Cemiplimab guided by ctDNA levels (PALACE)
This study will see if starting adults with advanced (stage IIIB/C or IV) non-small cell lung cancer and PD-L1 ≥50% on cemiplimab, then using ctDNA and early scans to decide whether to add chemotherapy, can improve overall survival.
-
Analyzing tumor DNA to predict response to cancer treatment in lung cancer patients
This study is testing if measuring tumor DNA in the blood can help predict how well lung cancer patients respond to a specific treatment called Tyrosine Kinase Inhibitors.
-
Using enhanced immune cells to treat specific types of lung cancer
This study is testing a new treatment using special immune cells and a drug to see if it can help people with advanced lung cancer that has certain genetic changes and hasn’t improved with previous treatments.
-
Infusion of IOV-4001 for advanced melanoma and lung cancer
This study is testing a new treatment called IOV-4001 to see if it can help adults with advanced melanoma and lung cancer by targeting and killing their tumor cells.
-
Supportive care model for patients with advanced lung cancer
This study is testing a new supportive care program for people with advanced lung cancer to see if it helps them feel less stressed and more confident about managing their condition compared to standard care.
-
New radiotherapy approach for advanced lung cancer
This study is testing a new type of radiotherapy for patients with advanced lung cancer who can't have regular treatment to see if it can help them live longer and feel better.
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.