Predicting Responsiveness in Oncology Patients Based on Host Response Evaluation During Anti Cancer Treatments

Purpose

The PROPHETIC study is a prospective, multi-center, international clinical study aimed at developing an algorithm to predict patient outcomes. The study involves analyzing the proteomic profiles of patients undergoing therapy to assess the likelihood of clinical benefit from their prescribed treatment. Blood samples are collected prior to and during the treatment period and analyzed as part of the ongoing development of thealgorithm.

Conditions

  • Stage IV Non-small Cell Lung Cancer
  • Stage IV Malignant Melanoma
  • Stage IV Small Cell Lung Cancer
  • Stage III Unresectable Non-Small Cell Lung Cancer
  • Stage IIIb-d Malignant Melanoma

Eligibility

Eligible Ages
Over 18 Years
Eligible Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Provision of informed consent prior to any study-specific procedures. - Male or female aged at least 18 years. - 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. - At least one measurable lesion in order to enable the assessment of the response (except for stage IIIb-d malignant melanoma patients).

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.

Study Design

Phase
Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Arm Groups

ArmDescriptionAssigned Intervention
Stage IV NSCLC patients Stage IV NSCLC patients treated with ICI or a combination of ICI and chemotherapy in any line of treatment, or with chemotherapy as a first line treatment.
  • Other: Plasma sample collection
    Collect at least two plasma samples
Stage III unresectable NSCLC patients Patients with Stage III unresectable NSCLC treated with ICI therapy or ICI in combination with chemotherapy
  • Other: Plasma sample collection
    Collect at least two plasma samples
Stage IV malignant melanoma patients Stage IV malignant melanoma patients treated with any regimen that includes ICI therapy as a monotherapy or in combination with targeted therapy in any line of treatment. In specific sites, Stage IV melanoma patients treated with targeted therapy (as a reference population).
  • Other: Plasma sample collection
    Collect at least two plasma samples
Stage IIIb-d malignant melanoma patients Stage IIIb-d malignant melanoma patients treated with any regimen that includes ICI therapy as monotherapy or in combination with targeted therapy as adjuvant therapy.
  • Other: Plasma sample collection
    Collect at least two plasma samples
Stage IV SCLC patients Stage IV SCLC patients treated with any regimen of ICI, chemotherapy or combination of ICI and chemotherapy in any line of treatment.
  • Other: Plasma sample collection
    Collect at least two plasma samples

Recruiting Locations

More Details

NCT ID
NCT04056247
Status
Active, not recruiting
Sponsor
OncoHost Ltd.

Detailed Description

The goal of this research study is to develop an algorithm that predicts the patient's treatment outcome.This algorithm will serve as a tool for physicians when making treatment decisions, specifically for stage IV NSCLC and malignant melanoma patients receiving anti-cancer treatments. The investigators also aim to identify the metabolic pathways that could lead to better therapeutic options. The patients will be given their treatment according to the institute's standard of care. The patients will provide two blood samples and clinical data will be collected from their medical records. In the first part of the trial, the data obtained from the blood samples and the medical records of the patients will be used to develop the prediction algorithm, and in the second part of the trial, the algorithm will be validated by comparing the objective response rate of the patients to the theoretical response prediction of the algorithm.