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

OncoHost Ltd. · NCT05736029

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Opens the official ClinicalTrials.gov record, with the study team’s contacts. Bored Studies doesn’t enroll anyone.

Key facts

Compensation
Not posted. Ask the study team before screening.
Who can join
Ages 18+ · All sexes
Healthy volunteers
Accepted
Study type
Observational
Target enrollment
350
US sites recruiting
1
Study start
November 7, 2022
Record last updated
February 21, 2023

Status re-checked against ClinicalTrials.gov within the last 12 hours.

What the study is about

The goal of this exploratory study is understand the mechanisms of response to immunotherapy in Non-Small Cell Lung Cancer patients.

The investigators are going to search for correlation between specific biological features and response to immunotherapy, and to use those associations for developing an algorithm enabling to identify patients that could benefit from the immune check inhibitor based anti cancer treatment.

Patients will provide biological samples before and during their treatment, and clinical data will be collected.

Being studied: blood, stool and tissue samples collection

Conditions: Non Small Cell Lung Cancer; Healthy

Eligibility criteria

Copied from the official record. The study team makes the final decision at screening.

Show full criteria

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.

Exclusion Criteria

  • Any concurrent and/or other active malignancy that has required systemic treatment within 2 years of first dose of treatment.
  • Generalized impairment or mental incompetence that would render the patient unable to understand his/her participation in the study.

Recruiting US locations

  • Baylor Scott and White Research Institute

    Dallas, TX 75204

    Site contact: Pappu Himabindu · Himabindu.Pappu@BSWHealth.org

Study contacts (from the official record)

  • Galit Yahalom, PhD · 97248537557 · galit@oncohost.com
  • Shani Raveh Shoval, PhD · 97248537557 · shani@oncohost.com
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Predicting Responsiveness in Oncology Patients Based on Host… (NCT05736029) | Bored Studies