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Discovery of Biomarkers Related to the Efficacy and Adverse Reactions of Immune Checkpoint Inhibitors Based on Metabolism-genomics

Discovery of Biomarkers Related to the Efficacy and Adverse Reactions of Immune Checkpoint Inhibitors Based on Metabolism-genomics

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04656119
Enrollment
100
Registered
2020-12-07
Start date
2020-11-03
Completion date
2025-11-03
Last updated
2020-12-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cancer

Keywords

Immune checkpoint inhibitors, Immune-related adverse events, Genomics, Metabonomics

Brief summary

Immune checkpoint inhibitors (ICIs) are an important breakthrough in cancer therapy and have been increasingly used.However, ICIs can cause a unique spectrum of side effects termed immune-related adverse events (irAEs),which can affect any organ systems and in some cases are fulminant or even fatal.In clinical practice, irAEs and clinical efficacy maybe various for patients with same standard treatment, and some studies have shown that gene and metabolic differences in cancer patients may be an important factor. In this project, peripheral blood samples from cancer patients will be collected prospectively at baseline, and at regular intervals (2 cycles, about 6 weeks) for about 30 weeks, then these blood samples will be analyzed using the technique of genomics, metabonomics. The investigators aim to find biomarkers associated with irAE or clinical efficacy. When the sample size and data is big enough, the investigators plan to establish a prediction model using machine learning to access the safety and efficacy of ICIs for cancer patients. Our study have important clinical implications in the prediction and early management of severe, potentially life-threatening immune-related toxicity.

Interventions

there is no intervention in our study

Sponsors

Beijing Chao Yang Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

* Histologically confirmed malignant tumor, no relative contraindications for immunotherapy, in line with the standards of immunotherapy * Receive immune checkpoint inhibitors (ICIs) for the first time or have received ICIs but no immune-related adverse reactions have occurred * Have provided informed consent, are willing to participate in study and routine follow-up * At least one measurable lesion according to Guidelines for response criteria for use in trials testing immunotherapeutics (iRECIST)

Exclusion criteria

* Active, known, suspected or a documented history of autoimmune disease * Eastern Cooperative Oncology Group(ECOG) performance status 3-4 * Long-term hormone therapy,corticosteroids (\>10mg/day prednisone curative dose) * Subjects with human immunodeficiency virus (HIV) * Subjects with other tumors * Myocardial infarction, poorly control led arrhythmia, New York Heart Association (NYHA) standard III-IV cardiac insufficiency or left ventricular ejection fraction (LVEF)\<50% in the last 6 month * Active tuberculosis * Active or a documented history of interstitial pneumonia, pneumoconiosis, radiation pneumonia, drug-related pneumonia, severely impaired lung function * Common Terminology Criteria for Adverse Events (CTCAE) peripheral neuropathy grade≥2 * History of alcohol abuse

Design outcomes

Primary

MeasureTime frame
immune-related adverse events incidenceNovember,2020-November,2025

Secondary

MeasureTime frame
Complete response (CR)November,2020-November,2025
Partial response (PR)November,2020-November,2025
Stable disease (SD)November,2020-November,2025
Progressive disease (PD)November,2020-November,2025

Countries

China

Contacts

Primary ContactWenchao Lu, Master
wenchaolu621@163.com18811183790
Backup ContactZhixia Zhao, Master
zhixia.1002@163.com010-85231786

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026