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Stratification marker for immunotherapy in lung cancer

Exploratory study for stratification marker of immune checkpoint inhibitor in patients with advanced or recurrent non-small cell lung cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-jRCT1031190196
Enrollment
100
Registered
2020-01-28
Start date
2020-02-07
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

Non-Small Cell Lung Cancer

Interventions

None

Sponsors

Sasada Tetsuro
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Patients with pathologically or cytologically diagnosed, advanced or recurrent, non-small-cell lung cancer, who are treated with anti-PD-1/PL-L1 antibody (in combination with or without chemotherapies or anti-CTLA4 antibody) 2) Patients over 20 years old with written informed consent 3) Patients with ECOG PS 0-2 4) Patients with measurable target lesions for response evaluation with RECIST(Ver1.1)

Exclusion criteria

Exclusion criteria: 1) Patients with the past history of immunological treatments (immune checkpoint inhibitors, cancer vaccines, or immune cell therapies) 2) Patients with regular use of amino acid formulations (as intravenous or enteral nutrition) or supplements 3) Patients with presumed abnormalities of amino acid metabolism, such as liver cirrhosis, renal failure, inborn error of amino acid metabolism, pregnancy, and feeding 4) Patients enrolled in other clinical trials for pharmaceuticals or medical devices 5) Patients with active double cancer [synchronic double cancer or asynchronous double cancer with no more than 5-year disease-free period, excluding carcinoma in situ (lesions equal to intraepithelial or intramucosal cancer) judged to have been cured by local treatment] 6) Patients with other inappropriate conditions for enrollment judged by the clinicians

Design outcomes

Primary

MeasureTime frame
Multivariate discriminant models created by combination of plasma amino acid and/or metabolite concentrations, which are useful for predicting anti-tumor responses (evaluated by RECIST Ver.1.1) in patients treated with anti-PD-1/PL-L1 antibody (all cases or subgroups)

Secondary

MeasureTime frame
Multivariate discriminant models created by combination of plasma amino acid and/or metabolite concentrations, which are useful for predicting progression free survival in patients treated with anti-PD-1/PL-L1 antibody (all cases or subgroups)

Contacts

Public ContactTetsuro Sasada

Kanagawa Cancer Center

tsasada@kcch.jp+81-45-520-2222

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026