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Clinical Benefit and Biomarker Analysis of Combination of PD-1/PD-L1 Immune Checkpoint Inhibitors and Radiotherapy

Clinical Benefit and Biomarker Analysis of Combination of PD-1/PD-L1 Immune Checkpoint Inhibitors and Radiotherapy in NSCLC, HNSCC and Other Solid Tumors

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04892849
Acronym
ST-ICI02
Enrollment
200
Registered
2021-05-19
Start date
2021-04-30
Completion date
2030-12-31
Last updated
2025-09-17

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

Conditions

Esophageal Cancer, HNSCC, NSCLC, Renal Cell Carcinoma, Small Cell Bronchial Carcinomas, Squamous Cell Carcinoma of the Skin, Urothelial Carcinoma

Keywords

Immunotherapy, Radiotherapy

Brief summary

Inhibitors of the programmed cell death protein 1 (PD-1)/PD-L1 immune checkpoint signaling pathway are already approved in the treatment of various tumor entities in relapsed or metastatic stages. Different exploratory trials suggest that the combination of radiotherapy and PD-1/PD-L1 inhibitors is highly effective, especially in oligometastatic stages and if all lesions are treated with ablative radiotherapy. In addition, the role of predictive biomarkers is becoming increasingly important for future therapy algorithms. First data, also from our group, indicate clearly that dynamic changes of immune cells and their activation markers in the peripheral blood (immune matrix) can be used as predictive biomarkers. During the planned STICI-02 trial predictive immune matrix derived from the STICI01 trial (NCT03453892) will be validated in the groups of patient suffering from HNSCC (palliative), NSCLC (separately palliative and adjuvant) and other solid tumors (including in particular esophageal carcinomas, urothelial and renal carcinomas, small cell bronchial carcinomas and squamous cell carcinomas of the skin \[depending on the current drug approval\]). Within the framework of scientific accompanying projects, the predictive value of markers in tumor tissue and of pattern radiomics analyses will be analyzed accompanying the immunophenotyping in peripheral blood. The side effects

Interventions

OTHERConventional Therapy acc. to prevailing clincal approved schemes

The study is observational. The treatment-plan of the underlying disease remains unchanged. The treatment of the patient is according to the prevailing clinical approved schemes at the respective entities. Blood will be drawn from patients at several time points during and after RT and ICI for detailed immunomonitoring of the patients.

Sponsors

University of Erlangen-Nürnberg Medical School
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Patients treatable for HNSCC (palliative), NSCLC (separately palliative and adjuvant) or other solid tumour * Indication for system therapy with a PD-1/PD-L1 inhibitor according to clinical standards * Patients without or with radiation of one or more metastases * Age at least 18 years

Exclusion criteria

* Melanoma patients * Fertile patients who refuse effective contraception during study treatment * Persistent drug and/or alcohol abuse * Patients not able or willing to behave according to study protocol * Patients in care * Patients that are not able to speak German * Patients which are imprisoned according to legal or governmental order Both gender are included into the study, a maximum age was not defined.

Design outcomes

Primary

MeasureTime frameDescription
Immune-associated side effectsDay 0 till progression or end of study up to 5 years or till change to conventional treatment without ICI, whichever came first.Detection of immune-associated side effects
OverallsurvivalFrom inclusion till death of subject or up to 5 years, whichever came first.Prospective investigation of the survival of the patients.
Longitudinal ImmunophenotypeDay 0 till progression or end of study up to 5 years or till change to conventional treatment without ICI, whichever came first.Longitudonal Immunophenotyping of the patients: Detection of about 30 distinct immune cell (sub)types together with their activation markers during treatement.
Predictors in pattern recognition analysesDay 0 till progression or end of study up to 5 years or till change to conventional treatment without ICI, whichever came first.Identification of possible predictors in pattern recognition analyses from clinical imaging data sets.

Secondary

MeasureTime frameDescription
Detection of adverse events according to NCI CTAE (v4.0)From date of inclusion to the trial until the date of first documented iRECIST progression or date of death from any cause, or till change to conventional treatment , whichever came first, assessed up to 5 years.The adverse effects of Immunecheckpoint and Radiotherapy is recorded by official questionaire
Progression free survivalFrom date of inclusion to the trial until the date of first documented iRECIST progression or date of death from any cause, whichever came first, assessed up to 5 yerassurvival of the patient without progression of malignant disesase
Treatment response (according to RECIST and iRECIST criteria)From date of inclusion to the trial until the date of first documented iRECIST progression or date of death from any cause, whichever came first, assessed up to 5 yearsRECIST and iRECIST criteria will used to analyse the response of the patient to the respective treatement
Attempt to establish an immune matrix of responding/non-responding patientsThe analyses are conducted at time points before (day 0) and before every prescription of ICI (every 14 to 21 days) till progression or end of study up to 5 years or till change to conventional treatment without ICI.Analysis of clincal, MRI and imunnologic, molecular data to develop an biomarkermatrix with processes of machine learning

Countries

Germany

Contacts

Primary ContactMarkus Hecht, PD Dr.
markus.hecht@uk-erlangen.de+49 9131 85
Backup ContactBenjamin Frey, PD Dr. Dr.
benjamin.frey@uk-erlangen.de+49 9131 85

Outcome results

None listed

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