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The study aims to analyze blood samples from patients with advanced hepatocellular carcinoma who are receiving systemic treatment with immunotherapy. The objective is to determine whether treatment exposure leads to changes in the transcriptomic patterns of peripheral blood mononuclear cells (PBMCs), if these changes are associated with treatment response, and whether certain pre-treatment transcriptomic signatures can predict response to treatment.
As an exploratory objective, PBMCs derived from patients exposed to immune checkpoint inhibitors will be co-cultured with their paired tumor cells in organoid cultures. This aims to assess whether these preclinical 3D models correlate with clinical outcomes.
The primary pivotal objective of the study is to analyse the single cell transcriptome of peripheral blood mononuclear cells (PBMCs) in patients with HCC treated with immunotherapy to define if treatment exposure determines transcriptomic pattern changes and if some of these changes are associated with treatment response.
The secondary objective of the study is to investigate if some pre-treatment transcriptome signature of PBMCs is predictive of response and long-lasting response to treatment.
As an exploratory objective, the study investigators will analyse the interaction between patients' peripheral immune cells previously exposed to immune check-point inhibitors and their paired tumour cells in the organoid cultures.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Single cohort | Patients treated withi immune-check point inhibitor-based combinations as first-line treatment for advanced HCC |
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| Measure | Description | Time Frame |
|---|---|---|
| Analysis of the single cell profiling of peripheral blood mononuclear cells in patients with HCC treated with immunotherapy pre-therapy (T0) and the 3 months post-therapy (T3) to define if a difference between the two time points exists. | The single cell profiling of peripheral blood mononuclear cells in patients with HCC treated with immunotherapy will be analised at two type points: before starting therapy(T0), and the 3 months post-therapy (T3). The difference of single cell profiling of the two paired time-points will be analysed. | From enrollment untill 3 months after treatment start, (up to 120 days from study inclusion) |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between transcriptome signature at baseline and treatment outcomes. | To define if there is a correlation between baseline transcriptome signatures and treatment outcomes (duration of response, median progression-free survival, median overall survival) | From enrollment to the time of best response to treatment, up to 24 months from enrollement |
| Measure | Description | Time Frame |
|---|---|---|
| Exploring the interacton between PBMCs and tumor tissue in 3D culture system. | To compare the percentage of apoptosis in tumor cells from patient-derived 3D culture systems of HCC, co-cultured with PBMC harvested after treatment with immune checkpoint inhibitors (ICIs), versus those co-cultured with baseline PBMCs collected at T0. | From enrollment untill 3 months after treatment start, (up to 120 days from study inclusion) |
Inclusion Criteria:
Exclusion Criteria:
Life expectancy of <12 months due to concomitant diseases
Active or history of autoimmune disease or immune deficiency on inflammatory chronic diseases
Ongoing drug abuse
History of malignancy other than HCC within 3 years prior to study entry with the following exception:
evidence or history of positive HIV test
inability to comply with the study protocol, in the investigator's judgment
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Patients treated with atezolizumab plus bevacizumab or tremelimumab single dose plus durvalumab (STRIDE regimen) as first-line treament for advanced HCC
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Salvatore Corallo | Contact | +39 0382501557 | s.corallo@smatteo.pv.it |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fondazione IRCCS Policlinico San Matteo | Recruiting | Pavia | Lombardy | 27100 | Italy |
Pending privacy protection evaluation
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Blood samples tissue samples
| Correlation between baseline gene clusters and treatment responses | To identify baseline gene clusters that correlats with higher respose rates | From enrollment to the time of best response, up to 24 months from enrollment |