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please refer to NCT05621837
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| Name | Class |
|---|---|
| Fondazione IRCCS ISTITUTO NAZIONALE TUMORI | UNKNOWN |
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It is nowadays well established that the immune system can profoundly influence disease outcome in cancer patients. Increasing evidence is indeed showing that patients displaying spontaneous T cell-mediated immune response against their tumor (defined as immune surveillance) have higher chance to respond to therapies and display globally better prognosis. Conversely, patients whose tumor is characterized by immunosuppression, usually involving myeloid cells and chronic inflammation pathways, often undergo rapid progression and rarely benefit from therapy. Hence, capturing the immune features of individual tumors can help to predict disease course and tailor the therapeutic workup in clinical setting.
It is nowadays well established that the immune system can profoundly influence disease outcome in cancer patients. Increasing evidence is indeed showing that patients displaying spontaneous T cell-mediated immune response against their tumor (defined as immune surveillance) have higher chance to respond to therapies and display globally better prognosis. Conversely, patients whose tumor is characterized by immunosuppression, usually involving myeloid cells and chronic inflammation pathways, often undergo rapid progression and rarely benefit from therapy. Hence, capturing the immune features of individual tumors can help to predict disease course and tailor the therapeutic workup in clinical setting. In addition, overcoming cancer-related immunosuppression could provide a valid tool to rescue immune surveillance and implement cancer treatment through the engagement of the immunological control.
Delivering the right cure to the right patient is the base of precision medicine, and intensive efforts are ongoing worldwide to include the assessment of immune features unto individual patient profiling. However, despite the enormous amount of preclinical and clinical data proving the pivotal role of immunity in molding disease outcome, the immune-related assays that have been introduced into clinical practice, are still scantly. One major limitation is related to the fact that most immune biomarkers have been so far evaluated at tumor site, which implies the need for tumor biopsies and limitations related to intra-lesion heterogeneity. Instead, tests relying on blood samples are easier to perform, more reliable in terms of reproducibility, and repeatable for longitudinal studies. Of note, it is nowadays well established that cancer immunity is a systemic process involving different peripheral immune organs (lymph nodes, bone marrow and spleen) and, as such, it can be measured in blood. Hence, circulating immune cells might represent an informative source of biomarkers to reveal the type and activation status of immunity at single patient level. This holds particularly true for tumor-related immunosuppression, which is mostly mediated myeloid cells and it is responsible for blunting antitumor T cell immune-surveillance. Early during carcinogenesis, cancer cells establish a tight cross-talk with the bone marrow, mediated by tumor-released soluble factors that influence myelopoiesis. This process results in the introduction into the peripheral circulation, of aberrant immunosuppressive myeloid cells, globally known as Myeloid-Derived Suppressor Cells (MDSC). MDSC are among the most potent allies of the tumor cells, whose growth and progression in vivo in favored by MDSC ability to inhibit antitumor T cells, promote angiogenesis and sustain metastatic spread. High numbers of MDSC in blood and tumor site of cancer patients is reproducibly associated with poor prognosis and resistance to therapy, including immunotherapy. Studies in preclinical models have also shown that in vivo removal of MDSC reduces tumor expansion in vivo and confers sensitivity to treatment including immunotherapy, indicating a promising role of these cells as appealing novel therapeutic target in cancer. Unfortunately, the phenotypic and functional features of human MDSC are still poorly understood and need to be extensively investigated in clinical setting.
The members of the SERPENTINE Consortium have substantially contributed to the discovery and the study of MDSC in cancer, acquiring deep knowledge on the phenotypic and functional features of these cells both in human and murine setting. In the present trial? coordinators are committed to translate the predictive/prognostic role of MDSC immune profiling into real-life clinical practice. Through the concerted effort of all Consortium members and the prospective enrolment of blood samples from a comprehensive cancer patients case set, coordinators are going to develop off-the-shelf predictive/prognostic test based on the standardized quantification of MDSC in peripheral blood of cancer patients. In addition, thanks to our multiple expertise, coordinators are going to get deep insights into the biology of human cancer-related MDSC, for the development of novel therapeutic approaches based on rescuing tumor immune surveillance by antagonizing immunosuppression.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| single arm | Experimental | Blood samples will be collected at baseline(Visit 1), and during therapy at visit 2 (around one month after the treatment starting) and at Visit 3 (around three months after the treatment starting. And, optionally, in case of a disease progression (PD). |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| single arm | Diagnostic Test | Blood samples will be collected at baseline(Visit 1), and during therapy at visit 2 (around one month after the treatment starting) and at Visit 3 (around three months after the treatment starting. And, optionally, in case of a disease progression (PD). |
| Measure | Description | Time Frame |
|---|---|---|
| Investigation of whether a flow cytometry blood-based MDSC quantification assay, does predict disease course in different cancer patients undergoing standard therapies including immunotherapy, chemotherapy, target therapies and surgery. | Correlation of myeloid-related blood biomarkers (including quantification of myeloid cell subsets in peripheral blood mononuclear cells and whole blood) with disease outcome including objective response to therapy, progression-free survival and overall survival, to identify tool for predicting resistance to treatment and poor prognosis. | during 3 months after the start of the treatment |
| Measure | Description | Time Frame |
|---|---|---|
| discovery and development of an additional MDSC-related blood biomarkers associated with the phenotypic or functional profile of these cells | Transcriptional signatures identified on PBMC and sorted myeloid cells form whole blood, at baseline or first evaluation | during 3 months after the start of the treatment |
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Inclusion Criteria:
Exclusion Criteria:
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 29567705 | Background | Ribas A, Wolchok JD. Cancer immunotherapy using checkpoint blockade. Science. 2018 Mar 23;359(6382):1350-1355. doi: 10.1126/science.aar4060. Epub 2018 Mar 22. | |
| 26678337 | Background | Galluzzi L, Buque A, Kepp O, Zitvogel L, Kroemer G. Immunological Effects of Conventional Chemotherapy and Targeted Anticancer Agents. Cancer Cell. 2015 Dec 14;28(6):690-714. doi: 10.1016/j.ccell.2015.10.012. |
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| ID | Term |
|---|---|
| D008545 | Melanoma |
| D001943 | Breast Neoplasms |
| D000077195 | Squamous Cell Carcinoma of Head and Neck |
| D002289 | Carcinoma, Non-Small-Cell Lung |
| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
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This is a multi-centric prospective observational study, testing whether the blood level of MDSC-related immunosuppression does correlate with clinical outcome (clinical response by RECIST criteria, PFS, DFS) and thus may help predicting sensitivity or resistance to therapy in cancer patients. In addition, blood samples will be extensively studied to gain insights into the molecular and metabolic pathways regulating myeloid-mediated immunosuppression, with the goal of defining novel targets of immunomodulation.
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| obtention insights into the signaling and metabolic pathways regulating human MDSC, for the discovery of innovative cancer therapeutic targets based on immunomodulation |
Metabolomic profiles, as defined by the concentration of individual metabolites or cluster of metabolites implicated in amino acid and lipid metabolism |
| during 3 months after the start of the treatment |
| perform the first survey assessing the link between MDSC (myeloid-derived suppressor cells) immunosuppression and patient psychological traits, including socio-economical status and perceived social isolation | Loneliness Questionnaire (no min and max values) | at the baseline |
| perform the first survey assessing the link between MDSC (myeloid-derived suppressor cells) immunosuppression and patient psychological traits, including socio-economical status and perceived social isolation | Socio-Economical Questionnaire (no min and max values) | at the baseline |
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| D009369 | Neoplasms |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D009371 | Neoplasms by Site |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D001941 | Breast Diseases |
| D002294 | Carcinoma, Squamous Cell |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D006258 | Head and Neck Neoplasms |
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |