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| Name | Class |
|---|---|
| University of Western Sydney | OTHER |
| Bristol-Myers Squibb | INDUSTRY |
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"Risk factors of Immune-ChEckpoint inhibitor MEdiated Liver, gastrointestinal, endocrine and skin Toxicity" (ICEMELT) study is a prospective multicenter cohort study, enrolling patients who are scheduled to receive (1) single agent PD1/L1 inhibitor; (2) PD1/L1 inhibitor plus CTLA4 inhibitor; (3) platinum-based chemotherapy + PD1/L1 inhibitor; (4) PD1/L1 inhibitor and tyrosine kinase inhibitor and (5) PD1/L1 inhibitor and vascular endothelial growth factor (VEGF) inhibitor.
This project is based on strong multidisciplinary collaboration between oncologists, gastroenterologists/hepatologists, immunologists and basic scientists affiliated with (1) Western Sydney University, (2) University of Sydney, (3) Western Sydney Local Health District (4) New South Wales Health Pathology, (5) Westmead Institute for Medical Research.
Recruitment sites:
Research samples collection, processing and storage:
Potential patients will be identified by study investigators at Oncology clinics. After informed consent, clinicopathological data including patients' demographics, past medical history, cancer staging, relevant anticancer treatment, response/progression and survival will be collected longitudinally.
The following specimens will be collected from all participating patients at baseline (pre-treatment stage):
The following specimens will be collected after IPI + NIVO therapeutic regimen will be commenced (week 6-9 after ICI-therapy commencement):
• Peripheral blood (3 x 10mL EDTA tubes)
Upon development of potential grade ≥2 irAEs, the following samples will be collected:
Peripheral blood samples from patients will be collected using 10ml EDTA vacutainer tubes (x3) and processed within 12 hours of collection by research staff at each site. Plasma will be used for miRNA assay. PBMCs will be split into 5 cryotubes and used for flow cytometry and single-cell sequencing.
Consent to the study will allow researchers to access the baseline archive diagnostic FFPE tissue samples. With implementing cutting-edge spatial analysis we aim to elucidate the impact of tumour-infiltrating immune microenvironment on clinical outcomes of ICI therapy.
Fresh tissue samples obtained from patients with severe immune-mediated colitis will be processed to obtain total RNA and immune cells for sequencing and mass spectrometry (CyTOF). In addition, tissue samples will be analysed with in situ spatial profiling technologies to map multi-omic data on subcellular level and to determine its association with the clinical outcomes of cancer immunotherapy.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Single agent PD-1/L1 inhibitor | Experimental |
| |
| PD-1/L1 inhibitor + CTLA-4 inhibitor | Experimental |
| |
| Platinum-based chemotherapy + PD-1/L1 inhibitor | Experimental |
| |
| PD-1/L1 inhibitor + tyrosine kinase inhibitor | Experimental |
| |
| PD-1/L1 inhibitor + VEGF inhibitor | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Blood screening | Diagnostic Test | Blood will be taken in order to elucidate transcriptomic and proteomic differences (1) pre- and post-ICI treatment commencement; (2) in patients with and without immune-related adverse events. |
| Measure | Description | Time Frame |
|---|---|---|
| Differentially expressed genes in circulating immune cells between patients with and without irAEs. | This objective will be achieved through single-cell sequencing. | Week 0-48 |
| Expression of TIM-3, LAG3, VISTA and other inhibitory checkpoint molecules on tumour-infiltrating T cells. | In order to ascertain this result, our objective is to utilize spatial transcriptomics and mass spectrometry. | Week 0-48 |
| Measure | Description | Time Frame |
|---|---|---|
| Association of pre-treatment BMI, neutrophil-to-lymphocyte ratio and other clinical parameters with irAEs. | Week 0-48 |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Dmitrii Shek, Dr | Contact | +61 412 035 533 | Dmitri.Shek@health.nsw.gov.au |
| Name | Affiliation | Role |
|---|---|---|
| Golo Ahlenstiel, Professor | Western Sydney Local Health District | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Westmead Hospital | Recruiting | Sydney | New South Wales | 2145 | Australia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32378480 | Background | Shek D, Read SA, Akhuba L, Qiao L, Gao B, Nagrial A, Carlino MS, Ahlenstiel G. Non-coding RNA and immune-checkpoint inhibitors: friends or foes? Immunotherapy. 2020 May;12(7):513-529. doi: 10.2217/imt-2019-0204. Epub 2020 May 7. | |
| 33818870 | Background | Shek D, Read SA, Nagrial A, Carlino MS, Gao B, George J, Ahlenstiel G. Immune-Checkpoint Inhibitors for Advanced Hepatocellular Carcinoma: A Synopsis of Response Rates. Oncologist. 2021 Jul;26(7):e1216-e1225. doi: 10.1002/onco.13776. Epub 2021 Apr 21. |
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| Tissue screening | Diagnostic Test | Archival tumor tissue (FFPE) will be spatially analysed in order to define tissue heterogeneity in tumor samples regarding cancer immune cell transcriptional profiles and correlate it with the occurrence/development of immune-related adverse events. |
|
| Blacktown Mt Druitt Hospital | Recruiting | Sydney | New South Wales | 2148 | Australia |
|
| 34503155 | Background | Shek D, Akhuba L, Carlino MS, Nagrial A, Moujaber T, Read SA, Gao B, Ahlenstiel G. Immune-Checkpoint Inhibitors for Metastatic Colorectal Cancer: A Systematic Review of Clinical Outcomes. Cancers (Basel). 2021 Aug 27;13(17):4345. doi: 10.3390/cancers13174345. |
| 37104017 | Result | Shek D, Gloss B, Lai J, Ma L, Zhang HE, Carlino MS, Mahajan H, Nagrial A, Gao B, Read SA, Ahlenstiel G. Identification and Characterisation of Infiltrating Immune Cells in Malignant Pleural Mesothelioma Using Spatial Transcriptomics. Methods Protoc. 2023 Mar 28;6(2):35. doi: 10.3390/mps6020035. |
| ID | Term |
|---|---|
| D002289 | Carcinoma, Non-Small-Cell Lung |
| D002292 | Carcinoma, Renal Cell |
| D008545 | Melanoma |
| D013274 | Stomach Neoplasms |
| D006528 | Carcinoma, Hepatocellular |
| D016889 | Endometrial Neoplasms |
| D008654 | Mesothelioma |
| C563326 | Diabetes Mellitus, Insulin-Dependent, 12 |
| ID | Term |
|---|---|
| D002283 | Carcinoma, Bronchogenic |
| D001984 | Bronchial Neoplasms |
| D008175 | Lung Neoplasms |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D000230 | Adenocarcinoma |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D007680 | Kidney Neoplasms |
| D014571 | Urologic Neoplasms |
| D014565 | Urogenital Neoplasms |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052801 | Male Urogenital Diseases |
| D018358 | Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D012878 | Skin Neoplasms |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D008113 | Liver Neoplasms |
| D008107 | Liver Diseases |
| D014594 | Uterine Neoplasms |
| D005833 | Genital Neoplasms, Female |
| D014591 | Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D000091662 | Genital Diseases |
| D000236 | Adenoma |
| D018301 | Neoplasms, Mesothelial |
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