Over the last few years, significant immune system changes have been observed in tumor patients exposed to different treatments. Moreover, evaluation and prediction of the responses of treatments given to these patients can become a key component. Therefore, it is critical to develop a pipeline for a systematic approach where complete monitoring of the immune system and interpretation of data from different assaysare involved in predicting treatment effects. Most of the children in the study involved were diagnosed with neuroblastoma, osteosarcoma, wilms tumor, and brain tumor. In this study,whole blood samples from children with solid tumors were used. The analysis was done on cells, proteins, and genes to gather comprehensive information on the immune system's composition and function. This study extracts cell-specific signatures with modern mass cytometry technology, proteins with a proximity extension assay, and mRNA whole blood sequencing. These assays were analyzed with different statistical models such as multivariate, mixed effect model, and multi-omics factor analysis. These assay signatures provided information about the contribution of specific immune cells, plasma proteins, and genes associated with a tumor. The use of these signatures in diagnosing and treating solid tumors has been discussed in the form of a shared trajectory of recovery among tumor patients / <p>Presentation was approved with Instructions of additional information in the report.</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-469915 |
| Date | January 2022 |
| Creators | Shamas, Nadia Hassan |
| Publisher | Uppsala universitet, Institutionen för biologisk grundutbildning, Uppsala universitet, Science for Life Laboratory, SciLifeLab |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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