Essays about: "immunotherapy"

Showing result 1 - 5 of 45 essays containing the word immunotherapy.

  1. 1. Assessment and evaluation of heterogeneity in data from immune infiltration spatial niches in lung cancer

    University essay from Lunds universitet/Matematisk statistik

    Author : Mahta Keivani Najafabadi; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : The protein biomarker expressions in three types of sampled immune INFILTration spatial niches in lung cancer tissue were measured using the new technology Digital Spatial Profiler (DSP). The three types of immune INFILTration that were observed in lung tumors were STROMA identified as immune cells separate from tumor cells, Tertiary lymphoid structures (TLS) identified as dense structures of organized immune cells and finally Infiltraterate where immune cells dispersed among and in direct contact with tumor cells (INFILT). READ MORE

  3. 2. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Esraa Ahmed; [2023]
    Keywords : ;

    Abstract : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. READ MORE

  4. 3. Genetic manipulation to improve efficacy of dendric cell adoptive immunotherapy against cancer in dogs

    University essay from Karlstads universitet

    Author : Felicia Berglund; [2023]
    Keywords : Adoptive immunotherapi;

    Abstract : To improve the efficacy of the dendritic cell vaccine Alv B DC from Alv B, the PD-L1 expression in cancer cells was attempted to be reduced through a transfection with a custom designed siRNA. Before transfecting the dendritic cells, the siRNA functionality had to be tested through flow cytometry, that resulted in negative results and therefore led to a RT-qPCR protocol that indicated that the siRNA was functional. READ MORE

  5. 4. Predicting tumour growth-driving interactions from transcriptomic data using machine learning

    University essay from Uppsala universitet/Neuroonkologi och neurodegeneration

    Author : Mathilda Stigenberg; [2023]
    Keywords : cancer; immunology; cell-cell interactions; deep learning; variational autoencoder; supervised variational autoencoder; tumour microenvironment; single-cell RNA sequencing; spatial transcriptomics; breast cancer; machine learning;

    Abstract : The mortality rate is high for cancer patients and treatments are only efficient in a fraction of patients. To be able to cure more patients, new treatments need to be invented. Immunotherapy activates the immune system to fight against cancer and one treatment targets immune checkpoints. READ MORE

  6. 5. Identifying cell type-specific proliferation signatures in spatial transcriptomics data and inferring interactions driving tumour growth

    University essay from Uppsala universitet/Neuroonkologi och neurodegeneration

    Author : Felix Wærn; [2023]
    Keywords : spatial transcriptomics; breast cancer; dimensionality reduction; bioinformatics; deconvolution;

    Abstract : Cancer is a dangerous disease caused by mutations in the host's genome that makes the cells proliferateuncontrollably and disrupts bodily functions. The immune system tries to prevent this, but tumours have methods ofdisrupting the immune system's ability to combat the cancer. READ MORE