Sökning: "lung carcinoma"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden lung carcinoma.

  1. 1. The role of Platelet-derived growth factor receptor β-signaling in non-small cell lung cancer

    Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning; Uppsala universitet/Institutionen för immunologi, genetik och patologi

    Författare :Louise Hellberg; [2022]
    Nyckelord :pathology; lung cancer; PLA; PDGFR;

    Sammanfattning : A high expression of stromal PDGFRβ is known to be a poor prognosis marker in several solid tumor types. However, the role of stromal PDGFRβ for non-small cell lung cancer (NSCLC) patients remains unclear. LÄS MER

  3. 2. Studying the Whole Through the Sum of its Parts: Comparing CD8+ Tumour Infiltrating Lymphocytes in Three Types of Human Carcinoma

    Kandidat-uppsats, Lunds universitet/Läkarutbildningen

    Författare :Gustav Christensson; [2020]
    Nyckelord :Cancer; immunotherapy; scRNA-seq; tumour-infiltrating lymphocyte; CD8 T cells; Medicine and Health Sciences;

    Sammanfattning : Background: Tumour-infiltrating lymphocytes (TILs) that persist in chronic infections gradually lose their effector functions and become “exhausted”. Immune checkpoint blockade is an emerging cancer treatment which aims to induce exhausted TILs into regaining their effector function to fight neoplastic cells. LÄS MER

  4. 3. Analysis of single cell RNA seq data to identify markers for subtyping of non-small cell lung cancer

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Veena K. Reddy; [2020]
    Nyckelord :;

    Sammanfattning : Single cell RNA technology is a recent technical advancement used to understand the cancertumorgenicity at single cell resolution. In this study we have analyzed the scRNA data from thenon-small cell lung cancer (NSCLC) dataset to facilitate the early identification of NSCLCsubtypes namely, squamous cell carcinoma (SCC) and adenocarcinoma (AC). LÄS MER

  5. 4. Two subtypes of lung cancer classification from histopathology images based on deep learning

    Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Xiao Chen Shen; [2019]
    Nyckelord :deep learning; lung cancer; transfer learning; ensemble learning; Physics and Astronomy;

    Sammanfattning : Adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) are the most common forms of lung cancer. These two subtypes of lung cancer are usually classified by visual inspection clinically. Our aim is to design an effective strategy based on convolutional neural networks to classify histopathology slides of these two types of lung cancer. LÄS MER

  7. 5. REPLICATING THE TUMOUR MICROENVIRONMENT:CHEMOSENSITIVITY TESTING IN FIBROBLAST COCULTURES

    Kandidat-uppsats, Uppsala universitet/Institutionen för kvinnors och barns hälsa

    Författare :Alexandra Ask; [2017]
    Nyckelord :Drug resistance; chemotherapy; lung carcinoma; colorectal cancer; FMCA;

    Sammanfattning : .... LÄS MER