Avancerad sökning

Hittade 3 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Stromal components and micro-RNAs as biomarkers in pancreatic cancer

    Författare :Oskar Franklin; Malin Sund; Daniel Öhlund; Ola Billing; Marco Del Chiaro; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pancreatic cancer; stroma; basement membrane; tumour markers; type IV collagen; endostatin; osteopontin; tenascin c; hyaluronan; CD44; micro-RNA; kirurgi; Surgery;

    Sammanfattning : Background Pancreatic ductal adenocarcinoma (PDAC) patients have the poorest 5-year survival rates of all cancer forms. It is difficult to diagnose at early disease stages, tumour relapse after surgery is common, and current chemotherapies are ineffective. LÄS MER

  3. 2. In search of early biomarkers in pancreatic ductal adenocarcinoma using multi-omics and bioinformatics

    Författare :Emmy Borgmästars; Malin Sund; Ola Billing; Pär Jonsson; Zelmina Lubovac-Pilav; Oskar Franklin; Stefan Enroth; Umeå universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Pancreatic cancer; microRNA functional analysis; TPS; miRNomics; metabolomics; proteomics; plasma samples; early detection; risk; survival;

    Sammanfattning : Background: Pancreatic ductal adenocarcinoma (PDAC) is a very aggressive malignancy with a 5-year survival of 10 %. Surgery is the only curative treatment. Unfortunately, few patients are eligible for surgery due to late detection. Thus, we need ways to detect the disease at an earlier stage and for that good screening biomarkers could be used. LÄS MER

  4. 3. Optimal thinning : a theoretical investigation on individual-tree level

    Författare :Peter Fransson; Åke Brännström; Ola Lindroos; Oskar Franklin; Per Lundberg; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Forest management; Simulation; Optimization; Spatially explicit model; Individual-based model;

    Sammanfattning : Paper I: In paper I, we asked how a tree should optimally allocate its resources to maximize its fitness. We let a subject tree grow in an environment shaded by nearby competing trees. The competitors were assumed to have reached maturity and had stopped growing, thus creating a static light environment for the subject tree to grow in. LÄS MER