Browsing by Subject "Labchip"

Lynch syndrome (LS) is the most common cancer predisposition disease caused by dominantly inherited pathogenic variant (PV) of a mismatch repair (MMR) gene leading to a defective gene allele. The four major MMR genes encode MMR proteins – MSH2, MSH6, MLH1 ja PMS2 – that participate in the proofreading and repairing of the daughter strand for mismatches after every replication. The inherited PVs predispose to cancer development as only one somatic allele loss is required for biallelic loss according to the Knudson’s “two-hit” hypothesis. The biallelic loss of an MMR-gene leads to disrupted protein function altering the MMR process. When mismatches are left unrepaired, genomic instability is caused, which can eventually lead to tumorigenesis. Especially, the risk of colorectal cancer (CRC) and endometrial cancer (EC) is increased in LS. The predisposition syndrome, LS, is important to detect as early as possible to decrease the risk of cancer by prevention and surveillance. The MMR genes and their defects vary in their consequences to the repair process considerably, and thus, it is crucial to know the different characteristics and functional effects of them when estimating the level of cancer risk. Variants of uncertain significance (VUS) are especially prevalent among LS variants. More information about their impact to the disease can be acquired by in vitro and in silico methods, for instance. The main goal of the efforts for early detection and prevention is to reduce cancer morbidity and mortality. In this thesis, the pathogenicities of MSH2 and MSH6 variants were studied with DiagMMR assay, which has been developed for studying the protein function of these genes. In addition to the traditional agarose gel electrophoresis (AGE), the samples were also analyzed by a fragment analyzer, Labchip, that bases its function on capillary electrophoresis. This way the MMR detection efficiency of the methods could be compared. Samples were collected as skin biopsies from controls and LS patients with known MMR gene variants by Helsinki University Central Hospital (HUCH). InSiGHT database, that collects the different MMR-gene variants and their pathogenicity classification, was used to ensure that different kinds of variations, both pathogenic (class 5) and currently internationally unlisted variants, were analysed. The skin samples were cultured to acquire primary fibroblasts for nuclear protein extraction. The level of pathogenicity was revealed by MMR-protein activity when substrate DNA with a mismatch was added to the extract. Then, restriction enzymes were used for producing fragments of different lengths, depending on the repair action, and the MMR efficiency was visualized by both electrophoretic methods. Additionally, MAPP-MMR tool was used for studying the MSH2 mismatch variants in silico. By comparing the results from these two methods, we show that the more quantitative Labchip brings diagnostic value to DiagMMR suggesting 100% specificity (n=10) and 90,9% (n=11) sensitivity in reference to the variant information. For example, MSH6 c.3103C>T, which is listed as pathogenic in InSiGHT, was more consistent in giving a MMR deficient (dMMR) result with Labchip. Difference in the functional detection could be seen particularly with the MSH6 variants, but the differences were less notable when Labchip results were compared to the previous interpretations of the samples made based on the validated DiagMMR protocol. With the unlisted MSH6 variants, c.3139dupT was detected as dMMR by Labchip which was in unison with the previous interpretation. Another one, MSH6 c.551delA, was seen as MMR proficient (pMMR) in all the results by both the methods, and with the previous interpretation being unclear, which highlights the importance of further testing of this variant. There was also one unlisted variant (c.1805T>C) among MSH2 for which we got uniform dMMR results in two patients. The high MAPP-MMR score (25.150) for the MSH2 p.Leu602Pro amino acid change also supported the evidence gained of the pathogenic nature of this variant. As a conclusion, DiagMMR can be used reliably for MMR efficiency analysis, especially when performed together with a more quantitative analysis method.