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Purpose: Several studies have described molecular differences between microsatellite stable hereditary nonpolyposis colorectal cancer (MSS-HNPCC) and microsatellite unstable Lynch syndrome tumors (MSI-HNPCC). These differences highlight the possibility that other instability forms could explain cancer susceptibility in this group of families.The base excision repair (BER) pathway is the major DNA repair pathway for oxidative DNA damage. A defect in this pathway can result in DNA transversion mutations and a subsequent increased cancer risk. Mutations in MUTYH have been associated with increased colorectal cancer (CRC) risk while no association has been described for OGG1 or NUDT1.Experimental Design: We performed mutational screening of the three genes involved in defense against oxidative DNA damage in a set of 42 MSS-HNPCC families.Results: Eight rare variants and 5 frequent variants were found in MSS-HNPCC patients. All variants were previously described by other authors except variant c.285C>T in OGG1. Segregation studies were done and in silico programs were used to estimate the level of amino acid conservation, protein damage prediction, and possible splicing alterations. Variants OGG1 c.137G>A; MUTYH c.1187G>A were detected in Amsterdam I families and cosegregate with cancer. Analysis of OGG1 c.137G>A transcripts showed an inactivation of the splicing donor of exon 1.Conclusions: Two rare variants (OGG1 c.137G>A; MUTYH c.1187G>A) and one common polymorphism (NUDT1 c.426C>T) were associated with CRC risk. We show that the BER pathway can play a significant role in a number of MSS-HNPCC colorectal cancers. More studies could be of interest in order to gain further understanding of yet unexplained CRC susceptibility cases. Clin Cancer Res; 17(7); 1701–12. ©2011 AACR.

Objectives: To quantify the workload and cost overload that the COVID-19 pandemic has meant for a Clinical Microbiology laboratory in a real-life scenario. Methods: We compared the number of samples received, their distribution, the human resources, and the budget of a Microbiology laboratory in the COVID pandemic (March–December 2020) with the same months of the previous year. Results: the total number of samples processed in the Clinical Microbiology laboratory in March to December 2020 increased 96.70% with respect to 2019 (from 246,060 to 483,993 samples), reflecting an increment of 127.50% when expressed as samples/1000 admissions (from 6057 to 13,780). The increase in workload was mainly at the expense of the virology (+2058%) and serology (+86%) areas. Despite additional personnel hiring, the samples processed per technician increased 12.5%. The extra cost attributed to Microbiology amounts to 6,616,511 euros (114.8%). Conclusions: This is the first study to provide quantitative figures about workload and cost increase caused by the COVID-19 in a Microbiology laboratory.