{"title":"Fast processing of gynecologic cancer tissue in Danish Cancer Biobank makes them well-suited for biomarker studies.","authors":"Frederik von Wowern, Estrid Høgdall","doi":"10.1111/apm.13481","DOIUrl":null,"url":null,"abstract":"<p><p>Gynecologic cancers remain a frequent and deadly diagnosis. Historically, treatment has focused on a \"one size fits all\" approach, but there is an urgent need for more personal medicine. Hence, to enhance personal medicine, new biomarkers are needed. Samples from the Danish Cancer Biobank (DCB) may be well-suited for biomarker studies, as the biobank contains samples from more than 100.000 cancer patients, and the samples are annotated with pre-analytical variables. The aim of this study was to investigate if the recorded pre-analytical variables indicate the gynecologic tissue in DCB are suited for biomarker studies. Data on processing time, transport time, and registration- and verification status were extracted from all patients with a gynecologic tissue sample collected between 2020 and 2022 in DCB. The mean processing time across centers was found to be 1.03 h (SD = 0.71), and the mean transport time was found to be 0.32 h (SD = 0.70). In total, 69% of the tissue samples were pathologically examined, and 91.5% of the pathologically examined samples were found to be concordant with the patient's final diagnosis. While differences were observed, 98% of the samples were processed within 3 h, indicating the majority of gynecologic tissue samples in DCB are of high quality and optimal for biomarker studies.</p>","PeriodicalId":8167,"journal":{"name":"Apmis","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Apmis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/apm.13481","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Gynecologic cancers remain a frequent and deadly diagnosis. Historically, treatment has focused on a "one size fits all" approach, but there is an urgent need for more personal medicine. Hence, to enhance personal medicine, new biomarkers are needed. Samples from the Danish Cancer Biobank (DCB) may be well-suited for biomarker studies, as the biobank contains samples from more than 100.000 cancer patients, and the samples are annotated with pre-analytical variables. The aim of this study was to investigate if the recorded pre-analytical variables indicate the gynecologic tissue in DCB are suited for biomarker studies. Data on processing time, transport time, and registration- and verification status were extracted from all patients with a gynecologic tissue sample collected between 2020 and 2022 in DCB. The mean processing time across centers was found to be 1.03 h (SD = 0.71), and the mean transport time was found to be 0.32 h (SD = 0.70). In total, 69% of the tissue samples were pathologically examined, and 91.5% of the pathologically examined samples were found to be concordant with the patient's final diagnosis. While differences were observed, 98% of the samples were processed within 3 h, indicating the majority of gynecologic tissue samples in DCB are of high quality and optimal for biomarker studies.
期刊介绍:
APMIS, formerly Acta Pathologica, Microbiologica et Immunologica Scandinavica, has been published since 1924 by the Scandinavian Societies for Medical Microbiology and Pathology as a non-profit-making scientific journal.