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Pancreatic-miRaCan-VTE: A R Shiny App to Aid in the Diagnosis of Pancreatic Cancer-associated VTE

1Haemostasis, Thrombosis, Atherosclerosis and Vascular Biology Research Group, Medical Research Institute Hospital La Fe, Valencia, Spain, 2Department of Gastrointestinal Surgery and Center of Clinical Cancer Research, Aalborg University Hospital, Aalborg, Denmark, 3Angiology and Vascular Surgery Service, La Fe University and Polytechnic Hospital, Valencia, Spain, 4Data Science, Biostatistics and Bioinformatics Unit, Medical Research Institute Hospital La Fe, Valencia, Spain, 5Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark, 6Department of Clinical Medicine, Aalborg University, Aalborg, Denmark

Abstract Number: PB1136

Meeting: ISTH 2021 Congress

Theme: Venous Thromboembolism » Cancer Associated Thrombosis

Background: Cancer-associated venous thromboembolism (VTE) increases mortality and morbidity. However, limited tools are available to identify high risk patients. microRNAs (miRNAs) are small non-coding RNAs that regulate protein expression. miRNAs seem to regulate cancer progression and VTE. We have previously reported a profile of 7 plasma miRNAs able of estimate the risk of future VTE at diagnosis in biliopancreatic cancer patients (AUC = 0.95; 95% Confidence Interval [0.987, 1]) (1)

Aims: To develop an open online app to rapidly calculate the risk of future VTE events in biliopancreatic cancer patients using a plasma profile of 7 miRNAs.

Methods: The interface was created with using R (v4.0.2) and Shiny (v1.4). We created a short introduction followed by a friendly menu where any researcher can upload the expression level of 7 miRNAs in their patients and obtain a VTE prediction value.

Results: In this tool, any researcher worldwide can introduce the miRNA expression data from their biliopancreatic cancer patients and rapidly obtain a prediction of future VTE events. The steps in the process are:
1) Quantify by RT-qPCR the expression levels of 7 miRNAs (miR-486-5p, miR-106b-5p, let-7i-5p, let-7g-5p, miR-144-3p, miR-19a-3p and miR-103a-3p) and the normalizer (miR-93-5p).
2) Upload raw Ct values in a user-friendly interface.
3) Download a file with the predictions for each study subject.

Conclusions: We have developed the Shiny App Pancreatic-miRaCan-VTE, a free available online tool to easy and rapidly estimate the risk of future VTE events in biliopancreatic cancer patients. The use of Pancreatic-miRaCan-VTE could support the personalized management of biliopancreatic cancer patients in whom to tailor thromboprophylaxis to prevent adverse thrombotic complications. ISCIII-FEDER (PI17/00495, PI20/00075), GVA (ACIF/2017/138), Sociedad Española de Trombosis y Hemostasia.
1. Oto J et al. Int J Mol Sci 2020 Jan 28;21(3):840. doi: 10.3390/ijms21030840.

To cite this abstract in AMA style:

Oto J, C Larsen A, Plana E, Herranz R, Cana F, Hervás D, Cañada A, Fernández-Pardo Á, R Kristensen S, Thorlacius-Ussing O, Medina P. Pancreatic-miRaCan-VTE: A R Shiny App to Aid in the Diagnosis of Pancreatic Cancer-associated VTE [abstract]. Res Pract Thromb Haemost. 2021; 5 (Suppl 2). https://abstracts.isth.org/abstract/pancreatic-miracan-vte-a-r-shiny-app-to-aid-in-the-diagnosis-of-pancreatic-cancer-associated-vte/. Accessed September 30, 2023.

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