机器学习特征分泌粒蛋白V作为胰腺导管腺癌循环诊断生物标志物数据集

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• 源站标题：DataSheet_1_Machine learning-featured Secretogranin V is a circulating diagnostic biomarker for pancreatic adenocarcinomas associated with adipopenia.docx
• DOI：10.3389/fonc.2022.942774.s001
• 发布日期：2022-08-17
• 文件数：1 个
• 文件总体积：690.99 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Machine_learning-featured_Secretogranin_V_is_a_circulating_diagnostic_biomarker_for_pancreatic_adenocarcinomas_associated_with_adipopenia_docx/20501973

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• DataSheet_1_Machine learning-featured Secretogranin V is a circulating diagnostic biomarker for pancreatic adenocarcinomas associated with adipopenia.docx（690.99 KB）

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数据说明

BackgroundPancreatic cancer is one of the most fatal malignancies of the gastrointestinal cancer, with a challenging early diagnosis due to lack of distinctive symptoms and specific biomarkers. The exact etiology of pancreatic cancer is unknown, making the development of reliable biomarkers difficult. The accumulation of patient-derived omics data along with technological advances in artificial intelligence is giving way to a new era in the discovery of suitable biomarkers.
MethodsWe performed machine learning (ML)-based modeling using four independent transcriptomic datasets, including GSE16515, GSE62165, GSE71729, and the pancreatic adenocarcinoma (PAC) dataset of the Cancer Genome Atlas. To find candidates for circulating biomarkers, we exported expression profiles of 1,703 genes encoding secretory proteins. Integrating three transcriptomic datasets into either a training or test set, ML-based modeling distinguishing PAC from normal was carried out. Another ML-model classifying long-lived and short-lived patients with PAC was also built to select prognosis-associated features. Finally, circulating level of SCG5 in the plasma was determined from the independent cohort (non-tumor = 25 and pancreatic cancer = 25). We also investigated the impact of SCG5 on adipocyte biology using recombinant protein.
ResultsThree distinctive ML-classifiers selected 29-, 64- and 18-featured genes, recognizing the only common gene, SCG5. As per the prediction of ML-models, the SCG5 transcripts was significantly reduced in PAC and decreased further with the progression of the tumor, indicating its potential as a diagnostic as well as prognostic marker for PAC. External validation of SCG5 using plasma samples from patients with PAC confirmed that SCG5 was reduced significantly in patients with PAC when compared to controls. Interestingly, plasma SCG5 levels were correlated with the body mass index and age of donors, implying pancreas-originated SCG5 could regulate energy metabolism systemically. Additionally, analyses using publicly available Genotype-Tissue Expression datasets, including adipose tissue histology and pancreatic SCG5 expression, further validated the association betw

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CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fonc.2022.942774.s001（source: https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Machine_learning-featured_Secretogranin_V_is_a_circulating_diagnostic_biomarker_for_pancreatic_adenocarcinomas_associated_with_adipopenia_docx/20501973）。