甲状腺癌是内分泌系统癌症中最常见的类型。癌前期和早期阶段通常是良性的或生长缓慢，不需要侵入性治疗。本研究调查了四类样本的挑战性分类任务，即正常对照（N）、甲状腺腺瘤（TA）、甲状腺乳头状癌（PTC）和转移性甲状腺乳头状癌（MPTC）。我们提出了一个多视图进展诊断框架 ThyroidBloodTest 来整合 RNAseq 血小板转录组 (View-T) 和血常规 (View-B) 两个视图的特征。血小板转录组代表了分子水平的信息，而血常规特征在临床实践中很容易获得。针对两种视图评估了十一种特征选择算法和七个分类器。实验数据表明选择适当的数据分析算法和主成分分析（PCA）等特征工程技术的重要性。最佳 ThyroidBloodTest 模型基于 View-T 和 View-B 的集成特征空间，对 N/TA/PTC/MPTC 样本进行四类分类，获得 Acc = 0.8750。观察到细胞定位胞浆和三种翻译后修饰类型乙酰化/磷酸化/泛素化在 View-T 生物标志物编码的蛋白质中富集。不同免疫细胞的数量也对甲状腺癌的进展诊断做出了积极贡献。所提出的多视图预测模型证明了整合血小板转录组和血常规检测来诊断甲状腺癌进展的必要性。版权所有 © 2023 Elsevier Ltd. 保留所有权利。

Thyroid cancer is the most common type of endocrine system cancer. The pre-cancer and early stages are usually benign or slowly growing, and do not need invasive treatments. This study investigated the challenging classification task of four classes of samples, i.e., normal controls (N), thyroid adenomas (TA), papillary thyroid cancers (PTC) and metastasized papillary thyroid cancers (MPTC). We proposed a multi-view progression diagnosis framework ThyroidBloodTest to integrate the two views of RNAseq platelet transcriptomes (View-T) and blood routine (View-B) features. Platelet transcriptome represented the molecular-level information, while the blood routine features were easy to obtain in the clinical practice. Eleven feature selection algorithms and seven classifiers were evaluated for both views. The experimental data suggested the importance of choosing appropriate data analysis algorithms and feature engineering techniques like principal component analysis (PCA). The best ThyroidBloodTest model achieved Acc = 0.8750 for the four-class classification of the N/TA/PTC/MPTC samples based on the integrated feature space of View-T and View-B. The cellular localization cytosol and three post-translational modification types acetylation/phosphorylation/ubiquitination were observed to be enriched in the proteins encoded by the View-T biomarkers. The numbers of different immune cells also contributed positively to the progression diagnosis of thyroid cancer. The proposed multi-view prediction model demonstrated the necessity of integrating both platelet transcriptomes and blood routine tests for the progression diagnosis of thyroid cancer.Copyright © 2023 Elsevier Ltd. All rights reserved.