食管鳞状细胞癌与腺癌精准治疗候选治疗基因鉴定数据表（Table1）

数据集获取（Figshare）

• 源站标题：Table1_Identification of Candidate Therapeutic Genes for More Precise Treatment of Esophageal Squamous Cell Carcinoma and Adenocarcinoma.DOC
• DOI：10.3389/fgene.2022.844542.s008
• 发布日期：2022-05-19
• 文件数：1 个
• 文件总体积：68.61 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table1_Identification_of_Candidate_Therapeutic_Genes_for_More_Precise_Treatment_of_Esophageal_Squamous_Cell_Carcinoma_and_Adenocarcinoma_DOC/19792423

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curl -L -o "Table1_Identification of Candidate Therapeutic Genes for More Precise Treatment of Esophageal Squamous Cell Carcinoma and Adenocarcinoma.DOC" "https://ndownloader.figshare.com/files/35164852"

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• Table1_Identification of Candidate Therapeutic Genes for More Precise Treatment of Esophageal Squamous Cell Carcinoma and Adenocarcinoma.DOC（68.61 KB）

文件总体积 68.61 KB（源站 API 实测）。

数据说明

The standard therapy administered to patients with advanced esophageal cancer remains uniform, despite its two main histological subtypes, namely esophageal squamous cell carcinoma (SCC) and esophageal adenocarcinoma (AC), are being increasingly considered to be different. The identification of potential drug target genes between SCC and AC is crucial for more effective treatment of these diseases, given the high toxicity of chemotherapy and resistance to administered medications. Herein we attempted to identify and rank differentially expressed genes (DEGs) in SCC vs. AC using ensemble feature selection methods. RNA-seq data from The Cancer Genome Atlas and the Fudan-Taizhou Institute of Health Sciences (China). Six feature filters algorithms were used to identify DEGs. We built robust predictive models for histological subtypes with the random forest (RF) classification algorithm. Pathway analysis also be performed to investigate the functional role of genes. 294 informative DEGs (87 of them are newly discovered) have been identified. The areas under receiver operator curve (AUC) were higher than 99.5% for all feature selection (FS) methods. Nine genes (i.e., ERBB3, ATP7B, ABCC3, GALNT14, CLDN18, GUCY2C, FGFR4, KCNQ5, and CACNA1B) may play a key role in the development of more directed anticancer therapy for SCC and AC patients. The first four of them are drug targets for chemotherapy and immunotherapy of esophageal cancer and involved in pharmacokinetics and pharmacodynamics pathways. Research identified novel DEGs in SCC and AC, and detected four potential drug targeted genes (ERBB3, ATP7B, ABCC3, and GALNT14) and five drug-related genes.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fgene.2022.844542.s008（source: https://frontiersin.figshare.com/articles/dataset/Table1_Identification_of_Candidate_Therapeutic_Genes_for_More_Precise_Treatment_of_Esophageal_Squamous_Cell_Carcinoma_and_Adenocarcinoma_DOC/19792423）。