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Identification of Cancer/Testis Antigens Related to Gastric Cancer Prognosis Based on Co-Expression Network Analysis and Integrated Transcriptome Analysis

NIAID Data Ecosystem2026-03-13 收录

癌症生物标志物

胃癌转录组学

数据链接：

https://data.mendeley.com/datasets/h4gjg7jyyx 数据链接链接失效反馈

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资源简介：

All supplementary data regarding this paper are provided in this datasets

应用场景：

创建时间：

2022-06-09

癌症生物标志物

肿瘤免疫治疗靶点

IntroductionProstate adenocarcinoma (PRAD) is a highly aggressive malignancy with high mortality and poor prognosis, and its potential mechanism remains unclear. Our study aimed to identify novel mark

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A Novel Three Serum Phospholipid Panel Differentiates Normal Individuals from Those with Prostate Cancer

癌症生物标志物

血清磷脂组学

BackgroundThe results of prostate specific antigen (PSA) and digital rectal examination (DRE) screenings lead to both under and over treatment of prostate cancer (PCa). As such, there is an urgent nee

Figshare2016-01-18 更新10

Supplementary Material for: Integrating MicroRNA Expression Profiling Studies to Systematically Evaluate the Diagnostic Value of MicroRNAs in Pancreatic Cancer and Validate Their Prognostic Significance with the Cancer Genome Atlas Data

癌症生物标志物

miRNA诊断

Background/Aims: MicroRNAs (miRNAs) are promising biomarkers for pancreatic cancer (PaCa). However, systemic and unified evaluations of the diagnostic value of miRNAs are lacking. Therefore, we perfor

Figshare2018-08-30 更新10

Table_7_Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers.XLSX

癌症生物标志物

通路突变分析

DNA mutations play a crucial role in cancer development and progression. Mutation profiles vary dramatically in different cancer types and between individual tumors. Mutations of several individual ge

NIAID Data Ecosystem20

DataSheet_2_Identification of adenylate cyclase 2 methylation in bladder cancer with implications for prognosis and immunosuppressive microenvironment.zip

癌症生物标志物

甲基化分析

BackgroundThe incidence and mortality of bladder cancer (BCa) are increasing, while the existing diagnostic methods have limitations. Therefore, for early detection and response prediction, it is cruc

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