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Partially degraded RNA from bladder washing is a suitable sample for studying gene expression profiles of bladder cancer

ChEBI2010-07-01 更新2026-07-21 收录

膀胱癌分子诊断

RNA降解样本分析

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-3192 数据链接链接失效反馈

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Partially degraded RNA from bladder washing is a suitable sample for studying gene expression profiles of bladder cancer

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创建时间：

2010-07-01

液体活检

膀胱癌分子诊断

Additional file 1: Fig. S1. A detailed schematic of the study. Fig. S2. The mutation landscape in the two cohorts. A. The mutation landscape and clinical characteristics in patients with hematuria. B.

Figshare2024-08-14 更新70

Data for: Diagnostic value of combined IQGAP3/BMP4 and IQGAP3/FAM107A expression ratios in urinary cell-free DNA for discriminating bladder cancer from hematuria

膀胱癌分子诊断

尿生物标志物

This data included a validation cohort (149 BC and 125 hematuria controls). Specifically, urinary cell-free DNA IQGAP3/BMP4 and IQGAP3/FAM107A ratios were measured by real-time PCR in BC and hematuria

NIAID Data Ecosystem50

Methylcap-Seq Reveals Novel DNA Methylation Markers for the Diagnosis and Recurrence Prediction of Bladder Cancer in a Chinese Population

膀胱癌分子诊断

甲基化DNA生物标志物

PurposeThere is a need to supplement or supplant the conventional diagnostic tools, namely, cystoscopy and B-type ultrasound, for bladder cancer (BC). We aimed to identify novel DNA methylation marker

Figshare2016-01-19 更新20

Results of the microsatellite analysis of pre-TUR urine samples.

膀胱癌分子诊断

微卫星不稳定性分析

Results of the microsatellite analysis of pre-TUR urine samples.

Figshare2015-12-02 更新60

Gene expression signatures predict outcome in non-muscle invasive bladder carcinoma - a multi-center validation study. Homo sapiens

膀胱癌分子诊断

基因特征预测

Background Clinically useful molecular markers predicting the clinical course of patients diagnosed with non-muscle invasive bladder cancer are needed to improve treatment outcome. Methods We used cus

NIAID Data Ecosystem50

Partially degraded RNA from bladder washing is a suitable sample for studying gene expression profiles of bladder cancer

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