Relationship between miRNA expressions and various clinicopathologic prognostic factors.

NIAID Data Ecosystem2026-03-08 收录

数据链接：

https://figshare.com/articles/dataset/_Relationship_between_miRNA_expressions_and_various_clinicopathologic_prognostic_factors_/871986 数据链接链接失效反馈

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资源简介：

ΔCt = Ct (miR) – Ct(u6); LN, lymph node.

创建时间：

2013-12-09

Diagnostic value of circulating miRNAs among different ischemic diseases.

缺血性卒中诊断

miRNA生物标志物

AMI, acute myocardial infarction; PE, pulmonary embolism; IS, ischemic stroke; Combined score, the combination of miR-21-5p, miR-361-5p and miR-519e-5p; AUC, area under the ROC curve; 95% Cl, 95% conf

NIAID Data Ecosystem90

Table_3_Establishment of a 4-miRNA Prognostic Model for Risk Stratification of Patients With Pancreatic Adenocarcinoma.xlsx

癌症预后预测

miRNA生物标志物

Pancreatic adenocarcinomas (PAADs) often remain undiagnosed until later stages, limiting treatment options and leading to poor survival. The lack of robust biomarkers complicates PAAD prognosis, and p

NIAID Data Ecosystem20

DataSheet_1_Genome wide analysis of circulating miRNAs in growth hormone secreting pituitary neuroendocrine tumor patients’ plasma.zip

垂体肿瘤液体活检

miRNA生物标志物

BackgroundCirculating plasma miRNAs have been increasingly studied in the field of pituitary neuroendocrine tumor (PitNET) research. Our aim was to discover circulating plasma miRNAs species associate

NIAID Data Ecosystem20

Gene expression-signatures for non-small cell lung cancer patients with different EGFR muational status.

癌症分子分型

miRNA生物标志物

To identify a plasma miRNA panel that could help to separate NSCLC patients with EGFR sensitive mutations and wild-type EGFR, plasma samples of 3 EGFR19DEL, 3 EGFRp.L858R, and 3 EGFRWT patients with N

NIAID Data Ecosystem40

DataSheet_2_Case Report: Micro-RNAs in Plasma From Bilateral Inferior Petrosal Sinus Sampling and Peripheral Blood From Corticotroph Pituitary Neuroendocrine Tumors.xlsx

垂体神经内分泌肿瘤

miRNA生物标志物

ObjectiveCirculating miRNAs are found in bodily fluids including plasma and can serve as biomarkers for diseases. The aim of this study was to provide the first insight into the landscape of circulati

NIAID Data Ecosystem20

Relationship between miRNA expressions and various clinicopathologic prognostic factors.

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