review protocol.docx

NIAID Data Ecosystem2026-03-11 收录

肿瘤预后生物标志物

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This is a review protocol to perform a scoping review evaluating significance of a telomere length as a prognostic marker in colorectal cancer.

创建时间：

2019-05-03

Gastric and esophagogastric junction adenocarcinoma with infrequent hypermethylation show poor prognosis

胃癌甲基化

肿瘤预后生物标志物

Background Gastric cancer (GC) was characterized by unique DNA methylation epigenotypes (MEs). Still, MEs, including adenocarcinoma of the esophagogastric junction (AEG) and background non-neoplastic

NIAID Data Ecosystem40

Global Gene Expression Analysis of Canine Cutaneous Mast Cell Tumor: Could Molecular Profiling Be Useful for Subtype Classification and Prognostication?

犬肥大细胞瘤分子分型

肿瘤预后生物标志物

Prognosis and therapeutic management of dogs with cutaneous mast cell tumors (MCTs) depend on clinical stage and histological grade. However, the prognostic value of this latter is still questionable.

NIAID Data Ecosystem30

Expression profiling of GIST: CD133 is associated with KIT exon 11 deletion, gastric location and poor prognosis

胃肠道间质瘤分子分型

肿瘤预后生物标志物

Background & Aims: In gastrointestinal stromal tumors (GIST) KIT exon 11 deletions are associated with poor prognosis. The aim of this study was to determine the gene expression profile of GIST carryi

NIAID Data Ecosystem20

Table_3_Comprehensive Analysis of Regulatory Networks of m6A Regulators and Reveals Prognosis Biomarkers in Sarcoma.xlsx

m6A调控网络

肿瘤预后生物标志物

Sarcomas are rare malignant tumors that may arise from anywhere of the body, such as bone, adipose, muscle and vascular. However, the conventional pathogenesis of sarcomas has not been found. Therefor

NIAID Data Ecosystem40

Table_2_Increased ASF1B Expression Correlates With Poor Prognosis in Patients With Gliomas.xlsx

肿瘤预后生物标志物

神经肿瘤学转录组分析

BackgroundSeveral studies have suggested that anti-silencing function 1 B (ASF1B) can serve as a good potential marker for predicting tumor prognosis. But the values of ASF1B in gliomas have not been

NIAID Data Ecosystem30

review protocol.docx

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