A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer

ChEBI2011-01-20 更新2026-07-21 收录

卵巢癌预后预测

基因表达生物标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-26712 数据链接链接失效反馈

官方服务：

资源简介：

A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer

创建时间：

2011-01-20

Table_1_Tumor Immune Microenvironment Related Gene-Based Model to Predict Prognosis and Response to Compounds in Ovarian Cancer.xls

肿瘤微环境模型

卵巢癌预后预测

BackgroundThe tumor immune microenvironment (TIME) has been recognized to be an imperative factor facilitating the acquisition of many cancer-related hallmarks and is a critical target for targeted bi

NIAID Data Ecosystem100

Additional file 2 of A prognostic model based on immune-related long noncoding RNAs for patients with epithelial ovarian cancer

卵巢癌预后预测

免疫相关lncRNA

Additional file 2. Supplementary Table S2: A list of 421 differentially expressed immune-related lncRNAs.

NIAID Data Ecosystem70

RNA-sequencing of human monocytes from subjects over 42h under a constant routine protocol

昼夜节律时间测定

基因表达生物标志物

The goal of the present study is to develop an objective and simple assay to determine internal circadian time of humans for both clinical and research use (BodyTime assay). Specifically, we aim to ac

NIAID Data Ecosystem30

Transcriptional profiling of liver from wild type and PXR-null mice treated with PCN

毒性评估

基因表达生物标志物

Many environmentally-relevant chemicals and drugs activate the nuclear receptor pregnane X receptor (PXR). Activation of PXR can lead to increases in liver weight in part through hepatocyte replicati

NIAID Data Ecosystem80

Gene expression profiles of melanoma tumor samples from patients treated with checkpoint inhibitors (human). Gene expression profiles of melanoma tumor samples from patients treated with checkpoint inhibitors (human)

黑色素瘤免疫治疗

基因表达生物标志物

Tumor samples were obtained from patients with metastatic melanoma before treatment with checkpoint inhibitors. Overall design: melanoma tumor samples from patients treated with checkpoint inhibitors

NIAID Data Ecosystem40

A Gene Signature Predicting for Survival in Suboptimally Debulked Patients with Ovarian Cancer

资源简介：

相关数据集