The prognostic and predictive value of a six-microRNA-based classifier in stage II colon cancer
收藏官方服务：
资源简介：
The prognostic and predictive value of a six-microRNA-based classifier in stage II colon cancer
应用场景：
创建时间：
2013-11-29
相关数据集
Table_1_Development and Validation of a Novel Hypoxia Score for Predicting Prognosis and Immune Microenvironment in Rectal Cancer.XLSX
Hypoxia plays a major role in various tumor types. However, few studies have concentrated on the prognostic model of hypoxia-related genes in rectal cancer and the effect of hypoxia on neutrophil-medi
NIAID Data Ecosystem100
Phase Fase II examination of irinotecan, cetuximab and everolimus for patients resistente to chemoptherapy with metastatic colorectal cancer and KRAS mutation or with KRAS wildtype after progression on therapy with irinotecan og cetuximab – effect and biological markers.
Main objective: • Disease control as the sum of number of patients with CR, PR and SD. Primary endpoints: Disease control as sum of number of patients with CR, PR, and SD
NIAID Data Ecosystem20
DataSheet_1_A novel risk score model based on gamma-aminobutyric acid signature predicts the survival prognosis of patients with breast cancer.zip
BackgroundGamma-aminobutyric acid (GABA) participates in the migration, differentiation, and proliferation of tumor cells. However, the GABA-related risk signature has never been investigated. Hence,
NIAID Data Ecosystem10
Postoperative Serum Levels of sCD26 for Surveillance in Colorectal Cancer Patients
One of the main aims of the follow-up after curative resection of colorectal cancer is the early detection and treatment of tumor recurrence. We previously demonstrated decreased preoperative soluble
Figshare2016-01-15 更新50
Patient characteristics (including Age at diagnosis, Binet stage, Rai stage, IgVH mutation status (um indicates unmutated, m mutated), genomic aberrations such as deletion 11q, deletion 13q14, deletion 17p, trisomy 12, ZAP70 status (pos indicates ZAP70 expression > 20%, neg indicates ZAP70 expression < 20%) (n.d. indicates not done, 1 indicates variable present, 0 indicates variable not present).
Patient characteristics (including Age at diagnosis, Binet stage, Rai stage, IgVH mutation status (um indicates unmutated, m mutated), genomic aberrations such as deletion 11q, deletion 13q14, deletio
NIAID Data Ecosystem20
