官方服务：
资源简介：
Autoantibody data set used in the project titled "Predicting response and toxicity to PD-1 inhibition using serum autoantibodies identified from immuno-mass spectrometry"
应用场景：
创建时间：
2020-04-17
相关数据集
A new epithelial cell subpopulation predicts response to surgery, chemotherapy, and immunotherapy in bladder cancer. A new epithelial cell subpopulation predicts response to surgery, chemotherapy, and immunotherapy in bladder cancer
The advent of neoadjuvant chemotherapy (NAC) prior to surgery and immune checkpoint therapy (ICT) have revolutionized bladder cancer management1-7. However, stratification of patients that would benef
NIAID Data Ecosystem30
Erratum: Minor Elevation in C-Reactive Protein Levels Predicts Incidence of Erythropoiesis-Stimulating Agent Hyporesponsiveness among Hemodialysis Patients
Background: Hemodialysis (HD) patients occasionally experience minor asymptomatic elevation in C-reactive protein (CRP) levels, which may be associated with difficulty in managing renal anemia using e
Figshare2017-07-25 更新30
Patient and xenograft-derived organoids recapitulate pediatric brain tumors features and patient treatments [scRNA-Seq]
Brain tumors are the leading cause of cancer-related death in children. Experimental in vitro models that faithfully capture the hallmarks and tumor heterogeneity of pediatric brain cancer are limited
NIAID Data Ecosystem20
Variability of the metabolomic profiles in terms of potential confounding variables in the four principal components identified by PCA and expressed as F-values together with the corresponding p-values (in brackets).
ANOVA test, significant values (p<0.05) are in bold. Smoking, co-morbidity, ACPA and RF variables are defined as presence or absence; dietary habits variable is defined as mediterranean diet or non-me
NIAID Data Ecosystem30
Table_1_Development and validation of an inflammatory response-related signature in triple negative breast cancer for predicting prognosis and immunotherapy.xls
BackgroundInflammation is one of the most important characteristics of tumor tissue. Signatures based on inflammatory response-related genes (IRGs) can predict prognosis and treatment response in a va
NIAID Data Ecosystem30
