Results 281 to 290 of about 98,614 (388)
Integrated osteosarcoma and exosome gene datasets identified differentially expressed and module genes, with their intersection as candidate genes. Core genes were identified through enrichment analysis and machine learning. Core gene expression was compared between control and osteosarcoma groups.
Zheng Li+7 more
wiley +1 more source
Pre-treatment nomogram for biochemical control after neoadjuvant androgen deprivation and radical radiotherapy for clinically localised prostate cancer [PDF]
Chris Parker+4 more
openalex +1 more source
Development and validation of nomograms for predicting survival of locally advanced rectosigmoid junction cancer patients: a SEER database analysis. [PDF]
Zhu S+6 more
europepmc +1 more source
A PANoptosis‐Based Signature for Survival and Immune Predication in Glioblastoma Multiforme
ABSTRACT Objective PANoptosis is a concept of total cell death characterized by pyroptosis, apoptosis, and necroptosis. We aimed to explore the clinical significance of PANoptosis‐related genes (PARGs) in glioblastoma multiforme (GBM). Methods Expression profiles of GBM were downloaded from the XENA database as a training dataset to construct a ...
Jun Yang+4 more
wiley +1 more source
A major error in nomograms for estimating body mass index
Henry S. Kahn
openalex +1 more source
Development and validation of nomograms to forecast overall survival and cancer-specific survival in Asian patients diagnosed with epithelial ovarian cancer. [PDF]
He H+5 more
europepmc +1 more source
Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma
ABSTRACT Objective Glioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy. Methods We analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression ...
Tong Zhao+4 more
wiley +1 more source