Ontology highlight
ABSTRACT: Background
In the era of personalized cancer medicine, identifying techniques for effectively matching patients to efficacious treatments is a critical step in the treatment process. The advent of anti-cancer immunotherapies necessitates novel approaches to biomarker identification beyond traditional genomic profiling. One promising approach is incorporation of nomograms into treatment decisions. Nomograms are prediction tools, based on statistical modeling, designed to predict treatment outcomes. As a first step toward developing a nomogram, we conducted analyses to predict CD137 expression of natural killer cells after monoclonal antibody (mAb) treatment.Patients and methods
Patient, tumor and immune characteristics were collected from 199 patients with breast cancer (N =
SUBMITTER: Makkouk A
PROVIDER: S-EPMC6246233 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature