Dataset Information

Characterizing CD137 upregulation on NK cells in patients receiving monoclonal antibody therapy.

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?=?62), head/neck cancers (N?=?46) and non-Hodgkin's lymphoma (NHL) (N?=?91), who were receiving mAb therapy as part of clinical trials. The difference in CD137 expression before and after mAb therapy was assessed by flow cytometry. To evaluate those who respond to mAb therapy via increased CD137 expression, we applied classification and regression trees (CART), multivariable lasso regression tools and Random Forest.

Results

The CD137 expression was significantly different for each cancer type [mean (SD): Breast: 6.6 (6.5); Head/Neck: 11.0 (7.0); NHL: 7.5 (7.1), P?ConclusionsOur preliminary results suggest that FcR polymorphism, pre-treatment CD137 expression and age are significant predictors of CD137 upregulation in patients. This study demonstrates that the development of a nomogram for therapy response is feasible. Further work validating our models in an independent cohort will provide the next steps in developing a nomogram that may be used to individualize this therapeutic approach for patients (NCT01114256).

SUBMITTER: Makkouk A

PROVIDER: S-EPMC6246233 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Publications

Characterizing CD137 upregulation on NK cells in patients receiving monoclonal antibody therapy.

Makkouk A A Sundaram V V Chester C C Chang S S Colevas A D AD Sunwoo J B JB Maecker H H Desai M M Kohrt H E HE

Annals of oncology : official journal of the European Society for Medical Oncology 20170201 2

<h4>Background</h4>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 ...[more]

PMID: 27831501

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Dataset Information

Characterizing CD137 upregulation on NK cells in patients receiving monoclonal antibody therapy.

Background

Patients and methods

Results

Publications

Characterizing CD137 upregulation on NK cells in patients receiving monoclonal antibody therapy.

Similar Datasets

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