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Dataset Information

Predictive biomarkers for the responsiveness of recurrent glioblastomas to activated killer cell immunotherapy.


ABSTRACT:

Background

Recurrent glioblastoma multiforme (GBM) is a highly aggressive primary malignant brain tumor that is resistant to existing treatments. Recently, we reported that activated autologous natural killer (NK) cell therapeutics induced a marked increase in survival of some patients with recurrent GBM.

Methods

To identify biomarkers that predict responsiveness to NK cell therapeutics, we examined immune profiles in tumor tissues using NanoString nCounter analysis and compared the profiles between 5 responders and 7 non-responders. Through a three-step data analysis, we identified three candidate biomarkers (TNFRSF18, TNFSF4, and IL12RB2) and performed validation with qRT-PCR. We also performed immunohistochemistry and a NK cell migration assay to assess the function of th

SUBMITTER: Hwang S 

PROVIDER: S-EPMC9875464 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature