Temozolomide and the PARP Inhibitor Niraparib Enhance Expression of Natural Killer Group 2D Ligand ULBP1 and Gamma-Delta T Cell Cytotoxicity in Glioblastoma.
Amber B JonesKaysaw TuyCyntanna C HawkinsColin H QuinnJoelle SaadSam E GaryElizabeth Ann BeierleLei DingKate M RochlinLawrence S LambAnita B HjelmelandPublished in: Cancers (2024)
Glioblastoma (GBM) is an immunologically cold tumor, but several immunotherapy-based strategies show promise, including the administration of ex vivo expanded and activated cytotoxic gamma delta T cells. Cytotoxicity is partially mediated through interactions with natural killer group 2D ligands (NKG2DL) on tumor cells. We sought to determine whether the addition of the blood-brain barrier penetrant PARP inhibitor niraparib to the standard of care DNA alkylator temozolomide (TMZ) could upregulate NKG2DL, thereby improving immune cell recognition. Changes in viability were consistent with prior publications as there was a growth inhibitory effect of the combination of TMZ and niraparib. However, decreases in viability did not always correlate with changes in NKG2DL mRNA. ULBP1 / Mult-1 mRNA was increased with the combination therapy in comparison to either drug alone in two of the three cell types tested, even though viability was consistently decreased. mRNA expression correlated with protein levels and ULBP1/MULT-1 cell surface protein was significantly increased with TMZ and niraparib treatment in four of the five cell types tested. Gamma delta T cell-mediated cytotoxicity at a 10:1 effector-to-target ratio was significantly increased upon pretreatment of cells derived from a GBM PDX with TMZ and niraparib in comparison to the control or either drug alone. Together, these data demonstrate that the combination of PARP inhibition, DNA alkylation, and gamma delta T cell therapy has the potential for the treatment of GBM.
Keyphrases
- cell therapy
- combination therapy
- nk cells
- dna damage
- binding protein
- dna repair
- cell surface
- single cell
- healthcare
- single molecule
- circulating tumor
- stem cells
- cell free
- induced apoptosis
- natural killer cells
- poor prognosis
- immune response
- small molecule
- big data
- mesenchymal stem cells
- protein protein
- emergency department
- bone marrow
- deep learning
- risk assessment
- electronic health record
- cell proliferation
- cell death
- health insurance
- long non coding rna
- circulating tumor cells
- machine learning
- cell cycle arrest
- endoplasmic reticulum stress
- signaling pathway