PTEN mutant NSCLC require ATM to suppress pro-apoptotic signalling and evade radiotherapy
Fischer, T.; Hartmann, O.; Reissland, M.; Prieto-Garcia, C.; Klann, K.; Schuelein-Voelk, C.; Polat, B.; Gebhard-Hartmann, E.; Rosenfeldt, M.; Muench, C.; Flentje, M.; Diefenbacher, M. E.
Show abstract
BackgroundDespite advances in treatment of patients with non-small cell lung cancer, carriers of certain genetic alterations are prone to failure. One such factor frequently mutated, is the tumor suppressor PTEN. These tumors are supposed to be more resistant to radiation, chemo- and immunotherapy. MethodsUsing CRISPR genome editing, we deleted PTEN in a human tracheal stem cell-like cell line as well generated primary murine NSCLC, proficient or deficient for Pten, in vivo. These models were used to verify the impact of PTEN loss in vitro and in vivo by immunohistochemical staining, western blot and RNA-Sequencing. Radiation sensitivity was assessed by colony formation and growth assays. To elucidate putative treatment options, identified via the molecular characterisation, PTEN pro- and deficient cells were treated with PI3K/mTOR/DNA-PK-inhibitor PI-103 or the ATM-inhibitors KU-60019 und AZD 1390. Changes in radiation sensitivity were assessed by colony-formation assay, FACS, western-blot, phospho-proteomic mass spectrometry and ex vivo lung slice cultures. ResultsWe demonstrate that loss of PTEN led to altered expression of transcriptional programs which directly regulate therapy resistance, resulting in establishment of radiation resistance. While PTEN-deficient tumor cells were not dependent on DNA-PK for IR resistance nor activated ATR during IR, they showed a significant dependence for the DNA damage kinase ATM. Pharmacologic inhibition of ATM, via KU-60019 and AZD1390 at non-toxic doses, restored and even synergized with IR in PTEN-deficient human and murine NSCLC cells as well in a multicellular organotypic ex vivo tumor model. ConclusionPTEN tumors are addicted to ATM to detect and repair radiation induced DNA damage. This creates an exploitable bottleneck. At least in cellulo and ex vivo we show that low concentration of ATM inhibitor is able to synergise with IR to treat PTEN-deficient tumors in genetically well-defined IR resistant lung cancer models.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- DNA damage and somatic mutations in mammalian cells after irradiation with a nail polish dryer 96%
- Priming versus propagating: distinct immune effects of an alpha- versus beta-particle emitting radiopharmaceutical when combined with immune checkpoint inhibition 96%
- Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance 95%
Similar papers in this journal
- GABA(A) receptor activation drives GABARAP-Nix mediated autophagy to radiation-sensitize primary and brain-metastatic lung adenocarcinoma tumors 96%
- Timing anti-PD-L1 checkpoint blockade immunotherapy to enhance tumor irradiation 96%
- Paradoxical role of AT-rich interactive domain 1A in restraining pancreatic carcinogenesis 92%
Similar papers in this journal
- CIP2A interacts with TopBP1 and is selectively essential for DNA damage-induced basal-like breast cancer tumorigenesis 95%
- C5aR1 inhibition alleviates cranial radiation-induced cognitive decline 94%
- EZH2 synergizes with BRD4-NUT to drive NUT carcinoma growth through silencing of key tumor suppressor genes 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.