PIK3CG mutation

In vitro experiments, Orlistat combined with BPI-7711 had reduced IC50 (508.08nM) in comparison with BPI-7711 alone (1328nM)...Meanwhile, fatty acids downregulated FASN and upregulated CPT1A expression, which may reduce the de nove synthesis of fatty acids and influence fatty acid oxidation. Conclusions This study revealed the metabolic landscape of advanced T790M-mutant NSCLC patients, providing the potential guide of personalized third-generation EGFR-TKI treatment and therapeutic target for overcoming resistance.

Lastly, our results from in vivo studies indicate that aspirin can reverse osimertinib resistance caused by PIK3CG or PIK3CA mutations in both CDX and PDX models. Herein, we first confirmed that mutations in PIK3CG can lead to resistance to osimertinib, and the combined therapy may be a strategy to reverse PIK3CG/PIK3CA mutation-induced osimertinib resistance.

PI3K/mTOR dual inhibition, PI3Kalpha inhibitor, AKT inhibitor, FGFR inhibitor, ALK/IGF1R inhibitor, CDK4/6 inhibitor, BCl2 inhibitor, WEE1 inhibitor, ATR inhibitor, DNA-PK inhibitor, AT2AR inhibitor, Mcl-1 inhibitor, MEK1/2 inhibitor, EZH2 inhibitor, HDAC inhibitor, CDK9 inhibitor, DNMT3 inhibitor, BRD4/BET inhibitor, JAK2 inhibitor, CXCR4 inhibitor, FAK inhibitor, BTK inhibitor, eribulin, & VEGFR2/ PDGFR/FGFR or VEGFR2/c-MET/Axl triple blockage might be effective on TW2.6 and reverse treatment refractoriness, maybe through the inhibition of mesenchymal transformation, pRB, & PI3K/AKT /mTOR signaling and the modulation of stemness & PD1/PDL1 pathway...All cell lines will be tried to be categorized as TCGA subtypes for the reference of future drug combinations.Cell linesSCC25KBSASCAL27FaDuSCC15SCC9SCC4TW2.6Differ- entiationWellPoorPoorPoorPoorWellWellWellWell, but rapidly replicated, with high hyper-diploidy & complex rearrangementsHPV statusHPV 16/18HPV18--HPV 16/18--HPV 6/11-EGFR statusMediumLowHighHighMediumHighLowMedium to highUnknownDocetaxel sensitivity+++++++++++++ to +++++-+Cisplatin sensitivity+++++++++++++- to +-- to +5-FU sensitivity+++++++++++-+ to ++-- to +Afatinib sensitivity+++- to +-+++++ to +++++++++-Polo-like kinase Inhibitor sensitivity+++++++++++++ to +++- to +-- to +VEGFR2 Inhibitor sensitivity----+++++--++PI3K/ mTOR inhibitorAll cell lines sensitiveCDK4/6 Inhibitor response+++- to ++++++ to +++++++++++++ to +++Western blotsWeak p-AKT & VEGF-A, mild PDL1 and BMI-1, Gli-1(+)Weak p-AKT, mild PDL1 and strong VEGF-A & BMI-1, p16(+)Moderate p-AKT & BMI-1, high PDL1, mild VEGF-AHigh p-AKT & VEGF-A, mild PDL1 & BMI-1High VEGF-A, moderate p-AKT & PDL1, weak BMI-1, Gli-1(+)Weak p-AKT & VEGF-A, mild PDL1 & BMI-1Weak p-AKT, VEGF-A, & BMI-1, moderate PDL1Moderate p-AKT & VEGF-A, strong BMI-1, mild PDL1, Gli-1(+)High p-AKT, PDL1, & VEGF-A and moderate BMI-1NGSCCND1 gain, CDKN2A deletion, FRG1 mutation, HGF mutation, p53 mutation, ATR mutation, SMO mutation, RUNX1T1 mutationSTK11 mutation, PDGFRA mutation, IGF1 mutation, BCOR mutation, EGFR mutation, NOTCH1 mutation, MET mutation, IKZF1 mutation, NFKB1 mutation, DPYD mutation, FGFR4 mutation, BRCA1 mutation, MSH2 mutation, DNMT3A mutationKRAS mutation, MDM2 mutation, TMB-H, AXIN1 loss, RAD51D mutation, NOTCH1/2 mutation, ERBB4 mutation, PALB2 mutation, p53 mutation, POLE mutation, CASP8 mutation, BRCA2 mutation, RNF43 mutation, LRP1B mutation, MET mutationCDKN2A deletion, EGFR amplification, SMAD4 mutation, TMB-H, LRP1B mutation, APC mutation, CASP8 mutation, CREBBP mutation, PIK3CG mutation, NRAS mutation, ABL1 mutation, FGF23 mutation, HGF mutation, ATRX mutation, p53 mutation, ERBB2 mutation, ROS1 mutation, EP300 mutation, NRAS mutation, CDKN1A mutation, KDM6A mutation, FLT4 mutationCCND1 gain, CDKN2A deletion, FLCN mutation, TMB-H, LRP1B mutation, SMAD4 loss, SF3B1 mutation, FAT1 mutation, VHL mutation, NOTCH3 mutation, EPHA5 mutation, p53 mutation, ERCC2 mutationCCND1 gain, EGFR amplification, SMO mutation, ATR mutation, FAT1 loss, NTRK1 mutation, KMT2D mutation, p53 mutation, NOTCH3 mutationCDKN2A deletion, AXIN2 amplification, SMAD3 loss, HRAS mutation, ATR mutation, NF1 mutation. IGF1R mutation, FLCN mutation, KEAP1 mutation, ASXL1 mutation, PMS2 mutationCCND1 gain, NF1 loss, LRP1B mutation, NSD1 mutation, KMT2D mutation, p53 mutation, EPHA2 mutationFAT1 loss, CCND3/FGF10 amplification, PIK3CA H1047R mutation, STK11 mutation, RICTOR/FLCN amplification, VEGF-A amplification , TSC2 mutation, EPHB1 mutation, MAP2K4 mutation, KDM5A mutation, PDGFRB mutation, SETD2 mutation, RPTOR mutation, APC mutation, DDR2 mutation, ATM mutation, MDM2 mutation, p53 mutation, CDK12 mutation, HRAS mutation, MYC mutation, CDK8 mutation, ARID1B lossOutcomesBest; like TCGA CL (HPV+) subtypeLike TCGA basal subtype, but responded to particular treatments eachBasalBasalLike TCGA mesen-chymal subtype (HPV+)Like TCGA CL(HPV-) subtype, different characters between these 3 cell linesCL(HPV-) subtypeCL(HPV-) subtypeWorse; like TCGA EMT subtype (HPV-)Potential treatmentsAll sensitive maybe; Hedgehog inhibitor , HGF/c-MET inhibitor, and I/O could be tried(1) Taxane, cisplatin, PLKi (2) mTORi (3) IGF1Ri, METi, PDGFRi, FGFRi (4) Epigenetics (5) I/O(1) Taxane, cisplatin, 5-FU, PLKi (2) CDK4/6i (3) I/O (4) DDRi (5) KRASi, METi, HERi (6) p53 reactivator and MDM2/Mcl-1 inhibitor(1) Taxane, cisplatin, 5-FU, PLKi (2) CDK4/6i (3) Mild EGFRi response (4) I/O (5) NRASi, FGFRi, HGF/c-METi/ROS1i/HERi (6) p53 reactivator/DDRi/Epigenetics(1) Cisplatin, 5-FU (2) EGFRi and VEGFR2i (3) Weak to PLKi & CDK4/6i (4) I/O (5) mTORi (6) Ephi (7) DDR/Epigenetics (8) p53 reactivator (9) HIFi(1) Taxane and PLKi (2) EGFRi, VEGFR2i, CDK4/6i (3) NTRKi (4) Hedgehog inhibitor (5) DDRi, epigenetics,& p53 reactivator(1) Taxane &5-FU (2) EGFRi (3) HRASi (4) DDRi/Epigenetics (5) I/O (6) IGF1Ri (7) mTORi(1) EGFRi (2) CDK4/6i (3) I/O (4) Epigenetics (5) Ephi (6) p53 reactivator(1) CDK4/6 inhibitor (2) Multi-targeted VEGFR TKI (3) PI3K/AKT/mTOR inhibitor (4) ICIs combination (5) p53 reactivator/ DDR interventions/Epigenetics (6) Dasatinib, HRASi, EphB1/B4 interventions Further NGS analysis may translate these HNSCC cell lines to represent TCGA subtypes for the reference of future drug combinations, esp... Further NGS analysis may translate these HNSCC cell lines to represent TCGA subtypes for the reference of future drug combinations, esp. immunotherapy, basic/translational research, and animal models. LRP1B will be a potential ICIs efficacy biomarker in HNSCC.

PNETs arising from GCT are molecularly heterogeneous; however, a subset may be stratified by alterations in 1) MYCN/MYC/TP53/MDM2, 2) PIK3 pathways or 3) fusions that overlap with molecularly defined CNS-PNETs entities. Additional studies examining the prognostic and therapeutic implications of our findings are warranted.