NSD1 mutation

Conclusions Our preliminary analysis implicates that although addition of sorafenib to the intensive chemotherapy of children and adolescence with FLT3-ITD positive AML, did not improve the survival outcomes in all patients; specific genetic subgroups might benefit from this treatment. These results must be validated in bigger cohorts of patients with longer follow-ups.

Importantly, KDM2A suppression decreased growth of NSD1-deficient tumors in immunocompetent, but not in immunodeficient, mice. Together, these data indicate that KDM2A is an immunotherapeutic target for overcoming immune exclusion in HNSCC.

Simulations with NSD2 revealed that H3K36me3 formation is possible due to an enlarged active site pocket of T1150A and loss of direct contacts of T1150 to critical residues which regulate the product specificity of NSD2. Bioinformatic analyses of published data suggested that the generation of H3K36me3 by NSD2 T1150A could alter gene regulation by antagonizing H3K27me3 finally leading to the upregulation of oncogenes.

Taken together, while this data supports the suggestion that NSD histone methyltransferases have multiple downstream targets, the underlying mechanism remain to be investigated in more detail. Further, NSD proteins are attractive targets for drug development for improving treatment strategies for HNSCC.

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.

The presence of NSD1 mutations only at recurrence may suggest that they can be sub-clonal, while the presence in both primary and recurrence implies that they can also represent early and stable events. Furthermore, their presence only in primary, but not in recurrent tumors, suggest that NSD1 mutations may also be influenced by treatment.

Inhibition of EZH2 restores immune infiltration and impairs the growth of Nsd1-mutant tumors. Thus, our work uncovers a druggable chromatin cross talk that regulates the viral mimicry response and enables immune evasion of DNA hypomethylated tumors.

Moreover, one patient, bearing the NSD1 variant c.6010-10G>A, expressed an additional shorter transcript derived from an aberrant splicing event. These results may provide a basis to elucidate the impact of different NSD1 pathogenic variants on the heterogeneity of phenotype associated with Sotos syndrome.

Downstream signaling, gene expression effects, and possible cell cycle regulation by NSD enzymes remain to be investigated in more detail. Further, NSDs might be attractive targets for drug development, and targeting NSD1/NSD2 enzymes may be a new strategy for improving outcomes in HNSCC patients.

Finally, we constructed a prognostic model of 6 sets of hypoxia-related genes (PGK1, JMJD6, S100A4, SLC2A3, DDIT4 and HK1) in OSCC. Hypoxia is closely related to immune cell infiltration, gene mutation, and prognosis in OSCC patients.

Furthermore, the site of onset, human papillomaviruses (HPV) status, and nuclear receptor binding SET domain protein 1 (NSD1) mutations were identified as the most important factors shaping TPSI levels. This study identified the infection risk of SARS-CoV-2 between tumor and normal tissues, and provided evidence for the risk stratification of HNSC.

In pediatric hematological malignancies, a recurrent chromosomal translocation forms a NUP98-NSD1 fusion with SET-dependent leukemogenic activity, which seems targetable by small molecule inhibitors. To treat or prevent diseases driven by aberrant NSD1 activity, future research will need to pinpoint the mechanistic correlation between the NSD1 gene dosage and/or mutational status with development, homeostasis, and malignant transformation.

Recent studies highlighted SOX2 and SOX9 as key determinants for cancer cell plasticity and demonstrated that cisplatin-induced adaptation in oral squamous cell carcinoma is acquired by an inverse regulation of both transcription factors...Finally, in silico drug screen analysis revealed numerous compounds targeting EGFR signaling with significantly lower efficacy for cancer cell lines with a higher risk phenotype, but also indicated potential vulnerabilities. Implications: The established risk model identifies patients with primary HNSCC, but also other cancers at a higher risk for treatment failure, who might benefit from a therapy targeting SOX2/SOX9-related gene regulatory and signaling networks.