NOTCH3 mutation

Mutations in genes, including MUC16, ATM, NOTCH3, KMT2A, and CTNNA1, were associated with the poor prognosis of advanced OCCC. The risk stratification according to these genes demonstrated acceptable prediction power of prognosis and platinum response, suggesting the potential to be a novel target for precision medicine.

This case study highlights the essential role of a stringent follow-up after resection of intrahepatic cholangiocarcinoma for detecting early relapsing tumors. Moreover, it shows the importance of the molecular characterization of multiple tumors for understanding their real nature. The accurate study of long-surviving patients highlights the features that are critical for outcome improvement.

SPINK5, a known tumor suppressor gene in HNSCC, was already downregulated in low-grade dysplastic lesions, indicating an early deactivation in the evolution of the disease. Genomic alterations as well as aberrant immune gene expression can be observed early in the evolution of tumors of the upper aerodigestive tract, highlighting the potential for targeting early mechanisms of disease progression.

Notably, the above-mentioned mutations and the elevated hypoxia score make the targeting of p53 and/or hypoxia related pathways a plausible personalized medicine option for this bladder cancer, particularly in combination with immunotherapy. Our data suggest a requirement for molecular profiling in bladder cancer to possibly select appropriate immune-checkpoint therapy.

Molecular analysis of CTCs is a challenge since CTCs are very rare in the blood and there are technical limitations in isolating CTCs with sufficient purity. In this study, we developed the process for NGS analysis on very low number of CTCs with high purity, isolated using CytoGen's Smart Biopsyâ„¢ system. Overall, these process could provide information for diagnosis and appropriate treatment of metastatic breast cancer along with the results of our ongoing clinical trials.

SPINK5, a known tumour suppressor gene in HNSCC, was already downregulated in low-grade dysplastic lesions, indicating an early deactivation in the evolution of the disease. Genomic alterations as well as aberrant immune gene expression can be observed early on in the evolution of tumours of the upper aerodigestive tract, highlighting the potential for targeting early mechanisms of disease progression.

In support, we also detected metabolic changes as potential drivers of leukemic cell survival. Our studies could shed light on T-cell/stroma crosstalk to human leukemic cells and propose our culture system to test pharmacological treatment for T-ALL.

Our findings reveal novel gene alterations involved in the progression of HGT in SCs. Most HGT SCs patients cannot benefit from PD-L1 blocking and may be approached with a distinct treatment strategy including the lymph node dissection and application of molecular target drugs in precision oncology.

The results presented in this study show the value and the challenge of a genomics-driven network trial. The data can be also a valuable resource as a validation cohort for Immunotherapy and Target therapy genomic biomarker research.

"cfDNA analysis may have a role to identify potential drivers of pathogenesis among cases that are unable to successfully undergo tissue molecular analysis. Further studies are underway to characterize other novel alterations that were discovered in the cfDNA analysis."

Arginine Vasopressin Deficiency (AVP-D) was diagnosed, and desmopressin was initiated...While it is effective in adults, its limited tolerance favors the use of cytarabine or cladribine. NCT02670707 is an ongoing trial comparing cytarabine monotherapy versus Vinblastine/Prednisone for frontline treatment. BRAF inhibitors are also being increasingly investigated. Prospective trials to optimize the duration of therapy (LCH-IV) and potential combination therapies are currently underway.

Furthermore, mutations in APC, DAXX, FANCA, LTK, MAP2K4, and NOTCH1 were associated with a poor prognosis (P < 0.05). This study provides an overview of genetic alterations in Chinese patients with CCA, which will provide novel potential biomarkers for the diagnosis of CCA and may guide targeted therapeutic strategies for Chinese patients with CCA.

For patients who received R-CHOP-like regimens, the multivariate COX proportional hazard modeling identified TP53, TNFAIP3, and SOCS1 mutations as independent risk factors of PFS (HR 6.76, 95% CI 1.81 to 25.18, p =0.004; HR 3.68, 95% CI 1.06 to 12.82, p =0.041; HR 5.07, 95% CI 1.81 to 21.73, p =0.029). Our study depicted genomic characterization of real-world Chinses FL patients and demonstrated TP53, TNFAIP3 and SOCS1 mutations can help identify high-risk patients.

Our data, together with previously reported abnormal karyotypes in angioleiomyomas, show the presence of two recurrent genetic pathways in this tumor type: The first is characterized by presence of the translocation t(4;5)(p12;q32), which generates a CARMN::TXK chimera. The second is recurrent rearrangement of Xq22 resulting in overexpression of IRS4.

The differential mutation genes of OBC and BCAx might be associated with their respective biological behaviors like invasiveness and prognosis. The differences in NOTCH pathway and enrichment analysis might cause the occult lesions in the OBC.

Skin primary glomus tumors show frequent mutations in NOTCH2 and NOTCH3 , including gene fusions and novel truncating mutations. The presence of occasional BRAF and PDGFRB alterations raise the possibility of targeted therapies in clinically-advanced cases of this tumor type.

The HER2 /EBV /MSS/TP53 /PD-L1 profile and hepatocellular carcinoma-related pathways may be significant in the malignant potential of GAED. In addition to anti-HER2 therapy, immune check-point inhibitors may be an effective treatment option for patients with GAED.

Survival analyses and correlation of clinical outcome with mutational profiles are still ongoing. Conclusions Our results suggest that a comprehensive genomic profile could help to predict clinical outcome of ES-SCLC patients treated with CT-IO.

Therefore, we found PDGFRB and NOTCH3 mutations to be detectable in a much wider variety of pericytic tumors than previously reported and confirmed myopericytomas, myofibromas, angioleiomyomas, and glomus tumors as members harboring PDGFRB or NOTCH3 mutations. Our results thus suggest that PDGFRB or NOTCH3 mutations are not useful for subclassifying members of the pericytic tumor family.

In addition, we identified several mutated genes associated with MSI-high phenotypes, including known mismatch repair genes (e.g., MSH3, POLD1, MLH1, and MSH6) and novel mutated genes (e.g., RNF43, ARID1A, ARID1B, NOTCH3, SMARCA4, KMT2C, and CREBBP), in endometrial cancer (n=32 genes), in colorectal cancer (n=29 genes) and in stomach cancer (n=18 genes), at a Bonferroni-corrected P < 0.05.Our study revealed large discrepancies in prevalence between MSI-high and TMB-high in many cancer types,, highlighting the need to consider distinct or combined biomarkers for immunotherapies. Our study also identified novel mutated genes associated with MSI-high cancers, providing additional insights into MSI-high carcinogenesis and candidate genetic biomarkers to screen patients for potential immunotherapy.

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.

FAAC is rare but associated with poor clinical outcome. Tissue acquisition is crucial for early diagnosis and therapy and should be performed in long-standing, non-healing, IBD-associated fistulas in particular. The immunophenotype of FAAC seems more similar to the rectal-type mucosa than the anal glands.

The observation that this missense mutation of NOTCH3 is associated with an increased response to treatment with gemcitabine in EHE can be used prospectively to assess NOTCH3 as potential biomarker for predicting therapy response to gemcitabine.

TP53 mutation and hepatocellular carcinoma-related pathway may play an important role in the poor prognosis of GAED, which belonging to chromosomally unstable subtype. In addition to anti-HER2 therapy, targeted-TRK and immunotherapy may be the efficient treatments for patients with GAED in the future.

In the analysis of clinical characteristics, hemoglobin concentration (HB) and MMR were independent factors for deep molecular response (DMR), and initial 2GTKI therapy was better than 1GTKI in the achievement of molecular response. For the scoring system, we found the ELTS score was the best for predicting the efficacy of TKI therapy and the Socal score was the best for predicting mutations other than BCR∷ABL.

Thus, this study identified several genes that may have utility as predictive biomarkers for therapeutic responses in patients receiving ICIs. As many have no known relationship to immunotherapy or ICIs, these genes warrant continued exploration, particularly for cancers in which established biomarkers such as PD-L1 expression or TMB have little predictive value.

Conclusion Cell line TCS627 appears representative of its original primary tumor and of SNTCS in general, although further studies are needed. This is the first SNTCS cell line established to date, constituting a suitable model for studying cellular and molecular mechanisms involved in the tumorigenesis and behavior of this type of tumors as well as a tool for testing new therapeutic approaches for SNTCS.

As well as, lower expression of MLH1, MSH2, MSH6, PMS2, EPCAM and MUTYH genes were recognized in LS patients and future CRC Saudi patients. These gene mutations may be used as diagnostic and/or prognostic genetic markers in CRC Saudi patients and could offer a potential therapeutic target for CRC management.

Chloroquine treatment strongly reduces the amount of secreted NOTCH3 extracellular domain and decreases signaling...Collectively, our data define a NOTCH3-PDGFRB axis in IMF, where an IMF-mutated NOTCH3 receptor elevates PDGFRB expression. The functional characterization of a ligand-independent gain-of-function NOTCH3 mutation is important for Notch therapy considerations for IMF, including strategies aimed at altering lysosome function.

ctDNA is strongly associated with the prognosis of SCLC patients treated with second-line immunotherapy. Its analysis seems justified for future SCLC clinical trials.

Darker blue identifies a missense mutation, light blue corresponds to a frameshift deletion, pink color matches frameshift insertions, orange represent in frame deletions, whereas red in frame insertions. Light green identifies nonsense mutations and dark green stands for different types of mutation affecting that gene in that sample.

Our data strongly support the notion that molecular drivers of breast cancer could differ in HL women compared with other ethnic backgrounds. Therefore, a deeper understanding of the biological mechanisms behind NOTCH gene and PIK3CA mutations may lead to a new treatment approach.

The present study improves the understanding of the biological processes and pathways involved in lymphomagenesis. The driver genes, EIF3B, MLH1, PPP1CA, RECQL4, XPO1 and LYN, pave the way for developing prognostic biomarkers and new therapeutic strategies for DLBCL.

Our exome sequencing study identified recurrent mutations in PTPRS, NOTCH3, FGFR1/3 as novel recurrent mutational features in MTC. Notably, some of them were detected in RET wildtype patients, suggesting a possible functional role of the genes in carcinogenesis. The functional studies to further define the roles of these gene mutations in MTC are ongoing.

In our population of patients with PTC, we identified IRS2 as a novel recurrently mutated gene in PTC that may associate with a less aggressive disease phenotype and NOTCH3 mutations associated with more aggressive disease. Functional studies to further define the roles of these genes are ongoing.

As anticipated, similar response signatures were seen between eltanexor and selinexor. Follow-up studies to further understand the biologic significance of altered protein activities and validate the mutations putatively associated with response in larger sample sets will be conducted.