BCOR mutation

Molecular genetic information plays a crucial role in diagnosing AML-MR, highlighting the importance of genetics in diagnosis and prognosis. Most AML-MR patients fall into poor prognosis categories, necessitating early intensive and targeted therapy for better survival outcomes.

In patients with at least one mutation in BCOR, NF1, TP53, KRAS, HRAS, or CTNNB1, later age of onset is associated with poorer prognosis. In patients with mutations only in tumor suppressor genes BCOR or NF1, later age of onset is associated with poorer prognosis.

Contrary to previous studies, our representative pediatric GC study provides evidence that GC has a strong predilection to arise on the background of specific molecular features (especially pedHGG_RTK2, pedHGG_A/B, EGFR and BCOR mutations, chromosome 6 rearrangements).

P1, N=32, Recruiting, OHSU Knight Cancer Institute | Trial completion date: Aug 2024 --> Feb 2026 | Trial primary completion date: Feb 2024 --> Aug 2025

Curiously, although modestly varying among AML samples, a high AKT1 expression shows in contrast as a strong predictor of a better patient outcome. These data suggest that AKT3 and AKT1 expressions have strong, yet opposite, prognostic values.

Our findings demonstrate that mutations in JAK3 and STAT5B of the JAK/STAT pathway and inactivation of the oncogene SETD2 markedly contribute to the lymphomagenesis of MEITL.

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However, RUNX1 co-mutation was associated with an increased risk of post-alloSCT relapse (HR 88.0, P = 0.02), whereas melphalan-based conditioning was associated with a decreased relapse-risk (HR 0.02, P = 0.01). We conclude that mBCOR is a high-risk feature across MDS/AML and that alloSCT improves survival in this population.

The ependymoma-like aspect coupled with the lack of diffuse GFAP immunostaining and the presence of OLIG2 positivity are useful clues for recognizing these tumors in histopathological practice. The diagnosis should be confirmed after testing for BCOR(L1) gene fusions and BCOR ITD.

For all patients in our cohort, age > 60 years, KITD816 mutations and BCOR mutations were showed to be independent unfavorable predictors for OS and EFS. Our results revealed that SM-t(8;21) AML shared more similar clinical characteristics, molecular features and clinical outcomes with KITD816 t(8;21) AML.

Furthermore, patients with BCORMT, ASXL1MT, and concomitant DNA methylation-related gene mutations had worse outcomes compared to those with concomitant spliceosome mutation and BCORWT. Our findings suggest that co-mutational patterns of BCOR may further clarify diagnosis and classification schemes, highlighting potential synergies among subcategories of gene mutations and their prognostic value.

PTPN11 and NRAS were the most frequent mutations and RTK-RAS signaling pathway was the most involved pathway in rare AML patients with t(16; 21)(p11; q22)/ FUS: : ERG. The addition of signaling pathway inhibitors followed by HSCT might be an effective strategy to overcome the dismal outcome of this subtype. Larger cohort studies are warranted to investigate the molecular characteristics further as well as evaluate the clinical activity of the SHP2 (PTPN11) inhibitors in FUS: : ERG AML patients.

Monitoring changes in somatic mutations and clinical manifestations prospectively may reveal mechanisms for malignant progression and inform clinical management. ClinicalTrials.gov identifier: NCT03854318.

Our results suggest that the bcl6 corepressor inactivating mutations exert pro-carcinogenic effects through survival strike, which is only an intermediate process. These findings provide mechanistic insights into the role of the bcl6 corepressor gene in myelodysplastic syndrome.

Germline mutation in RUNX1 should be considered in pediatric patients with thrombocytopenia and/or abnormal platelet function and a hypocellular marrow with or without dysmegakaryopoiesis. Dysmegakaryopoiesis in the setting of RUNX1-FPDMM should not be overinterpreted as pediatric MDS without other supporting criteria such as MDS-defining cytogenetic/molecular abnormalities, multilineage dysplasia, or increased blasts. Patients with large deletions in RUNX1 may be missed on routine NGS testing hence proper germline testing in an experienced laboratory is recommended if suspicion is high.

1) Extensive genetic profiling indicated a substantial clonal evolution in the progression from CP to BP CML including loss of ASXL1 mutations, expansion of RUNX1 mutated clones, multiple CNA, and the frequent acquisition of a BCR rearrangement in BP with a transcriptomic phenotype resembling B-ALL. 2) A subset of CML cases in CP already showed a transcriptomic phenotype resembling acute leukemia indicating a rapid progression to BP. 3) The presence of a RUNX1 mutated subclone or a clonal BCR rearrangement seem to represent a warning signal in CML CP.

However, it is unknown whether cytarabine + anthracycline (7+3), liposomal cytarabine and daunorubicin (CPX-351) or hypomethylating agent + venetoclax (HMA+VEN) is the optimal frontline treatment for these patients (pts)...The effect of co-mutations on response and OS differed between treatment modalities and may aid in optimal treatment selection in this population. Prospective trials should evaluate the potential superiority of HMA+VEN and effect of co-mutations in secondary ontogeny AML.

This real-world analysis identifies presence of extramedullary disease and HMA pretreatment as predictors of inferior survival. Further, our data suggest a novel prognostic risk classification based on the mutational status of nine genes with significant OS, EFS and ORR distinction.

This series represents the largest cohort of multi-omic characterization of ESS. Our data confirmed the characteristic presence of JAZF1:SUZ12 fusions in LG-ESS. However, this fusion was also found in HG-ESS cases with retention of ER and PR expression.

After analyzing demographic and genetic features, complementary genetic analyses, including KMT2A-PTD, were suggested for accurate IPSS-M categorization of patients with ASXL1, TET2, STAG2, RUNX1, SF3B1, SRSF2, DNMT3A, U2AF1, and BCOR mutations and those classified as MDS, not otherwise specified with single lineage dysplasia/multi-lineage dysplasia based on the 2022 ICC. This study confirmed that the IPSS-M can better risk-stratified MDS patients for optimized therapeutic decision-making.

JAK3 mutations, BCOR mutations, and PD-L1-negative expression were associated with poor prognosis of ENKTCL. Patients with PD-L1 expression < 50% were more likely to have BCOR mutations and JAK3 mutations than those with PD-L1 expression ≥50%.

Based on the analysis of immune cell infiltration status, the mechanism of the predictive value of BCOR mutation to ICIs efficacy may be related to the greater abundance of activated CD4 memory T cell, CD8 T cell, follicular helper T cell and Macropghages M1, and lower abundance of Monocytes and CD4 memory resting cells in BCOR-mutant tumors. Conclusions Survival analysis of MSKCC shows BCOR mutation is an independent predictor of ICIs treatment in GC, rather than a prognostic factor, and may be associated with better immune cell infiltration.

In this review, I will focus on the clonal hematopoiesis (CH) in AA and discuss its clinical significance, including its impact on disease boundaries and transition. I will also discuss the pathophysiology and diagnosis of hypoplastic MDS, a type of MDS that responds to ISTs.

VEN was combined with either azacitidine, decitabine or LDAC. This real-world analysis comprising a large cohort of R/R AML pts treated with VEN-based non-intensive therapies identifies the presence of extramedullary disease and HMA pretreatment as clinical predictors of inferior survival. Further, our data suggest a novel prognostic risk classification based on the mutational status of nine genes with significant OS, EFS and ORR distinction. The genetic R/R AML VEN risk score requires independent validation.

IPSS-M improved prognostic discrimination and optimized treatments for patients with 2022 ICC-defined MDS. Patients with high, or very high-risk IPSS-M might benefit from HSCT. In addition to 2022 ICC and other parameters, IPSS-M also provided independent prognostication.

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.

While the exact mechanisms responsible for the ectopic ACTH secretion are beyond the scope of this study, overexpressed fusion proteins might be involved in promoter-mediated overexpression of pre-ACTH precursors in analogy to the mechanisms postulated for EWSR1::CREB1-mediated paraneoplastic phenomena in certain mesenchymal neoplasms. The genetic background of the ACTH-producing non-pancreatic NENs remains to be further studied.

Our findings provide novel insight into detrimental mutations in AML in a rural, underrepresented population. We discovered several novel mutations and higher frequency of some known driver mutations, which will help us identify therapeutic targets to improve patient outcomes.

This case poses multiple challenges for diagnosis and treatment. First, it is the insulin hypersecretion, most probably of pancreatic origin, with negative conventional anatomical imaging (US, CT, MRI), which requires multiple investigations for diagnosis. Second, it is the high clinical suspicion for MEN 1 syndrome, with no genetic mutation confirmation.

Introduction Progressive disease (PD) is driven by clonal evolution in patients with chronic lymphocytic leukemia (CLL) treated with the Bruton tyrosine kinase inhibitor (BTKi) ibrutinib. Acquired mutations in NOTCH1, ZNF292, and BIRC3 were detected in PD patients without BTK or PLCG2 mutations. Longitudinal mutation profiling could deepen understanding of acalabrutinib resistance mechanisms in CLL.

Subsequently, he received two cycles of high dose cytarabine plus midostaurin consolidation followed by AHSCT and remains disease-free ten months following diagnosis. Second-line therapy following failure of CPX-351 was pursued in 6 patients and included venetoclax plus HMA (n=4), FLAG-IDA (n=1), and enasidenib (n=1)...Notably, two patients attained CR with ivosidenib (Patient #3) and decitabine plus venetoclax (Patient #8), respectively, after failure of second line and subsequent therapies, and also proceeded to AHSCT Survival At a median follow-up of 9.5 months (range; 0.2-32 months), seven patients have died from disease progression (n=5) and sepsis (n=2)... The current study demonstrates limited therapeutic activity of CPX-351 in newly diagnosed MPN-BP with CR rate of 20% in comparison to 47.7%, in secondary (post-MDS and therapy-related) AML (NCT01696084) (JCO, 2018). Furthermore, the value of AHSCT for long-term survival in patients with MPN-BP is underscored.

Re-classification according to ELN 2022 showed shifting from favorable to a worse category in the 10% of AML patients <60 years of age, who could have been eligible to a more intensive treatment. Furthermore, the implementation of the AML screening gene panel through NGS analysis allows to identify molecular abnormalities, such as IDH1/IDH2 mutations, susceptibles of target therapies.

Conclusion We provide evidences that VAF is critical for risk stratification in MDS patients and should be considered in novel scoring systems. Our data fostered our understanding of the mutation burden of the diseases and provided future patient-tailored therapeutic avenues.