MDM2 mutation

P1, N=35, Active, not recruiting, M.D. Anderson Cancer Center | Phase classification: P1b --> P1

The GCTs are remarkably sensitive to cisplatin-based combination chemotherapy; however, resistance to cisplatin develops in up to 8% of tumors and appears to be driven by TP53/MDM2 gene mutations...The mechanisms underlying the development of most tumors have been elucidated; however, additional studies are required to pinpoint the events directing specific characteristics. Advances in identifying specific molecular markers have been seen recently and may be adopted as gold standards in the future.

Other approaches are taking advantage of the progress made in immune-based therapies for cancer. In this Review, we present these ongoing clinical trials and emerging approaches to re-evaluate the current state of knowledge of p53-based therapies for cancer.

Our targeted analysis of MDM2 in a well-characterized cohort of GC patients showed that MDM2 amplification is rare, of no specific histological phenotype, and may not be always mutually exclusive with TP53 mutations. Given the low number of cases, currently, no diagnostic or therapeutic recommendation related to MDM2 amplification can be given for GC of Western origin.

Additionally, NTX-301 treatment increased caspase-8 and cleaved-caspase-8 in AML cells independent of TP53 mutation status, consistence with reports showing caspase-8 hypermethylation in AML and supporting that activation of caspase-8-mediated extrinsic apoptosis as a mechanism of NTX-301 action. In conclusion, our data suggest that NTX-301 has more potent anti-leukemia activities compared to current HMA in clinic and synergizes with venetoclax in venetoclax-resistance and TP53-mutant AML and AML stem/progenitor cells, and warrants clinical evaluation

The most common 1L treatment was doxorubicin (doxo) with olaratumab (23.5%), followed by gemcitabine and cisplatin (15.7%)...In 2L, eribulin was the most common (21.9%), followed by gemcitabine (15.6%)... Patient demographics are consistent with a 2012 report on 208 patients from 11 institutions (10 European members of the Connective Tissue Cancers Network of Excellence and Memorial Sloan Kettering Cancer Center [New York, NY]); however, median OS observed is lower than the reported 15.2 months. For those receiving 1L doxo monotherapy or in combination, rwPFS was comparable to this report and to a 2017 report on 51 patients at MD Anderson Cancer Center (Houston, TX). These results may highlight an awareness gap between academic centers and community practices for treating DDLPS.

Our single-center experience shows an increasing uptake of next-generation sequencing (NGS) and highlights current challenges of implementing precision oncology in the management of patients with BS/STS. A relevant number of patients were diagnosed with clinically actionable alterations. Our results highlight the potential benefit of NGS in patients with rare cancers and currently limited therapeutic options.

We conclude that ROS1 likely acts as a driver in infant and pediatric gliomas and as a driver or co-driver in adult gliomas. Integrated comprehensive clinical testing might be helpful in identifying such patients for possible targeted therapy.

66 patients (33.7%) were eligible to early-phase trials according to the molecular tumor board and 10 patients (5.1%) were effectively enrolled, with a range of time to progression between 22 days and 11 months. Conclusions Although actionable mutations are more prevalent in the KRASwt group, 16.3% of KRASm patients harbored ESCAT alterations, underlying the need for molecular profiling regardless of KRAS status.

Primary endpoint for Phase 3 is progression-free survival by blinded independent review. Results NAConclusion NA

PD-L1 high expression was similar between the 2 groups (mutated vs wild-type: 5.7% vs 6%,). GA associated with immune checkpoint inhibitors (ICPIs) response including PBRM1 (mutated vs wild-type: 0.7% vs 3.2%, p <0.0001) and MDM2 (mutated vs wild-type: 1.3% vs 4.4%, p <0.0001) were more likely to be seen in KRAS wild-type PDA.

The first systematic pan-cancer analysis of MDM2 was conducted, and it demonstrated that MDM2 was a reliable prognostic biomarker and was closely related to cancer immunity, providing a potential immunotherapeutic target for breast cancer, bladder cancer and ovarian cancer.

Background: Cisplatin resistance occurs in up to 30% of patients with advanced germ cell tumors (GCTs)... This study provides evidence that chemo naïve GCTs with mutations in TP53, KRAS, KIT or MDM2 CNA have higher expression of genes associated with resistance to platinum-based chemotherapy. These findings contribute to a better understanding of the molecular characteristics of GCTs and may inform prognosis and treatment.

Our once informatics-based designed pipeline has indicated that the MDM2 gene may have been a predictive biomarker for LGG cancer and selected phytochemicals possessed outstanding interaction results within the macromolecular target's active site after utilizing in silico approaches. In vitro and in vivo experiments are recommended to confirm these outcomes.

The development of p53-based therapies has rapidly progressed in recent years, and include unique small molecule chemical inhibitors, stapled peptides, PROTACs, as well as several genetic-based approaches using vectors and engineered antibodies. In this review, we highlight the therapeutic strategies that are in pre-clinical and clinical development to overcome p53 inactivation in both wild-type and mutant p53-bearing breast tumors, and discuss their efficacies and limitations in pre-clinical and clinical settings.

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.

Our data suggest that BDOs can be established with minimal invasiveness from almost all patients with biliary cancers, including inoperable cases. Thus, despite some limitations with respect to the characterization of BDOs and methods for the enrichment of cancer cell-derived organoids, our data suggest that BDOs have potential applications in personalized medicine.

Investigations showed activation and a required role for TAp73 to mediate MDM2-PROTAC-induced apoptosis. Our data, challenging the current MDM2/p53 paradigm, show MDM2 is required for p53-inactivated TNBC cell survival, and PROTAC-targeted MDM2 degradation is an innovative potential therapeutic strategy for TNBC and superior to existing MDM2 inhibitors.

We demonstrate the utility of c/qRT-PCR and FISH for sarcoma diagnosis and that each has advantages in specific contexts. We conclude that it is possible to accurately predict the sarcoma subtype using a panel of different subtype-specific FISH probes and c/qRT-PCR assays, thereby greatly facilitating the differential diagnosis of these tumours.

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.

A total of 10.53% of HAS patients harbored TMB > 10 muts/Mb. These findings improve our understanding of the genomic features of HAS and provide potential therapeutic targets.

In conclusion, activation of hepatocyte p53 creates a microenvironment prone to tumor formation from HPCs. Optimization of p53 activity in hepatocytes is important to prevent CLD patients from hepatocarcinogenesis.

These hotspot mutations are enriched at UV mutational signatures disrupting amino acid signals for binding SH-3-containing proteins important for p53 function. Among the protein-protein interaction sites identified by hotspot mutations were MDM-2, a negative regulator of p53, XAF-1, promoting p53 mediated apoptosis, and PIN-1, a proline isomerase essential for structural folding of this domain.

Analysis of immune cell infiltration revealed that almost all of these immune cells we detected were less infiltrated into tumor tissue of patients with MDM2/4 mutation than without MDM2/4 mutation. What’s more, the most significant difference between patients with and without MDM2/4 alteration was infiltration of CD56dim NK cells (p<0.001).Conclusion The poor response to ICI monotherapy may associated with the high proportion of alteration in gene MDM2/4, which was characterized by low infiltration of immune cells, especially effective NK cells.

The ctDNA display a high consistency with tumor tissue for HER2 status. Compared to chemo-free regimens, chemo-containing regimens trend to demonstrate improved PFS and ORR in HER2-postive GC/GEJ, though no statistically significant. The HER2 amplification and immune-related negative gene alterations in ctDNA might be used as alternative biomarkers for predicting the efficacy of combining therapeutics containing trastuzumab and anti-PD-1 agents.

P1, N=6, Not yet recruiting, SynerGene Therapeutics, Inc. | Trial completion date: Dec 2023 --> Dec 2024 | Trial primary completion date: Dec 2022 --> Dec 2023

In this study, we investigated the comprehensive genomic characterizations of CCA patients, identified the significant alterations in each subtype, and identified potential biomarkers for prognosis prediction. These results provide molecular evidence for the heterogeneity of CCA subtypes and evidence for further precision targeted therapy of CCA patients.

Also, we describe an in vitro test allowing to predict the emergence of TP53 mutated clones. Altogether, this is the first demonstration that a drug treatment can directly favor the emergence of TP53-mutated subclones in MPN.

Initial results from this study suggest that navtemadlin + decitabine enhanced apoptosis and p53 signaling pathways to a greater degree than either single agent in AML cell lines. Combination treatment also induced several unique DNA damage response, ECM-remodeling, and TME-related pathways. Activation of both proapoptotic and tumor-stromal interaction pathways suggest a unique mechanism of navtemadlin + decitabine for inhibiting AML cell growth.

TERT promoter, EGFR, PTEN, TP53, PDGFRA, CDK4 and MDM2 gene mutations are common molecular genetic changes in adult IDH-wt gliomas, and are associated with poor prognosis. It is suggested that these genes are potentially useful for predicting the prognosis and should be tested in adult IDH-wt gliomas.

Additional biomarkers beyond PD-L1 that have been shown to have predictive capacity include tumor mutational burden, microsatellite instability, lung immune prognostic index, gut microbiome, and certain alterations in genes (eg, STK11 deletion, LKB1 kinase mutation, MDM2/4 amplification) that confer immunoresistance. The biomarkers reviewed in this article could help us better select the appropriate immunotherapy treatment for patients with NSCLC.

This study suggests that a small subset of most tumor types have about 8% immunotherapy hyperprogression related genes mutations.

The samples were analyzed by NGS with the OncoDEEP (OncoDNA) panel covering 313 genes.ResultsOnly one of the cases was not evaluable due to the low cellularity of the tumor block. Of the 12 evaluable cases, molecular alterations were identified in 6 of them, as detailed below: in case number 1 (lung cancer) variant of TP53 cDNA c.595G> T-AA p. G199, in case number 2 (lung cancer) mutation in TP53 cDNA c.488a> G-AAp.Y163C and mutation in FANCA cDNA: c.3263C> T-AA: p.S1088F, in case number 3 (lung cancer) variant de TP53 c.DNA: c.455del-Aap.P152Rfs * 18, alteration in MRE11A cDNA: c.1688C> G-AA: p.S563 * and alteration KEAP1 cDNAc.224dup-Aap.L76Afs * 3, in case number 4 (lung cancer) AKT amplification and alteration in BRCA2 cDNA c.2701del-Aap.A902Lfs * 2, in case number 5 (lung cancer) mutation in PI3KCA E545 K, amplification in MDM2 and mutation in TP53 cDNA c.871AA> T-AA p.K291 *, in case number 6 (bladder cancer) amplification of JAK1 and in case number 7 (head and neck cancer) mutation of PI3KCA E545, mutation of TPMT Y240C and mutation in TPMT A154 T.Conclusions This review presents as its objective the analysis of these molecular alterations and their impact on the prognosis, and therapeutic evolution of patients with the aim of integrating clinical and molecular information in a translational oncology study

Group 1 showed a significantly shorter media PFS than group 2 and 3(mPFS=4.5 vs 9 vs 12; Figure 1). Conclusion In our study, frequency of EGFR mutation affected by copy numbers of EGFR CNV and related with treatment of EGFR-TKI, especially patients with a lower frequency of EGFR with an inferior treatment.

There was a high frequency of TP53 mutations in this group of GC and GEA patients, with a higher incidence of TP53 mutations identified in GEA samples. The mutational profiles of these tumors differed according to TP53 mutation status. These differences may be able to serve as the foundation for future clinical investigations.