Combination Therapy With MDM2 and MEK Inhibitors Is Effective in Patient-Derived Models of Lung Adenocarcinoma With Concurrent Oncogenic Drivers and MDM2 Amplification

Fatty acid metabolism-derived prognostic model for lung adenocarcinoma: unraveling the link to survival and immune response

Background

Lung adenocarcinoma (LUAD) is one of the most common malignant tumors globally, characterized by poor prognosis and high mortality. Abnormal fatty acid metabolism plays a crucial role in LUAD progression. This study aims to develop a prognostic model based on fatty acid metabolism to improve the overall prognosis of LUAD.

Materials and methods

Bioinformatics analyses were performed using TCGA and GEO datasets, supplemented by cell experiments. A total of 309 fatty acid metabolism-related genes were identified from MsigDB. Differentially expressed genes were analyzed using the 'limma' R package. A prognostic model was constructed using LASSO regression and validated with survival analyses via the 'survminer', 'survival', and 'pROC' R packages. The analysis included somatic mutations, tumor mutation burden, clinical correlations, stemness analysis, cytokine correlations, and enrichment analysis. Protein interaction networks were constructed using STRING and Cytoscape, while immune cell infiltration and immunotherapy responses were evaluated with the 'oncoPredict' R package. Results were validated through cell experiments and immunohistochemistry staining of lung tissues.

Results

We identified 125 differentially expressed genes related to fatty acid metabolism, with 33 genes significantly associated with prognosis. Patients in the high-risk group had poorer overall survival and progression-free survival, and the risk score correlated with gender, N stage, clinical stage, and T stage. The risk score was also associated with cancer stem cells, with a significantly higher mRNAsi index in the high-risk group. Additionally, the risk score correlated with various cytokine expressions and showed significant enrichment in cell cycle pathways. Key genes like CDK1 were highly expressed in LUAD cell lines and validated in clinical samples. The low-risk group showed better responses to immune checkpoint inhibitors, with the risk score correlating with immune checkpoint gene expression.

Conclusion

This study successfully established a novel prognostic model based on fatty acid metabolism, which provides valuable insights for the treatment of LUAD.

The G-quadruplex experimental drug QN-302 impairs liposarcoma cell growth by inhibiting MDM2 expression and restoring p53 levels

Well-differentiated/dedifferentiated liposarcomas (WD/DDLPSs) account for ∼60% of all liposarcomas. They have a poor prognosis due to limited therapeutic options. WD/DDLPSs are characterized by aberrant expression of mouse double minute 2 (MDM2), which forms G-quadruplexes (G4s) in its promoter. Here, we investigated the possibility of targeting WD/DDLPSs with small molecules against the MDM2 G4s. Among the molecules tested, the naphthalene diimide derivative QN-302 significantly impaired WD/DDLPS cell growth and its activity strikingly paralleled cell-specific G4 abundance as measured by CUT&Tag and RNA sequencing analysis. QN-302 stabilized MDM2 G4s at the P2 inducible promoter and prevented polymerase progression from the constitutive P1 promoter, thereby inhibiting the formation of full-length MDM2 transcripts. This resulted in the accumulation of p53 through the p53-MDM2 autoregulatory feedback loop, ultimately leading to apoptotic cell death. In patient-derived xenograft mouse models, QN-302 treatment reduced tumour volume distribution and was well tolerated. We have identified a novel and effective therapeutic strategy to reduce MDM2 expression and promote p53 reactivation in tumours harbouring wild-type TP53, such as WD/DDLPSs.

Patient-derived xenograft model in cancer: establishment and applications

The patient-derived xenograft (PDX) model is a crucial in vivo model extensively employed in cancer research that has been shown to maintain the genomic characteristics and pathological structure of patients across various subtypes, metastatic, and diverse treatment histories. Various treatment strategies utilized in PDX models can offer valuable insights into the mechanisms of tumor progression, drug resistance, and the development of novel therapies. This review provides a comprehensive overview of the establishment and applications of PDX models. We present an overview of the history and current status of PDX models, elucidate the diverse construction methodologies employed for different tumors, and conduct a comparative analysis to highlight the distinct advantages and limitations of this model in relation to other in vivo models. The applications are elucidated in the domain of comprehending the mechanisms underlying tumor development and cancer therapy, which highlights broad applications in the fields of chemotherapy, targeted therapy, delivery systems, combination therapy, antibody-drug conjugates and radiotherapy. Furthermore, the combination of the PDX model with multiomics and single-cell analyses for cancer research has also been emphasized. The application of the PDX model in clinical treatment and personalized medicine is additionally emphasized.

Lethal clinical outcome and chemotherapy and immunotherapy resistance in patients with urothelial carcinoma with MDM2 amplification or overexpression

BACKGROUND

The E3 ubiquitin ligase murine double minute 2 (MDM2) binds the p53 transcriptional activation domain and acts as a potent inhibitor of TP53 pathway, one of the three most crucial oncogenic pathways in urothelial carcinoma (UC). However, the clinical significance and impact on tumor immune contexture of MDM2 amplification in UC remain unclear.

METHODS

This study analyzed 240 patients with UC with matched clinical annotations from two local cohorts (ZSHS cohort and FUSCC cohort). We assessed the correlation between MDM2 status and clinical outcomes, therapeutic efficacy, and immunological characteristics by immunohistochemical analysis and targeted sequencing. Additionally, 2264 UC samples from five independent external cohorts, with genomic, transcriptomic, and clinical data, were used for validation.

RESULTS

MDM2 amplification (MDM2 Amp) or protein overexpression (MDM2OE) was associated with inferior overall survival (ZSHS cohort, Log-rank p<0.001; FUSCC cohort, Log-rank p=0.030) and reduced response to platinum-based chemotherapy (ZSHS cohort, Log-rank p<0.001) as well as anti-PD-1/PD-L1 immunotherapy (FUSCC cohort, Log-rank p=0.016) in patients with UC, irrespective of TP53/p53 status. MDM2 amplification or overexpression was further linked to high-grade UC tumors with dedifferentiated morphology. In addition, UC with MDM2 amplification or overexpression was associated with an immuno-evasive contexture characterized by lower proportion of tertiary lymphoid structure infiltration, lower abundance of CD8+ T cells, IFN-γ+ cells, GZMB+ cells, and decreased expression of immune checkpoint molecules including programmed death-ligand 1 (PD-L1), programmed death-1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4).

CONCLUSIONS

MDM2 amplification or overexpression defines a lethal subset of patients with UC with inferior prognosis and resistance to both platinum-based chemotherapy and immunotherapy irrespective of TP53/p53 status. These tumors are characterized by dedifferentiated morphology and an immunosuppressive microenvironment. Accurate assessment of MDM2 status can improve risk stratification and enable personalized genomics-guided treatment for patients with UC.

MDM2 drives resistance to Osimertinib by contextually disrupting FBW7-mediated destruction of MCL-1 protein in EGFR mutant NSCLC

BACKGROUND

Overcoming resistance to Osimertinib in epidermal growth factor receptor (EGFR) mutant non-small cell lung cancer (NSCLC) is clinically challenging because the underlying mechanisms are not fully understood. The murine double minute 2 (MDM2) has been extensively described as a tumor promotor in various malignancies, mainly through a negative regulatory machinery on the p53 tumor suppressor. However, the significance of MDM2 on the sensitivity to Osimertinib has not been described.

METHODS

Osimertinib resistant cells were generated by standard dose escalation strategy and individual resistant clones were isolated for MDM2 testing. The MDM2 and its mutant constructs (ΔPBD, ΔRING, C464A) were introduced into PC-9, HCC827 and H1975 cells and evaluated for the sensitivity to Osimertinib by MTT assay, colony formation, EdU assay and TUNEL assay. MDM2 expression in resistant cells was manipulated by pharmacological and molecular approaches, respectively. Proteins that were implicated in PI3K/Akt, MAPK/Erk and apoptosis signaling were measured by Western blot analysis. Candidate proteins that interacted with MDM2 were captured by immunoprecipitation and probed with indicated antibodies.

RESULTS

In comparison with parental PC-9 cells, the PC-9 OR resistant cells expressed high level of MDM2. Ectopic expression of MDM2 in PC-9, HCC827 and H1975 sensitive cells generated an Osimertinib resistant phenotype, regardless of p53 status. MDM2 promoted resistance to Osimertinib through a PI3K/Akt and MAPK/Erk-independent machinery, in contrast, MDM2 selectively stabilized MCL-1 protein to arrest Osimertinib-induced cancer cell apoptosis. Mechanistically, MDM2 acted as a E3 ligase to ubiquitinate FBW7, a well-established E3 ligase for MCL-1, at Lys412 residue, which resulted in FBW7 destruction and MCL-1 stabilization. Targeting MDM2 to augment MCL-1 protein breakdown overcame resistance to Osimertinib in vitro and in vivo. Finally, the clinical relevance of MDM2-FBW7-MCL-1 regulatory axis was validated in mouse xenograft tumor model and in NSCLC specimen.

CONCLUSION

Overexpression of MDM2 is a novel resistant mechanism to Osimertinib in EGFR mutant NSCLC. MDM2 utilizes its E3 ligase activity to provoke FBW7 destruction and sequentially leads to MCL-1 stabilization. Cancer cells with aberrant MDM2 state are refractory to apoptosis induction and elicit a resistant phenotype to Osimertinib. Therefore, targeting MDM2 would be a feasible approach to overcome resistance to Osimertinib in EGFR mutant NSCLC.

Combination of MDM2 and Targeted Kinase Inhibitors Results in Prolonged Tumor Control in Lung Adenocarcinomas With Oncogenic Tyrosine Kinase Drivers and MDM2 Amplification

PURPOSE

MDM2, a negative regulator of the TP53 tumor suppressor, is oncogenic when amplified. MDM2 amplification (MDM2amp) is mutually exclusive with TP53 mutation and is seen in 6% of patients with lung adenocarcinoma (LUAD), with significant enrichment in subsets with receptor tyrosine kinase (RTK) driver alterations. Recent studies have shown synergistic activity of MDM2 and MEK inhibition in patient-derived LUAD models with MDM2amp and RTK driver alterations. However, the combination of MDM2 and RTK inhibitors in LUAD has not been studied.

METHODS

We evaluated the combination of MDM2 and RTK inhibition in patient-derived models of LUAD.

RESULTS

In a RET-fusion LUAD patient-derived model with MDM2amp, MDM2 inhibition with either milademetan or AMG232 combined with selpercatinib resulted in long-term in vivo tumor control markedly superior to either agent alone. Similarly, in an EGFR-mutated model with MDM2amp, combining either milademetan or AMG232 with osimertinib resulted in long-term in vivo tumor control, which was strikingly superior to either agent alone.

CONCLUSION

These preclinical in vivo data provide a rationale for further clinical development of this combinatorial targeted therapy approach.

Oncogene goosecoid is transcriptionally regulated by E2F1 and correlates with disease progression in prostate cancer

BACKGROUND

Although some well-established oncogenes are involved in cancer initiation and progression such as prostate cancer (PCa), the long tail of cancer genes remains to be defined. Goosecoid ( GSC ) has been implicated in cancer development. However, the comprehensive biological role of GSC in pan-cancer, specifically in PCa, remains unexplored. The aim of this study was to investigate the role of GSC in PCa development.

METHODS

We performed a systematic bioinformatics exploration of GSC using datasets from The Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, German Cancer Research Center, and our in-house cohorts. First, we evaluated the expression of GSC and its association with patient prognosis, and identified GSC -relevant genetic alterations in cancers. Further, we focused on the clinical characterization and prognostic analysis of GSC in PCa. To understand the transcriptional regulation of GSC by E2F transcription factor 1 ( E2F1 ), we performed chromatin immunoprecipitation quantitative polymerase chain reaction (qPCR). Functional experiments were conducted to validate the effect of GSC on the tumor cellular phenotype and sensitivity to trametinib.

RESULTS

GSC expression was elevated in various tumors and significantly correlated with patient prognosis. The alterations of GSC contribute to the progression of various tumors especially in PCa. Patients with PCa and high GSC expression exhibited worse progression-free survival and biochemical recurrence outcomes. Further, GSC upregulation in patients with PCa was mostly accompanied with higher Gleason score, advanced tumor stage, lymph node metastasis, and elevated prostate-specific antigen (PSA) levels. Mechanistically, the transcription factor, E2F1 , stimulates GSC by binding to its promoter region. Detailed experiments further demonstrated that GSC acted as an oncogene and influenced the response of PCa cells to trametinib treatment.

CONCLUSIONS

GSC was highly overexpressed and strongly correlated with patient prognosis in PCa. We found that GSC , regulated by E2F1 , acted as an oncogene and impeded the therapeutic efficacy of trametinib in PCa.

Advances of E3 ligases in lung cancer

Lung cancer is a leading cause of cancer-related death, and the most common type of lung cancer is non-small cell lung cancer, which accounts for approximately 85 % of lung cancer diagnoses. Recent studies have revealed that ubiquitination acts as a crucial part of the development and progression of lung cancer. The E1-E2-E3 three-enzyme cascade has a core function in ubiquitination, so targeted adjustments of E3 ligases could be used in lung cancer treatment. Hence, we elucidate research advances in lung cancer-related E3 ligases by briefly describing the structure and categorization of E3 ligases. Here, we provide a detailed review of the mechanisms by which lung cancer-related E3 ligases modify substrate proteins and regulate signaling pathways to facilitate or suppress cancer progression. We hope to show a new perspective on targeted precision therapy for lung cancer.

Targeting MEK in non-small cell lung cancer

The mitogen-activated protein kinase (MAPK or MEK) pathway modulates tumor cell survival and proliferation in non-small cell lung cancer (NSCLC). Unlike RAS or EGFR, activating mutations in MEK are exceedingly rare in NSCLC. Instead, enhanced activation of the MEK pathway is often linked to increased signaling by upstream oncogenic driver mutations. Thus far, MEK inhibitor monotherapy has shown little promise. However, treatment strategies involving MEK inhibition in combination with other targeted therapies in other oncogene-driven NSCLC has proven to be encouraging. For example, MEK inhibition - when combined with BRAF inhibition, - has shown strong anti-tumor activity in BRAF V600 mutated NSCLC. In this review, recent data on MEK inhibitor strategies in NSCLC are summarized. Furthermore, ongoing early phase trials investigating MEK inhibitor combination therapy with immunotherapy, chemotherapy and other oncogene drivers are highlighted. These and other studies could help inform future rational combination strategies of MEK-ERK inhibition in oncogene-driven NSCLC.