Model-based dose selection to inform translational clinical oncology development of WNT974, a first-in-class Porcupine inhibitor

Cadherin-11 contributes to the heterogenous and dynamic Wnt-Wnt-β-catenin pathway activation in Ewing sarcoma

Ewing sarcoma is the second most common bone cancer in children, and while patients who present with metastatic disease at the time of diagnosis have a dismal prognosis. Ewing sarcoma tumors are driven by the fusion gene EWS/Fli1, and while these tumors are genetically homogenous, the transcriptional heterogeneity can lead to a variety of cellular processes including metastasis. In this study, we demonstrate that in Ewing sarcoma cells, the canonical Wnt/β-Catenin signaling pathway is heterogeneously activated in vitro and in vivo, correlating with hypoxia and EWS/Fli1 activity. Ewing sarcoma cells predominantly express β-Catenin on the cell membrane bound to CDH11, which can respond to exogenous Wnt ligands leading to the immediate activation of Wnt/β-Catenin signaling within a tumor. Knockdown of CDH11 leads to delayed and decreased response to exogenous Wnt ligand stimulation, and ultimately decreased metastatic propensity. Our findings strongly indicate that CDH11 is a key component of regulating Wnt//β-Catenin signaling heterogeneity within Ewing sarcoma tumors, and is a promising molecular target to alter Wnt//β-Catenin signaling in Ewing sarcoma patients.

Tumour-based Mutational Profiles Predict Visceral Metastasis Outcome and Early Death in Prostate Cancer Patients

BACKGROUND

Visceral metastases are known to occur in advanced prostate cancer, usually when the tumour is resistant to androgen deprivation and, have worse outcomes regardless of therapies.

OBJECTIVE

To analyse genomic alterations in tumour samples according to their lymphatic, bone, and visceral metastatic stages and overall survival.

DESIGN, SETTING, AND PARTICIPANTS

We selected 200 patients with metastatic prostate cancer. Genomic profiling of 111 genes and molecular signatures (homologous recombination deficiency [HRD], microsatellite instability, and tumour burden mutation) was performed with the MyChoice test (Myriad Genetics, Inc, Salt Lake City, UT, USA).

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The association between genomic profiles and visceral metastatic evolution was evaluated using logistic regression. Kaplan-Meier and Cox proportional hazard analyses were used for analyses of early death.

RESULTS AND LIMITATIONS

A total of 173 (87%) genomic profiles were obtained. Eighty-four (49%) patients died during the follow-up period (median duration = 76 mo). TP53 was the most frequently mutated gene, followed by FANC genes, including BRCA2, and those of the Wnt-pathway (APC/CTNNB1). TP53 gene mutations were more frequent in patients of European (42%) than in those of African (16%) ancestry. An HRD score of >25 was predictive of FANC gene mutations. The mutational status of TP53 (p < 0.001) and APC (p = 0.002) genes were significantly associated with the risk of visceral metastases. The mutational status of CTNNB1 (p = 0.001), TP53 (p = 0.015), BRCA2 (p = 0.027), and FANC (p = 0.005) genes were significantly associated with an earlier age at death. The limitations are the retrospective study design based on a selection of genes and the low frequency of certain molecular events.

CONCLUSIONS

Mutations in the TP53 gene and genes (APC/CTNNB1) related to the Wnt pathway are associated with metastatic visceral dissemination and early death. These genomic alterations could be considered as markers to identify prostate cancer patients at a high risk of life-threatening disease who might benefit from more intensified treatment or new targeted therapies.

PATIENT SUMMARY

In this report, we evaluated the relationships between genomic profiles (gene mutations and molecular signatures) of tumour samples from patients with metastatic prostate cancer and early death. We found that mutations of specific genes, notably TP53 and APC/CTNNB1 related to the Wnt pathway, are associated with visceral metastatic progression and an earlier age at death.

Utility and impact of quantitative pharmacology on dose selection and clinical development of immuno-oncology therapy

Immuno-oncology (IO) therapies have changed the cancer treatment landscape. Immune checkpoint inhibitors (ICIs) have improved overall survival in 20-40% of patients with malignancies that were previously refractory. Due to the uniqueness in biology, modalities and patient responses, drug development strategies for IO differed from that traditionally used for cytotoxic and target therapies in oncology, and quantitative pharmacology utilizing modeling approach can be applied in all phases of the development process. In this review, we used case studies to showcase how various modeling methodologies were applied from translational science and dose selection through to label change, using examples that included anti-programmed-death-1 (anti-PD-1), anti-programmed-death ligand-1 (anti-PD-L1), anti-cytotoxic T-lymphocyte-associated protein 4 (anti-CTLA-4), and anti-glucocorticoid-induced tumor necrosis factor receptor-related protein (anti-GITR) antibodies. How these approaches were utilized to support phase I-III dose selection, the design of phase III trials, and regulatory decisions on label change are discussed to illustrate development strategies. Model-based quantitative approaches have positively impacted IO drug development, and a better understanding of the biology and exposure-response relationship may benefit the development and optimization of new IO therapies.