News
APRIL 5TH 2024
KETOTIFEN RESEARCH PUBLISHED
Purpose: To explore the cellular crosstalk of tumor resident mast cells (MCs) in controlling the activity of cancer-associated fibroblasts (CAFs) to overcome TME abnormalities, enhancing the efficacy of immune checkpoint inhibitors (ICIs) in sarcoma. Experimental Design: We used a coculture system followed by further validation in mouse models of fibrosarcoma and osteosarcoma with or without administration of the MC stabilizer and antihistamine ketotifen. To evaluate the contribution of ketotifen in sensitizing tumors to therapy, we performed combination studies with doxorubicin chemotherapy and anti-PD-L1 (B7-H1, clone 10F.9G2) treatment. We investigated the ability of ketotifen to modulate the TME in human sarcomas in the context of a repurpose phase II clinical trial. Results: Inhibition of MC activation with ketotifen successfully suppressed CAF proliferation and stiffness of the extracellular matrix accompanied by an increase in vessel perfusion in fibrosarcoma and osteosarcoma as indicated by ultrasound shear wave elastography imaging. The improved tissue oxygenation increased the efficacy of chemo-immunotherapy, supported by enhanced T cell infiltration and acquisition of tumor antigen-specific memory. Importantly, the effect of ketotifen in reducing tumor stiffness was further validated in sarcoma patients highlighting its translational potential. Conclusions: Our study suggests the targeting of MCs with clinically administered drugs, such as antihistamines, as a promising approach to overcome resistance to immunotherapy in sarcomas.
SEPTEMBER 1ST 2023
BIOMARKER EXPERIMENTAL RESEARCH PUBLISHED
Immunotherapy has revolutionized the treatment of dozens of cancers and became a standard of care for some tumor types. However, the majority of patients do not benefit from current immunotherapeutics and many develop severe toxicities. Therefore, the identification of biomarkers to classify patients as likely responders or non-responders to immunotherapy is a timely task. Here, we test ultrasound imaging markers of tumor stiffness and perfusion. Ultrasound imaging is non-invasive and clinically available and can be used both for stiffness and perfusion evaluation. In this study, we employed syngeneic orthotopic models of two breast cancers, a fibrosarcoma and a melanoma, to demonstrate that ultrasound-derived measures of tumor stiffness and perfusion (i.e., blood volume) correlate with the efficacy of immune checkpoint inhibition (ICI) in terms of changes in primary tumor volume. To modulate tumor stiffness and perfusion and thus, get a range of therapeutic outcomes, we employed the mechanotherapeutic tranilast. Mechanotherapeutics combined with ICI are advancing through clinical trials, but biomarkers of response have not been tested until now. We found the existence of linear correlations between tumor stiffness and perfusion imaging biomarkers as well as strong linear correlations between the stiffness and perfusion markers with ICI efficacy on primary tumor growth rates. Our findings set the basis for ultrasound biomarkers predictive of ICI therapy in combination with mechanotherapeutics.
MAY 9TH 2022
BIOMARKER MATHEMATICAL MODELING RESEARCH PUBLISHED
Tumor microenvironment (TME) normalization improves efficacy by increasing anticancer nanocarrier delivery by restoring transvascular pressure gradients that induce convection. However, transport depends on TME biophysics, normalization dose, and nanocarrier size. With increased understanding, we could use computation to personalize normalization amount and nanocarrier size. Here, we use deterministic global dynamic optimization with novel bounding routines to validate mechanistic models against in vivo data. We find that normalization with dexamethasone increases the maximum transvascular convection rate of nanocarriers by 48-fold, the tumor volume fraction with convection by 61%, and the total amount of convection by 360%. Nonetheless, 22% of the tumor still lacks convection. These findings underscore both the effectiveness and limits of normalization. Using artificial neural network surrogate modeling, we demonstrate the feasibility of rapidly determining the dexamethasone dose and nanocarrier size to maximize accumulation. Thus, this digital testbed quantifies transport and performs therapy design.
JUNE 4TH 2021
Immunotherapy efficacy depends on T cell trafficking to tumors and migrating to malignant cells to kill them. One barrier to T cell homing is the tumor blood vessel wall, which inhibits T cell attachment and transmigration through the endothelin B receptor, but antagonizing this receptor has not led to a clinically approved drug. One reason may be tumor hypo-perfusion, which limits the area of perfused vessels for T cell attachment. If collapsed vessels can be decompressed and re-perfused by alleviating tumor stiffness, then endothelin B receptor antagonism can improve immunotherapy. Here, it is tested whether the nonselective endothelin receptor blocker, bosentan, by simultaneously interfering with endothelin A receptor induced fibrosis, can normalize the tumor microenvironment thereby acting as a “mechanotherapeutic.” Tumor stiffness is monitored with ultrasound elastography and nanomechanical properties with atomic force microscopy to find an optimal dose, which reprograms cancer-associated fibroblasts resulting in reduced collagen thereby decompressing vessels. Through this mechanism, T cell association with tumor vessels increases and immunosuppressive hypoxia is reduced. Additionally, bosentan increases the CD8+ T cells proliferating fraction. Ultrasound stiffness measurements correlate well with response to immunotherapy, suggesting the potential role of ultrasound elastography as a predictive biomarker of response to immune checkpoint inhibitors.
BOSENTAN RESEARCH PUBLISHED