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1.
Cancer Res Commun ; 2(4): 246-257, 2022 04.
Article in English | MEDLINE | ID: mdl-36187936

ABSTRACT

Many patients with breast cancer have a poor prognosis with limited therapeutic options. Here, we investigated the potential of chemo-immunogenic therapy as an avenue of treatment. We utilized two syngeneic mouse mammary tumor models, 4T1 and E0771, to examine the chemo-immunogenic potential of cyclophosphamide and the mechanistic contributions of cyclophosphamide-activated type-I interferon (IFN) signaling to therapeutic activity. Chemically-activated cyclophosphamide induced robust IFNα/ß receptor-1-dependent signaling linked to hundreds of IFN-stimulated gene responses in both cell lines. Further, in 4T1 tumors, cyclophosphamide given on a medium-dose, 6-day intermittent metronomic schedule induced strong IFN signaling but comparatively weak immune cell infiltration associated with long-term tumor growth stasis. Induction of IFN signaling was somewhat weaker in E0771 tumors but was followed by widespread downstream gene responses, robust immune cell infiltration and extensive, prolonged tumor regression. The immune dependence of these effective anti-tumor responses was established by CD8 T-cell immunodepletion, which blocked cyclophosphamide-induced E0771 tumor regression and led to tumor stasis followed by regrowth. Strikingly, IFNα/ß receptor-1 antibody blockade was even more effective in preventing E0771 immune cell infiltration and blocked the major tumor regression induced by cyclophosphamide treatment. Type-I IFN signaling is thus essential for the robust chemo-immunogenic response of these tumors to cyclophosphamide administered on a metronomic schedule.


Subject(s)
Brain Neoplasms , Interferon Type I , Mice , Animals , Brain Neoplasms/drug therapy , Administration, Metronomic , Cyclophosphamide/pharmacology , Immunity, Innate , Interferon Type I/pharmacology , Disease Models, Animal
2.
Sci Rep ; 12(1): 5864, 2022 04 07.
Article in English | MEDLINE | ID: mdl-35393476

ABSTRACT

Spatial Frequency Domain Imaging (SFDI) can provide longitudinal, label-free, and widefield hemodynamic and scattering measurements of murine tumors in vivo. Our previous work has shown that the reduced scattering coefficient (µ's) at 800 nm, as well as the wavelength dependence of scattering, both have prognostic value in tracking apoptosis and proliferation during treatment with anti-cancer therapies. However, there is limited work in validating these optical biomarkers in clinically relevant tumor models that manifest specific treatment resistance mechanisms that mimic the clinical setting. It was recently demonstrated that metronomic dosing of cyclophosphamide induces a strong anti-tumor immune response and tumor volume reduction in the E0771 murine breast cancer model. This immune activation mechanism can be blocked with an IFNAR-1 antibody, leading to treatment resistance. Here we present a longitudinal study utilizing SFDI to monitor this paired responsive-resistant model for up to 30 days of drug treatment. Mice receiving the immune modulatory metronomic cyclophosphamide schedule had a significant increase in tumor optical scattering compared to mice receiving cyclophosphamide in combination with the IFNAR-1 antibody (9% increase vs 10% decrease on day 5 of treatment, p < 0.001). The magnitude of these differences increased throughout the duration of treatment. Additionally, scattering changes on day 4 of treatment could discriminate responsive versus resistant tumors with an accuracy of 78%, while tumor volume had an accuracy of only 52%. These results validate optical scattering as a promising prognostic biomarker that can discriminate between treatment responsive and resistant tumor models.


Subject(s)
Breast Neoplasms , Animals , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/drug therapy , Cyclophosphamide/pharmacology , Cyclophosphamide/therapeutic use , Diagnostic Imaging , Female , Humans , Immunity , Longitudinal Studies , Mice
3.
Endocrinology ; 163(5)2022 05 01.
Article in English | MEDLINE | ID: mdl-35396838

ABSTRACT

STAT5 is an essential transcriptional regulator of the sex-biased actions of GH in the liver. Delivery of constitutively active STAT5 (STAT5CA) to male mouse liver using an engineered adeno-associated virus with high tropism for the liver is shown to induce widespread feminization of the liver, with extensive induction of female-biased genes and repression of male-biased genes, largely mimicking results obtained when male mice are given GH as a continuous infusion. Many of the STAT5CA-responding genes were associated with nearby (< 50 kb) sites of STAT5 binding to liver chromatin, supporting the proposed direct role of persistently active STAT5 in continuous GH-induced liver feminization. The feminizing effects of STAT5CA were dose-dependent; moreover, at higher levels, STAT5CA overexpression resulted in some histopathology, including hepatocyte hyperplasia, and increased karyomegaly and multinuclear hepatocytes. These findings establish that the persistent activation of STAT5 by GH that characterizes female liver is by itself sufficient to account for the sex-dependent expression of a majority of hepatic sex-biased genes. Moreover, histological changes seen when STAT5CA is overexpressed highlight the importance of carefully evaluating such effects before considering STAT5 derivatives for therapeutic use in treating liver disease.


Subject(s)
Feminization , STAT5 Transcription Factor , Animals , Female , Gene Expression , Growth Hormone/metabolism , Hepatocytes/metabolism , Humans , Liver/metabolism , Male , Mice , Milk Proteins/genetics , Milk Proteins/metabolism , Milk Proteins/pharmacology , STAT5 Transcription Factor/genetics , STAT5 Transcription Factor/metabolism
4.
Neoplasia ; 23(3): 294-303, 2021 03.
Article in English | MEDLINE | ID: mdl-33578267

ABSTRACT

Monitoring of the in vivo tumor state to track therapeutic response in real time may help to evaluate new drug candidates, maximize treatment efficacy, and reduce the burden of overtreatment. Current preclinical tumor imaging methods have largely focused on anatomic imaging (e.g., MRI, ultrasound), functional imaging (e.g., FDG-PET), and molecular imaging with exogenous contrast agents (e.g., fluorescence optical tomography). Here we utalize spatial frequency domain imaging (SFDI), a noninvasive, label-free optical technique, for the wide-field quantification of changes in tissue optical scattering in preclinical tumor models during treatment with chemotherapy and antiangiogenic agents. Optical scattering is particularly sensitive to tissue micro-architectural changes, including those that occur during apoptosis, an early indicator of response to cytotoxicity induced by chemotherapy, thermotherapy, cryotherapy, or radiation therapy. We utilized SFDI to monitor responses of PC3/2G7 prostate tumors and E0771 mammary tumors to treatment with cyclophosphamide or the antiangiogenic agent DC101 for up to 49 days. The SFDI-derived scattering amplitude was highly correlated with cleaved caspase-3, a marker of apoptosis (ρp = 0.75), while the exponent of the scattering wavelength-dependence correlated with the cell proliferation marker PCNA (ρp = 0.69). These optical parameters outperformed tumor volume and several functional parameters (e.g., oxygen saturation and hemoglobin concentration) as an early predictive biomarker of treatment response. Quantitative diffuse optical scattering is thus a promising new early marker of treatment response, which does not require radiation or exogenous contrast agents.


Subject(s)
Angiogenesis Inhibitors/pharmacology , Apoptosis/drug effects , Biomarkers , Breast Neoplasms/diagnostic imaging , Neovascularization, Pathologic/metabolism , Optical Imaging , Prostatic Neoplasms/diagnostic imaging , Angiogenesis Inhibitors/therapeutic use , Animals , Breast Neoplasms/drug therapy , Breast Neoplasms/etiology , Female , Humans , Image Processing, Computer-Assisted , Male , Mice , Molecular Targeted Therapy , Neovascularization, Pathologic/drug therapy , Optical Imaging/methods , Prostatic Neoplasms/drug therapy , Prostatic Neoplasms/etiology , Spectrum Analysis , Tumor Burden
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