SUMMARY Acetyl-CoA represents a central node of carbon metabolism that plays a key role in bioenergetics, cell proliferation and the regulation of gene expression. How highly glycolytic or hypoxic tumors are able to produce sufficient quantities of this metabolite to support cell growth and survival under nutrient-limiting conditions remains poorly understood. Here we show that the nucleocytosolic acetyl-CoA synthetase enzyme, ACSS2, supplies a key source of acetyl-CoA for tumors by capturing acetate as a carbon source. Despite exhibiting no gross deficits in growth or development, adult mice lacking ACSS2 exhibit a significant reduction in tumor burden in two different models of hepatocellular carcinoma. ACSS2 is expressed in a large proportion of human tumors and its activity is responsible for the majority of cellular acetate uptake into both lipids and histones. These observations may qualify ACSS2 as a targetable metabolic vulnerability of a wide spectrum of tumors.
Sustained and complete inhibition of HER3 and its output to PI3K/Akt are required for the optimal antitumor effect of therapeutic inhibitors of the HER2 oncogene. Here, we show that, after inhibition of the HER2 tyrosine kinase with lapatinib, there is PI3K/ Akt and FoxO3a-dependent up-regulation of HER3 mRNA and protein. Up-regulated HER3 was then phosphorylated by residual HER2 activity, thus partially maintaining P-Akt and limiting the antitumor action of lapatinib. Inhibition of HER3 with siRNA or a neutralizing HER3 antibody sensitized HER2+ breast cancer cells and xenografts to lapatinib both in vitro and in vivo. Combined blockade of HER2 and HER3 inhibited pharmacodynamic biomarkers of PI3K/Akt activity more effectively than each inhibitor alone. These results suggest that because of HER3-mediated compensation, current clinical inhibitors of HER2 and PI3K/Akt will not block the PI3K pathway completely. They also suggest that therapeutic inhibitors of HER3 should be used in combination with HER2 inhibitors and PI3K pathway inhibitors in patients with HER2-and PI3K-dependent cancers.T he HER (ErbB) transmembrane receptor tyrosine kinase family is comprised of four members: EGF receptor (ErbB1), HER2 (ErbB2), HER3 (ErbB3), and HER4 (ErbB4). HER2 is amplified in approximately 25% of human breast cancers (1) and is associated with poor prognosis (2). HER2/HER3 heterodimers are the most transforming of this receptor network (3). HER3, which lacks intrinsic kinase activity (4), is able to potently activate the phosphatidylinositol-3 kinase (PI3K)/Akt signaling pathway (5) via its six docking sites for the p85 adaptor subunit of PI3K (6). HER2-mediated transformation of mammary epithelial cells has been attributed to a large degree to activation of the PI3K-Akt survival pathway. Trastuzumab, a monoclonal antibody directed against the ectodomain of HER2, and the EGFR/HER2 tyrosine kinase inhibitor (TKI) lapatinib are approved for the treatment of HER2-overexpressing breast cancer. Although these therapies work by different mechanisms, it has been proposed that, to exert an antitumor effect, they should inhibit phosphorylation of HER3 and disable the PI3K/ Akt pathway (7,8).The HER3 coreceptor plays an essential role in HER2-mediated transformation, tumor progression, and drug resistance. In HER2-dependent cells, loss of HER3 results in reduced signaling through PI3K and cell proliferation (9, 10), suggesting that HER2 may be dependent on HER3 to drive growth and survival of breast cancer cells. As it applies to drug resistance, inhibition of HER2 phosphorylation by TKIs targeting EGFR and HER2 in HER2+ breast cancer cells is followed by feedback upregulation of activated HER3, thus limiting the inhibitory effect of HER TKIs (11,12). These studies point to a central role for HER3 in the survival of HER2+ cells that potentially limit the full action of HER2 antagonists. ResultsInhibition of the HER2 Tyrosine Kinase Is Followed by Up-Regulation of HER3 and P-HER3. We hypothesized that sustained and complete inhibiti...
Abnormal cellular metabolism is a hallmark of cancer, yet there is an absence of quantitative methods to dynamically image this powerful cellular function. Optical metabolic imaging (OMI) is a non-invasive, high-resolution, quantitative tool for monitoring cellular metabolism. OMI probes the fluorescence intensities and lifetimes of the autofluorescent metabolic co-enzymes reduced nicotinamide adenine dinucleotide (NADH) and flavin adenine dinucleotide (FAD). We confirm that OMI correlates with cellular glycolytic levels across a panel of human breast cell lines, using standard assays of cellular rates of glucose uptake and lactate secretion (p<0.05, r=0.89). Additionally, OMI resolves differences in the basal metabolic activity of untransformed from malignant breast cells (p<0.05), and between breast cancer sub-types (p<0.05), defined by estrogen receptor (ER) and/or HER2 expression or absence. In vivo OMI is sensitive to metabolic changes induced by inhibition of HER2 with the antibody trastuzumab (Herceptin) in HER2-overexpressing human breast cancer xenografts in mice. This response was confirmed with tumor growth curves and stains for Ki67 and cleaved caspase-3. OMI resolved trastuzumab-induced changes in cellular metabolism in vivo as early as 48 hours post-treatment (p<0.05), while FDG-PET did not resolve any changes with trastuzumab up to 12-days post-treatment (p>0.05). In addition, OMI resolved cellular sub-populations of differing response in vivo that are critical for investigating drug resistance mechanisms. Importantly, OMI endpoints remained unchanged with trastuzumab-treatment in trastuzumab-resistant xenografts (p>0.05). OMI has significant implications for rapid cellular-level assessment of metabolic response to molecular expression and drug action, which would greatly accelerate drug development studies.
Most estrogen receptor α (ER)-positive breast cancers initially respond to antiestrogens, but many eventually become estrogen-independent and recur. We identified an estrogen-independent role for ER and the CDK4/Rb/E2F transcriptional axis in the hormone-independent growth of breast cancer cells. ER downregulation with fulvestrant or siRNA inhibited estrogen-independent growth. Chromatin immunoprecipitation identified ER genomic binding activity in estrogen-deprived cells and primary breast tumors treated with aromatase inhibitors. Gene expression profiling revealed an estrogen-independent, ER/E2F-directed transcriptional program. An E2F activation gene signature correlated with a lesser response to aromatase inhibitors in patients' tumors. siRNA screening showed that CDK4, an activator of E2F, is required for estrogen-independent cell growth. Long-term estrogen-deprived cells hyperactivate phosphatidylinositol 3-kinase (PI3K) independently of ER/E2F. Fulvestrant combined with the pan-PI3K inhibitor BKM120 induced regression of ER+ xenografts. These data support further development of ER downregulators and CDK4 inhibitors, and their combination with PI3K inhibitors for treatment of antiestrogen-resistant breast cancers.
Potentiating anti-tumor immunity by inducing tumor inflammation and T cell-mediated responses are a promising area of cancer therapy. Immunomodulatory agents that promote these effects function via a wide variety of mechanisms, including upregulation of antigen presentation pathways. Here, we show that major histocompatibility class-I (MHC-I) genes are methylated in human breast cancers, suppressing their expression. Treatment of breast cancer cell lines with a next-generation hypomethylating agent, guadecitabine, upregulates MHC-I expression in response to interferon-γ. In murine tumor models of breast cancer, guadecitabine upregulates MHC-I in tumor cells promoting recruitment of CD8+ T cells to the microenvironment. Finally, we show that MHC-I genes are upregulated in breast cancer patients treated with hypomethylating agents. Thus, the immunomodulatory effects of hypomethylating agents likely involve upregulation of class-I antigen presentation to potentiate CD8+ T cell responses. These strategies may be useful to potentiate anti-tumor immunity and responses to checkpoint inhibition in immune-refractory breast cancers.
Objective. The volume of subcutaneous xenograft tumors is an important metric of disease progression and response to therapy in preclinical drug development. Noninvasive imaging technologies suitable for measuring xenograft volume are increasingly available, yet manual calipers, which are susceptible to inaccuracy and bias, are routinely used. The goal of this study was to quantify and compare the accuracy, precision, and inter-rater variability of xenograft tumor volume assessment by caliper measurements and ultrasound imaging. Methods. Subcutaneous xenograft tumors derived from human colorectal cancer cell lines (DLD1 and SW620) were generated in athymic nude mice. Experienced independent reviewers segmented 3-dimensional ultrasound data sets and collected manual caliper measurements resulting in tumor volumes. Imaging-and caliper-derived volumes were compared with the tumor mass, the reference standard, determined after resection. Bias, precision, and inter-rater differences were estimated for each mouse among reviewers. Bootstrapping was used to estimate mean and confidence intervals of variance components, intraclass correlation coefficients (ICCs), and confidence intervals for each source of variation. Results. The average deviation from the true volume and inter-rater differences were significantly lower for ultrasound volumes compared with caliper volumes (P = .0005 and .001, respectively). Reviewer ICCs for ultrasound and caliper measurements were similarly low (1%), yet caliper volume variance was 1.3-fold higher than for ultrasound. Conclusions. Ultrasound imaging more accurately, precisely, and reproducibly reflects xenograft tumor volume than caliper measurements. These data suggest that preclinical studies using the xenograft burden as a surrogate end point measured by ultrasound imaging require up to 30% fewer animals to reach statistical significance compared with analogous studies using caliper measurements.
There is a critical need to develop and rigorously validate molecular imaging biomarkers to aid diagnosis and characterization of primary brain tumors. Elevated expression of translocator protein (TSPO) has been shown to predict disease progression and aggressive, invasive behavior in a variety of solid tumors. Thus, noninvasive molecular imaging of TSPO expression could form the basis of a novel, predictive cancer imaging biomarker. In quantitative preclinical PET studies, we evaluated a high-affinity pyrazolopyrimidinyl-based TSPO imaging ligand, N,N-diethyl-2-(2-(4-(2-(18F)-fluoroethoxy)phenyl)-5,7-dimethylpyrazolo[1,5-a]pyrimidin-3-yl)acetamide ([18F]DPA-714), as a translational probe for quantification of TSPO levels in glioma. Methods Glioma-bearing rats were imaged with [18F]DPA-714 in a microPET system. Dynamic images were acquired simultaneously upon injection of [18F]DPA-714 (130 – 200 MBq/0.2 mL). Arterial blood was collected to derive the input function (AIF), with HPLC radiometabolite analysis performed upon select samples for AIF correction. Compartmental modeling was performed using the corrected AIF. Specific tumor cell binding of DPA-714 was evaluated by radioligand displacement of [3H]PK 11195 with DPA-714 in vitro and displacement of [18F]DPA-714 with excess DPA-714 in vivo. Immediately following imaging, tumor and healthy brain tissues were harvested for validation by western blotting and immunohistochemistry. Results [18F]DPA-714 was found to preferentially accumulate in tumors with modest uptake in contralateral brain. Infusion with DPA-714 (10 mg/kg) displaced [18F]DPA-714 binding by greater than 60% on average. Tumor uptake of [18F]DPA-714 was similar to another high-affinity TSPO imaging ligand, [18F]PBR06, and agreed with ex vivo assay of TSPO protein levels in tumor and healthy brain. Conclusions These studies illustrate the feasibility of using [18F]DPA-714 for visualization of TSPO-expressing brain tumors. Importantly, [18F]DPA-714 appears suitable for quantitative assay of tumor TSPO levels in vivo. Given the relationship between elevated TSPO levels and poor outcome in oncology, these studies suggest the potential of [18F]DPA-714 PET to serve as a novel predictive cancer imaging modality.
Exosomes are small, 40–130 nm secreted extracellular vesicles that recently have become the subject of intense focus as agents of intercellular communication, disease biomarkers and potential vehicles for drug delivery. It is currently unknown whether a cell produces different populations of exosomes with distinct cargo and separable functions. To address this question, high-resolution methods are needed. Using a commercial flow cytometer and directly labelled fluorescent antibodies, we show the feasibility of using fluorescence-activated vesicle sorting (FAVS) to analyse and sort individual exosomes isolated by sequential ultracentrifugation from the conditioned medium of DiFi cells, a human colorectal cancer cell line. EGFR and the exosomal marker, CD9, were detected on individual DiFi exosomes by FAVS; moreover, both markers were identified by high-resolution stochastic optical reconstruction microscopy on individual, approximately 100 nm vesicles from flow-sorted EGFR/CD9 double-positive exosomes. We present evidence that the activation state of EGFR can be assessed in DiFi-derived exosomes using a monoclonal antibody (mAb) that recognizes “conformationally active” EGFR (mAb 806). Using human antigen-specific antibodies, FAVS was able to detect human EGFR and CD9 on exosomes isolated from the plasma of athymic nude mice bearing DiFi tumour xenografts. Multicolour FAVS was used to simultaneously identify CD9, EGFR and an EGFR ligand, amphiregulin (AREG), on human plasma-derived exosomes from 3 normal individuals. These studies demonstrate the feasibility of FAVS to both analyse and sort individual exosomes based on specific cell-surface markers. We propose that FAVS may be a useful tool to monitor EGFR and AREG in circulating exosomes from individuals with colorectal cancer and possibly other solid tumours.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.