Browsing by Author "Hsu, David S"
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Item Open Access Age-specific differences in oncogenic pathway deregulation seen in human breast tumors.(PLoS One, 2008-01-02) Anders, Carey K; Acharya, Chaitanya R; Hsu, David S; Broadwater, Gloria; Garman, Katherine; Foekens, John A; Zhang, Yi; Wang, Yixin; Marcom, Kelly; Marks, Jeffrey R; Mukherjee, Sayan; Nevins, Joseph R; Blackwell, Kimberly L; Potti, AnilPURPOSE: To define the biology driving the aggressive nature of breast cancer arising in young women. EXPERIMENTAL DESIGN: Among 784 patients with early stage breast cancer, using prospectively-defined, age-specific cohorts (young or=65 years), 411 eligible patients (n = 200or=65 years) with clinically-annotated Affymetrix microarray data were identified. GSEA, signatures of oncogenic pathway deregulation and predictors of chemotherapy sensitivity were evaluated within the two age-defined cohorts. RESULTS: In comparing deregulation of oncogenic pathways between age groups, a higher probability of PI3K (p = 0.006) and Myc (p = 0.03) pathway deregulation was observed in breast tumors arising in younger women. When evaluating unique patterns of pathway deregulation, a low probability of Src and E2F deregulation in tumors of younger women, concurrent with a higher probability of PI3K, Myc, and beta-catenin, conferred a worse prognosis (HR = 4.15). In contrast, a higher probability of Src and E2F pathway activation in tumors of older women, with concurrent low probability of PI3K, Myc and beta-catenin deregulation, was associated with poorer outcome (HR = 2.7). In multivariate analyses, genomic clusters of pathway deregulation illustrate prognostic value. CONCLUSION: Results demonstrate that breast cancer arising in young women represents a distinct biologic entity characterized by unique patterns of deregulated signaling pathways that are prognostic, independent of currently available clinico-pathologic variables. These results should enable refinement of targeted treatment strategies in this clinically challenging situation.Item Open Access Characterization of a castrate-resistant prostate cancer xenograft derived from a patient of West African ancestry.(Prostate cancer and prostatic diseases, 2021-10-13) Patierno, Brendon M; Foo, Wen-Chi; Allen, Tyler; Somarelli, Jason A; Ware, Kathryn E; Gupta, Santosh; Wise, Sandra; Wise, John P; Qin, Xiaodi; Zhang, Dadong; Xu, Lingfan; Li, Yanjing; Chen, Xufeng; Inman, Brant A; McCall, Shannon J; Huang, Jiaoti; Kittles, Rick A; Owzar, Kouros; Gregory, Simon; Armstrong, Andrew J; George, Daniel J; Patierno, Steven R; Hsu, David S; Freedman, Jennifer ABackground
Prostate cancer is a clinically and molecularly heterogeneous disease, with highest incidence and mortality among men of African ancestry. To date, prostate cancer patient-derived xenograft (PCPDX) models to study this disease have been difficult to establish because of limited specimen availability and poor uptake rates in immunodeficient mice. Ancestrally diverse PCPDXs are even more rare, and only six PCPDXs from self-identified African American patients from one institution were recently made available.Methods
In the present study, we established a PCPDX from prostate cancer tissue from a patient of estimated 90% West African ancestry with metastatic castration resistant disease, and characterized this model's pathology, karyotype, hotspot mutations, copy number, gene fusions, gene expression, growth rate in normal and castrated mice, therapeutic response, and experimental metastasis.Results
This PCPDX has a mutation in TP53 and loss of PTEN and RB1. We have documented a 100% take rate in mice after thawing the PCPDX tumor from frozen stock. The PCPDX is castrate- and docetaxel-resistant and cisplatin-sensitive, and has gene expression patterns associated with such drug responses. After tail vein injection, the PCPDX tumor cells can colonize the lungs of mice.Conclusion
This PCPDX, along with others that are established and characterized, will be useful pre-clinically for studying the heterogeneity of prostate cancer biology and testing new therapeutics in models expected to be reflective of the clinical setting.Item Open Access Development of a Novel c-MET-Based CTC Detection Platform.(Mol Cancer Res, 2016-06) Zhang, Tian; Boominathan, Rengasamy; Foulk, Brad; Rao, Chandra; Kemeny, Gabor; Strickler, John H; Abbruzzese, James L; Harrison, Michael R; Hsu, David S; Healy, Patrick; Li, Jing; Pi, Cinthia; Prendergast, Katherine M; Hobbs, Carey; Gemberling, Sarah; George, Daniel J; Hurwitz, Herbert I; Connelly, Mark; Garcia-Blanco, Mariano A; Armstrong, Andrew JUNLABELLED: Amplification of the MET oncogene is associated with poor prognosis, metastatic dissemination, and drug resistance in many malignancies. We developed a method to capture and characterize circulating tumor cells (CTC) expressing c-MET using a ferromagnetic antibody. Immunofluorescence was used to characterize cells for c-MET, DAPI, and pan-CK, excluding CD45(+) leukocytes. The assay was validated using appropriate cell line controls spiked into peripheral blood collected from healthy volunteers (HV). In addition, peripheral blood was analyzed from patients with metastatic gastric, pancreatic, colorectal, bladder, renal, or prostate cancers. CTCs captured by c-MET were enumerated, and DNA FISH for MET amplification was performed. The approach was highly sensitive (80%) for MET-amplified cells, sensitive (40%-80%) for c-MET-overexpressed cells, and specific (100%) for both c-MET-negative cells and in 20 HVs. Of 52 patients with metastatic carcinomas tested, c-MET CTCs were captured in replicate samples from 3 patients [gastric, colorectal, and renal cell carcinoma (RCC)] with 6% prevalence. CTC FISH demonstrated that MET amplification in both gastric and colorectal cancer patients and trisomy 7 with gain of MET gene copies in the RCC patient. The c-MET CTC assay is a rapid, noninvasive, sensitive, and specific method for detecting MET-amplified tumor cells. CTCs with MET amplification can be detected in patients with gastric, colorectal, and renal cancers. IMPLICATIONS: This study developed a novel c-MET CTC assay for detecting c-MET CTCs in patients with MET amplification and warrants further investigation to determine its clinical applicability. Mol Cancer Res; 14(6); 539-47. ©2016 AACR.Item Open Access MYC activity mitigates response to rapamycin in prostate cancer through eukaryotic initiation factor 4E-binding protein 1-mediated inhibition of autophagy.(Cancer Res, 2009-10-01) Balakumaran, Bala S; Porrello, Alessandro; Hsu, David S; Glover, Wayne; Foye, Adam; Leung, Janet Y; Sullivan, Beth A; Hahn, William C; Loda, Massimo; Febbo, Phillip GLoss of PTEN and activation of phosphoinositide 3-kinase are commonly observed in advanced prostate cancer. Inhibition of mammalian target of rapamycin (mTOR), a downstream target of phosphoinositide 3-kinase signaling, results in cell cycle arrest and apoptosis in multiple in vitro and in vivo models of prostate cancer. However, single-agent use of mTOR inhibition has limited clinical success, and the identification of molecular events mitigating tumor response to mTOR inhibition remains a critical question. Here, using genetically engineered human prostate epithelial cells (PrEC), we show that MYC, a frequent target of genetic gain in prostate cancers, abrogates sensitivity to rapamycin by decreasing rapamycin-induced cytostasis and autophagy. Analysis of MYC and the mTOR pathway in human prostate tumors and PrEC showed selective increased expression of eukaryotic initiation factor 4E-binding protein 1 (4EBP1) with gain in MYC copy number or forced MYC expression, respectively. We have also found that MYC binds to regulatory regions of the 4EBP1 gene. Suppression of 4EBP1 expression resulted in resensitization of MYC-expressing PrEC to rapamycin and increased autophagy. Taken together, our findings suggest that MYC expression abrogates sensitivity to rapamycin through increased expression of 4EBP1 and reduced autophagy.Item Open Access Preclinical Modeling of Novel Therapeutics in Patient Derived Xenografts of Solid Tumors(2015) Zessin, AmeliaDue to the failure of many drugs in the transition from the preclinical setting into clinical trials, better mouse models of cancer are needed. To this end, our lab has created a patient derived xenograft (PDX) system by processing tumors as they are resected from the patient and directly injected them into mice without the intermediate step of cell culture. This allows us to work with tumors that are very similar to the original patient tumors, unlike cell lines, which have many alterations before they are used for xenograft work. Our PDX model is ideal for studying novel therapeutics in vivo, as they accurately mimic the human tumor setting.
One current difficulty clinicians in oncology have is directing patients to the therapy that will be most effective and least toxic to them. Next-generation sequencing platforms address this problem by providing clinicians an overview of their patient’s mutation status. It is not known, however, the most cost effective sequencing platform that gives sufficient data to properly direct a patient’s therapy. Therefore, I tested panels of two different sizes to determine how many genes need to be sequenced to sufficiently treat a group of patients. I then directed mice into therapy based upon the results from each of the panels. I determined that while a 400 gene panel does give enough mutation data to guide therapy, many of the mutations are not predictive and require further testing.
Exercise is a potential therapy that has recently been shown to be somewhat effective in mouse models of cancer, as well as decreasing time to progression for cancer patients. However, it is unclear how exercise therapy decreases the growth of tumors. To explore this in detail, I used our PDX model and investigated whether three different colon cancer PDXs would respond to exercise. I found that two out of the three did respond to exercise, as evidenced by decreased tumor growth. To investigate the mechanism of the effects of exercise therapy, I used gene set enrichment analysis and found that markers of hypoxia are decreased in tumors of mice that have exercised compared to those that were sedentary during the experiment. Using immunofluorescence, we confirmed that there is a decrease in hypoxia in tumors of mice that have exercised, giving one explanation for the decrease in tumor growth and aggressiveness in mice that exercise compared to those that are sedentary.
Item Open Access Preclinical Testing of a Novel Niclosamide Stearate Prodrug Therapeutic (NSPT) Shows Efficacy Against Osteosarcoma.(Molecular cancer therapeutics, 2020-07) Reddy, Gireesh B; Kerr, David L; Spasojevic, Ivan; Tovmasyan, Artak; Hsu, David S; Brigman, Brian E; Somarelli, Jason A; Needham, David; Eward, William CTherapeutic advances for osteosarcoma have stagnated over the past several decades, leading to an unmet clinical need for patients. The purpose of this study was to develop a novel therapy for osteosarcoma by reformulating and validating niclosamide, an established anthelminthic agent, as a niclosamide stearate prodrug therapeutic (NSPT). We sought to improve the low and inefficient clinical bioavailability of oral dosing, especially for the relatively hydrophobic classes of anticancer drugs. Nanoparticles were fabricated by rapid solvent shifting and verified using dynamic light scattering and UV-vis spectrophotometry. NSPT efficacy was then studied in vitro for cell viability, cell proliferation, and intracellular signaling by Western blot analysis; ex vivo pulmonary metastatic assay model; and in vivo pharmacokinetic and lung mouse metastatic model of osteosarcoma. NSPT formulation stabilizes niclosamide stearate against hydrolysis and delays enzymolysis; increases circulation in vivo with t 1/2 approximately 5 hours; reduces cell viability and cell proliferation in human and canine osteosarcoma cells in vitro at 0.2-2 μmol/L IC50; inhibits recognized growth pathways and induces apoptosis at 20 μmol/L; eliminates metastatic lesions in the ex vivo lung metastatic model; and when injected intravenously at 50 mg/kg weekly, it prevents metastatic spread in the lungs in a mouse model of osteosarcoma over 30 days. In conclusion, niclosamide was optimized for preclinical drug delivery as a unique prodrug nanoparticle injected intravenously at 50 mg/kg (1.9 mmol/L). This increased bioavailability of niclosamide in the blood stream prevented metastatic disease in the mouse. This chemotherapeutic strategy is now ready for canine trials, and if successful, will be targeted for human trials in patients with osteosarcoma.Item Open Access Single-Cell Transcriptomics Reveals Heterogeneity and Drug Response of Human Colorectal Cancer Organoids.(Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2018-07) Chen, Kai-Yuan; Srinivasan, Tara; Lin, Christopher; Tung, Kuei-Ling; Gao, Ziyang; Hsu, David S; Lipkin, Steven M; Shen, XilingOrganoids are three-dimensional cell cultures that mimic organ functions and structures. The organoid model has been developed as a versatile in vitro platform for stem cell biology and diseases modeling. Tumor organoids are shown to share ~ 90% of genetic mutations with biopsies from same patients. However, it's not clear whether tumor organoids recapitulate the cellular heterogeneity observed in patient tumors. Here, we used single-cell RNA-Seq to investigate the transcriptomics of tumor organoids derived from human colorectal tumors, and applied machine learning methods to unbiasedly cluster subtypes in tumor organoids. Computational analysis reveals cancer heterogeneity sustained in tumor organoids, and the subtypes in organoids displayed high diversity. Furthermore, we treated the tumor organoids with a first-line cancer drug, Oxaliplatin, and investigated drug response in single-cell scale. Diversity of tumor cell populations in organoids were significantly perturbed by drug treatment. Single-cell analysis detected the depletion of chemosensitive subgroups and emergence of new drug tolerant subgroups after drug treatment. Our study suggests that the organoid model is capable of recapitulating clinical heterogeneity and its evolution in response to chemotherapy.