Aaron M. Horning
University of Texas Health Science Center at San Antonio
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Publication
Featured researches published by Aaron M. Horning.
The Prostate | 2014
Pawel A. Osmulski; Devalingam Mahalingam; Maria Gaczynska; Susan Huang; Aaron M. Horning; Chiou Miin Wang; Ian M. Thompson; Tim H M Huang; Chun Liang Chen
Emerging evidence shows that nanomechanical phenotypes of circulating tumor cells (CTC) could become potential biomarkers for metastatic castration resistant prostate cancer (mCRPC).
Oral Oncology | 2016
Cara B. Gonzales; Jorge J. De La Chapa; Pothana Saikumar; Prajjal K. Singha; Nicholas F. Dybdal-Hargreaves; Jeffery Chavez; Aaron M. Horning; Jamie Parra; Nameer B. Kirma
Squamous cell carcinoma (SCC) comprises 90% of all head and neck cancers and has a poor survival rate due to late-stage disease that is refractive to traditional therapies. Epidermal growth factor receptor (EGFR) is over-expressed in greater than 80% of head and neck SCC (HNSCC). However, EGFR targeted therapies yielded little to no efficacy in clinical trials. This study investigated the efficacy of co-targeting EGFR and the anaplastic lymphoma kinase (ALK) whose promoter is hypomethylated in late-stage oral SCC (OSCC). We observed increased ALK activity in late-stage human OSCC tumors and invasive OSCC cell lines. We also found that while ALK inhibition alone had little effect on proliferation, co-targeting ALK and EGFR significantly reduced OSCC cell proliferation in vitro. Further analysis showed significant efficacy of combined treatment in HSC3-derived xenografts resulting in a 30% decrease in tumor volumes by 14days (p<0.001). Western blot analysis showed that co-targeting ALK and EGFR significantly reduced EGFR phosphorylation (Y1148) in HSC3 cells but not Cal27 cells. ALK and EGFR downstream signaling interactions are also demonstrated by Western blot analysis in which lone EGFR and ALK inhibitors attenuated AKT activity whereas co-targeting ALK and EGFR completely abolished AKT activation. No effects were observed on ERK1/2 activation. STAT3 activity was significantly induced by lone ALK inhibition in HSC3 cells and to a lower extent in Cal27 cells. Together, these data illustrate that ALK inhibitors enhance anti-tumor activity of EGFR inhibitors in susceptible tumors that display increased ALK expression, most likely through abolition of AKT activation.
Nucleic Acids Research | 2016
Benjamin Sunkel; Dayong Wu; Zhong Chen; Chiou Miin Wang; Xiangtao Liu; Zhenqing Ye; Aaron M. Horning; Devalingam Mahalingam; Horacio D. Lopez-Nicora; Chun Lin Lin; Paul J. Goodfellow; Steven K. Clinton; Victor X. Jin; Chun Liang Chen; Tim H M Huang; Qianben Wang
Identifying prostate cancer-driving transcription factors (TFs) in addition to the androgen receptor promises to improve our ability to effectively diagnose and treat this disease. We employed an integrative genomics analysis of master TFs CREB1 and FoxA1 in androgen-dependent prostate cancer (ADPC) and castration-resistant prostate cancer (CRPC) cell lines, primary prostate cancer tissues and circulating tumor cells (CTCs) to investigate their role in defining prostate cancer gene expression profiles. Combining genome-wide binding site and gene expression profiles we define CREB1 as a critical driver of pro-survival, cell cycle and metabolic transcription programs. We show that CREB1 and FoxA1 co-localize and mutually influence each others binding to define disease-driving transcription profiles associated with advanced prostate cancer. Gene expression analysis in human prostate cancer samples found that CREB1/FoxA1 target gene panels predict prostate cancer recurrence. Finally, we showed that this signaling pathway is sensitive to compounds that inhibit the transcription co-regulatory factor MED1. These findings not only reveal a novel, global transcriptional co-regulatory function of CREB1 and FoxA1, but also suggest CREB1/FoxA1 signaling is a targetable driver of prostate cancer progression and serves as a biomarker of poor clinical outcomes.
Cancer Research | 2017
Aaron M. Horning; Yao Wang; Che Kuang Lin; Anna D. Louie; Rohit R. Jadhav; Chia Nung Hung; Chiou Miin Wang; Chun Lin Lin; Nameer B. Kirma; Michael A. Liss; Addanki P. Kumar; Lu-Zhe Sun; Zhijie Liu; Wei Ting Chao; Qianben Wang; Victor X. Jin; Chun Liang Chen; Tim H M Huang
Increasing evidence suggests the presence of minor cell subpopulations in prostate cancer that are androgen independent and poised for selection as dominant clones after androgen deprivation therapy. In this study, we investigated this phenomenon by stratifying cell subpopulations based on transcriptome profiling of 144 single LNCaP prostate cancer cells treated or untreated with androgen after cell-cycle synchronization. Model-based clustering of 397 differentially expressed genes identified eight potential subpopulations of LNCaP cells, revealing a previously unappreciable level of cellular heterogeneity to androgen stimulation. One subpopulation displayed stem-like features with a slower cell doubling rate, increased sphere formation capability, and resistance to G2-M arrest induced by a mitosis inhibitor. Advanced growth of this subpopulation was associated with enhanced expression of 10 cell-cycle-related genes (CCNB2, DLGAP5, CENPF, CENPE, MKI67, PTTG1, CDC20, PLK1, HMMR, and CCNB1) and decreased dependence upon androgen receptor signaling. In silico analysis of RNA-seq data from The Cancer Genome Atlas further demonstrated that concordant upregulation of these genes was linked to recurrent prostate cancers. Analysis of receiver operating characteristic curves implicates aberrant expression of these genes and could be useful for early identification of tumors that subsequently develop biochemical recurrence. Moreover, this single-cell approach provides a better understanding of how prostate cancer cells respond heterogeneously to androgen deprivation therapies and reveals characteristics of subpopulations resistant to this treatment.Significance: Illustrating the challenge in treating cancers with targeted drugs, which by selecting for drug resistance can drive metastatic progression, this study characterized the plasticity and heterogeneity of prostate cancer cells with regard to androgen dependence, defining the character or minor subpopulations of androgen-independent cells that are poised for clonal selection after androgen-deprivation therapy. Cancer Res; 78(4); 853-64. ©2017 AACR.
International Journal of Molecular Sciences | 2018
Huiyoung Yun; Roble Bedolla; Aaron M. Horning; Rong Li; Huai-Chin Chiang; Tim-H Huang; Robert L. Reddick; Aria F. Olumi; Rita Ghosh; Addanki P. Kumar
COBRA1 (co-factor of BRCA1) is one of the four subunits of the negative elongation factor originally identified as a BRCA1-interacting protein. Here, we provide first-time evidence for the oncogenic role of COBRA1 in prostate pathogenesis. COBRA1 is aberrantly expressed in prostate tumors. It positively influences androgen receptor (AR) target gene expression and promoter activity. Depletion of COBRA1 leads to decreased cell viability, proliferation, and anchorage-independent growth in prostate cancer cell lines. Conversely, overexpression of COBRA1 significantly increases cell viability, proliferation, and anchorage-independent growth over the higher basal levels. Remarkably, AR-positive androgen dependent (LNCaP) cells overexpressing COBRA1 survive under androgen-deprivation conditions. Remarkably, treatment of prostate cancer cells with well-studied antitumorigenic agent, 2-methoxyestradiol (2-ME2), caused significant DNA methylation changes in 3255 genes including COBRA1. Furthermore, treatment of prostate cancer cells with 2-ME2 downregulates COBRA1 and inhibition of prostate tumors in TRAMP (transgenic adenocarcinomas of mouse prostate) animals with 2-ME2 was also associated with decreased COBRA1 levels. These observations implicate a novel role for COBRA1 in progression to CRPC and suggest that COBRA1 downregulation has therapeutic potential.
Cancer Research | 2014
Chun Liang Chen; Pawel A. Osmulski; Devalingam Mahalingam; Aaron M. Horning; Rohit R. Jadhav; Anna D. Louie; Chiou-Miin Wang; Tim H M Huang
Approximately 30% of prostate cancer (PCa) patients who receive androgen-deprivation therapy experience disease progression, including bone metastasis, in 18-36 months. Clinical diagnosis of this castration resistance is primarily based on a continuous rise in serum PSA levels during therapy. However, the underlying disease progression predates the clinical onset of castration resistance by many months. The clinical challenge is to distinguish indolent vs aggressive cancer for better disease management. During the prostate cancer progression, malignant circulating tumor cells (CTC) shed from the primary site into the bloodstream through epigenetic modifications and an epithelial-to-mesenchymal transition (EMT). Evidence suggests that increased CTCs are present in the blood of castration-resistant PCa patients and can be obtained through routine phlebotomy. EMT changes of CTCs present a great potential for disease prognosis, treatment stratification and subsequent disease monitoring. We have recently established the combined microfiltration-micromanipulation system (CM2S) to enrich prostate CTCs from blood as published in The Prostate. Our preliminary studies based on a relatively small sample size show that CTCs isolated from advanced PCa patients often lose the typical features of prostate epithelial cells and display incremental EMT-related gene expression signatures, higher elasticity and smoother membrane features. Furthermore, incremental expression of these genes and particular nanomechanical features in CTCs are associated with castration-resistant and metastatic PCa. In this study, we would like expand the sample size to clinically develop this methodology. CTCs were isolated from patients9 blood (∼15 ml) using microfiltration system (ScreenCell). We analyzed castration-sensitive (CS) and castration-resistant (CR) PCa cells and CTCs using high throughput microfluidic single-cell RT-PCR. The data were subject to hierarchical clustering, violin plot and Ingenuity Pathway Analysis (IPA). Increased expression of EMT genes was found in CR PCa cells and CTCs as compared to CS counterparts. IPA indicated that these EMT genes are closely related to AKT, β-catenin, Myc and NFκB pathways. Some of CTCs isolated from patients were subject to nanomechanical and nanochemical analysis using PeakForce QNM Catalyst atomic force microscopy (AFM) (Bruker). CTCs of CR patients are about 3 fold more elastic and 7 fold more adherent than CTCs of CS patients. Additionally, CTCs of CR patients are about 3 fold more deformable than CTCs of CS patients. In conclusion, we confirmed our previous study with a larger patient sample size. The increased expression of EMT-related genes and nanomechanical and nanochemical phenotypes in CTCs are potential biomarkers for detection of the castration-resistant PCa, treatment stratification and subsequent disease monitoring. Citation Format: Chun-Liang Chen, Pawel Osmulski, Devalingam Mahalingam, Aaron M. Horning, Rohit R. Jadhav, Anna D. Louie, Chiou-Miin Wang, Tim H.-M. Huang. Epithelial-to-mesenchymal markers of circulating tumor cells for detection of castration-resistant prostate cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 5588. doi:10.1158/1538-7445.AM2014-5588
The Prostate | 2015
Aaron M. Horning; Julius Adebayo Awe; Chiou Miin Wang; Zhao Lai; Vickie Yao Wang; Rohit R. Jadhav; Anna D. Louie; Chun Lin Lin; Tad Kroczak; Yidong Chen; Victor X. Jin; Sherry L. Abboud-Werner; Robin J. Leach; Javior Hernandez; Ian M. Thompson; Jeff Saranchuk; Darrel Drachenberg; Chun Liang Chen; Sabine Mai; Tim H M Huang
Cancer Research | 2018
Aaron M. Horning; Che-Kuang Lin; Yao Wang; Brandon Lieberman; Devalingam Mahalingam; Ming Gao; Pei Wang; Chiou-Miin Wang; Zhijie Liu; Jianhua Ruan; Michael A. Liss; Victor X. Jin; Tim H-M. Huang; Chun Liang Chen
Biophysical Journal | 2017
Yen-Liang Liu; Aaron M. Horning; Evan P. Perillo; Cong Liu; Mirae Kim; Rohan Vasisht; Hannah Horng; Andrew K. Dunn; Chun Liang Chen; Hsin-Chih Yeh
Archive | 2016
Devalingam Mahalingam; Pawel A. Osmulski; Chiou-Miin Wang; Aaron M. Horning; Anna D. Louie; Chun-Lin Lin; Maria Gaczynska; Chun Liang Chen
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Dive into the Aaron M. Horning's collaboration.
University of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
View shared research outputsUniversity of Texas Health Science Center at San Antonio
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