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Dive into the research topics where Bradford K. Harris is active.

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Featured researches published by Bradford K. Harris.


Molecular & Cellular Proteomics | 2012

In-depth Proteomic Analysis of Nonsmall Cell Lung Cancer to Discover Molecular Targets and Candidate Biomarkers

Takefumi Kikuchi; Mohamed Hassanein; Joseph M. Amann; Qinfeng Liu; Robbert J. C. Slebos; S. M. Jamshedur Rahman; Jacob M. Kaufman; Xueqiong Zhang; Megan D. Hoeksema; Bradford K. Harris; Ming Li; Yu Shyr; Adriana Gonzalez; Lisa J. Zimmerman; Daniel C. Liebler; Pierre P. Massion; David P. Carbone

Advances in proteomic analysis of human samples are driving critical aspects of biomarker discovery and the identification of molecular pathways involved in disease etiology. Toward that end, in this report we are the first to use a standardized shotgun proteomic analysis method for in-depth tissue protein profiling of the two major subtypes of nonsmall cell lung cancer and normal lung tissues. We identified 3621 proteins from the analysis of pooled human samples of squamous cell carcinoma, adenocarcinoma, and control specimens. In addition to proteins previously shown to be implicated in lung cancer, we have identified new pathways and multiple new differentially expressed proteins of potential interest as therapeutic targets or diagnostic biomarkers, including some that were not identified by transcriptome profiling. Up-regulation of these proteins was confirmed by multiple reaction monitoring mass spectrometry. A subset of these proteins was found to be detectable and differentially present in the peripheral blood of cases and matched controls. Label-free shotgun proteomic analysis allows definition of lung tumor proteomes, identification of biomarker candidates, and potential targets for therapy.


International Journal of Cancer | 2015

Targeting SLC1a5‐mediated glutamine dependence in non‐small cell lung cancer

Mohamed Hassanein; Megan D. Hoeksema; Jing Wang; Marie Jacobovitz; Xiangming Ji; Fredrick T. Harris; Bradford K. Harris; Kelli L. Boyd; Heidi Chen; Rosana Eisenberg; Pierre P. Massion

We previously elucidated the pleotropic role of solute carrier family A1 member 5 (SLC1A5) as the primary transporter of glutamine (Gln), a modulator of cell growth and oxidative stress in non‐small cell lung cancer (NSCLC). The aim of our study was to evaluate SLC1A5 as a potential new therapeutic target and candidate biomarker predictive of survival and response to therapy. SLC1A5 targeting was examined in a panel of NSCLC and human bronchial cell lines by RNA interference and by a small molecular inhibitor, gamma‐l‐glutamyl‐p‐nitroanilide (GPNA). The effects of targeting SLC1A5 on cell growth, Gln uptake, ATP level, autophagy and cell death were examined. Inactivation of SLC1A5 genetically or pharmacologically decreased Gln consumption, inhibited cell growth, induced autophagy and apoptosis in a subgroup of NSCLC cell lines that overexpress SLC1A5. Targeting SLC1A5 function decreased tumor growth in NSCLC xenografts. A multivariate Cox proportional hazards analysis indicates that patients with increased SLC1A5 mRNA expression have significantly shorter overall survival (p = 0.01, HR = 1.24, 95% CI: 1.05–1.46), adjusted for age, gender, smoking history and disease stage. In an immunohistochemistry study on 207 NSCLC patients, SLC1A5 protein expression remained highly significant prognostic value in both univariate (p < 0.0001, HR = 1.45, 95% CI: 1.15–1.50) and multivariate analyses (p = 0.04, HR = 1.22, 95% CI: 1.01–1.31). These results position SLC1A5 as a new candidate prognostic biomarker for selective targeting of Gln‐dependent NSCLC.


Proceedings of the National Academy of Sciences of the United States of America | 2015

The RNA binding protein FXR1 is a new driver in the 3q26-29 amplicon and predicts poor prognosis in human cancers

Mohamed Hassanein; Megan D. Hoeksema; Bradford K. Harris; Yong Zou; Heidi Chen; Pengcheng Lu; Rosana Eisenberg; Jing Wang; Allan V. Espinosa; Xiangming Ji; Fredrick T. Harris; S. M. Jamshedur Rahman; Pierre P. Massion

Significance Altered expression of RNA binding proteins might contribute to cancer development. This study reveals the functional implications and clinical relevance of FXR1, an RNA binding protein, in non-small cell lung cancer (NSCLC). Our results demonstrate that FXR1 promotes tumor progression by regulating two other oncogenes within the same chromosome 3q amplicon. To drive tumor progression, FXR1 forms a new complex with protein kinase C, iota, and posttranscriptionally stabilizes the expression of epithelial cell transforming 2. We show that increased FXR1 expression in NSCLC is a candidate biomarker predictive of poor survival and might represent a novel therapeutic target. In addition, FXR1 expression correlates with poor clinical outcome in multiple human cancers, suggesting broader implications of this RNA binding protein in cancer progression. Aberrant expression of RNA-binding proteins has profound implications for cellular physiology and the pathogenesis of human diseases such as cancer. We previously identified the Fragile X-Related 1 gene (FXR1) as one amplified candidate driver gene at 3q26-29 in lung squamous cell carcinoma (SCC). FXR1 is an autosomal paralog of Fragile X mental retardation 1 and has not been directly linked to human cancers. Here we demonstrate that FXR1 is a key regulator of tumor progression and its overexpression is critical for nonsmall cell lung cancer (NSCLC) cell growth in vitro and in vivo. We identified the mechanisms by which FXR1 executes its regulatory function by forming a novel complex with two other oncogenes, protein kinase C, iota and epithelial cell transforming 2, located in the same amplicon via distinct binding mechanisms. FXR1 expression is a candidate biomarker predictive of poor survival in multiple solid tumors including NSCLCs. Because FXR1 is overexpressed and associated with poor clinical outcomes in multiple cancers, these results have implications for other solid malignancies.


Cancer Prevention Research | 2016

Inhibition of the biosynthesis of prostaglandin E2 by low dose aspirin: implications for adenocarcinoma metastasis

Olivier Boutaud; I. Romina Sosa; Taneem Amin; Denise Oram; David H. Adler; Hyun Seok Hwang; Brenda C. Crews; Ginger L. Milne; Bradford K. Harris; Megan D. Hoeksema; Björn C. Knollmann; Philip E. Lammers; Lawrence J. Marnett; Pierre P. Massion; John A. Oates

Meta-analyses have demonstrated that low-dose aspirin reduces the risk of developing adenocarcinoma metastasis, and when colon cancer is detected during aspirin treatment, there is a remarkable 83% reduction in risk of metastasis. As platelets participate in the metastatic process, the antiplatelet action of low-dose aspirin likely contributes to its antimetastatic effect. Cycloxooxygenase-2 (COX-2)–derived prostaglandin E2 (PGE2) also contributes to metastasis, and we addressed the hypothesis that low-dose aspirin also inhibits PGE2 biosynthesis. We show that low-dose aspirin inhibits systemic PGE2 biosynthesis by 45% in healthy volunteers (P < 0.0001). Aspirin is found to be more potent in colon adenocarcinoma cells than in the platelet, and in lung adenocarcinoma cells, its inhibition is equivalent to that in the platelet. Inhibition of COX by aspirin in colon cancer cells is in the context of the metastasis of colon cancer primarily to the liver, the organ exposed to the same high concentrations of aspirin as the platelet. We find that the interaction of activated platelets with lung adenocarcinoma cells upregulates COX-2 expression and PGE2 biosynthesis, and inhibition of platelet COX-1 by aspirin inhibits PGE2 production by the platelet–tumor cell aggregates. In conclusion, low-dose aspirin has a significant effect on extraplatelet cyclooxygenase and potently inhibits COX-2 in lung and colon adenocarcinoma cells. This supports a hypothesis that the remarkable prevention of metastasis from adenocarcinomas, and particularly from colon adenocarcinomas, by low-dose aspirin results from its effect on platelet COX-1 combined with inhibition of PGE2 biosynthesis in metastasizing tumor cells. Cancer Prev Res; 9(11); 855–65. ©2016 AACR.


JCI insight | 2016

The airway epithelium undergoes metabolic reprogramming in individuals at high risk for lung cancer

S. M. Jamshedur Rahman; Xiangming Ji; Lisa J. Zimmerman; Ming Li; Bradford K. Harris; Megan D. Hoeksema; Irina A. Trenary; Yong Zou; Robbert J. C. Slebos; Jennifer Beane; Avrum Spira; Yu Shyr; Rosana Eisenberg; Daniel C. Liebler; Jamey D. Young; Pierre P. Massion

The molecular determinants of lung cancer risk remain largely unknown. Airway epithelial cells are prone to assault by risk factors and are considered to be the primary cell type involved in the field of cancerization. To investigate risk-associated changes in the bronchial epithelium proteome that may offer new insights into the molecular pathogenesis of lung cancer, proteins were identified in the airway epithelial cells of bronchial brushing specimens from risk-stratified individuals by shotgun proteomics. Differential expression of selected proteins was validated by parallel reaction monitoring mass spectrometry in an independent set of individual bronchial brushings. We identified 2,869 proteins, of which 312 proteins demonstrated a trend in expression. Pathway analysis revealed enrichment of carbohydrate metabolic enzymes in high-risk individuals. Glucose consumption and lactate production were increased in human bronchial epithelial BEAS2B cells treated with cigarette smoke condensate for 7 months. Increased lipid biosynthetic capacity and net reductive carboxylation were revealed by metabolic flux analyses of [U-13C5] glutamine in this in vitro model, suggesting profound metabolic reprogramming in the airway epithelium of high-risk individuals. These results provide a rationale for the development of potentially new chemopreventive strategies and selection of patients for surveillance programs.


Oncogene | 2018

xCT (SLC7A11)-mediated metabolic reprogramming promotes non-small cell lung cancer progression

Xiangming Ji; S. M. Jamshedur Rahman; Peter J. Siska; Yong Zou; Bradford K. Harris; Megan D. Hoeksema; Irina A. Trenary; Chen Heidi; Rosana Eisenberg; Jeffrey C. Rathmell; Jamey D. Young; Pierre P. Massion

Many tumors increase uptake and dependence on glucose, cystine or glutamine. These basic observations on cancer cell metabolism have opened multiple new diagnostic and therapeutic avenues in cancer research. Recent studies demonstrated that smoking could induce the expression of xCT (SLC7A11) in oral cancer cells, suggesting that overexpression of xCT may support lung tumor progression. We hypothesized that overexpression of xCT occurs in lung cancer cells to satisfy the metabolic requirements for growth and survival. Our results demonstrated that 1) xCT was highly expressed at the cytoplasmic membrane in non-small cell lung cancer (NSCLC), 2) the expression of xCT was correlated with advanced stage and predicted a worse 5-year survival, 3) targeting xCT transport activity in xCT overexpressing NSCLC cells with sulfasalazine decreased cell proliferation and invasion in vitro and in vivo and 4) increased dependence on glutamine was observed in xCT overexpressed normal airway epithelial cells. These results suggested that xCT regulate metabolic requirements during lung cancer progression and be a potential therapeutic target in NSCLC.


International Journal of Cancer | 2018

Somatostatin receptor 2 signaling promotes growth and tumor survival in small-cell lung cancer: Role of SSTR2 in neuroendocrine lung cancer progression

Jonathan M. Lehman; Megan D. Hoeksema; Jeremy Staub; Bradford K. Harris; J. Clay Callison; Jennifer Miao; Chanjuan Shi; Rosana Eisenberg; Heidi Chen; Sheau-Chiann Chen; Pierre P. Massion

Somatostatin receptor 2 (SSTR2) is overexpressed in a majority of neuroendocrine neoplasms, including small‐cell lung carcinomas (SCLCs). SSTR2 was previously considered an inhibitory receptor on cell growth, but its agonists had poor clinical responses in multiple clinical trials. The role of this receptor as a potential therapeutic target in lung cancer merits further investigation. We evaluated the expression of SSTR2 in a cohort of 96 primary tumors from patients with SCLC and found 48% expressed SSTR2. Correlation analysis in both CCLE and an SCLC RNAseq cohort confirmed high‐level expression and identified an association between NEUROD1 and SSTR2. There was a significant association with SSTR2 expression profile and poor clinical outcome. We tested whether SSTR2 expression might contribute to tumor progression through activation of downstream signaling pathways, using in vitro and in vivo systems and downregulated SSTR2 expression in lung cancer cells by shRNA. SSTR2 downregulation led to increased apoptosis and dramatically decreased tumor growth in vitro and in vivo in multiple cell lines with decreased AMPKα phosphorylation and increased oxidative metabolism. These results demonstrate a role for SSTR2 signaling in SCLC and suggest that SSTR2 is a poor prognostic biomarker in SCLC and potential future therapeutic signaling target.


Cancer Research | 2017

Abstract 3935: Dissecting small cell lung carcinoma heterogeneity and chemotherapy resistance with mass cytometry

Jonathan M. Lehman; Nalin Leelatian; Bradford K. Harris; Megan D. Hoeksema; Zou Yong; Deon B. Doxie; Jonathan M. Irish; Pierre P. Massion

Introduction: Small cell lung cancer (SCLC) is a high grade neuroendocrine carcinoma of the lung responsible for up to 25% of lung cancer deaths. Treatment in SCLC has not changed significantly in the last 20 years. SCLC initially responds well to chemotherapy, but inevitably recurs. Characterization of tumor heterogeneity and changes in SCLC cell signaling and phenotypes after chemotherapy could yield new insights and therapeutic options. Mass cytometry uses metal labeled antibodies to profile expression and phosphorylation of more than 40 proteins in single cells and offers the opportunity to identify new subpopulations including potential cancer stem cell populations as well as targets for novel therapies in SCLC. Methods: Nude mice with SCLC patient derived xenografts (PDXs) were treated with one cycle of carboplatin/etoposide or saline injection. Tumors were harvested at ~2000mm3, disaggregated, and cryopreserved. PDX samples were stained with a 22 marker panel and an intercalator dye to identify nucleated cells. This panel measured phospho-signaling, neuroendocrine, immune, and mesenchymal cell markers, and functional markers including ki67 and cleaved caspase 3. ViSNE analysis and biaxial gating were used to identify major subpopulations of interest. Results: PDX tumors released viable tumor and stromal cells suitable for cryopreservation and mass cytometry. ACK buffer and enzymatic dissociation yielded the best quality cells by depleting red blood cells. Mouse cells, including leukocytes, were excluded using mouse MHC1 gating and iridium intercalator was used to identify nucleated cells. Single cell protein expression and phosphorylation was analyzed using viSNE and yielded at least 9 distinct subpopulations based on density islands with neuroendocrine (CD56+) and non-neuroendocrine (CD56-) populations. Chemotherapy treated cells had dramatic changes in subpopulation distribution compared to matched mock treated tumor. This included 2-3 fold expansion of SOX2+, CD117+, and pSTAT3+ populations with chemotherapy treatment. A small CD44+ tumor subpopulation identified in the chemotherapy treated cells was not present in the matched mock treated tumor suggesting a potential chemotherapy resistant/ stem- like subpopulation. Kinase activity showed stable p-AKT overall, but increased p-S6 in the chemotherapy treated cells. Conclusions: Mass cytometry was able to identify multiple neuroendocrine and non-neuroendocrine cell populations from SCLC PDXs and characterize their signaling. Chemotherapy treated PDX had differential subpopulation distribution with enrichment of multiple stem-like signaling factors. This work demonstrates the utility of mass cytometry and viSNE as novel techniques to identify subpopulations associated with chemotherapy resistance for future targeting and demonstrates the feasibility of this technique for characterizing signaling heterogeneity in human SCLC tumors. Citation Format: Jonathan M. Lehman, Nalin Leelatian, Bradford Harris, Megan Hoeksema, Zou Yong, Deon B. Doxie, Jonathan M. Irish, Pierre P. Massion. Dissecting small cell lung carcinoma heterogeneity and chemotherapy resistance with mass cytometry [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3935. doi:10.1158/1538-7445.AM2017-3935


Cancer Research | 2016

Abstract 2873: Identification of FXR1-associated protein complexes in lung cancer

Yong Zou; Megan D. Hoeksema; Bradford K. Harris; Heidi Chen; Pierre P. Massion

RNA-binding proteins (RBPs) are the master regulators of mRNA processing and translation and are often aberrantly expressed in cancer. We have recently identified Fragile X Mental Retardation-Related 1 (FXR1) as a novel cancer gene in non-small cell lung cancer (NSCLC) and its expression is correlated with poor prognosis in multiple human cancers. FXR1 encodes an RNA binding protein (RBP) that belongs to the family of fragile X-related proteins including the fragile X mental retardation protein (FMR1) and FXR2. Inactivation of FMR1 expression is the cause of the Fragile X syndrome in humans. Little is known for the function of FXR1 in human cancers. In this study, endogenous FXR1 or a Flag-tagged FXR1 was immunoprecipitated from H520, a lung squamous carcinoma cell line, and analyzed by shotgun proteomics. The Flag-tagged FXR1 was also transfected into human HEK293 cells and followed by co-immunoprecipitation and shotgun proteomic analysis. In total we found 206 proteins enriched in H520 with more than two-fold change spectral counts over the IgG control. Of the 206 proteins, 49 were detected in HEK293 cells as well and 157 were only detected in H520. KEGG pathway analysis indicated enrichment of proteins involved in ribosomal function, RNA transport and proteasome. To identify lung cancer related proteins, we interrogated the mRNA expression of 206 proteins in The Cancer Genome Atlas (TCGA) lung cancer dataset (1013 tumors,109 normal), in a combined NSCLC dataset (1392 tumors, 240 normal) from the Gene Expression Omnibus (GEO) and in a previously reported dataset of putative FXR1 target mRNAs and found 75 altered genes in common. Among these, we found that 24 genes were not only unregulated in all NSCLC samples (n = 2405, FDR Citation Format: Jun Qian, Yong Zou, Megan Hoeksema, Bradford Harris, Heidi Chen, Pierre Massion. Identification of FXR1-associated protein complexes in lung cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2873.


Cancer Prevention Research | 2015

Abstract PR05: Low dose aspirin that reduces mortality from lung adenocarcinoma inhibits both platelet COX-1 and the biosynthesis of PGE2

John A. Oates; Pierre P. Massion; Björn C. Knollmann; James P. Smith; Elias V. Haddad; Philip E. Lammers; Denise Oram; Taneem Amin; Bradford K. Harris; Megan D. Hoeksema; Hyun Seok Hwang

Background: Meta-analysis of the trials evaluating the effect of aspirin on cardiovascular outcomes demonstrated that aspirin prevented mortality from adenocarcinomas by 47% and reduced metastasis by 46%. Equivalent benefit was seen with both high and low doses of aspirin. We hypothesize that low dose aspirin blocks metastasis by inhibiting platelet COX-1 and also by inhibiting the biosynthesis of the pro-metastatic PGE2. Methods and Results: The effect of a range of doses of aspirin on PGE2 biosynthesis in three lung adenocarcinoma cell lines was compared with that in washed platelets. PGE2 was measured by GC/MS. In the cancer cell lines, aspirin inhibits COX-2-dependent PGE2 production with IC50s equivalent to or less than that for platelet COX-1. The IC50s were: Platelet = 19.8 ± 1.5 μM; H2122 = 19.5 ± 5 μM; HCC827 = 3.9 ± 2 μM; A549 = 1.6 ± 0.4 μM. To explore the extra-platelet effects of low dose aspirin in vivo, we examined the effect of aspirin 81 mg daily for 2 weeks on the biosynthesis of PGE2 and prostacyclin as reflected by their respective urinary metabolites in 54 healthy humans. The PGE2 metabolite was measured by LC/MS/MS and the prostacyclin metabolite by GC/MS. This dose of aspirin inhibited PGE2 production by 45% (p Adherence of platelets to tumor cells facilitates metastasis. We determined the effect of adherence of ADP-activated washed platelets to lung adenocarcinoma cells (A549) on the PGE2 biosynthetic pathway. COX-2 expression was determined by Western blot, and cytosolic calcium by Fura-2 AM. Activated platelets increased cytosolic calcium in A549 cells by 22% (p Conclusion: These findings form the basis for a hypothesis that the remarkable effect of low dose aspirin on adenocarcinoma prevention and reduction in metastatic behavior could result from inhibition of platelet activation in concert with inhibition of platelet-induced PGE2 biosynthesis and direct inhibition of the catalytic activity COX-2 in circulating tumor cells. Work funded by the Thoracic Program of the Vanderbilt Ingram Cancer Center Citation Format: John Oates, Pierre Massion, Bjorn Knollmann, James Smith, Elias Haddad, Philip Lammers, Denise Oram, Taneem Amin, Bradford Harris, Megan Hoeksema, Hyun Hwang. Low dose aspirin that reduces mortality from lung adenocarcinoma inhibits both platelet COX-1 and the biosynthesis of PGE2. [abstract]. In: Proceedings of the Thirteenth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2014 Sep 27-Oct 1; New Orleans, LA. Philadelphia (PA): AACR; Can Prev Res 2015;8(10 Suppl): Abstract nr PR05.

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Yong Zou

Vanderbilt University

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