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Dive into the research topics where Dexiang Gao is active.

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Featured researches published by Dexiang Gao.


Clinical Cancer Research | 2014

FGFR1 mRNA and Protein Expression, not Gene Copy Number, Predict FGFR TKI Sensitivity across All Lung Cancer Histologies

Murry W. Wynes; Trista K. Hinz; Dexiang Gao; Martini M; Lindsay Marek; Ware Ke; Michael G. Edwards; Böhm D; Sven Perner; Barbara Helfrich; Rafal Dziadziuszko; Jacek Jassem; Wojtylak S; Sejda A; Joseph M. Gozgit; Paul A. Bunn; D.R. Camidge; Aik Choon Tan; Fred R. Hirsch; Lynn E. Heasley

Purpose: FGFR1 gene copy number (GCN) is being evaluated as a biomarker for FGFR tyrosine kinase inhibitor (TKI) response in squamous cell lung cancers (SCC). The exclusive use of FGFR1 GCN for predicting FGFR TKI sensitivity assumes increased GCN is the only mechanism for biologically relevant increases in FGFR1 signaling. Herein, we tested whether FGFR1 mRNA and protein expression may serve as better biomarkers of FGFR TKI sensitivity in lung cancer. Experimental Design: Histologically diverse lung cancer cell lines were submitted to assays for ponatinib sensitivity, a potent FGFR TKI. A tissue microarray composed of resected lung tumors was submitted to FGFR1 GCN, and mRNA analyses and the results were validated with The Cancer Genome Atlas (TCGA) lung cancer data. Results: Among 58 cell lines, 14 exhibited ponatinib sensitivity (IC50 values ≤ 50 nmol/L) that correlated with FGFR1 mRNA and protein expression, but not with FGFR1 GCN or histology. Moreover, ponatinib sensitivity associated with mRNA expression of the ligands, FGF2 and FGF9. In resected tumors, 22% of adenocarcinomas and 28% of SCCs expressed high FGFR1 mRNA. Importantly, only 46% of SCCs with increased FGFR1 GCN expressed high mRNA. Lung cancer TCGA data validated these findings and unveiled overlap of FGFR1 mRNA positivity with KRAS and PIK3CA mutations. Conclusions: FGFR1 dependency is frequent across various lung cancer histologies, and FGFR1 mRNA may serve as a better biomarker of FGFR TKI response in lung cancer than FGFR1 GCN. The study provides important and timely insight into clinical testing of FGFR TKIs in lung cancer and other solid tumor types. Clin Cancer Res; 20(12); 3299–309. ©2014 AACR.


Cancer Research | 2012

Tankyrase and the canonical Wnt pathway protect lung cancer cells from EGFR inhibition

Matias Casás-Selves; Jihye Kim; Zhiyong Zhang; Barbara Helfrich; Dexiang Gao; Christopher C. Porter; Hannah A. Scarborough; Paul A. Bunn; Daniel C.F Chan; Aik Choon Tan; James DeGregori

Lung cancer is the leading cause of death worldwide. Adenocarcinomas, the most common histologic subtype of non-small cell lung cancer (NSCLC), are frequently associated with activating mutations in the epidermal growth factor receptor (EGFR) gene. Although these patients often respond clinically to the EGFR tyrosine kinase inhibitors erlotinib and gefitinib, relapse inevitably occurs, suggesting the development of escape mechanisms that promote cell survival. Using a loss-of-function, whole genome short hairpin RNA (shRNA) screen, we identified that the canonical Wnt pathway contributes to the maintenance of NSCLC cells during EGFR inhibition, particularly the poly-ADP-ribosylating enzymes tankyrase 1 and 2 that positively regulate canonical Wnt signaling. Inhibition of tankyrase and various other components of the Wnt pathway with shRNAs or small molecules significantly increased the efficacy of EGFR inhibitors both in vitro and in vivo. Our findings therefore reveal a critical role for tankyrase and the canonical Wnt pathway in maintaining lung cancer cells during EGFR inhibition. Targeting the Wnt-tankyrase-β-catenin pathway together with EGFR inhibition may improve clinical outcome in patients with NSCLC.


Leukemia | 2012

Integrated genomic analyses identify WEE1 as a critical mediator of cell fate and a novel therapeutic target in acute myeloid leukemia

Christopher C. Porter; Jihye Kim; Susan Fosmire; Gearheart Cm; van Linden A; Baturin D; Zaberezhnyy; Patel Pr; Dexiang Gao; Aik Choon Tan; James DeGregori

Acute myeloid leukemia (AML) remains a therapeutic challenge despite increasing knowledge about the molecular origins of the disease, as the mechanisms of AML cell escape from chemotherapy remain poorly defined. We hypothesized that AML cells are addicted to molecular pathways in the context of chemotherapy and used complementary approaches to identify these addictions. Using novel molecular and computational approaches, we performed genome-wide short-hairpin RNA screens to identify proteins that mediate AML cell fate after cytarabine exposure; gene expression profiling of AML cells exposed to cytarabine to identify genes with induced expression in this context; and examination of existing gene expression data from primary patient samples. Integration of these independent analyses strongly implicates cell-cycle checkpoint proteins, particularly WEE1, as critical mediators of AML cell survival after cytarabine exposure. Knockdown of WEE1 in a secondary screen confirmed its role in AML cell survival. Pharmacologic inhibition of WEE1 in AML cell lines and primary cells is synergistic with cytarabine. Further experiments demonstrate that inhibition of WEE1 prevents S-phase arrest induced by cytarabine, broadening the functions of WEE1 that may be exploited therapeutically. These data highlight the power of integrating functional and descriptive genomics, and identify WEE1 as a potential therapeutic target in AML.


Molecular Oncology | 2012

ALDH+ tumor-initiating cells exhibiting gain in NOTCH1 gene copy number have enhanced regrowth sensitivity to a γ-secretase inhibitor and irinotecan in colorectal cancer

John J. Arcaroli; Rebecca W. Powell; Marileila Varella-Garcia; Martine McManus; Aik Choon Tan; Kevin Quackenbush; Todd M. Pitts; Dexiang Gao; Anna Spreafico; Arvind Dasari; Basel M. Touban; Wells A. Messersmith

The Notch signaling pathway has been shown to be upregulated in colorectal cancer (CRC) and important for the self‐renewal of cancer stem cells. In this study, we evaluated the efficacy of PF‐03084014, a γ‐secretase inhibitor, in combination with irinotecan to identify the effects of treatment on tumor recurrence and the tumor‐initiating population in our CRC preclinical explant model. The combination of PF‐03084014 and irinotecan had the greatest effect at reducing tumor growth on four CRC tumors when compared with treatment with PF‐03084014 or irinotecan alone. The combination significantly reduced tumor recurrence in two CRC explants (CRC001 and CRC036) after treatment was discontinued. Both of these tumors exhibited elevated baseline levels of Notch pathway activation as well as an increase in NOTCH1 gene copy number when compared with the two CRC explants (CRC026 and CRC027) where tumors reappeared quickly after termination of treatment. Isolation and injection of aldehyde dehydrogenase (ALDH+ and ALDH−) cells in an in vivo explant model demonstrated that the ALDH+ cell population were tumorigenic. Evaluation of the ALDH+ cells after 28 days of treatment showed that the combination reduced the ALDH+ population in the tumors that did not regrow. Furthermore, ALDH+ cells from CRC001 and CRC027 were injected in vivo and treated immediately for 28 days. Two months after treatment, tumors were evident in the combination treatment group for CRC027 but not for CRC036. These results indicate the combination of PF‐03084014 and irinotecan may be effective in reducing tumor recurrence in CRC patients whose tumors exhibit elevated levels of the Notch pathway.


Clinical Cancer Research | 2010

Gene Array and Fluorescence In situ Hybridization Biomarkers of Activity of Saracatinib (AZD0530), a Src Inhibitor, in a Preclinical Model of Colorectal Cancer

John J. Arcaroli; Basel M. Touban; Aik Choon Tan; Marileila Varella-Garcia; Rebecca W. Powell; S. Gail Eckhardt; Paul Elvin; Dexiang Gao; Wells A. Messersmith

Purpose: To evaluate the efficacy of saracatinib (AZD0530), an oral Src inhibitor, in colorectal cancer (CRC) and to identify biomarkers that predict antitumor activity. Experimental Design: Twenty-three CRC cell lines were exposed to saracatinib, and baseline gene expression profiles of three sensitive and eight resistant cell lines in vitro and in vivo were used to predict saracatinib sensitivity in an independent group of 10 human CRC explant tumors using the gene array K-Top Scoring Pairs (K-TSP) method. In addition, fluorescence in situ hybridization (FISH) and immunoblotting determined both Src gene copy number and activation of Src, respectively. Results: Two of 10 explant tumors were determined to be sensitive to saracatinib. The K-TSP classifier (TOX>GLIS2, TSPAN7>BCAS4, and PARD6G>NXN) achieved 70% (7 of 10) accuracy on the test set. Evaluation of Src gene copy number by FISH showed a trend toward significance (P = 0.066) with respect to an increase in Src gene copy and resistance to saracatinib. Tumors sensitive to saracatinib showed an increase in the activation of Src and FAK when compared with resistant tumors. Conclusions: Saracatinib significantly decreased tumor growth in a subset of CRC cell lines and explants. A K-TSP classifier (TOX>GLIS2, TSPAN7>BCAS4, and PARD6G>NXN) was predictive for sensitivity to saracatinib. In addition, increased activation of the Src pathway was associated with sensitivity to saracatinib. These results suggest that FISH, a K-TSP classifier, and activation of the Src pathway have potential in identifying CRC patients that would potentially benefit from treatment with saracatinib. Clin Cancer Res; 16(16); OF1–12. ©2010 AACR. Clin Cancer Res; 16(16); 4165–77. ©2010 AACR.


Human Genomics | 2011

A short survey of computational analysis methods in analysing ChIP-seq data

Hyunmin Kim; Jihye Kim; Heather M. Selby; Dexiang Gao; Tiejun Tong; Tzulip Phang; Aik Choon Tan

Chromatin immunoprecipitation followed by massively parallel next-generation sequencing (ChIP-seq) is a valuable experimental strategy for assaying protein-DNA interaction over the whole genome. Many computational tools have been designed to find the peaks of the signals corresponding to protein binding sites. In this paper, three computational methods, ChIP-seq processing pipeline (spp), PeakSeq and CisGenome, used in ChIP-seq data analysis are reviewed. There is also a comparison of how they agree and disagree on finding peaks using the publically available Signal Transducers and Activators of Transcription protein 1 (STAT1) and RNA polymerase II (PolII) datasets with corresponding negative controls.


Journal of Thoracic Oncology | 2017

PD-L1 Expression by Two Complementary Diagnostic Assays and mRNA In Situ Hybridization in Small Cell Lung Cancer

Hui Yu; Cory Batenchuk; Andrzej Badzio; Theresa A. Boyle; Piotr Czapiewski; Daniel C. Chan; Xian Lu; Dexiang Gao; Kim Ellison; Ashley Kowalewski; Christopher J. Rivard; Rafal Dziadziuszko; Caicun Zhou; Maen Hussein; Donald A. Richards; Sharon Wilks; Marc Monte; William J. Edenfield; Jerome H. Goldschmidt; Ray Page; Brian Ulrich; David Waterhouse; Sandra Close; Jacek Jassem; Kimary Kulig; Fred R. Hirsch

Introduction: Therapeutic antibodies to immune checkpoints show promising results. Programmed death‐ligand 1 (PD‐L1), an immune checkpoint ligand, blocks the cancer immunity cycle by binding the PD‐L1 receptor (programmed death 1). We investigated PD‐L1 protein expression and messenger RNA (mRNA) levels in SCLC. Methods: PD‐L1 protein expression and mRNA levels were determined by immunohistochemistry (IHC) with SP142 and Dako 28‐8 PD‐L1 antibodies and in situ hybridization in primary tumor tissue microarrays in both tumor cells and tumor‐infiltrating immune cells (TIICs) obtained from a limited‐disease SCLC cohort of 98 patients. An additional cohort of 96 tumor specimens from patients with extensive‐disease SCLC was assessed for PD‐L1 protein expression in tumor cells with Dako 28‐8 antibody only. Results: The overall prevalence of PD‐L1 protein expression in tumor cells was 16.5%. In the limited‐disease cohort, the prevalences of PD‐L1 protein expression in tumor cells with SP142 and Dako 28‐8 were 14.7% and 19.4% (tumor proportion score cutoff ≥1%) and PD‐L1 mRNA ISH expression was positive in 15.5% of tumor samples. Increased PD‐L1 protein/mRNA expression was associated with the presence of more TIICs (p < 0.05). The extensive‐disease cohort demonstrated a 14.9% positivity of PD‐L1 protein expression in tumor cells with Dako 28‐8 antibody. Conclusions: A subset of SCLCs is characterized by positive PD‐L1 and/or mRNA expression in tumor cells. Higher PD‐L1 and mRNA expression correlate with more infiltration of TIICs. The prevalence of PD‐L1 in SCLC is lower than that published for NSCLC. The predictive role of PD‐L1 expression in SCLC treatment remains to be established.


Journal of the National Cancer Institute | 2017

Regulation of Head and Neck Squamous Cancer Stem Cells by PI3K and SOX2.

Stephen B. Keysar; Phuong N. Le; Bettina Miller; Brian C. Jackson; Justin R. Eagles; Cera Nieto; Jihye Kim; Binwu Tang; Magdalena J. Glogowska; J. Jason Morton; Nuria Padilla-Just; Karina Gomez; Emily Warnock; Julie Reisinger; John J. Arcaroli; Wells A. Messersmith; Lalage M. Wakefield; Dexiang Gao; Aik Choon Tan; Hilary S. Serracino; Vasilis Vasiliou; Dennis R. Roop; Xiao-Jing Wang; Antonio Jimeno

Background: We have an incomplete understanding of the differences between cancer stem cells (CSCs) in human papillomavirus–positive (HPV-positive) and –negative (HPV-negative) head and neck squamous cell cancer (HNSCC). The PI3K pathway has the most frequent activating genetic events in HNSCC (especially HPV-positive driven), but the differential signaling between CSCs and non-CSCs is also unknown. Methods: We addressed these unresolved questions using CSCs identified from 10 HNSCC patient-derived xenografts (PDXs). Sorted populations were serially passaged in nude mice to evaluate tumorigenicity and tumor recapitulation. The transcription profile of HNSCC CSCs was characterized by mRNA sequencing, and the susceptibility of CSCs to therapy was investigated using an in vivo model. SOX2 transcriptional activity was used to follow the asymmetric division of PDX-derived CSCs. All statistical tests were two-sided. Results: CSCs were enriched by high aldehyde dehydrogenase (ALDH) activity and CD44 expression and were similar between HPV-positive and HPV-negative cases (percent tumor formation injecting ⩽ 1x103 cells: ALDH+CD44high = 65.8%, ALDH-CD44high = 33.1%, ALDH+CD44high = 20.0%; and injecting 1x105 cells: ALDH-CD44low = 4.4%). CSCs were resistant to conventional therapy and had PI3K/mTOR pathway overexpression (GSEA pathway enrichment, P < .001), and PI3K inhibition in vivo decreased their tumorigenicity (40.0%–100.0% across cases). PI3K/mTOR directly regulated SOX2 protein levels, and SOX2 in turn activated ALDH1A1 (P < .001 013C and 067C) expression and ALDH activity (ALDH+ [%] empty-control vs SOX2, 0.4% ± 0.4% vs 14.5% ± 9.8%, P = .03 for 013C and 1.7% ± 1.3% vs 3.6% ± 3.4%, P = .04 for 067C) in 013C and 067 cells. SOX2 enhanced sphere and tumor growth (spheres/well, 013C P < .001 and 067C P = .04) and therapy resistance. SOX2 expression prompted mesenchymal-to-epithelial transition (MET) by inducing CDH1 (013C P = .002, 067C P = .01), followed by asymmetric division and proliferation, which contributed to tumor formation. Conclusions: The molecular link between PI3K activation and CSC properties found in this study provides insights into therapeutic strategies for HNSCC. Constitutive expression of SOX2 in HNSCC cells generates a CSC-like population that enables CSC studies.


BioResearch Open Access | 2012

miR-125b Regulation of Androgen Receptor Signaling Via Modulation of the Receptor Complex Co-Repressor NCOR2.

Xiaoping Yang; Lynne T. Bemis; Lih-Jen Su; Dexiang Gao; Thomas W. Flaig

Abstract Recognition of micro-RNA function and their contribution to the biology of disease has given a new insight into disease mechanisms, with these discoveries potentially improving clinical diagnostic and therapeutic options. miR-125b has been identified as an important regulator in various cancers, including prostate cancer, but the mechanism of this regulation remains incompletely understood. In these studies, the effect of castration on miR-125b serum expression was evaluated in mice, simulating androgen deprivation. Furthermore, miR-125b expression was measured by quantitative real-time polymerase chain reaction (qRT-PCR) in LNCaP prostate cancer cells treated with the antiandrogen bicalutamide. Using LNCaP cells, the effect of miR-125b modulation on apoptotic protein and NCOR2, a co-repressor of androgen receptor (AR), was examined by Western blot. A 3′-untranslated region (UTR) luciferase-binding assay was performed to confirm that miR-125b targets NCOR2. We found that surgical castration induced an initial increase in the expression of circulating miR-125b in mice, while sham surgery did not. In addition, AR blockade via bicalutamide was associated with the rapid release of miR-125b into the cell culture medium of prostate cancer cells. A previously studied target of miR-125b, a regulator in the apoptotic pathway, BAK1, could not completely account for the role of miR-125b in prostate cancer. Thus, we looked for additional targets of miR-125b and found that NCOR2, which is a repressor of AR, is a direct target of miR-125b. We found that NCOR2 protein expression was blocked by mimics of miR-125b, and a luciferase-binding assay confirmed that NCOR2 is a direct target of miR-125b. Our data provide novel evidence that miR-125b is an important regulator of the AR with specific ramification for the effectiveness of antiandrogens and other hormonal therapies in prostate cancer.


Human Genomics | 2010

A survey of statistical software for analysing RNA-seq data

Dexiang Gao; Jihye Kim; Hyunmin Kim; Tzu L. Phang; Heather M. Selby; Aik Choon Tan; Tiejun Tong

High-throughput RNA sequencing is rapidly emerging as a favourite method for gene expression studies. We review three software packages -- edgeR, DEGseq and baySeq -- from Bioconductor http://bioconductor.org for analysing RNA-sequencing data. We focus on three aspects: normalisation, statistical models and the testing employed on these methods. We also discuss the advantages and limitations of these software packages.

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Jihye Kim

Anschutz Medical Campus

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Hui Yu

Anschutz Medical Campus

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Paul A. Bunn

University of Colorado Denver

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Wells A. Messersmith

University of Colorado Denver

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John J. Arcaroli

University of Colorado Denver

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