Huandong Sun
University of Texas MD Anderson Cancer Center
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Featured researches published by Huandong Sun.
Science | 2014
Jianjun Zhang; Junya Fujimoto; Jianhua Zhang; David C. Wedge; Xingzhi Song; Jiexin Zhang; Sahil Seth; Chi Wan Chow; Yu Cao; Curtis Gumbs; Kathryn A. Gold; Neda Kalhor; Latasha Little; Harshad S. Mahadeshwar; Cesar A. Moran; Alexei Protopopov; Huandong Sun; Jiabin Tang; Xifeng Wu; Yuanqing Ye; William N. William; J. Jack Lee; John V. Heymach; Waun Ki Hong; Stephen G. Swisher; Ignacio I. Wistuba; Andrew Futreal
Cancers are composed of populations of cells with distinct molecular and phenotypic features, a phenomenon termed intratumor heterogeneity (ITH). ITH in lung cancers has not been well studied. We applied multiregion whole-exome sequencing (WES) on 11 localized lung adenocarcinomas. All tumors showed clear evidence of ITH. On average, 76% of all mutations and 20 out of 21 known cancer gene mutations were identified in all regions of individual tumors, which suggested that single-region sequencing may be adequate to identify the majority of known cancer gene mutations in localized lung adenocarcinomas. With a median follow-up of 21 months after surgery, three patients have relapsed, and all three patients had significantly larger fractions of subclonal mutations in their primary tumors than patients without relapse. These data indicate that a larger subclonal mutation fraction may be associated with increased likelihood of postsurgical relapse in patients with localized lung adenocarcinomas. Different mutations are present in different regions of any given lung cancer, and their pattern may predict patient relapse. [Also see Perspective by Govindan] Space, time, and the lung cancer genome Lung cancer poses a formidable challenge to clinical oncologists. It is often detected at a late stage, and most therapies work for only a short time before the tumors resume their relentless growth. Two independent analyses of the human lung cancer genome may help explain why this disease is so resilient (see the Perspective by Govindan). Rather than take a single “snapshot” of the cancer genome, de Bruin et al. and Zhang et al. identified genomic alterations in spatially distinct regions of single lung tumors and used this information to infer the tumors evolutionary history. Each tumor showed tremendous spatial and temporal diversity in its mutational profiles. Thus, the efficacy of drugs may be short-lived because they destroy only a portion of the tumor. Science, this issue p. 251, p. 256; see also p. 169
Oncogene | 2016
Han Si; Hai Lu; Xinping Yang; A Mattox; Minyoung Jang; Yansong Bian; E Sano; Hector Viadiu; Christina Yau; Sam Ng; Steven Lee; Rose-Anne Romano; Sean Davis; Robert L. Walker; Wenming Xiao; Huandong Sun; Lai Wei; Satrajit Sinha; Christopher C. Benz; Joshua M. Stuart; Paul S. Meltzer; C Van Waes; Zhong Chen
The Cancer Genome Atlas (TCGA) network study of 12 cancer types (PanCancer 12) revealed frequent mutation of TP53, and amplification and expression of related TP63 isoform ΔNp63 in squamous cancers. Further, aberrant expression of inflammatory genes and TP53/p63/p73 targets were detected in the PanCancer 12 project, reminiscent of gene programs comodulated by cREL/ΔNp63/TAp73 transcription factors we uncovered in head and neck squamous cell carcinomas (HNSCCs). However, how inflammatory gene signatures and cREL/p63/p73 targets are comodulated genome wide is unclear. Here, we examined how the inflammatory factor tumor necrosis factor-α (TNF-α) broadly modulates redistribution of cREL with ΔNp63α/TAp73 complexes and signatures genome wide in the HNSCC model UM-SCC46 using chromatin immunoprecipitation sequencing (ChIP-seq). TNF-α enhanced genome-wide co-occupancy of cREL with ΔNp63α on TP53/p63 sites, while unexpectedly promoting redistribution of TAp73 from TP53 to activator protein-1 (AP-1) sites. cREL, ΔNp63α and TAp73 binding and oligomerization on NF-κB-, TP53- or AP-1-specific sequences were independently validated by ChIP-qPCR (quantitative PCR), oligonucleotide-binding assays and analytical ultracentrifugation. Function of the binding activity was confirmed using TP53-, AP-1- and NF-κB-specific REs or p21, SERPINE1 and IL-6 promoter luciferase reporter activities. Concurrently, TNF-α regulated a broad gene network with cobinding activities for cREL, ΔNp63α and TAp73 observed upon array profiling and reverse transcription–PCR. Overlapping target gene signatures were observed in squamous cancer subsets and in inflamed skin of transgenic mice overexpressing ΔNp63α. Furthermore, multiple target genes identified in this study were linked to TP63 and TP73 activity and increased gene expression in large squamous cancer samples from PanCancer 12 TCGA by CircleMap. PARADIGM inferred pathway analysis revealed the network connection of TP63 and NF-κB complexes through an AP-1 hub, further supporting our findings. Thus, inflammatory cytokine TNF-α mediates genome-wide redistribution of the cREL/p63/p73, and AP-1 interactome, to diminish TAp73 tumor suppressor function and reciprocally activate NF-κB and AP-1 gene programs implicated in malignancy.
Cell Reports | 2018
Yiqun Zhang; Lixing Yang; Melanie H. Kucherlapati; Fengju Chen; Angela Hadjipanayis; Angeliki Pantazi; Christopher A. Bristow; Eunjung Lee; Harshad S. Mahadeshwar; Jiabin Tang; Jianhua Zhang; Sahil Seth; Semin Lee; Xiaojia Ren; Xingzhi Song; Huandong Sun; Jonathan G. Seidman; Lovelace J. Luquette; Ruibin Xi; Lynda Chin; Alexei Protopopov; Wei Li; Peter J. Park; Raju Kucherlapati; Chad J. Creighton
A systematic cataloging of genes affected by genomic rearrangement, using multiple patient cohorts and cancer types, can provide insight into cancer-relevant alterations outside of exomes. By integrative analysis of whole-genome sequencing (predominantly low pass) and gene expression data from 1,448 cancers involving 18 histopathological types in The Cancer Genome Atlas, we identified hundreds of genes for which the nearby presence (within 100 kb) of a somatic structural variant (SV) breakpoint is associated with altered expression. While genomic rearrangements are associated with widespread copy-number alteration (CNA) patterns, approximately 1,100 genes-including overexpressed cancer driver genes (e.g., TERT, ERBB2, CDK12, CDK4) and underexpressed tumor suppressors (e.g., TP53, RB1, PTEN, STK11)-show SV-associated deregulation independent of CNA. SVs associated with the disruption of topologically associated domains, enhancer hijacking, or fusion transcripts are implicated in gene upregulation. For cancer-relevant pathways, SVs considerably expand our understanding of how genes are affected beyond point mutation or CNA.
Cancer Research | 2018
Zhihua Chen; John E. Morales; Paola A. Guerrero; Huandong Sun; Joseph H. McCarty
Glioblastoma (GBM) is an invasive brain cancer with tumor cells that disperse from the primary mass, escaping surgical resection and invariably giving rise to lethal recurrent lesions. Here we report that PTP-PEST, a cytoplasmic protein tyrosine phosphatase, controls GBM cell invasion by physically bridging the focal adhesion protein Crk-associated substrate (Cas) to valosin-containing protein (Vcp), an ATP-dependent protein segregase that selectively extracts ubiquitinated proteins from multiprotein complexes and targets them for degradation via the ubiquitin proteasome system. Both Cas and Vcp are substrates for PTP-PEST, with the phosphorylation status of tyrosine 805 (Y805) in Vcp impacting affinity for Cas in focal adhesions and controlling ubiquitination levels and protein stability. Perturbing PTP-PEST-mediated phosphorylation of Cas and Vcp led to alterations in GBM cell-invasive growth in vitro and in preclinical mouse models. Collectively, these data reveal a novel regulatory mechanism involving PTP-PEST, Vcp, and Cas that dynamically balances phosphorylation-dependent ubiquitination of key focal proteins involved in GBM cell invasion.Significance: PTP-PEST balances GBM cell growth and invasion by interacting with the ATP-dependent ubiquitin segregase Vcp/p97 and regulating phosphorylation and stability of the focal adhesion protein p130Cas.Graphical Abstract: http://cancerres.aacrjournals.org/content/canres/78/14/3809/F1.large.jpg Cancer Res; 78(14); 3809-22. ©2018 AACR.
Oncogene | 2016
Han Si; Hai Lu; Xinping Yang; A Mattox; Minyoung Jang; Yansong Bian; E Sano; Hector Viadiu; Christina Yau; Sam Ng; Steven Lee; R-A Romano; Sean Davis; Robert L. Walker; Wenming Xiao; Huandong Sun; Lai Wei; Satrajit Sinha; Christopher C. Benz; Joshua M. Stuart; Paul S. Meltzer; C Van Waes; Zhong Chen
The Cancer Genome Atlas (TCGA) network study of 12 cancer types (PanCancer 12) revealed frequent mutation of TP53, and amplification and expression of related TP63 isoform ΔNp63 in squamous cancers. Further, aberrant expression of inflammatory genes and TP53/p63/p73 targets were detected in the PanCancer 12 project, reminiscent of gene programs comodulated by cREL/ΔNp63/TAp73 transcription factors we uncovered in head and neck squamous cell carcinomas (HNSCCs). However, how inflammatory gene signatures and cREL/p63/p73 targets are comodulated genome wide is unclear. Here, we examined how the inflammatory factor tumor necrosis factor-α (TNF-α) broadly modulates redistribution of cREL with ΔNp63α/TAp73 complexes and signatures genome wide in the HNSCC model UM-SCC46 using chromatin immunoprecipitation sequencing (ChIP-seq). TNF-α enhanced genome-wide co-occupancy of cREL with ΔNp63α on TP53/p63 sites, while unexpectedly promoting redistribution of TAp73 from TP53 to activator protein-1 (AP-1) sites. cREL, ΔNp63α and TAp73 binding and oligomerization on NF-κB-, TP53- or AP-1-specific sequences were independently validated by ChIP-qPCR (quantitative PCR), oligonucleotide-binding assays and analytical ultracentrifugation. Function of the binding activity was confirmed using TP53-, AP-1- and NF-κB-specific REs or p21, SERPINE1 and IL-6 promoter luciferase reporter activities. Concurrently, TNF-α regulated a broad gene network with cobinding activities for cREL, ΔNp63α and TAp73 observed upon array profiling and reverse transcription–PCR. Overlapping target gene signatures were observed in squamous cancer subsets and in inflamed skin of transgenic mice overexpressing ΔNp63α. Furthermore, multiple target genes identified in this study were linked to TP63 and TP73 activity and increased gene expression in large squamous cancer samples from PanCancer 12 TCGA by CircleMap. PARADIGM inferred pathway analysis revealed the network connection of TP63 and NF-κB complexes through an AP-1 hub, further supporting our findings. Thus, inflammatory cytokine TNF-α mediates genome-wide redistribution of the cREL/p63/p73, and AP-1 interactome, to diminish TAp73 tumor suppressor function and reciprocally activate NF-κB and AP-1 gene programs implicated in malignancy.
bioRxiv | 2015
Sahil Seth; Samir B. Amin; Xingzhi Song; Xizeng Mao; Huandong Sun; Andrew Futreal; Jianhua Zhang
Motivation Bioinformatics analyses have become increasingly intensive computing processes, with lowering costs and increasing numbers of samples. Each laboratory spends time creating and maintaining a set of pipelines, which may not be robust, scalable, or efficient. Further, the existence of different computing environments across institutions hinders both collabo-ration and the portability of analysis pipelines. Results Flowr is a robust and scalable framework for designing and deploying computing pipelines in an easy-to-use fashion. It implements a scatter-gather approach using computing clusters, simplifying the concept to the use of five simple terms (in submission and dependency types). Most importantly, it is flexible, such that customizing existing pipelines is easy, and since it works across several computing environments (LSF, SGE, Torque, and SLURM), it is portable. Availability http://docs.flowr.space
Cancer Research | 2015
Haven R. Garber; Hannah C. Beird; Yu Cao; Jianhua Zhang; Rachel L. Sargent; Pei Lin; Sahil Seth; Xingzhi Song; Huandong Sun; Xizeng Mao; Lisa S. St. John; Karen Clise-Dwyer; Gheath Alatrash; P. Andrew Futreal; Jeffrey J. Molldrem
Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA Next-generation sequencing (NGS) has revealed that the malignant subclones comprising a patients cancer can possess tremendous genetic heterogeneity at different sites of disease and over time. In leukemia, chemotherapy can hasten subclonal evolution allowing for rare leukemic subclones with aggressive driver mutations to gain a competitive advantage and to predominate at relapse, often portending an inferior treatment response. The impact of immunotherapy on subclonal evolution is less well studied. To determine the effects of allogeneic stem cell transplant (alloSCT) and donor lymphocyte infusion (DLI) on subclonal evolution, we performed whole exome sequencing (WES) on longitudinal peripheral blood and bone marrow from 4 patients with CLL. Specifically, timepoints analyzed included pre-transplant, post-transplant relapse, and post-DLI relapse over a period of up to 8.5 years. B-CLL cells (CD19+CD5+) and normal T cells (CD3+) were sort-purified by fluorescence-activated cell sorting prior to genomic DNA extraction. Libraries for WES were constructed and sequenced to an average depth of 300x on an Illumina HiSeq 2000 using 76 bp paired-end reads. Somatic single nucleotide variants (sSNVs) and indels were called using MuTect and Pindel, respectively, and copy number changes were assessed using an in-house algorithm. In general, these patients had more nonsynonymous mutations per pre-alloSCT sample than reported in other CLL NGS studies (average 30.3; range 8-45), likely related to the significant amount of pre-transplant therapies. Heterogeneous patterns of linear and branched subclonal evolution were seen after alloSCT and DLI in both responders and non-responders. Mutations in several candidate CLL driver genes were seen in this cohort, including SF3B1, SAMHD1, BCOR, EGR2, TP53, and DDX3X. Interestingly, sSNVs in multiple recurrently mutated CLL or cancer census genes (e.g. MAP2K1) rose to levels of detection only after alloSCT or DLI, suggesting they may play a role in immune evasion. In addition, several subclonal genetic variants, including missense mutations in FAM126B and LTBP3, were no longer detected after alloSCT or DLI and may thus represent potential neoantigens. In one treatment-refractory patient, a somatic nonsynonymous clonal CHEK2 mutation was found in 8 longitudinal samples and may represent a novel unique driver mutation. Finally, in one patient who experienced a durable complete remission after DLI, concurrent CLL WES and T-cell receptor beta chain CDR3 NGS was performed, which demonstrated a rapidly evolving T-cell repertoire at the time of complete remission after DLI. For CLL, alloSCT and DLI offer a potentially curative treatment strategy and a better understanding of the genes that confer susceptibility or resistance to these immunotherapies may help unlock the mechanisms that underlie these durable responses. Citation Format: Haven R. Garber, Hannah Beird, Yu Cao, Jianhua Zhang, Rachel Sargent, Pei Lin, Sahil Seth, Xingzhi Song, Huandong Sun, Xizeng Mao, Lisa St John, Karen Clise-Dwyer, Gheath Alatrash, P. Andrew Futreal, Jeffrey J. Molldrem. Long-term subclonal evolution of CLL from immune selective pressure after allogeneic stem cell transplant and donor lymphocyte infusion. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-222. doi:10.1158/1538-7445.AM2015-LB-222
Cancer Cell | 2017
Yiqun Zhang; Patrick Kwok Shing Ng; Melanie H. Kucherlapati; Fengju Chen; Yuexin Liu; Yiu Huen Tsang; Guillermo Velasco; Kang Jin Jeong; Rehan Akbani; Angela Hadjipanayis; Angeliki Pantazi; Christopher A. Bristow; Eunjung Lee; Harshad S. Mahadeshwar; Jiabin Tang; Jianhua Zhang; Lixing Yang; Sahil Seth; Semin Lee; Xiaojia Ren; Xingzhi Song; Huandong Sun; Jonathan G. Seidman; Lovelace J. Luquette; Ruibin Xi; Lynda Chin; Alexei Protopopov; Thomas F. Westbrook; Carl Simon Shelley; Toni K. Choueiri
Cold Spring Harbor Symposia on Quantitative Biology | 2003
Richard Wilson; Timothy J. Ley; F.S. Cole; Jeffrey Milbrandt; Sandra W. Clifton; Lucinda A. Fulton; Ginger Fewell; Patrick Minx; Huandong Sun; Michael D. McLellan; Craig S. Pohl; Elaine R. Mardis