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941 citation(s) found for "H, Shi".

Multiple myeloma cells’ capacity to decompose H2O2 determines lenalidomide sensitivity
Sebastian, Sinto, Zhu, Yuan Xiao , Braggio, Esteban , Shi, Chang-Xin, Panchabhai, Sonali, Wier, Scott A. Van, Ahmann, Greg, Chesi, Marta , Bergsagel, P. Leif , Stewart, A. Keith, Bergsagel, P. Leif , Zhu, Yuan X, Panchabhai, Sonali C, Van Wier, Scott A, Ahmann, Greg J, Fonseca, Rafaël , Braggio, Esteban

Blood | December 28, 2016 | Volume: 129 | Issue: 8 | Pages: 991-1007

10.1182/blood-2016-09-738872 | PMID 28028022 Get It

Key Points IMiDs inhibit TrxR-mediated intracellular decomposition of H2O2 and caused oxidative stress in MM cells. MM cells with lower antioxidative capacity were more vulnerable to lenalidomide-induced H2O2 accumulation and its associated cytotoxicity.
Association of DNA Mismatch Repair and Mutations in BRAF and KRAS With Survival After Recurrence in Stage III Colon Cancers
Shi, Qian , Allegra, Carmen J. , Smyrk, Thomas C. , Thibodeau, Stephen N. , Goldberg, Richard M. , Meyers, Jeffrey P., Pogue-Geile, Kay L., Yothers, Greg , Sinicrope, Frank A. , Sargent, Daniel J. , Alberts, Steven R. , Shi, Qian , Yothers, Greg

JAMA Oncology | December 22, 2016 | Volume: 3 | Issue: 4 | Pages: 472

10.1001/jamaoncol.2016.5469 | PMID 28006055 Get It

CAME: identification of chromatin accessibility from nucleosome occupancy and methylome sequencing
Piao, Yongjun , Lee, Seong Keon, Lee, Eun-Joon, Robertson, Keith D. , Shi, Huidong , Choi, Jeong‐Hyeon , Ryu, Keun Ho , Robertson, Keith D

Bioinformatics | December 9, 2016 | Volume: 33 | Issue: 8 | Pages: 1139-1146

10.1093/bioinformatics/btw785 | PMID 28035030 Get It

Abstract Motivation Chromatin accessibility plays a key role in epigenetic regulation of gene activation and silencing. Open chromatin regions allow regulatory elements such as transcription factors and polymerases to bind for gene expression while closed chromatin regions prevent the activity of transcriptional machinery. Recently, Methyltransferase Accessibility Protocol for individual templates-Bisulfite Genome Sequencing (MAPit-BGS) and nucleosome occupancy and methylome sequencing (NOMe-seq) have been developed for simultaneously profiling chromatin accessibility and DNA methylation on single molecules. Therefore, there is a great demand in developing computational methods to identify chromatin accessibility from MAPit-BGS and NOMe-seq. Results In this article, we present CAME (Chromatin Accessibility and Methylation), a seed-extension based approach that identifies chromatin accessibility from NOMe-seq. The efficiency and effectiveness of CAME were demonstrated through comparisons with other existing techniques on both simulated and real data, and the results show that our method not only can precisely identify chromatin accessibility but also outperforms other methods. Availability and Implementation CAME is implemented in java and the program is freely available online at http://sourceforge.net/projects/came/ Supplementary information Supplementary data are available at Bioinformatics online.
Relationship Between Metformin Use and Recurrence and Survival in Patients With Resected Stage III Colon Cancer Receiving Adjuvant Chemotherapy: Results From North Central Cancer Treatment Group N0147 (Alliance)
Shi, Qian , Foster, Nathan R. , Grothey, Axel, Nair, Suresh , Chan, Emily , Shields, Anthony F. , Goldberg, Richard M. , Kahlenberg, Morton S., Singh, Preet Paul , Gill, Sharlene , Sinicrope, Frank A. , Sargent, Daniel J. , Alberts, Steven R. , Shi, Qian

The Oncologist | November 24, 2016 | Volume: 21 | Issue: 12 | Pages: 1509-1521

10.1634/theoncologist.2016-0153 | PMID 27881709 Get It

AbstractBackground.Preclinical and epidemiological data suggest that metformin might have antineoplastic properties against colon cancer (CC). However, the effect of metformin use on patient survival in stage III CC after curative resection is unknown. The survival outcomes were comparable regardless of the duration of metformin use.Patients and Methods.Before randomization to FOLFOX (folinic acid, 5-fluorouracil, oxaliplatin) with or without cetuximab, 1,958 patients with stage III CC enrolled in the N0147 study completed a questionnaire with information on diabetes mellitus (DM) and metformin use. Cox models were used to assess the association between metformin use and disease-free survival (DFS), overall survival (OS), and the time to recurrence (TTR), adjusting for clinical and/or pathological factors.Results.Of the 1,958 patients, 1,691 (86%) reported no history of DM, 115 reported DM with metformin use (6%), and 152 reported DM without metformin use (8%). The adjuvant treatment arms were pooled, because metformin use showed homogeneous effects on outcomes across the two arms. Among the patients with DM (n = 267), DFS (adjusted hazard ratio [aHR], 0.90; 95% confidence interval [CI], 0.59–1.35; p = .60), OS (aHR, 0.99; 95% CI, 0.65–1.49; p = .95), and TTR (aHR, 0.87; 95% CI, 0.56–1.35; p = .53) were not different for the metformin users compared with the nonusers after adjusting for tumor and patient factors. The survival outcomes were comparable regardless of the duration of metformin use (<1, 1–5, 6–10, ≥11 years) before randomization (ptrend = .64 for DFS, ptrend = .84 for OS, and ptrend = .87 for TTR). No interaction effects were observed between metformin use and KRAS, BRAF mutation status, tumor site, T/N stage, gender, or age.Conclusions.Patients with stage III CC undergoing adjuvant chemotherapy who used metformin before the diagnosis of CC experienced DFS, OS, and TTR similar to those for non-DM patients and DM patients without metformin use.
Hedgehog pathway dysregulation contributes to the pathogenesis of human gastrointestinal stromal tumors via GLI-mediated activation of KIT expression
Tang, Chih-Min, Lee, Tracy E., Syed, Sabriya A. , Burgoyne, Adam M. , Leonard, Stephanie Y., Chan, Jonathan C., Shi, Eileen, Chmielecki, Juliann , Morosini, Deborah, Wang, Kai , Kendrick, Michael L. , Bardsley, Michael R., Siena, Martina De , Mao, Junhao , Ördög, Tamás , Gao, Fei , Ross, Jeffrey S , Harismendy, Olivier , Sicklick, Jason Keith , De Siena, Martina

Oncotarget | October 26, 2016 | Volume: 7 | Issue: 48 | Pages: 78226-78241

10.18632/oncotarget.12909 | PMID 27793025 Get It

P3‐285: Patch‐Based Sparse Coding and Multivariate Surface Morphometry for Predicting Amnestic Mild Cognitive Impairment and Alzheimer’S Disease in Cognitively Unimpaired Individuals
Zhang, Jie , Li, Qingyang , Bauer, Robert, Reiman, Eric M. , Caselli, Richard J. , Stonnington, Cynthia M. , Wang, Yalin , Shi, Jie , Chen, Kewei

Alzheimer's & Dementia | October 17, 2016 | Volume: 12 | Issue: 7S_Part_19 | Pages: No page available

10.1016/j.jalz.2016.06.1939 Get It

Beta‐blockers improve survival outcomes in patients with multiple myeloma: a retrospective evaluation
Hwa, Yi L. , Shi, Qian , Kumar, Shaji , Lacy, Martha Q. , Kapoor, Prashant , Dingli, David , Go, Ronald S. , Hayman, Suzanne R. , Russell, Stephen J. , Lust, John A., Lin, Yi , Dispenzieri, Angela , Buadi, Francis K. , Go, Ronald S , Russell, Stephen, Gertz, Morie A. , Leung, Nelson , Gonsalves, Wilson I. , Rajkumar, S. Vincent , Dispenzieri, Angela , Russell, Stephen J , Shi, Qian , Dingli, David , Lin, Yi

American Journal of Hematology | October 13, 2016 | Volume: 92 | Issue: 1 | Pages: 50-55

10.1002/ajh.24582 | PMID 27733010 Get It

A preclinical study demonstrated anti‐proliferative and apoptotic effect of propranolol on multiple myeloma (MM) cell. Clinical studies suggested that beta‐blocker (BB) might impact the prognosis of breast, prostate, colorectal, ovarian, lung, and skin cancer. This retrospective study evaluated the effect of BB in MM disease‐specific survival (DSS) and overall survival (OS). Among 1,971 newly diagnosed MM patients seen at Mayo Clinic between 1995 and 2010, usage of BB and other cardiac (or antihypertensive) medications were abstracted. Cumulative incidence function and Kaplan–Meier method were used to estimate 5‐year cumulative incidence rate (CIR) of MM death and OS rate, respectively. Nine hundred and thirty (47.2%) patients had no intake of cardiac medications; 260 (13.2%) used BB alone; 343 (17.4%) used both BB/non‐BB cardiac medications; and 438 (22.2%) had non‐BB cardiac drugs. Superior MM DSS was observed in BB only users, compared to patients without any cardiac drugs ( , 0.53, 95% confidence interval [CI], 0.42–0.67, Padj.<0.0001) and non‐BB cardiac drugs users ( , 0.49, 95% CI, 0.38–0.63, Padj.<0.0001). Patients on both BB and other cardiac drugs showed superior DSS than non‐cardiac drugs users ( , 0.54, 95% CI, 0.44–0.67, Padj.<0.0001) and non‐BB cardiac drug users. ( , 0.50, 95% CI, 0.40–0.62, Padj.<0.0001). MM DSS did not differ between BB users with and without other cardiac drugs (Padj.=0.90). Multivariable analysis showed the same pattern for OS. In patients with MM, BB intake is associated with a reduced risk of disease‐specific death and overall mortality in comparison to non‐BB or no use of cardiac drugs. Am. J. Hematol. 92:50–55, 2017. © 2016 Wiley Periodicals, Inc.
The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers
Wang, Zhaoming , Schumacher, Fredrick R. , Gayther, Simon A. , Casey, Graham , Sellers, Thomas A. , Gruber, Stephen B., Dunning, Alison M. , Michailidou, Kyriaki , Fachal, Laura , Doheny, Kimberly F. , Li, Yafang , Xiao, Xiangjun , Romm, Jane, Pugh, Elizabeth, Coetzee, Gerhard A. , Hazelett, Dennis J. , Bojesen, Stig E. , Caga-Anan, Charlisse , Haiman, Christopher A. , Kamal, Ahsan , Luccarini, Craig , Tessier, Daniel C., Vincent, Daniel , Bacot, François, Berg, David Van Den , Nelson, Stefanie A. , Demetriades, Stephen, Goldgar, David E., Forman, Judith L., Conti, David V. , Bickeböller, Heike , Risch, Angela , Waldenberger, Mélanie , Brüske‐Hohlfeld, Irene, Hicks, Belynda , McGuffog, Lesley, Kuchenbaecker, Karoline , Soucy, Penny, Manz, Judith, Cunningham, Julie M. , Butterbach, Katja, Kote‐Jarai, Zsofia , Kraft, Peter , Lindström, Sara , Adams, Marcia, McKay, James , Phelan, Catherine M., Benlloch, Sara, Kelemen, Linda E., Brennan, Paul , Riggan, Marjorie J. , O’Mara, Tracy A. , Shen, Hongbing , Shi, Yongyong , Thompson, Deborah J. , Goodman, Marc T. , Nielsen, Sune F. , LaBoissière, Sylvie, Schmit, Stephanie L. , Shelford, Tameka, Edlund, Christopher K., Taylor, Jack A. , Field, John K. , Park, Sue K. , Offit, Kenneth , Thomassen, Mads , Schmutzler, Rita K., Ottini, Laura , Hung, Rayjean J., Olama, Ali Amin Al , Peters, Ulrike , Eeles, Rosalind A. , Seldin, Michael F., Gillanders, Elizabeth M. , Seminara, Daniela, Antoniou, Antonis C. , Chenevix‐Trench, Georgia , Simard, Jacques , Easton, Douglas F. , Durocher, Francine , Hung, Rayjean J. , Amos, Christopher I. , Dennis, Joe , Byun, Jinyoung , Hunter, David J. , Spurdle, Amanda B. , Couch, Fergus J. , Giles, Graham G. , Ling, Hua , Lee, Andrew , FitzGerald, Liesel M. , Berchuck, Andrew , Marchini, Jonathan , Pharoah, Paul D.P. , Chanock, Stephen Jacob , Hazelett, Dennis J , Eeles, Rosalind A , Van Den Berg, David J , Hung, Rayjean J , Wang, Zhaoming , O'Mara, Tracy A , Field, John K , Dunning, Alison M , Michailidou, Kyriaki , Taylor, Jack A , Kraft, Peter , Simard, Jacques , Chenevix-Trench, Georgia , Ottini, Laura , Conti, David V , Bojesen, Stig E , Risch, Angela , Bickeböller, Heike , Shen, Hongbing , Goodman, Marc T , Fachal, Laura

Cancer Epidemiology, Biomarkers & Prevention | October 3, 2016 | Volume: 26 | Issue: 1 | Pages: 126-135

10.1158/1055-9965.epi-16-0106 | PMID 27697780 Get It

Abstract Background: Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits. Methods: The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background. Results: The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis. Conclusions: Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures. Impact: Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126–35. ©2016 AACR.
Detection of gonadal mosaicism in Hartsfield syndrome by next generation sequencing
Shi, Yong , Dhamija, Radhika , Wren, Catherine, Wang, Xiangling , Babovic‐Vuksanovic, Dusica , Spector, Elaine , Dhamija, Radhika

American Journal of Medical Genetics Part A | September 8, 2016 | Volume: 170 | Issue: 12 | Pages: 3359-3359

10.1002/ajmg.a.37869 | PMID 27604603 Get It

A modifier screen identifies DNAJB6 as a cardiomyopathy susceptibility gene
Long, Pamela A., Shih, Yu‐Huan, Ma, Xiao , Sundsbak, Rhianna S., Chen, Jianhua , Jiang, Yiwen , Zhao, Liqun , Hu, Xinyang , Shi, Yongyong , Ackerman, Michael J. , Ekker, Stephen C. , Redfield, Margaret M. , Ding, Yonghe , Olson, Timothy M. , Bos, J. Martijn , Wang, Jianan , Lin, Xueying , Xu, Xiaolei , Ekker, Stephen C

JCI Insight | September 7, 2016 | Volume: 1 | Issue: 14 | Pages: No page available

10.1172/jci.insight.88797 | PMID 27642634 Get It

Mutagenesis screening is a powerful forward genetic approach that has been successfully applied in lower-model organisms to discover genetic factors for biological processes. This phenotype-based approach has yet to be established in vertebrates for probing major human diseases, largely because of the complexity of colony management. Herein, we report a rapid strategy for identifying genetic modifiers of cardiomyopathy (CM). Based on the application of doxorubicin stress to zebrafish insertional cardiac (ZIC) mutants, we identified 4 candidate CM-modifying genes, of which 3 have been linked previously to CM. The long isoform of DnaJ (Hsp40) homolog, subfamily B, member 6b ( dnajb6b(L) ) was identified as a CM susceptibility gene, supported by identification of rare variants in its human ortholog DNAJB6 from CM patients. Mechanistic studies indicated that the deleterious, loss-of-function modifying effects of dnajb6b(L) can be ameliorated by inhibition of ER stress. In contrast, overexpression of dnajb6(L) exerts cardioprotective effects on both fish and mouse CM models. Together, our findings establish a mutagenesis screening strategy that is scalable for systematic identification of genetic modifiers of CM, feasible to suggest therapeutic targets, and expandable to other major human diseases.