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390 citation(s) found for "Fan, D P".

Single-cell gene expression patterns in lupus monocytes independently indicate disease activity, interferon and therapy
Jin, Zhongbo , Fan, Wei , Jensen, Mark A, Dorschner, Jessica M., Bonadurer, George F., Vsetecka, Danielle, Amin, Shreyasee , Makol, Ashima , Ernste, Floranne C. , Osborn, Thomas G. , Moder, Kevin G., Chowdhary, Vaidehi , Niewold, Timothy B. , Jensen, Mark A. , Vsetecka, Danielle M, Ernste, Floranne, Osborn, Thomas, Moder, Kevin, Jensen, Mark A, Makol, Ashima

Lupus Science & Medicine | June 26, 2017 | Volume: 4 | Issue: 1 | Pages: e000202

10.1136/lupus-2016-000202 | PMID 29238602 Get It

Objectives Important findings can be masked in gene expression studies of mixed cell populations. We examined single-cell gene expression in SLE patient monocytes in the context of clinical and immunological features. Methods Monocytes were purified from patients with SLE and controls, and individually isolated for single-cell gene expression measurement. A panel of monocyte-related transcripts were measured in individual classical (CL) and non-classical (NCL) monocytes. Results Analyses of both CL and NCL monocytes demonstrated that many genes had a lower expression rate in SLE monocytes than in controls. Unsupervised hierarchical clustering of the CL and NCL data sets demonstrated independent clusters of cells from the patients with SLE that were related to disease activity, type I interferon (IFN) and medication use. Thus, each of these factors exerted a different impact on monocyte gene expression that could be identified separately, and a number of genes correlated uniquely with disease activity. We found within-cell correlations between genes directly induced by type I IFN-induced and other non–IFN-induced genes, suggesting the downstream biological effects of type I IFN in individual human SLE monocytes which differed between CLs and NCLs. Conclusions In summary, single-cell gene expression in monocytes was associated with a wide range of clinical and biological features in SLE, providing much greater detail and insight into the cellular biology underlying the disease than previous mixed-cell population studies.
CXCL13 is androgen-responsive and involved in androgen induced prostate cancer cell migration and invasion
Fan, Long, Zhu, Qingyi , Zhu, Cuicui , Lu, Shan , Liu, Ping , Liu, Li , Huang, Haojie

Oncotarget | June 7, 2017 | Volume: 8 | Issue: 32 | Pages: 53244-53261

10.18632/oncotarget.18387 | PMID 28881808 Get It

An adaptive Fuzzy C-means method utilizing neighboring information for breast tumor segmentation in ultrasound images
Dong, Fenglin, Xia, Xiaolong, Hu, Chun-Hong, Fan, Qianmin, Hu, Yanle , Gao, Mingyuan , Mutic, Sasa , Feng, Yuan

Medical Physics | May 17, 2017 | Volume: 44 | Issue: 7 | Pages: 3752-3760

10.1002/mp.12350 | PMID 28513858 Get It

Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases
Haycock, Philip , Burgess, Stephen , Nounu, Aayah , Zheng, Jie , Okoli, George N. , Wade, Kaitlin H. , Timpson, Nicholas J. , Evans, David M. , Willeit, Peter , Aviv, Abraham , Gaunt, Tom R. , Hemani, Gibran , Mangino, Massimo , Ellis, Hayley, Kurian, Kathreena M. , Pooley, Karen A. , Eeles, Rosalind A. , Lee, Jeffrey E. , Fang, Shenying , Chen, Wei V., Law, Matthew H. , Bowdler, Lisa, Iles, Mark M. , Worrall, Bradford B. , Markus, Hugh S. , Hung, Rayjean J., Amos, Chris, Thompson, Deborah J. , O’Mara, Tracy A. , Wolpin, Brian M. , Ámundadóttir, Laufey T. , Trichopoulou, Antonia , Onland‐Moret, N. Charlotte , Lund, Eiliv , Canzian, Federico , Severi, Gianluca , Overvad, Kim , Gunter, Marc J. , ­Tumino, ­Rosario , Svenson, Ulrika, Rij, André van, Baas, Annette F., Bown, Matthew J. , Samani, Nilesh J. , t’Hof, Femke N.G. van, Tromp, Gerard , Jones, Gregory T. , Kuivaniemi, Helena , Elmore, James R. , Johansson, Mattias , McKay, James , Scélo, Ghislaine , Carreras‐Torres, Robert , Gaborieau, Valérie , Brennan, Paul , Bracci, Paige M. , Olson, Sara H. , Gallinger, Steven , Li, Donghui , Petersen, Gloria M. , Han, Jiali , Abnet, Christian C. , Freedman, Neal D. , Aben, Katja K.H. , Kiemeney, Lambertus A. , Vermeulen, Sita H. , Walsh, Kyle M. , Wrensch, Margaret , Rice, Terri, Turnbull, Clare , Litchfield, Kevin , Paternoster, Lavinia , Standl, Marie , Mijatovic, Vladan, Sapkota, Yadav , Zondervan, Krina T. , Nyholt, Dale R. , Heel, David A. van , Arking, Dan E. , Ashar, Foram N., Sotoodehnia, Nona, Woo, Daniel , Comeau, Mary E. , Brown, W. Mark , Silverman, Edwin K. , Hokanson, John E. , Hui, Jennie , Thompson, Philip J. , Morrison, Alanna C. , Smith, Nicholas L. , Christiano, Angela M. , Petukhova, Lynn , Betz, Regina C. , Zhang, Xuejun, Zhu, Caihong, Langefeld, Carl D. , Thompson, Susan D. , Wang, Feijie , Fingerlin, Tasha E. , Rotter, Jerome I. , Cotch, Mary Frances , Jensen, Richard A., Munz, Matthias , Dommisch, Henrik , Schäefer, Arne S. , Ollila, Hanna M. , Hillary, Ryan P. , Zeng, Chenjie , Zheng, Wei , Shu, Xiao-Ou , Reis, André , Uebe, Steffen , Hüffmeier, Ulrike , Kawamura, Yoshiya, Otowa, Takeshi , Sasaki, Tsukasa, Dávila, Sonia , Siminovitch, Katherine A. , Bei, Jin‐Xin , Zeng, Yi‐Xin , Chen, Bowang , Franke, Andre, Fischer, Annegret, Ellinghaus, David , Flores, Carlos , Noth, Imre , Ma, Shwu‐Fan , Foo, Jia Nee , Liu, Jianjun , Cox, David G. , Delattre, Olivier , Mirabeau, Olivier , Skibola, Christine F., Tang, Clara Sze-Man , Garcia-Barceló, Mercè, Su, Wen-Hui , Chang, Yu‐Sun , Wade, Tracey , Lee, Chaeyoung , Kubo, Michiaki , Cha, Pei-Chieng , Nakamura, Yusuke, Levy, Daniel , Hunt, S. E., Spector, Tim D. , Soranzo, Nicole , Barr, R. Graham, Kahali, Bratati , Speliotes, Elizabeth K. , Yerges-Armstrong, Laura M. , Cheng, Ching‐Yu , Wong, Tien Yin , Fogh, Isabella , Powell, John , Rice, Kenneth , Relton, Caroline L. , Martin, Richard M. , Smith, George Davey , Hung, Rayjean J. , Bowden, Jack , Yang, Qiong , Spurdle, Amanda B. , Stolzenberg‐Solomon, Rachael Z. , Duell, Eric J. , Neale, Rachel Ε. , Risch, Harvey A. , Klein, Alison P. , Taylor, Philip R. , Maris, John M. , Wiencke, John K. , Abecasis, Gonçalo R. , SanGiovanni, John Paul , Li, Yong , Low, Siew‐Kee , Montgomery, Grant W. , Hunt, Karen A. , Rosand, Jonathan M. , Cho, Michael H. , Ferreira, Manuel A. R. , Felix, Janine F. , Fan, Xing Hua , Xu, Lin , Schwartz, David A. , Han, Fang , Albagha, Omar , Ralston, Stuart H. , Sasaki, Tsukasa, Hibberd, Martin Lloyd , Xie, Gang , Försti, Asta , Landi, Stefano , Ellinghaus, David , Kim, Jong‐Won , Chang, Kai‐Ping , Martin, Nicholas G. , Gordon, Scott D. , Kimura, Masayuki , Hwang, Shih‐Jen , Manichaikul, Ani , Barr, R. Graham, Jonas, Jost B , Lin, Kuang , Amundadottir, Laufey , Kiemeney, Lambertus A , Eeles, Rosalind A , van Heel, David A , Gunter, Marc J , Canzian, Federico , Hung, Rayjean J , O'Mara, Tracy A , Abnet, Christian C , Haycock, Philip , Tumino, Rosario , Han, Jiali , Martin, Richard M , Severi, Gianluca , Reis, André , Zheng, Wei , Rotter, Jerome I , Carreras-Torres, Robert , Law, Matthew H , Davey Smith, George , Johansson, Mattias , Iles, Mark M , Morrison, Alanna C , Rice, Ken , Freedman, Neal D , Foo, Jia Nee , Levy, Daniel , Rice, Kenneth , Sapkota, Yadav , Wong, Tien Y , Liu, Jing

JAMA Oncology | February 27, 2017 | Volume: 3 | Issue: 5 | Pages: 636

10.1001/jamaoncol.2016.5945 | PMID 28241208 Get It

Impact of the U.S. Preventive Services Task Force update for breast cancer screening on mammography utilization in women age 40 to 49.
Wang, Amy T. , Fan, Jiaquan , Houten, Holly K. Van , Shah, Nilay D.

Journal of Clinical Oncology | February 24, 2017 | Volume: 30 | Issue: 27_suppl | Pages: 5-5

10.1200/jco.2012.30.27_suppl.5 Get It

5 Background: The 11/2009 USPSTF breast cancer screening update recommended against routine screening mammography for women age 40-49, created confusion and prompted organizations to release opposing statements. We aimed to determine if the USPSTF update for breast cancer screening impacted screening mammography utilization in women age 40-49. Methods: We conducted a time-series analysis utilizing administrative claims data from over 100 health plans. Women ages 40-64 with at least one month of enrollment from 01/2006-12/2010 were included. Medicare claims are not included and thus women ≥65 were excluded. The start date of 01/2006 was chosen to account for possible effects of the recent recession. We developed claims-based algorithms to identify the number of monthly screening mammograms. Time series models were fit using SAS PROC AUTOREG; strong seasonal fluctuations were adjusted by including an autoregressive error of order 12. Results: Over 7.9 million women were included. Prior to the intervention, the baseline monthly mammography rate was 40.9/1,000 women for the 40-49 group and 47.4/1,000 women for the 50-64 group. Based on projections from pre-intervention trends, the update was associated with a 5.72% (1.27,10.18) and 4.97% (1.11,8.84) decrease in mammography rate at 3 and 10 months post-intervention, respectively in the 40-49 group. The intervention had no effect on mammography rates in the 50-64 group. This translates to 53,969 fewer mammograms performed in the year following the update for women ages 40-49 in this dataset. Conclusions: We present the first estimates of the impact of the USPSTF breast cancer screening update using a large nationally representative database. The update was associated with a small but significant decrease in mammography rates for women ages 40-49, while no change was seen for women ages 50-64, which is consistent with the context of the guideline change. A modest effect is also in line with public backlash and the release of numerous conflicting guidelines. These findings underscore the need for further research on benefits and risks of screening mammography as it is difficult to act on numerous sources of contradictory information.
Bevacizumab May Differentially Improve Ovarian Cancer Outcome in Patients with Proliferative and Mesenchymal Molecular Subtypes
Kommoss, Stefan , Winterhoff, Boris , Oberg, Ann L. , Konecny, Gottfried E. , Riska, Shaun M., Fan, Jian-Bing, April, Craig, Shridhar, Viji , Kommoss, Friedrich, Hilpert, Felix , Mahner, Sven� , Baumann, Klaus , Schroeder, W., Burges, Alexander , Canzler, Ulrich , Chien, Jeremy , Embleton-Thirsk, Andrew , Parmar, Mahesh , Kaplan, Richard , Perren, Timothy , Hartmann, Lynn C. , Goode, Ellen L. , Dowdy, Sean C. , Pfisterer, Jacobus , Wang, Chen , Maurer, Matthew J. , Bois, Andreas du , Chien, Jeremey , Kaplan, Richard

Clinical Cancer Research | February 3, 2017 | Volume: 23 | Issue: 14 | Pages: 3794-3801

10.1158/1078-0432.ccr-16-2196 | PMID 28159814 Get It

Abstract Purpose: Recent progress in understanding the molecular biology of epithelial ovarian cancer has not yet translated into individualized treatment for these women or improvements in their disease outcome. Gene expression has been utilized to identify distinct molecular subtypes, but there have been no reports investigating whether or not molecular subtyping is predictive of response to bevacizumab in ovarian cancer. Experimental Design: DASL gene expression arrays were performed on FFPE tissue from patients enrolled on the ICON7 trial. Patients were stratified into four TCGA molecular subtypes. Associations between molecular subtype and the efficacy of randomly assigned therapy with bevacizumab were assessed. Results: Molecular subtypes were assigned as follows: 122 immunoreactive (34%), 96 proliferative (27%), 73 differentiated (20%), and 68 mesenchymal (19%). In univariate analysis patients with tumors of proliferative subtype obtained the greatest benefit from bevacizumab with a median PFS improvement of 10.1 months [HR, 0.55 (95% CI, 0.34–0.90), P = 0.016]. For the mesenchymal subtype, bevacizumab conferred a nonsignificant improvement in PFS of 8.2 months [HR 0.78 (95% CI, 0.44–1.40), P = 0.41]. Bevacizumab conferred modest improvements in PFS for patients with immunoreactive subtype (3.8 months; P = 0.08) or differentiated subtype (3.7 months; P = 0.61). Multivariate analysis demonstrated significant PFS improvement in proliferative subtype patients only [HR, 0.45 (95% CI, 0.27–0.74), P = 0.0015]. Conclusions: Ovarian carcinoma molecular subtypes with the poorest survival (proliferative and mesenchymal) derive a comparably greater benefit from treatment that includes bevacizumab. Validation of our findings in an independent cohort could enable the use of bevacizumab for those patients most likely to benefit, thereby reducing side effects and healthcare cost. Clin Cancer Res; 23(14); 3794–801. ©2017 AACR.
Further delineation of a rare recessive encephalomyopathy linked to mutations in GFER thanks to data sharing of whole exome sequencing data
Nambot, Sophie , Gavrilov, Dimitar , Thévenon, Julien , Bruel, Ange‐Line , Bainbridge, Matthew N. , Rio, Marlène , Goizet, Cyril , Rötig, Agnès , Jaeken, J., Niu, N., Xia, Fan , Vital, Anne, Houcinat, Nada, Mochel, Fanny , Kuentz, Paul , Lehalle, Daphné , Duffourd, Yannis , Rivière, Jean‐Baptiste , Thauvin-Robinet, Christel, Beaudet, Arthur L. , Faivre, Laurence , Nambot, S , Thevenon, J , Thauvin‐Robinet, Christel , Faivre, Laurence

Clinical Genetics | February 3, 2017 | Volume: 92 | Issue: 2 | Pages: 188-198

10.1111/cge.12985 | PMID 28155230 Get It

BackgroundAlterations in GFER gene have been associated with progressive mitochondrial myopathy, congenital cataracts, hearing loss, developmental delay, lactic acidosis and respiratory chain deficiency in 3 siblings born to consanguineous Moroccan parents by homozygosity mapping and candidate gene approach (OMIM#613076). Next generation sequencing recently confirmed this association by the finding of compound heterozygous variants in 19‐year‐old girl with a strikingly similar phenotype, but this ultra‐rare entity remains however unknown from most of the scientific community.Materials and MethodsWhole exome sequencing was performed as part of a “diagnostic odyssey” for suspected mitochondrial condition in 2 patients, presenting congenital cataracts, progressive encephalomyopathy and hypotrophy and detected unreported compound heterozygous variants in GFER.ResultsThanks to an international data sharing, we found 2 additional patients carrying compound heterozygous variants in GFER. Reverse phenotyping confirmed the phenotypical similarities between the 4 patients. Together with the first literature reports, the review of these 8 cases from 4 unrelated families enables us to better describe this apparently homogeneous disorder, with the clinical and biological stigmata of mitochondrial disease.ConclusionThis report highlights the clinical utility of whole exome sequencing and reverse phenotyping for the diagnosis of ultra‐rare diseases and underlines the importance of a broad data sharing for accurate clinical delineation of previously unrecognized entities.
Pre-Travel Healthcare Utilization Among Travelers Who Visit Friends and Relatives
Njeru, Jane W. , Jacobson, Debra J., Wilson, Patrick M. , Fan, Chun , Springer, Donna J., Tan, Eugene M. , Marcelin, Jasmine R , Wieland, Mark L. , Sia, Irene G.

Open Forum Infectious Diseases | February 1, 2017 | Volume: 3 | Issue: suppl_1 | Pages: No page available

10.1093/ofid/ofw172.486 Get It

Tolfenamic acid-induced alterations in genes and pathways in pancreatic cancer cells
Sankpal, Umesh T. , Goodison, Steve , Jones-Pauley, Michelle, Hurtado, Myrna , Zhang, Fan , Basha, Riyaz

Oncotarget | January 18, 2017 | Volume: 8 | Issue: 9 | Pages: 14593-14603

10.18632/oncotarget.14651 | PMID 28099934 Get It

Prohibitin 1 suppresses liver cancer tumorigenesis in mice and human hepatocellular and cholangiocarcinoma cells
Fan, Wei , Yang, Heping , Liu, Ting , Wang, Jiaohong, Li, Tony W.H., Mavila, Nirmala , Tang, Yuanyuan , Yang, JinWon, Peng, Hui , Tu, Jian , Annamalai, Alagappan, Noureddin, Mazen , Krishnan, Anuradha , Martínez‐Chantar, Maria Luz , Mato, José M. , Lu, Shelly C. , Gores, Gregory J.

Hepatology | December 17, 2016 | Volume: 65 | Issue: 4 | Pages: 1249-1266

10.1002/hep.28964 | PMID 27981602 Get It

Prohibitin 1 (PHB1) is best known as a mitochondrial chaperone, and its role in cancer is conflicting. Mice lacking methionine adenosyltransferase α1 (MATα1) have lower PHB1 expression, and we reported that c‐MYC interacts directly with both proteins. Furthermore, c‐MYC and MATα1 exert opposing effects on liver cancer growth, prompting us to examine the interplay between PHB1, MATα1, and c‐MYC and PHB1's role in liver tumorigenesis. We found that PHB1 is highly expressed in normal hepatocytes and bile duct epithelial cells and down‐regulated in most human hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). In HCC and CCA cells, PHB1 expression correlates inversely with growth. PHB1 and MAT1A positively regulate each other's expression, whereas PHB1 negatively regulates the expression of c‐MYC, MAFG, and c‐MAF. Both PHB1 and MATα1 heterodimerize with MAX, bind to the E‐box element, and repress E‐box promoter activity. PHB1 promoter contains a repressive E‐box element and is occupied mainly by MAX, MNT, and MATα1 in nonmalignant cholangiocytes and noncancerous tissues that switched to c‐MYC, c‐MAF, and MAFG in cancer cells and human HCC/CCA. All 8‐month‐old liver‐specific Phb1 knockout mice developed HCC, and one developed CCA. Five‐month‐old Phb1 heterozygotes, but not Phb1 flox mice, developed aberrant bile duct proliferation; and one developed CCA 3.5 months after left and median bile duct ligation. Phb1 heterozygotes had a more profound fall in the expression of glutathione synthetic enzymes and higher hepatic oxidative stress following left and median bile duct ligation. Conclusion: We have identified that PHB1, down‐regulated in most human HCC and CCA, heterodimerizes with MAX to repress the E‐box and positively regulates MAT1A while suppressing c‐MYC, MAFG, and c‐MAF expression; in mice, reduced PHB1 expression predisposes to the development of cholestasis‐induced CCA. (Hepatology 2017;65:1249‐1266).