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43 citation(s) found for "Wu, Xiaohong".

Phantom validation of quantitative susceptibility and dynamic contrast‐enhanced permeability MR sequences across instruments and sites
Hobson, Nicholas , Polster, Sean P. , Flemming, Kelly D. , Shu, Yunhong , Huston, John , Gerrard, Chandra Y., Selwyn, Reed , Mabray, Marc C. , Zafar, Atif , Girard, Romuald , Carrión‐Penagos, Julián , Chen, Yu Fen, Parrish, Todd B. , Zhou, Xiaohong Joe , Stadnik, Agnieszka , Koskimäki, Janne , Turley, Dallas, Awad, Issam A. , Flemming, Kelly, Girard, Romuald , Carrión-Penagos, Julián , Zhou, Xiaohong Joe , Mabray, Marc C , Flemming, Kelly D , Hobson, Nicholas , Polster, Sean P , Cao, Ying , Koenig, James I. , Shenkar, Robert , Dimov, Alexey , Carroll, Timothy

Journal of Magnetic Resonance Imaging | September 13, 2019 | Volume: 51 | Issue: 4 | Pages: 1192-1199

10.1002/jmri.26927 | PMID 31515878 Get It

BackgroundQuantitative susceptibility mapping (QSM) and dynamic contrast‐enhanced quantitative permeability (DCEQP) on magnetic resonance (MR) have been shown to correlate with neurovascular disease progression as markers of vascular leakage and hemosiderin deposition. Applying these techniques as monitoring biomarkers in clinical trials will be necessary; however, their validation across multiple MR platforms and institutions has not been rigorously verified.PurposeTo validate quantitative measurement of MR biomarkers on multiple instruments at different institutions.Study TypePhantom validation between platforms and institutions.Phantom ModelT1/susceptibility phantom, two‐compartment dynamic flow phantom.Field Strength/Sequence3T/QSM, T1 mapping, dynamic 2D SPGR.AssessmentPhilips Ingenia, Siemens Prisma, and Siemens Skyra at three different institutions were assessed. A QSM phantom with concentrations of gadolinium, corresponding to magnetic susceptibilities of 0, 0.1, 0.2, 0.4, and 0.8 ppm was assayed. DCEQP was assessed by measuring a MultiHance bolus as the consistency of the width ratio of the curves at the input and outputs over a range of flow ratios between outputs.Statistical TestsEach biomarker was assessed by measures of accuracy (Pearson correlation), precision (paired t‐test between repeated measurements), and reproducibility (analysis of covariance [ANCOVA] between instruments).ResultsQSM accuracy of r2 > 0.997 on all three platforms was measured. Precision (P = 0.66 Achieva, P = 0.76 Prisma, P = 0.69 Skyra) and reproducibility (P = 0.89) were good. T1 mapping of accuracy was r2 > 0.98. No significant difference between width ratio regression slopes at site 2 (P = 0.669) or site 3 (P = 0.305), and no significant difference between width ratio regression slopes between sites was detected by ANCOVA (P = 0.48).Data ConclusionThe phantom performed as expected and determined that MR measures of QSM and DCEQP are accurate and consistent across repeated measurements and between platforms.Level of Evidence: 1Technical Efficacy Stage: 2J. Magn. Reson. Imaging 2020;51:1192–1199.
The relationship between terminal duct lobular unit features and mammographic density among Chinese breast cancer patients
Sung, Hyuna , Guo, Changyuan , Li, Erni, Guida, Jennifer , Cora, Renata , Deng, Joseph , Figueroa, Jonine D. , Sherman, Mark E. , Gierach, Gretchen L. , Lü, Ning , Yang, Xiaohong R. , Yang, Xiaohong R , Cora, Renata , Gierach, Gretchen L , Figueroa, Jonine D , Li, Jing , Pfeiffer, Ruth M. , Hu, Nan

International Journal of Cancer | December 18, 2018 | Volume: 145 | Issue: 1 | Pages: 70-77

10.1002/ijc.32077 | PMID 30561789 Get It

Extensive mammographic density (MD), a well‐established breast cancer risk factor, is a radiological representation of stromal and epithelial breast tissue content. In studies conducted predominantly among Caucasian women, histologic measures of reduced terminal duct lobular unit (TDLU) involution have been correlated with extensive MD, but independently associated with breast cancer risk. We therefore examined associations between TDLU measures and MD among Chinese women, a low‐risk population but with high prevalence of dense breasts. Diagnostic pre‐treatment digital mammograms were obtained from 144 breast cancer cases at a tertiary hospital in Beijing and scored using the Breast Imaging Reporting and Data System (BI‐RADS) density classification. TDLU features were assessed using three standardized measures (count/100 mm2, span [μm], and acini count/TDLU) in benign tissues.Associations between each of TDLU measures and MD were examined using generalized linear models for TDLU count and span and polytomous logistic regression for acini count with adjustment for potential confounders stratified by age. Among women ≥50 years, 63% had dense breasts; cases with dense breasts (BI‐RADS, c‐d) had greater TDLU count (21.1 [SE = 2.70] vs. 9.0 [SE = 1.83]; p = 0.0004), longer span (480.6 μm [SE = 24.6] vs. 393.8 μm [SE = 31.8]; p = 0.03), and greater acini count (ORtrend = 16.1; 95%CI = 4.08–63.1; ptrend < 0.0001) compared to those with non‐dense breasts (BI‐RADS, a‐b). Among women <50 years, 91% had dense breasts, precluding our ability to detect associations. Our findings are consistent with previously reported associations between extensive MD and reduced TDLU involution, supporting the hypothesis that breast cancer risk associated with extensive MD may be related to the amount of “at‐risk” epithelium.
Abstract 4898: Reduction of TGFBR2 in osteoblasts by enzalutamide causes drug resistance in prostate cancer bone metastasis
Ark, Alexandra Vander , Woodford, Erica, Ganguly, Sourik S., Zhang, Xiaotun, Meng, Xiangqi , Madaj, Zachary , Li, Xiaohong

Cancer Research | August 17, 2018 | Volume: 78 | Issue: 13_Supplement | Pages: 4898-4898

10.1158/1538-7445.am2018-4898 Get It

Abstract In the United States, over 80% of prostate cancer patients die with bone metastases. Second-line hormonal therapies, such as enzalutamide, only improve overall patient survival by a few months in about 50% of patients, and almost all patients develop drug resistance. Thus, there is an urgent need to determine the mechanisms of drug resistance in order to provide better treatments for prostate cancer bone metastasis. Enzalutamide is a small-molecule inhibitor of the androgen receptor. Our study showed that although enzalutamide inhibited the tumor growth of castration-resistant prostate cancer C4-2B cells when xenografted subcutaneously, it had no effect on the growth of C4-2B tumors in the bone or on the development of bone lesions. These data suggested a crucial role of the microenvironment in enzalutamide resistance in prostate cancer bone metastasis. To dissect the role of enzalutamide on the bone microenvironment, we treated bone cells, both osteoblasts and osteoclasts, with enzalutamide. We found that enzalutamide significantly and specifically reduced the TGF-β type II receptor (TGFBR2) protein in osteoblasts. This observation was also confirmed in prostate cancer bone metastatic tissue microarray, in which we performed immunohistochemistry and found a significant decrease of TGFBR2 expression specifically in cancer-associated osteoblasts from patients who had undergone treatment with second-line hormonal therapies, either enzalutamide or abiraterone. Statistical analysis showed that the decrease of TGFBR2 in cancer-associated osteoblasts was a causative effect from the hormonal therapies. To determine the role of TGFBR2 in the osteoblasts during bone metastasis, we used a mouse model (Tgfbr2Col1CreERT KO) with inducible Tgfbr2 knockout specifically in the osteoblasts. We found that loss of TGFBR2 in osteoblasts significantly promoted prostate cancer bone metastasis. Together, our data showed for the first time that reduction of TGFBR2 in osteoblasts by enzalutamide causes resistance to the drug in prostate cancer bone metastasis. Citation Format: Alexandra Vander Ark, Erica Woodford, Xiangqi Meng, Sourik Ganguly, Xiaotun Zhang, Zachary Madaj, Xiaohong Li. Reduction of TGFBR2 in osteoblasts by enzalutamide causes drug resistance in prostate cancer bone metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4898.
Shen-Shuai-Ning granule decreased serum concentrations of indoxyl sulphate in uremic patients undergoing peritoneal dialysis
Chen, Xujiao , Gao, Shouhong , Ruan, Mengna, Chen, Sixiu , Xu, Jing , Xing, Xiaohong , Pan, Xiaohong , Mei, Changlin , Mao, Zhiguo , Pan, Xiaohong

Bioscience Reports | June 19, 2018 | Volume: 38 | Issue: 5 | Pages: No page available

10.1042/bsr20171694 | PMID 29921575 Get It

Clearance of protein-bound uremic toxins (PBUTs) by dialysis is a challenge in the treatment of uremic patients. Shen-Shuai-Ning (SSN), a traditional Chinese medicine formulation, has been used commonly in China to retard kidney disease progression and decrease uremic toxins in chronic kidney disease (CKD) patients, but the effects of SSN on serum PBUTs in dialysis patients were not investigated. We conducted a randomized controlled trial in patients on peritoneal dialysis (PD) at dialysis center of Changzheng Hospital to evaluate the effects of SSN on serum PBUTs. Participants with SSN intervention took 5 g SSN granule three times daily for 12 weeks, while the baseline medications and dialysis prescriptions remained during the study in all patients. The serum concentrations of indoxyl sulphate (IS) and p-cresol sulphate (PCS) were determined by HPLC/MS/MS and biochemical parameters were assessed during the study. Sixty PD patients were enrolled and randomly allocated into SSN group and control group. Total IS level was significantly lower in SSN group than in control group at week 4, 8, and 12 (27.28 ± 18.19, 29.73 ± 19.10, and 29.41 ± 17.61 mg/l compared with 39.25 ± 20.23, 44.86 ± 23.91, and 45.34 ± 33.52 mg/l, respectively). However, there were no statistical difference of total PCS, free forms of IS and PCS concentrations between SSN group and control group during 12 weeks follow-up. Administration of SSN granule orally decreased serum total IS level effectively in uremic patients on PD with good tolerance. Benefits of PD patients’ outcomes from IS reduction by SSN awaits further large size and long duration clinical trials to verify.
Abstract 5290: Racial variation in terminal duct lobular unit (TDLU) involution in Chinese and Polish breast cancer patients
Sung, Hyuna , Guo, Changyuan , Zheng, Shan , Li, Erni, Deng, Joseph , Gierach, Gretchen L. , Lü, Ning , Yang, Xiaohong R. , Guida, Jennifer , Li, Jing , Hu, Nan , García‐Closas, Montserrat , Figueroa, Jonine D. , Sherman, Mark E. , Gierach, Gretchen L

Cancer Research | July 31, 2017 | Volume: 77 | Issue: 13_Supplement | Pages: 5290-5290

10.1158/1538-7445.am2017-5290 Get It

Abstract Introduction: Terminal duct lobular unit (TDLU) involution, an age-related physiological process, is characterized by the reduction of size and numbers. Reduced involution is associated with higher mammographic density, a strong breast cancer risk factor. Both factors predict risk of developing breast cancer among women with benign disease. Given that prior studies have been conducted mainly in White women, we compared the extent of TDLU involution among Western and Asian breast cancer cases to describe potential racial heterogeneity in breast cancer etiology. Method: We obtained three TDLU involution metrics (count/100 mm2, mean span, and mean acini count/TDLU; all inversely correlated with TDLU involution) measured in benign breast tissue sections from 379 Chinese (254 luminal A and 125 core basal phenotype [CBP] cases) and 476 Polish (407 luminal A and 69 CBP) breast cancer cases. Polytomous logistic regression was performed using tertiles of TDLU measures as ordinal dependent variable and race as an independent variable. Covariates included age, body mass index, and parity. Analyses were performed separately by age group (&lt;50, ≥50) and subtype (luminal A and CBP). Results: Among luminal A cases, Chinese had significantly greater TDLU count compared with Polish in both age groups (ORtrend= 11.0; 95% CI=2.80-43.2; Ptrend=0.001 for age&lt;50; ORtrend= 12.1; 95% CI=5.12-28.7; Ptrend=1E-08 for age≥50). In addition, Chinese were more likely to have greater mean span and acini count among younger cases (ORtrend=2.5; 95% CI=1.44-4.28; Ptrend=0.001 for mean span and ORtrend=7.4; 95% CI=4.13-13.4; Ptrend=3E-11 for acini count) but not among older cases. Among CBP cases, Chinese were more likely to have greater acini count compared to Polish only among younger women (ORtrend=2.6; 95% CI=1.12-6.95; Ptrend=0.03 for age&lt;50). Conclusion: We found Chinese were more likely to have reduced TDLU involution compared to Polish cases after accounting for potential confounders, with greater differences for luminal A and younger women. Studies of TDLU involution in diverse populations are needed to confirm and understand whether population difference in TDLU involution metrics are related to age at breast cancer onset and risks for specific tumor subtypes. Citation Format: Hyuna Sung, Changyuan Guo, Jennifer Guida, Shan Zheng, Erni Li, Jing Li, Nan Hu, Joseph Deng, Montserrat Garcia-Closas, Jonine Figueroa, Mark Sherman, Gretchen Gierach, Ning Lu, Xiaohong R. Yang. Racial variation in terminal duct lobular unit (TDLU) involution in Chinese and Polish breast cancer patients [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 5290. doi:10.1158/1538-7445.AM2017-5290
Lipocalin-2 Promotes Pancreatic Ductal Adenocarcinoma by Regulating Inflammation in the Tumor Microenvironment
Gomez-Chou, Sobeyda B., Świdnicka‐Siergiejko, Agnieszka , Badi, Niharika , Chavez-Tomar, Myrriah , Bekaii‐Saab, Tanios , Mace, Thomas A. , Schmidt, Carl , Liu, Yan , Deng, Defeng , Hwang, Rosa F. , Zhou, Liran , Moore, Todd T., Leng, Xiaohong , Arlinghaus, Ralph B., Logsdon, Craig D. , Cruz‐Monserrate, Zobeida , Lesinski, Gregory B , Farren, Matthew R. , Chatterjee, Deyali , Wang, Huamin , Bekaii-Saab, Tanios S

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 10 | Pages: 2647-2660

10.1158/0008-5472.can-16-1986 | PMID 28249896 Get It

Abstract Lipocalin-2 (LCN2) promotes malignant development in many cancer types. LCN2 is upregulated in patients with pancreatic ductal adenocarcinoma (PDAC) and in obese individuals, but whether it contributes to PDAC development is unclear. In this study, we investigated the effects of Lcn2 depletion on diet-induced obesity, inflammation, and PDAC development. Mice with acinar cell–specific expression of KrasG12D were crossed with Lcn2-depleted animals and fed isocaloric diets with varying amounts of fat content. Pancreas were collected and analyzed for inflammation, pancreatic intraepithelial neoplasia (PanIN), and PDAC. We also used a syngeneic orthotopic PDAC mouse model to study tumor growth in the presence or absence of Lcn2 expression. In addition, to understand the mechanistic role of how LCN2 could be mediating PDAC, we studied LCN2 and its specific receptor solute carrier family 22 member 17 (SLC22A17) in human pancreatic cancer stellate cells (PSC), key mediators of the PDAC stroma. Depletion of Lcn2 diminished extracellular matrix deposition, immune cell infiltration, PanIN formation, and tumor growth. Notably, it also increased survival in both obesity-driven and syngeneic orthotopic PDAC mouse models. LCN2 modulated the secretion of proinflammatory cytokines in PSC of the PDAC tumor microenvironment, whereas downregulation of LCN2-specific receptor SLC22A17 blocked these effects. Our results reveal how LCN2 acts in the tumor microenvironment links obesity, inflammation, and PDAC development. Cancer Res; 77(10); 2647–60. ©2017 AACR
Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations
Fehringer, Gordon , Kraft, Peter , Eeles, Rosalind A. , Chatterjee, Nilanjan , Schumacher, Fredrick R. , Schildkraut, Joellen M. , Lindström, Sara , Brennan, Paul , Bickeböller, Heike , Houlston, Richard S. , Landi, Maria Teresa , Caporaso, Neil E. , Risch, Angela , Olama, Ali Amin Al , Berndt, Sonja I. , Giovannucci, Edward L. , Grönberg, Henrik , Muir, Kenneth , Stampfer, Meir J. , Stevens, Victoria L. , Goode, Ellen L. , Reid, Brett M. , Brenner, Hermann , Chang‐Claude, Jenny , Kocarnik, Jonathan K., Slattery, Martha L. , Adank, Muriel A. , Ahsan, Habibul , Aittomäki, Kristiina, Baglietto, Laura , Blomquist, Carl, Canzian, Federico , Eliassen, A. Heather , Figueroa, Jonine D. , Flesch‐Janys, Dieter, Fletcher, Olivia , García‐Closas, Montserrat , Gaudet, Mia M. , Johnson, Nichola , Hazra, Aditi , Hein, Rebecca, Hofman, Albert , Irwanto, Astrid , Johansson, Mattias , Lichtner, Peter , Liu, Jianjun , Lund, Eiliv , Makalic, Enes , Meindl, Alfons , Müller‐Myhsok, Bertram , Muranen, Taru , Peeters, Petra H., Peto, Julian, Prentice, Ross L. , Sánchez, María‐José , Schmutzler, Rita K. , Southey, Melissa C. , Travis, Ruth C. , Turnbull, Clare , Uitterlinden, André G. , Wang, Zhaoming , Whittemore, Alice S. , Yang, Xiaohong R. , Zheng, Wei , Buchanan, Daniel D. , Casey, Graham , Conti, David V. , Edlund, Christopher K., Gallinger, Steven , Haile, Robert W. , Jenkins, Mark A. , Li, Li , Lindor, Noralene M., Schmit, Stephanie L. , Thibodeau, Stephen N. , Woods, Michael O. , Rafnar, Þórunn , Guðmundsson, Jūlı́us, Stacey, Simon , Stefánsson, Kāri , Sulem, Patrick , Chen, Y. Ann , Wei, Yongyue , Shen, Hongbing , Hu, Zhibin , Obeidat, Ma’en , Nickle, David C. , Timens, Wim , Freedman, Matthew L. , Seminara, Daniela, Gong, Jian , Peters, Ulrike , Gruber, Stephen B. , Sellers, Thomas A. , Easton, Douglas F. , Hunter, David J. , Haiman, Christopher A. , Henderson, Brian E., Hung, Rayjean J., Batra, Jyotsna , Hung, Rayjean J. , Pharoah, Paul D.P. , Kote‐Jarai, Zsofia , Ma, Jing , Wiklund, Fredrik E. , Willett, Walter C. , Permuth, Jennifer B. , Risch, Harvey A. , Bezieau, Stéphane , Chan, Andrew T. , Hudson, Thomas J , Newcomb, Polly A. , Schoen, Robert E. , White, Emily E. , Czene, Kamila , dos‐Santos‐Silva, Isabel , Hall, Per N , Hopper, John L. , Kaaks, Rudolf , Kibriya, Muhammad Ghulam , Meindl, Alfons , Nevanlinna, Heli , Rahman, Nazneen , Schmidt, Daniel F. , Tamimi, Rulla M. , Marchand, Loı̈c Le , Tyrer, Jonathan P. , Christiani, David C. , Shu, Xiao‐Ou , Shiraishi, Kouya , Takahashi, Atsushi , Bossé, Yohan , Li, Qiyuan , Chanock, Stephen Jacob , Amos, Christopher I. , Hung, Rayjean J., Buchanan, Daniel D , Houlston, Richard S , Eeles, Rosalind A , Southey, Melissa C , Jenkins, Mark A , Canzian, Federico , Hung, Rayjean J , Muir, Kenneth , Travis, Ruth C , Haile, Robert W , Wang, Zhaoming , Brenner, Hermann , Muranen, Taru A , García-Closas, Montserrat , Makalic, Enes , Kraft, Peter , Zheng, Wei , Figueroa, Jonine D , Eliassen, A Heather , Conti, David V , Batra, Jyotsna , Johansson, Mattias , Baglietto, Laura , Fletcher, Olivia , Sánchez, Maria-Jose , Risch, Angela , Bickeböller, Heike , Shen, Hongbing , Timens, Wim , Liu, Jing

Cancer Research | April 21, 2016 | Volume: 76 | Issue: 17 | Pages: 5103-5114

10.1158/0008-5472.can-15-2980 | PMID 27197191 Get It

Abstract Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-stage approach to conduct genome-wide association studies for lung, ovary, breast, prostate, and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 controls) to identify pleiotropic loci. Findings were replicated in independent association studies (55,789 cases, 330,490 controls). We identified a novel pleiotropic association at 1q22 involving breast and lung squamous cell carcinoma, with eQTL analysis showing an association with ADAM15/THBS3 gene expression in lung. We also identified a known breast cancer locus CASP8/ALS2CR12 associated with prostate cancer, a known cancer locus at CDKN2B-AS1 with different variants associated with lung adenocarcinoma and prostate cancer, and confirmed the associations of a breast BRCA2 locus with lung and serous ovarian cancer. This is the largest study to date examining pleiotropy across multiple cancer-associated loci, identifying common mechanisms of cancer development and progression. Cancer Res; 76(17); 5103–14. ©2016 AACR.
Variants Associated with Susceptibility to Pancreatic Cancer and Melanoma Do Not Reciprocally Affect Risk
Wu, Lang , Yang, Xiaohong R. , Rabe, Kari G. , Arslan, Alan A. , Canzian, Federico , Wolpin, Brian M. , Ámundadóttir, Laufey T. , Petersen, Gloria M. , Goldstein, Alisa M, Yang, Xiaohong Rose, Stolzenberg-Solomon, Rachael, Goldstein, Alisa M. , Yu, Herbert , Stolzenberg‐Solomon, Rachael Z. , Chaffee, Kari G. , Amundadottir, Laufey , Arslan, Alan A , Canzian, Federico

Cancer Epidemiology, Biomarkers & Prevention | March 19, 2014 | Volume: 23 | Issue: 6 | Pages: 1121-1124

10.1158/1055-9965.epi-13-0627 | PMID 24642353 Get It

Abstract Background: Melanoma cases may exist in pancreatic cancer kindreds, whereas there is increased risk of pancreatic cancer in familial melanoma. The two cancers may share genetic susceptibility variants in common. Methods: Three dbGaP (datasets in Genotypes and Phenotypes)-deposited GWAS (genome-wide association study) datasets (MD Anderson melanoma, PanScan 1, and PanScan 2 for pancreatic cancer) were used. Thirty-seven melanoma susceptibility variants in 22 genomic regions from published GWAS, plus melanoma-related genes and pathways were examined for pancreatic cancer risk in the PanScan datasets. Conversely, nine known pancreatic cancer susceptibility variants were examined for melanoma risk in the MD Anderson dataset. Results: In the PanScan data, initial associations were found with melanoma susceptibility variants in NCOA6 [rs4911442; OR, 1.32; 95% confidence interval (CI), 1.03–1.70; P = 0.03], YWHAZP5 (rs17119461; OR, 2.62; 95% CI, 1.08–6.35; P = 0.03), and YWHAZP5 (rs17119490; OR, 2.62; 95% CI, 1.08–6.34; P = 0.03), TYRP1 (P = 0.04), and IFNA13 (P = 0.04). In the melanoma dataset, two pancreatic cancer susceptibility variants were associated: NR5A2 (rs12029406; OR, 1.39; 95% CI, 1.01–1.92; P = 0.04) and CLPTM1L-TERT (rs401681; OR, 1.16; 95% CI, 1.01–1.34; P = 0.04). None of these associations remained significant after correcting for multiple comparisons. Conclusion: Reported variants of melanoma genes and pathways do not play a role in pancreatic cancer predisposition. Reciprocally, pancreatic cancer susceptibility variants are not associated with melanoma risk. Impact: Known melanoma-related genes and pathways, as well as GWAS-derived susceptibility variants of melanoma and pancreatic cancer, do not explain the shared genetic etiology of these two cancers. Cancer Epidemiol Biomarkers Prev; 23(6); 1121–4. ©2014 AACR.
Abstract B20: GLI1 overexpression contributes to HCC recurrence partly through the induction of SNAI1-induced epithelial-to-mesenchymal transition
Gai, Xiaohong, Fernández-Zapico, Martín E. , Roberts, Lewis R. , Moser, Catherine D., Nakamura, Ikuo , Shire, Abdirashid M., Yang, Judong, Almada, Luciana L. , Thorgeirsson, Snorri S., Zheng, Xin Min , Hu, Chunling , Elsawa, Sherine F. , Roberts, Lewis R

Cancer Research | June 27, 2012 | Volume: 71 | Issue: 18_Supplement | Pages: B20-B20

10.1158/1538-7445.fbcr11-b20 Get It

Abstract Background/Aim: Glioma-associated oncogene 1 (GLI1) is one of the most important transcription factors in the hedgehog (Hh) signaling pathway and has been shown to be involved in embryonic development and tumor progression. The epithelial-to-mesenchymal transition (EMT) is an important cellular program which contributes to invasion and metastasis of cancer. We have previously shown that GLI1 may promote HCC metastasis via EMT. Here, we demonstrate that GLI1 upregulates SNAI1 expression, induces EMT, and promotes HCC recurrence in vivo and in vitro. Methods: Gli1 mRNA was assessed in 139 HCCs by microarray and its correlation with HCC recurrence and SNAI1 mRNA expression was analyzed. In vitro, the mRNA and protein expression of GLI1 was measured in Gli1-negative Huh7 cells transfected with GU1 and GU1-expressing SNU398 cells transfected with antisense oligonucleotides targeting GU1 (GLI1 ASO). GLI1-dependent transcriptional activity was assessed with GU reporter luciferase assay and electrophoretic mobility shift assay (EMSA). The interaction between Gli1, SNAI1 and EMT was assessed by real-time PCR, Western immunoblotting and immunofluorescence. Effects of GLI1 on proliferation, viability, migration, and invasion of tumor cells were also assessed. Results: GLI1 mRNA was detected in 74 HCC tumors and found to be upregulated in 43 (58.1 %) HCCs. Increased Gli1 mRNA in HCCs was associated with tumor recurrence after resection. There was a positive correlation between GLI1 and SNAI1 mRNA expression. In HCC cells, GLI1 overexpression increased Gli1-dependent transcriptional activity, proliferation, viability, migration, and invasion of tumor cells. GU1 also increased SNAI1 expression and induced the EMT. Opposite effects were observed in GU1-knockdown models. Conclusion: Together, these findings identify a novel mechanism mediating HCC recurrence that includes GLI1-mediated activation of EMT via upregulation of SNAI1. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the Second AACR International Conference on Frontiers in Basic Cancer Research; 2011 Sep 14-18; San Francisco, CA. Philadelphia (PA): AACR; Cancer Res 2011;71(18 Suppl):Abstract nr B20.
Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium
Schmidt, Marjanka K. , Sherman, Mark E., Hopper, John L. , Dite, Gillian S. , Apicella, Carmel, Smith, Letitia, Hammet, Fleur, Southey, Melissa C. , Veer, Laura van ‘t , Smit, Vincent T.H.B.M. , Fasching, Peter A. , Beckmann, Matthias W. , Jud, Sebastian M. , Ekici, Arif B. , Hartmann, Arndt , Hein, Alexander , Schulz-Wendtland, R., Burwinkel, Barbara , Schneeweiß, Andreas , Sinn, Hans‐Peter , Sohn, Christof , Tchatchou, Sandrine, Bojesen, Stig E. , Nordestgaard, Børge G. , Flyger, Henrik, Ørsted, David D., Kaur‐Knudsen, Diljit, Rodríguez, Primitiva Menéndez, Brauch, Hiltrud , Justenhoven, Christina , Ko, Yon‐Dschun, Network, The Genica, Hamann, Ute, Fischer, Hans‐Peter , Brüning, Thomas , Pesch, Beate, Chang‐Claude, Jenny , Wang‐Gohrke, Shan , Bremer, Michael , Karstens, Johann H., Hillemanns, Peter , Dörk, Thilo , Nevanlinna, Heli , Heikkinen, Tuomas , Blomqvist, Carl , Aittomäki, Kristiina, Aaltonen, Kirsimari, Lindblom, Annika , Margolin, Sara , Mannermaa, Arto, Kosma, Veli‐Matti , Kauppinen, Jaana M., Kataja, Vesa , Auvinen, Päivi , Eskelinen, Matti , Soini, Ylermi, Chenevix‐Trench, Georgia , Spurdle, Amanda B. , Beesley, Jonathan, Chen, Xiaoqing, Holland, Helene, kConFab, AOCS, Lambrechts, Diether , Claes, Bart, Vandorpe, T., Neven, Patrick , Wildiers, Hans , Flesch‐Janys, Dieter, Hein, Rebecca, Löning, Thomas , Kosel, Matthew , Fredericksen, Zachary S., Giles, Graham G. , Baglietto, Laura , Severi, Gianluca , McLean, Catriona , Haiman, Christopher A., Henderson, Brian E., Kolonel, Laurence N. , Alnæs, Grethe Grenaker, Kristensen, Vessela, Børresen‐Dale, Anne‐Lise , Hunter, David J. , Hankinson, Susan E. , Andrulis, Irene L. , Mulligan, Anna Marie , O’Malley, Frances P., Huijts, Petra E.A., Tollenaar, Rob A.�E.�M. , Seynaeve, Caroline, Lissowska, Jolanta , Brinton, Louise A. , Pepłońska, Beata , Yang, Xiaohong R. , Hooning, Maartje J. , Hollestelle, Antoinette , Oldenburg, Rogier A., Jager, Agnes , Kriege, Mieke, Ozturk, Bahar, Czene, Kamila , Humphreys, Keith , Liu, Jianjun , Cox, Angela , Connley, Daniel, Cramp, Helen, Balasubramanian, Sabapathy P. , Reed, Malcolm , Dunning, Alison M. , Easton, Douglas F., Humphreys, Manjeet K., Caldas, Carlos , Blows, Fiona M., Driver, Kristy, Provenzano, Elena , Lubiński, Jan , Jakubowska, Anna , Huzarski, Tomasz , Byrski, Tomasz , Górski, Bohdan , Brennan, Paul , Sangrajrang, Suleeporn , Gaborieau, Valérie , Shen, Chen‐Yang , Hsiung, Chia‐Ni , Yu, Jyh‐Cherng , Chen, Shou‐Tung , Hsu, Giu‐Cheng, Hou, Ming‐Feng , Huang, Chiun‐Sheng , García‐Closas, Montserrat , Thorne, Heather , Hartikainen, Jaana M. , Bowtell, David D.L. , Lambrechts, Diether , Broeks, Annegien , Couch, Fergus J. , Veer, Laura J. van’t , Groot, Renate H. M. de , Marmé, Frederik , Milne, Roger L. , Pérez, José Ignacio Arias , Zamora, Pilar M. , Benı́tez, Javier , Network, The Genica, Heikkilä, Päivi , Mannermaa, Arto, Chen, Xiaoqing, kConFab, AOCS, Wang, Xianshu , Marchand, Loı̈c Le , Kristensen, Vessela N. , Devilee, Peter , Asperen, Christi J. van , Chanock, Stephen Jacob , Figueroa, Jonine D. , Leenders, Geert J.L.H. van , Hall, Per N , Cross, Simon S. , Cybulski, Cezary , Gronwald, Jacek , Anton‐Culver, Hoda , Ziogas, Argyrios , Pharoah, Paul D.P. , Nevanlinna, H , Dörk, Thilo , Lambrechts, Diether , Giles, Graham G , Spurdle, Amanda B , Hein, Alexander , Hillemanns, Peter , Lissowska, Jolanta , Caldas, Carlos , Southey, Melissa C , Sinn, Peter , Dunning, Alison M , Jakubowska, Anna , Lambrechts, Diether , Cox, Angela , García-Closas, Montserrat , Schmidt, Marjanka K , Severi, Gianluca , Ekici, Arif B , Hartikainen, Jaana M , Chenevix-Trench, Georgia , Huzarski, Tomasz , Czene, Kamila , Bowtell, David D , Lubinski, Jan , Baglietto, Laura , Bojesen, Stig E , Huang, Chiun-Sheng , Wildiers, Hans , Mclean, Catriona , Brauch, Hiltrud , Lindblom, Annika , Liu, Jing

Human Molecular Genetics | May 19, 2011 | Volume: 20 | Issue: 16 | Pages: 3289-3303

10.1093/hmg/ddr228 | PMID 21596841 Get It