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10 citation(s) found for "Chen, Gang".

Restoration of SIRT3 Expression in Aged Mice Alleviates UUO‐Induced Renal Fibrosis by Reducing GSK‐3β Hyperacetylation
Lu, Huan , Guo, Zihao , Li, Xing , Tian, Yiqun, Yin, Yisheng , Qin, Zhenliang, Yun, Kun , Wu, Minglong, Zeng, Xiaoyong , Zeng, Xiaoyong , Wang, Jing , Ren, Xiang , Yun, Kun, Chen, Gang

Mayo Clinic

Advanced Science | July 23, 2025 | Volume: 12 | Issue: 39 | Pages: No page available

10.1002/advs.202417248 | PMID 40698425 Get It

Abstract Aging increases the vulnerability of kidneys to injury and impairs their regenerative capacity. SIRT3 expression declines with aging and is associated with multiple age‐related pathologies. The expression profile and functional role of SIRT3 in renal aging remain unclear. Here, SIRT3 expression in aging kidneys is assessed and analyzed for its promoter methylation patterns using methylation‐specific PCR (MSP). It is found that aging exacerbates UUO‐induced renal fibrosis, associated with downregulated SIRT3 expression. Mechanistically, age‐related SIRT3 downregulation is mediated by hypermethylation of its promoter region. SIRT3 knockout exacerbated renal fibrosis in young mice subjected to UUO, whereas SIRT3 overexpression attenuated fibrosis in aged UUO mice. Integration of RNA‐seq and immunoprecipitation‐mass spectrometry (IP‐MS) analyses revealed that SIRT3 deficiency leads to hyperacetylation of GSK3β at lysine 15 (K15). This K15 hyperacetylation inhibited GSK3β activity, consequently stabilizing its substrate β‐catenin. Furthermore, self‐assembled PEG‐PCL‐PEG micelles are designed and synthesized to encapsulate hydrophobic honokiol (HKL). These micelles significantly enhanced the aqueous solubility and oral bioavailability of free HKL, maintained stable blood concentrations, and ultimately improved its anti‐fibrotic efficacy. These findings propose novel therapeutic strategies for managing renal fibrosis in the aging population and provide a foundation for developing new drugs and combination therapies.
PFKFB3 controls acinar IP3R-mediated Ca2+ overload to regulate acute pancreatitis severity
Chen, Shengchuan , Jin, Yuepeng , Liu, Siying , Liu, Zhu, Shi, Fengyu, Xie, Lifen, Guo, Panpan , Ergashev, Akmal , Yao, Haiping , Huang, Chaohao , Zhang, Baofu , Wu, Lijun, Sun, Hongwei , Chen, Siming , Yu, Zhengping , Tolosa, Ezequiel J. , Fernández-Zapico, Martín E. , Ma, Feng , Cannon, Andrew C, Zhang, Tan , Li, Liang , Shi, Fengyu, Guo, Panpan , Cannon, Andrew , Wu, Lijun, Chen, Siming, Shan, Yunfeng , Liu, Jianghuai , Chen, Gang

Mayo Clinic

JCI Insight | May 23, 2024 | Volume: 9 | Issue: 13 | Pages: No page available

10.1172/jci.insight.169481 | PMID 38781030 Get It

Acute pancreatitis (AP) is among the most common hospital gastrointestinal diagnoses; understanding the mechanisms underlying the severity of AP is critical for development of new treatment options for this disease. Here, we evaluate the biological function of phosphofructo-2-kinase/fructose-2,6-biphosphatase 3 (PFKFB3) in AP pathogenesis in 2 independent genetically engineered mouse models of AP. PFKFB3 was elevated in AP and severe AP (SAP), and KO of Pfkfb3 abrogated the severity of alcoholic SAP (FAEE-SAP). Using a combination of genetic, pharmacological, and molecular studies, we defined the interaction of PFKFB3 with inositol 1,4,5-trisphosphate receptor (IP3R) as a key event mediating this phenomenon. Further analysis demonstrated that the interaction between PFKFB3 and IP3R promotes FAEE-SAP severity by altering intracellular calcium homeostasis in acinar cells. Together, our results support a PFKFB3-driven mechanism controlling AP pathobiology and define this enzyme as a therapeutic target to ameliorate the severity of this condition.
Loss of LncRNA DUXAP8 synergistically enhanced sorafenib induced ferroptosis in hepatocellular carcinoma via SLC7A11 de‐palmitoylation
Shi, Zhehao , Jin, Bin , Ye, Wen , Wang, Luhui , Zhang, Sina , Zheng, Jiuyi , Lin, Zixia, Chen, Bo, Liu, Fangting , Zhang, Baofu , Ding, Xiwei , Shan, Yunfeng , Yu, Zhengping , Wang, Yi , Chen, Jicai , Roberts, Lewis R. , Chen, Gang , Chen, Gang , Roberts, Lewis R , Li, Zhiming , Liu, Fangting, Yang, Zhen Fan , Chen, Qiang

Mayo Clinic

Clinical and Translational Medicine | June 20, 2023 | Volume: 13 | Issue: 6 | Pages: No page available

10.1002/ctm2.1300 | PMID 37337470 Get It

AbstractBackgroundFerroptosis is an important iron‐dependent form of cell death in hepatocellular carcinoma (HCC). Sorafenib, a potent ferroptosis inducer, is used to treat advanced HCC but its efficacy is limited by the development of drug resistance.MethodsThe effects of DUXAP8 expression on HCC progression were evaluated by TCGA database, Kaplan‐Meier analysis, and in situ hybridization analysis. Sorafenib resistant HCC cell lines were modeled in vitro to study the regulation of DUXAP8 on ferroptosis in HCC induced by sorafenib. We used RNA pull‐down, immunofluorescence assays, acyl‐biotinyl exchange assay and mass spectrometry analysis to assess the molecular mechanism of ferroptosis regulation by DUXAP8. Syngeneic subcutaneous and orthotopic CDX models were used to assess whether DUXAP8 inhibition improves HCC in vivo.ResultsLncRNA DUXAP8, which is highly expressed in liver cancer and associated with poor prognosis, contributes to sorafenib resistance through suppression of ferroptosis. In vitro tests revealed that DUXAP8 reduced the sensitivity of HCC to sorafenib‐induced ferroptosis by acting on SLC7A11, a subunit of the amino acid antiporter system xc‐. DUXAP8 facilitates SLC7A11 palmitoylation and impedes its lysosomal degradation, thereby enhancing SLC7A11 action and suppressing ferroptosis. RNA pull‐down and immunofluorescence assays confirmed that DUXAP8 decreased membrane translocation and promoted sorting of de‐palmitoylated SLC7A11 to lysosomes by binding of DUXAP8 to SLC7A11. In addition, mass spectrometric analysis found that the Cys414 residue of SLC7A11 might be the predominant mutant site responsible for molecular masking of SLC7A11 lysosomal sorting. Further, the antitumor effect of DUXAP8 knockdown was verified in orthotopic and subcutaneous CDX models.ConclusionsOur findings suggest that a novel translational strategy combining sorafenib with DUXAP8 silencing to overcome drug resistance may improve treatment efficacy in patients with advanced HCC.
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Bron, Esther E. , Toga, Arthur W. , Weiner, Michael W. , Barkhof, Frederik , Fox, Nick C. , Eshaghi, Arman , Toni, Tina, Salaterski, Marcin, Lunina, Veronika, Ansart, Manon , Lu, Pascal , Thompson, Wesley K., Nahon, Aviv, Levy, Yarden, Halbersberg, Dan, Cohen, Mariya, Liao, Huiling , Yu, Kaixian , Ismail, Aya, Wood, Timothy C. , Nguyen, Minh , Sun, Nanbo , Yeo, B.T. Thomas , Qi, Ke , Chen, Shiyang , Qiu, Deqiang , Buciuman, Ionut, Kelner, Alex, Rimocea, Denisa, Ourselin, Sébastien , Venkatraghavan, Vikram , Liu, Keli , Rabe, Christina, Manser, Paul T. , Howlett, James , Huang, Zhiyue , Mukherjee, Sach, Rouanet, Anaïs , Oriol, Javier de Velasco , Clemente, Edgar E. V., Estrada, Karol , Altmann, André , Stonnington, Cynthia M. , Wu, Jianfeng , Devadas, Vivek, Fourrier, Clémentine , Doshi, Jimit , Moore, Paul J. , Lyons, Terry , Ciszek, Robert, Jedynak, Bruno , Pandya, K., Engels, William R., Cole, Joseph B., Golland, Polina , Alexander, Daniel C. , Initiative, The Alzheimer's Disease Neuroimaging, Toga, Arthur W , Barkhof, Frederik , Fox, Nick C , Weiner, Michael W , Marinescu, Razvan Valentin , Oxtoby, Neil P. , Young, Alexandra L. , Durrleman, Stanley , Iddi, Samuel , Li, Dan , Donohue, Michael , Li, Tengfei , Zhu, Hongtu , Tamez‐Peña, José G. , Wood, Timothy, Bravo, Héctor Corrada , Feng, Jiashi , Chen, Gang , Qi, Ke, Pop, Raluca, Ghazi, Mostafa Mehdipour , Nielsen, Mads , Sørensen, Lauge , Hill, Steven M., Kiddle, Steven John , Taschler, Bernd , Tom, Brian D. M. , White, Simon Richard , Faux, Noel Garry , Sedai, Suman , Aksman, Leon , Wang, Yalin , Rakêt, Lars Lau , Sotiras, Aristeidis , Erus, Güray , Davatzikos, Christos , Vogel, Jacob W. , Doyle, Andrew , Tam, Angela , Diaz-Papkovich, Alex , Jammeh, Emmanuel , Koval, Igor , Gallacher, John , Tohka, Jussi , Pandya, Kruti, Bilgel, Murat , Engels, William, Cole, Joseph, Klein, Stefan , Initiative, The Alzheimer's Disease Neuroimaging

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Machine Learning for Biomedical Imaging | May 17, 2023 | Volume: 1 | Issue: December 2021 | Pages: 1-60

10.59275/j.melba.2021-2dcc Get It

Accurate prediction of progression in subjects at risk of Alzheimer's disease is crucial for enrolling the right subjects in clinical trials. However, a prospective comparison of state-of-the-art algorithms for predicting disease onset and progression is currently lacking. We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk of Alzheimer's disease. Challenge participants were required to make a prediction, for each month of a 5-year future time period, of three key outcomes: clinical diagnosis, Alzheimer's Disease Assessment Scale Cognitive Subdomain (ADAS-Cog13), and total volume of the ventricles. The methods used by challenge participants included multivariate linear regression, machine learning methods such as support vector machines and deep neural networks, as well as disease progression models. No single submission was best at predicting all three outcomes. For clinical diagnosis and ventricle volume prediction, the best algorithms strongly outperform simple baselines in predictive ability. However, for ADAS-Cog13 no single submitted prediction method was significantly better than random guesswork. Two ensemble methods based on taking the mean and median over all predictions, obtained top scores on almost all tasks. Better than average performance at diagnosis prediction was generally associated with the additional inclusion of features from cerebrospinal fluid (CSF) samples and diffusion tensor imaging (DTI). On the other hand, better performance at ventricle volume prediction was associated with inclusion of summary statistics, such as the slope or maxima/minima of patient-specific biomarkers. On a limited, cross-sectional subset of the data emulating clinical trials, performance of the best algorithms at predicting clinical diagnosis decreased only slightly (2 percentage points) compared to the full longitudinal dataset. The submission system remains open via the website https://tadpole.grand-challenge.org, while TADPOLE SHARE (https://tadpole-share.github.io/) collates code for submissions. TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease. However, results call into question the usage of cognitive test scores for patient selection and as a primary endpoint in clinical trials.
Dialysis Initiation in Patients With Chronic Coronary Disease and Advanced Chronic Kidney Disease in ISCHEMIA‐CKD
Briguori, Carlo , Mathew, Roy O. , Huang, Zhen , Mavromatis, Kreton , Hickson, LaTonya J. , Lau, Wei Ling , Mathew, Anoop , Mahajan, Sandeep, Wheeler, David C. , Nolasco, Fernando , Stone, Gregg W. , Fleg, Jerome L. , Sidhu, Mandeep S. , Rockhold, Frank W. , Chertow, Glenn M. , Stone, Gregg W , Rockhold, Frank W , Hochman, Judith S , Bangalore, Sripal , Hickson, LaTonya J , Claes, Kathleen , Chen, Gang , Hochman, Judith S. , Maron, David J. , Bangalore, Sripal

Mayo Clinic

Journal of the American Heart Association | March 9, 2022 | Volume: 11 | Issue: 6 | Pages: No page available

10.1161/jaha.121.022003 | PMID 35261290 Get It

Background In participants with concomitant chronic coronary disease and advanced chronic kidney disease (CKD), the effect of treatment strategies on the timing of dialysis initiation is not well characterized. Methods and Results In ISCHEMIA‐CKD (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches–Chronic Kidney Disease), 777 participants with advanced CKD and moderate or severe ischemia were randomized to either an initial invasive or conservative management strategy. Herein, we compare the proportion of randomized participants with non–dialysis‐requiring CKD at baseline (n=362) who initiated dialysis and compare the time to dialysis initiation between invasive versus conservative management arms. Using multivariable Cox regression analysis, we also sought to identify the effect of invasive versus conservative chronic coronary disease management strategies on dialysis initiation. At a median follow‐up of 23 months (25th–75th interquartile range, 14–32 months), dialysis was initiated in 18.9% of participants (36/190) in the invasive strategy and 16.9% of participants (29/172) in the conservative strategy (P= 0.22). The median time to dialysis initiation was 6.0 months (interquartile range, 3.0–16.0 months) in the invasive group and 18.2 months (interquartile range, 12.2–25.0 months) in the conservative group (P= 0.004), with no difference in procedural acute kidney injury rates between the groups (7.8% versus 5.4%; P =0.26). Baseline clinical factors associated with earlier dialysis initiation were lower baseline estimated glomerular filtration rate (hazard ratio [HR] associated with 5‐unit decrease, 2.08 [95% CI, 1.72–2.56]; P <0.001), diabetes (HR, 2.30 [95% CI, 1.28–4.13]; P =0.005), hypertension (HR, 7.97 [95% CI, 1.09–58.21]; P =0.041), and Hispanic ethnicity (HR, 2.34 [95% CI, 1.22–4.47]; P =0.010). Conclusions In participants with non–dialysis‐requiring CKD in ISCHEMIA‐CKD, randomization to an invasive chronic coronary disease management strategy (relative to a conservative chronic coronary disease management strategy) is associated with an accelerated time to initiation of maintenance dialysis for kidney failure. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01985360.
A novel ferroptosis phenotype‐related clinical‐molecular prognostic signature for hepatocellular carcinoma
Deng, Tuo , Hu, Bingren, Chen, Jin , Tong, Yifan , Zhao, Jungang , Shi, Zhehao , Deng, Liming , Chen, Gang , Wang, Yi , Chen, Gang , Wang, Yi , Zhang, Tan , Sun, Zhifu

Mayo Clinic

Journal of Cellular and Molecular Medicine | June 4, 2021 | Volume: 25 | Issue: 14 | Pages: 6618-6633

10.1111/jcmm.16666 | PMID 34085405 Get It

AbstractFerroptosis is a newly identified cell death mechanism and potential biomarker for hepatocellular carcinoma (HCC) therapy; however, its clinical relevance and underlying mechanism remain unclear. In this study, transcriptome and methylome data from 374 HCC cases were investigated for 41 ferroptosis‐related genes to identify ferroptosis activity‐associated subtypes. These subtypes were further investigated for associations with clinical and pathological variables, gene mutation landscapes, deregulated pathways and tumour microenvironmental immunity. A gene expression signature and predictive model were developed and validated using an additional 232 HCC cases from another independent cohort. Two distinct ferroptosis phenotypes (Ferroptosis‐H and Ferroptosis‐L) were identified according to ferroptosis gene expression and methylation in the patients with HCC. Patients with the Ferroptosis‐H had worse overall and disease‐specific survival, and the molecular subtypes were significantly associated with different clinical characteristics, mRNA expression patterns, tumour mutation profiles and microenvironmental immune status. Furthermore, a 15‐gene ferroptosis‐related prognostic model (FPM) for HCC was developed and validated which demonstrated accurate risk stratification ability. A nomogram included the FPM risk score, ECOG PS and hepatitis B status was developed for eventual clinical translation. Our results suggest that HCC subtypes defined by ferroptosis gene expression and methylation may be used to stratify patients for clinical decision‐making.
Transcriptional Induction of Periostin by a Sulfatase 2–TGFβ1–SMAD Signaling Axis Mediates Tumor Angiogenesis in Hepatocellular Carcinoma
Chen, Gang , Nakamura, Ikuo , Dhanasekaran, Renumathy , Iguchi, Eriko , Tolosa, Ezequiel J. , Romecín, Paola , Vera, Renzo E., Almada, Luciana L. , Miamen, Alexander G., Chaiteerakij, Roongruedee , Zhou, Mengtao , Moser, Catherine D., Han, Shaoshan , Hu, Chunling , Banini, Bubu A. , Oseini, Abdul M., Fang, Yong , Yang, Dongye , Shaleh, Hassan M., Wang, Shaoqing , Wu, Dehai, Song, Tao , Lee, Ju‐Seog , Thorgeirsson, Snorri S., Chevet, Éric , Shah, Vijay H. , Fernández-Zapico, Martín E. , Roberts, Lewis R. , Romecin, Paola A, Asiedu, Michael K. , Chen, Yichun, Nakamura, Ikuo, Chaiteerakij, Roongruedee , Chen, Yi‐Chun , Roberts, Lewis R , Dhanasekaran, Renumathy , Hu, Chunling , Chen, Gang , Chevet, Eric

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Cancer Research | November 21, 2016 | Volume: 77 | Issue: 3 | Pages: 632-645

10.1158/0008-5472.can-15-2556 | PMID 27872089 Get It

Abstract Existing antiangiogenic approaches to treat metastatic hepatocellular carcinoma (HCC) are weakly effectual, prompting further study of tumor angiogenesis in this disease setting. Here, we report a novel role for sulfatase 2 (SULF2) in driving HCC angiogenesis. Sulf2-deficient mice (Sulf2 KO) exhibited resistance to diethylnitrosamine-induced HCC and did not develop metastases like wild-type mice (Sulf2 WT). The smaller and less numerous tumors formed in Sulf2 KO mice exhibited a markedly lower microvascular density. In human HCC cells, SULF2 overexpression increased endothelial proliferation, adhesion, chemotaxis, and tube formation in a paracrine fashion. Mechanistic analyses identified the extracellular matrix protein periostin (POSTN), a ligand of αvβ3/5 integrins, as an effector protein in SULF2-induced angiogenesis. POSTN silencing in HCC cells attenuated SULF2-induced angiogenesis and tumor growth in vivo. The TGFβ1/SMAD pathway was identified as a critical signaling axis between SULF2 and upregulation of POSTN transcription. In clinical HCC specimens, elevated levels of SULF2 correlated with increased microvascular density, POSTN levels, and relatively poorer patient survival. Together, our findings define an important axis controlling angiogenesis in HCC and a mechanistic foundation for rational drug development. Cancer Res; 77(3); 632–45. ©2016 AACR.
Dataset for reporting of thymic epithelial tumours: recommendations from the International Collaboration on Cancer Reporting (ICCR)
Detterbeck, Frank, Marx, Alexander , Roden, Anja C. , Marchevsky, Alberto M. , Mukai, Kiyoshi , Marino, Mirella , Bakker, Michael A. den , Yang, Woo‐Ick, Judge, Meagan , Hirschowitz, Lynn, Nicholson, Andrew G. , Chen, Gang

Mayo Clinic

Histopathology | October 14, 2016 | Volume: 70 | Issue: 4 | Pages: 522-538

10.1111/his.13099 | PMID 27735079 Get It

AimsThe International Collaboration on Cancer Reporting (ICCR) is a not‐for‐profit organization formed by the Royal Colleges of Pathologists of Australasia and the United Kingdom, the College of American Pathologists, the Canadian Association of Pathologists–Association Canadienne des Pathologists in association with the Canadian Partnership Against Cancer, and the European Society of Pathology. Its goal is to produce standardized, internationally agreed, evidence‐based datasets for use throughout the world.Methods and resultsThis article describes the development of a cancer dataset by the multidisciplinary ICCR expert panel for the reporting of thymic epithelial tumours. The dataset includes ‘required’ (mandatory) and ‘recommended’ (non‐mandatory) elements, which are validated by a review of current evidence and supported by explanatory text. Seven required elements and 12 recommended elements were agreed by the international dataset authoring committee to represent the essential information for the reporting of thymic epithelial tumours.ConclusionsThe use of an internationally agreed, structured pathology dataset for reporting thymic tumours provides all of the necessary information for optimal patient management, facilitates consistent and accurate data collection, and provides valuable data for research and international benchmarking. The dataset also provides a valuable resource for those countries and institutions that are not in a position to develop their own datasets.
Antitumor effect of the novel sphingosine kinase 2 inhibitor ABC294640 is enhanced by inhibition of autophagy and by sorafenib in human cholangiocarcinoma cells
Ding, Xiwei , Chaiteerakij, Roongruedee , Moser, Catherine D., Shaleh, Hassan M., Boakye, Jeffrey, Ndzengue, Albert, Zhou, Yanling , Huang, Shengbing, Thomas, Melanie B., Smith, Charles D. , Roberts, Lewis R. , Shaleh, Hassan, Chen, Gang , Chaiteerakij, Roongruedee , Li, Ying , Sinicrope, Frank A. , Zou, Xiaoping , Roberts, Lewis R

Mayo Clinic

Oncotarget | March 4, 2016 | Volume: 7 | Issue: 15 | Pages: 20080-20092

10.18632/oncotarget.7914 | PMID 26956050 Get It

Activation of the transforming growth factor‐β/SMAD transcriptional pathway underlies a novel tumor‐promoting role of sulfatase 1 in hepatocellular carcinoma
Dhanasekaran, Renumathy , Nakamura, Ikuo , Hu, Chunling , Oseini, Abdul M., Seven, Elif S. , Miamen, Alexander G., Moser, Catherine D., Zhou, Wei , Kuppevelt, Toin H. Van , Deursen, Jan M. van , Mounajjed, Taofic, Fernández-Zapico, Martín E. , Roberts, Lewis R. , Chen, Gang , Roberts, Lewis R , Dhanasekaran, Renumathy , Hu, Chunling

Mayo Clinic

Hepatology | December 12, 2014 | Volume: 61 | Issue: 4 | Pages: 1269-1283

10.1002/hep.27658 | PMID 25503294 Get It

In vitro studies have proposed a tumor suppressor role for sulfatase 1 (SULF1) in hepatocellular carcinoma (HCC); however, high expression in human HCC has been associated with poor prognosis. The reason underlying this paradoxical observation remains to be explored. Using a transgenic (Tg) mouse model overexpressing Sulf1 (Sulf1‐Tg), we assessed the effects of SULF1 on the diethylnitrosamine model of liver carcinogenesis. Sulf1‐Tg mice show a higher incidence of large and multifocal tumors with diethylnitrosamine injection compared to wild‐type mice. Lung metastases were found in 75% of Sulf1‐Tg mice but not in wild‐type mice. Immunohistochemistry, immunoblotting, and reporter assays all show a significant activation of the transforming growth factor‐β (TGF‐β)/SMAD transcriptional pathway by SULF1 both in vitro and in vivo . This effect of SULF1 on the TGF‐β/SMAD pathway is functional; overexpression of SULF1 promotes TGF‐β‐induced gene expression and epithelial–mesenchymal transition and enhances cell migration/invasiveness. Mechanistic analyses demonstrate that inactivating mutation of the catalytic site of SULF1 impairs the above actions of SULF1 and diminishes the release of TGF‐β from the cell surface. We also show that SULF1 expression decreases the interaction between TGF‐β1 and its heparan sulfate proteoglycan sequestration receptor, TGFβR3. Finally, using gene expression from human HCCs, we show that patients with high SULF1 expression have poorer recurrence‐free survival (hazard ratio 4.1, 95% confidence interval 1.9‐8.3; P = 0.002) compared to patients with low SULF1. We also found strong correlations of SULF1 expression with TGF‐β expression and with several TGF‐β‐related epithelial–mesenchymal transition genes in human HCC. Conclusion : Our study proposes a novel role of SULF1 in HCC tumor progression through augmentation of the TGF‐β pathway, thus defining SULF1 as a potential biomarker for tumor progression and a novel target for drug development for HCC. (H epatology 2015;61:1269–1283)