Tu Vinh Luong
Royal Free Hospital
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Featured researches published by Tu Vinh Luong.
Journal of the National Cancer Institute | 2012
Guido Rindi; Massimo Falconi; Catherine Klersy; Luca Albarello; Letizia Boninsegna; Markus W. Büchler; Carlo Capella; Martyn Caplin; Anne Couvelard; Claudio Doglioni; G. Delle Fave; L Fischer; Giuseppe Fusai; W. W. de Herder; Henning Jann; Paul Komminoth; R.R. de Krijger; S La Rosa; Tu Vinh Luong; U Pape; Aurel Perren; Philippe Ruszniewski; Alessandra Scarpa; Anja Schmitt; Enrico Solcia; B Wiedenmann
BACKGROUND Both the European Neuroendocrine Tumor Society (ENETS) and the International Union for Cancer Control/American Joint Cancer Committee/World Health Organization (UICC/AJCC/WHO) have proposed TNM staging systems for pancreatic neuroendocrine neoplasms. This study aims to identify the most accurate and useful TNM system for pancreatic neuroendocrine neoplasms. METHODS The study included 1072 patients who had undergone previous surgery for their cancer and for which at least 2 years of follow-up from 1990 to 2007 was available. Data on 28 variables were collected, and the performance of the two TNM staging systems was compared by Cox regression analysis and multivariable analyses. All statistical tests were two-sided. RESULTS Differences in distribution of sex and age were observed for the ENETS TNM staging system. At Cox regression analysis, only the ENETS TNM staging system perfectly allocated patients into four statistically significantly different and equally populated risk groups (with stage I as the reference; stage II hazard ratio [HR] of death = 16.23, 95% confidence interval [CI] = 2.14 to 123, P = .007; stage III HR of death = 51.81, 95% CI = 7.11 to 377, P < .001; and stage IV HR of death = 160, 95% CI = 22.30 to 1143, P < .001). However, the UICC/AJCC/WHO 2010 TNM staging system compressed the disease into three differently populated classes, with most patients in stage I, and with the patients being equally distributed into stages II-III (statistically similar) and IV (with stage I as the reference; stage II HR of death = 9.57, 95% CI = 4.62 to 19.88, P < .001; stage III HR of death = 9.32, 95% CI = 3.69 to 23.53, P = .94; and stage IV HR of death = 30.84, 95% CI = 15.62 to 60.87, P < .001). Multivariable modeling indicated curative surgery, TNM staging, and grading were effective predictors of death, and grading was the second most effective independent predictor of survival in the absence of staging information. Though both TNM staging systems were independent predictors of survival, the UICC/AJCC/WHO 2010 TNM stages showed very large 95% confidence intervals for each stage, indicating an inaccurate predictive ability. CONCLUSION Our data suggest the ENETS TNM staging system is superior to the UICC/AJCC/WHO 2010 TNM staging system and supports its use in clinical practice.
Scientific Reports | 2015
Giuseppe Mazza; Krista Rombouts; Andrew R. Hall; Luca Urbani; Tu Vinh Luong; W. Al-Akkad; L. Longato; David A. Brown; Panagiotis Maghsoudlou; Amar P. Dhillon; Barry J. Fuller; Brian Davidson; Kevin Moore; Dipok Kumar Dhar; Paolo De Coppi; Massimo Malago; Massimo Pinzani
Liver synthetic and metabolic function can only be optimised by the growth of cells within a supportive liver matrix. This can be achieved by the utilisation of decellularised human liver tissue. Here we demonstrate complete decellularization of whole human liver and lobes to form an extracellular matrix scaffold with a preserved architecture. Decellularized human liver cubic scaffolds were repopulated for up to 21 days using human cell lines hepatic stellate cells (LX2), hepatocellular carcinoma (Sk-Hep-1) and hepatoblastoma (HepG2), with excellent viability, motility and proliferation and remodelling of the extracellular matrix. Biocompatibility was demonstrated by either omental or subcutaneous xenotransplantation of liver scaffold cubes (5 × 5 × 5 mm) into immune competent mice resulting in absent foreign body responses. We demonstrate decellularization of human liver and repopulation with derived human liver cells. This is a key advance in bioartificial liver development.
British Journal of Cancer | 2013
Mohid S. Khan; Tu Vinh Luong; J Watkins; Christos Toumpanakis; Martyn Caplin; Tim Meyer
Background:The aim of this study was to compare mitotic count (MC) and Ki-67 proliferation index as prognostic markers in pancreatic and midgut neuroendocrine neoplasms (NENs).Methods:Two hundred eighty-five patients with metastatic NENs were recruited. Concordance between histological grade according to either Ki-67 or MC as defined by the European Neuroendocrine Tumour Society guidelines was assessed and the prognostic significance of Ki-67 or MC were evaluated.Results:There was a discrepancy of 44 and 38% in grade assignment when using Ki-67 or MC in pancreatic and midgut NENs, respectively. In multivariate analysis, grade using Ki-67, but not MC, was a significant prognostic factor in determining overall survival (hazard ratios: midgut G2 2.34, G3 15.1, pancreas G2 2.08, G3 11.3). The prognostic value of Ki-67 was improved using a modified classification (hazard ratios: midgut G2 3.02, for G3 22.1, pancreas G2 5.97, G3 33.8).Conclusion:There is a lack of concordance between Ki-67 and MC in assigning tumour grade. Grade according to Ki-67 was a better prognostic marker than MC for metastatic pancreatic and midgut NENs. We suggest that Ki-67 alone should be used for grading pancreatic and midgut NENs and that the current threshold for classifying G1/G2 tumours should be revised from 2 to 5%.
Clinical Cancer Research | 2011
Mohid S. Khan; Theodora Tsigani; Mohammed Rashid; Jeremy S. Rabouhans; Dominic Yu; Tu Vinh Luong; Martyn Caplin; Tim Meyer
Purpose: Neuroendocrine tumors (NET) are heterogeneous tumors with widely variable survival. It is unknown whether they express EpCAM (epithelial cell adhesion molecule) and thus whether NET circulating tumor cells (CTC) are detectable. We systematically investigated EpCAM expression and CTC detection in patients with metastatic NETs and evaluated the potential of CTCs to predict radiological progression. Experimental Design: EpCAM protein expression was evaluated in 74 samples of formalin-fixed, paraffin-embedded NET tissue by immunohistochemistry. Seventy-nine patients with metastatic NETs (42 midgut, 5 unknown primary, 19 pancreatic, 13 bronchopulmonary) had blood samples drawn for CTC isolation and enumeration utilizing the CellSearch platform. Patients were classified as having progressive or nonprogressive disease on the basis of serial imaging. Results: Strong homogeneous, membranous EpCAM expression was observed in all ileal (n = 26) and pancreatic NETs (n = 16), whereas variable EpCAM expression was observed in bronchopulmonary NETs (n = 13). Forty-three percent of midgut and 21% of pancreatic NETs had CTCs detected with a range of 0–62 and 0–11, respectively. The absence of CTCs was strongly associated with stable disease (P < 0.001). There was a moderate correlation between CTC levels and urinary 5-hydroxyindole acetic acid (r = 0.5, P = 0.007) and between CTC levels and burden of liver metastases (B = 8.91, P < 0.001). There was no or low correlation between CTC levels and Ki-67 (r = 0.08, P = 0.59) and serum chromogranin A (r = 0.246, P = 0.03). Conclusions: This is the first systematic analysis showing EpCAM expression and CTC detection in NETs. CTCs seem to be associated with progressive disease and may provide useful prognostic information given the variable survival rates in these tumors. Clin Cancer Res; 17(2); 337–45. ©2011 AACR.
Journal of Hepatology | 2014
Emmanuel Tsochatzis; Sara Bruno; G. Isgro; Andrew M. Hall; Eleni Theocharidou; P. Manousou; Amar P. Dhillon; Andrew K. Burroughs; Tu Vinh Luong
BACKGROUND & AIMS One-year survival in cirrhosis ranges from 1 to 57% depending on the clinical stage. Accurate sub-classification has important prognostic implications but there is no stage beyond cirrhosis using current qualitative histological systems. We compared the performance of all histological semi-quantitative and quantitative methods specifically developed for sub-classifying cirrhosis that have been described to date, with collagen proportionate area (CPA), to evaluate how well they distinguish patients with and without hepatic clinical decompensation at presentation, and in predicting future decompensating events. METHODS We included consecutive patients with a histological diagnosis of cirrhosis that had a suitable liver biopsy between 2003 and 2007. We used semi-quantitative histological scoring systems proposed by Laennec, Kumar, and Nagula. We also measured quantitatively nodule size, septal width and fibrous tissue expressed in CPA. RESULTS Sixty-nine patients, mean age 52.3±11years, mean MELD 11.8±5.8, median follow-up 56months. Main aetiologies were alcohol (38%) and hepatitis C (27.5%). Twenty-four patients (34.8%) had had a previous episode of clinical decompensation. Amongst the 45 patients who were compensated, 11 (24%) decompensated on follow-up. In Cox regression, amongst all histological parameters, CPA was the only variable independently associated with clinical decompensation up to the time of biopsy, with an odds ratio that ranged from 1.245 to 1.292. Furthermore, only CPA was significantly associated with future decompensation (OR: 1.117, 95% CI 1.020-1.223; p=0.017). CONCLUSIONS Cirrhosis can be accurately sub-classified using quantification of fibrosis with CPA, and furthermore CPA is the only independent predictor of clinical decompensation amongst all other histological sub-classification systems described to date.
Liver Transplantation | 2011
P. Manousou; Amar P. Dhillon; Graziela Isgro; V. Calvaruso; Tu Vinh Luong; Emmanuel Tsochatzis; Elias Xirouchakis; G. Kalambokis; Timothy J.S. Cross; Nancy Rolando; James O'Beirne; David Patch; D. Thornburn; Andrew K. Burroughs
Clinical outcomes of recurrent hepatitis C virus after liver transplantation are difficult to predict. We evaluated collagen proportionate area (CPA), a quantitative histological index, at 1 year with respect to the first episode of clinical decompensation. Patients with biopsies at 1 year after liver transplantation were evaluated by Ishak stage/grade, and biopsy samples stained with Sirius red for digital image analysis were evaluated for CPA. Cox regression was used to evaluate variables associated with first appearance of clinical decompensation. Receiver operating characteristic (ROC) curves were also used. A total of 135 patients with median follow‐up of 76 months were evaluated. At 1 year, median CPA was 4.6% (0.2%‐36%) and Ishak stage was 0‐2 in 101 patients, 3‐4 in 23 patients, and 5‐6 in 11 patients. Decompensation occurred in 26 (19.3%) at a median of 61 months (15‐138). Univariately, CPA, tacrolimus monotherapy, and Ishak stage/grade at 1 year were associated with decompensation; upon multivariate analysis, only CPA was associated with decompensation (P = 0.010; Exp(B) = 1.169; 95%CI, 1.037‐1.317). Area under the ROC curve was 0.97 (95%CI, 0.94‐0.99). A cutoff value of 6% of CPA had 82% sensitivity and 95% specificity for decompensation. In the 89 patients with hepatic venous pressure gradient (HVPG) measurement, similar results were obtained. When both cutoffs of CPA > 6% and HVPG ≥ 6 mm Hg were used, all patients decompensated. Thus, CPA at 1‐year biopsy after liver transplantation was highly predictive of clinical outcome in patients infected with hepatitis C virus who underwent transplantation, better than Ishak stage or HVPG. Liver Transpl 17:178–188, 2011.
Journal of Hepatology | 2013
Manuel Rodríguez-Perálvarez; G. Germani; Vasilios Papastergiou; Emmanuel Tsochatzis; Evangelos Thalassinos; Tu Vinh Luong; N. Rolando; Amar P. Dhillon; David Patch; James O’Beirne; Douglas Thorburn; Andrew K. Burroughs
BACKGROUND & AIMS Liver transplant (LT) patients might be overimmunosuppressed as recommendations for tacrolimus trough concentrations (TC) within 4-6 weeks after liver transplantation are set too high (10-15 ng/ml). Early tacrolimus exposure was evaluated in relation to acute rejection and long-term outcomes. METHODS Four hundred and ninety-three consecutive LT patients receiving tacrolimus as primary immunosuppression (1995-2008) were analyzed. Acute rejection was diagnosed using protocol biopsies at day 6.1 ± 2.5. Median follow-up was 7.3 years (IQR 3.9-10.5). Early tacrolimus exposure (<15 days) was evaluated against moderate/severe acute rejection, chronic rejection, graft loss, chronic renal impairment and mortality using multiple logistic and Cox regression. RESULTS Maintenance immunosuppression was tacrolimus monotherapy (48.1%), double therapy combination with antimetabolites or steroids (18%), or triple therapy combination with antimetabolites and steroids (33.9%). Histological grade of acute rejection was moderate in 157 cases (31.8%) and severe in 19 cases (3.9%). Tacrolimus TC>7 ng/ml on the day of protocol biopsy was associated with less moderate/severe rejection (23.8%) compared with<7 ng/ml (41.2%) (p = 0.004). Mean tacrolimus TC 7-10 ng/ml within 15 days after LT were associated with reduced risk of graft loss (RR = 0.46; p = 0.014) compared to TC 10-15 ng/ml. A peak TC>20 ng/ml within this period was independently related to higher mortality (RR = 1.67; p = 0.005), particularly due to cardiovascular events, infections and malignancy (RR = 2.15; p = 0.001). Early tacrolimus exposure did not influence chronic rejection (p = 0.58), or chronic renal impairment (p = 0.25). CONCLUSIONS During the first 2 weeks after LT, tacrolimus TC between 7 and 10 ng/ml are safe in terms of acute rejection and are associated with longer graft survival.
Liver International | 2014
Vinicio Carloni; Tu Vinh Luong; K. Rombouts
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third leading cause of cancer death. Recent epidemiological data indicate that the mortality rate of HCC will double over the next decades in the USA and Europe. Liver cancer progresses in a large percentage of cases during the clinical course of chronic fibro‐inflammatory liver diseases leading to cirrhosis. Therefore, HCC development is regarded as the result of different environmental risk factors each involving different genetic, epigenetic‐ and chromosomal alterations and gene mutations. During tumour progression, the malignant hepatocytes and the activated hepatic stellate cells are accompanied by cancer‐associated fibroblasts, myofibroblasts and immune cells generally called tumour stromal cells. This new and dynamic milieu further enhances the responsiveness of tumour cells towards soluble mediators secreted by tumour stromal cells, thus directly affecting the malignant hepatocytes. This results in altered molecular pathways with cell proliferation as the most important mechanism of liver cancer progression. Given this contextual complexity, it is of utmost importance to characterize the molecular pathogenesis of HCC, and to identify the dominant pathways/drivers and aberrant signalling pathways. This will allow an effective therapy for HCC that should combine strategies affecting both cancer and the tumour stromal cells. This review provides an overview of the recent challenges and issues regarding hepatic stellate cells, extracellular matrix dynamics, liver fibrosis/cirrhosis and therapy, tumour microenvironment and HCC.
Clinical Cancer Research | 2016
Anna Karpathakis; Harpreet Dibra; Christodoulos P Pipinikas; Andrew Feber; Tiffany Morris; Joshua M. Francis; Dahmane Oukrif; Dalvinder Mandair; Marinos Pericleous; Mullan Mohmaduvesh; Stefano Serra; Olagunju Ogunbiyi; Marco Novelli; Tu Vinh Luong; Sylvia L Asa; Matthew H. Kulke; Christos Toumpanakis; Tim Meyer; Martyn Caplin; Matthew Meyerson; Stephan Beck; Christina Thirlwell
Purpose: Small intestinal neuroendocrine tumors (SINET) are the commonest malignancy of the small intestine; however, underlying pathogenic mechanisms remain poorly characterized. Whole-genome and -exome sequencing has demonstrated that SINETs are mutationally quiet, with the most frequent known mutation in the cyclin-dependent kinase inhibitor 1B gene (CDKN1B) occurring in only ∼8% of tumors, suggesting that alternative mechanisms may drive tumorigenesis. The aim of this study is to perform genome-wide molecular profiling of SINETs in order to identify pathogenic drivers based on molecular profiling. This study represents the largest unbiased integrated genomic, epigenomic, and transcriptomic analysis undertaken in this tumor type. Experimental Design: Here, we present data from integrated molecular analysis of SINETs (n = 97), including whole-exome or targeted CDKN1B sequencing (n = 29), HumanMethylation450 BeadChip (Illumina) array profiling (n = 69), methylated DNA immunoprecipitation sequencing (n = 16), copy-number variance analysis (n = 47), and Whole-Genome DASL (Illumina) expression array profiling (n = 43). Results: Based on molecular profiling, SINETs can be classified into three groups, which demonstrate significantly different progression-free survival after resection of primary tumor (not reached at 10 years vs. 56 months vs. 21 months, P = 0.04). Epimutations were found at a recurrence rate of up to 85%, and 21 epigenetically dysregulated genes were identified, including CDX1 (86%), CELSR3 (84%), FBP1 (84%), and GIPR (74%). Conclusions: This is the first comprehensive integrated molecular analysis of SINETs. We have demonstrated that these tumors are highly epigenetically dysregulated. Furthermore, we have identified novel molecular subtypes with significant impact on progression-free survival. Clin Cancer Res; 22(1); 250–8. ©2015 AACR.
Liver International | 2013
Emmanuel Tsochatzis; Matteo Garcovich; Laura Marelli; Vassilis Papastergiou; Evangelia Fatourou; Manuel Rodríguez-Perálvarez; G. Germani; Neil Davies; Dominic Yu; Tu Vinh Luong; Amar P. Dhillon; Douglas Thorburn; David Patch; James O'Beirne; Tim Meyer; Andrew K. Burroughs
Neo‐adjuvant transarterial therapies are commonly used for patients with HCC in the waiting list for liver transplantation (LT) to delay tumour progression, however, their effectiveness is not well‐established. We studied the effect of pre‐LT transarterial therapies on post‐LT HCC recurrence, using the explanted liver histology to assess therapeutic efficacy and the predictors of response to these therapies.