Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Vincent Gnanapragasam is active.

Publication


Featured researches published by Vincent Gnanapragasam.


Nature Genetics | 2015

Analysis of the genetic phylogeny of multifocal prostate cancer identifies multiple independent clonal expansions in neoplastic and morphologically normal prostate tissue

Colin S. Cooper; Rosalind Eeles; David C. Wedge; Peter Van Loo; Gunes Gundem; Ludmil B. Alexandrov; Barbara Kremeyer; Adam Butler; Andy G. Lynch; Niedzica Camacho; Charlie E. Massie; Jonathan Kay; Hayley Luxton; Sandra Edwards; Zsofia Kote-Jarai; Nening Dennis; Sue Merson; Daniel Leongamornlert; Jorge Zamora; Cathy Corbishley; Sarah Thomas; Serena Nik-Zainal; Manasa Ramakrishna; Sarah O'Meara; Lucy Matthews; Jeremy Clark; Rachel Hurst; Richard Mithen; Robert G. Bristow; Paul C. Boutros

Genome-wide DNA sequencing was used to decrypt the phylogeny of multiple samples from distinct areas of cancer and morphologically normal tissue taken from the prostates of three men. Mutations were present at high levels in morphologically normal tissue distant from the cancer, reflecting clonal expansions, and the underlying mutational processes at work in morphologically normal tissue were also at work in cancer. Our observations demonstrate the existence of ongoing abnormal mutational processes, consistent with field effects, underlying carcinogenesis. This mechanism gives rise to extensive branching evolution and cancer clone mixing, as exemplified by the coexistence of multiple cancer lineages harboring distinct ERG fusions within a single cancer nodule. Subsets of mutations were shared either by morphologically normal and malignant tissues or between different ERG lineages, indicating earlier or separate clonal cell expansions. Our observations inform on the origin of multifocal disease and have implications for prostate cancer therapy in individual cases.


Oncogene | 2003

Expression of Tip60, an androgen receptor coactivator, and its role in prostate cancer development.

Kalipso Halkidou; Vincent Gnanapragasam; Piyush Mehta; Ian R. Logan; Mark E. Brady; Susan Cook; Hing Y. Leung; David E. Neal; Craig N. Robson

Prostate cancer (CaP) is initially androgen sensitive and responsive to hormone ablation therapy. However, cancer growth recurs despite androgen deprivation in the majority of cases of advanced disease. The molecular basis of this progression still remains unknown. The significance of androgen receptor (AR) coactivator proteins in this androgen-dependent malignancy is only beginning to emerge. In the present study, we examined the role of Tat interactive protein, 60 kDa (Tip60), an AR coactivator, in CaP progression. In hormone refractory CaP biopsies, we observed a nuclear accumulation of Tip60 expression in contrast to a more diffuse distribution pattern observed in benign prostate hyperplasia and primary CaP. Furthermore, in both the prostate xenograft model CWR22 and the LNCaP CaP cell line, we observed that androgen withdrawal promoted upregulation of Tip60 as well as nuclear accumulation. In contrast, androgen exposure resulted in decreased Tip60 expression that was more closely linked to a cytoplasmic presence. Chromatin immunoprecipitation analysis revealed Tip60s recruitment to the PSA gene promoter in both androgen-dependent and -independent cell lines. Thus, in vitro and in vivo data support a possible role for Tip60 in the molecular pathway leading to the development of androgen-independent CaP following long-term androgen deprivation therapy.


British Journal of Cancer | 2001

Expression of RAC 3, a steroid hormone receptor co-activator in prostate cancer.

Vincent Gnanapragasam; Hing Y. Leung; A S Pulimood; David E. Neal; Craig N. Robson

RAC 3, one of the p160 family of co-activators is known to enhance the transcriptional activity of a number of steroid receptors. As co-activators are also known to enhance androgen receptor (AR) activity, we investigated the role of RAC 3 in the context of prostate cancer. In prostate cancer cell lines, we found variable levels of the RAC 3 protein with highest expression seen in AR-positive LNCaP cells, moderate expression in AR-negative PC 3 cells and low-level expression in AR-negative DU 145 cells. Immuno-precipitation studies showed that endogenous RAC 3 interacted with the AR in vivo and transfection assays confirmed that RAC 3 enhanced AR transcriptional activity. In clinical prostate tissue, we found strong RAC 3 mRNA expression and immuno-histochemistry demonstrated that in benign tissue, the protein was expressed predominantly in luminal cells, while in primary malignant epithelium it was more homogeneously expressed. In a series of 37 patients, the levels of RAC 3 expression correlated significantly with tumour grade (P = 0.01) and stage of disease (P = 0.03) but not with serum PSA levels. In addition moderate or high RAC 3 expression was associated with poorer disease-specific survival (P = 0.03). We conclude that RAC 3 is an important co-activator of the AR in the prostate and may have an important role in the progression of prostate cancer.


Nature Communications | 2015

Tracking the origins and drivers of subclonal metastatic expansion in prostate cancer

Matthew K.H. Hong; Geoff Macintyre; David C. Wedge; Peter Van Loo; Keval Patel; Sebastian Lunke; Ludmil B. Alexandrov; Clare Sloggett; Marek Cmero; Francesco Marass; Dana Tsui; Stefano Mangiola; Andrew Lonie; Haroon Naeem; Nikhil Sapre; Natalie Kurganovs; Xiaowen Chin; Michael Kerger; Anne Warren; David E. Neal; Vincent Gnanapragasam; Nitzan Rosenfeld; John Pedersen; Andrew Ryan; Izhak Haviv; Anthony J. Costello; Niall M. Corcoran; Christopher M. Hovens

Tumour heterogeneity in primary prostate cancer is a well-established phenomenon. However, how the subclonal diversity of tumours changes during metastasis and progression to lethality is poorly understood. Here we reveal the precise direction of metastatic spread across four lethal prostate cancer patients using whole-genome and ultra-deep targeted sequencing of longitudinally collected primary and metastatic tumours. We find one case of metastatic spread to the surgical bed causing local recurrence, and another case of cross-metastatic site seeding combining with dynamic remoulding of subclonal mixtures in response to therapy. By ultra-deep sequencing end-stage blood, we detect both metastatic and primary tumour clones, even years after removal of the prostate. Analysis of mutations associated with metastasis reveals an enrichment of TP53 mutations, and additional sequencing of metastases from 19 patients demonstrates that acquisition of TP53 mutations is linked with the expansion of subclones with metastatic potential which we can detect in the blood.


Oncogene | 2005

Epigenetic inactivation of the human sprouty2 (hSPRY2) homologue in prostate cancer

Arthur B. McKie; David Douglas; Sharon Olijslagers; Julia Graham; Mahmoud M Omar; Rakesh Heer; Vincent Gnanapragasam; Craig N. Robson; Hing Y. Leung

Abnormal signalling events mediated by receptor tyrosine kinases (RTKs) contribute to human carcinogenesis. Sprouty2 (Spry2) is a key antagonistic regulator of RTK signalling and suppression of its expression or function may facilitate proliferation and angiogenesis. Using prostate cancer (CaP) as a model, we investigated the significance of Spry2 in human malignancy. We observed downregulated Spry2 expression in invasive CaP cell lines and high-grade clinical CaP (compared to benign prostatic hyperplasia (BPH) and well-differentiated tumours, P=0.041). A large CpG island is associated with hSPRY2, and extensive hypermethylation of this CpG island was observed in 76–82% of high-grade CaP, while control BPH tissues were predominantly unmethylated (P=0.0005). Furthermore, suppressed Spry2 expression correlated with methylation of the CpG region in clinical samples (P=0.004) and treatment with 5-aza-2′-deoxycytidine reactivated Spry2 expression in LNCaP and PC-3M cells. hSPRY2 maps to the long arm of chromosome 13 (13q31.1), where loss of heterozygosity (LOH) has been reported. We found no evidence of mutation; however, we demonstrated 27–40% LOH using flanking markers to hSPRY2. Hence, while biallelic epigenetic inactivation of hSPRY2 represents the main genetic event in prostate carcinogenesis, the observed 27–40% LOH presents evidence of hemizygous deletion with the remaining allele hypermethylated. We therefore propose hSPRY2 as a potential tumour suppressor locus in CaP.


BJUI | 2016

Defining the learning curve for multiparametric magnetic resonance imaging (MRI) of the prostate using MRI-transrectal ultrasonography (TRUS) fusion-guided transperineal prostate biopsies as a validation tool

Gabriele Gaziev; Karan Wadhwa; Tristan Barrett; Brendan Koo; Ferdia A. Gallagher; Eva M. Serrao; Julia Frey; Jonas Seidenader; Lina Carmona; Anne Warren; Vincent Gnanapragasam; Andrew Doble; Christof Kastner

To determine the accuracy of multiparametric magnetic resonance imaging (mpMRI) during the learning curve of radiologists using MRI targeted, transrectal ultrasonography (TRUS) guided transperineal fusion biopsy (MTTP) for validation.


Oncogene | 2002

Regulation of FGF8 expression by the androgen receptor in human prostate cancer

Vincent Gnanapragasam; Craig N. Robson; David E. Neal; Hing Y. Leung

Fibroblast growth factor 8 (FGF8) has been shown to play a key role in prostate carcinogenesis. It was initially cloned as an androgen induced protein in mouse mammary cancer SC3 cells. In this study, we examined if FGF8 was also regulated by the androgen receptor in human prostate cancer. FGF8b protein expression in resected clinical prostate cancer correlated closely with expression of the androgen receptor (AR). In the androgen sensitive CWR22 prostate xenograft, we observed up-regulation of FGF8b immunoreactivity in testosterone supplemented mice while castration markedly reduced its signal. Furthermore, FGF8b protein expression in AR positive LNCaP cells was similarly enhanced by androgens. The proximal promoter of the human FGF8 gene was cloned into a luciferase reporter construct (FGF8.luc). FGF8.luc activity in AR positive LNCaP and SC3 cells was increased 2.5-fold by androgens. In AR negative DU145 cells, maximal induction of FGF8.luc required both co-transfection of the AR and the presence of androgens. The anti-androgen bicalutamide completely abolished AR mediated FGF8.luc induction. Deletion constructs from FGF8.luc have further defined an active promoter region and an androgen responsive region. Nucleotide analysis of this androgen responsive region has revealed putative androgen response elements. Finally, using ChIP assays we confirmed in vivo interaction between the AR and the androgen responsive region of the FGF8 promoter. Taken together these data provide first evidence that expression of the mitogen FGF8 in prostate cancer is, at least in part, regulated by the androgen receptor at the transcriptional level.


British Journal of Cancer | 2003

FGF8 isoform b expression in human prostate cancer

Vincent Gnanapragasam; Mary Robinson; C Marsh; Craig N. Robson; Freddie C. Hamdy; Hing Y. Leung

Overexpression of fibroblast growth factor 8 (FGF8) mRNA has been previously described in prostate cancer. Of its four isoforms, FGF8b is thought to be the most important in carcinogenesis. We hypothesised that immunodetection of FGF8b in archival prostate cancer specimens is of potential prognostic value. Using a selected cohort of prostate tumours from transurethral (n=30) and radical prostatectomies (n=59), an optimised protocol for FGF8b immunoreactivity was used to corroborate expression with clinical parameters. No expression was observed in benign prostates (n=10). In prostate cancer, immunoreactivity was localised to the malignant epithelium with weak signals in the adjacent stroma. Expression of FGF8b in stage T1 and T2 cancers were 40 and 67%, respectively. In contrast, FGF8b expression was present in 94% of T3 and 100% of T4 cancers. By histological grade, FGF8b was found in 41% of low-grade cancers (Gleason score 4–6), 60% of intermediate-grade cancers (Gleason score 7 and 92% of high-grade cancers (Gleason score 8–10). The intensity of expression was significantly associated with stage (P=0.0004) and grade (P<0.0001) of disease. We further hypothesised that FGF8b overexpression resulted from enhanced transcription and translation rather than from abnormalities involving the FGF8 gene locus. This was tested by means of fluorescent in situ hybridisation in 20 cancer specimens to map the FGF8 gene locus. FGF8 gene copy number in benign and malignant nuclei was found to be similar (2.33±0.57 and 2.0±0.81, respectively P=0.51). Based on these findings, we propose a multicentre study on cohorts of patients to further evaluate FGF8b as a potential prognostic marker in prostate cancer.


EBioMedicine | 2015

Integration of copy number and transcriptomics provides risk stratification in prostate cancer: A discovery and validation cohort study

Helen Ross-Adams; Alastair D. Lamb; Mark J. Dunning; Silvia Halim; Johan Lindberg; Charlie E. Massie; La Egevad; Roslin Russell; Antonio Ramos-Montoya; Sarah L. Vowler; Naomi L. Sharma; J. Kay; Hayley C. Whitaker; Jeremy Clark; Rachel Hurst; Vincent Gnanapragasam; Nimish Shah; Anne Warren; Colin S. Cooper; Andy G. Lynch; Rory Stark; Ian G. Mills; Henrik Grönberg; David E. Neal

Background Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome. Methods In a study of 482 tumour, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic loci that affect expression levels of mRNA in an expression quantitative trait loci (eQTL) approach, to stratify patients into subgroups that we then associated with future clinical behaviour, and compared with either CNA or transcriptomics alone. Findings We identified five separate patient subgroups with distinct genomic alterations and expression profiles based on 100 discriminating genes in our separate discovery and validation sets of 125 and 103 men. These subgroups were able to consistently predict biochemical relapse (p = 0.0017 and p = 0.016 respectively) and were further validated in a third cohort with long-term follow-up (p = 0.027). We show the relative contributions of gene expression and copy number data on phenotype, and demonstrate the improved power gained from integrative analyses. We confirm alterations in six genes previously associated with prostate cancer (MAP3K7, MELK, RCBTB2, ELAC2, TPD52, ZBTB4), and also identify 94 genes not previously linked to prostate cancer progression that would not have been detected using either transcript or copy number data alone. We confirm a number of previously published molecular changes associated with high risk disease, including MYC amplification, and NKX3-1, RB1 and PTEN deletions, as well as over-expression of PCA3 and AMACR, and loss of MSMB in tumour tissue. A subset of the 100 genes outperforms established clinical predictors of poor prognosis (PSA, Gleason score), as well as previously published gene signatures (p = 0.0001). We further show how our molecular profiles can be used for the early detection of aggressive cases in a clinical setting, and inform treatment decisions. Interpretation For the first time in prostate cancer this study demonstrates the importance of integrated genomic analyses incorporating both benign and tumour tissue data in identifying molecular alterations leading to the generation of robust gene sets that are predictive of clinical outcome in independent patient cohorts.


British Journal of Cancer | 2014

Identification of pathologically insignificant prostate cancer is not accurate in unscreened men

Greg Shaw; Benjamin Thomas; Sarah Dawson; G Srivastava; Sarah L. Vowler; Vincent Gnanapragasam; Nimish Shah; Anne Warren; David E. Neal

Background:Identification of men harbouring insignificant prostate cancer (PC) is important in selecting patients for active surveillance. Tools have been developed in PSA-screened populations to identify such men based on clinical and biopsy parameters.Methods:Prospectively collected case series of 848 patients was treated with radical prostatectomy between July 2007 and October 2011 at an English tertiary care centre. Tumour volume was assessed by pathological examination. For each tool, receiver operator characteristics were calculated for predicting insignificant disease by three different criteria and the area under each curve compared. Comparison of accuracy in screened and unscreened populations was performed.Results:Of 848 patients, 415 had Gleason 3+3 disease on biopsy. Of these, 32.0% had extra-prostatic extension and 50.2% were upgraded. One had positive lymph nodes. Two hundred and six (24% of cohort) were D’Amico low risk. Of these, 143 had more than two biopsy cores involved. None of the tools evaluated has adequate discriminative power in predicting insignificant tumour burden. Accuracy is low in PSA-screened and -unscreened populations.Conclusions:In our unscreened population, tools designed to identify insignificant PC are inaccurate. Detection of a wider size range of prostate tumours in the unscreened may contribute to relative inaccuracy.

Collaboration


Dive into the Vincent Gnanapragasam's collaboration.

Top Co-Authors

Avatar

Anne Warren

Cambridge University Hospitals NHS Foundation Trust

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Andrew Doble

University of Cambridge

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Nimish Shah

University of Cambridge

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Brendan Koo

University of Cambridge

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge