Nicholas Van As
The Royal Marsden NHS Foundation Trust
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Featured researches published by Nicholas Van As.
Lancet Oncology | 2013
A. Tree; Vincent Khoo; Rosalind Eeles; Merina Ahmed; David P. Dearnaley; M. Hawkins; Robert Huddart; Christopher M. Nutting; Peter Ostler; Nicholas Van As
The management of metastatic solid tumours has historically focused on systemic treatment given with palliative intent. However, radical surgical treatment of oligometastases is now common practice in some settings. The development of stereotactic body radiotherapy (SBRT), building on improvements in delivery achieved by intensity-modulated and image-guided radiotherapy, now allows delivery of ablative doses of radiation to extracranial sites. Many non-randomised studies have shown that SBRT for oligometastases is safe and effective, with local control rates of about 80%. Importantly, these studies also suggest that the natural history of the disease is changing, with 2-5 year progression-free survival of about 20%. Although complete cure might be possible in a few patients with oligometastases, the aim of SBRT in this setting is to achieve local control and delay progression, and thereby also postpone the need for further treatment. We review published work showing that SBRT offers durable local control and the potential for progression-free survival in non-liver, non-lung oligometastatic disease at a range of sites. However, to test whether SBRT really does improve progression-free survival, randomised trials will be essential.
European Urology | 2008
Nicholas Van As; Andrew R. Norman; Karen Thomas; Vincent Khoo; Alan Thompson; Robert Huddart; A. Horwich; David P. Dearnaley; Chris Parker
OBJECTIVES Outcome data from a prospective study of active surveillance of localised prostate cancer were analysed to identify factors, present at the time of diagnosis, that predict subsequent radical treatment. METHODS Eligible patients had clinical stage T1-T2a, N0-Nx, M0-Mx adenocarcinoma of the prostate with serum PSA<15 ng/ml, Gleason score <or= 7, primary Gleason grade <or= 3, and % positive biopsy cores (pbc) <or= 50%. Monitoring included serial PSA measurement and repeat prostate biopsies. Radical treatment was initiated in the event of biochemical progression (PSA velocity > 1 ng/ml/yr) or histological progression (primary Gleason grade >or= 4, or %pbc > 50%). Multivariate Cox regression analysis of baseline variables was performed with respect to time to radical treatment. RESULTS The 326 men recruited from 2002 to 2006 have been followed for a median of 22 mo. Median age was 67 yr, and median initial PSA (iPSA) 6.4 ng/ml. Sixty-five patients (20%) had deferred radical treatment, 16 (5%) changed to watchful waiting because of increasing comorbidity, 7 (2%) died of other causes, and 238 (73%) remain on surveillance. On multivariate Cox regression analysis, the free/total PSA ratio (p<0.001) and clinical T stage (p=0.006) were independent determinants of time to radical treatment. CONCLUSIONS In addition to established prognostic factors, the free/total PSA ratio may predict time to radical treatment in patients with untreated, localised prostate cancer managed by active surveillance. This possibility warrants further study.
European Urology | 2009
Nicholas Van As; Nandita M. de Souza; Sophie F. Riches; Veronica A. Morgan; Sayid A. Sohaib; David P. Dearnaley; Chris Parker
BACKGROUND Markers that predict the behaviour of localised prostate cancer are needed to identify patients that require treatment. OBJECTIVE We have analysed the apparent diffusion coefficient (ADC) generated from diffusion-weighted magnetic resonance imaging (DW-MRI) with respect to repeat biopsy findings and time to radical treatment in patients in a prospective study of active surveillance. DESIGN, SETTING, AND PARTICIPANTS Some 86 men recruited between 2002 and 2006 were followed for a median of 29 mo. Patients had clinical stage T1/T2a N0/Nx M0/Mx adenocarcinoma of the prostate, prostate-specific antigen (PSA) level<15 ng/ml, Gleason score≤7, primary Gleason grade≤3, and positive biopsy cores (pbc)≤50%. MEASUREMENTS All patients had DW-MRI in addition to standard MRI sequences. Tumour regions of interest (ROIs) were identified using T2-weighted fast-spin echo images as focal areas of restricted diffusion. Univariate analyses including all clinical variables and tumour ADC data were performed with respect to repeat biopsy findings and time to radical treatment. Receiver operating curves (ROC) compared predictive variables. RESULTS AND LIMITATIONS Patients in the study had a median age of 66 yr and a median initial PSA level of 6.7 ng/ml. Some 39 patients (45%) received deferred radical treatment, and 34 patients (40%) had adverse histology on repeat biopsy. According to univariate analysis, tumour ADC was a significant predictor of both adverse repeat biopsy findings (p<0.0001; hazard ratio [HR]: 1.3; 95% confidence interval [CI]: 1.1-1.6), and time to radical treatment (p<0.0001; HR: 1.5; 95% CI: 1.2-1.8). ROC curves for ADC showed an area under the curve (AUC) of 0.7 for prediction of adverse repeat biopsy findings and an AUC of 0.83 for prediction of radical treatment. CONCLUSIONS In patients with low-risk, localised disease, tumour ADC on DW-MRI may be a useful marker of prostate cancer progression and may help to identify patients who stand to benefit from radical treatment. This possibility warrants further study.
European Urology | 2016
Piet Ost; Barbara Alicja Jereczek-Fossa; Nicholas Van As; Thomas Zilli; Alexander Muacevic; Kenneth R. Olivier; D. Henderson; Franco Casamassima; Roberto Orecchia; Alessia Surgo; Lindsay C. Brown; A. Tree; Raymond Miralbell; Gert De Meerleer
UNLABELLED The literature on metastasis-directed therapy for oligometastatic prostate cancer (PCa) recurrence consists of small heterogeneous studies. This study aimed to reduce the heterogeneity by pooling individual patient data from different institutions treating oligometastatic PCa recurrence with stereotactic body radiotherapy (SBRT). We focussed on patients who were treatment naive, with the aim of determining if SBRT could delay disease progression. We included patients with three or fewer metastases. The Kaplan-Meier method was used to estimate distant progression-free survival (DPFS) and local progression-free survival (LPFS). Toxicity was scored using the Common Terminology Criteria for Adverse Events. In total, 163 metastases were treated in 119 patients. The median DPFS was 21 mo (95% confidence interval, 15-26 mo). A lower radiotherapy dose predicted a higher local recurrence rate with a 3-yr LPFS of 79% for patients treated with a biologically effective dose ≤100Gy versus 99% for patients treated with >100Gy (p=0.01). Seventeen patients (14%) developed toxicity classified as grade 1, and three patients (3%) developed grade 2 toxicity. No grade ≥3 toxicity occurred. These results should serve as a benchmark for future prospective trials. PATIENT SUMMARY This multi-institutional study pools all of the available data on the use of stereotactic body radiotherapy for limited prostate cancer metastases. We concluded that this approach is safe and associated with a prolonged treatment progression-free survival.
BJUI | 2012
Hashim U. Ahmed; Oguz Akin; Jonathan A. Coleman; Sarah Crane; Mark Emberton; Larry Goldenberg; Hedvig Hricak; M. Kattan; John Kurhanewicz; Caroline M. Moore; Chris Parker; Thomas J. Polascik; Peter T. Scardino; Nicholas Van As; Arnauld Villers
Whats known on the subject? and What does the study add?
Genetic Epidemiology | 2011
Robert J. MacInnis; Antonis C. Antoniou; Rosalind Eeles; Gianluca Severi; Ali Amin Al Olama; Lesley McGuffog; Zsofia Kote-Jarai; Michelle Guy; Lynne T. O'Brien; Amanda L. Hall; Rosemary A. Wilkinson; Emma J. Sawyer; Audrey Ardern-Jones; David P. Dearnaley; A. Horwich; Vincent Khoo; Chris Parker; Robert Huddart; Nicholas Van As; Margaret McCredie; Dallas R. English; Graham G. Giles; John L. Hopper; Douglas F. Easton
Genome wide association studies have identified several single nucleotide polymorphisms (SNPs) that are independently associated with small increments in risk of prostate cancer, opening up the possibility for using such variants in risk prediction. Using segregation analysis of population‐based samples of 4,390 families of prostate cancer patients from the UK and Australia, and assuming all familial aggregation has genetic causes, we previously found that the best model for the genetic susceptibility to prostate cancer was a mixed model of inheritance that included both a recessive major gene component and a polygenic component (P) that represents the effect of a large number of genetic variants each of small effect, where . Based on published studies of 26 SNPs that are currently known to be associated with prostate cancer, we have extended our model to incorporate these SNPs by decomposing the polygenic component into two parts: a polygenic component due to the known susceptibility SNPs, , and the residual polygenic component due to the postulated but as yet unknown genetic variants, . The resulting algorithm can be used for predicting the probability of developing prostate cancer in the future based on both SNP profiles and explicit family history information. This approach can be applied to other diseases for which population‐based family data and established risk variants exist. Genet. Epidemiol. 2011.
BJUI | 2009
Michael K. Ng; Nicholas Van As; Karen Thomas; Ruth Woode-Amissah; A. Horwich; Robert Huddart; Vincent Khoo; Alan Thompson; David P. Dearnaley; Chris Parker
To compare the accuracy of prostate‐specific antigen (PSA) velocity (PSAV) vs PSA doubling time (DT) for predicting the repeat biopsy results in men with localized prostate cancer on active surveillance (AS), as the utility of PSAV vs PSADT in untreated prostate cancer has not been well studied.
Cancer Journal | 2007
Nicholas Van As; Chris Parker
The challenge of managing localized prostate cancer is to distinguish patients with clinically relevant cancers, who may benefit from radical treatment, from the remainder who do not need any intervention. Active surveillance with selective radial intervention is a management strategy that offers patients the hope of avoiding “unnecessary” treatment without detriment to their long-term survival. Here we discuss the rationale for active surveillance, and the early results. There is no consensus on the optimum active surveillance protocol, with uncertainty regarding the interpretation of PSA kinetics, repeat biopsy results and prostate imaging. In the future, it is likely that molecular markers will revolutionize our ability to select patients who will benefit from definitive treatment. In the meantime, active surveillance provides an attractive way of reducing over treatment.
European Urology | 2016
D. Henderson; Nandita M. de Souza; Karen Thomas; Sophie F. Riches; Veronica A. Morgan; S.A. Sohaib; David P. Dearnaley; Chris Parker; Nicholas Van As
BACKGROUND In active surveillance (AS) for prostate cancer there are few data on long-term outcomes associated with novel imaging markers. OBJECTIVE To determine long-term outcomes with respect to the apparent diffusion coefficient (ADC) derived from diffusion-weighted magnetic resonance imaging (DW-MRI) in a prospective AS cohort. Early results have already been published; we now present findings with long-term follow-up. DESIGN, SETTING, AND PARTICIPANTS A subset of patients (n=86) underwent pre-enrolment DW-MRI in a prospective AS study between 2002 and 2006. Inclusion criteria were untreated prostate cancer, clinical T1/T2a/N0M0, Gleason ≤ 3+4, and prostate-specific antigen (PSA) <15 ng/ml. Protocol follow-up was by biopsy at 18-24 mo and then every 24 mo, with regular PSA measurement. INTERVENTION Men underwent baseline DW-MRI in addition to standard sequences. ADC was measured from the index lesion on T2-weighted images. To avoid influencing treatment decisions, DW-MRI sequence results were not available to the AS study investigators. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Baseline ADC was analysed with respect to time to radical treatment (TRT) and time to adverse histology (TAH). Kaplan-Meier analysis and univariate and multivariate regression analyses were performed. RESULTS AND LIMITATIONS The median follow-up was 9.5 yr (interquartile range 7.9-10.0 yr). On univariate analysis, ADC below the median was associated with shorter TAH (hazard ratio [HR] 2.13, 95% confidence interval [CI] 1.17-3.89; p<0.014) and TRT (HR 2.54, 95% CI 1.49-4.32; p<0.001). Median TRT was 9.3 yr (95% CI 7.0-11.6 yr) for patients with ADC above the median and only 2.4 yr (95% CI 1.5-6.0 yr) for ADC below the median. For TRT, addition of ADC to a multivariate model of baseline variables resulted in a significant improvement in model fit (HR 1.33, 95% CI 1.14-1.54; p<0.001). Receiver operating characteristic analysis for TRT revealed an area under the curve of 0.80 (95% CI 0.70-0.88). The number of variables included in the multivariate model was limited by sample size. CONCLUSIONS Long-term follow-up for this study provides strong evidence that ADC is a useful marker when selecting patients for AS. Routine DW-MRI is now being evaluated in our ongoing AS study for initial assessment and as an alternative to repeat biopsy. PATIENT SUMMARY Before entering a study of close monitoring for the initial management of prostate cancer, patients had a type of magnetic resonance imaging scan that looks at the movement of water within cancers. These scans may help in predicting whether patients should receive close monitoring or whether immediate treatment should be given.
BJUI | 2011
Asim Afaq; Dow-Mu Koh; Anwar R. Padhani; Nicholas Van As; S. Aslam Sohaib
Study Type – Diagnostic (exploratory cohort)