Kwun-Ye Chu
University of Oxford
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Publication
Featured researches published by Kwun-Ye Chu.
Clinical Cancer Research | 2016
Esme J. Hill; Corran Roberts; Jamie Franklin; Monica Enescu; Nicholas P. West; Thomas P. MacGregor; Kwun-Ye Chu; Lucy Boyle; Claire Blesing; Lai-Mun Wang; Somnath Mukherjee; Ewan M. Anderson; Gina Brown; Susan Dutton; Sharon Love; Julia A. Schnabel; Phil Quirke; Ruth J. Muschel; W.G. McKenna; Michael Partridge; Ricky A. Sharma
Purpose: Nelfinavir, a PI3K pathway inhibitor, is a radiosensitizer that increases tumor blood flow in preclinical models. We conducted an early-phase study to demonstrate the safety of nelfinavir combined with hypofractionated radiotherapy (RT) and to develop biomarkers of tumor perfusion and radiosensitization for this combinatorial approach. Experimental Design: Ten patients with T3-4 N0-2 M1 rectal cancer received 7 days of oral nelfinavir (1,250 mg b.i.d.) and a further 7 days of nelfinavir during pelvic RT (25 Gy/5 fractions/7 days). Perfusion CT (p-CT) and DCE-MRI scans were performed pretreatment, after 7 days of nelfinavir and prior to the last fraction of RT. Biopsies taken pretreatment and 7 days after the last fraction of RT were analyzed for tumor cell density (TCD). Results: There were 3 drug-related grade 3 adverse events: diarrhea, rash, and lymphopenia. On DCE-MRI, there was a mean 42% increase in median Ktrans, and a corresponding median 30% increase in mean blood flow on p-CT during RT in combination with nelfinavir. Median TCD decreased from 24.3% at baseline to 9.2% in biopsies taken 7 days after RT (P = 0.01). Overall, 5 of 9 evaluable patients exhibited good tumor regression on MRI assessed by tumor regression grade (mrTRG). Conclusions: This is the first study to evaluate nelfinavir in combination with RT without concurrent chemotherapy. It has shown that nelfinavir-RT is well tolerated and is associated with increased blood flow to rectal tumors. The efficacy of nelfinavir-RT versus RT alone merits clinical evaluation, including measurement of tumor blood flow. Clin Cancer Res; 22(8); 1922–31. ©2016 AACR. See related commentary by Meyn et al., p. 1834
Radiotherapy and Oncology | 2013
Emmanouil Fokas; C. Eccles; Neel Patel; Kwun-Ye Chu; S. Warren; W. Gillies McKenna; Thomas Brunner
BACKGROUND AND PURPOSE Contouring of target volumes varies significantly in radiotherapy of pancreatic ductal adenocarcinoma (PDAC). There is a lack of consensus as to whether elective lymph nodes (eLNs) should be included or not in the planning target volume (PTV). In the present study we analyzed the dosimetric coverage of the eLNs and organs at risk (OAR) by comparing four different contouring guidelines. METHODS AND MATERIALS PTVs were delineated with (Oxford and RTOG guidelines) or without (Michigan and SCALOP guidelines) including the eLNs in eleven patients with PDAC. eLNs included the peripancreatic, paraaortic, paracaval, celiac trunk, superior mesenteric and portal vein clinical target volumes (CTVs). A 3D-CRT plan (50.40 Gy in 28 fractions) was performed to analyze and compare the dosimetric coverage of all eLNs and OAR between the 4 contouring guidelines. RESULTS The size of Oxford and RTOG PTVs was comparable and significantly larger than the SCALOP and Michigan PTVs. Interestingly the eLNs received a significant amount of incidental dose irradiation by PTV-based plans that only aimed to treat the tumor without the eLNs. The dosimetric coverage of eLN presented a large variability according to the respective contouring methods. The difference in the size of the 4 PTVs was reflected to the dose distribution at the OAR. CONCLUSIONS Our study provides important information regarding the impact of different contouring guidelines on the dose distribution to the eLNs and the OAR in patients with locally advanced PDAC treated with radiotherapy.
Radiation Oncology | 2014
J.M. Wilson; Somnath Mukherjee; Kwun-Ye Chu; Thomas Brunner; Mike Partridge; M. Hawkins
BackgroundThe best method of identifying regions within pancreatic tumours that might benefit from an increased radiotherapy dose is not known. We investigated the utility of pre-treatment FDG-PET in predicting the spatial distribution of residual metabolic activity following chemoradiotherapy (CRT) in locally advanced pancreatic cancer (LAPC).Methods17 patients had FDG-PET/CT scans at baseline and six weeks post-CRT. Tumour segmentation was performed at 40% and 50% of SUVmax at baseline and 60%, 70%, 80% and 90% post-CRT. FDG-PET scans were non-rigidly registered to the radiotherapy planning CT using the CT component of the FDG-PET/CT. Percentage overlap of the post-CRT volumes with the pre-CRT volumes with one another and the gross tumour volume (GTV) was calculated.ResultsSUVmax decreased during CRT (median pre- 8.0 and post- 3.6, p < 0.0001). For spatial correlation analysis, 9 pairs of scans were included (Four were excluded following complete metabolic response, one patient had a non-FDG avid tumour, one had no post-CRT imaging, one had diffuse FDG uptake that could not be separated from normal tissues and one had an elevated blood glucose). The Pre40% and 50% of SUVmax volumes covered a mean of 50.8% and 30.3% of the GTV respectively. The mean% overlap of the 90%, 80%, 70%, 60% of SUVmax post-CRT with the Pre40% and Pre50% volumes were 83.3%, 84.0%, 83.7%, 77.9% and 77.8%, 69.9%, 74.5%, 64.8% respectively.ConclusionsRegions of residual metabolic activity following CRT can be predicted from the baseline FDG-PET and could aid definition of a biological target volume for non-uniform dose prescriptions.
Radiotherapy and Oncology | 2016
J.M. Wilson; Emmanouil Fokas; Susan Dutton; Neel Patel; M. Hawkins; C. Eccles; Kwun-Ye Chu; Lisa Durrant; Aswin G. Abraham; Mike Partridge; Martha Woodward; Eric O’Neill; Tim Maughan; W. Gillies McKenna; Somnath Mukherjee; Thomas Brunner
Oncotarget | 2015
Gaganpreet S. Tiwana; Remko Prevo; Francesca M. Buffa; Sheng Yu; Daniel Ebner; Alison Howarth; Lisa K. Folkes; Balam Budwal; Kwun-Ye Chu; Lisa Durrant; Ruth J. Muschel; W. Gillies McKenna; Geoff S. Higgins
Strahlentherapie Und Onkologie | 2013
Emmanouil Fokas; C. Eccles; Neel Patel; Kwun-Ye Chu; S. Warren; W. Gillies McKenna; Thomas Brunner
Journal of Medical Imaging and Radiation Sciences | 2015
Kwun-Ye Chu; C. Eccles; Thomas Brunner
Radiotherapy and Oncology | 2017
D. Holyoake; R. Cooke; Kwun-Ye Chu; A. Buckle; M. Hawkins
Radiotherapy and Oncology | 2017
T. Greenhalgh; J.M. Wilson; T. Puri; J. Franklin; L. Wang; R. Goldin; Kwun-Ye Chu; V. Strauss; Mike Partridge; Tim Maughan
Radiotherapy and Oncology | 2017
D. Holyoake; R. Cooke; Kwun-Ye Chu; A. Buckle; M. Hawkins