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Biology subjects

Wilson, Z.

Publications and source records attributed to Wilson, Z..

2 recordsLinked to original sources

Identifying strategies to target the metabolic flexibility of tumours.

Plasticity of cancer metabolism can be a major obstacle for efficient targeting of tumour-specific metabolic vulnerabilities. Here, we identify and quantify the compensatory mechanisms following the inhibition of major pathways of central carbon metabolism in c-MYC-induced liver tumours. We find that glutaminase isoform Gls2, expressed in normal liver, compensates for the deletion of Gls1 isoform expressed in tumours. Inhibiting both glutaminases significantly delays tumourigenesis but does not completely block glutamine catabolism through the Krebs cycle. We reveal that glutamine catabolism is then driven by amidotransferases. Consistently, the synergistic effect of glutaminase and amidotransferase inhibitors on proliferation of mouse and human tumour cells is observed in vitro and in vivo. Furthermore, when Gls1 is deleted the Krebs cycle activity and tumour formation can also be significantly affected if glycolysis is co-inhibited (Gls1KO/Hk2KO). Finally, the inhibition of either serine (Psat1KO) or fatty acid (FasnKO) biosynthesis can be compensated by uptake of circulating nutrients. Thus, removing these nutrients from the diet produces synergistic effects on suppression of tumourigenesis. These results highlight the high flexibility of tumour metabolism and demonstrate how targeting compensatory mechanisms can improve a therapeutic outcome.

cancer biology↗

An innovative non-invasive technique for subcutaneous tumour measurements

In oncological drug development, animal studies continue to play a central role in which the volume of subcutaneous tumours is monitored to assess the efficacy of new drugs. Tumour volume is currently estimated by measuring length and width with callipers and then estimating the volume of the tumour as if it were a regular spheroid. However, this method is subjective, insufficiently traceable, and is subject to error in the accuracy of volume estimates as tumours frequently are irregular.\n\nThis paper explores the extent of inconsistencies in calliper measurements by conducting a statistical review of a large dataset consisting of 2,500 tumour volume measurements from 1,600 mice by multiple operators across 6 mouse strains and 20 tumour models. We also explore the impact of six different tumour morphologies on volume estimation and the detection of treatment effects using a computational tumour growth model. Finally, we propose an alternative method to callipers for estimating volume - BioVolume, a 3D scanning technique. BioVolume simultaneously captures both stereo RGB (Red, Green and Blue) images from different light sources and infrared thermal images of the tumour. It detects the tumour region automatically and estimates the tumour volume in under a second. BioVolume has been tested on a dataset of 297 scans from over 120 mice collected by four different operators.\n\nThis work demonstrates that it is possible to record tumour measurements in a rapid, minimally invasive, morphology-independent way, and with less human-bias compared to callipers, whilst also improving data traceability. Furthermore, the images collected by BioVolume may be useful, for example, as a source of biomarkers for animal welfare and secondary drug toxicity / efficacy.

cancer biology↗