In Situ Metabolomics Expands the Spectrum of Renal Tumours Positive on 99mTc-sestamibi Single Photon Emission Computed Tomography/Computed Tomography Examination
Autor: | Axel Walch, Antonios Tzortzakakis, Rimma Axelsson, Thomas G. Papathomas, Georgia Kokaraki, Béla Bozóky, Alexandros Arvanitis, Franziska Erlmeier, Wanzhong Wang, Kiril Trpkov, A Bazarova, Annette Feuchtinger, Na Sun |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
In situ
medicine.diagnostic_test business.industry Urology Chromophobe Renal Cell Carcinoma Computed tomography Chromophobe cell Single-photon emission computed tomography 99mTc Sestamibi Kidney Cancer lcsh:Diseases of the genitourinary system. Urology lcsh:RC870-923 lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens lcsh:RC254-282 Mass spectrometry imaging Metabolomics 99mTc-sestamibi SPECT/CT medicine 99mtc-sestamibi Spect/ct Renal Tumour/in Situ Metabolomics Nuclear medicine business Renal tumour/in situ metabolomics |
Zdroj: | European Urology Open Science, Vol 22, Iss, Pp 88-96 (2020) European Urology Open Science Eu. Urol. Open Sci. 22, 88-96 (2020) |
ISSN: | 2666-1683 |
Popis: | Background Definite noninvasive characterisation of renal tumours positive on 99mTc-sestamibi single photon emission computed tomography/computed tomography (SPECT/CT) examination including renal oncocytomas (ROs), hybrid oncocytic chromophobe tumours (HOCTs), and chromophobe renal cell carcinoma (chRCC) is currently not feasible. Objective To investigate whether combined 99mTc-sestamibi SPECT/CT and in situ metabolomic profiling can accurately characterise renal tumours exhibiting 99mTc-sestamibi uptake. Design, setting, and participants A tissue microarray analysis of 33 tumour samples from 28 patients was used to investigate whether their in situ metabolomic status correlates with their features on 99mTc-sestamibi SPECT/CT examination. In order to validate emerging data, an independent cohort comprising 117 tumours was subjected to matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI MSI). Outcome measurements and statistical analysis MALDI MSI data analysis and image generation were facilitated by FlexImaging v. 4.2, while k-means analysis by SCiLS Lab software followed by R-package CARRoT analysis was used for assessing the highest predictive power in the differential of RO versus chRCC. Heatmap-based clustering, sparse partial least-squares discriminant analysis, and volcano plots were created with MetaboAnalyst 3.0. Results and limitations We identified a discriminatory metabolomic signature for 99mTc-sestamibi SPECT/CT–positive Birt-Hogg-Dubè–associated HOCTs versus other renal oncocytic tumours. Metabolomic differences were also evident between 99mTc-sestamibi–positive and 99mTc-sestamibi–negative chRCCs, prompting additional expert review; two of three 99mTc-sestamibi–positive chRCCs were reclassified as low-grade oncocytic tumours (LOTs). Differences were identified between distal-derived tumours from those of proximal tubule origin, including differences between ROs and chRCCs. Conclusions The current study expands the spectrum of 99mTc-sestamibi SPECT/CT–positive renal tumours, encompassing ROs, HOCTs, LOTs, and chRCCs, and supports the feasibility of in situ metabolomic profiling in the diagnostics and classification of renal tumours. Patient summary For preoperative evaluation of solid renal tumours, 99mTc-sestamibi single photon emission computed tomography/computed tomography (SPECT/CT) is a novel examination method. To increase diagnostic accuracy, we propose that 99mTc-sestamibi–positive renal tumours should be biopsied and followed by a combined histometabolomic analysis. Take Home Message Our study provides novel molecular insights into renal neoplasia, and supports the feasibility of integrated in situ metabolomic profiling for the diagnostics and classification of renal tumours. The results of this study suggest that renal tumours positive on 99mTc-sestamibi single photon emission computed tomography/computed tomography should be biopsied and analysed in an integrated fashion to inform clinical management. |
Databáze: | OpenAIRE |
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