Literature DB >> 21153447

Impact of cell-proliferation-associated gene expression on 2-deoxy-2-[(18)f]fluoro-D-glucose (FDG) kinetics as measured by dynamic positron emission tomography (dPET) in colorectal tumors.

Ludwig G Strauss1, Dirk Koczan, Sven Klippel, Leyun Pan, Caixia Cheng, Uwe Haberkorn, Stefan Willis, Antonia Dimitrakopoulou-Strauss.   

Abstract

INTRODUCTION: Glucose transporters and hexokinases determine the kinetics of 2-deoxy-2-[(18)F]fluoro-D: -glucose (FDG). However, the genes controlling these proteins are not independent and may be modulated from other biological processes, e.g., like angiogenesis and proliferation. The impact of cell-proliferation-related genes on the FDG kinetics was assessed in colorectal tumors in this study.
METHODS: Patients with primary colorectal tumors (n = 25) were examined with positron emission tomography and FDG within 2 days prior to surgery. Tissue specimens were obtained from the colorectal tumor and the normal colon by surgery and gene expression was assessed using gene arrays.
RESULTS: Overall, an increase of the expression of proliferation associated genes was observed by a factor of 2-5.3 for the colorectal tumors as compared with the normal colon. Correlation analysis revealed an impact of cdk2 on K1, thus directing to a modulation of the FDG uptake into the cells. The correlations were generally higher for the FDG influx as compared with the standardized uptake value (SUV). The influx was mainly correlated with proliferation inhibiting genes (cyclin G2, cdk inhibitor 1 C, cdk inhibitor 2B). It was possible to predict the expression of cyclin D2 using a multiple linear regression function and the parameters of the FDG kinetics with r = 0.67. Using a group based analysis it was possible to demonstrate, that tumors with an SUV >12 are associated with a high expression of cyclin D2 in the colorectal tumors. If the gene expression data for cyclin D1, cyclin G2, cdk2, cdk6 and cdk inhibtor 2B were used, the overall FDG uptake as measured by the SUV could be predicted with r = 0.75.
CONCLUSIONS: The results suggest that the FDG kinetics is modulated by proliferation associated genes. Especially K1, the parameter for the FDG transport into the cells, is modulated by cdk2. Tumors with a SUV exceeding 12 have usually a higher expression of cyclin D2. The parameters of the FDG kinetics can be used to predict the expression of proliferation associated genes individually.

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Year:  2010        PMID: 21153447     DOI: 10.1007/s11307-010-0465-z

Source DB:  PubMed          Journal:  Mol Imaging Biol        ISSN: 1536-1632            Impact factor:   3.488


  25 in total

1.  Fusion of positron emission tomography (PET) and gene array data: a new approach for the correlative analysis of molecular biological and clinical data.

Authors:  Ludwig G Strauss; Leyun Pan; Dirk Koczan; Sven Klippel; Krzysztof Mikolajczyk; Cyrill Burger; Uwe Haberkorn; Klaus Schönleben; Hans-Jürgen Thiesen; Antonia Dimitrakopoulou-Strauss
Journal:  IEEE Trans Med Imaging       Date:  2007-06       Impact factor: 10.048

2.  The role of 18F-FLT in cancer imaging: does it really reflect proliferation?

Authors:  Antonia Dimitrakopoulou-Strauss; Ludwig G Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-03       Impact factor: 9.236

3.  Cyclin D1 determines mitochondrial function in vivo.

Authors:  Toshiyuki Sakamaki; Mathew C Casimiro; Xiaoming Ju; Andrew A Quong; Sanjay Katiyar; Manran Liu; Xuanmao Jiao; Anping Li; Xueping Zhang; Yinan Lu; Chenguang Wang; Stephen Byers; Robert Nicholson; Todd Link; Melvin Shemluck; Jianguo Yang; Stanley T Fricke; Phyllis M Novikoff; Alexandros Papanikolaou; Andrew Arnold; Christopher Albanese; Richard Pestell
Journal:  Mol Cell Biol       Date:  2006-07       Impact factor: 4.272

4.  Lung cancer proliferation correlates with [F-18]fluorodeoxyglucose uptake by positron emission tomography.

Authors:  H Vesselle; R A Schmidt; J M Pugsley; M Li; S G Kohlmyer; E Vallires; D E Wood
Journal:  Clin Cancer Res       Date:  2000-10       Impact factor: 12.531

5.  Dynamic PET 18F-FDG studies in patients with primary and recurrent soft-tissue sarcomas: impact on diagnosis and correlation with grading.

Authors:  A Dimitrakopoulou-Strauss; L G Strauss; M Schwarzbach; C Burger; T Heichel; F Willeke; G Mechtersheimer; T Lehnert
Journal:  J Nucl Med       Date:  2001-05       Impact factor: 10.057

6.  Dependence of FDG uptake on tumor microenvironment.

Authors:  Andrei Pugachev; Shutian Ruan; Sean Carlin; Steven M Larson; Jose Campa; C Clifton Ling; John L Humm
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-06-01       Impact factor: 7.038

7.  Colorectal tumor vascularity: quantitative assessment with multidetector CT--do tumor perfusion measurements reflect angiogenesis?

Authors:  Vicky Goh; Steve Halligan; Frances Daley; David M Wellsted; Thomas Guenther; Clive I Bartram
Journal:  Radiology       Date:  2008-09-23       Impact factor: 11.105

8.  Distribution of renal tumor growth rates determined by using serial volumetric CT measurements.

Authors:  Jingbo Zhang; Stella K Kang; Liang Wang; Abdelkarim Touijer; Hedvig Hricak
Journal:  Radiology       Date:  2009-01       Impact factor: 11.105

9.  Imaging proliferation in lung tumors with PET: 18F-FLT versus 18F-FDG.

Authors:  Andreas K Buck; Gisela Halter; Holger Schirrmeister; Jörg Kotzerke; Imke Wurziger; Gerhard Glatting; Torsten Mattfeldt; Bernd Neumaier; Sven N Reske; Martin Hetzel
Journal:  J Nucl Med       Date:  2003-09       Impact factor: 10.057

10.  Assessment of quantitative FDG PET data in primary colorectal tumours: which parameters are important with respect to tumour detection?

Authors:  Ludwig G Strauss; Sven Klippel; Leyun Pan; Klaus Schönleben; Uwe Haberkorn; Antonia Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-01-12       Impact factor: 10.057

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  9 in total

Review 1.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Authors:  Giampaolo Tomasi; Federico Turkheimer; Eric Aboagye
Journal:  Mol Imaging Biol       Date:  2012-04       Impact factor: 3.488

2.  Dynamic PET with (18)F-Deoxyglucose (FDG) and quantitative assessment with a two-tissue compartment model reflect the activity of glucose transporters and hexokinases in patients with colorectal tumors.

Authors:  Ludwig G Strauss; Dirk Koczan; Sven Klippel; Leyun Pan; Stefan Willis; Christos Sachpekidis; Antonia Dimitrakopoulou-Strauss
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-09-19

3.  Expert consensus on oncological [18F]FDG total-body PET/CT imaging (version 1).

Authors:  Haojun Yu; Yushen Gu; Wei Fan; Yongju Gao; Meiyun Wang; Xiaohua Zhu; Zhifang Wu; Jianjun Liu; Biao Li; Hubing Wu; Zhaoping Cheng; Shuxia Wang; Yiqiu Zhang; Baixuan Xu; Sijin Li; Hongcheng Shi
Journal:  Eur Radiol       Date:  2022-06-25       Impact factor: 5.315

4.  Radiogenomic analysis of primary breast cancer reveals [18F]-fluorodeoxglucose dynamic flux-constants are positively associated with immune pathways and outperform static uptake measures in associating with glucose metabolism.

Authors:  G P Ralli; R D Carter; F M Buffa; J D Fenwick; D R McGowan; W-C Cheng; D Liu; E J Teoh; N Patel; F Gleeson; A L Harris; S R Lord
Journal:  Breast Cancer Res       Date:  2022-05-17       Impact factor: 8.408

5.  Correlation of dynamic PET and gene array data in patients with gastrointestinal stromal tumors.

Authors:  Ludwig G Strauss; Antonia Dimitrakopoulou-Strauss; Dirk Koczan; Leyun Pan; Peter Hohenberger
Journal:  ScientificWorldJournal       Date:  2012-06-04

6.  Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Authors:  Efstathios-Iason Vlachavas; Eleftherios Pilalis; Olga Papadodima; Dirk Koczan; Stefan Willis; Sven Klippel; Caixia Cheng; Leyun Pan; Christos Sachpekidis; Alexandros Pintzas; Vasilis Gregoriou; Antonia Dimitrakopoulou-Strauss; Aristotelis Chatziioannou
Journal:  Comput Struct Biotechnol J       Date:  2019-01-25       Impact factor: 7.271

Review 7.  Kinetic modeling and parametric imaging with dynamic PET for oncological applications: general considerations, current clinical applications, and future perspectives.

Authors:  Antonia Dimitrakopoulou-Strauss; Leyun Pan; Christos Sachpekidis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05-19       Impact factor: 9.236

8.  The Potential Benefit by Application of Kinetic Analysis of PET in the Clinical Oncology.

Authors:  Mustafa Takesh
Journal:  ISRN Oncol       Date:  2012-12-26

9.  Level of TNF-related apoptosis-inducing-ligand and CXCL8 correlated with 2-[18F]Fluoro-2-deoxy-D-glucose uptake in anti-VEGF treated colon cancers.

Authors:  Betül Celik; Arzu Didem Yalcin; Atil Bisgin; Antonia Dimitrakopoulou-Strauss; Aysegül Kargi; Ludwig G Strauss
Journal:  Med Sci Monit       Date:  2013-10-21
  9 in total

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