Literature DB >> 24578007

Correlation of Glut-1 glucose transporter expression with [(18)F]FDG uptake in non-small cell lung cancer.

K Higashi1, Y Ueda, A Sakurai, X Mingwang, L Xu, M Murakami, H Seki, M Oguchi, S Taki, Y Nambu, H Tonami, S Katsuda, I Yamamoto.   

Abstract

Positron emission tomography (PET) with [(18)F]2-fluoro-2-deoxy-D-glucose (FDG) may show negative results for bronchioloalveolar lung carcinoma. We investigated the correlation of Glut-1 glucose transporter expression with [(18)F]FDG uptake in non-small cell lung cancer. Thirty-two patients with 34 non-small cell lung cancers (7 bronchioloalveolar carcinomas, 23 non-bronchioloalveolar adenocarcinomas, 3 squamous cell carcinomas, and 1 adenosquamous cell carcinoma) were studied. Final diagnoses were established by histology (via thoracotomy) in all patients. [(18)F]FDG PET was performed 40 min after i.v. injection of 185 MBq [(18)F]FDG. For semi-quantitative analysis of [(18)F]FDG uptake, standardized uptake values (SUVs) were calculated. Glut-1 expression was studied in terms of the immunohistochemistry of paraffin sections using anti-Glut-1 antibody to determine the intensity (0-3) of Glut-1 immunoreactivity and percentage of the Glut-1-positive area. Of seven bronchioloalveolar carcinomas, six (85.7%) were negative for the expression of Glut-1, while only one (4.3%) of 23 non-bronchioloalveolar adenocarcinomas was negative (P<0.0001). The percentages of Glut-1-positive area, as well as the SUVs, were significantly lower in bronchioloalveolar carcinomas (n=7) (2.86%±7.56% and 1.25±0.75, respectively) than in non-bronchioloalveolar adenocarcinomas (n=23) (54.83%±25.64%, P<0.0001, and 3.94±1.93, P=0.001, respectively). The degree of cell differentiation correlated with the percentage of Glut-1-positive area and SUVs in adenocarcinoma of the lung. Correlations between SUVs and the intensity of Glut-1 immunoreactivity were also significant (intensities 0 and 1, n=11, SUV 1.47±0.63; intensities 2 and 3, n=23, SUV 4.78±2.13; P<0.0001). The percentage of Glut-1-positive area correlated significantly with SUVs (n=34, r=0.658, P<0.01). Overexpression of Glut-1 correlated with high [(18)F]FDG uptake. These findings suggest that Glut-1 expression is related to [(18)F]FDG uptake in non-small cell lung cancer. Glut-1 expression, as well as [(18)F]FDG uptake, correlated with the degree of cell differentiation in adenocarcinomas, and both Glut-1 expression and [(18)F]FDG uptake were significantly lower in bronchioloalveolar carcinomas than in non-bronchioloalveolar carcinomas.

Entities:  

Year:  2000        PMID: 24578007     DOI: 10.1007/s002590000367

Source DB:  PubMed          Journal:  Eur J Nucl Med        ISSN: 0340-6997


  40 in total

1.  Impact of Lymphoid Follicles and Histiocytes on the False-Positive FDG Uptake of Lymph Nodes in Non-Small Cell Lung Cancer.

Authors:  Seong Young Kwon; Jung-Joon Min; Ho-Chun Song; Chan Choi; Kook-Joo Na; Hee-Seung Bom
Journal:  Nucl Med Mol Imaging       Date:  2011-05-12

2.  Variation in (18)F-FDG PET findings in a patient with synchronous multiple thymoma.

Authors:  Chihiro Yamatani; Tomohiro Maniwa; Shoji Takahashi; Mitsuhiro Isaka; Yasuhisa Ohde; Masahiro Endo; Takashi Nakajima; Haruhiko Kondo
Journal:  Gen Thorac Cardiovasc Surg       Date:  2013-12-07

3.  Correlation between glucose transporter-1 expression and 18F-fluoro-2-deoxyglucose uptake on positron emission tomography in lung cancer.

Authors:  Katsuo Usuda; Motoyasu Sagawa; Hirokazu Aikawa; Masakatsu Ueno; Makoto Tanaka; Yuichiro Machida; Xi-Tong Zhao; Yoshimichi Ueda; Koutaro Higashi; Tsutomu Sakuma
Journal:  Gen Thorac Cardiovasc Surg       Date:  2010-08-12

Review 4.  Update information on drug metabolism systems--2009, part II: summary of information on the effects of diseases and environmental factors on human cytochrome P450 (CYP) enzymes and transporters.

Authors:  S Rendic; F P Guengerich
Journal:  Curr Drug Metab       Date:  2010-01       Impact factor: 3.731

5.  FDG PET-CT SUVmax and IASLC/ATS/ERS histologic classification: a new profile of lung adenocarcinoma with prognostic value.

Authors:  Marina Suárez-Piñera; José Belda-Sanchis; Alvaro Taus; Albert Sánchez-Font; Antoni Mestre-Fusco; Marcel Jiménez; Lara Pijuan
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-04-25

6.  Role of [¹⁸F]FDG PET in prediction of KRAS and EGFR mutation status in patients with advanced non-small-cell lung cancer.

Authors:  Carlos Caicedo; Maria Jose Garcia-Velloso; Maria Dolores Lozano; Tania Labiano; Carmen Vigil Diaz; Jose Maria Lopez-Picazo; Alfonso Gurpide; Javier J Zulueta; Javier Zulueta; Jose Angel Richter Echevarria; Jose Luis Perez Gracia
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-07-03       Impact factor: 9.236

7.  Correlation of F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value and EGFR mutations in advanced lung adenocarcinoma.

Authors:  Chun-Ta Huang; Rouh-Fang Yen; Mei-Fang Cheng; Ya-Chieh Hsu; Pin-Fei Wei; Yi-Ju Tsai; Meng-Feng Tsai; Jin-Yuan Shih; Chih-Hsin Yang; Pan-Chyr Yang
Journal:  Med Oncol       Date:  2009-01-07       Impact factor: 3.064

8.  18FDG uptake in oesophageal adenocarcinoma: linking biology and outcome.

Authors:  Marinke Westerterp; Gerrit W Sloof; Otto S Hoekstra; Fiebo J W Ten Kate; Gerrit A Meijer; Johannes B Reitsma; Ronald Boellaard; J Jan B van Lanschot; Carla F M Molthoff
Journal:  J Cancer Res Clin Oncol       Date:  2007-07-25       Impact factor: 4.553

9.  High FDG uptake predicts poorer survival in locally advanced nonsmall cell lung cancer patients undergoing curative radiotherapy, independently of tumor size.

Authors:  Sukran Ulger; Nilgun Yilmaz Demirci; Fatma Nazan Eroglu; Huriye Hulya Cengiz; Mustafa Tunc; Ebru Tatci; Ulku Yilmaz; Eren Cetin; Emine Avci; Mustafa Cengiz
Journal:  J Cancer Res Clin Oncol       Date:  2014-01-29       Impact factor: 4.553

10.  New insight on the correlation of metabolic status on 18F-FDG PET/CT with immune marker expression in patients with non-small cell lung cancer.

Authors:  Yang Wang; Ning Zhao; Zhanbo Wu; Na Pan; Xuejie Shen; Ting Liu; Feng Wei; Jian You; Wengui Xu; Xiubao Ren
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-09-09       Impact factor: 9.236

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