Literature DB >> 25170642

Glucose metabolism in NSCLC is histology-specific and diverges the prognostic potential of 18FDG-PET for adenocarcinoma and squamous cell carcinoma.

Olga C J Schuurbiers1, Tineke W H Meijer, Johannes H A M Kaanders, Monika G Looijen-Salamon, Lioe-Fee de Geus-Oei, Miep A van der Drift, Erik H F M van der Heijden, Wim J Oyen, Eric P Visser, Paul N Span, Johan Bussink.   

Abstract

INTRODUCTION: Biological features of non-small-cell lung carcinomas (NSCLCs) are important determinants for prognosis. In this study, differences in glucose metabolism between adeno- and squamous cell NSCLCs were quantified using the hypoxia and glycolysis-related markers glucose transporter 1 (GLUT1), carbonic anhydrase IX (CAIX), monocarboxylate transporter 1 (MCT1) and 4 (MCT4) vasculature, and 18-fluoro-2-deoxyglucose (FDG)-uptake. Relevance of these markers for disease-free survival (DFS) was analyzed.
METHODS: Patients with curatively resected stage I to II and resectable stage IIIA, cN0-1 adeno- or squamous cell NSCLC, of whom fresh-frozen lung resection biopsies and pretreatment FDG-positron emission tomography (PET) scans were available, were included in this study (n = 108). FDG-uptake was quantified by calculating total lesion glycolysis (TLG). Metabolic marker expression was measured by immunofluorescent staining (protein) and quantitative polymerase chain reaction (messenger ribonucleic acid [mRNA]). Patients were retrospectively evaluated for DFS.
RESULTS: mRNA and protein expression of metabolic markers, with the exception of MCT4, and TLG were higher in squamous cell carcinomas than in adenocarcinomas, whereas adenocarcinomas were better vascularized. Adenocarcinomas had a worse DFS compared with squamous cell carcinomas (p = 0.016) based on the potential to metastasize. High TLG was associated with a worse DFS only in adenocarcinomas.
CONCLUSION: Our findings suggest that the adenocarcinomas exhibit glycolysis under normoxic conditions, whereas squamous cell carcinomas are exposed to diffusion-limited hypoxia resulting in a very high anaerobic glycolytic rate. Although squamous cell carcinomas have a higher FDG-uptake, in general regarded as a poor prognostic factor, adenocarcinomas have a higher metastatic potential and a worse DFS. These findings show that FDG-PET should be interpreted in relation to histology. This may improve the prognostic potential of FDG-PET and may aid in exploiting FDG-PET in treatment strategies allied to histology.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25170642     DOI: 10.1097/JTO.0000000000000286

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  45 in total

1.  Impact of different image reconstructions on PET quantification in non-small cell lung cancer: a comparison of adenocarcinoma and squamous cell carcinoma.

Authors:  Michael Messerli; Fotis Kotasidis; Irene A Burger; Daniela A Ferraro; Urs J Muehlematter; Corina Weyermann; David Kenkel; Gustav K von Schulthess; Philipp A Kaufmann; Martin W Huellner
Journal:  Br J Radiol       Date:  2019-02-26       Impact factor: 3.039

2.  The asphericity of the metabolic tumour volume in NSCLC: correlation with histopathology and molecular markers.

Authors:  Ivayla Apostolova; Kilian Ego; Ingo G Steffen; Ralph Buchert; Heinz Wertzel; H Jost Achenbach; Sandra Riedel; Jens Schreiber; Meinald Schultz; Christian Furth; Thorsten Derlin; Holger Amthauer; Frank Hofheinz; Thomas Kalinski
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-28       Impact factor: 9.236

3.  A Histologic Basis for the Efficacy of SBRT to the lung.

Authors:  Neil M Woody; Kevin L Stephans; Martin Andrews; Tingliang Zhuang; Priyanka Gopal; Ping Xia; Carol F Farver; Daniel P Raymond; Craig D Peacock; Joseph Cicenia; Chandana A Reddy; Gregory M M Videtic; Mohamed E Abazeed
Journal:  J Thorac Oncol       Date:  2016-12-22       Impact factor: 15.609

Review 4.  Metabolic advantages and vulnerabilities in brain metastases.

Authors:  Alexandra K Ciminera; Rahul Jandial; John Termini
Journal:  Clin Exp Metastasis       Date:  2017-10-23       Impact factor: 5.150

5.  GFPT2-Expressing Cancer-Associated Fibroblasts Mediate Metabolic Reprogramming in Human Lung Adenocarcinoma.

Authors:  Weiruo Zhang; Gina Bouchard; Alice Yu; Majid Shafiq; Mehran Jamali; Joseph B Shrager; Kelsey Ayers; Shaimaa Bakr; Andrew J Gentles; Maximilian Diehn; Andrew Quon; Robert B West; Viswam Nair; Matt van de Rijn; Sandy Napel; Sylvia K Plevritis
Journal:  Cancer Res       Date:  2018-05-14       Impact factor: 12.701

6.  Early-Stage Non-Small Cell Lung Cancer: Quantitative Imaging Characteristics of (18)F Fluorodeoxyglucose PET/CT Allow Prediction of Distant Metastasis.

Authors:  Jia Wu; Todd Aguilera; David Shultz; Madhu Gudur; Daniel L Rubin; Billy W Loo; Maximilian Diehn; Ruijiang Li
Journal:  Radiology       Date:  2016-04-05       Impact factor: 11.105

7.  Predictive Value of Preoperative Volume-Based 18F-2-Fluoro-2-Deoxy-d-Glucose Positron Emission Tomography/Computed Tomography Parameters in Patients with Resectable Lung Adenocarcinoma.

Authors:  Sunju Choi; Hye Ryeong Kwon; Hee Young Cho; Kisoo Pahk; Sung-Ho Lee; Jae-Ho Chung; Hyun Woo Kwon; Sungeun Kim
Journal:  Nucl Med Mol Imaging       Date:  2018-11-07

Review 8.  Shining a light on metabolic vulnerabilities in non-small cell lung cancer.

Authors:  Catríona M Dowling; Hua Zhang; Tríona Ní Chonghaile; Kwok-Kin Wong
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2020-10-29       Impact factor: 10.680

9.  Radiomics-Based Features for Prediction of Histological Subtypes in Central Lung Cancer.

Authors:  Huanhuan Li; Long Gao; He Ma; Dooman Arefan; Jiachuan He; Jiaqi Wang; Hu Liu
Journal:  Front Oncol       Date:  2021-04-29       Impact factor: 6.244

Review 10.  FDG-PET/CT imaging findings of hepatic tumors and tumor-like lesions based on molecular background.

Authors:  Kumi Ozaki; Kenichi Harada; Noboru Terayama; Nobuyuki Kosaka; Hirohiko Kimura; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2020-04-03       Impact factor: 2.374

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.