Literature DB >> 25608155

Metabolic phenotype of stage IV lung adenocarcinoma: relationship with epidermal growth factor receptor mutation.

Elaine Yuen Phin Lee1, Pek-Lan Khong, Victor Ho Fun Lee, Wenshu Qian, Xue Yu, Maria Pik Wong.   

Abstract

PURPOSE: Epidermal growth factor receptor (EGFR) mutation status is important in treatment stratification of stage IV lung adenocarcinoma. We evaluated the relationship between the SUV max measured on PET/CT and EGFR mutations and the value of SUV max in predicting EGFR mutations. PATIENTS AND METHODS: Seventy-one stage IV lung adenocarcinoma patients with verified EGFR mutations (48 EGFR mutant, 23 EGFR wild-type) having pretreatment PET/CT were retrospectively reviewed. SUV max values of the primary tumors (n = 71), nodal (n = 246), and distant metastases (n = 618) were compared between EGFR-mutant and EGFR wild-type adenocarcinoma by Mann-Whitney U test. The receiver operating characteristics curve and logistic regression were performed for factors, SUV max, age, sex, and smoking status. The significant predictors were assessed individually and in combination in discriminating EGFR mutation status. Statistical significance was assumed at P < 0.05
RESULTS: The metastases in EGFR-mutant adenocarcinoma had lower SUV max than EGFR wild-type adenocarcinoma (nodal SUV max 3.4 vs 5.5, distant metastasis SUV max 3.4 vs 4.7, respectively; both P < 0.001). No statistical significant difference was observed in the primary tumors SUV max between the 2 groups (SUV max 7.4 vs 8.1, P = 0.311). A receiver operating characteristics-derived SUV max less than or equal to 7.2 in metastasis could separate EGFR-mutant from EGFR wild-type adenocarcinoma (area under the curve, 0.71-0.74; P < 0.05). SUV max was a significant independent predictor, and when combined with age, sex, and smoking status, it is highly predictive of EGFR mutation status (area under the curve, 0.90).
CONCLUSIONS: Low SUV max in the metastasis favors the presence of EGFR mutations in stage IV lung adenocarcinoma, and SUV max is an independent predictor of EGFR mutations.

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Year:  2015        PMID: 25608155     DOI: 10.1097/RLU.0000000000000684

Source DB:  PubMed          Journal:  Clin Nucl Med        ISSN: 0363-9762            Impact factor:   7.794


  14 in total

1.  PET Imaging-Based Phenotyping as a Predictive Biomarker of Response to Tyrosine Kinase Inhibitor Therapy in Non-small Cell Lung Cancer: Are We There Yet?

Authors:  Victor H Gerbaudo; Chun K Kim
Journal:  Nucl Med Mol Imaging       Date:  2016-10-11

2.  The Prognostic Value of 18F-FDG PET/CT Metabolic Parameters in Predicting Treatment Response Before EGFR TKI Treatment in Patients with Advanced Lung Adenocarcinoma.

Authors:  Nurşin Agüloğlu; Murat Akyol; Halil Kömek; Nuran Katgı
Journal:  Mol Imaging Radionucl Ther       Date:  2022-06-27

3.  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

4.  (18)F-FDG PET/CT imaging in rectal cancer: relationship with the RAS mutational status.

Authors:  Pierre Lovinfosse; Benjamin Koopmansch; Frederic Lambert; Sébastien Jodogne; Gaelle Kustermans; Mathieu Hatt; Dimitris Visvikis; Laurence Seidel; Marc Polus; Adelin Albert; Philippe Delvenne; Roland Hustinx
Journal:  Br J Radiol       Date:  2016-05-05       Impact factor: 3.039

5.  Correlation between combining 18F-FDG PET/CT metabolic parameters and other clinical features and ALK or ROS1 fusion in patients with non-small-cell lung cancer.

Authors:  Maomei Ruan; Liu Liu; Lihua Wang; Bei Lei; Xiaoyan Sun; Cheng Chang; Yan Shen; Wenhui Xie
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-01-03       Impact factor: 9.236

6.  Effects of cigarette smoking on metabolic activity of lung cancer on baseline 18F-FDG PET/CT.

Authors:  Maoqing Jiang; Xiuyu Guo; Xiaohui Zhang; Qiaoling Gao; Weiqi Mei; Jingfeng Zhang; Jianjun Zheng
Journal:  PeerJ       Date:  2022-04-25       Impact factor: 3.061

Review 7.  A Review of the Correlation Between Epidermal Growth Factor Receptor Mutation Status and 18F-FDG Metabolic Activity in Non-Small Cell Lung Cancer.

Authors:  Maoqing Jiang; Xiaohui Zhang; Yan Chen; Ping Chen; Xiuyu Guo; Lijuan Ma; Qiaoling Gao; Weiqi Mei; Jingfeng Zhang; Jianjun Zheng
Journal:  Front Oncol       Date:  2022-04-20       Impact factor: 5.738

8.  The role of metabolic tumor volume (MTV) measured by [18F] FDG PET/CT in predicting EGFR gene mutation status in non-small cell lung cancer.

Authors:  Ao Liu; Anqin Han; Hui Zhu; Li Ma; Yong Huang; Minghuan Li; Feng Jin; Qiuan Yang; Jinming Yu
Journal:  Oncotarget       Date:  2017-05-16

9.  Diagnostic MicroRNA Biomarker Discovery for Non-Small-Cell Lung Cancer Adenocarcinoma by Integrative Bioinformatics Analysis.

Authors:  Yang Shao; Bin Liang; Fei Long; Shu-Juan Jiang
Journal:  Biomed Res Int       Date:  2017-06-15       Impact factor: 3.411

10.  Value of 18F-FDG PET/CT for predicting EGFR mutations and positive ALK expression in patients with non-small cell lung cancer: a retrospective analysis of 849 Chinese patients.

Authors:  Zhilei Lv; Jinshuo Fan; Juanjuan Xu; Feng Wu; Qi Huang; Mengfei Guo; Tingting Liao; Shuqing Liu; Xiaoli Lan; Shanshan Liao; Wei Geng; Yang Jin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-11-21       Impact factor: 9.236

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