Literature DB >> 25783515

Total lesion glycolysis determined per RECIST 1.1 criteria predicts survival in EGFR mutation-negative patients with advanced lung adenocarcinoma.

Tsung-Ying Ho1, Pai-Chien Chou, Cheng-Ta Yang, Ngan-Ming Tsang, Tzu-Chen Yen.   

Abstract

OBJECTIVE: The aim of this retrospective study was to investigate the clinical impact of F-FDG PET in patients with advanced lung adenocarcinoma stratified according to the epidermal growth factor receptor (EGFR) mutation status. PATIENTS AND METHODS: A total of 56 patients with advanced lung adenocarcinoma were included in the study. Thirty-one patients (55%) were EGFR mutation-positive, whereas the remaining 25 (45%) participants tested negative for EGFR mutations. All of the patients underwent F-FDG PET/CT for pretreatment planning. The main outcome measure was overall survival (OS) at 24 months. The following F-FDG PET/CT-derived variables were tested for their associations with OS: main tumor SUVmax, main tumor total lesion glycolysis, and target lesions TLG determined per RECIST (Response Evaluation Criteria In Solid Tumors) 1.1 criteria (TLGRECIST). We also investigated the clinical characteristics in relation to OS and EGFR mutation status.
RESULTS: In EGFR mutation-positive patients, neither the clinical characteristics nor F-FDG PET/CT-derived parameters were significantly associated with OS. In contrast, univariate analysis identified male sex, a positive history of smoking, and TLGRECIST greater than or equal to 412 g as adverse prognostic factors for OS in EGFR mutation-negative patients. After adjustment for potential confounders in multivariate analysis, TLGRECIST was the sole independent predictor of OS in this subgroup.
CONCLUSIONS: TLG determined per RECIST 1.1 criteria is an independent predictor of OS in EGFR mutation-negative patients with advanced lung adenocarcinoma. Further studies are needed to investigate whether this parameter may be a promising tool for stratifying such patients for risk-adapted therapies.

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Year:  2015        PMID: 25783515     DOI: 10.1097/RLU.0000000000000774

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


  4 in total

1.  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

2.  SUVmax and metabolic tumor volume: surrogate image biomarkers of KRAS mutation status in colorectal cancer.

Authors:  Ying Lv; Xin Wang; Lerong Liang; Lei Wang; Jie Lu
Journal:  Onco Targets Ther       Date:  2019-03-21       Impact factor: 4.147

3.  Predictive Power of a Radiomic Signature Based on 18F-FDG PET/CT Images for EGFR Mutational Status in NSCLC.

Authors:  Xiaofeng Li; Guotao Yin; Yufan Zhang; Dong Dai; Jianjing Liu; Peihe Chen; Lei Zhu; Wenjuan Ma; Wengui Xu
Journal:  Front Oncol       Date:  2019-10-15       Impact factor: 6.244

4.  Prognostic Value of Baseline 18F-FDG PET/CT Functional Parameters in Patients with Advanced Lung Adenocarcinoma Stratified by EGFR Mutation Status.

Authors:  Dalong Wang; Minghui Zhang; Xuan Gao; Lijuan Yu
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

  4 in total

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