Literature DB >> 26973211

Metabolic tumor burden as marker of outcome in advanced EGFR wild-type NSCLC patients treated with erlotinib.

Anne Winther-Larsen1, Joan Fledelius2, Boe Sandahl Sorensen3, Peter Meldgaard4.   

Abstract

OBJECTIVES: Accurate estimation of the prognosis of advanced non-small cell lung cancer (NSCLC) patients is essential before initiation of palliative treatment; especially in the second and third-line setting. This study was conducted in order to evaluate tumor burden measured on an 2'-deoxy-2'-[18F] fluoro-D-glucose (F-18-FDG) positron emission tomography/computed tomography (PET/CT) scan as a marker of outcome in advanced epidermal growth factor receptor (EGFR) wild-type patients treated with second or third-line erlotinib.
MATERIAL AND METHODS: Fifty-one patients were included from a prospectively collected cohort. An F-18-FDG-PET/CT scan was conducted prior to erlotinib treatment and tumor burden was measured in terms of metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Median values of MTV and TLG were used for dichotomization of patients. Survival outcome was compared between groups.
RESULTS: MTV and TLG could be measured in 49 patients. High values of MTV and TLG were significantly correlated with shorter PFS (p<0.001 and p=0.027, respectively) and OS (p<0.001 and p=0.002, respectively). In multivariate analyses, including both clinical and imaging data, high MTV and TLG remained strong independent markers of both shorter PFS (MTV, hazard ratio (HR)=5.44 (95% confidence interval (CI) 2.46-12.02); TLG, HR=2.17 (95% CI 1.11-4.26)) and OS (MTV, HR=4.80 (95% CI 2.08-11.06); TLG, HR=2.76 (95% CI 1.33-5.71)).
CONCLUSION: High MTV and TLG are independently correlated with shorter PFS and OS in advanced EGFR wild-type NSCLC patients treated with second or third-line erlotinib. Metabolic tumor burden is a highly promising clinical tool that may allow better patient selection for palliative treatment in the future.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  EGFR wild-type; Lung cancer; Metabolic tumor volume; Positron emission tomography; Tyrosine kinase inhibitor

Mesh:

Substances:

Year:  2016        PMID: 26973211     DOI: 10.1016/j.lungcan.2016.01.024

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  15 in total

1.  Risk-stratifying capacity of PET/CT metabolic tumor volume in stage IIIA non-small cell lung cancer.

Authors:  Joshua H Finkle; Stephanie Y Jo; Mark K Ferguson; Hai-Yan Liu; Chenpeng Zhang; Xuee Zhu; Cindy Yuan; Yonglin Pu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-03-07       Impact factor: 9.236

2.  Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging.

Authors:  Yonglin Pu; James X Zhang; Haiyan Liu; Daniel Appelbaum; Jianfeng Meng; Bill C Penney
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-06-07       Impact factor: 9.236

3.  Metabolic tumor burden quantified on [18F]FDG PET/CT improves TNM staging of lung cancer patients.

Authors:  Paula Lapa; Bárbara Oliveiros; Margarida Marques; Jorge Isidoro; Filipe Caseiro Alves; J M Nascimento Costa; Gracinda Costa; João Pedroso de Lima
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-08-07       Impact factor: 9.236

4.  Assessment of very early response evaluation with 18F-FDG-PET/CT predicts survival in erlotinib treated NSCLC patients-A comparison of methods.

Authors:  Joan Fledelius; Anne Winther-Larsen; Azza A Khalil; Karin Hjorthaug; Jørgen Frøkiær; Peter Meldgaard
Journal:  Am J Nucl Med Mol Imaging       Date:  2018-02-05

5.  Continuous Vaginal Bleeding Induced By EGFR-TKI in Premenopausal Female Patients With EGFR Mutant NSCLC.

Authors:  Min Yu; Xiaoyu Li; Xueqian Wu; Weiya Wang; Yanying Li; Yan Zhang; Shuang Zhang; Yongsheng Wang
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

6.  Prognostic value of baseline metabolic tumor volume measured on 18F-fluorodeoxyglucose positron emission tomography/computed tomography in melanoma patients treated with ipilimumab therapy.

Authors:  Kimiteru Ito; Heiko Schöder; Rebecca Teng; John L Humm; Ai Ni; Jedd D Wolchok; Wolfgang A Weber
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-11-28       Impact factor: 9.236

7.  TLG-S criteria are superior to both EORTC and PERCIST for predicting outcomes in patients with metastatic lung adenocarcinoma treated with erlotinib.

Authors:  Kung-Chu Ho; Yu-Hua Dean Fang; Hsiao-Wen Chung; Yuan-Chang Liu; John Wen-Cheng Chang; Ming-Mo Hou; Cheng-Ta Yang; Nai-Ming Cheng; Tzu-Pei Su; Tzu-Chen Yen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-03       Impact factor: 9.236

8.  Baseline metabolic tumor burden on FDG PET/CT scans predicts outcome in advanced NSCLC patients treated with immune checkpoint inhibitors.

Authors:  Romain-David Seban; Laura Mezquita; Arnaud Berenbaum; Laurent Dercle; Angela Botticella; Cécile Le Pechoux; Caroline Caramella; Eric Deutsch; Serena Grimaldi; Julien Adam; Samy Ammari; David Planchard; Sophie Leboulleux; Benjamin Besse
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-11-21       Impact factor: 9.236

9.  Early Change in FDG-PET Signal and Plasma Cell-Free DNA Level Predicts Erlotinib Response in EGFR Wild-Type NSCLC Patients.

Authors:  Anne Winther-Larsen; Joan Fledelius; Christina Demuth; Catharina M Bylov; Peter Meldgaard; Boe S Sorensen
Journal:  Transl Oncol       Date:  2016-10-29       Impact factor: 4.243

10.  Correlation between circulating mutant DNA and metabolic tumour burden in advanced non-small cell lung cancer patients.

Authors:  Anne Winther-Larsen; Christina Demuth; Joan Fledelius; Anne Tranberg Madsen; Karin Hjorthaug; Peter Meldgaard; Boe Sandahl Sorensen
Journal:  Br J Cancer       Date:  2017-07-06       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.