Metabolic tumor burden predicts for disease progression and death in lung cancer

被引:174
|
作者
Lee, Percy
Weerasuriya, Dilam K.
Lavori, Philip W.
Quon, Andrew
Hara, Wendy
Maxim, Peter G.
Le, Quynh-Thu
Wakelee, Heather A.
Donington, Jessica S.
Graves, Edward E.
Loo, Billy W.
机构
[1] Stanford Univ, Stanford Canc Ctr, Dept Radiat Oncol, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
[3] Stanford Univ, Div Nucl Med, Dept Radiol, Stanford, CA 94305 USA
[4] Stanford Univ, Div Oncol, Dept Med, Stanford, CA 94305 USA
[5] Stanford Univ, Dept Cardiothorac Surg, Stanford, CA 94305 USA
来源
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS | 2007年 / 69卷 / 02期
关键词
lung cancer; positron emission tomography (PET); metabolic tumor volume (MTV); prognostic factors; automatic; image analysis;
D O I
10.1016/j.ijrobp.2007.04.036
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: In lung cancer, stage is an important prognostic factor for disease progression and survival. However, stage may be simply a surrogate for underlying tumor burden. Our purpose was to assess the prognostic value of tumor burden measured by F-18-fluorodeoxyglucose-positron emission tomography (FDG-PET) imaging. Patients and Methods: We identified 19 patients with lung cancer who had staging PET-CT scans before any therapy, and adequate follow-up (complete to time of progression for 18, and death for 15 of 19). Metabolically active tumor regions were segmented on pretreatment PET scans semi-automatically using custom software. We determined the relationship between times to progression (TTP) and death (OS) and two PET parameters: total metabolic tumor volume (MTV), and standardized uptake value (SUV). Results: The estimated median TTP and OS for the cohort were 9.3 months and 14.8 months. On multivariate Cox proportional hazards regression analysis, an increase in MTV of 25 ml (difference between the 75th and 25th percentiles) was associated with increased hazard of progression and of death (5.4-fold and 7.6-fold), statistically significant (p = 0.0014 and p = 0.001) after controlling for stage, treatment intent (definitive or palliative), age, Karnofsky performance status, and weight loss. We did not find a significant relationship between SUV and TTP or OS. Conclusions: In this study, high tumor burden assessed by PET MTV is an independent poor prognostic feature in lung cancer, promising for stratifying patients in randomized trials and ultimately for selecting risk-adapted therapies. These results will need to be validated in larger cohorts with longer follow-up, and evaluated prospectively. (c) 2007 Elsevier Inc.
引用
收藏
页码:328 / 333
页数:6
相关论文
共 50 条
  • [1] Prognostic value of metabolic tumor burden in lung cancer
    Obara, Piotr
    Pu, Yonglin
    CHINESE JOURNAL OF CANCER RESEARCH, 2013, 25 (06) : 615 - 622
  • [2] Prognostic value of metabolic tumor burden in lung cancer
    Piotr Obara
    Yonglin Pu
    Chinese Journal of Cancer Research, 2013, 25 (06) : 615 - 622
  • [3] Tumor metabolic reprogramming in lung cancer progression
    Li, Xin
    Liu, Minghui
    Liu, Hongyu
    Chen, Jun
    ONCOLOGY LETTERS, 2022, 24 (02)
  • [4] METABOLIC TUMOR VOLUME PREDICTS FOR RECURRENCE AND DEATH IN HEAD-AND-NECK CANCER
    La, Trang H.
    Filion, Edith J.
    Turnbull, Brit B.
    Chu, Jackie N.
    Lee, Percy
    Nguyen, Khoa
    Maxim, Peter
    Quon, Andy
    Graves, Edward E.
    Loo, Billy W., Jr.
    Le, Quynh-Thu
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2009, 74 (05): : 1335 - 1341
  • [5] Progression of asbestosis predicts lung cancer
    Oksa, P
    Klockars, M
    Karjalainen, A
    Huuskonen, MS
    Vattulainen, K
    Pukkala, E
    Nordman, H
    CHEST, 1998, 113 (06) : 1517 - 1521
  • [6] Metabolic Tumor Volume Predicts Disease Progression and Survival in Patients with Squamous Cell Carcinoma of the Anal Canal
    Bazan, Jose G.
    Koong, Albert C.
    Kapp, Daniel S.
    Quon, Andrew
    Graves, Edward E.
    Loo, Billy W., Jr.
    Chang, Daniel T.
    JOURNAL OF NUCLEAR MEDICINE, 2013, 54 (01) : 27 - 32
  • [7] Tumor mutational burden and efficacy of chemotherapy in lung cancer
    Juan Song
    Yu Yan
    Cuicui Chen
    Jiamin Li
    Ning Ding
    Nuo Xu
    Hairong Bao
    Xin Zhang
    Qunying Hong
    Jian Zhou
    Yang W. Shao
    Yuanlin Song
    Lin Tong
    Jie Hu
    Clinical and Translational Oncology, 2023, 25 : 173 - 184
  • [8] Tumor mutational burden and efficacy of chemotherapy in lung cancer
    Song, Juan
    Yan, Yu
    Chen, Cuicui
    Li, Jiamin
    Ding, Ning
    Xu, Nuo
    Bao, Hairong
    Zhang, Xin
    Hong, Qunying
    Zhou, Jian
    Shao, Yang W.
    Song, Yuanlin
    Tong, Lin
    Hu, Jie
    CLINICAL & TRANSLATIONAL ONCOLOGY, 2023, 25 (01) : 173 - 184
  • [9] Disease burden of lung cancer attributable to metabolic and behavioral risks in China and globally from 1990 to 2021
    Li, Lijun
    Zhang, Xiaoxin
    Jiang, Anqi
    Guo, Xiaotian
    Li, Guangrui
    Zhang, Minghui
    Pu, Haihong
    BMC PUBLIC HEALTH, 2025, 25 (01)
  • [10] MEOX1 Promotes Tumor Progression and Predicts Poor Prognosis in Human Non-Small-Cell Lung Cancer
    Sun, Lichao
    Yuan, Hebao
    Burnett, Joseph
    Gasparyan, Mari
    Zhang, Yuan
    Zhang, Feng
    Yang, Zhihua
    Ran, Yuliang
    Sun, Duxin
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2019, 16 (01): : 68 - 74