Literature DB >> 26249241

Risk stratification in patients with advanced-stage breast cancer by pretreatment [(18) F]FDG PET/CT.

Suyun Chen1,2, Nuhad K Ibrahim3, Yuanqing Yan4, Stephen T Wong5, Hui Wang1, Franklin C Wong2.   

Abstract

BACKGROUND: The objective of the current study was to investigate the prognostic value of pretreatment [(18) F] fluorodeoxyglucose position emission tomography/computed tomography ([(18) F]FDG PET/CT) in patients with advanced-stage breast cancer.
METHODS: Pretreatment PET/CT scans from 240 consecutive patients with American Joint Committee on Cancer stage III or stage IV BC were analyzed retrospectively. Clinicopathological factors and metabolic parameters of the primary tumor including maximum standardized uptake value (SUVmax ), metabolic tumor volume, and total lesion glycolysis (TLG) with a range of thresholds were compared to predict progression-free survival (PFS) and overall survival (OS) using a time-dependent receiver operating characteristic curve and Cox proportional hazards regression analyses.
RESULTS: SUVmax with a cutoff value of 6.0, TLG30% with a cutoff value of 158 g, and phenotype associated with PFS and OS were analyzed using multivariate analysis. The mean TLG30% of primary tumors for patients with stage III and stage IV disease was 405 g and 750 g (P = .010), respectively. Patients with triple-negative breast cancer or a TLG30% >158 g or with both were categorized as being at high risk, and those with non-triple-negative breast cancer and a primary tumor with a TLG30% ≤158 g were defined as low risk. The 5-year PFS rates for stage III disease among patients with low-risk versus high-risk BC were 85% and 67.5%, respectively. For patients with stage IV disease, the 5-year PFS rates were 45% and 9%, respectively, for patients with low-risk versus high-risk disease. Patients with stage III and high-risk BC had OS rates that were similar to those for patients with stage IV and low-risk BC (P = .552).
CONCLUSIONS: The TLG30% from pretreatment PET/CT was found to independently correlate with survival outcomes and appears to be able to effectively stratify both patients with stage III and those with stage IV BC.
© 2015 American Cancer Society.

Entities:  

Keywords:  [18F] fluorodeoxyglucose position emission tomography/computed tomography ([18F]FDG PET/CT); breast cancer; maximum standardized uptake value; metabolic tumor volume; overall survival; progression-free survival; total lesion glycolysis

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Year:  2015        PMID: 26249241     DOI: 10.1002/cncr.29565

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  5 in total

Review 1.  The Evolving Role of FDG-PET/CT in the Diagnosis, Staging, and Treatment of Breast Cancer.

Authors:  Koosha Paydary; Siavash Mehdizadeh Seraj; Mahdi Zirakchian Zadeh; Sahra Emamzadehfard; Sara Pourhassan Shamchi; Saeid Gholami; Thomas J Werner; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

2.  Volume-based metabolic parameter of breast cancer on preoperative 18F-FDG PET/CT could predict axillary lymph node metastasis.

Authors:  Young-Sil An; Doo Kyoung Kang; Yongsik Jung; Tae Hee Kim
Journal:  Medicine (Baltimore)       Date:  2017-11       Impact factor: 1.817

Review 3.  FDG-PET/CT Versus Contrast-Enhanced CT for Response Evaluation in Metastatic Breast Cancer: A Systematic Review.

Authors:  Fredrik Helland; Martine Hallin Henriksen; Oke Gerke; Marianne Vogsen; Poul Flemming Høilund-Carlsen; Malene Grubbe Hildebrandt
Journal:  Diagnostics (Basel)       Date:  2019-08-27

4.  Overexpression of HDAC9 is associated with poor prognosis and tumor progression of breast cancer in Chinese females.

Authors:  Yixiang Huang; Wei Jian; Junyong Zhao; Gang Wang
Journal:  Onco Targets Ther       Date:  2018-04-17       Impact factor: 4.147

5.  Prognostic value of maximum standard uptake value, metabolic tumor volume, and total lesion glycolysis of positron emission tomography/computed tomography in patients with breast cancer: A systematic review and meta-analysis.

Authors:  Weibo Wen; Dongchun Xuan; Yulai Hu; Xiangdan Li; Lan Liu; Dongyuan Xu
Journal:  PLoS One       Date:  2019-12-11       Impact factor: 3.240

  5 in total

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