Literature DB >> 27186439

Prognostic value of FDG PET/CT-based metabolic tumor volumes in metastatic triple negative breast cancer patients.

Brett Marinelli1, Carina Espinet-Col2, Gary A Ulaner3, Heather L McArthur4, Mithat Gonen5, Maxine Jochelson6, Wolfgang A Weber2.   

Abstract

FDG PET/CT-based measures of tumor burden show promise to predict survival in patients with metastatic breast cancer, but the patient populations studied so far are heterogeneous. The reports may have been confounded by the markedly different prognosis of the various subtypes of breast cancer. The purpose of this study is to evaluate the correlation between tumor burden on FDG PET/CT and overall survival (OS) in patients within a defined population: metastatic triple negative breast cancer (MTNBC). FDG PET/CT scans of 47 consecutive MTNBC patients (54±12 years-old) with no other known malignancies were analyzed. A total 393 lesions were identified, and maximum standardized uptake value (SUVmax), mean SUV, metabolic tumor volume (MTV), total lesion number (TLN) and total lesion glycolysis (TLG), were measured and correlated with patient survival by Mantel-Cox tests and Cox regression analysis. At a median follow-up time of 12.4 months, 41 patients died with a median OS of 12.1 months. Patients with MTV less than 51.5 ml lived nearly three times longer (22 vs 7.1 months) than those with a higher MTV (χ(2)=21.3, P<0.0001). In a multivariate Cox regression analysis only TLN and MTV were significantly correlated with survival. Those with an MTV burden in the 75(th) percentile versus the 25(th) percentile had a hazard ratio of 6.94 (p=0.001). In patients with MTNBC, MTV appears to be a strong prognostic factor. If validated in prospective studies, MTV may be a valuable tool for risk stratification of MTNBC patients in clinical trials and to guide patient management.

Entities:  

Keywords:  FDG PET/CT; Triple-negative metastatic breast cancer; breast cancer prognosis; metabolic tumor volume

Year:  2016        PMID: 27186439      PMCID: PMC4858608     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  31 in total

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Journal:  Nucl Med Mol Imaging       Date:  2012-08-25

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Journal:  J Nucl Med       Date:  2010-03-17       Impact factor: 10.057

4.  Neoadjuvant carboplatin in patients with triple-negative and HER2-positive early breast cancer (GeparSixto; GBG 66): a randomised phase 2 trial.

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Journal:  Lancet Oncol       Date:  2014-04-30       Impact factor: 41.316

5.  Metabolic tumor volume of [18F]-fluorodeoxyglucose positron emission tomography/computed tomography predicts short-term outcome to radiotherapy with or without chemotherapy in pharyngeal cancer.

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Journal:  Clin Cancer Res       Date:  2009-09-08       Impact factor: 12.531

6.  Clinicopathologic features, patterns of recurrence, and survival among women with triple-negative breast cancer in the National Comprehensive Cancer Network.

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Journal:  Cancer       Date:  2012-04-27       Impact factor: 6.860

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Journal:  Clin Positron Imaging       Date:  1999-05

8.  Metabolic tumor volume assessed by 18F-FDG PET/CT for the prediction of outcome in patients with multiple myeloma.

Authors:  Rosa Fonti; Michele Larobina; Silvana Del Vecchio; Serena De Luca; Rossella Fabbricini; Lucio Catalano; Fabrizio Pane; Marco Salvatore; Leonardo Pace
Journal:  J Nucl Med       Date:  2012-10-15       Impact factor: 10.057

9.  FDG positron emission tomography/computed tomography for the detection of extrahepatic metastases from hepatocellular carcinoma.

Authors:  Tomokazu Kawaoka; Hiroshi Aikata; Shintaro Takaki; Kiminori Uka; Takahiro Azakami; Hiromi Saneto; Soo Cheol Jeong; Yoshiiku Kawakami; Shoichi Takahashi; Naoyuki Toyota; Katsuhide Ito; Yutaka Hirokawa; Kazuaki Chayama
Journal:  Hepatol Res       Date:  2009-02       Impact factor: 4.288

10.  Molecular subtypes of breast cancer in relation to paclitaxel response and outcomes in women with metastatic disease: results from CALGB 9342.

Authors:  Lyndsay N Harris; Gloria Broadwater; Nancy U Lin; Alexander Miron; Stuart J Schnitt; David Cowan; Jonathan Lara; Ira Bleiweiss; Donald Berry; Matthew Ellis; Daniel F Hayes; Eric P Winer; Lynn Dressler
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

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  18 in total

1.  Prediction of breast cancer recurrence using lymph node metabolic and volumetric parameters from 18F-FDG PET/CT in operable triple-negative breast cancer.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-14       Impact factor: 9.236

2.  Individualized risk assessment in neuroblastoma: does the tumoral metabolic activity on 123I-MIBG SPECT predict the outcome?

Authors:  Julian M M Rogasch; Patrick Hundsdoerfer; Christian Furth; Florian Wedel; Frank Hofheinz; Paul-Christian Krüger; Holger Lode; Winfried Brenner; Angelika Eggert; Holger Amthauer; Imke Schatka
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Authors:  Paola Caroli; Ugo De Giorgi; Emanuela Scarpi; Lorenzo Fantini; Andrea Moretti; Riccardo Galassi; Monica Celli; Vincenza Conteduca; Lorena Rossi; Emanuela Bianchi; Giovanni Paganelli; Federica Matteucci
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4.  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

5.  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

6.  Pretreatment 18F-FDG Uptake Heterogeneity Predicts Treatment Outcome of First-Line Chemotherapy in Patients with Metastatic Triple-Negative Breast Cancer.

Authors:  Chengcheng Gong; Guang Ma; Xichun Hu; Yingjian Zhang; Zhonghua Wang; Jian Zhang; Yannan Zhao; Yi Li; Yizhao Xie; Zhongyi Yang; Biyun Wang
Journal:  Oncologist       Date:  2018-08-06

7.  Prediction of Pretreatment 18F-FDG-PET/CT Parameters on the Outcome of First-Line Therapy in Patients with Metastatic Breast Cancer.

Authors:  Yi Li; Cheng Liu; Bibo Wang; Xichun Hu; Chengcheng Gong; Yannan Zhao; Yizhao Xie; Yingjian Zhang; Shaoli Song; Zhongyi Yang; Biyun Wang
Journal:  Int J Gen Med       Date:  2021-05-11

8.  Rate of entropy model for irreversible processes in living systems.

Authors:  R Zivieri; N Pacini; G Finocchio; M Carpentieri
Journal:  Sci Rep       Date:  2017-08-22       Impact factor: 4.379

9.  Comparison of patterns and prognosis among distant metastatic breast cancer patients by age groups: a SEER population-based analysis.

Authors:  Meng-Ting Chen; He-Fen Sun; Yang Zhao; Wen-Yan Fu; Li-Peng Yang; Shui-Ping Gao; Liang-Dong Li; Hong-Lin Jiang; Wei Jin
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

10.  18F-Fluoride PET/CT tumor burden quantification predicts survival in breast cancer.

Authors:  Ana E Brito; Allan Santos; André Deeke Sasse; Cesar Cabello; Paulo Oliveira; Camila Mosci; Tiago Souza; Barbara Amorim; Mariana Lima; Celso D Ramos; Elba Etchebehere
Journal:  Oncotarget       Date:  2017-05-30
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