Literature DB >> 25903708

Correlation between (18)F-FDG uptake on PET/CT and prognostic factors in triple-negative breast cancer.

Hye Ryoung Koo1,2, Jeong Seon Park2, Keon Wook Kang3, Wonshik Han4, In Ae Park5, Woo Kyung Moon6.   

Abstract

OBJECTIVES: The purpose of this study was to investigate whether a correlation exists between (18)F-fluorodeoxyglucose (FDG) uptake and prognostic factors in triple-negative breast cancer (TNBC).
METHODS: Between January 2009 and December 2013, 103 patients (mean age, 50.6 years) with primary TNBC (mean, 2.6 cm; range, 1.0-6.5 cm) underwent (18)F-FDG PET/CT for initial staging. Correlations between maximum standardized uptake value (SUVmax) on PET/CT and prognostic factors including tumour size, nodal status, histological grade, Ki-67 proliferation index, tumour suppressor p53, and 'basal-like' markers (epidermal growth factor receptor and CK 5/6) were assessed.
RESULTS: The mean SUVmax of the 103 tumours was 10.94 ± 5.25 (range: 2-32.8). There was a positive correlation between SUVmax and Ki-67 (Spearman's rho = 0.29, P = 0.003) and tumour size (Spearman's rho = 0.27, P = 0.006), whereas this relationship was not observed in the nodal status, histological grade, p53 status and 'basal-like' phenotypes. In a multivariate regression analysis, Ki-67 (P < 0.001) and tumour size (P = 0.009) were significantly associated with SUVmax in TNBCs.
CONCLUSIONS: Increased (18)F-FDG uptake on PET/CT was correlated with a high Ki-67 proliferation index and larger tumour size in TNBC. These results suggest a potential role of (18)F-FDG PET/CT in identifying TNBC with more aggressive behaviour. KEY POINTS: • A wide range of FDG uptake reflected heterogeneity of cancer metabolism. • FDG uptake was correlated with the Ki-67 proliferation index in TNBC. • FDG uptake was correlated with tumour size in TNBC. • FDG uptake was not correlated with 'basal-like' phenotype.

Entities:  

Keywords:  18F-FDG PET/CT; Cancer metabolism; Immunohistochemistry; Ki-67 proliferation index; Triple-negative breast cancer

Mesh:

Substances:

Year:  2015        PMID: 25903708     DOI: 10.1007/s00330-015-3734-z

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  38 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
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Review 2.  Identification and use of biomarkers in treatment strategies for triple-negative breast cancer subtypes.

Authors:  Brian D Lehmann; Jennifer A Pietenpol
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3.  Correlation of high 18F-FDG uptake to clinical, pathological and biological prognostic factors in breast cancer.

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-11-06       Impact factor: 9.236

4.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.

Authors:  Antonio C Wolff; M Elizabeth H Hammond; Jared N Schwartz; Karen L Hagerty; D Craig Allred; Richard J Cote; Mitchell Dowsett; Patrick L Fitzgibbons; Wedad M Hanna; Amy Langer; Lisa M McShane; Soonmyung Paik; Mark D Pegram; Edith A Perez; Michael F Press; Anthony Rhodes; Catharine Sturgeon; Sheila E Taube; Raymond Tubbs; Gail H Vance; Marc van de Vijver; Thomas M Wheeler; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2006-12-11       Impact factor: 44.544

5.  Comparison between 18F-FDG PET image-derived indices for early prediction of response to neoadjuvant chemotherapy in breast cancer.

Authors:  Mathieu Hatt; David Groheux; Antoine Martineau; Marc Espié; Elif Hindié; Sylvie Giacchetti; Anne de Roquancourt; Dimitris Visvikis; Catherine Cheze-Le Rest
Journal:  J Nucl Med       Date:  2013-01-17       Impact factor: 10.057

6.  18F-FDG uptake in breast cancer correlates with immunohistochemically defined subtypes.

Authors:  Hye Ryoung Koo; Jeong Seon Park; Keon Wook Kang; Nariya Cho; Jung Min Chang; Min Sun Bae; Won Hwa Kim; Su Hyun Lee; Mi Young Kim; Jin You Kim; Mirinae Seo; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2013-10-05       Impact factor: 5.315

7.  Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma.

Authors:  Torsten O Nielsen; Forrest D Hsu; Kristin Jensen; Maggie Cheang; Gamze Karaca; Zhiyuan Hu; Tina Hernandez-Boussard; Chad Livasy; Dave Cowan; Lynn Dressler; Lars A Akslen; Joseph Ragaz; Allen M Gown; C Blake Gilks; Matt van de Rijn; Charles M Perou
Journal:  Clin Cancer Res       Date:  2004-08-15       Impact factor: 12.531

Review 8.  Molecular characterization of basal-like and non-basal-like triple-negative breast cancer.

Authors:  Aleix Prat; Barbara Adamo; Maggie C U Cheang; Carey K Anders; Lisa A Carey; Charles M Perou
Journal:  Oncologist       Date:  2013-02-12

9.  Prognostic function of Ki-67 for pathological complete response rate of neoadjuvant chemotherapy in triple-negative breast cancer.

Authors:  Guojing Zhang; Wanqing Xie; Zhaozhe Liu; Chao Lin; Ying Piao; Long Xu; Fang Guo; Xiaodong Xie
Journal:  Tumori       Date:  2014 Mar-Apr

10.  Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry.

Authors:  E C Inwald; M Klinkhammer-Schalke; F Hofstädter; F Zeman; M Koller; M Gerstenhauer; O Ortmann
Journal:  Breast Cancer Res Treat       Date:  2013-05-16       Impact factor: 4.872

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  15 in total

1.  [18F]FDG PET/CT features for the molecular characterization of primary breast tumors.

Authors:  Lidija Antunovic; Francesca Gallivanone; Martina Sollini; Andrea Sagona; Alessandra Invento; Giulia Manfrinato; Margarita Kirienko; Corrado Tinterri; Arturo Chiti; Isabella Castiglioni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-15       Impact factor: 9.236

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

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-14       Impact factor: 9.236

3.  A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy.

Authors:  Kristen A Wangerin; Mark Muzi; Lanell M Peterson; Hannah M Linden; Alena Novakova; David A Mankoff; Paul E Kinahan
Journal:  Phys Med Biol       Date:  2017-02-13       Impact factor: 3.609

Review 4.  Radiomics in Oncological PET/CT: Clinical Applications.

Authors:  Jeong Won Lee; Sang Mi Lee
Journal:  Nucl Med Mol Imaging       Date:  2017-10-20

5.  18F-FDG PET/CT in gastric MALT lymphoma: a bicentric experience.

Authors:  Domenico Albano; Mattia Bertoli; Paola Ferro; Federico Fallanca; Luigi Gianolli; Maria Picchio; Raffaele Giubbini; Francesco Bertagna
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-09-12       Impact factor: 9.236

6.  Strong association of epidermal growth factor receptor status with breast cancer FDG uptake.

Authors:  Joohee Lee; Eun Jeong Lee; Seung Hwan Moon; Seokhwi Kim; Seung Hyup Hyun; Young Seok Cho; Joon Young Choi; Byung-Tae Kim; Kyung-Han Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-05-09       Impact factor: 9.236

7.  Association between partial-volume corrected SUVmax and Oncotype DX recurrence score in early-stage, ER-positive/HER2-negative invasive breast cancer.

Authors:  Su Hyun Lee; Seunggyun Ha; Hyun Joon An; Jae Sung Lee; Wonshik Han; Seock-Ah Im; Han Suk Ryu; Won Hwa Kim; Jung Min Chang; Nariya Cho; Woo Kyung Moon; Gi Jeong Cheon
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-05-21       Impact factor: 9.236

8.  Relationship between 18-FDG-PET/CT and Clinicopathological Features and Pathological Responses in Patients with Locally Advanced Breast Cancers.

Authors:  Nilgun Yildirim; Melih Simsek; Mehmet Naci Aldemir; Mehmet Bilici; Salim Basol Tekin
Journal:  Eurasian J Med       Date:  2019-06

9.  Biomarkers from in vivo molecular imaging of breast cancer: pretreatment 18F-FDG PET predicts patient prognosis, and pretreatment DWI-MR predicts response to neoadjuvant chemotherapy.

Authors:  Francesca Gallivanone; Marta Maria Panzeri; Carla Canevari; Claudio Losio; Luigi Gianolli; Francesco De Cobelli; Isabella Castiglioni
Journal:  MAGMA       Date:  2017-02-28       Impact factor: 2.310

10.  Tumor size and proliferative marker geminin rather than Ki67 expression levels significantly associated with maximum uptake of 18F-deoxyglucose levels on positron emission tomography for breast cancers.

Authors:  Arisa Nishimukai; Natsuko Inoue; Ayako Kira; Masashi Takeda; Koji Morimoto; Kazuhiro Araki; Kazuhiro Kitajima; Takahiro Watanabe; Seiichi Hirota; Toyomasa Katagiri; Shoji Nakamori; Kouhei Akazawa; Yasuo Miyoshi
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

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