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The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer
BACKGROUND: Whether PET scan maximum standard uptake value (SUVmax) could differentiate luminal A from luminal B and help predict the survival of metastatic breast cancer (MBC) patients with luminal subtype is still unknown and need to be investigated. METHODS: 305 MBC patients with luminal subtypes...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3583732/ https://www.ncbi.nlm.nih.gov/pubmed/23368410 http://dx.doi.org/10.1186/1471-2407-13-42 |
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author | Zhang, Jian Jia, Zhen Ragaz, Joseph Zhang, Ying-Jian Zhou, Min Zhang, Yong-Ping Li, Gang Wang, Bi-Yun Wang, Zhong-Hua Hu, Xi-Chun |
author_facet | Zhang, Jian Jia, Zhen Ragaz, Joseph Zhang, Ying-Jian Zhou, Min Zhang, Yong-Ping Li, Gang Wang, Bi-Yun Wang, Zhong-Hua Hu, Xi-Chun |
author_sort | Zhang, Jian |
collection | PubMed |
description | BACKGROUND: Whether PET scan maximum standard uptake value (SUVmax) could differentiate luminal A from luminal B and help predict the survival of metastatic breast cancer (MBC) patients with luminal subtype is still unknown and need to be investigated. METHODS: 305 MBC patients with luminal subtypes were screened with PET/CT. Eligible patients were prospectively followed up. RESULTS: In total, 134 patients were eligible for this study. SUVmax was significantly related to the number of metastatic sites and presence of visceral metastasis on univariate analysis. SUVmax could not effectively differentiate patients with luminal A from luminal B subtype. Although luminal subtype at diagnosis could predict the relapse-free interval, it could not predict progression-free survival (PFS) or overall survival (OS) after developing relapse. In contrast, SUVmax was predictive of both PFS and OS and this effect was maintained in multivariate COX regression model. CONCLUSIONS: SUVmax of MBC did not correlate with molecular subtypes of primary tumor. While molecular subtype may be a valuable prognostic factor at primary diagnosis of breast cancer, the SUVmax, rather than molecular subtype, does have a potential to predict independently in multivariate analysis for the PFS and OS in patients with metastatic disease of luminal subtype. |
format | Online Article Text |
id | pubmed-3583732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35837322013-02-28 The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer Zhang, Jian Jia, Zhen Ragaz, Joseph Zhang, Ying-Jian Zhou, Min Zhang, Yong-Ping Li, Gang Wang, Bi-Yun Wang, Zhong-Hua Hu, Xi-Chun BMC Cancer Research Article BACKGROUND: Whether PET scan maximum standard uptake value (SUVmax) could differentiate luminal A from luminal B and help predict the survival of metastatic breast cancer (MBC) patients with luminal subtype is still unknown and need to be investigated. METHODS: 305 MBC patients with luminal subtypes were screened with PET/CT. Eligible patients were prospectively followed up. RESULTS: In total, 134 patients were eligible for this study. SUVmax was significantly related to the number of metastatic sites and presence of visceral metastasis on univariate analysis. SUVmax could not effectively differentiate patients with luminal A from luminal B subtype. Although luminal subtype at diagnosis could predict the relapse-free interval, it could not predict progression-free survival (PFS) or overall survival (OS) after developing relapse. In contrast, SUVmax was predictive of both PFS and OS and this effect was maintained in multivariate COX regression model. CONCLUSIONS: SUVmax of MBC did not correlate with molecular subtypes of primary tumor. While molecular subtype may be a valuable prognostic factor at primary diagnosis of breast cancer, the SUVmax, rather than molecular subtype, does have a potential to predict independently in multivariate analysis for the PFS and OS in patients with metastatic disease of luminal subtype. BioMed Central 2013-01-31 /pmc/articles/PMC3583732/ /pubmed/23368410 http://dx.doi.org/10.1186/1471-2407-13-42 Text en Copyright ©2013 Zhang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Jian Jia, Zhen Ragaz, Joseph Zhang, Ying-Jian Zhou, Min Zhang, Yong-Ping Li, Gang Wang, Bi-Yun Wang, Zhong-Hua Hu, Xi-Chun The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
title | The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
title_full | The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
title_fullStr | The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
title_full_unstemmed | The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
title_short | The maximum standardized uptake value of (18) F-FDG PET scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
title_sort | maximum standardized uptake value of (18) f-fdg pet scan to determine prognosis of hormone-receptor positive metastatic breast cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3583732/ https://www.ncbi.nlm.nih.gov/pubmed/23368410 http://dx.doi.org/10.1186/1471-2407-13-42 |
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