当前位置： SCI文献检索 > EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING期刊下所有文献 > Molecular subtypes of breast cancer: metabolic correlation with ¹⁸F-FDG PET/CT.

Molecular subtypes of breast cancer: metabolic correlation with ¹⁸F-FDG PET/CT.

Abstract：

PURPOSE:To determine whether the metabolic features of breast tumours differ among molecular subtypes. METHODS:This prospective study included 168 women diagnosed with locally advanced breast cancer. PET/CT was requested in the initial staging before neoadjuvant treatment (multicentre study, FISCAM grant). All patients underwent an ¹⁸F-FDG PET/CT scan with a dual time-point acquisition. Both examinations (PET-1 and PET-2) were evaluated qualitatively and semiquantitatively with calculation of SUVmax (SUV-1 and SUV-2, respectively), and the percentage variation in the SUVs and retention indexes (RI) between PET-1 and PET-2 in the breast tumour were calculated. Biological prognostic parameters, including the steroid receptor status, HER-2 expression, proliferation rate (Ki-67) and grading, were determined from primary tumour tissue. Tumour subtypes were classified following the recommendations of the 12th International Breast Conference, by immunohistochemical surrogates as luminal A, luminal B-HER2(-), luminal B-HER2(+), HER2(+) or basal. Metabolic semiquantitative parameters and molecular subtypes were correlated. RESULTS:Of the 168 tumours, 151 were classified: 16 were luminal A, 53 were luminal B-HER2(-), 29 were luminal B-HER2(+), 18 were HER2(+) and 35 were basal. There were significant differences between SUV-1 and SUV-2 and the different subtypes, with higher SUVs in HER2(+) and basal tumours. No significant differences were found with respect to RI. CONCLUSION:Semiquantitative metabolic parameters showed statistically significant differences among the molecular subtypes of the tumours evaluated. Therefore, there seems to be a relationship between molecular and glycolytic phenotypes.

journal_name

Eur J Nucl Med Mol Imaging

journal_title

European journal of nuclear medicine and molecular imaging

authors

García Vicente AM,Soriano Castrejón Á,León Martín A,Chacón López-Muñiz I,Muñoz Madero V,Muñoz Sánchez Mdel M,Palomar Muñoz A,Espinosa Aunión R,González Ageitos A

doi

10.1007/s00259-013-2418-7

subject

Has Abstract

pub_date

2013-09-01 00:00:00

pages

1304-11

issue

9

eissn

1619-7070

issn

1619-7089

journal_volume

40

pub_type

杂志文章

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