Format

Send to

Choose Destination
Eur J Nucl Med Mol Imaging. 2013 Sep;40(9):1304-11. doi: 10.1007/s00259-013-2418-7. Epub 2013 Apr 30.

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

Author information

1
Nuclear Medicine Department, University General Hospital, C/ Obispo Rafael Torija s/n, 13005, Ciudad Real, Spain. angarvice@yahoo.es

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.

Comment in

PMID:
23632960
DOI:
10.1007/s00259-013-2418-7
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center