The relationship between 18F-FDG metabolic volumetric parameters and clinicopathological factors of breast cancer

Kaida, Hayato; Toh, Uhi; Hayakawa, Masanobu; Hattori, Satoshi; Fujii, Teruhiko; Kurata, Seiji; Kawahara, Akihiko; Hirose, Yasumitsu; Kage, Masayoshi; Ishibashi, Masatoshi

doi:10.1097/mnm.0b013e328360d945

Cited by 36 publications

(32 citation statements)

References 14 publications

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“…On the basis of our previous findings 1 5 , we hypothesized that an acidity biomarker should have two characteristics. First, as the rate of glycolysis increases with breast cancer progression, this should also lead to an association of progression with acidity 11 38 . Hence, a biomarker of acidosis should increase with stage.…”

Section: Resultsmentioning

confidence: 99%

Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane

et al. 2015

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Early cancers are avascular and hence, profoundly acidic. Pre-malignant cells must adapt to acidosis to thrive in this hostile microenvironment. Here, we investigate MCF-7 cells that are adapted to grow in acidic conditions using SILAC proteomics and we reveal a significant upregulation of lysosomal proteins. Prominent among these is LAMP2 that functions to protect lysosomal membranes from acid proteolysis. LAMP2 upregulation by acidosis is confirmed both in vitro and in vivo. Furthermore, we show that the depletion of LAMP2 is sufficient to increase acidosis-mediated toxicity. In breast cancer patient samples, there is a high correlation of LAMP2 mRNA and protein expression with progression. We also observe that LAMP2 is located at the plasma membrane in clinical samples and this redistribution is acid-induced in vitro. Our findings suggest a potential adaptive mechanism, wherein cells chronically exposed to an acidic environment translocate lysosomal proteins to their surface, thus protecting the plasmalemma from acid-induced hydrolysis.

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Section: Resultsmentioning

confidence: 99%

Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane

et al. 2015

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“…Our Institutional Review Board approved the retrospective chart review (2014-04-027-002). The inclusion criteria were verification of primary IDC and ALN metastasis by histological evaluation, preoperative FDG PET/CT for clinical staging, and tumors >1 cm in pathologic size based on full-width at half maximum (FWHM) of PET [ 13 14 15 ]. Patients who had bilateral breast cancers and those who had received neoadjuvant chemotherapy or radiotherapy before surgery were excluded from the study.…”

Section: Methodsmentioning

confidence: 99%

Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative¹⁸F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer

et al. 2015

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PurposeThis study assessed the axillary lymph node (ALN)-to-primary tumor maximum standard uptake value (SUVmax) ratio (ALN/T SUV ratio) in invasive ductal breast cancer (IDC) on preoperative 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) to determine the effectiveness in predicting recurrence-free survival (RFS).MethodsOne hundred nineteen IDC patients (mean age, 50.5±10.5 years) with pathologically proven ALN involvement without distant metastasis and preoperative FDG PET/CT were enrolled in the study. SUVmax values of the ALN and primary tumor were obtained on FDG PET/CT, and ALN/T SUV ratio was calculated. Several factors were evaluated for their effectiveness in predicting RFS. These included several parameters on FDG PET/CT as well as several clinicopathological parameters: pathologic tumor/node stage; nuclear and histological grade; hormonal state; status with respect to human epidermal growth factor receptor 2, mindbomb E3 ubiquitin protein ligase 1 (MIB-1), and p53; primary tumor size; and ALN size.ResultsAmong 119 patients with breast cancer, 17 patients (14.3%) experienced relapse during follow-up (mean follow-up, 28.4 months). The ALN/T SUV ratio of the group with disease recurrence was higher than that of the group without recurrence (0.97±1.60 and 0.45±0.40, respectively, p=0.005). Univariate analysis showed that the primary tumor SUVmax, ALN SUVmax, ALN/T SUV ratio, ALN status, nuclear and histological grade, estrogen receptor (ER) status, and MIB-1 status were predictors for RFS. Among these variables, ALN/T SUV ratio with hazard ratio of 4.20 (95% confidence interval [CI], 1.74-10.13) and ER status with hazard ratio of 4.33 (95% CI, 1.06-17.71) were predictors for RFS according to multivariate analysis (p=0.002 and p=0.042, respectively).ConclusionOur study demonstrated that ALN/T SUV ratio together with ER status was an independent factor for predicting relapse in IDC with metastatic ALN. ALN/T SUV ratio on preoperative FDG PET/CT may be a useful marker for selecting IDC patients that need adjunct treatment to prevent recurrence.

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“…However, the relationship between SUV max and clinicopathological factors of breast cancer is diverse and has not been entirely elucidated. Kaida et al [37] performed studies on PET volumetric parameters in patients with breast carcinoma and concluded that MTV and TLG are related to certain clinicopathological factors of breast carcinoma. By comparing three different quantification parameters, they showed that TLG showed better tumor metabolism for those isolated clinicopathological factors of breast carcinoma than SUV max or MTV.…”

Section: Feature Definition Descriptionmentioning

confidence: 99%

Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology

Rahim

Kim

et al. 2014

Nucl Med Mol Imaging

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Image quantification studies in positron emission tomography/computed tomography (PET/CT) are of immense importance in the diagnosis and follow-up of variety of cancers. In this review we have described the current image quantification methodologies employed in (18)F-fluorodeoxyglucose ((18)F-FDG) PET in major oncological conditions with particular emphasis on tumor heterogeneity studies. We have described various quantitative parameters being used in PET image analysis. The main contemporary methodology is to measure tumor metabolic activity; however, analysis of other image-related parameters is also increasing. Primarily, we have identified the existing role of tumor heterogeneity studies in major cancers using (18)F-FDG PET. We have also described some newer radiopharmaceuticals other than (18)F-FDG being studied/used in the management of these cancers. Tumor heterogeneity studies are being performed in almost all major oncological conditions using (18)F-FDG PET. The role of these studies is very promising in the management of these conditions.

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The relationship between 18F-FDG metabolic volumetric parameters and clinicopathological factors of breast cancer

Abstract: TLG may reflect tumor metabolism for clinicopathological factors of breast cancer better than SUV(max) or MTV.

Cited by 36 publications

References 14 publications

Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane

Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane

Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative¹⁸F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer

Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology

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The relationship between 18F-FDG metabolic volumetric parameters and clinicopathological factors of breast cancer

Abstract: TLG may reflect tumor metabolism for clinicopathological factors of breast cancer better than SUV(max) or MTV.

Cited by 36 publications

References 14 publications

Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane

Chronic acidosis in the tumour microenvironment selects for overexpression of LAMP2 in the plasma membrane

Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative18F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer

Recent Trends in PET Image Interpretations Using Volumetric and Texture-based Quantification Methods in Nuclear Oncology

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Axillary Lymph Node-to-Primary Tumor Standard Uptake Value Ratio on Preoperative¹⁸F-FDG PET/CT: A Prognostic Factor for Invasive Ductal Breast Cancer