Dataset Information

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity ¹⁸F-FDG PET images.

ABSTRACT:

Objective

We aimed to investigate the metabolic characteristics of Solid pseudopapillary neoplasms (SPNs) in relation signal intensities on ¹⁸F-FDG PET scans.

Summary background data

SPNs of the pancreas commonly show high uptake of 18F-FDG. However, the metabolic characteristics underlying the high ¹⁸F-FDG uptake in SPNs are not well characterized.

Materials and methods

mRNA expressions for glucose metabolism were analyzed in five SPNs, five pancreatic ductal adenocarcinomas (PCAs), and paired normal pancreatic tissues. Among the proteins involved in glucose metabolism, the expressions of five proteins (GLUT1, HK1, PFKM, ENO2, and PKM2) were evaluated in 36 SPNs by immunohistochemistry. Clinical patterns of SPN on PET scans were classified according to the proportion of ¹⁸F-FDG uptake within the whole tumor volume (hot: ≥ 70%, mixed: 30 ≤ < 70, and defective: < 30%). PET-based parameters, including maximum standardized uptake value (SUV_max) and metabolic tumor volume (TMV_2.5), were evaluated.

Results

Hot (n = 19), mixed (n = 5), and defective (n = 12) ¹⁸F-FDG uptake patterns were noted in the 36 patients. Radiologic tumor size and SUV_max differed significantly according to these patterns (ANOVA, p < 0.05). GLUT1, HK1, PFKM, ENO2, and PKM2 were highly expressed in SPNs at both the mRNA and protein levels. Defective type SPNs showed lower expression of HK1 (p = 0.014), PKM2 (p = 0.028), and Ki-67 (p = 0.070) with frequent intra-tumoral necrosis (p = 0.007). High Ki-67 expression (≥ 3%) was associated with high SUV_max in pancreatic SPNs (p = 0.002).

Conclusions

SPN cells harbor an active molecular capacity for increased glucose metabolism. Especially, defective type SPNs were associated with low metabolic activity and related to low Ki-67 index.

SUBMITTER: Park M

PROVIDER: S-EPMC5844725 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity <sup>18</sup>F-FDG PET images.

Park Minhee M Hwang Ho Kyoung HK Yun Mijin M Lee Woo Jung WJ Kim Hoguen H Kang Chang Moo CM

Oncotarget 20180103 15

<h4>Objective</h4>We aimed to investigate the metabolic characteristics of Solid pseudopapillary neoplasms (SPNs) in relation signal intensities on <sup>18</sup>F-FDG PET scans.<h4>Summary background data</h4>SPNs of the pancreas commonly show high uptake of 18F-FDG. However, the metabolic characteristics underlying the high <sup>18</sup>F-FDG uptake in SPNs are not well characterized.<h4>Materials and methods</h4>mRNA expressions for glucose metabolism were analyzed in five SPNs, five pancreati ...[more]

PMID: 29552289

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Dataset Information

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity ¹⁸F-FDG PET images.

Objective

Summary background data

Materials and methods

Results

Conclusions

Publications

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity <sup>18</sup>F-FDG PET images.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity 18F-FDG PET images.

Objective

Summary background data

Materials and methods

Results

Conclusions

Publications

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity <sup>18</sup>F-FDG PET images.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Metabolic characteristics of solid pseudopapillary neoplasms of the pancreas: their relationships with high intensity ¹⁸F-FDG PET images.