The relationship between HER2 status acquired from pathological data and metabolic parameters from pre-treatment [18F]FDG PET/CT in gastric adenocarcinomas
- M N Acar Tayyar 1, M Ö Tamam 1, G B Babacan 1, M C Şahin 1, H Özçevik 2, S Şengiz Erhan 3, A E Öztürk 4
- M N Acar Tayyar 1, M Ö Tamam 1, G B Babacan 1
- 1Department of Nuclear Medicine, University of Health Sciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Turkey.
- 2Department of Nuclear Medicine, University of Health Sciences, Başaksehir Çam and Sakura City Hospital, Istanbul, Turkey.
- 3Department of Pathology, University of Health Sciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Turkey.
- 4Department of Medical Oncology, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Turkey; University of Health Sciences, Istanbul, Turkey.
- 0Department of Nuclear Medicine, University of Health Sciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Turkey.
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View abstract on PubMed
Summary
This summary is machine-generated.This study found no link between Human Epidermal Growth Factor Receptor 2 (HER2) status and [18F]FDG PET/CT metabolic parameters in gastric cancer. However, PET/CT markers of tumor aggressiveness and prognosis were more predictive than HER2 status.
Area Of Science
- Oncology
- Nuclear Medicine
- Radiomics
Background
- Human Epidermal Growth Factor Receptor 2 (HER2) overexpression is linked to aggressive gastric cancer.
- Assessing HER2 status and other prognostic factors is crucial for treatment planning and survival prediction.
Purpose Of The Study
- To evaluate the predictive value of [18F]FDG PET/CT metabolic parameters for HER2 status in gastric cancer.
- To investigate the association between PET/CT findings, pathological parameters, and patient survival.
Main Methods
- Retrospective analysis of pretreatment [18F]FDG PET/CT metabolic parameters in 117 patients with known HER2 status.
- Examination of relationships between pathological data, tumor metabolism, and distant metastases.
- Investigation of the impact on overall survival using Cox-regression analysis.
Main Results
- No significant association was found between [18F]FDG PET/CT parameters and HER2 status.
- Vascular invasion, local invasion (T3/T4), and distant metastasis were identified as poor prognostic factors.
- Distant metastasis correlated with higher SUVmax, SUVmean, and TLG, indicating increased tumor metabolism.
Conclusions
- [18F]FDG PET/CT metabolic parameters do not correlate with HER2 expression in gastric cancer.
- Tumor aggressiveness and prognosis are better predicted by PET/CT parameters than by HER2 status.
- Distant metastasis, local invasion, and vascular invasion are associated with primary tumor metabolism, irrespective of HER2 status.
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