神经内分泌肿瘤对肽受体放射性核素疗法反应的血管生成生物标志物。

Janusz Strzelczyk, Monika Wójcik-Giertuga, Karolina Makulik, Violetta Rosiek, Grzegorz Kamiński, Dariusz Kajdaniuk, Beata Kos-Kudła
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摘要

背景:神经内分泌肿瘤(NET)是一类异质性肿瘤,其特点是血管丰富。血管生成在 NET 中的作用已得到广泛研究。肽受体放射性核素疗法(PRRT)是治疗NET疾病进展期患者的有效方法。由于NET的异质性,患者对治疗的反应也不尽相同。目前,寻找有助于评估 NET 治疗反应的有效标记至关重要。本研究旨在评估接受PRRT治疗的胃-肠-胰(GEP)和支气管-肺(BP)NET患者的嗜铬粒蛋白A(CgA)和血管生成因子:研究组包括40名完成四个周期PRRT治疗的GEP NET和BP NET患者。在四个周期的 PRRT 治疗前后,对血清中 CgA 和血管生成因子(如血管内皮生长因子(VEGF)及其受体(VEGF-R1、VEGF-R2、VEGF-R3))的水平进行了评估。所有检测结果均采用 ELISA 方法测定:结果:PRRT后,CgA、VEGF-R1和VEGF-R2的浓度明显下降,而VEGF-R3的浓度明显上升。PRRT 对血管内皮生长因子没有影响,放射性同位素治疗前后浓度相似。根据AUROC,只有VEGF-R1的AUC为0.7,可视为对PRRT治疗的良好反应:结论:VEGF-R1可能是评估PRRT对NET患者疗效的潜在生物标志物。
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Angiogenic biomarkers of response to treatment with peptide receptor radionuclide therapy in neuroendocrine tumours.

Background: Neuroendocrine tumours (NETs) are a heterogeneous group of tumours, which is characterized by rich vascularization. The role of angiogenesis in NETs has been widely researched. Peptide receptor radionuclide therapy (PRRT) is an effective treatment method for patients with disease progression in NETs. Due to the heterogeneousness of NETs, the response to treatment varies. Currently, the finding of efficient markers helpful in assessing the response to treatment in NETs is crucial. The aim of this study was to assess chromogranin A (CgA) and angiogenic factors in gastro-entero-pancreatic (GEP) and broncho-pulmonary (BP) NET patients treated with PRRT.

Material and methods: The study group included 40 patients with GEP NETs and BP NETs who completed four cycles of PRRT. Serum levels of CgA and angiogenic factors such as vascular endothelial growth factor (VEGF), its receptors (VEGF-R1, VEGF-R2, VEGF-R3), were assessed before and after four cycles of PRRT. All tests were determined using ELISA.

Results: The concentration of CgA, VEGF-R1 and VEGF-R2 decreased significantly, whereas VEGF-R3 increased significantly after PRRT. PRRT did not affect VEGF, it was similar before and after the radioisotope treatment. Based on AUROC, only for VEGF-R1 AUC was a consequence of 0.7 which can be considered as a good response to PRRT treatment.

Conclusions: VEGF-R1 may be a potential biomarker useful in assessing the effectiveness of PRRT in NET patients.

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