Quantitative digital image analysis of somatostatin receptor 2 immunohistochemistry in pancreatic neuroendocrine tumors
Quantitative digital image analysis of somatostatin receptor 2 immunohistochemistry in pancreatic neuroendocrine tumors
复制标题
胰腺神经内分泌肿瘤生长抑素受体2免疫组织化学的定量数字图像分析
DOI:
10.1007/s00795-021-00294-6
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发表时间:
2021
影响因子:
1.8
通讯作者:
Sasano Hironobu
中科院分区:
文献类型:
--
作者:
Watanabe Hirofumi;Ide Rioko;Yamazaki Yuto;Fujishima Fumiyoshi;Kasajima Atsuko;Yazdani Samaneh;Tachibana Tomoyoshi;Motoi Fuyuhiko;Unno Michiaki;Sasano Hironobu
Immunohistochemical analysis of somatostatin receptor 2 (SSTR2) provides important information regarding the potential therapeutic efficacy of somatostatin analogues (SSAs) in patients with neuroendocrine tumors. HER2 scoring has been proposed to interpret SSTR2 immunoreactivity but their reproducibility was relatively low because of its intrinsic subjective nature. Digital image analysis (DIA) has recently been proposed as an objective and more precise method of evaluating immunoreactivity. Therefore, in this study, we used DIA for analyzing SSTR2 immunoreactivity in pancreatic neuroendocrine tumors (PanNETs) to obtain itsHscore and “(%) strong positive cells” and compared the results with those of manually obtained HER2 scores. Membranous SSTR2 immunoreactivity evaluated by DIA was calculated by two scales as: “Membrane Optical Density” and “Minimum Membrane Completeness”. PanNETs with HER2 score of > 2 demonstrated the highest concordance with results of “(%) strong positive cells” obtained by DIA when “Minimum Membrane Completeness” was tentatively set at 80%. The SSTR2 immunoreactivity, evaluated based on all scoring systems, was different between grades G1 and G2 in insulinoma but not in non-functional PanNETs. DIA provided reproducible results of SSTR2 immunoreactivity in PanNETs and yielded important information as to the potential application of SSAs.
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影响因子:
--
作者:
Faggiano A;Carratù AC;Guadagno E;Tafuto S;Tatangelo F;Riccardi F;Mocerino C;Palmieri G;Damiano V;Siciliano R;Leo S;Mauro A;Tozzi LF;Battista C;De Rosa G;Colao A
通讯作者:
Colao A
影响因子:
1.6
作者:
S. Nielsen
通讯作者:
S. Nielsen
影响因子:
6.4
作者:
Koopman, Timco;de Bock, Geertruida H.;van der Vegt, Bert
通讯作者:
van der Vegt, Bert
影响因子:
2.4
作者:
Webster, J. D.;Dunstan, R. W.
通讯作者:
Dunstan, R. W.
影响因子:
2.8
作者:
Jakobsen, Morten Ragn;Teerapakpinyo, Chinachote;Keelawat, Somboon
通讯作者:
Keelawat, Somboon