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Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors

Studies describing the clinical presentation and prognosis of patients with silent PIT1 (pituitary specific transcription factor)‐lineage pituitary neuroendocrine tumors (PitNETs) are rare. We identified patients with positive PIT1 tumor staining but without evidence of hormone hypersecretion at a t...

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Autores principales: Zhao, Jiangyan, Ji, Chenxing, Cheng, Haixia, Ye, Zhen, Yao, Boyuan, Shen, Ming, Shou, Xuefei, Zhou, Xiang, Ye, Hongying, Zhang, Zhaoyun, Chen, Hong, Wang, Yongfei, He, Fuchu, Zhao, Yao, Gong, Wei, Zhang, Qilin, Qiao, Nidan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556262/
https://www.ncbi.nlm.nih.gov/pubmed/37661840
http://dx.doi.org/10.1002/cjp2.340
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author Zhao, Jiangyan
Ji, Chenxing
Cheng, Haixia
Ye, Zhen
Yao, Boyuan
Shen, Ming
Shou, Xuefei
Zhou, Xiang
Ye, Hongying
Zhang, Zhaoyun
Chen, Hong
Wang, Yongfei
He, Fuchu
Zhao, Yao
Gong, Wei
Zhang, Qilin
Qiao, Nidan
author_facet Zhao, Jiangyan
Ji, Chenxing
Cheng, Haixia
Ye, Zhen
Yao, Boyuan
Shen, Ming
Shou, Xuefei
Zhou, Xiang
Ye, Hongying
Zhang, Zhaoyun
Chen, Hong
Wang, Yongfei
He, Fuchu
Zhao, Yao
Gong, Wei
Zhang, Qilin
Qiao, Nidan
author_sort Zhao, Jiangyan
collection PubMed
description Studies describing the clinical presentation and prognosis of patients with silent PIT1 (pituitary specific transcription factor)‐lineage pituitary neuroendocrine tumors (PitNETs) are rare. We identified patients with positive PIT1 tumor staining but without evidence of hormone hypersecretion at a tertiary center. Clusters were obtained according to cell morphology and immunostaining from each patient's digitally segmented whole slide image. We compared the clinical presentations, radiological features, and prognoses of the different clusters. We identified 146 patients (68 male, 42.9 ± 14.1 years old) with silent PIT1‐lineage PitNETs. Morphology clustering suggested that tumors with large nuclei and apparent eccentricity were associated with a higher proportion of aggressiveness and a higher hazard of recurrence [hazard ratio (HR): 2.64, (95% CI, 1.06–6.55), p = 0.037]. Immunohistochemical clustering suggested that tumors with thyroid stimulating hormone (TSH) staining or all negative PIT1‐lineage hormones were associated with a higher proportion of aggressiveness and a higher risk of recurrence [HR: 12.4, (95% CI, 1.60–93.5), p = 0.015]. We obtained three‐tier risk profiles by combining morphological and immunohistochemical clustering. Patients with the high‐risk profile presented the highest recurrence rate compared with those in the medium‐risk and low‐risk profiles [HR: 3.54, (95% CI, 1.40–8.93), p = 0.002]. In conclusion, digital image analysis based on cell morphology and immunohistochemical staining allows objective stratification of patients with silent PIT1‐lineage tumors. Typical morphological characteristics of high‐risk tumors are large tumor nuclei and high eccentricity, and typical immunostaining characteristics are TSH staining or negative staining for all PIT1‐lineage hormones.
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spelling pubmed-105562622023-10-07 Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors Zhao, Jiangyan Ji, Chenxing Cheng, Haixia Ye, Zhen Yao, Boyuan Shen, Ming Shou, Xuefei Zhou, Xiang Ye, Hongying Zhang, Zhaoyun Chen, Hong Wang, Yongfei He, Fuchu Zhao, Yao Gong, Wei Zhang, Qilin Qiao, Nidan J Pathol Clin Res Original Articles Studies describing the clinical presentation and prognosis of patients with silent PIT1 (pituitary specific transcription factor)‐lineage pituitary neuroendocrine tumors (PitNETs) are rare. We identified patients with positive PIT1 tumor staining but without evidence of hormone hypersecretion at a tertiary center. Clusters were obtained according to cell morphology and immunostaining from each patient's digitally segmented whole slide image. We compared the clinical presentations, radiological features, and prognoses of the different clusters. We identified 146 patients (68 male, 42.9 ± 14.1 years old) with silent PIT1‐lineage PitNETs. Morphology clustering suggested that tumors with large nuclei and apparent eccentricity were associated with a higher proportion of aggressiveness and a higher hazard of recurrence [hazard ratio (HR): 2.64, (95% CI, 1.06–6.55), p = 0.037]. Immunohistochemical clustering suggested that tumors with thyroid stimulating hormone (TSH) staining or all negative PIT1‐lineage hormones were associated with a higher proportion of aggressiveness and a higher risk of recurrence [HR: 12.4, (95% CI, 1.60–93.5), p = 0.015]. We obtained three‐tier risk profiles by combining morphological and immunohistochemical clustering. Patients with the high‐risk profile presented the highest recurrence rate compared with those in the medium‐risk and low‐risk profiles [HR: 3.54, (95% CI, 1.40–8.93), p = 0.002]. In conclusion, digital image analysis based on cell morphology and immunohistochemical staining allows objective stratification of patients with silent PIT1‐lineage tumors. Typical morphological characteristics of high‐risk tumors are large tumor nuclei and high eccentricity, and typical immunostaining characteristics are TSH staining or negative staining for all PIT1‐lineage hormones. John Wiley & Sons, Inc. 2023-09-04 /pmc/articles/PMC10556262/ /pubmed/37661840 http://dx.doi.org/10.1002/cjp2.340 Text en © 2023 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Zhao, Jiangyan
Ji, Chenxing
Cheng, Haixia
Ye, Zhen
Yao, Boyuan
Shen, Ming
Shou, Xuefei
Zhou, Xiang
Ye, Hongying
Zhang, Zhaoyun
Chen, Hong
Wang, Yongfei
He, Fuchu
Zhao, Yao
Gong, Wei
Zhang, Qilin
Qiao, Nidan
Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors
title Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors
title_full Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors
title_fullStr Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors
title_full_unstemmed Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors
title_short Digital image analysis allows objective stratification of patients with silent PIT1‐lineage pituitary neuroendocrine tumors
title_sort digital image analysis allows objective stratification of patients with silent pit1‐lineage pituitary neuroendocrine tumors
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10556262/
https://www.ncbi.nlm.nih.gov/pubmed/37661840
http://dx.doi.org/10.1002/cjp2.340
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