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Identification and Quantification of Radiotherapy-related Protein Expression in Cancer Tissues Using the Qupath Software and Prediction of Treatment Response.
Hasegawa, Tomokazu; Someya, Masanori; Tsuchiya, Takaaki; Kitagawa, Mio; Fukushima, Yuki; Gocho, Toshio; Mafune, Shoh; Okuda, Ryuu; Kaguchi, Juno; Ohguro, Atsuya; Kamiyama, Ryo; Ashina, Ayato; Toshima, Yuka; Hirohashi, Yoshihiko; Torigoe, Toshihiko; Sakata, Koh-Ichi.
Afiliación
  • Hasegawa T; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan; hasse@sapmed.ac.jp.
  • Someya M; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Tsuchiya T; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Kitagawa M; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Fukushima Y; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Gocho T; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Mafune S; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Okuda R; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Kaguchi J; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Ohguro A; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Kamiyama R; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Ashina A; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Toshima Y; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Hirohashi Y; Department of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Torigoe T; Department of Pathology, Sapporo Medical University School of Medicine, Sapporo, Japan.
  • Sakata KI; Department of Radiology, Sapporo Medical University School of Medicine, Sapporo, Japan.
In Vivo ; 38(3): 1470-1476, 2024.
Article en En | MEDLINE | ID: mdl-38688633
ABSTRACT
BACKGROUND/

AIM:

Automated measurement of immunostained samples can enable more convenient and objective prediction of treatment outcome from radiotherapy. We aimed to validate the performance of the QuPath image analysis software in immune cell markers detection by comparing QuPath cell counting results with those of physician manual cell counting. PATIENTS AND

METHODS:

CD8- and FoxP3-stained cervical, CD8-stained oropharyngeal, and Ku70-stained prostate cancer tumor sections were analyzed in 104 cervical, 92 oropharyngeal, and 58 prostate cancer patients undergoing radiotherapy at our Institution.

RESULTS:

QuPath and manual counts were highly correlated. When divided into two groups using ROC curves, the agreement between QuPath and manual counts was 89.4% for CD8 and 88.5% for FoxP3 in cervical cancer, 87.0% for CD8 in oropharyngeal cancer and 80.7% for Ku70 in prostate cancer. In cervical cancer, the high CD8 group based on QuPath counts had a better prognosis and the low CD8 group had a significantly worse prognosis [p=0.0003; 5-year overall survival (OS), 65.9% vs. 34.7%]. QuPath counts were more predictive than manual counts. Similar results were observed for FoxP3 in cervical cancer (p=0.002; 5-year OS, 62.1% vs. 33.6%) and CD8 in oropharyngeal cancer (p=0.013; 5-year OS, 80.2% vs. 47.2%). In prostate cancer, high Ku70 group had worse and low group significantly better outcome [p=0.007; 10-year progression-free survival (PFS), 56.0% vs. 93.8%].

CONCLUSION:

QuPath showed a strong correlation with manual counting, confirming its utility and accuracy and potential applicability in clinical practice.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: In Vivo Asunto de la revista: NEOPLASIAS Año: 2024 Tipo del documento: Article Pais de publicación: Grecia
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: In Vivo Asunto de la revista: NEOPLASIAS Año: 2024 Tipo del documento: Article Pais de publicación: Grecia