Automated Assessment of the Area of Infiltration by CD8 + Cells in Gastric Carcinoma and Areas of Normal Mucosa as a Significant Prognostic Factor.

Autor: Danilova NV; Medical Scientific Educational Center, M. V. Lomonosov Moscow State University, Moscow, Russia. natalyadanilova@gmail.com., Mikhailov IA; Medical Scientific Educational Center, M. V. Lomonosov Moscow State University, Moscow, Russia., Khomyakov VM; P. A. Herzen Moscow Research Oncological Institute - Branch of National Medical Research Center of Radiology, Ministry of Health of the Russian Federation, Moscow, Russia., Chaika AV; P. A. Herzen Moscow Research Oncological Institute - Branch of National Medical Research Center of Radiology, Ministry of Health of the Russian Federation, Moscow, Russia., Polushkina TV; I. V. Davydovsky City Clinical Hospital, Moscow Healthcare Department, Moscow, Russia., Sotnikova TN; I. V. Davydovsky City Clinical Hospital, Moscow Healthcare Department, Moscow, Russia., Oleinikova NA; Medical Scientific Educational Center, M. V. Lomonosov Moscow State University, Moscow, Russia., Mal'kov PG; Medical Scientific Educational Center, M. V. Lomonosov Moscow State University, Moscow, Russia.
Jazyk: angličtina
Zdroj: Bulletin of experimental biology and medicine [Bull Exp Biol Med] 2023 Aug; Vol. 175 (4), pp. 508-512. Date of Electronic Publication: 2023 Sep 28.
DOI: 10.1007/s10517-023-05896-x
Abstrakt: In 139 patients with verified gastric cancer, the infiltration of the postoperative material with CD8 + cells was analyzed. Automated morphometric analysis of immunostained slides was performed separately in different specimen sites (tumor center, invasive edge, and peritumoral mucosa). The mean area of infiltrating CD8 + cells in the tumor center and in the invasive edge was not predictive, while in the peritumoral mucosa it provided a new negative predictive factor (hazard ratio 2.10; confidence interval 0.87-4.92, Cox regression) reliably associated with the TNM stage (hazard ratio 1.91; confidence interval 0.91-4.61, Cox regression).
(© 2023. Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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