Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer

Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer

Abstract With the incorporation of immune checkpoint inhibitors into the treatment of endometrial cancer (EC), a deeper understanding of the tumor immune microenvironment is critical. Tertiary lymphoid structures (TLSs) are considered favorable prognostic factors for EC, but the significance of thei...

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Main Authors: Haruka Suzuki, Kohei Hamada, Junzo Hamanishi, Akihiko Ueda, Ryusuke Murakami, Mana Taki, Rin Mizuno, Koichi Watanabe, Hanako Sato, Yuko Hosoe, Hiroaki Ito, Koji Yamanoi, Hiroyuki Yoshitomi, Nobuyuki Kakiuchi, Ken Yamaguchi, Noriomi Matsumura, Seishi Ogawa, Hideki Ueno, Masaki Mandai
Format: Article
Language:English
Published: Springer 2025-02-01
Series:Cancer Immunology, Immunotherapy
Subjects:
Endometrial cancer
Tertiary lymphoid structure
Immune checkpoint inhibitors
Artificial intelligence
B cell receptor repertoire
Online Access:https://doi.org/10.1007/s00262-024-03929-6
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https://doi.org/10.1007/s00262-024-03929-6

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