Abstract Colorectal cancer (CRC) is a major malignancy with high global mortality. The tumor immune microenvironment, particularly tertiary lymphoid structures (TLSs), has gained increasing attention for its role in antitumor immunity. However, their specific functions in CRC and the prognostic relevance of TLS-associated cells remain unclear. We analyzed 166 CRC patients who underwent curative resection, evaluating TLSs by hematoxylin and eosin (H 0.05). In contrast, high CAF density within TLSs was associated with poorer outcomes (P 0.01), whereas a high abundance of CD8+ T cells predicted improved survival. Furthermore, using Xenium Explorer spatial transcriptomics, we confirmed the spatial coexistence of CAFs and immune cells within TLSs in colorectal cancer. In particular, CAF accumulation within TLSs may reshape the immune microenvironment and potentially impair antitumor T-cell activity. Citation Format: Zizhou Wang, Hiroaki Kasashima, Yukina Kusunoki, Yasuhiro Fukui, Iguru Omori, Nobuhiro Naito, Hideki Tanda, Yuki Seki, Kenji Kuroda, Yuichiro Miki, Mami Yoshii, Tatsuro Tamura, Masatsune Shibutani, Takahiro Toyokawa, Yu Muta, Yuki Nakanishi, Masakazu Yashiro, Kiyoshi Maeda. Tertiary lymphoid structures in colorectal cancer: Clinical significance and their interaction with CAFs and the immune microenvironment abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2218.
Building similarity graph...
Analyzing shared references across papers
Loading...
Wang et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d1fdf7a79560c99a0a4611 — DOI: https://doi.org/10.1158/1538-7445.am2026-2218
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Zizhou Wang
Hiroaki Kasashima
Yukina Kusunoki
Cancer Research
Kyoto University
Matsumoto University
Osaka Metropolitan University
Building similarity graph...
Analyzing shared references across papers
Loading...