Matsuoka Shunichiro, Eguchi Takashi, Iwaya Mai, Seshimoto Maho, Mishima Shuji, Hara Daisuke, Kumeda Hirotaka, Miura Kentaro, Hamanaka Kazutoshi, Uehara Takeshi, Shimizu Kimihiro
Division of General Thoracic Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
Department of Laboratory Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Heliyon. 2024 Sep 4;10(17):e37412. doi: 10.1016/j.heliyon.2024.e37412. eCollection 2024 Sep 15.
Spread through air spaces (STAS) is a form of lung cancer invasion that extends beyond the tumor edge and is associated with a worse prognosis. Recent advances in immunotherapy highlight the importance of understanding the tumor microenvironment. This study aimed to investigate the prognostic significance of immune-cell distribution in lung cancer, focusing on the association with STAS.
We retrospectively analyzed 283 patients who underwent curative-intent lung resection for primary lung cancer. Multiplex immunofluorescence staining/phenotyping was performed on tissue microarrays to assess the distribution of CD4, CD8, CD20, CD68, and FoxP3 immune cells within the center and tumor edge. We defined the delta-Edge value (Δ) as the difference in the number of immune cells between the tumor edge and center. Recurrence-free probability (RFP) was analyzed using Kaplan-Meier and Cox proportional hazard models.
High ΔCD4 and ΔCD8 values were significantly associated with worse RFP. In stage I adenocarcinoma patients, STAS, and high ΔCD8 were independent risk factors for recurrence. Effect modification analysis revealed that high ΔFoxP3 was significantly associated with worse RFP in patients with STAS, but not in those without STAS. Patients with STAS and high Δimmune cell values had the lowest RFP among all groups.
Immune-cell distribution, particularly CD4, CD8, and FoxP3, is a crucial prognostic factor in lung cancer. STAS and specific immune cell distribution patterns can be used to further stratify patient prognosis. Understanding these interactions may provide insights into potential therapeutic targets for personalized lung cancer treatment.
气腔播散(STAS)是肺癌侵袭的一种形式,其超出肿瘤边缘,与更差的预后相关。免疫治疗的最新进展凸显了了解肿瘤微环境的重要性。本研究旨在探讨肺癌中免疫细胞分布的预后意义,重点关注其与STAS的关联。
我们回顾性分析了283例行根治性肺切除术治疗原发性肺癌的患者。对组织芯片进行多重免疫荧光染色/表型分析,以评估中心和肿瘤边缘CD4、CD8、CD20、CD68和FoxP3免疫细胞的分布。我们将边缘差值(Δ)定义为肿瘤边缘和中心免疫细胞数量的差异。采用Kaplan-Meier法和Cox比例风险模型分析无复发生存概率(RFP)。
高ΔCD4和ΔCD8值与较差的RFP显著相关。在I期腺癌患者中,STAS和高ΔCD8是复发的独立危险因素。效应修饰分析显示,高ΔFoxP3与STAS患者较差的RFP显著相关,但与无STAS患者无关。STAS且高Δ免疫细胞值的患者在所有组中RFP最低。
免疫细胞分布,尤其是CD4、CD8和FoxP3,是肺癌的关键预后因素。STAS和特定的免疫细胞分布模式可用于进一步分层患者预后。了解这些相互作用可能为个性化肺癌治疗的潜在治疗靶点提供见解。