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The prognostic impact of a high number of peritumoral alveolar macrophages in neuroendocrine carcinoma in the lung
Pathology International ( IF 2.5 ) Pub Date : 2023-08-17 , DOI: 10.1111/pin.13365
Takehiko Tanaka 1, 2 , Shigeki Umemura 3 , Tomohiro Miyoshi 2 , Tokiko Nakai 1 , Osamu Noritake 2 , Jun Suzuki 2 , Kenta Tane 2 , Joji Samejima 2 , Keiju Aokage 2 , Sachiyo Mimaki 4 , Katsuya Tsuchihara 4 , Tetsuro Taki 1 , Saori Miyazaki 1 , Reiko Watanabe 1 , Shingo Sakashita 1, 5 , Naoya Sakamoto 1, 5 , Motohiro Kojima 1, 5 , Koichi Goto 3 , Norihiko Ikeda 6 , Masahiro Tsuboi 2 , Genichiro Ishii 1, 7
Affiliation  

Alveolar macrophages (AMs) are resident macrophages in the lungs; however, whether the number of AMs plays a role in the lung neuroendocrine tumor (NET) prognosis remains unclear. We counted the number of AMs located around the tumor (peritumoral alveolar macrophages [pAMs]) and the number of AMs located apart from the tumor (distant macrophages; dAMs). In 73 cases of neuroendocrine carcinoma (NEC: small cell lung carcinoma and large cell neuroendocrine carcinoma), the group that contained higher pAMs (≥86/μm2) revealed shorter recurrent-free survival (RFS) than those with lower pAMs (<86/μm2) (p = 0.005). Bivariate analysis showed that the number of pAMs was an independent predictor of a poor RFS. In contrast, in the carcinoid tumor cohort (n = 29), there was no statistically significant correlation between the two groups with high and low numbers of pAMs in RFS (p = 0.113). Furthermore, we examined the correlation between genomic alterations and the number of pAMs in NEC, but no significant correlation was observed. In conclusion, the number of pAMs is a prognostic factor for NEC in the lung and pAMs may contribute to tumor progression within the peritumoral microenvironment.

中文翻译:

大量瘤周肺泡巨噬细胞对肺部神经内分泌癌的预后影响

肺泡巨噬细胞 (AM) 是肺部常驻巨噬细胞;然而,AM 的数量是否在肺神经内分泌肿瘤 (NET) 预后中发挥作用仍不清楚。我们计算了位于肿瘤周围的 AM(肿瘤周围肺泡巨噬细胞 [pAM])的数量和位于肿瘤之外的 AM(远处巨噬细胞;dAM)的数量。在73例神经内分泌癌(NEC:小细胞肺癌和大细胞神经内分泌癌)中,pAM较高(≥86/μm 2)的组比pAM较低(<86)的组显示出更短的无复发生存期(RFS) /μm 2 ) ( p  = 0.005)。双变量分析表明,pAM 的数量是 RFS 较差的独立预测因子。相比之下,在类癌队列中 ( n  = 29),RFS 中 pAM 数量高和低的两组之间不存在统计学显着相关性 ( p  = 0.113)。此外,我们检查了 NEC 中基因组改变与 pAM 数量之间的相关性,但没有观察到显着相关性。总之,pAM 的数量是肺部 NEC 的预后因素,并且 pAM 可能有助于瘤周微环境内的肿瘤进展。
更新日期:2023-08-17
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