PO.TB10.04 · 肿瘤生物学
SPP1 阳性巨噬细胞空间特征与 III-IV 期结肠癌多种病理参数的相关性
SPP1 positive macrophage spatial feature correlation to stage III-IV colon cancer multiple pathology parameters
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
结直肠癌(CRC)是一种常见的胃肠道恶性肿瘤,发病率和死亡率均较高。我们此前的研究表明,与其他免疫细胞相比,巨噬细胞在 III-IV 期结肠癌中表现出显著变化。本研究回顾了 11 例携带不同病理和治疗情况的 III-IV 期 CRC 患者存档 FFPE 样本,以研究巨噬细胞的细胞特征。使用 PN 7-Plex 检测试剂盒(PhenoVision Bio Co., Itd)进行了 IHC 对照、多重免疫荧光(mIF)检测板对照及随后的 mIF 染色,靶向 CD68、CD163、HLA-DR、panCK、SPP1 和 PD-L1。QC 程序确保 mIF 结果中每种标记与 IHC 染色中同一标记表现出相同的位置和密度。扫描了 11 张染色切片,病理学家基于每个样本连续切片的 H&E 染色勾画出肿瘤区域。使用经 Oncotopix Discovery 系统(Visiopharm)训练的 PhenoVision mIF AI 分析系统分析了非肿瘤区、肿瘤实质区和肿瘤基质区。在 11 个样本中分析了阳性细胞百分比。统计分析显示,基于二元逻辑回归,肿瘤基质区中 CD68+/SPP1+ 共阳性细胞与 PCR/非 PCR 的病理参数(p=0.05)、dMMR/pMMR(p=0.024)、有或无黏液池(p=0.022)相关。PD-L1 在肿瘤实质区与 dMMR/pMMR 相关。共阳性标记与治疗组(p=0.069)和坏死组(p=0.313)无相关性。PCR 组与非 PCR 组相比,肿瘤基质区中 CD68+/SPP1+ 细胞百分比更低(0.46% 对 2.01%,p=0.049),无细胞黏液池组与有细胞黏液池组相比也更低(0.47% 对 2.39%,p=0.022)。有趣的是,pMMR 组与 dMMR 组相比,CD68+/SPP1+ 细胞更多(1.94% 对 0.24%,p=0.027)。CD68+/SPP1+ 共阳性细胞分布在坏死组(有对无坏死,p=0.254)、不同治疗策略(放化疗+免疫治疗对免疫治疗,p=0.066)和病理分期(III 对 IV,p=0.460)之间,在肿瘤区、基质区和正常区均未表现出差异。除肿瘤基质区中 CD68+/SPP1+ 共阳性标记外,dMMR 患者样本肿瘤实质区中 PD-L1 阳性细胞百分比高于 pMMR 样本(10.09% 对 1.04%,p=0.024)。本研究表明,CD68+/SPP1+ 细胞的空间特征与 III-IV 期结肠癌的 PCR 分期、MMR 分期和黏液池情况相关。增加样本数量可能会得出该标记与治疗差异的相关性,提示该标记的分布特征可用于 III 至 IV 期 CRC 患者的健康监测方案。
查看英文原文 English abstract
Colorectal cancer (CRC) is a frequent gastrointestinal malignancy with high rates of morbidity and mortality. Our previous studies have shown macrophages exhibited significant variations in stage III-IV colon cancer compared to other immune cells. Current study reviewed 11 stage III-IV CRC patient archived FFPE samples carried varied pathology and treatment conditions to investigate macrophage cell features. IHC control, multiplex immunofluorescence (mIF) panel control and the followed mIF staining were conducted using PN 7-Plex Detection Kit (PhenoVision Bio Co., Itd) targeted CD68, CD163, HLA-DR, panCK, SPP1 and PD-L1. The QC procedures made sure each marker from mIF results exhibited identical location and density of the same marker from IHC staining. The 11 staining slides were scanned, tumor areas were lined out by pathologist based on H&E staining from the serial section of each sample. Non-tumor region, tumor parenchyma and tumor stromal region were analyzed using PhenoVision mIF AI analysis system trained from Oncotopix Discovery system (Visiopharm). Positive cell percentage were analyzed in 11 samples. Statistical analysis exhibited correlation of CD68+/SPP1+ co-positive cell to the pathology parameter of PCR/non-PCR ( p =0.05), dMMR/pMMR ( p =0.024), with or without mucin pool ( p =0.022) in tumor stromal region based on binary logistic regression. PD-L1 correlated to dMMR/pMMR in tumor parenchyma region. The co-positive marker did not show correlation to treatment ( p =0.069) and necrosis ( p =0.313) groups. There was lower CD68+/SPP1+ cell percentage in tumor stromal region in PCR vs . non-PCR group (0.46% vs. 2.01%, p =0.049) and non-cellular mucin pool group vs. with cellular mucin pool group (0.47% vs. 2.39%, p=0.022). Interestingly, there were more CD68+/SPP1+ cells in pMMR vs. dMMR group (1.94% vs. 0.24%, p =0.027). CD68+/SPP1+ co-positive cell distribution did not exhibit variations among necrosis groups (with vs. without necrosis, p =0.254), different treatment strategies (Chemoradiotherapy + Immunotherapy vs. Immunotherapy, p =0.066) and pathology stages (III vs. IV, p =0.460) in tumor, stromal, and normal region. Besides CD68+/SPP1+ co-positive marker in tumor stromal region, PD-L1 positive cell percentages were higher in tumor parenchyma region of dMMR patient samples compared to pMMR samples (10.09% vs. 1.04%, p =0.024). Current study indicates that CD68+/SPP1+ cell spatial feature correlates to PCR stage, MMR stage and mucin pool conditions of stage III-IV colon cancers. Increased sample number may lead to correlation of the marker to treatment variation which suggests the marker distribution characteristics may be utilized for stage III to IV CRCs patients' health monitoring plans.
利益披露 Disclosure
S. Xu, None.
H. Sun,
Beijing PhenoVision Bio Co., ltd Employment.
S. Han,
Beijing PhenoVision Bio Co., ltd Employment.
L. Zhu,
Beijing PhenoVision Bio Co., ltd Employment.
Y. Wu, None..
Q. Zhang, None..
A. Wu, None.
Z. Zhang,
Beijing PhenoVision Bio Co., ltd Employment.
E. Zhang,
Hangzhou PhenoVision Bio Co., Itd Employment.
N. Li,
Hangzhou PhenoVision Bio Co., Itd Employment.
Beijing PhenoVision Bio Co., ltd Employment.
Z. Li, None.