Spatially variant immune infiltration scoring in human cancer tissues.
Spatially variant immune infiltration scoring in human cancer tissues.
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DOI：
10.1038/s41698-022-00305-4
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发表时间：
2022-09-01
影响因子：
7.9
通讯作者：
Coskun, Ahmet F.
中科院分区：
文献类型：
--
作者：
Allam, Mayar;Hu, Thomas;Lee, Jeongjin;Aldrich, Jeffrey;Badve, Sunil S.;Gokmen-Polar, Yesim;Bhave, Manali;Ramalingam, Suresh S.;Schneider, Frank;Coskun, Ahmet F.
免疫评分是一种量化癌症内免疫细胞浸润以预测疾病预后的方法。以前的免疫分析方法依赖有限的免疫标记物来建立患者的肿瘤免疫力。然而，免疫细胞表现出更高水平的复杂性，通常无法通过传统的免疫组织化学方法获得。在此，我们提出了一种空间变异的免疫浸润评分，称为 SpatialVizScore，以使用多重蛋白质成像数据来量化肺肿瘤样本内的免疫细胞浸润。成像质量细胞术 (IMC) 用于靶向肿瘤中的 26 种标记物，以识别肺癌患者 26 种人体组织内的基质细胞、免疫细胞和癌细胞状态。无监督聚类方法使用 16 种免疫标记物和其他癌症和基质富集标签的高维分析来剖析组织中细胞的空间浸润，以描绘肿瘤免疫浸润模式的变化。不同肿瘤的空间分辨图确定了免疫癌细胞对的空间接近度和邻域。这些 SpatialVizScore 图提供了患者肿瘤的排名，包括免疫发炎、免疫抑制和免疫冷状态，表明肿瘤的免疫连续体分配给三个不同的浸润评分范围。使用几种炎症和抑制性免疫标记物在单细胞和像素水平上建立基于细胞的评分方案，描绘不同肺组织中的细胞光谱。因此，SpatialVizScore是一种新兴的定量方法，可深入研究癌症组织中的肿瘤免疫学。
The Immunoscore is a method to quantify the immune cell infiltration within cancers to predict the disease prognosis. Previous immune profiling approaches relied on limited immune markers to establish patients’ tumor immunity. However, immune cells exhibit a higher-level complexity that is typically not obtained by the conventional immunohistochemistry methods. Herein, we present a spatially variant immune infiltration score, termed as SpatialVizScore, to quantify immune cells infiltration within lung tumor samples using multiplex protein imaging data. Imaging mass cytometry (IMC) was used to target 26 markers in tumors to identify stromal, immune, and cancer cell states within 26 human tissues from lung cancer patients. Unsupervised clustering methods dissected the spatial infiltration of cells in tissue using the high-dimensional analysis of 16 immune markers and other cancer and stroma enriched labels to profile alterations in the tumors’ immune infiltration patterns. Spatially resolved maps of distinct tumors determined the spatial proximity and neighborhoods of immune-cancer cell pairs. These SpatialVizScore maps provided a ranking of patients’ tumors consisting of immune inflamed, immune suppressed, and immune cold states, demonstrating the tumor’s immune continuum assigned to three distinct infiltration score ranges. Several inflammatory and suppressive immune markers were used to establish the cell-based scoring schemes at the single-cell and pixel-level, depicting the cellular spectra in diverse lung tissues. Thus, SpatialVizScore is an emerging quantitative method to deeply study tumor immunology in cancer tissues.
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影响因子：
12.3
作者：
Carpenter AE;Jones TR;Lamprecht MR;Clarke C;Kang IH;Friman O;Guertin DA;Chang JH;Lindquist RA;Moffat J;Golland P;Sabatini DM
通讯作者：
Sabatini DM
影响因子：
7.4
作者：
Galon J;Pagès F;Marincola FM;Angell HK;Thurin M;Lugli A;Zlobec I;Berger A;Bifulco C;Botti G;Tatangelo F;Britten CM;Kreiter S;Chouchane L;Delrio P;Arndt H;Asslaber M;Maio M;Masucci GV;Mihm M;Vidal-Vanaclocha F;Allison JP;Gnjatic S;Hakansson L;Huber C;Singh-Jasuja H;Ottensmeier C;Zwierzina H;Laghi L;Grizzi F;Ohashi PS;Shaw PA;Clarke BA;Wouters BG;Kawakami Y;Hazama S;Okuno K;Wang E;O'Donnell-Tormey J;Lagorce C;Pawelec G;Nishimura MI;Hawkins R;Lapointe R;Lundqvist A;Khleif SN;Ogino S;Gibbs P;Waring P;Sato N;Torigoe T;Itoh K;Patel PS;Shukla SN;Palmqvist R;Nagtegaal ID;Wang Y;D'Arrigo C;Kopetz S;Sinicrope FA;Trinchieri G;Gajewski TF;Ascierto PA;Fox BA
通讯作者：
Fox BA
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
46.9
作者：
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者：
Newell, Evan W.
影响因子：
8.8
作者：
Jenkins RW;Barbie DA;Flaherty KT
通讯作者：
Flaherty KT