Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients

被引:32
作者
Bruck, Oscar [1 ,2 ,3 ,4 ,5 ]
Lee, Moon Hee [1 ,2 ,3 ,4 ]
Turkki, Riku [6 ]
Uski, Ilona [1 ,2 ,3 ,4 ]
Penttila, Patrick [7 ,8 ]
Paavolainen, Lassi [6 ]
Kovanen, Panu [8 ,9 ]
Jarvinen, Petrus [7 ,8 ]
Bono, Petri [8 ,10 ]
Pellinen, Teijo [6 ]
Mustjoki, Satu [1 ,2 ,3 ,4 ,11 ]
Kreutzman, Anna [1 ,2 ,3 ,4 ]
机构
[1] Univ Helsinki, Translat Immunol Res Program, Helsinki, Finland
[2] iCAN Digital Precis Canc Med Flagship, Helsinki, Finland
[3] Univ Helsinki, Hematol Res Unit Helsinki, Helsinki, Finland
[4] Helsinki Univ Hosp, Ctr Comprehens Canc, Helsinki, Finland
[5] Helsinki Univ Hosp, Dept Hematol, Ctr Comprehens Canc, Helsinki, Finland
[6] Univ Helsinki, Inst Mol Med Finland, HiLIFE, Helsinki, Finland
[7] Helsinki Univ Hosp, Abdominal Ctr, Urol, Helsinki, Finland
[8] Univ Helsinki, Helsinki, Finland
[9] Helsinki Univ Hosp, Dept Pathol, Helsinki, Finland
[10] Helsinki Univ Hosp, Comprehens Canc Ctr, Helsinki, Finland
[11] Univ Helsinki, Dept Clin Chem & Hematol, Helsinki, Finland
基金
芬兰科学院;
关键词
UP-REGULATION; EXPRESSION; BLOCKADE;
D O I
10.1038/s41379-021-00864-0
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
While the abundance and phenotype of tumor-infiltrating lymphocytes are linked with clinical survival, their spatial coordination and its clinical significance remain unclear. Here, we investigated the immune profile of intratumoral and peritumoral tissue of clear cell renal cell carcinoma patients (n = 64). We trained a cell classifier to detect lymphocytes from hematoxylin and eosin stained tissue slides. Using unsupervised classification, patients were further classified into immune cold, hot and excluded topographies reflecting lymphocyte abundance and localization. The immune topography distribution was further validated with The Cancer Genome Atlas digital image dataset. We showed association between PBRM1 mutation and immune cold topography, STAG1 mutation and immune hot topography and BAP1 mutation and immune excluded topography. With quantitative multiplex immunohistochemistry we analyzed the expression of 23 lymphocyte markers in intratumoral and peritumoral tissue regions. To study spatial interactions, we developed an algorithm quantifying the proportion of adjacent immune cell pairs and their immunophenotypes. Immune excluded tumors were associated with superior overall survival (HR 0.19, p = 0.02) and less extensive metastasis. Intratumoral T cells were characterized with pronounced expression of immunological activation and exhaustion markers such as granzyme B, PD1, and LAG3. Immune cell interaction occurred most frequently in the intratumoral region and correlated with CD45RO expression. Moreover, high proportion of peritumoral CD45RO+ T cells predicted poor overall survival. In summary, intratumoral and peritumoral tissue regions represent distinct immunospatial profiles and are associated with clinicopathologic characteristics.
引用
收藏
页码:2229 / 2241
页数:13
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