Examining the spatial distribution of tumor-infiltrating immune cells in patients with stage I to IIIA LUAD

Author:

Du Weijiao1234,Yang Fan1234,Hui Zhenzhen1234,Zhang Jiali1234,Shen Meng1234,Ren Xiubao123456,Wei Feng12356ORCID

Affiliation:

1. Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer , Huanhuxi Road, Hexi District, Tianjin 300060 , China

2. Tianjin's Clinical Research Center for Cancer , Huanhuxi Road, Hexi District, Tianjin 300060 , China

3. Key Laboratory of Cancer Immunology and Biotherapy , Huanhuxi Road, Hexi District, Tianjin 300060 , China

4. Department of Biotherapy, Tianjin Medical University Cancer Institute and Hospital , Huanhuxi Road, Hexi District, Tianjin 300060 , China

5. Department of Immunology, Tianjin Medical University Cancer Institute and Hospital , Huanhuxi Road, Hexi District, Tianjin 300060 , China

6. Haihe Laboratory of Cell Ecosystem , Tianjin 300060 , China

Abstract

Abstract This study aimed to examine the spatial distribution of immune cells by application of Gcross function in 170 patients with stage I to IIIA lung adenocarcinoma (LUAD) and explore its prognostic value. A total of 170 stage I to IIIA LUAD patients who underwent radical surgery were enrolled. Paraffinized tumor sections were collected for 2 panels of multicolor immunofluorescence staining (panel 1: CD4, CD8, FOXP3, CD69, CD39, CD73, and DAPI; panel 2: CD68, CD163, CD20, CD11c, PDL1, IDO, and DAPI). The immune cells were categorized as CD8+, CD4+ T helper cell (CD4Th), regulatory T cell, macrophage type 1 (M1), M2, dendritic cell (DC), and B cell. The immune cell numbers were enumerated, and the immune cell proximity score was calculated employing the Gcross function. The correlation between immune cell variables and disease-free survival (DFS) was explored through univariate Cox regression analyses. Factors with P < 0.05 were subjected to multivariate analyses. According to univariate Cox regression analyses, total PDL1+ and PDL1+ DC counts were negative factors (P = 0.003 and 0.031, respectively). CD4Th and IDO−DC counts were positive factors (P = 0.022 and 0.024, respectively). The proximity score (M1 to M2) was a positive factor for DFS (P = 0.032), and the proximity score (PDL1 + DC to M1) was a negative factor (P = 0.009) according to univariate Cox analyses. In multivariate analyses, stage (IIIA vs I + II) (hazard ratio [HR]: 1.77 [95% confidence interval (CI): 1.18–2.64], P = 0.006) and proximity score (PDL1 + DC to M1) (HR: 1.60 [95% CI: 1.07–2.37], P = 0.021) were independent negative factors and CD4Th counts (HR: 0.60 [95% CI: 0.40–0.90], P = 0.013) was an independent positive factor. Our study indicated that a higher level of tumor-infiltrating CD4Th cells predicted longer DFS, and a closer proximity of PDL1+ DCs to M1 cells was associated with dismal DFS in stage I to IIIA LUAD patients.

Funder

National Natural Science Foundation of China

Haihe Laboratory of Cell Ecosystem Innovation Fund

Tianjin Natural Science Foundation

Tianjin Key Medical Discipline (Specialty) Construction Project

Publisher

Oxford University Press (OUP)

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