Histologic-Based Tumor-Associated Immune Cells Status in Clear Cell Renal Cell Carcinoma Correlates with Gene Signatures Related to Cancer Immunity and Clinical Outcomes

Biomedicines

Yoshiki Yasukochi¹  Koichiro Higasa¹  Ryosuke Yamaka²  Naho Atsumi²  Koji Tsuta²  Chisato Ohe²  Junichi Ikeda²  Toyonori Tsuzuki³  Ryoichi Saito⁴  Haruyuki Ohsugi⁴  Hidefumi Kinoshita⁴  Takashi Yoshida⁴  Riuko Ohashi⁵ 

[1] Department of Genome Analysis, Institute of Biomedical Science, Kansai Medical University, Hirakata 573-1191, Japan;Department of Pathology, Kansai Medical University, Hirakata 573-1191, Japan;Department of Surgical Pathology, Aichi Medical University Hospital, Nagakute 480-1195, Japan;Department of Urology and Andrology, Kansai Medical University, Hirakata 573-1191, Japan;Histopathology Core Facility, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan;

关键词: clear cell renal cell carcinoma;    immunophenotype;    immunohistochemistry;    gene expression signatures;    cancer immunity;    clinical outcome;   

DOI  :  10.3390/biomedicines10020323

来源: DOAJ

【 摘 要 】

The three-tier immunophenotype (desert, excluded, and inflamed) and the four-tier immunophenotype (cold, immunosuppressed, excluded, and hot) have been linked to prognosis and immunotherapy response. This study aims to evaluate whether immunophenotypes of clear cell renal cell carcinoma, identified on hematoxylin and eosin-stained slides, correlate with gene expression signatures related to cancer immunity, and clinical outcomes. We evaluated tumor-associated immune cells (TAICs) status using three methodologies: three-tier immunophenotype based on the location of TAICs, four-tier immunophenotype considering both the location and degree of TAICs and inflammation score focusing only on the degree of TAICs, using a localized clear cell renal cell carcinoma cohort (n = 436) and The Cancer Genome Atlas (TCGA)-KIRC cohort (n = 162). We evaluated the association of the TAICs status assessed by three methodologies with CD8 and PD-L1 immunohistochemistry and immune gene expression signatures by TCGA RNA-sequencing data. All three methodologies correlated with immunohistochemical and immune gene expression signatures. The inflammation score and the four-tier immunophenotype showed similarly higher accuracy in predicting recurrence-free survival and overall survival compared to the three-tier immunophenotype. In conclusion, a simple histologic assessment of TIACs may predict clinical outcomes and immunotherapy responses.

【 授权许可】

Unknown