Up-regulated PIF1 predicts poor clinical outcomes and correlates with low immune infiltrates in clear cell renal cell carcinoma

Tong Cai; Ning Wang; Peng Meng; Weigui Sun; Yuanshan Cui

doi:10.3389/fgene.2022.1058040

Frontiers in Genetics (Jan 2023)

Up-regulated PIF1 predicts poor clinical outcomes and correlates with low immune infiltrates in clear cell renal cell carcinoma

Tong Cai,
Ning Wang,
Peng Meng,
Weigui Sun,
Yuanshan Cui

Affiliations

Tong Cai: Department of Urology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China
Ning Wang: Department of Urology, The Affiliated YantaiYuhuangding Hospital of Qingdao University, Yantai, Shandong, China
Peng Meng: Department of Oncology, Yantai Traditional Chinese Medicine Hospital, Yantai, Shandong, China
Weigui Sun: Department of Urology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China
Yuanshan Cui: Department of Urology, The Affiliated YantaiYuhuangding Hospital of Qingdao University, Yantai, Shandong, China

DOI: https://doi.org/10.3389/fgene.2022.1058040
Journal volume & issue: Vol. 13

Abstract

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Background: Petite Integration Factor 1 (PIF1) is a multifunctional helicase and DNA processing enzyme that plays an important role in the process of several cancer types. However, the relationship between clear cell renal cell carcinoma (ccRCC) and PIF1 remains unclear. This study aims to explore the role of PIF1 in ccRCC tumorigenesis and prognosis.Methods: Based on The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, we retrieved and verified the expression of PIF1 in ccRCC tissues as well as normal tissues. To assess the protein expression of PIF1 by using the Human Protein Atlas and the Clinical Proteomic Tumor Analysis Consortium (CPTAC). We also performed receiver operating characteristic (ROC) curve analysis to differentiate the effectiveness of PIF1 in ccRCC and adjacent normal tissues. To evaluate the value of PIF1 on clinical outcomes in ccRCC patients by using multivariate methods and Kaplan‒Meier survival curves. Protein‒protein interaction (PPI) networks were made with STRING. We determined the relationship between the expression of PIF1 and immune cell infiltration with single-sample gene set enrichment analysis (ssGSEA).Results: Compared with normal tissues, the expression of PIF1 was significantly elevated in ccRCC. The mRNA expression of PIF1 is correlated with high TNM stage and high pathologic stage. The receiver operating characteristic (ROC) curve analysis showed that PIF1 was related to an area under the curve (AUC) value of 0.928 to distinguish between ccRCC tissues and normal tissues. Kaplan‒Meier survival analysis showed that the overall survival (OS) of ccRCC patients with a high level of PIF1 was significantly shorter than that of those with a low level of PIF1. PIF1 may play an important role in the occurrence of tumors. Correlation analysis showed that PIF1-mediated carcinogenesis may participate in the process of tumor immune escape in ccRCC.Conclusion: PIF1 could be a reference biomarker to identify ccRCC patients with poor prognosis. PIF1 may play a distinct role in the microenvironment of ccRCC by regulating tumor infiltration of immune cells, which is a new therapeutic target to affect the growth of the tumor.

Published in Frontiers in Genetics

ISSN: 1664-8021 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Science: Biology (General): Genetics
Website: http://journal.frontiersin.org/journal/genetics

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