High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma

Han, Rui; Guan, Youhong; Tang, Min; Li, Min; Zhang, Binbin; Fei, Guanghe; Zhou, Sijing; Wang, Ran

doi:10.7150/jca.88635



International Journal of Biological Sciences

International Journal of Medical Sciences

Theranostics

Journal of Genomics

Nanotheranostics

Global reach, higher impact

Full Text | PDF

J Cancer 2023; 14(17):3321-3334. doi:10.7150/jca.88635 This issue Cite

Research Paper

High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma

Rui Han^1*, Youhong Guan^2*, Min Tang¹, Min Li³, Binbin Zhang¹, Guanghe Fei^1✉, Sijing Zhou^4✉, Ran Wang^1✉

1. Department of respiratory and critical care medicine, the first affiliated hospital of Anhui medical university, Hefei 230022, China.
2. Department of infectious disease, Hefei second people's hospital, Hefei 230001, China.
3. Department of oncology, the first affiliated hospital of Anhui medical university, Hefei 230022, China.
4. Department of Occupational Disease, Hefei third clinical college of Anhui Medical University, Hefei 230022, China.
* These authors contributed equally to this work.

✉ Corresponding authors: Guanghe Fei Ph.D., Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China. Phone: 86-551-62922913, Fax: 86-551-62922913, E-mail: guanghefei More

Citation:

Han R, Guan Y, Tang M, Li M, Zhang B, Fei G, Zhou S, Wang R. High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma. J Cancer 2023; 14(17):3321-3334. doi:10.7150/jca.88635. https://www.jcancer.org/v14p3321.htm

Other styles

Abstract

Background: The incidence of lung cancer is increasing annually, but the mechanism of its occurrence and development requires further study. This study aimed to investigate the biological function and prognostic value of proline- and serine-rich coiled-coil 1 (PSRC1) in lung cancer.

Methods: We used data from The Cancer Genome Atlas (TCGA) to analyze the association between clinical features and PSRC1 expression in non-small cell carcinoma. The relationship between PSRC1 expression and prognosis in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) was analyzed using Kaplan-Meier curves. The function of PSRC1 was identified using enrichment analysis, and the relationship between PSRC1 expression and immune cell infiltration was studied. In addition, the expression of PSRC1 in 150 patients with non-small cell carcinoma was detected using immunohistochemistry, and its clinical significance was analyzed.

Results: It was found that the expression level of PSRC1 was higher in LUAD and LUSC tumor tissues than in normal tissues, and the results were confirmed by immunohistochemistry in 150 patients. TCGA data showed that high PSRC1 expression in LUAD was associated with poorer overall survival (p = 0.003) and progression-free interval (p = 0.012). Multivariable analysis showed that PSRC1 was an independent risk factor for LUAD. Functional enrichment analysis showed that PSRC1 is related to tumor development.

Conclusion: High PSRC1 expression is significantly associated with LUAD survival and may be a promising prognostic biomarker.

Keywords: PSRC1, lung adenocarcinoma, prognosis, immunohistochemistry, bioinformatics

Citation styles

APA

Han, R., Guan, Y., Tang, M., Li, M., Zhang, B., Fei, G., Zhou, S., Wang, R. (2023). High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma. Journal of Cancer, 14(17), 3321-3334. https://doi.org/10.7150/jca.88635.

ACS

Han, R.; Guan, Y.; Tang, M.; Li, M.; Zhang, B.; Fei, G.; Zhou, S.; Wang, R. High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma. J. Cancer 2023, 14 (17), 3321-3334. DOI: 10.7150/jca.88635.

NLM

CSE

Han R, Guan Y, Tang M, Li M, Zhang B, Fei G, Zhou S, Wang R. 2023. High Expression of PSRC1 Predicts Poor Prognosis in Lung Adenocarcinoma. J Cancer. 14(17):3321-3334.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.