ORIGINAL RESEARCH article
Front. Cell. Infect. Microbiol.
Sec. Clinical Infectious Diseases
This article is part of the Research TopicCancer Biomarkers: Molecular Insights into Diagnosis, Prognosis, and Risk Prediction: Volume IIView all 3 articles
Relationship between LILRB2 and APE1 levels and pathological characteristics in colorectal cancer patients and their predictive value for prognosis
Provisionally accepted
- 1Longyou County People’s Hospital, Quzhou, China
- 2Tongxiang First People’s Hospital, Jiaxing, China
- 3Other
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Objective: This study aimed to investigate the relationship between the expression levels of Leukocyte Immunoglobulin-Like Receptor Subfamily B2 (LILRB2) and Apurinic/Apyrimidinic Endonuclease 1 (APE1) and the pathological characteristics in colorectal cancer (CRC) patients, as well as their predictive value for prognosis. Methods: Serum levels of LILRB2 and APE1 were analyzed in CRC patients with varying pathological characteristics. The associations between LILRB2 and APE1 serum levels and patient prognosis was evaluated, and factors influencing prognosis were identified. Results: Patients with high LILRB2 expression exhibited a significantly lower survival rate than those with low expression, and the same trend was observed for APE1 expression (both P < 0.001). Univariate Cox analysis revealed that expression levels of LILRB2 and APE1, TNM stage, and lymph node metastasis (LNM) were associated with CRC prognosis. Multivariate Cox analysis demonstrated that high expression levels of LILRB2 and APE1, advanced TNM stage, and the presence of LNM were independent risk factors impacting CRC prognosis (P < 0.05). Conclusion: Abnormal expression levels of LILRB2 and APE1 are associated with age, tumor diameter, TNM stage, and LNM in CRC patients. Elevated expression of these markers predicts a poorer prognosis.
Keywords: colorectal cancer, Leukocyte Immunoglobulin-Like Receptor Subfamily B2 (LILRB2), Apurinic/apyrimidinic endonuclease 1 (APE1), Pathological characteristics, prognosis, Cox regression analysis
Received: 18 May 2025; Accepted: 24 Oct 2025.
Copyright: © 2025 Li, Tang, Wu and Tu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ji Li, liji7162@163.com
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