The prediction value of LOXL-2 in the clinical pathology and prognosis of cancers: A meta-analysis and bioinformatics analysis

Lysyl oxidase-like 2 (LOXL2) is a key enzyme involved in extracellular matrix remodeling, and its high expression is associated with cancer progression. This study aims to assess the relationship between LOXL2 expression and clinical prognosis in cancer patients through meta-analysis and bioinformatics. A comprehensive literature search was conducted in PubMed, Cochrane Library, Web of Science, and Embase databases until December 2023. Studies reporting the relationship between LOXL2 expression and overall survival (OS) or disease-free survival (DFS) were included. Hazard ratios (HR) and odds ratios (OR) with 95% confidence intervals (CIs) were calculated. Subgroup analyses and meta-regression were performed to evaluate sources of heterogeneity. A total of 30 studies with 5021 patients were included. High LOXL2 expression was significantly associated with poor OS (HR = 1.92, 95% CI: 1.65-2.23, P < 0.001) and DFS (HR = 1.81, 95% CI: 1.39-2.36, P < 0.001). LOXL2 expression correlated with several clinicopathological features, including tumor size (OR = 1.53, P = 0.006), lymph node metastasis (OR = 1.71, P = 0.016), and distant metastasis (OR = 2.63, P < 0.001). Sensitivity analysis confirmed the robustness of these results. High LOXL2 expression is a reliable prognostic biomarker for various cancers, correlating with poor survival outcomes and advanced clinical features. LOXL2 may serve as a therapeutic target to improve cancer prognosis and treatment.

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Journal
Scientific Reports
Published
2025-12-07
DOI
https://doi.org/10.1038/s41598-025-30923-4
Primary Topic
Microbial metabolism and enzyme function
Type
article
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article

The prediction value of LOXL-2 in the clinical pathology and prognosis of cancers: A meta-analysis and bioinformatics analysis

Ran Yan, Shenghong Yang, Yuan Pan, Qin Zhang
Scientific Reports
Microbial metabolism and enzyme function
article

The prediction value of LOXL-2 in the clinical pathology and prognosis of cancers: A meta-analysis and bioinformatics analysis

Ran Yan, Shenghong Yang, Yuan Pan, Qin Zhang
article en

Abstract

Lysyl oxidase-like 2 (LOXL2) is a key enzyme involved in extracellular matrix remodeling, and its high expression is associated with cancer progression. This study aims to assess the relationship between LOXL2 expression and clinical prognosis in cancer patients through meta-analysis and bioinformatics. A comprehensive literature search was conducted in PubMed, Cochrane Library, Web of Science, and Embase databases until December 2023. Studies reporting the relationship between LOXL2 expression and overall survival (OS) or disease-free survival (DFS) were included. Hazard ratios (HR) and odds ratios (OR) with 95% confidence intervals (CIs) were calculated. Subgroup analyses and meta-regression were performed to evaluate sources of heterogeneity. A total of 30 studies with 5021 patients were included. High LOXL2 expression was significantly associated with poor OS (HR = 1.92, 95% CI: 1.65-2.23, P < 0.001) and DFS (HR = 1.81, 95% CI: 1.39-2.36, P < 0.001). LOXL2 expression correlated with several clinicopathological features, including tumor size (OR = 1.53, P = 0.006), lymph node metastasis (OR = 1.71, P = 0.016), and distant metastasis (OR = 2.63, P < 0.001). Sensitivity analysis confirmed the robustness of these results. High LOXL2 expression is a reliable prognostic biomarker for various cancers, correlating with poor survival outcomes and advanced clinical features. LOXL2 may serve as a therapeutic target to improve cancer prognosis and treatment.

Scientific ReportsVol. 16(1)
Chongqing Jiulongpo People's Hospital (CN), First People's Hospital of Chongqing (CN)
Openalex Percentile: Top 65%
Microbial metabolism and enzyme function
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The prediction value of LOXL-2 in the clinical pathology and prognosis of cancers: A meta-analysis and bioinformatics analysis — Ran Yan, Shenghong Yang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS