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Clinicopathological and Prognostic Significance of ABCC3 in Human Glioma.

ABSTRACT: Glioma is the most common malignant primary brain tumor with an inferior survival period and unsatisfactory prognoses. Identification of novel biomarkers is important for the improvements of clinical outcomes of glioma patients. In recent years, more and more biomarkers were identified in many types of tumors. However, the sensitive markers for diagnoses and prognoses of patients with glioma remained unknown. In the present research, our team intended to explore the expression and clinical significance of ABCC3 in glioma patients. Sequential data filtration (survival analyses, independent prognosis analyses, ROC curve analyses, and clinical association analyses) was completed, which gave rise to the determination of the relationship between glioma and the ABCC3 gene. Clinical assays on the foundation of CGGA and TCGA datasets unveiled that ABCC3 expression was distinctly upregulated in glioma and predicted a shorter overall survival. In the multivariable Cox analysis, our team discovered that the expression of ABCC3 was an independent prognosis marker for both 5-year OS (HR = 1.118, 95% CI: 1.052-1.188; P < 0.001). Moreover, our team also studied the association between ABCC3 expression and clinical features of glioma patients, finding that differential expression of ABCC3 was remarkably related to age, 1p19q codeletion, PRS type, chemo status, grade, IDH mutation state, and histology. Overall, our findings suggested ABCC3 might be a novel prognosis marker in glioma.

SUBMITTER: Fang DD

PROVIDER: S-EPMC8718316 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe aberrant regulation of MALAT1 has been indicated to be involved in various carcinogenic pathways contributing to the tumourigenesis and progression of cancers. The current meta-analysis summarized the research advances of MALAT1 functions and analyzed its prognostic value among multiple types of cancers.MethodsEligible studies were identified through retrieving the PubMed, Web of Science, and CNKI databases, up to Mar 1, 2018. 28 studies of 5436 patients and 36 studies of 3325 patients were enrolled in the meta-analysis to evaluate the association of MALAT1 expression with survival outcomes and clinical parameters.ResultsThe results demonstrated that over-expression of MALAT1 may predict lymph node metastasis (pooled OR = 2.335, 95% CI 1.606-3.395, P = 0.000) and distant metastasis (pooled OR = 2.456, 95% CI 1.407-4.286, P = 0.002). Moreover, MALAT1 was also related with tumour size (pooled OR = 1.875, 95% CI 1.257-2.795, P = 0.002) and TNM stage (pooled OR = 2.034, 95% CI 1.111-3.724, P = 0.021). Additionally, elevated MALAT1 expression could predict poor OS (pooled HR = 2.298, 95% CI 1.953-2.704, P = 0.000), DFS (pooled HR = 2.036, 95% CI 1.240-3.342, P = 0.005), RFS (pooled HR = 2.491, 95% CI 1.505-4.123, P = 0.000), DSS (pooled HR = 2.098, 95% CI 1.372-3.211, P = 0.001) and PFS (pooled HR = 1.842, 95% CI 1.138-2.983, P = 0.013) in multivariate model. Importantly, subgroup analyses disclosed that increased MALAT1 expression had a poor OS among different cancer types (Estrogen-dependent cancer: pooled HR = 2.656, 95% CI 1.560-4.523; urological cancer: pooled HR = 1.952, 95% CI 1.189-3.204; glioma: pooled HR = 2.315, 95% CI 1.643-3.263; digestive cancer: pooled HR = 2.451, 95% CI 1.862-3.227).ConclusionsThe present findings demonstrated that MALAT1 may be a novel biomarker for predicting survival outcome, lymph node metastasis and distant metastasis.

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Clinicopathological and Prognostic Significance of ABCC3 in Human Glioma.

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