Literature DB >> 28582841

Higher expression of SALL4 predicts poor cancer prognosis: A meta-analysis.

Hongyu Shen1,2,1, Liangpeng Li3,1, Dandan Wang2, Sujin Yang1,2, Xiu Chen1,2, Siying Zhou2,4, Shanliang Zhong5, Jianhua Zhao5, Jinhai Tang1,2,6.   

Abstract

BACKGROUND: Sal-like protein 4 (SALL4) is recognized as a potential biomarker for assessing cancer prognosis. Many experiments have been done to explore the aberrant expression of SALL4 in cancer patients.
OBJECTIVE: To explore the association between SALL4 expression and cancer prognosis.
METHODS: A systematically comprehensive search was performed through PubMed, Web of Science, and CNKI. The prognostic value of SALL4 expression in cancer patients was evaluated by pooled hazard ratios (HRs) and 95% confidence intervals (CIs).
RESULTS: The overexpression of SALL4 was identified to be significantly associated with a poor prognosis in cancer patients (pooled HR: 2.02, 95% CI: 1.67-2.46). This association was also detected in digestive system neoplasms subgroup (pooled HR: 1.91, 95% CI: 1.52-2.39) and reproductive system neoplasms subgroup (pooled HR: 1.95, 95% CI: 1.17-3.26). In the geography subgroup analysis, a statistical association was confirmed in the Chinese subgroup (pooled HR: 1.982, 95% CI: 1.526-2.576). In the respect of disease progression, there was a certain degree of relationship between higher expression of SALL4 and recurrence-free survival (RFS) (pooled HR: 1.617, 95% CI: 1.190-2.196).
CONCLUSION: SALL4 is a promising prognostic biomarker for cancer, and is appropriate for the assessment of cancer prognosis in the Chinese people.

Entities:  

Keywords:  SALL4; biomarker; cancer; meta-analysis; prognosis

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Year:  2017        PMID: 28582841     DOI: 10.3233/CBM-160052

Source DB:  PubMed          Journal:  Cancer Biomark        ISSN: 1574-0153            Impact factor:   4.388


  1 in total

1.  Α-fetoprotein producing hepatoid gastric adenocarcinoma with neuroendocrine differentiation: A case report.

Authors:  Tao Li; Tongjun Liu; Min Wang; Mingwei Zhang
Journal:  Medicine (Baltimore)       Date:  2018-09       Impact factor: 1.817

  1 in total

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