Associations of MALAT1 and its functional single nucleotide polymorphisms with cancer.


Journal

Pathology, research and practice
ISSN: 1618-0631
Titre abrégé: Pathol Res Pract
Pays: Germany
ID NLM: 7806109

Informations de publication

Date de publication:
Aug 2022
Historique:
received: 26 02 2022
revised: 12 06 2022
accepted: 16 06 2022
pubmed: 28 6 2022
medline: 5 8 2022
entrez: 27 6 2022
Statut: ppublish

Résumé

Systematic research on the associations between vital single nucleotide polymorphisms (SNPs) in MALAT1 and cancer risk was still lacking. Thus, we performed this study. The literature searches were until April 1, 2022. The pooled association-analysis results were assessed by odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) in three genetic models. In addition, we explored the potential functions of MALAT1 and its vital SNPs based on several public websites. Eighteen articles about four SNPs (rs619586, rs664589, rs1194338, and rs3200401) involving 11,843 cancer cases and 14,682 controls were collected. Rs619586, rs664589, and rs1194338 were associated with cancer risk (all P-value < 0.05). Each SNP of the three was significantly related to the risk of colorectal cancer (CRC), and rs619586 correlated with hepatocellular carcinoma (HCC) risk (all P-value < 0.05). The three SNPs might affect the transcription factor, promoter, or enhancer functions. MALAT1 expressed significantly higher in CRC and HCC than in normal tissues. The respective area under the receiver operating characteristic curve of MALAT1 for CRC and HCC patients was 0.783 and 0.864. Moreover, survival analysis indicated that MALAT1 might be a potential prognostic marker of CRC and HCC (all relevant P-value < 0.05). The functional SNPs in MALAT1 correlated with cancer risk. MALAT1 and its vital functional SNPs might be potential biomarkers for predicting the risk and prognosis of two types of cancer, especially CRC. Further investigations are needed to confirm our present findings.

Sections du résumé

BACKGROUND BACKGROUND
Systematic research on the associations between vital single nucleotide polymorphisms (SNPs) in MALAT1 and cancer risk was still lacking. Thus, we performed this study.
MATERIALS AND METHODS METHODS
The literature searches were until April 1, 2022. The pooled association-analysis results were assessed by odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) in three genetic models. In addition, we explored the potential functions of MALAT1 and its vital SNPs based on several public websites.
RESULTS RESULTS
Eighteen articles about four SNPs (rs619586, rs664589, rs1194338, and rs3200401) involving 11,843 cancer cases and 14,682 controls were collected. Rs619586, rs664589, and rs1194338 were associated with cancer risk (all P-value < 0.05). Each SNP of the three was significantly related to the risk of colorectal cancer (CRC), and rs619586 correlated with hepatocellular carcinoma (HCC) risk (all P-value < 0.05). The three SNPs might affect the transcription factor, promoter, or enhancer functions. MALAT1 expressed significantly higher in CRC and HCC than in normal tissues. The respective area under the receiver operating characteristic curve of MALAT1 for CRC and HCC patients was 0.783 and 0.864. Moreover, survival analysis indicated that MALAT1 might be a potential prognostic marker of CRC and HCC (all relevant P-value < 0.05).
CONCLUSIONS CONCLUSIONS
The functional SNPs in MALAT1 correlated with cancer risk. MALAT1 and its vital functional SNPs might be potential biomarkers for predicting the risk and prognosis of two types of cancer, especially CRC. Further investigations are needed to confirm our present findings.

Identifiants

pubmed: 35759938
pii: S0344-0338(22)00232-1
doi: 10.1016/j.prp.2022.153988
pii:
doi:

Substances chimiques

MALAT1 long non-coding RNA, human 0
RNA, Long Noncoding 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

153988

Informations de copyright

Copyright © 2022 Elsevier GmbH. All rights reserved.

Auteurs

Lina Cao (L)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China.

Guodong Yan (G)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China.

Shumin Yu (S)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China.

Fuju Li (F)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China.

Zhixia Su (Z)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China.

Xiaoyan Hou (X)

Center for Disease Control and Prevention of Nantong, Nantong, Jiangsu, China. Electronic address: hxy_yes@163.com.

Jing Xiao (J)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China. Electronic address: jxiaont@ntu.edu.cn.

Tian Tian (T)

Department of Epidemiology and Medical Statistics, School of Public Health, Nantong University, Nantong, China. Electronic address: ttyes001@ntu.edu.cn.

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Classifications MeSH