Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer

被引:3
作者
Salido-Guadarrama, Ivan [1 ]
Romero-Cordoba, Sandra L. [2 ,3 ]
Rueda-Zarazua, Bertha [4 ]
机构
[1] Inst Nacl Perinatol Isidro Espinosa Reyes, Dept Bioinformat & Anal Estadist, Mexico City 11000, Mexico
[2] Univ Nacl Autonoma Mexico, Dept Med Genom & Tox Ambiental, Inst Invest Biomed, Mexico City 04510, Mexico
[3] Inst Nacl Ciencias Med & Nutr Salvador Zubiran, Biochem Dept, Mexico City 14080, Mexico
[4] Univ Nacl Autonoma Mexico, Ciencias Biol, Fac Med, Mexico City 04510, Mexico
关键词
long non-coding RNAs; cancer; multi-omics; LONG NONCODING RNA; COMPUTATIONAL METHODS; DISEASE ASSOCIATIONS; SOMATIC MUTATIONS; POOR-PROGNOSIS; EXPRESSION; LANDSCAPE; RISK; HETEROGENEITY; PREDICTION;
D O I
10.3390/ijms242316600
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In this review, we provide a general overview of the current panorama of mining strategies for multi-omics data to investigate lncRNAs with an actual or potential role as biological markers in cancer. Several multi-omics studies focusing on lncRNAs have been performed in the past with varying scopes. Nevertheless, many questions remain regarding the pragmatic application of different molecular technologies and bioinformatics algorithms for mining multi-omics data. Here, we attempt to address some of the less discussed aspects of the practical applications using different study designs for incorporating bioinformatics and statistical analyses of multi-omics data. Finally, we discuss the potential improvements and new paradigms aimed at unraveling the role and utility of lncRNAs in cancer and their potential use as molecular markers for cancer diagnosis and outcome prediction.
引用
收藏
页数:33
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