Considerations before the application of 5-hydroxymethylation levels of long non-coding RNAs for non-invasive cancer diagnosis

Zhou Zhang , Chang Zeng , Wei Zhang

Extracellular Vesicles and Circulating Nucleic Acids ›› 2022, Vol. 3 ›› Issue (1) : 10 -3.

PDF
Extracellular Vesicles and Circulating Nucleic Acids ›› 2022, Vol. 3 ›› Issue (1) :10 -3. DOI: 10.20517/evcna.2021.22
Commentary

Considerations before the application of 5-hydroxymethylation levels of long non-coding RNAs for non-invasive cancer diagnosis

Author information +
History +
PDF

Abstract

Previous studies have suggested that aberrant 5-hydroxymethylcytosines (5hmC) modifications are related to cancer pathobiology. Genome-wide profiling 5hmC in circulating cell-free DNA (cfDNA) using the highly sensitive chemical labeling-based 5hmC-Seal technique has been demonstrated to have the potential to be a robust epigenomic tool for cancer biomarker discovery. Prior studies have mostly focused on cfDNA-derived 5hmC-Seal data summarized in well-annotated genic features (e.g., gene bodies) or unbiased bins. Zhou et al. recently proposed long non-coding RNAs (lncRNAs) as an alternative molecular target for biomarker discovery using publicly available 5hmC-Seal data. Considering its potential clinical impact, we would like to comment on Zhou et al. and advocate more serious consideration of critical issues such as the availability of clinical information and technical variables, especially when performing secondary analysis using publicly available data, with the aim of improving data transparency and translatability.

Keywords

5-Hydroxymethylcytosine / long non-coding RNA / cell-free DNA / cancer biomarker

Cite this article

Download citation ▾
Zhou Zhang, Chang Zeng, Wei Zhang. Considerations before the application of 5-hydroxymethylation levels of long non-coding RNAs for non-invasive cancer diagnosis. Extracellular Vesicles and Circulating Nucleic Acids, 2022, 3(1): 10-3 DOI:10.20517/evcna.2021.22

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Branco MR,Reik W.Uncovering the role of 5-hydroxymethylcytosine in the epigenome.Nat Rev Genet2011;13:7-13

[2]

Song CX,Fu Y.Selective chemical labeling reveals the genome-wide distribution of 5-hydroxymethylcytosine.Nat Biotechnol2011;29:68-72 PMCID:PMC3107705

[3]

Cai J,Hua W.An integrative analysis of genome-wide 5-hydroxymethylcytosines in circulating cell-free DNA detects noninvasive diagnostic markers for gliomas.Neurooncol Adv2021;3:vdab049 PMCID:PMC8209591

[4]

Chiu BC,You Q.Prognostic implications of 5-hydroxymethylcytosines from circulating cell-free DNA in diffuse large B-cell lymphoma.Blood Adv2019;3:2790-9 PMCID:PMC6784517

[5]

Cai J,Zhang Z.Genome-wide mapping of 5-hydroxymethylcytosines in circulating cell-free DNA as a non-invasive approach for early detection of hepatocellular carcinoma.Gut2019;68:2195-205 PMCID:PMC6872444

[6]

Li W,Lu X.5-Hydroxymethylcytosine signatures in circulating cell-free DNA as diagnostic biomarkers for human cancers.Cell Res2017;27:1243-57 PMCID:PMC5630683

[7]

Uszczynska-Ratajczak B,Frankish A,Johnson R.Towards a complete map of the human long non-coding RNA transcriptome.Nat Rev Genet2018;19:535-48 PMCID:PMC6451964

[8]

Kiang KM,Leung GK.Long non-coding RNAs: the key players in glioma pathogenesis.Cancers (Basel)2015;7:1406-24 PMCID:PMC4586776

[9]

Hu H,He L.Epigenomic landscape of 5-hydroxymethylcytosine reveals its transcriptional regulation of lncRNAs in colorectal cancer.Br J Cancer2017;116:658-68 PMCID:PMC5344292

[10]

Zhou M,Yan C.Cell-free DNA 5-hydroxymethylcytosine profiles of long non-coding RNA genes enable early detection and progression monitoring of human cancers.Clin Epigenetics2021;13:197 PMCID:PMC8543867

[11]

DeLong ER,Clarke-Pearson DL.Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.Biometrics1988;44:837-45

[12]

Cao H,Kapranov P.Strategies to annotate and characterize long noncoding RNAs: advantages and pitfalls.Trends Genet2018;34:704-21

[13]

Aken BL,Barrell D.The Ensembl gene annotation system.Database (Oxford)2016;2016:baw093 PMCID:PMC4919035

AI Summary AI Mindmap
PDF

40

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/