Evidence map›Paper›PMID 36553667›Full record

ArticleGenes2022

Revealing the Potential Markers of N(4)-Acetylcytidine through acRIP-seq in Triple-Negative Breast Cancer.

Xingda Zhang, Jiaqi Zeng, Jianyu Wang, Zihan Yang, Song Gao, Honghao Liu, Guozheng Li, Xin Zhang, Yue Gu, Da Pang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Xingda ZhangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Jiaqi ZengSchool of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
Jianyu WangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Zihan YangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Song GaoDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Honghao LiuSchool of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
Guozheng LiDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Xin ZhangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Yue GuSchool of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150001, China.
Da PangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital,150 Haping Road, Harbin 150081, China.
Harbin Medical University · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the causes of tumorigenesis and progression in triple-receptor negative breast cancer (TNBC) can help the design of novel and personalized therapies and prognostic assessments. Abnormal RNA modification is a recently discovered process in TNBC development. TNBC samples from The Cancer Genome Atlas database were categorized according to the expression level of NAT10, which drives acetylation of cytidine in RNA to N(4)-acetylcytidine (ac4C) and affects mRNA stability. A total of 703 differentially expressed long non-coding RNAs (lncRNAs) were found between high- and low-expressed NAT10 groups in TNBC. Twenty of these lncRNAs were significantly associated with prognosis. Two breast cancer tissues and their paired normal tissues were sequenced at the whole genome level using acetylated RNA immunoprecipitation sequencing (acRIP-seq) technology to identify acetylation features in TNBC, and 180 genes were significantly differentially ac4c acetylated in patients. We also analyzed the genome-wide lncRNA expression profile and constructed a co-expression network, containing 116 ac4C genes and 1080 lncRNAs. Three of these lncRNAs were prognostic risk lncRNAs affected by NAT10 and contained in the network. The corresponding reciprocal pairs were "LINC01614-COL3A1", "OIP5-AS1-USP8", and "RP5-908M14.9-TRIR". These results indicate that RNA ac4c acetylation involves lncRNAs and affects the tumor process and prognosis of TNBC. This will aid the prediction of drug targets and drug sensitivity.

Indexed as

RNA, Long NoncodingTriple Negative Breast NeoplasmsCytidineHumansPrognosisCytidineN-acetylcytidineRNA, Long NoncodingacRIP-seqdrug target predictionN(4)-acetylcytidine (ac4C)prognostic risk markerTNBC

Identifiers

PMID36553667
PMCPMC9777589
OpenAlexW4312196638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.