Evidence map›Paper›PMID 29901168›Full record

ArticleMolecular medicine reports2018

A three‑lncRNA signature for prognosis prediction of acute myeloid leukemia in patients.

Fangce Wang, Xiaoxue Tian, Jie Zhou, Guangming Wang, Wenlei Yu, Zheng Li, Zhuoyi Fan, Wenjun Zhang, Aibin Liang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 28 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

9 authors at 2 institutions in 1 country.

Fangce WangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Xiaoxue TianDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Jie ZhouDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Guangming WangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Wenlei YuDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Zheng LiDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Zhuoyi FanDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Wenjun ZhangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Aibin LiangDepartment of Hematology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200092, P.R. China.
Tongji Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) are transcripts characterized by >200 nucleotides, without validated protein production. Previous studies have demonstrated that certain lncRNAs have a critical role in the initiation and development of acute myeloid leukemia (AML). In the present study, the subtype‑specific lncRNAs in AML was identified. Following the exclusion of the subtype‑specific lncRNAs, the prognostic value of lncRNAs was investigated and a three‑lncRNA expression‑based risk score [long intergenic non‑protein coding RNA 926, family with sequence similarity 30 member A and LRRC75A antisense RNA 1 (LRRC75A‑AS1)] was developed for AML patient prognosis prediction by analyzing the RNA‑seq data of AML patients from Therapeutically Available Research to Generate Effective Treatments (TARGET) and The Cancer Genome Atlas (TCGA) projects. In the training set obtained from TARGET, patients were divided into poor and favorable prognosis groups by the median risk score. The prognostic effectiveness of this lncRNA risk score was confirmed in the validation set obtained from TCGA by the same cut‑off. Furthermore, the lncRNA risk score was identified as an independent prognostic factor in the multivariate analysis. As further verification of the independent prognostic power of the lncRNA risk score, stratified analysis was performed by a cytogenetics risk group and revealed a consistent result. The prognostic predictive ability of the risk score was compared with the cytogenetics risk group by time‑dependent receiver operating characteristic curves analysis. It was revealed that the combination of the lncRNA risk score and cytogenetics risk group provided a higher prognostic value than a single prognostic factor. The present study also performed co‑expression analysis to predict the potential regulatory mechanisms of these lncRNAs in a cis/trans/competing endogenous RNA manner. The results suggested that LRRC75A‑AS1 was highly associated with the target genes of transcription factors tumor protein 53 and ETS variant 6. Overall, these results highlighted the use of the three‑lncRNA expression‑based risk score as a potential molecular biomarker to predict the prognosis in AML patients.

Indexed as

Gene Expression Regulation, NeoplasticAtlases as TopicBiomarkers, TumorETS Translocation Variant 6 ProteinFemaleHumansKaryotypingLeukemia, Myeloid, AcuteMaleMultivariate AnalysisPrognosisProto-Oncogene Proteins c-etsRepressor ProteinsRiskRNA, AntisenseRNA, Long NoncodingBiomarkers, TumorETS Translocation Variant 6 ProteinProto-Oncogene Proteins c-etsRepressor ProteinsRNA, AntisenseRNA, Long NoncodingTumor Suppressor Protein p53

Identifiers

PMID29901168
PMCPMC6072220
OpenAlexW2807527869

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.