Evidence map›Paper›PMID 31938237›Full record

ArticleInternational journal of clinical and experimental pathology2018

Overexpression of long non-coding RNAs DUXAP9 and DUXAP10 is associated with prognosis in patients with hepatocellular carcinoma after hepatectomy.

Qian Zhu, Jian Liu, Jie Tang, De-Liang Guo, Yun Li, Rui Duan

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. The LncRNA DUXAP10 Could Function as a Promising Oncogene in Human Cancer.Frontiers in cell and developmental biology · 2022
    Review
  4. Article
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

6 authors at 1 institution in 1 country.

Qian ZhuDepartment of General Surgery, Jingmen First People's Hospital Jingmen, Hubei Province, China.
Jian LiuDepartment of General Surgery, Jingmen First People's Hospital Jingmen, Hubei Province, China.
Jie TangDepartment of General Surgery, Jingmen First People's Hospital Jingmen, Hubei Province, China.
De-Liang GuoDepartment of General Surgery, Jingmen First People's Hospital Jingmen, Hubei Province, China.
Yun LiDepartment of General Surgery, Jingmen First People's Hospital Jingmen, Hubei Province, China.
Rui DuanDepartment of General Surgery, Jingmen First People's Hospital Jingmen, Hubei Province, China.
First People’s Hospital of Jingmen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimHepatocellular carcinoma (HCC) is a common and aggressive malignant tumor with an especially high prevalence in Asian populations. This study aimed to identify differentially expressed lncRNAs using expression microarray and to explore the association between differential expression of lncRNAs and prognosis of HCC.

methodsWe retrospectively reviewed 63 patients with primary HCC that underwent a curative liver resection at the Department of General Surgery, Jingmen First People's Hospital. The expression level of lncRNAs DUXAP9 and DUXAP10 were detected by real-time PCR. Prognostic factors were evaluated using Kaplan-Meier curves and Cox proportional hazards models.

resultsBy microarray profiling of lncRNAs, 256 were found to be differentially expressed, including 162 upregulated and 94 downregulated (

conclusionsWe found that lncRNAs DUXAP9 and DUXAP10 are expressed significantly higher in HCC tissues compared with non-tumorous tissues. Overexpression of DUXAP9 and DUXAP10 were independent risk factors associated with prognosis of patients with HCC.

Indexed as

DUXAP9 and DUXAP10HCCprognosis

Identifiers

PMID31938237
PMCPMC6958151
OpenAlexW3027299144

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.