Evidence map›Paper›PMID 30378276›Full record

ArticleCancer medicine2018

Genomewide identification of a novel six-LncRNA signature to improve prognosis prediction in resectable hepatocellular carcinoma.

Ying Wu, Peng-Shuo Wang, Ben-Gang Wang, Lu Xu, Wan-Xia Fang, Xiao-Fang Che, Xiu-Juan Qu, Yun-Peng Liu, Zhi Li

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. mCancer cell international · 2025
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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 1 institution in 1 country.

Ying WuDepartment of General Practice, The First Hospital, China Medical University, Shenyang, China.
Peng-Shuo WangDepartment of Psychology, The First Hospital, China Medical University, Shenyang, China.
Ben-Gang WangDepartment of Hepatobiliary Surgery, The First Hospital, China Medical University, Shenyang, China.
Lu XuDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Wan-Xia FangDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Xiao-Fang CheDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Xiu-Juan QuDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Yun-Peng LiuDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.
Zhi LiDepartment of Medical Oncology, The First Hospital, China Medical University, Shenyang, China.ORCID 0000-0002-6437-0348
First Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current prognostic long noncoding RNA (lncRNA) signatures for hepatocellular carcinoma (HCC) are still controversial and need to be optimized by systematic bioinformatics analyses with suitable methods and appropriate patients. Therefore, we performed the study to establish a credible lncRNA signature for HCC outcome prediction and explore the related mechanisms. Based on the lncRNA profile and the clinical data of carefully selected HCC patients (n = 164) in TCGA, six of 12727 lncRNAs, MIR22HG, CTC-297N7.9, CTD-2139B15.2, RP11-589N15.2, RP11-343N15.5, and RP11-479G22.8 were identified as the independent predictors of patients' overall survival in HCC by sequential univariate Cox and 1000 times Cox LASSO regression with 10-fold CV, and multivariate Cox analysis with 1000 times bootstrapping. In the Kaplan-Meier analysis with patients trichotomized by the six-lncRNA signature, high-risk patients showed significantly shorter survival than mid- and low-risk patients (log-rank test P < 0.0001). According to the ROCs, the six-lncRNA signature showed superior predictive capacity than the two existing four-lncRNA combinations and the traditional prognostic clinicopathological parameter TNM stage. Furthermore, low MIR22HG and CTC-297N7.9, but high CTD-2139B15.2, RP11-589N15.2, RP11-343N15.5, and RP11-479G22.8, were, respectively, demonstrated to be related with the malignant phenotypes of HCC. Functionally, the six lncRNAs were disclosed to involve in the regulation of multiple cell cycle and stress response-related pathways via mediating transcription regulation and chromatin modification. In conclusion, our study identified a novel six-lncRNA signature for resectable HCC prognosis prediction and indicated the underlying mechanisms of HCC progression and the potential functions of the six lncRNAs awaiting further elucidation.

Indexed as

RNA, Long NoncodingAgedCarcinoma, HepatocellularFemaleGenome, HumanHumansKaplan-Meier EstimateLiver NeoplasmsMaleMiddle AgedPrognosisProportional Hazards ModelsRNA, Long Noncodingbiomarkerhepatocellular carcinomaLncRNAprognosis

Identifiers

PMID30378276
PMCPMC6308084
OpenAlexW2898805142

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.