Evidence map›Paper›PMID 27079415›Full record

ArticleScientific reports2016

The combination of three molecular markers can be a valuable predictive tool for the prognosis of hepatocellular carcinoma patients.

Sheng-Sen Chen, Kang-Kang Yu, Qing-Xia Ling, Chong Huang, Ning Li, Jian-Ming Zheng, Su-Xia Bao, Qi Cheng, Meng-Qi Zhu, Ming-Quan Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Paradoxical roles of dual oxidases in cancer biology.Free radical biology & medicine · 2017
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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.

Sheng-Sen ChenDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Kang-Kang YuDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Qing-Xia LingDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Chong HuangDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Ning LiDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Jian-Ming ZhengDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Su-Xia BaoDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Qi ChengDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Meng-Qi ZhuDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Ming-Quan ChenDepartment of Infectious Diseases and Hepatology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on molecular profiling, several prognostic markers for HCC are also used in clinic, but only a few genes have been identified as useful. We collected 72 post-operative liver cancer tissue samples. Genes expression were tested by RT-PCR. Multilayer perceptron and discriminant analysis were built, and their ability to predict the prognosis of HCC patients were tested. Receiver operating characteristic (ROC) analysis was performed and multivariate analysis with Cox's Proportional Hazard Model was used for confirming the markers'predictive efficiency for HCC patients'survival. A simple risk scoring system devised for further predicting the prognosis of liver tumor patients. Multilayer perceptron and discriminant analysis showed a very strong predictive value in evaluating liver cancer patients'prognosis. Cox multivariate regression analysis demonstrated that DUOX1, GLS2, FBP1 and age were independent risk factors for the prognosis of HCC patients after surgery. Finally, the risk scoring system revealed that patients whose total score >1 and >3 are more likely to relapse and die than patients whose total score ≤1 and ≤3. The three genes model proposed proved to be highly predictive of the HCC patients' prognosis. Implementation of risk scoring system in clinical practice can help in evaluating survival of HCC patients after operation.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, HepatocellularDual OxidasesFemaleFructose-BisphosphataseGlutaminaseHumansLiver NeoplasmsMaleMiddle AgedModels, TheoreticalNADPH OxidasesBiomarkers, TumorDual OxidasesDUOX1 protein, humanFructose-BisphosphataseGLS2 protein, humanGlutaminaseNADPH Oxidases

Identifiers

PMID27079415
PMCPMC4832332
OpenAlexW2339637866

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.