Evidence map›Paper›PMID 27834158›Full record

ArticleGenetics research2016

Investigating genetic characteristics of hepatitis B virus-associated and -non-associated hepatocellular carcinoma.

Xi-Hua Fu, Min Li, Hai-Bo Lou, Ming-Shou Huang, Chun-Long Liu

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Genetics research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Xi-Hua FuDepartment of Infectious Disease,Panyu District Central Hospital,Guangzhou 510000,China.
Min LiClinical Medicine College of Acupuncture and Rehabilitation, Guangzhou University of Chinese Medicine,Guangzhou 510000,China.
Hai-Bo LouDepartment of Infectious Disease,Panyu District Central Hospital,Guangzhou 510000,China.
Ming-Shou HuangDepartment of Infectious Disease,Panyu District Central Hospital,Guangzhou 510000,China.
Chun-Long LiuDepartment of Rehabilitation,Clinical Medicine College of Acupuncture and Rehabilitation,Guangzhou University of Chinese Medicine,Guangzhou 510000,China.
Panyu District Central Hospital · CNGuangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a primary liver malignancy that mainly occurs in patients with chronic liver disease and cirrhosis. Risk factors for HCC include hepatitis B virus (HBV) infection. However, the specific role of HBV infection in HCC development is not yet completely understood. In order to reveal the effects of HBV on HCC, we compare the genes of HCC patients infected with HBV with those who are not infected.

methodsWe encoded the genes of these two types of HCC in databases using enrichment scores of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway terms. A random forest algorithm was employed in order to distinguish these two types in the classifier, and a series of feature selection approaches was used in order to select their optimal features. Novel HBV-associated and -non-associated HCC genes were predicted, respectively, based on their optimal features in the classifier. A shortest-path algorithm was also employed in order to find all of the shortest-paths genes connecting the known related genes.

resultsA total of 54 different features between HBV-associated and -non-associated HCC genes were identified. In total, 1236 and 881 novel related genes were predicted for HBV-associated and -non-associated HCC, respectively. By integrating the predicted genes and shortest path genes in their gene interaction network, we identified 679 common genes involved in the two types of HCC.

conclusionWe identified the significantly different genetic features between two types of HCC. We also predicted related genes for the two types based on their specific features. Finally, we determined the common genes and features that were involved in both of these two types of HCC.

Indexed as

BiomarkersCarcinoma, HepatocellularCase-Control StudiesHepatitis BHepatitis B virusHumansLiver NeoplasmsReal-Time Polymerase Chain ReactionBiomarkers

Identifiers

PMID27834158
PMCPMC6865143
OpenAlexW2550901927

What OpenQuestion holds

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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.