Evidence map›Paper›PMID 31847435›Full record

ArticleCancers2019

Identification of a Subtype of Hepatocellular Carcinoma with Poor Prognosis Based on Expression of Genes within the Glucose Metabolic Pathway.

Xiaoli Zhang, Jin Li, Kalpana Ghoshal, Soledad Fernandez, Lang Li

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  6. Cancer Stem Cells from Definition to Detection and Targeted Drugs.International journal of molecular sciences · 2024
    Review
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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

5 authors at 1 institution in 1 country.

Xiaoli ZhangDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH 43201, USA.
Jin LiDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH 43201, USA.ORCID 0000-0002-6131-456X
Kalpana GhoshalDepartment of Pathology, College of Medicine, The Ohio State University, Columbus, OH 43201, USA.
Soledad FernandezDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH 43201, USA.
Lang LiDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH 43201, USA.
The Ohio State University · US

Funding

Role of microR-122 in Hepatocarcinogenesis using Conditional Knockout MiceR01CA193244 · NCI · OHIO STATE UNIVERSITY · PI GHOSHAL, KALPANA · 2015 to 2019
$2.3M
NCI NIH HHS R01 CA193244
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most prevalent primary cancer and a highly aggressive liver malignancy. Liver cancer cells reprogram their metabolism to meet their needs for rapid proliferation and tumor growth. In the present study, we investigated the alterations in the expression of the genes involved in glucose metabolic pathways as well as their association with the clinical stage and survival of HCC patients. We found that the expressions of around 30% of genes involved in the glucose metabolic pathway are consistently dysregulated with a predominant down-regulation in HCC tumors. Moreover, the differentially expressed genes are associated with an advanced clinical stage and a poor prognosis. More importantly, unsupervised clustering analysis with the differentially expressed genes that were also associated with overall survival (OS) revealed a subgroup of patients with a worse prognosis including reduced OS, disease specific survival, and recurrence-free survival. This aggressive subtype had significantly increased expression of stemness-related genes and down-regulated metabolic genes, as well as increased immune infiltrates that contribute to a poor prognosis. Collectively, this integrative study indicates that expressions of the glucose metabolic genes could be used as potential prognostic markers and/or therapeutic targets, which might be helpful in developing precise treatment for patients with HCC.

Indexed as

clinical outcomesclusteringdown-regulated metabolismgene expressionglucose metabolismhepatocellular carcinomastemness

Identifiers

PMID31847435
PMCPMC6966574
OpenAlexW2995336440

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.