Evidence map›Paper›PMID 33604252›Full record

ArticleJournal of clinical and translational hepatology2021

A Deep Look into the Program of Rapid Tumor Growth of Hepatocellular Carcinoma.

Jie Wang, Yi Lou, Jianmin Lu, Yuxiao Luo, Anqian Lu, Anna Chen, Jiantao Fu, Jing Liu, Xiang Zhou, Jin Yang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Jie WangDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Yi LouDepartment of Occupational Medicine, Hangzhou Red Cross Hospital, Zhejiang Provincial Integrated Chinese and Western Medicine Hospital, Hangzhou, Zhejiang, China.
Jianmin LuDepartment of Orthopedics, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Yuxiao LuoDepartment of Orthopedics, Affiliated Hospital of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Anqian LuDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Anna ChenDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jiantao FuDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jing LiuDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Xiang ZhouDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jin YangDepartment of Translational Medicine, Affiliated Hospital of Hangzhou Normal University, Institute of Hepatology and Metabolic Diseases of Hangzhou Normal University, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Affiliated Hospital of Hangzhou Normal University · CNHangzhou Red Cross Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsGreat efforts have been made towards increasing our understanding of the pathogenesis involved in hepatocellular carcinoma (HCC), but the rapid growth inherent to such tumor development remains to be explored.

methodsWe identified distinct gene coexpression modes upon liver tumor growth using weighted gene coexpression network analysis. Modeling of tumor growth as signaling activity was employed to understand the main cascades responsible for the growth. Hub genes in the modules were determined, examined

resultsWe revealed modules related to the different growth states in HCC, especially the fastest growth module, which is preserved among different HCC cohorts. Moreover, signaling flux in the cell cycle pathway was found to act as a driving force for rapid growth. Twenty hub genes in the module were identified and assembled into the growth signature, and two genes (

conclusionsThese results collectively demonstrate the molecule organization of rapid tumor growth in HCC, which is a highly synergistic process, with implications for the future management of patients.

Indexed as

Cell cycleCoexpression networkHepatocellular carcinomaMetabolismTumor growth

Identifiers

PMID33604252
PMCPMC7868698
OpenAlexW3121124464

What OpenQuestion holds

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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.