Evidence map›Paper›PMID 32379058›Full record

ArticleAging2020

Identification and validation of the angiogenic genes for constructing diagnostic, prognostic, and recurrence models for hepatocellular carcinoma.

Jinyu Zhu, Bufu Tang, Jie Li, Yueli Shi, Minjiang Chen, Xiuling Lv, Miaomiao Meng, Qiaoyou Weng, Nannan Zhang, Kai Fan and 2 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Coronary artery disease-associated immune geneFrontiers in cardiovascular medicine · 2023
    Article
  2. Down regulated oncogeneAnnals of translational medicine · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

12 authors at 4 institutions in 1 country.

Jinyu ZhuKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Bufu TangKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Jie LiKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Yueli ShiDepartment of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Minjiang ChenKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Xiuling LvDepartment of Radiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
Miaomiao MengDepartment of Radiology, The Fifth Affiliated Hospital of Wenzhou Medical University, Lishui 323000, China.
Qiaoyou WengKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Nannan ZhangKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Kai FanKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Min XuKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Jiansong JiKey Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Lishui Hospital, School of Medicine, Zhejiang University, Lishui 323000, China.
Zhejiang University · CNSecond Affiliated Hospital of Zhejiang University · CNWenzhou Medical University · CNLishui University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since angiogenesis has an indispensable effect in the development and progression of tumors, in this study we aimed to identify angiogenic genes closely associated with prognosis of HCC to establish diagnostic, prognostic, and recurrence models. We analyzed 132 angiogenic genes and HCC-related RNA sequence data from the TCGA and ICGC databases by Cox and least absolute shrinkage and selection operator (LASSO) regression, and identified four angiogenic genes (ENFA3, EGF, MMP3 and AURKB) to establish prognosis, recurrence and diagnostic models and corresponding nomograms. The prognostic and recurrence models were determined to be independent predictors of prognosis and recurrence (P < 0.05). And compared with the low-risk group, patients in the high-risk group had worse overall survival (OS) rates in training cohort (P < 0.001) and validation cohort (P < 0.001), and higher recurrence rates in training cohort (P<0.001) and validation cohort (P=0.01). The diagnostic models have been validated to correctly distinguish HCC from normal samples and proliferative nodule samples. Through pharmacological analysis we identified piperlongumine as a drug for targeting angiogenesis, and it was validated to inhibit HCC cell proliferation and angiogenesis via the EGF/EGFR axis.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCarcinoma, HepatocellularFemaleGene Expression ProfilingHumansLiver NeoplasmsMaleNeoplasm Recurrence, LocalPrognosisRNA, NeoplasmTranscriptomeBiomarkers, TumorRNA, Neoplasmangiogenesisdiagnosishepatocellular carcinoma (HCC)prognosisrecurrence

Identifiers

PMID32379058
PMCPMC7244068
OpenAlexW3022539045

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.