Evidence map›Paper›PMID 36157211›Full record

ArticleDisease markers2022

Predicting Prognosis of Hepatocellular Carcinoma Patients Based on the Expression Signatures of Mitophagy Genes.

Yan-Ke Li, Li-Rong Yan, Li-Yue Jiang, Qian Xu, Ben-Gang Wang

Abstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Histidine Phosphorylation: Protein Kinases and Phosphatases.International journal of molecular sciences · 2024
    Review
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.

Yan-Ke LiInstitute of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0003-1114-2963
Li-Rong YanInstitute of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0001-7980-1238
Li-Yue JiangInstitute of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0002-9197-4059
Qian XuInstitute of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0001-8073-6656
Ben-Gang WangInstitute of General Surgery, The First Affiliated Hospital of China Medical University, Shenyang 110001, China.ORCID https://orcid.org/0000-0001-6595-8306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The unbalance of mitophagy was closely related to hepatocellular carcinoma (HCC) progression. At present, it has not been uncovered about the influence of mitophagy genes on HCC prognosis and their potential pathogenesis. Materials and Methods: The expression and clinical information of HCC in TCGA cohort were used to identify mitophagy differentially expressed genes (MDEGs) with prognostic value. The prognostic model of mitophagy genes was built and externally validated by LASSO regression in TCGA cohort and ICGC cohort, respectively. The function of the prognostic signature and its association with immune cell infiltration were explored. The profile of MDEGs was validated with 39 pairs HCC and paracarcinoma tissues by quantitative reverse transcription-PCR (qRT-PCR). Results: A total of 18 mitophagy genes that were upregulated and contributed to poor prognosis in HCC were identified. These genes could interact with each other. The correlation analysis showed that there was positively correlation among mitophagy genes. According to optimal Conclusion: Mitophagy genes could influence HCC progression through regulating the metabolism and immune functions and could be used to predict prognosis and considered as potential prognostic biomarker and precise therapeutic target of HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiomarkersGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMitophagyPrognosisBiomarkers

Identifiers

PMID36157211
PMCPMC9507775

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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.