Evidence map›Paper›PMID 36308411›Full record

ArticleJournal of cellular and molecular medicine2022

Protein succinylation associated with the progress of hepatocellular carcinoma.

Wenhui Bai, Li Cheng, Liangkun Xiong, Maoming Wang, Hao Liu, Kaihuan Yu, Weixing Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 24 citations in OpenAlex.

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  18. The dark side of SIRT7.Molecular and cellular biochemistry · 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

7 authors at 1 institution in 1 country.

Wenhui BaiDepartment of Hepatobiliary Surgery, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, China.
Li ChengDepartment of Intensive Care Unit, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, China.
Liangkun XiongDepartment of Hepatobiliary Surgery, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, China.
Maoming WangDepartment of Hepatobiliary Surgery, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, China.
Hao LiuDepartment of Hepatobiliary Surgery, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, China.
Kaihuan YuDepartment of Hepatobiliary Surgery, Eastern Campus, Renmin Hospital of Wuhan University, Wuhan, China.
Weixing WangDepartment of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-3118-4346
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although post-translational modification is critical to tumorigenesis, how succinylation modification of lysine sites influences hepatocellular carcinoma (HCC) remains obscure. 90 tumours and paired adjacent normal tissue of liver cancer were enrolled for succinylation staining. 423 HCC samples with 20 genes related to succinylation modification from TCGA were downloaded for model construction. Statistical methods were employed to analyse the data, including the Non-Negative Matrix Factorization (NMF) algorithm, t-Distributed Stochastic Neighbour Embedding (t-SNE) algorithm, and Cox regression analysis. The staining pan-succinyllysine antibody staining indicated that tumour tissues had a higher succinyllysine level than adjacent tissues (p < 0.001), which could be associated with a worse prognosis (p = 0.02). The survival was associated with pathological stage, tumour recurrence status and succinyllysine intensity in the univariate or multivariable cox survival analysis model. The risk model from 20 succinyllysine-related genes had the best prognosis prediction. The high expression of succinylation modification in HCC contributed to the worse patient survival prognosis. Model construction of 20 genes related to succinylation modification (MEAF6, OXCT1, SIRT2, CREBBP, KAT5, SIRT4, SIRT6, SIRT7, CPT1A, GLYATL1, SDHA, SDHB, SDHC, SDHD, SIRT1, SIRT3, SIRT5, SUCLA2, SUCLG1 and SUCLG2) could be reliable in predicting prognosis in HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsSirtuin 3SirtuinsHumansLysineProtein Processing, Post-TranslationalLysineSIRT6 protein, humanSirtuin 3Sirtuinshepatocellular carcinomamodelprognosissuccinylation

Identifiers

PMID36308411
PMCPMC9667522
OpenAlexW4307581667

What OpenQuestion holds

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LicenceCC BY
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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.