Evidence map›Paper›PMID 37234166›Full record

ArticleFrontiers in immunology2023

Comprehensive analysis of FOXM1 immune infiltrates, m6a, glycolysis and ceRNA network in human hepatocellular carcinoma.

Ziwu Xu, Chaozhu Pei, Haojie Cheng, Kaixin Song, Junting Yang, Yuhang Li, Yue He, Wenxuan Liang, Biyuan Liu, Wen Tan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. 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
3.7field-weighted citation impact, top 7% 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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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

13 authors at 4 institutions in 1 country.

Ziwu XuSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Chaozhu PeiCollege of Biology, Hunan University, Changsha, China.
Haojie ChengCollege of Biology, Hunan University, Changsha, China.
Kaixin SongSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Junting YangSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Yuhang LiSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Yue HeSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Wenxuan LiangSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Biyuan LiuSchool of Medical, Hunan University of Chinese Medicine, Changsha, China.
Wen TanDepartment of Pathology, Changsha Hospital of Traditional Chinese Medicine, Changsha Eighth Hospital, Changsha, China.
Xia LiDepartment of General Surgery, People's Hospital of Hunan Province, Changsha, China.
Xue PanSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Lei MengSchool of Pharmacy, Hunan University of Chinese Medicine, Changsha, China.
Hunan University of Traditional Chinese Medicine · CNHunan University · CNHunan Provincial People's Hospital · CNThe Eighth Hospital of Xi'an · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Forkhead box M1 (FOXM1) is a member of the Forkhead box (Fox) transcription factor family. It regulates cell mitosis, cell proliferation, and genome stability. However, the relationship between the expression of FOXM1 and the levels of m6a modification, immune infiltration, glycolysis, and ketone body metabolism in HCC has yet to be fully elucidated. Methods: Transcriptome and somatic mutation profiles of HCC were downloaded from the TCGA database. Somatic mutations were analyzed by maftools R package and visualized in oncoplots. GO, KEGG and GSEA function enrichment was performed on FOXM1 co-expression using R. We used Cox regression and machine learning algorithms (CIBERSORT, LASSO, random forest, and SVM-RFE) to study the prognostic value of FOXM1 and immune infiltrating characteristic immune cells in HCC. The relationship between FOXM1 and m6A modification, glycolysis, and ketone body metabolism were analyzed by RNA-seq and CHIP-seq. The competing endogenous RNA (ceRNA) network construction relies on the multiMiR R package, ENCORI, and miRNET platforms. Results: FOXM1 is highly expressed in HCC and is associated with a poorer prognosis. At the same time, the expression level of FOXM1 is significantly related to the T, N, and stage. Subsequently, based on the machine learning strategies, we found that the infiltration level of T follicular helper cells (Tfh) was a risk factor affecting the prognosis of HCC patients. The high infiltration of Tfh was significantly related to the poor overall survival rate of HCC. Besides, the CHIP-seq demonstrated that FOXM1 regulates m6a modification by binding to the promoter of IGF2BP3 and affects the glycolytic process by initiating the transcription of HK2 and PKM in HCC. A ceRNA network was successfully obtained, including FOXM1 - has-miR-125-5p - DANCR/MIR4435-2HG ceRNA network related to the prognosis of HCC. Conclusion: Our study implicates that the aberrant infiltration of Tfh associated with FOXM1 is a crucial prognostic factor for HCC patients. FOXM1 regulates genes related to m6a modification and glycolysis at the transcriptional level. Furthermore, the specific ceRNA network can be used as a potential therapeutic target for HCC.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAlgorithmsForkhead Box Protein M1Forkhead Transcription FactorsGlycolysisHumansKetonesMembrane GlycoproteinsNerve Tissue ProteinsForkhead Box Protein M1Forkhead Transcription FactorsFOXM1 protein, humanGPM6A protein, humanKetonesMembrane GlycoproteinsNerve Tissue ProteinsFoxM1glycolysishepatocellular carcinomaimmune infiltrationm6A modification

Identifiers

PMID37234166
PMCPMC10208224
OpenAlexW4376106094

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.