Evidence mapPaperPMID 37042849Full record

ArticleAnnals of medicine2023

RNA methylation-related genes of m6A, m5C, and m1A predict prognosis and immunotherapy response in cervical cancer.

Yan Wang, Yiwen Mao, Caizhi Wang, Xuefeng Jiang, Qionglan Tang, Lingling Wang, Jialei Zhu, Mengqiu Zhao

Open access · goldAbstract read
In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 39 citations in OpenAlex.

  1. SOX1/PAX1 Methylation for Triage of HPV-Positive Women in Cervical Cancer Screening: A Cohort Study.BJOG : an international journal of obstetrics and gynaecology · 2026
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  16. N6-methyladenosine methylation: a novel key to unlocking mental disorders.The international journal of neuropsychopharmacology · 2025
    Review
  17. Article
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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

8 authors at 4 institutions in 1 country.

Yan WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0001-8065-8811
Yiwen MaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-7498-8942
Caizhi WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.ORCID 0000-0002-4256-0458
Xuefeng JiangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-3545-5166
Qionglan TangDepartment of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID 0000-0001-7124-7017
Lingling WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.ORCID 0000-0003-2366-4961
Jialei ZhuDepartment of Surgery, Huaiyuan County Hospital of Traditional Chinese Medicine, Bengbu, China.ORCID 0000-0001-7733-6678
Mengqiu ZhaoDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.ORCID 0000-0002-3623-0647
First Affiliated Hospital of Bengbu Medical College · CNFirst Affiliated Hospital of Jinan University · CNAnyang Hospital of Traditional Chinese Medicine · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the prognostic value of N6-methyladenosine (m6A)-, 5-methylcytosine (m5C)-, and N1-methyladenosine (m1A)-related genes in cervical cancer (CESC) and predicting immunotherapy response.

methodsWe downloaded cervical cancer mRNA expression profiles, clinical data, and m6A, m5C, m1A-related genes from public databases, and subjected them to serial bioinformatics analysis and clinical sample validation.

resultsDifferential analysis revealed 106 methylation-related differential genes (MEDs), including 44 differentially downregulated and 62 upregulated genes. We then obtained methylation models containing 10 genes by univariate and multifactorial COX analysis. High risk genes with HR > 1 include IQGAP3, PTBP1, STAC3, CUX1, SLC2A1, and CA2, and low risk genes with HR < 1 include IGBP1, DUOX1, CHAF1A, and STAC3. We verified the accuracy of the model from inside TCGA and outside GSE39001 (AUC = 0.729). K-M analysis showed shorter survival times in the High-risk group, and Immunocytic infiltration analysis showed model genes closely associated with six immune cells. The high-risk group may benefit more effectively from immunosuppressive therapy, especially anti-CTLA-4 therapy (

conclusionWe identified a prognostic model using m6A/m5C/m1A-related genes in cervical cancer, which can predict survival time and correlate with immune cell infiltration. Additionally, anti-CTLA-4 may be used as an immunotherapeutic agent for cervical cancer.KEY MESSAGESCervical cancer still has a high mortality rate, we aim to establish a strong prognostic index and new treatment goals for improving patient survival.The role of three types of RNA methylation modifications, m6A, m5C, and m1A, in cervical cancer, remains unknown. Therefore, it is essential to explore the potential molecular mechanisms of m6A, m5C, and m1A methylation regulation in cervical cancer.We also screened nine drugs for potential treatment and anti-CTLA-4 may be used as an immunotherapeutic agent for cervical cancer. We verified the expression of three key genes SLC2A1, CUX1, and CA2.

Indexed as

Uterine Cervical NeoplasmsFemaleGTPase-Activating ProteinsHeterogeneous-Nuclear RibonucleoproteinsHumansImmunotherapyMethylationPolypyrimidine Tract-Binding ProteinPrognosisRNAGTPase-Activating ProteinsHeterogeneous-Nuclear RibonucleoproteinsIQGAP3 protein, humanPolypyrimidine Tract-Binding ProteinPTBP1 protein, humanRNACervical cancerimmune infiltrationimmunosuppressive therapym1Am5Cm6Apotential drug therapy

Identifiers

PMID37042849
PMCPMC10101678
OpenAlexW4365134980

What Socratic holds

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LicenceCC BY
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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 Socratic graph.