﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>BioImpacts</JournalTitle>
      <Issn>2228-5652</Issn>
      <Volume>16</Volume>
      <Issue>1</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2026</Year>
        <Month>01</Month>
        <DAY>04</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Transcriptomics and single-cell RNA sequencing uncover prognostic characteristics and immune regulatory mechanisms of lactylation in cervical cancer</ArticleTitle>
    <FirstPage>33527</FirstPage>
    <LastPage>33527</LastPage>
    <ELocationID EIdType="doi">10.34172/bi.33527</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Yunuo</FirstName>
        <LastName>Zheng</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-6363-5108</Identifier>
      </Author>
      <Author>
        <FirstName>Yue</FirstName>
        <LastName>Li</LastName>
      </Author>
      <Author>
        <FirstName>Shenghan</FirstName>
        <LastName>Zhang</LastName>
      </Author>
      <Author>
        <FirstName>Qian</FirstName>
        <LastName>Lv</LastName>
      </Author>
      <Author>
        <FirstName>Jingbo</FirstName>
        <LastName>Zhang</LastName>
      </Author>
      <Author>
        <FirstName>Bei</FirstName>
        <LastName>Zhang</LastName>
      </Author>
      <Author>
        <FirstName>Yanyu</FirstName>
        <LastName>Li</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-0243-2849</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/bi.33527</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2026</Year>
        <Month>02</Month>
        <Day>10</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2026</Year>
        <Month>05</Month>
        <Day>12</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: Lactylation, an emerging post-translational modification, modulates tumor metabolism and gene expression, thereby influencing the initiation and progression of cervical squamous cell carcinoma (CESC). This study aims to identify lactylation-associated prognostic features in CESC through the integration of transcriptomic data and single-cell RNA sequencing (scRNA-seq).  Methods: Publicly available datasets were utilized for this study. Lactylation-related genes (LRGs) linked to CESC prognosis were found through analysis. Key prognostic genes include PGK1, PFKP, DDX39A, RFC4, WAS, and PFKM, with PFKP identified as a risk factor. Results: The risk model demonstrated strong predictive performance, and immune infiltration analysis revealed elevated levels of immune cells, with CD8+ T cells negatively correlating with risk. ScRNA-seq analysis identified three distinct cell types, with CD8+ T cells showing a distinct developmental trajectory, marked by a reduction in early-stage cells and an accumulation of late-stage cells within the CESC microenvironment. Moreover, the expression of prognostic genes was elevated during the later stages of CD8+ T cell differentiation. Conclusion: LRGs demonstrated significant prognostic value in CESC and accurately predicted patient outcomes. Furthermore, the study underscored the pivotal role of CD8+ T cells in the progression of CESC.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Cervical cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Lactylation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Mendelian randomization</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Single-cell RNA sequencing</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>