Transcriptomics and single-cell RNA sequencing uncover prognostic characteristics and immune regulatory mechanisms of lactylation in cervical cancer.

Yunuo Zheng, Yue Li, Shenghan Zhang, Qian Lv, Jingbo Zhang, Bei Zhang, Yanyu Li

Abstract read

In one paragraph

Article in BioImpacts : BI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yunuo ZhengDepartment of Central Laboratory, Xuzhou Central Hospital Southeast University, Xuzhou Central Hospital, Xuzhou, China.ORCID https://orcid.org/0000-0001-6363-5108

Yue LiDepartment of Intensive Care Unit, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, The First People's Hospital of Xuzhou, Xuzhou, China.

Shenghan ZhangDepartment of Central Laboratory, Xuzhou Central Hospital Southeast University, Xuzhou Central Hospital, Xuzhou, China.

Qian LvDepartment of Central Laboratory, Xuzhou Central Hospital Southeast University, Xuzhou Central Hospital, Xuzhou, China.

Jingbo ZhangDepartment of Obstetrics and Gynecology, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Central Hospital, Xuzhou, China.

Bei ZhangDepartment of Obstetrics and Gynecology, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Central Hospital, Xuzhou, China.

Yanyu LiDepartment of Obstetrics and Gynecology, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou Central Hospital, Xuzhou, China.ORCID https://orcid.org/0000-0002-0243-2849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 Conclusion: LRGs demonstrated significant prognostic value in CESC and accurately predicted patient outcomes. Furthermore, the study underscored the pivotal role of CD8

Indexed as

Cervical cancerLactylationMendelian randomizationSingle-cell RNA sequencing

Identifiers

PMID42666969

DOI10.34172/bi.33527

PMCPMC13523972

What Socratic holds

Textmetadata

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 Socratic graph.