Evidence map›Paper›PMID 40072643›Full record

ArticleFunctional & integrative genomics2025

Integrative single-cell and bulk RNA-seq analysis identifies lactylation-related signature in osteosarcoma.

Zhou Xie, Xiao Qu, Jun Zhang, Yanran Huang, Zhao Runhan, Dagang Tang, Ningdao Li, Zhule Wang, Xiaoji Luo

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zhou XieDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Xiao QuDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Jun ZhangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yanran HuangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Zhao RunhanDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Dagang TangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Ningdao LiDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Zhule WangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. wangzhule000@126.com.
Xiaoji LuoDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 202982@hospital.cqmu.edu.cn.

Funding

China Posdoctoral Science Foundation 2024MD754029Chongqing Natural Science Foundation project CSTB2024NSCQ-MSX1218Chongqing Young and Middle-aged Medical High-end Talent Studio No.cstc2022ycjh-bgzxm0103First Affiliated Hospital of Chongqing Medical University's "Discipline Summit Plan" No. cyyy-xkdfjhcgzh-202303
6 · The paper itself

Abstract

Osteosarcoma is the most common bone tumor and a highly aggressive malignant neoplasm. This study aims to elucidate the role of lactylation-related genes (LRGs) in osteosarcoma, with the goal of improving prognostic accuracy and enhancing the efficacy of immunotherapy. Using public datasets, we integrated differential and correlated genes based on single-cell sequencing AUCell scores and performed enrichment analysis and risk model construction on these genes. A total of 277 genes were found to be intricately linked with lactate metabolism. Using the uni-Cox and LASSO algorithm, nine key genes were identified, demonstrating strong predictive power for the prognosis of Osteosarcoma patients. Notably, changes were observed at the levels of immune checkpoints, the tumor microenvironment (TME), drug sensitivity, and immune cell infiltration. This study paves the way for targeted drug interventions, thereby opening avenues for improving clinical outcomes in osteosarcoma.

Indexed as

Biomarkers, TumorBone NeoplasmsOsteosarcomaTranscriptomeGene Expression Regulation, NeoplasticHumansPrognosisRNA-SeqSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorBioinformaticsLactylationOsteosarcomaPrognostic modelTumor microenvironment

Identifiers

What OpenQuestion 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 OpenQuestion graph.