Evidence map›Paper›PMID 40026531›Full record

ArticleAnalytical cellular pathology (Amsterdam)2025

Decoding Osteosarcoma's Lactylation Gene Expression: Insights Into Prognosis, Immune Dynamics, and Treatment.

Cheng Peng, Chaoqun You, Shuang Cao, Linfei Cheng, Jiaji Ren, Jiashi Cao, Jing Wang, Tielong Liu

Abstract read
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
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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.

Cheng PengDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0009-0007-7434-5537
Chaoqun YouDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-0811-7516
Shuang CaoDepartment of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200021, China.ORCID https://orcid.org/0009-0008-0186-7657
Linfei ChengDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0009-0002-0361-7885
Jiaji RenDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0009-0007-1596-9593
Jiashi CaoDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0001-6980-3424
Jing WangDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0000-0002-5337-5370
Tielong LiuDepartment of Orthopedics, Changzheng Hospital, Naval Medical University, Shanghai 200003, China.ORCID https://orcid.org/0009-0001-5500-4338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS), characterized by a complex tumor microenvironment, poses challenges in treatment, metastasis, and therapy resistance. This study examined the impact of lactylation, a posttranslational modification, on gene expression and tumor behavior in OS, particularly its influence on prognosis, immune cell infiltration, and chemotherapy response. Utilizing data from the Gene Expression Omnibus series accession number 21257 (GSE21257) and the Therapeutically Applicable Research to Generate Effective Treatments on Osteosarcoma (TARGET-OS) datasets, the investigation focused on analyzing the expression profiles of 267 lactylation modifier genes, which were selected from a total of 336 lactylation-related genes compiled from various studies in the literature. The methods included unsupervised clustering using "ConsensusClusterPlus" heatmap generation with "pheatmap" pathway analysis from several databases, and immune cell infiltration assessment using the "single-sample Gene Set Enrichment Analysis (ssGSEA)" function. The research revealed 36 significant lactylation-related genes in OS, categorizing them into two clusters with distinct survival and biological characteristics. One cluster demonstrated poor prognosis due to increased tumor cell proliferation and specific immune cell variations, also showcasing genes that enhance tumor growth and metastasis, thus indicating its aggressive nature and adverse outcomes for patients. These insights are crucial for understanding the molecular mechanisms of OS and identifying therapeutic targets. Therefore, the study elucidates the role of lactylation-related genes in the prognosis, pathogenesis, and treatment response of OS, laying the groundwork for further exploration into potential therapeutic targets and the underlying mechanisms within OS.

Indexed as

Bone NeoplasmsGene Expression Regulation, NeoplasticOsteosarcomaProtein Processing, Post-TranslationalCluster AnalysisGene Expression ProfilingHumansPrognosisTumor Microenvironmentgene expressionimmune system phenomenaosteosarcomaprognosistumor microenvironment

Identifiers

PMID40026531
PMCPMC11870760

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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 OpenQuestion graph.