Evidence map›Paper›PMID 42897554›Full record

ReviewCell communication and signaling : CCS2026

Lactylation in cancer: a new frontier in metabolic-epigenetic regulation and clinical practice.

Yihan Zhang, Lan Chen, Yaxi Qin, Ying Wang, Xi Liu, Minghui Zhang, Jing Tang

Abstract readReview
In one paragraph

Review in Cell communication and signaling : CCS, 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.

Yihan ZhangDepartment of Pathology, School of Basic Medical Sciences, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, China.
Lan ChenDepartment of Pathology, School of Basic Medical Sciences, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, China.
Yaxi QinDepartment of Pathology, School of Basic Medical Sciences, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, China.
Ying WangDepartment of Oncology, Chifeng City Hospital, Chifeng, 024000, China.
Xi LiuCardiovascular Center, Inner Mongolia People's Hospital, Hohhot, 010017, Inner Mongolia, China. Liuxi2594@163.com.
Minghui ZhangDepartment of Oncology, Chifeng City Hospital, Chifeng, 024000, China. cfzhangminghui@163.com.
Jing TangDepartment of Pathology, School of Basic Medical Sciences, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, 150081, China. tangjing@hrbmu.edu.cn.ORCID https://orcid.org/0000-0001-9787-8626

Funding

Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences NO.2023GLLH0315the National Natural Science Foundation of China No. 82303027
6 · The paper itself

Abstract

The discovery of lysine lactylation (Kla) redefines lactate from a passive glycolytic by-product into a bioactive metabolic mediator that directly links cellular metabolism to epigenetic regulation. This emerging post-translational modification dynamically alters histone and non-histone proteins, thereby reconfiguring gene expression programs and immune responses within the tumor microenvironment (TME). It consequently promotes core malignant phenotypes including uncontrolled proliferation, epithelial-mesenchymal transition (EMT), metastatic dissemination, and resistance to chemotherapy, radiotherapy, and immune checkpoint blockade. Specific epigenetic signatures, notably histone H3K18la and H4K12la marks, serve as transcriptional anchors for oncogenic pathways across multiple cancer types. Multi-omics analyses have further yielded Kla-associated gene profiles with the potential to refine prognostic stratification and drug-target identification. These findings establish Kla as a central axis in tumor-associated metabolic-epigenetic crosstalk. Effective clinical application of KLAsKla biomarkers requires resolving technical detection limits and addressing the spatiotemporal heterogeneity that currently constrains machine learning-based prognostic models. Overcoming these bottlenecks is contingent upon leveraging advanced technologies such as single-cell multi-omics and spatial transcriptomics. This review characterizes the emerging roles of Kla in tumor metabolism, providing a framework for its future application as a diagnostic and therapeutic cornerstone in precision oncology.

Indexed as

Epigenesis, GeneticLysineNeoplasmsAnimalsHistonesHumansMetabolic ReprogrammingProtein Processing, Post-TranslationalTumor MicroenvironmentHistonesLysineImmune evasionLactylationOncogenic signalingPrognostic biomarkersTumor microenvironment

Identifiers

PMID42897554
PMCPMC13682118

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.