Evidence mapPaperPMID 41205015Full record

ArticleImmunologic research2025

Lactylation-related multigene signature in multiple myeloma: integrated prognostic stratification, immune landscape profiling, and therapeutic guidance.

Wuyang Zhang, Shuai Ming, Peng Cheng, Dan Shi, Jingyu Li, Bin Wang, Yu Fang, Mengru Li, Wei Cao, Min Wang and 3 more

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Article in Immunologic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Wuyang Zhang *Department of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Shuai Ming *Department of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Peng Cheng *Department of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Dan ShiDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Jingyu LiDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Bin WangDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Yu FangState Key Laboratory of Experimental Hematology, Senior Department of Hematology, the Fifth Medical Center of PLA General Hospital, Beijing, 100039, China.
Mengru LiDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Wei CaoDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Min WangDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Zaibao WangDepartment of Anesthesiology, First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Jiawei XiaoDepartment of Anesthesiology, First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
Wei WeiDepartment of Radiology, Centre for Leading Medicine and Advanced Technologies of IHM, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, Anhui, 230001, China. weiweill@ustc.edu.cn.

Funding

The Anhui Province Academic Leaders Reserve Candidates Support A-level Projects 2022H279The Anhui Province Key R&D Life and Health Category A Project 2022e0702007The Artificial Intelligence Joint Fund Innovation Project MAI2023C006The National Natural Science Foundation of China 82271991
6 · The paper itself

Abstract

Multiple myeloma (MM) is an incurable hematologic malignancy with high heterogeneity and poor prognosis. Lactylation, a novel post-translational modification, drives tumor progression and immune dysregulation, yet its prognostic value in MM remains uncharacterized. To explore the prognostic value of lactylation-related genes in multiple myeloma, our study aims to construct and validate a lactylation-related multigene signature, which can provide integrated prognostic stratification, immune landscape profiling, and therapeutic guidance for MM patients. This study integrated 1,417 MM patients (859 from the TCGA-MMRF training cohort; 558 from the GSE24080 validation cohort) and 121 normal controls. Differential expression identified lactylation-related genes, and a prognostic model was constructed via LASSO-Cox regression. The model was validated in an independent cohort and we assessed immune infiltration and drug sensitivity. We finally identified four lactylation-associated prognostic genes (SLC19A1, KIF23, TOP2A, and XK) and categorized the patients into high-risk/low-risk groups, which differed in survival rates (P < 0.0001). The model showed robust accuracy (3-year AUC = 0.764) and validation (P = 0.0018). Low-risk patients exhibited enhanced anti-tumor immunity (activated dendritic cells↑, CD8⁺ T cells↑) and heightened sensitivity to bortezomi/venetoclax, etc. We established the lactylation-derived gene signature for MM, providing a clinical tool for risk stratification, immune profiling, and personalized therapy.

Indexed as

Biomarkers, TumorMultiple MyelomaAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisProtein Processing, Post-TranslationalTranscriptomeTumor MicroenvironmentBiomarkers, TumorDrug sensitivityImmune-cell infiltrationLactylationMultiple myelomaRisk model

Identifiers

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Registered trials

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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 Socratic graph.