Evidence map›Paper›PMID 42415249›Full record

ArticleClinical and translational medicine2026

A succinylation-based classifier predicts chemotherapy response in prostate cancer and reveals KAT2A as a therapeutic target.

Antao Dong, Wei Hu, Zhihui Lu, Liangliang Li, Kun Liu, Shiyao Feng, Dongdong Xie

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Article in Clinical and translational medicine, 2026. 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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5 · Who and what money

Authors and funding

7 authors.

Antao DongDepartment of Urology, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Wei HuDepartment of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Zhihui LuDepartment of Urology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Liangliang LiDepartment of Urology, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Kun LiuDepartment of Urology, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, Anhui Province, China.
Shiyao FengDepartment of Urology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.ORCID 0000-0002-7821-328X
Dongdong XieDepartment of Urology, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.ORCID 0009-0005-9657-0626

Funding

Anhui Medical University 2023xkj061Anhui Provincial Department of Education 2024AH050764Anhui Provincial Health Commission AHWJ2024Aa10014Cancer Genome AtlasFuyang Health Commission FYHR2024-048
6 · The paper itself

Abstract

backgroundChemotherapy resistance remains a critical hurdle in advanced prostate cancer (PCa). Succinylation, an essential post-translational modification linking cellular metabolism with epigenetic regulation, has been implicated in tumour progression; however, its contribution to PCa chemoresistance remains poorly defined.

objectiveThis study aimed to evaluate the prognostic significance of succinylation in PCa, develop a succinylation-based biomarker, and elucidate the mechanisms driving chemotherapy resistance.

methodsWe generated a succinylation score (SS) by applying single-sample gene set enrichment analysis (ssGSEA) to transcriptomic profiles from the TCGA-PRAD cohort. Its relationships with survival, the tumour microenvironment (TME), and treatment susceptibility were examined using CIBERSORT, GSEA, TIDE, oncoPredict, and single-cell RNA sequencing (scRNA-seq). Findings were functionally validated in patient-derived organoids, PCa cell lines, and xenograft models through genetic manipulation, chemosensitivity assays, and mechanistic studies.

resultsHigh SS correlated with favourable prognosis, lower Gleason scores, absent lymph node metastasis, and an immune-active TME enriched in CD8

conclusionThe succinylation score serves as a robust prognostic biomarker integrating metabolic and immunological features in PCa. The KAT2A-PIK3R2 succinylation pathway represents a newly defined driver of chemoresistance and points to MB-3-based combination therapy as a potential strategy for resistant advanced disease. KEY POINTS: A transcriptome-based succinylation score (SS) stratifies prostate cancer by prognosis, immune contexture, and chemotherapy sensitivity. KAT2A is enriched in low-SS, chemoresistant tumours and promotes resistance by succinylating PIK3R2. KAT2A-mediated succinylation competitively inhibits PIK3R2 ubiquitination, stabilising PIK3R2 and driving chemoresistance. The KAT2A inhibitor MB-3 synergises with chemotherapy to suppress tumour growth in both chemoresistant and chemosensitive models.

Indexed as

Histone AcetyltransferasesProstatic NeoplasmsAnimalsAntineoplastic AgentsCell Line, TumorDrug Resistance, NeoplasmHumansMaleMicep300-CBP-Associated FactorPrognosisTumor MicroenvironmentAntineoplastic AgentsHistone AcetyltransferasesKAT2A protein, humanp300-CBP-Associated FactorchemoresistanceKAT2Aprostate cancersuccinylationtumour microenvironment

Identifiers

PMID42415249
PMCPMC13341643

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