Evidence map›Paper›PMID 39192265›Full record

ArticleMolecular cancer2024

Assessment of SWI/SNF chromatin remodeling complex related genes as potential biomarkers and therapeutic targets in pan-cancer.

Kai Zhuang, Lishan Wang, Chengyu Lu, Zhiping Liu, Dongli Yang, Hao Zhong, Jiami Zou, Aamir Fahira, Jiaojiao Wang, Zunnan Huang

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

10 authors.

Kai Zhuang *Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China.
Lishan Wang *Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China.
Chengyu Lu *Key Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China.
Zhiping Liu *State Key Laboratory of Bioactive Molecules and Druggability Assessment, College of Pharmacy, Jinan University, Guangzhou, Guangdong Province, 510632, PR China.
Dongli YangKey Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China.
Hao ZhongKey Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China.
Jiami ZouState Key Laboratory of Bioactive Molecules and Druggability Assessment, College of Pharmacy, Jinan University, Guangzhou, Guangdong Province, 510632, PR China.
Aamir FahiraKey Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China.
Jiaojiao WangState Key Laboratory of Bioactive Molecules and Druggability Assessment, College of Pharmacy, Jinan University, Guangzhou, Guangdong Province, 510632, PR China. jjwang@jnu.edu.cn.
Zunnan HuangKey Laboratory of Big Data Mining and Precision Drug Design of Guangdong Medical University, Key Laboratory of Computer-Aided Drug Design of Dongguan City, Key Laboratory for Research and Development of Natural Drugs of Guangdong Province, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong Province, 523808, PR China. zn_huang@gdmu.edu.cn.

Funding

Key Discipline Construction Project of Guangdong Medical University 4SG23004GNational Natural Science Foundation of China 82203304
6 · The paper itself

Abstract

Recent research has uncovered a surprisingly high occurrence of aberrant expression and mutations in the genes that encode subunits of the SWI/SNF chromatin-remodeling complexes (SCRC). Nevertheless, the carcinogenic effects of aberrant expression and mutations in SWI/SNF genes have only been acknowledged in recent times, resulting in a comparatively limited understanding of these modifications. In this study, we comprehensively analyzed the expression difference, somatic mutation, potential biological pathways, stromal or immune cell infiltration, and drug sensitivity of SCRC-related genes (SCRGs) in pan-cancer. Furthermore, the evolutionary trend, prognostic signature, and immunotherapy response of SCRGs in kidney renal clear cell carcinoma (KIRC) were also evaluated. The expression of SCRGs was changed in 13 out of 14 tumor types, strongly linked to prognosis, and mutated in 30.9% of tumor patients. SCRGs were also closely associated with immune-related pathways and tumor metastasis pathways. The expression of SCRGs was positively associated with the immune score or stromal score but negatively correlated with Tumor purity. Three potential drugs (FK866, Ispinesib mesylate, and WZ3105) were identified to target the SCRGs. In KIRC, scRNA-seq analysis showed that the enrichment of SCRC and the communication frequency with immune cells were significantly declined during tumor cell progression. A prognostic signature was constructed in KIRC and was effective in predicting the prognosis for KIRC. Aberrant expression of eleven prognostic genes identified from the KIRC prognostic signature and the cytotoxicity of FK866 and Ispinesib mesylate to KIRC were verified by qRT-PCR and CCK-8 assay, respectively. Our study identified SCRGs as potential biomarker and therapeutic targets, providing new insights into SCRC for tumor-targeted therapy.

Indexed as

Biomarkers, TumorChromatin Assembly and DisassemblyGene Expression Regulation, NeoplasticNeoplasmsChromosomal Proteins, Non-HistoneGene Expression ProfilingHumansMolecular Targeted TherapyMutationPrognosisTranscription FactorsBiomarkers, TumorChromosomal Proteins, Non-HistoneTranscription FactorsImmunotherapyKIRCMutationPan-cancerPrognosisSWI/SNF

Identifiers

PMID39192265
PMCPMC11348550

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