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pmid:41618008

Exploring the mechanism and therapeutic potential of BUB1 in regulating esophageal cancer progression based on 5-FU target prediction.

Liangqin Luo · ZhiWu Lin · Zitong Xiong · Peiquan Zhu · Xinglan Wang · Jiaan Lu · Ruixiang Li · Jiangtao Pu · Qi Song

Discover oncology · 2026 doi:10.1007/s12672-026-04486-3

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Exploring the mechanism and therapeutic potential of BUB1 in regulating esophageal cancer progression based on 5-FU target prediction.
doi
10.1007/s12672-026-04486-3
pmid
41618008
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Liangqin Luo
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ZhiWu Lin
[2]
Zitong Xiong
[3]
Peiquan Zhu
[4]
Xinglan Wang
[5]
Jiaan Lu
[6]
Ruixiang Li
[7]
Jiangtao Pu
[8]
Qi Song
journal
Discover oncology
year
2026
abstract
BACKGROUND: Esophageal cancer is the seventh most common and sixth deadliest cancer globally, threatening human health, especially among vulnerable groups. It is also a major cause of global cancer burden, and as a malignant tumor with high mortality and poor prognosis, its 5-year survival rate is less than 25%; currently, surgical resection, radiotherapy and chemotherapy are the main clinical treatments for esophageal cancer. However, conventional treatment outcomes are unsatisfactory, and only a limited number of individuals are able to achieve lasting benefits due to the elusive chemoresistance. Newly developed targeted therapies for esophageal cancer have been available over the past few decades, but have not had a meaningful clinical impact, resulting in minimal improvement in patient survival. Nevertheless, scientists still believe that novel treatments for esophageal cancer hold great promise, and it is therefore important to identify new drug targets from existing chemotherapy regimens for new drug development. METHODS: In this study, we screened potential targets of 5-FU by a multi-omics approach: predicting drug-acting genes based on PubChem, CTD, SwissTargetPrediction and TargetNet databases; differential expression analysis and pathway enrichment of esophageal cancer using GEO dataset GSE17351, and constructing a co-expression network by WGCNA to analyze the clinical and gene module correlations. clinical and gene module correlation. Finally, cell subpopulation distribution was analyzed based on GSE196756 single-cell sequencing data. For the experimental validation part, the KYSE150/TE1 human esophageal cancer cell line was used, with an untreated control group (NC) and a si-BUB1 interference group (two independent siRNA sequences), and the BUB1 function was detected by Western blot, cell scratch/Transwell and clone formation assays. RESULTS: KEGG enrichment significantly associated with the p53/PI3K-Akt pathway. Differential analysis showed that genes such as MMP10 and MYBL2 were up-regulated and SLC6A1 was down-regulated in esophageal cancer tissues, and GSEA based on the results of differential analysis suggested activation of the cancer cell cycle/DNA replication pathway. Subsequent drug-disease intersection screening identified 29 core genes, and PPI network and MCODE analysis targeted key nodes such as BUB1, CCNA2, CDK1, etc. TCGA data confirmed that BUB1 was highly expressed in esophageal cancers (p < 0.001) but had no correlation with TNM stage progression. The results showed inhibition of BUB1 protein expression, reduction of clone formation, significant reduction of scratch healing rate and Transwell migration number in the si-BUB1 group (p < 0.01). CONCLUSIONS: This study revealed the important role of BUB1, one of the potential targets of 5-FU, in the development of esophageal cancer. Through bioinformatics analysis and experimental validation, we found that the high expression of BUB1 in esophageal cancer tissues was closely related to the biological properties of the tumor. the regulation of cell cycle by BUB1 and its role in the invasion and migration ability of the cells marked its potential as a new target for the treatment of esophageal cancer.
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Next, BUB1 was used as the target, and the Wilcoxon rank-sum test was used to compare the expression differences between tumor tissues and normal tissues, as well as the mRNA expression differences in different clinical stages (T, N, M, and stage).
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sections[10] "Quantitative mRNA analysis based on the cancer genome atlas esophageal cancer dataset (TCGA-ESCA)" paragraph 2
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Next, BUB1 was used as the target, and the Wilcoxon rank-sum test was used to compare the expression differences between tumor tissues and normal tissues, as well as the mRNA expression differences in different clinical stages (T, N, M, and stage).
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All data are provided within the manuscript and supporting files.All data used in this study were obtained from publicly available datasets, specifically as follows: The 5-fluorouracil (5-FU) predicted target gene sets were sourced from the SwissTargetPrediction database (http://www.swisstargetprediction.ch/) and the TargetNet database (http://targetnet.scbdd.com/home/index/).The esophageal cancer gene set for differential expression analysis was obtained from GEO database entry GSE17351 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi? acc=GSE17351).Protein interaction network analysis data originated from the STRING database (https://string-db.org/), with the protein molecular network subsequently constructed using Cytoscape.The single-cell sequencing dataset comparing esophageal cancer with adjacent normal tissue was obtained from GEO database entry GSE196756 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196756).
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All data are provided within the manuscript and supporting files.All data used in this study were obtained from publicly available datasets, specifically as follows: The 5-fluorouracil (5-FU) predicted target gene sets were sourced from the SwissTargetPrediction database (http://www.swisstargetprediction.ch/) and the TargetNet database (http://targetnet.scbdd.com/home/index/).The esophageal cancer gene set for differential expression analysis was obtained from GEO database entry GSE17351 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi? acc=GSE17351).Protein interaction network analysis data originated from the STRING database (https://string-db.org/), with the protein molecular network subsequently constructed using Cytoscape.The single-cell sequencing dataset comparing esophageal cancer with adjacent normal tissue was obtained from GEO database entry GSE196756 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196756).
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All data are provided within the manuscript and supporting files.All data used in this study were obtained from publicly available datasets, specifically as follows: The 5-fluorouracil (5-FU) predicted target gene sets were sourced from the SwissTargetPrediction database (http://www.swisstargetprediction.ch/) and the TargetNet database (http://targetnet.scbdd.com/home/index/).The esophageal cancer gene set for differential expression analysis was obtained from GEO database entry GSE17351 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi? acc=GSE17351).Protein interaction network analysis data originated from the STRING database (https://string-db.org/), with the protein molecular network subsequently constructed using Cytoscape.The single-cell sequencing dataset comparing esophageal cancer with adjacent normal tissue was obtained from GEO database entry GSE196756 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196756).
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Complete file
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It is also a major cause of global cancer burden, and as a malignant tumor with high mortality and poor prognosis, its 5-year survival rate is less than 25%; currently, surgical resection, radiotherapy and chemotherapy are the main clinical treatments for esophageal cancer. However, conventional treatment outcomes are unsatisfactory, and only a limited number of individuals are able to achieve lasting benefits due to the elusive chemoresistance. Newly developed targeted therapies for esophageal cancer have been available over the past few decades, but have not had a meaningful clinical impact, resulting in minimal improvement in patient survival. Nevertheless, scientists still believe that novel treatments for esophageal cancer hold great promise, and it is therefore important to identify new drug targets from existing chemotherapy regimens for new drug development.\nMETHODS: In this study, we screened potential targets of 5-FU by a multi-omics approach: predicting drug-acting genes based on PubChem, CTD, SwissTargetPrediction and TargetNet databases; differential expression analysis and pathway enrichment of esophageal cancer using GEO dataset GSE17351, and constructing a co-expression network by WGCNA to analyze the clinical and gene module correlations. clinical and gene module correlation. Finally, cell subpopulation distribution was analyzed based on GSE196756 single-cell sequencing data. For the experimental validation part, the KYSE150/TE1 human esophageal cancer cell line was used, with an untreated control group (NC) and a si-BUB1 interference group (two independent siRNA sequences), and the BUB1 function was detected by Western blot, cell scratch/Transwell and clone formation assays.\nRESULTS: KEGG enrichment significantly associated with the p53/PI3K-Akt pathway. Differential analysis showed that genes such as MMP10 and MYBL2 were up-regulated and SLC6A1 was down-regulated in esophageal cancer tissues, and GSEA based on the results of differential analysis suggested activation of the cancer cell cycle/DNA replication pathway. Subsequent drug-disease intersection screening identified 29 core genes, and PPI network and MCODE analysis targeted key nodes such as BUB1, CCNA2, CDK1, etc. TCGA data confirmed that BUB1 was highly expressed in esophageal cancers (p < 0.001) but had no correlation with TNM stage progression. The results showed inhibition of BUB1 protein expression, reduction of clone formation, significant reduction of scratch healing rate and Transwell migration number in the si-BUB1 group (p < 0.01).\nCONCLUSIONS: This study revealed the important role of BUB1, one of the potential targets of 5-FU, in the development of esophageal cancer. Through bioinformatics analysis and experimental validation, we found that the high expression of BUB1 in esophageal cancer tissues was closely related to the biological properties of the tumor. the regulation of cell cycle by BUB1 and its role in the invasion and migration ability of the cells marked its potential as a new target for the treatment of esophageal cancer.", "claims": [{"id": "claim-method", "statement": "Next, BUB1 was used as the target, and the Wilcoxon rank-sum test was used to compare the expression differences between tumor tissues and normal tissues, as well as the mRNA expression differences in different clinical stages (T, N, M, and stage).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41618008", "locator": "sections[10] \"Quantitative mRNA analysis based on the cancer genome atlas esophageal cancer dataset (TCGA-ESCA)\" paragraph 2", "quote": "Next, BUB1 was used as the target, and the Wilcoxon rank-sum test was used to compare the expression differences between tumor tissues and normal tissues, as well as the mRNA expression differences in different clinical stages (T, N, M, and stage)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data are provided within the manuscript and supporting files.All data used in this study were obtained from publicly available datasets, specifically as follows: The 5-fluorouracil (5-FU) predicted target gene sets were sourced from the SwissTargetPrediction database (http://www.swisstargetprediction.ch/) and the TargetNet database (http://targetnet.scbdd.com/home/index/).The esophageal cancer gene set for differential expression analysis was obtained from GEO database entry GSE17351 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi? acc=GSE17351).Protein interaction network analysis data originated from the STRING database (https://string-db.org/), with the protein molecular network subsequently constructed using Cytoscape.The single-cell sequencing dataset comparing esophageal cancer with adjacent normal tissue was obtained from GEO database entry GSE196756 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196756).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41618008", "locator": "sections[28] \"Data availability\" paragraph 2", "quote": "All data are provided within the manuscript and supporting files.All data used in this study were obtained from publicly available datasets, specifically as follows: The 5-fluorouracil (5-FU) predicted target gene sets were sourced from the SwissTargetPrediction database (http://www.swisstargetprediction.ch/) and the TargetNet database (http://targetnet.scbdd.com/home/index/).The esophageal cancer gene set for differential expression analysis was obtained from GEO database entry GSE17351 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi? acc=GSE17351).Protein interaction network analysis data originated from the STRING database (https://string-db.org/), with the protein molecular network subsequently constructed using Cytoscape.The single-cell sequencing dataset comparing esophageal cancer with adjacent normal tissue was obtained from GEO database entry GSE196756 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE196756)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "This study revealed the important role of BUB1, one of the potential targets of 5-FU, in the development of esophageal cancer.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41618008", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "This study revealed the important role of BUB1, one of the potential targets of 5-FU, in the development of esophageal cancer."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "This study revealed the important role of BUB1, one of the potential targets of 5-FU, in the development of esophageal cancer.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41618008"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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Western blot analysis shows that transfection with two independent BUB1-targeting siRNAs (", "n levels of both BUB1 and Cyclin B1.(B) BUB1 knockdown specifically reduced the level of phosphoryl"], "order_basis": "paper_text_order:1848", "id": "assay:1"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["nces), and the BUB1 function was detected by Western blot, cell scratch/Transwell and clone formation", "evels following targeted inhibition of BUB1. Western blot analysis shows that transfection with two in"], "order_basis": "paper_text_order:1903", "id": "assay:2"}, {"role": "data_generation", "definition_id": "apoptosis_assay", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["d to 5-FU effects were mainly focused on the apoptosis regulation and oxidative stress, and the ana", "1D), among which the p53 signaling pathway, apoptosis, and the PI3K-Akt signaling pathway may play"], "order_basis": "paper_text_order:5435", "id": "assay:3"}, {"role": "analysis", "definition_id": "group_comparison", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["Next, BUB1 was used as the target, and the Wilcoxon rank-sum test was used to compare the expression differences between tumor tissues and normal tissues, as well as the mRNA expression differences in different clinical stages (T, N, M, and stage)."], "order_basis": "consumes_earlier_output", "id": "assay:4"}]}