USP20 is a predictor of poor prognosis in colorectal cancer and associated with lymph node metastasis, immune infiltration and chemotherapy resistance
Title: | USP20 is a predictor of poor prognosis in colorectal cancer and associated with lymph node metastasis, immune infiltration and chemotherapy resistance |
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Authors: | RuiRi Jin, ZhiPeng Luo, Jun-Li, Qing Tao, Peng Wang, XueSheng Cai, LongZhou Jiang, ChunYan Zeng, YouXiang Chen |
Source: | Frontiers in Oncology, Vol 13 (2023) |
Publisher Information: | Frontiers Media S.A., 2023. |
Publication Year: | 2023 |
Collection: | LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
Subject Terms: | colorectal cancer (CRC), ubiquitin specific peptidase 20 (USP20), lymph node metastasis, infiltrating immune, bioinformatics analysis, predictive models, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
More Details: | BackgroundColorectal cancer (CRC) is a highly prevalent malignancy with a poor prognosis. USP20 can support progression of variety of tumors. USP20 was shown to promote breast tumor metastasis, and proliferation of oral squamous carcinoma cells. However, the role of USP20 in CRC remains unclear.MethodsWe used bioinformatics to analyze the expression and prognosis of USP20 in pan-cancer and explore the relationship between USP20 expression and immune infiltration, immune checkpoints, and chemotherapy resistance in CRC. The differential expression and prognostic role of USP20 in CRC was validated by qRT-PCR and immunohistochemistry. Cox univariate and multivariate analyses were performed to assess risk factors for poor prognosis of CRC, and new prognostic prediction models were constructed and evaluated by decision curve analysis (ROC) and receiver operating characteristic (DCA). USP20 was overexpressed in CRC cell lines to explore the effect of USP20 on the functionalities of CRC cells. Enrichment analyses were used to explore the possible mechanism of USP20 in CRC.ResultsThe expression of USP20 was lower in CRC tissues than adjacent normal tissues. Compared with low USP20 expression patients, CRC patients with high USP20 expression level had shorter OS. Correlation analysis showed that USP20 expression was associated with lymph node metastasis. Cox regression analysis revealed USP20 as an independent risk factor for poor prognosis in CRC patients. ROC and DCA analyses showed that the performance of the newly constructed prediction model was better than the traditional TNM model. Immune infiltration analysis shown that USP20 expression is closely associated with T cell infiltration in CRC. A co-expression analysis showed that USP20 expression was positively correlated with several immune checkpoint genes including ADORA2A, CD160, CD27 and TNFRSF25 genes and positively associated with multiple multi-drug resistance genes such as MRP1, MRP3, and MRP5 genes. USP20 expression positively correlated with the sensitivity of cells to multiple anticancer drugs. Overexpression of USP20 enhanced the migration and invasive ability of CRC cells. Enrichment pathway analyses showed the USP20 may play a role via the Notch pathway, Hedgehog pathway and beta-catenin pathway.ConclusionUSP20 is downregulated in CRC and associated with prognosis in CRC. USP20 enhances CRC cells metastasis and is associated with immune infiltration, immune checkpoints, and chemotherapy resistance. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 2234-943X |
Relation: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1023292/full; https://doaj.org/toc/2234-943X |
DOI: | 10.3389/fonc.2023.1023292 |
Access URL: | https://doaj.org/article/df62af1e2e854f3f9d9414c03eb41f30 |
Accession Number: | edsdoj.f62af1e2e854f3f9d9414c03eb41f30 |
Database: | Directory of Open Access Journals |
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Tumors. Oncology. Including cancer and carcinogens – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22colorectal+cancer+%28CRC%29%22">colorectal cancer (CRC)</searchLink><br /><searchLink fieldCode="DE" term="%22ubiquitin+specific+peptidase+20+%28USP20%29%22">ubiquitin specific peptidase 20 (USP20)</searchLink><br /><searchLink fieldCode="DE" term="%22lymph+node+metastasis%22">lymph node metastasis</searchLink><br /><searchLink fieldCode="DE" term="%22infiltrating+immune%22">infiltrating immune</searchLink><br /><searchLink fieldCode="DE" term="%22bioinformatics+analysis%22">bioinformatics analysis</searchLink><br /><searchLink fieldCode="DE" term="%22predictive+models%22">predictive models</searchLink><br /><searchLink fieldCode="DE" term="%22Neoplasms%2E+Tumors%2E+Oncology%2E+Including+cancer+and+carcinogens%22">Neoplasms. Tumors. Oncology. Including cancer and carcinogens</searchLink><br /><searchLink fieldCode="DE" term="%22RC254-282%22">RC254-282</searchLink> – Name: Abstract Label: Description Group: Ab Data: BackgroundColorectal cancer (CRC) is a highly prevalent malignancy with a poor prognosis. USP20 can support progression of variety of tumors. USP20 was shown to promote breast tumor metastasis, and proliferation of oral squamous carcinoma cells. However, the role of USP20 in CRC remains unclear.MethodsWe used bioinformatics to analyze the expression and prognosis of USP20 in pan-cancer and explore the relationship between USP20 expression and immune infiltration, immune checkpoints, and chemotherapy resistance in CRC. The differential expression and prognostic role of USP20 in CRC was validated by qRT-PCR and immunohistochemistry. Cox univariate and multivariate analyses were performed to assess risk factors for poor prognosis of CRC, and new prognostic prediction models were constructed and evaluated by decision curve analysis (ROC) and receiver operating characteristic (DCA). USP20 was overexpressed in CRC cell lines to explore the effect of USP20 on the functionalities of CRC cells. Enrichment analyses were used to explore the possible mechanism of USP20 in CRC.ResultsThe expression of USP20 was lower in CRC tissues than adjacent normal tissues. Compared with low USP20 expression patients, CRC patients with high USP20 expression level had shorter OS. Correlation analysis showed that USP20 expression was associated with lymph node metastasis. Cox regression analysis revealed USP20 as an independent risk factor for poor prognosis in CRC patients. ROC and DCA analyses showed that the performance of the newly constructed prediction model was better than the traditional TNM model. Immune infiltration analysis shown that USP20 expression is closely associated with T cell infiltration in CRC. A co-expression analysis showed that USP20 expression was positively correlated with several immune checkpoint genes including ADORA2A, CD160, CD27 and TNFRSF25 genes and positively associated with multiple multi-drug resistance genes such as MRP1, MRP3, and MRP5 genes. USP20 expression positively correlated with the sensitivity of cells to multiple anticancer drugs. Overexpression of USP20 enhanced the migration and invasive ability of CRC cells. Enrichment pathway analyses showed the USP20 may play a role via the Notch pathway, Hedgehog pathway and beta-catenin pathway.ConclusionUSP20 is downregulated in CRC and associated with prognosis in CRC. 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RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fonc.2023.1023292 Languages: – Text: English Subjects: – SubjectFull: colorectal cancer (CRC) Type: general – SubjectFull: ubiquitin specific peptidase 20 (USP20) Type: general – SubjectFull: lymph node metastasis Type: general – SubjectFull: infiltrating immune Type: general – SubjectFull: bioinformatics analysis Type: general – SubjectFull: predictive models Type: general – SubjectFull: Neoplasms. Tumors. Oncology. Including cancer and carcinogens Type: general – SubjectFull: RC254-282 Type: general Titles: – TitleFull: USP20 is a predictor of poor prognosis in colorectal cancer and associated with lymph node metastasis, immune infiltration and chemotherapy resistance Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: RuiRi Jin – PersonEntity: Name: NameFull: ZhiPeng Luo – PersonEntity: Name: NameFull: Jun-Li – PersonEntity: Name: NameFull: Qing Tao – PersonEntity: Name: NameFull: Peng Wang – PersonEntity: Name: NameFull: XueSheng Cai – PersonEntity: Name: NameFull: LongZhou Jiang – PersonEntity: Name: NameFull: ChunYan Zeng – PersonEntity: Name: NameFull: YouXiang Chen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 2234943X Numbering: – Type: volume Value: 13 Titles: – TitleFull: Frontiers in Oncology Type: main |
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