Pan-Cancer and Single-Cell Analysis Reveals CENPL as a Cancer Prognosis and Immune Infiltration-Related Biomarker

Feng, Ziyang; Chen, Yu; Cai, Changjing; Tan, Jun; Liu, Ping; Chen, Yihong; Shen, Hong; Zeng, Shan; Han, Ying

doi:10.3389/fimmu.2022.916594

Cited by 17 publications

(13 citation statements)

References 27 publications

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“…And immune infiltrating cells in TME are closely related to the improvement of diagnosis and treatment (Liu et al, 2021;Feng et al, 2022). Considering that the up regulation of NAA50 expression level in pan-cancer was related to short OS, we speculate that NAA50 may participate in tumor immune response.…”

Section: Discussionmentioning

confidence: 87%

Pan-cancer analysis reveals NAA50 as a cancer prognosis and immune infiltration-related biomarker

Fang

Wang²,

Li³

et al. 2022

Front. Genet.

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Background: N-Alpha-Acetyltransferase 50 (NAA50) has acetyltransferase activity and is important for chromosome segregation. However, the function and mechanism of NAA50 expression in cancer development was still unclear. Here, we systematically researched the function and mechanism of NAA50 in pan-cancer, and further verified the results of NAA50 in lung adenocarcinoma (LUAD).Methods: In this study, using the online databases TIMER2.0, SangerBox3.0, HPA, UCSC, GEPIA, cBioPortal, UALCAN, TISIDB, CancerSEA and LinkedOmics, we focused on the relevance between NAA50 and oncogenesis, progression, methylation, immune infiltration, function and prognosis. In addition, the proliferation of cells was detected by CCK-8 and Edu assay. Finally, we analyzed the relationship between the expression of NAA50 and cell cycle related proteins.Results: Pan-cancer analysis indicated that NAA50 was overexpressed in most cancers. And there was a significant correlation between NAA50 expression and the prognosis of cancer patients. In the meantime, NAA50 gene changes occur in a variety of tumors. Compared with normal tissues, the methylation level of NAA50 promoter increased in most cancer tissues. In addition, the results exhibited that in most cancers, NAA50 was significantly positively correlated with bone myeloid-derived suppressor cell (MDSC) infiltration and negatively correlated with T cell NK infiltration. Moreover, functional enrichment indicated that NAA50 regulates cell cycle and proliferation in LUAD. In vitro experiments testified that knockout of NAA50 could significantly inhibit the proliferation of LUAD.Conclusion: NAA50 may be a potential biomarker and oncogene of pan-cancer, especially LUAD, which may promote the occurrence and development of tumors through different mechanisms. Furthermore, NAA50 was bound up with to immune cell infiltration in pan-cancer, meaning NAA50 may be an important therapeutic target for human cancers.

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Section: Discussionmentioning

confidence: 87%

Pan-cancer analysis reveals NAA50 as a cancer prognosis and immune infiltration-related biomarker

Fang

Wang²,

Li³

et al. 2022

Front. Genet.

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“…There is evidence that some genes within the CENP are associated with immune cells found in tumors. Studies have shown a negative correlation between CENPL and T and NK cell in ltration [31]. Furthermore, the expression of CENPA positively correlated with that of Th2 cells, macrophages, eosinophils, DC cells, neutrophils, and T cells [32].…”

Section: Discussionmentioning

confidence: 93%

Significance of centromere protein genes and their associated immune and metabolic differences in the prediction of prognosis and treatment outcome in breast cancer

Yang

Yan

Liu

et al. 2022

Preprint

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Background: Genes of the centromere protein (CENP) are involved in the kinetochore assembly during mitosis. The expression of some CENPgenes has been associated with various carcinogenesis and development. However, it is unclear whether abnormal expression of CENP genes as a unit affects the clinical outcome, immune cell infiltration, and immunotherapy of breast cancer (BRCA) patients. Methods: We systematically evaluated CENP genes and comprehensively determined the correlation between high and low expression and prognosis, staging, malignant phenotype, and drug sensitivity of BRCA. The correlation between CENP genes and immune cell infiltration was comprehensively determined. Further screening for immune- and metabolic-related hub genes was used to quantify subtypes of patients. Then, we evaluated their value in prognosis prediction and treatment response to BRCA. The correlation between CENP genes and drug resistance was also determined by sequencing the tissues of patients. Single-cell sequencing to further analyze CENP genes expression in metastatic cancer. Results: The CENP genes were significantly differentially expressed in BRCA compared to para-cancer. Highly expressed CENP genes had a poor prognosis, late stage, and a high proportion of malignant phenotypes. We identified high and low CENPclusters and observed that high expression was associated with poor prognosis, high immune escape, and reduced drug sensitivity in patients. Afterward, we screened immune- and metabolic-related hub genes and predicted the prognosis of BRCA patients based on them. Furthermore, CENP genes were elevated in drug-resistant breast cancer tissues and metastatic breast cancer tissues. Conclusion: Collectively, we determined the prognostic impact of the CENP genes on BRCA patients. Furthermore, by further screening the hub genes to subgroup breast cancer patients to predict prognosis and to be able to explore more effective treatment strategies based on the expression of CENP genes.

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“…Centromere protein L(CENPL) is a member of Centromere protein(CENP) family and plays important roles in regulating cell division. CENPs are crucial members of the centromere and kinetochore, which determine the separation of chromosomes during mitosis and meiosis [21]. Multiple studies have conformed several CENPs are abnormally expressed in breast, esophageal, bladder, lung and hepatocellular carcinomas and are associated with the prognosis [22].…”

Section: Discussionmentioning

confidence: 99%

Role of CENPL, DARS2 and PAICS in determining the prognosis in patients with lung adenocarcinoma

Xu,

Zhao,

Wang

et al. 2023

Preprint

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Purpose Nonsmall cell lung cancer (NSCLC) accounts for about 85% of lung cancer cases and is the leading cause of tumor-related death, of which Lung adenocarcinoma (LUAD) is the most prevalent histological subtype. At present, the prognosis of LUAD remains poor due to local recurrence and distant metastasis. This study aims to explore the key prognostic biomarkers and investigate the underlying mechanism. Methods GDC TCGA Lung adenocarcinoma (Data Release 18.0, July 8, 2019) was downloaded from the UCSC Xena browser. The dataset of GSE72094 and GSE13213 and the corresponding clinical information were downloaded from GEO database. By analyzing above datasets through DESeq2 R package and Limma R package, differentially expressed genes (DEGs) were found. GO and KEGG analysis were used to analyze the possible enrichment pathways of these DEGs. the protein-protein interaction network was constructed to explore the possible relationship among these DEGs using the STRING database. Survival analysis was performed to identify reliable prognostic genes using Kaplan-Meier method. Multi-omics analysis of the prognostic genes was performed using the GSCA. TIMER database was used to analyze the association of the prognostic genes with immune infiltration. Spearman correlation analysis was conducted to research the correlation between the prognostic genes and drug sensitivity. The multivariate Cox regression was used to identify the independent prognostic factor of LUAD. Finally, a nomogram was constructed using the rms R package . Results Firstly, we screened out 30 DEGs which may be associated with tumor progression. Functional enrichment analysis and PPI network were conducted to reveal the potential enrichment pathways and interactions of these DEGs. Secondly, survival analysis revealed that the expression of CENPL, DARS2 and PAICS was negatively correlated with prognosis of LUAD patients. Multi-omics analysis further disclosed that CENPL, DARS2 and PAICS expressions were significantly higher in LUAD. CENPL, DARS2 and PAICS were all high-expressed in the late groups and M1 stage of LUAD. The correlation analysis indicated that CENPL, DARS2 and PAICS may not be associated with activation or suppression of immune cells. Drug sensitivity analysis for CENPL, DARS2 and PAICS revealed many potentially effective drugs and small molecule compounds. Finally, we successfully constructed a robust and stable nomogram by combining the expression of DARS2 and PAICS with other clinicopathological variables. Conclusion CENPL, DARS2 and PAICS expressions were negatively correlated with LUAD prognosis. The prognostic model including DARS2 and PAICS with other clinicopathological variables could effectively predict prognosis.

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Pan-Cancer and Single-Cell Analysis Reveals CENPL as a Cancer Prognosis and Immune Infiltration-Related Biomarker

Cited by 17 publications

References 27 publications

Pan-cancer analysis reveals NAA50 as a cancer prognosis and immune infiltration-related biomarker

Pan-cancer analysis reveals NAA50 as a cancer prognosis and immune infiltration-related biomarker

Significance of centromere protein genes and their associated immune and metabolic differences in the prediction of prognosis and treatment outcome in breast cancer

Role of CENPL, DARS2 and PAICS in determining the prognosis in patients with lung adenocarcinoma

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