The Indication of Poor Prognosis by High Expression of ENO1 in Squamous Cell Carcinoma of the Lung

Huang, Wanying; Chen, Gang; Chen, Shangwei; Dang, Yi‐Wu; Deng, Yun; Zhou, Hua-Fu; Kong, Jinliang; Zhang, Yu; Mo, Junxian; Li, Changbo; He, Juan

doi:10.1155/2021/9910962

Cited by 4 publications

(3 citation statements)

References 37 publications

(75 reference statements)

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“…Furthermore, True Positive (TP), False Positive (FP), False Negative (FN), and True Negative (TN) were obtained to summarize the results of diagnostic analysis and calculate the SEN, SPEC, negative likelihood ratio (NLR), positive likelihood ratio (PLR), and diagnostic odds ratio (DOR). Finally, the summary receiver operating characteristic (SROC) curve was drawn to obtain the area under the curve (AUC) of SROC according to previous reports ( Gao et al, 2021 ; He et al, 2021 ; Huang W. Y. et al, 2021 ; Liang et al, 2021a , b ).…”

Section: Methodsmentioning

confidence: 99%

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Upregulation of CCNB2 and Its Perspective Mechanisms in Cerebral Ischemic Stroke and All Subtypes of Lung Cancer: A Comprehensive Study

Yan

Chen

et al. 2022

Front. Integr. Neurosci.

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Cyclin B2 (CCNB2) belongs to type B cell cycle family protein, which is located on chromosome 15q22, and it binds to cyclin-dependent kinases (CDKs) to regulate their activities. In this study, 103 high-throughput datasets related to all subtypes of lung cancer (LC) and cerebral ischemic stroke (CIS) with the data of CCNB2 expression were collected. The analysis of standard mean deviation (SMD) and summary receiver operating characteristic (SROC) reflecting expression status demonstrated significant up-regulation of CCNB2 in LC and CIS (Lung adenocarcinoma: SMD = 1.40, 95%CI [0.98–1.83], SROC = 0.92, 95%CI [0.89–0.94]. Lung squamous cell carcinoma: SMD = 2.56, 95%CI [1.64–3.48]. SROC = 0.97, 95%CI [0.95–0.98]. Lung small cell carcinoma: SMD = 3.01, 95%CI [2.01–4.01]. SROC = 0.98, 95%CI [0.97–0.99]. CIS: SMD = 0.29, 95%CI [0.05–0.53], SROC = 0.68, 95%CI [0.63–0.71]). Simultaneously, protein-protein interaction (PPI) analysis indicated that CCNB2 is the hub molecule of crossed high-expressed genes in CIS and LC. Through Multiscale embedded gene co-expression network analysis (MEGENA), a gene module of CIS including 76 genes was obtained and function enrichment analysis of the CCNB2 module genes implied that CCNB2 may participate in the processes in the formation of CIS and tissue damage caused by CIS, such as “cell cycle,” “protein kinase activity,” and “glycosphingolipid biosynthesis.” Afterward, via single-cell RNA-seq analysis, CCNB2 was found up-regulated on GABAergic neurons in brain organoids as well as T cells expressing proliferative molecules in LUAD. Concurrently, the expression of CCNB2 distributed similarly to TOP2A as a module marker of cell proliferation in cell cluster. These findings can help in the field of the pathogenesis of LC-related CIS and neuron repair after CIS damage.

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Section: Methodsmentioning

confidence: 99%

“…Finally, the summary receiver operating characteristic (SROC) curve was drawn to obtain the area under the curve (AUC) of SROC according to previous reports (Gao et al, 2021;He et al, 2021;Huang W. Y. et al, 2021;Liang et al, 2021a,b).…”

Section: Differential Expression Of Cyclin B2 Between Cerebral Ischem...mentioning

confidence: 99%

Upregulation of CCNB2 and Its Perspective Mechanisms in Cerebral Ischemic Stroke and All Subtypes of Lung Cancer: A Comprehensive Study

Yan

Chen

et al. 2022

Front. Integr. Neurosci.

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“…All the tumor specimens were pathologically diagnosed with primary HCC, and the patients did not receive drug interventions before surgery. IHC staining was performed using the anti‐STAG1 antibody (Abcam Co., Ltd, ab246988) according to the procedure previously reported [ 31 , 32 , 33 , 34 ]. The dilution of the anti‐STAG1 antibody was 1 : 100.…”

Section: Methodsmentioning

confidence: 99%

A cohesin‐associated gene score may predict immune checkpoint blockade in hepatocellular carcinoma

Liu

Chen

et al. 2022

FEBS Open Bio

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Stromal antigen 1 (STAG1), a component of cohesion, is overexpressed in various cancers, but it is unclear whether it has a role in the transcriptional regulation of hepatocellular carcinoma (HCC). To test this hypothesis, here, we screened global HCC datasets and performed multiscale embedded gene co-expression network analysis to identify the potential functional modules of differentially expressed STAG1 co-expressed genes. The putative transcriptional targets of STAG1 were identified using chromatin immunoprecipitation followed by high-throughput DNA sequencing. The cohesin-associated gene score (CAGS) was quantified using the The Cancer Genome Atlas HCC cohort and single-sample gene set enrichment analysis. Distinct cohesin-associated gene patterns were identified by calculating the euclidean distance of each patient. We assessed the potential ability of the CAGS in predicting immune checkpoint blockade (ICB) treatment response using IMvigor210 and GSE78220 cohorts. STAG1 was upregulated in 3313 HCC tissue samples compared with 2692 normal liver tissue samples (standard mean difference = 0.54). A total of three cohesinassociated gene patterns were identified, where cluster 2 had a high TP53 mutated rate and a poor survival outcome. Low CAGS predicted a significant survival advantage but presaged poor immunotherapy response. Differentially expressed STAG1 co-expression genes were enriched in the mitotic cell cycle, lymphocyte activation, and blood vessel development. PDS5A and PDGFRA were predicted as the downstream transcriptional targets of STAG1. In summary, STAG1 is significantly upregulated in global HCC tissue samples and may participate in blood vessel development and the mitotic cell cycle. A cohesin-associated gene scoring system may have potential to predict the ICB response.Abbreviations CAG, cohesin-associated gene; CAGS, cohesin-associated genes scores; ChIP-seq, chromatin immunoprecipitation sequencing; CIBERSORT, cell type identification by estimating relative subsets of RNA transcripts; CR, complete remission; ESTIMATE, estimation of STromal and immune cells in MAlignant tumor tissue using expression data; HCC, hepatocellular carcinoma; ICB, immune checkpoint blockade; MEGENA, multiscale embedded gene co-expression network analysis; PD, progressive disease; PR, partial remission; SD, stable disease; SMD, standard mean difference; ssGSEA, single-sample gene set enrichment analysis; STAG1, stromal antigen 1; WGCNA, weighted gene co-expression network analysis.

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Comprehensive expression analysis reveals upregulated LUZP2 in prostate cancer tissues

Yang

et al. 2022

Electronic Journal of Biotechnology

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The Indication of Poor Prognosis by High Expression of ENO1 in Squamous Cell Carcinoma of the Lung

Cited by 4 publications

References 37 publications

Upregulation of CCNB2 and Its Perspective Mechanisms in Cerebral Ischemic Stroke and All Subtypes of Lung Cancer: A Comprehensive Study

Upregulation of CCNB2 and Its Perspective Mechanisms in Cerebral Ischemic Stroke and All Subtypes of Lung Cancer: A Comprehensive Study

A cohesin‐associated gene score may predict immune checkpoint blockade in hepatocellular carcinoma

Comprehensive expression analysis reveals upregulated LUZP2 in prostate cancer tissues

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