Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer

Zhang, Meng; Zhou, Zhou; Pan, Xuekai; Zhou, Yunjiao; Li, Haiou; Qiu, Peishan; Zhang, Mengna; Peng, Ruyi; Wang, Haizhou; Liu, Lan; Liu, Jing; Zhao, Qiu

doi:10.1186/s12935-020-01604-1

Cited by 3 publications

(2 citation statements)

References 48 publications

(54 reference statements)

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“…For example, NEO1 expression levels decline as CRC advances, and low expression levels are linked to a poor prognosis, indicating the possibility of NEO1 as a prognostic marker (22). Furthermore, functional studies further highlighted the significance of NEO1 overexpression in therapeutic intervention by demonstrating that it suppressed the proliferation, migration, and invasion of CRC cells.…”

Section: Discussionmentioning

confidence: 99%

<i>SPINK4 </i>modulates inhibition of glycolysis against colorectal cancer progression

Yang,

Jiang,

Yuan

et al. 2024

Biomol Biomed

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Dysregulation of glycolysis is frequently linked to aggressive tumor activity in colorectal cancer (CRC). Although serine peptidase inhibitor, Kazal type 4 (SPINK4) has been linked to CRC, its exact linkage to glycolytic processes and gene expression remains unclear. Differentially expressed genes (DEGs) were screened from two CRC-related datasets (GSE32323 and GSE141174), followed by expression and prognostic analysis of SPINK4. In vitro techniques such as flow cytometry, western blotting, transwell assay, and quantitative real-time polymerase chain reaction (qRT-PCR) were used to assess SPINK4 expression in CRC cells. Its effects on apoptosis, glycolysis, and the cell cycle were also investigated. Finally, the impact of SPINK4 overexpression on tumor development was assessed using a xenograft model, while histological and immunohistochemical analyses characterized SPINK4 expression patterns in CRC tissues. SPINK4 expression was downregulated in CRC, correlating with poor patient prognosis. In vitro assays confirmed that overexpression of SPINK4 reduced CRC cell proliferation, invasion, and migration, while its knockdown promoted these processes and caused G1 arrest. SPINK4 also regulated apoptosis by altering caspase activation and Bcl-2 expression. Besides, SPINK4 overexpression altered glycolytic activity, reduced 2-Deoxy-D-glucose (2-DG) absorption, and controlled critical glycolytic enzymes, resulting in alterations in metabolic pathways, whereas SPINK4 knockdown reversed this effect. SPINK4 overexpression significantly reduced tumor volume in vivo, indicating its inhibitory role in carcinogenesis. Moreover, high expression of SPINK4, hexokinase 2 (HK2), glucose transporter 1 (GLUT1), lactate dehydrogenase A (LDHA), and pyruvate kinase M2 (PKM2) was observed in CRC tissues. As a key inhibitor of glycolytic metabolism in CRC, SPINK4 promises metabolic intervention in CRC therapy due to its impact on tumor growth and cell proliferation.

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Section: Discussionmentioning

confidence: 99%

<i>SPINK4 </i>modulates inhibition of glycolysis against colorectal cancer progression

Yang,

Jiang,

Yuan

et al. 2024

Biomol Biomed

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“…Neogenin-1 (NEO1), which is a tumor suppressor gene was identified to be correlated with CRC progression. NEO1 mRNA gene expression was significantly reduced in CRC tumor tissues than in the adjacent tissues of clinical samples 7 . The overexpression of interleukin-6 (IL-6) is associated with the relapse of Feature selection and prognostic model development.…”

mentioning

confidence: 89%

Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta

Maurya

Kushwah

Kushwaha

et al. 2023

Sci Rep

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Colorectal cancer (CRC) is the third most prevalent cancer type and accounts for nearly one million deaths worldwide. The CRC mRNA gene expression datasets from TCGA and GEO (GSE144259, GSE50760, and GSE87096) were analyzed to find the significant differentially expressed genes (DEGs). These significant genes were further processed for feature selection through boruta and the confirmed features of importance (genes) were subsequently used for ML-based prognostic classification model development. These genes were analyzed for survival and correlation analysis between final genes and infiltrated immunocytes. A total of 770 CRC samples were included having 78 normal and 692 tumor tissue samples. 170 significant DEGs were identified after DESeq2 analysis along with the topconfects R package. The 33 confirmed features of importance-based RF prognostic classification model have given accuracy, precision, recall, and f1-score of 100% with 0% standard deviation. The overall survival analysis had finalized GLP2R and VSTM2A genes that were significantly downregulated in tumor samples and had a strong correlation with immunocyte infiltration. The involvement of these genes in CRC prognosis was further confirmed on the basis of their biological function and literature analysis. The current findings indicate that GLP2R and VSTM2A may play a significant role in CRC progression and immune response suppression.

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Predictive capacity for local disease control of neogenin-1 (NEO1) transcriptional expression in patients with head and neck squamous cell carcinoma

León,

Valero,

Fuster

et al. 2024

Clin Transl Oncol

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Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer

Cited by 3 publications

References 48 publications

<i>SPINK4 </i>modulates inhibition of glycolysis against colorectal cancer progression

<i>SPINK4 </i>modulates inhibition of glycolysis against colorectal cancer progression

Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta

Predictive capacity for local disease control of neogenin-1 (NEO1) transcriptional expression in patients with head and neck squamous cell carcinoma

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