CDC25A is strongly associated with colorectal cancer stem cells and poor clinical outcome of patients

Manoochehri, Hamed; Asadi, Shafagh; Tanzadehpanah, Hamid; Sheykhhasan, Mohsen; Ghorbani, Masoud

doi:10.1016/j.genrep.2021.101415

Cited by 15 publications

(8 citation statements)

References 45 publications

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“…At this time, a method for analyzing and screening the PPI network provided by the systems biology method is fundamental, which principle is that miRNA preferentially regulates proteins that interact more than the average number of interactions with other proteins in the network. 7 Programmed cell death includes apoptosis and nonapoptotic death, just as necroptosis, pyroptosis, and autophagy. 8 Necroptosis is a recently identified death mode irrelevant to caspases, 9 associated with various human diseases, including inflammatory disorders, ischemic reperfusion injury, degenerative diseases, infectious, autoimmune diseases, and cancer.…”

Section: Introductionmentioning

confidence: 99%

A Novel Defined Necroptosis-Related miRNAs Signature for Predicting the Prognosis of Colon Cancer

Yang¹,

Lü²,

Wang³

et al. 2022

IJGM

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This study aims at exploring the relationship between necroptosis-related miRNAs and colon cancer prognosis. Methods: We downloaded the miRNA sequencing data from the TCGA, and eight differentially expressed necroptosis-related miRNAs were screened. Then, we used Cox regression analysis to establish a prediction model of necroptosis-related miRNA. Finally, the prognosis related miRNAs were used to predict the target genes, and functional analysis was used to explore the potential mechanism of these target genes. Results:The miRNA-seq data of 444 COAD cases were downloaded from TCGA. We identified 8 differentially expressed miRNAs (has-miR-16-5p, has-miR-141-3p, has-miR -148a-3p, has-miR-425-5p, has-miR-7-5p, has-miR-223-3p, has-miR-200a-5p, and has-miR -500a-3p), then Cox analysis was performed for determining eight-miRNA signature prognostic biomarkers with obviously different OS. The area under the curve (AUC) of receiver operating characteristic (ROC) curve for predicting 1-, 3-, and 5-year survival were 0.663, 0.653 and 0.639, respectively. The multivariate analysis also implied that the risk score was an independent prognostic factor considering other confounding factors (HR = 1.847, 95% CI = 1.197-2.848, P = 0.006). According to the Kaplan-Meier analysis, the expression of hsa-miR-500a-3p (P = 0.003), hsa-miR-16-5p (P = 0.004) and hsa-miR-148a-3p (P = 0.035) significantly affected OS outcomes. We predicted the target genes of these three miRNAs and then screened 10 hub genes (CCND1, SMAD3, SMAD2, CDK1, TGFB2, CDC25A, CHEK1, VEGFA, CCNE1, WEE1). In addition, CHEK1 was associated with the survival prognosis. Conclusion: Our study demonstrated that necroptosis is closely associated with colon cancer, and the model of eight necroptosis-related miRNAs are potentially useful prognostic biomarkers and therapeutic targets for colon cancer.

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Section: Introductionmentioning

confidence: 99%

A Novel Defined Necroptosis-Related miRNAs Signature for Predicting the Prognosis of Colon Cancer

Yang¹,

Lü²,

Wang³

et al. 2022

IJGM

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“… 28 , 29 For example, Manoochehri et al found that CDC25A is a key gene for the prognosis of colorectal cancer. 30 Khoei et al found that miR-299-5p is an important prognostic factor for a variety of tumors. 31 …”

Section: Discussionmentioning

confidence: 99%

Identification of Significant Modules and Targets of Xian-Lian-Jie-Du Decoction Based on the Analysis of Transcriptomics, Proteomics and Single-Cell Transcriptomics in Colorectal Tumor

Yu¹,

Chen²,

Lu³

et al. 2022

JIR

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Purpose Colorectal cancer (CRC) remains the third most common tumor worldwide. Ulcerative colitis (UC) could cause chronic inflammation and ulcers in the colon and rectum. UC is a risk factor for a high incidence of CRC, and the incidence of UC-associated CRC (UC-CRC) is still increasing. Chinese medicine prescription, Xian-Lian-Jie-Du decoction (XLJDD), has been proven its efficacy in some UC-CRC patients. However, the mechanism of XLJDD in treating UC-CRC remains unknown. This study aimed to investigate the mechanism of XLJDD in treating UC-CRC. Methods We constructed an AOM/DSS mouse model that could simulate the various stages of UC-CRC in humans. XLJDD and its 5 main components are used to treat the AOM/DSS model, respectively. With the power of high-throughput sequencing technology, we described the mechanism of XLJDD from transcriptomics, proteomics, and single-cell transcriptomics. Results Our results showed that XLJDD could effectively suppress the occurrence and development of colorectal tumors. Using the weighted correlation network analysis (WGCNA), several mRNA and protein modules that respond to XLJDD have been identified. Moreover, two essential genes, Mfsd2a and Ccdc85c, were caught our attention. They were prognostic markers in CRC patients, and their expression could be significantly modulated by XLJDD, showing their potential as effective targets of XLJDD. In addition, we also discovered that XLJDD could affect the cell composition of the colorectal tumor environment, especially in the infiltration of B cells. Conclusion We demonstrated that XLJDD could prevent the initiation and development of colorectal tumors by modulating the expression of Mfsd2a and Ccdc85c and reducing the infiltration of B cells in the tumor microenvironment of colorectal tumor.

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“…Biomarkers can be specific cells, molecules or genes, gene products, enzymes or hormones. They are targets for the development of novel therapeutics and can be used for disease diagnosis and monitoring the progression of the disease and its response to treatment 8,16 . In a recent study, we highlighted the biomarkers most associated with cerebral arteriovenous malformations and the rate of hemorrhage 17 …”

Section: Introductionmentioning

confidence: 99%

The role of key biomarkers in lymphatic malformation: An updated review

Modaghegh,

Tanzadehpanah,

Kamyar

et al. 2024

The Journal of Gene Medicine

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The lymphatic system, crucial for tissue fluid balance and immune surveillance, can be severely impacted by disorders that hinder its activities. Lymphatic malformations (LMs) are caused by fluid accumulation in tissues owing to defects in lymphatic channel formation, the obstruction of lymphatic vessels or injury to lymphatic tissues. Somatic mutations, varying in symptoms based on lesions' location and size, provide insights into their molecular pathogenesis by identifying LMs' genetic causes. In this review, we collected the most recent findings about the role of genetic and inflammatory biomarkers in LMs that control the formation of these malformations. A thorough evaluation of the literature from 2000 to the present was conducted using the PubMed and Google Scholar databases. Although it is obvious that the vascular endothelial growth factor receptor 3 mutation accounts for a significant proportion of LM patients, several mutations in other genes thought to be linked to LM have also been discovered. Also, inflammatory mediators like interleukin‐6, interleukin‐8, tumor necrosis factor‐alpha and mammalian target of rapamycin are the most commonly associated biomarkers with LM. Understanding the mutations and genes expression responsible for the abnormalities in lymphatic endothelial cells could lead to novel therapeutic strategies based on molecular pathways.

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CDC25A is strongly associated with colorectal cancer stem cells and poor clinical outcome of patients

Cited by 15 publications

References 45 publications

A Novel Defined Necroptosis-Related miRNAs Signature for Predicting the Prognosis of Colon Cancer

A Novel Defined Necroptosis-Related miRNAs Signature for Predicting the Prognosis of Colon Cancer

Identification of Significant Modules and Targets of Xian-Lian-Jie-Du Decoction Based on the Analysis of Transcriptomics, Proteomics and Single-Cell Transcriptomics in Colorectal Tumor

The role of key biomarkers in lymphatic malformation: An updated review

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