The prognostic value of decreased NDRG1 expression in patients with digestive system cancers

Chen, Kang; Liu, Xiaohong; Wang, Furong; Liu, Haipeng; Huang, Zhichao; Chen, Xiao

doi:10.1097/md.0000000000012455

Cited by 11 publications

(8 citation statements)

References 41 publications

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“…Indeed, both overall survival (OS) and cancer-free survival (CFS) are lower in CRC patients with low NDRG1 expression compared to those with high NDRG1 expression. This indicates that NDRG1 expression is positively linked to both OS and CFS in CRC patients. , As shown by the NDRG1 function and expression in CRC cells, regulation of NDRG1 expression can be a plausible way to treat CRC. Therefore, the effects of 1 on modulation of NDRG1 expression were evaluated in CRC cells.…”

Section: Resultsmentioning

confidence: 84%

“…N-myc downstream-regulated gene 1 (NDRG1) is an effective metastasis suppressor in a variety of cancer types . Evidence has demonstrated that cancer cell proliferation, cell-cycle regulation, apoptosis, and metastasis are related to NDRG1 expression. − NDRG1 expression has been significantly lower in various malignancies, including prostate, breast, and CRC. − Furthermore, NDRG1 overexpression inhibited CRC cell invasion and metastasis, and thus is negatively correlated with CRC prognosis. , One of the oncogenes most often overexpressed in human malignancies is c-Myc, and c-Myc transcription factor regulates several target genes in cell proliferation, growth, and transformation . Increased genomic instability, angiogenesis, and differentiation blockage have been correlated with the dysregulation of c-Myc.…”

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confidence: 99%

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Antitumor Activity of Piceamycin by Upregulation of N-Myc Downstream-Regulated Gene 1 in Human Colorectal Cancer Cells

et al. 2022

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Piceamycin (1), a macrocyclic lactam isolated from the silkworm's gut (Streptomyces sp. SD53 strain), reportedly possesses antibacterial activity. However, the potential anticancer activity and molecular processes underlying 1 have yet to be reported. Colorectal cancer (CRC) is high-risk cancer and accounts for 10% of all cancer cases worldwide. The high prevalence of resistance to radiation or chemotherapy means that patients with advanced CRC have a poor prognosis, with high recurrence and metastasis potential. Therefore, the present study investigated the antitumor effect and underlying mechanisms of 1 in CRC cells. The growth-inhibiting effect of 1 in CRC cells was correlated with the upregulation of a tumor suppressor, N-myc downstream-regulated gene 1 (NDRG1). Additionally, 1 induced G 0 /G 1 cell cycle arrest and apoptosis and inhibited the migration of CRC cells. Notably, 1 disrupted the interaction between NDRG1 and c-Myc in CRC cells. In a mouse model with HCT116-implanted xenografts, the antitumor activity of 1 was confirmed by NDRG1 modulation. Overall, these findings show that 1 is a potential candidate for CRC treatment through regulation of NDGR1-mediated functionality.

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Section: Resultsmentioning

confidence: 84%

mentioning

confidence: 99%

Antitumor Activity of Piceamycin by Upregulation of N-Myc Downstream-Regulated Gene 1 in Human Colorectal Cancer Cells

et al. 2022

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“…Digestive system tumors have high morbidity and mortality and account for a large proportion of all tumors[1,2]. It has been confirmed that some non-coding RNAs (ncRNAs) are engaged in the pathogenesis of digestive system tumors, and elucidating the role of these ncRNAs can help to understand the potential pathogenesis of digestive system tumors.…”

Section: Introductionmentioning

confidence: 99%

Role and mechanism of circ-PRKCI in hepatocellular carcinoma

Sun

Liu

et al. 2019

WJG

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BACKGROUND The circular RNA circ-PRKCI is an endogenous non-coding RNA that forms a covalently closed ring after reverse splicing, which plays a key role in the occurrence and development of multiple digestive system tumors. AIM To investigate the role and mechanism of circ-PRKCI in the occurrence and development of hepatocellular carcinoma (HCC). METHODS This study used real-time polymerase chain reaction to detect the expression of circ-PRKCI in tumor tissues, tumor adjacent tissues, and blood in patients with HCC and other digestive system tumor cells. A series of functional tests were performed to explore whether circ-PRKCI affects the growth of HCC cells and what is its mechanism in HCC. Meanwhile, fluorescence in situ hybridization was used to detect the subcellular localization of circ-PRKCI. Survival analysis was performed to predict the correlation between circ-PRKCI and the prognosis of HCC. Chi-square test and t -test were performed for statistical analyses. RESULTS The level of circ-PRKCI was significantly higher in HCC tissues than in tumor adjacent tissues, and in HCC cell lines than in cells lines of esophageal, liver, stomach, and colon cancers. A series of functional tests showed that circ-PRKCI substantially inhibited cell apoptosis and promoted cell invasion. It was found that circ-PRKCI can act as the sponge of miRNA-545 to reduce the expression of AKT3 protein. Moreover, the result of survival analysis showed that circ-PRKCI target gene E2F7 can reduce liver cancer patients’ survival rate. And clinical data suggested that the distribution of circ-PRKCI rose with the depth of invasion, lymph node metastasis, distant metastasis, and TNM stage, indicating that circ-PRKCI may affect the survival and prognosis of patients with HCC by regulating E2E7 . CONCLUSION This study explores the role and mechanism of circ-PRKCI in HCC, which provides a new research direction and theoretical basis for the treatment of HCC.

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“…Also, 2 cells in allergic disease could increase Hsp70, which was involved in pathogenesis [29]. N-myc downregulated 1 (NDRG1) was a tumor suppressor, which has been reported in various studies; it could attenuate NF-kB and TGF-b pathways in pancreatic cancer cells, and downregulated NDRG1 was related to increased proliferation, invasion, and migration of digestive cancers [30][31][32][33]. It additionally involves apoptosis, glycolytic, and lipid metabolism in cancer cells, and virus infection process was also related to NDRG1 [34][35][36][37][38][39][40].…”

Section: Discussionmentioning

confidence: 99%

Machine Learning for Building Immune Genetic Model in Hepatocellular Carcinoma Patients

Liu

Chen

2021

Journal of Oncology

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Background. Hepatocellular carcinoma (HCC) is the leading liver cancer with special immune microenvironment, which played vital roles in tumor relapse and poor drug responses. In this study, we aimed to explore the prognostic immune signatures in HCC and tried to construct an immune-risk model for patient evaluation. Methods. RNA sequencing profiles of HCC patients were collected from the cancer genome Atlas (TCGA), international cancer genome consortium (ICGC), and gene expression omnibus (GEO) databases (GSE14520). Differentially expressed immune genes, derived from ImmPort database and MSigDB signaling pathway lists, between tumor and normal tissues were analyzed with Limma package in R environment. Univariate Cox regression was performed to find survival-related immune genes in TCGA dataset, and in further random forest algorithm analysis, significantly changed immune genes were used to generate a multivariate Cox model to calculate the corresponding immune-risk score. The model was examined in the other two datasets with recipient operation curve (ROC) and survival analysis. Risk effects of immune-risk score and clinical characteristics of patients were individually evaluated, and significant factors were then used to generate a nomogram. Results. There were 52 downregulated and 259 upregulated immune genes between tumor and relatively normal tissues, and the final immune-risk model (based on SPP1, BRD8, NDRG1, KITLG, HSPA4, TRAF3, ITGAV and MAP4K2) can better differentiate patients into high and low immune-risk subpopulations, in which high score patients showed worse outcomes after resection ( p < 0.05 ). The differentially enriched pathways between the two groups were mainly about cell proliferation and cytokine production, and calculated immune-risk score was also highly correlated with immune infiltration levels. The nomogram, constructed with immune-risk score and tumor stages, showed high accuracy and clinical benefits in prediction of 1-, 3- and 5-year overall survival, which is useful in clinical practice. Conclusion. The immune-risk model, based on expression of SPP1, BRD8, NDRG1, KITLG, HSPA4, TRAF3, ITGAV, and MAP4K2, can better differentiate patients into high and low immune-risk groups. Combined nomogram, using immune-risk score and tumor stages, could make accurate prediction of 1-, 3- and 5-year survival in HCC patients.

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The prognostic value of decreased NDRG1 expression in patients with digestive system cancers

Cited by 11 publications

References 41 publications

Antitumor Activity of Piceamycin by Upregulation of N-Myc Downstream-Regulated Gene 1 in Human Colorectal Cancer Cells

Antitumor Activity of Piceamycin by Upregulation of N-Myc Downstream-Regulated Gene 1 in Human Colorectal Cancer Cells

Role and mechanism of circ-PRKCI in hepatocellular carcinoma

Machine Learning for Building Immune Genetic Model in Hepatocellular Carcinoma Patients

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