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

Yang, Zhenpeng; Lü, Shuai; Wang, Yuying; Tang, Huazhen; Wang, Bing; Sun, Xibo; Qu, Jinxiu; Rao, Benqiang

doi:10.2147/ijgm.s349624

Cited by 14 publications

(11 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its area under the ROC curve (AUC) for 1-year, 3-year and 5-year OS were 0.697, 0.711, and 0.737 ( Figure 3E ), respectively. The AUC for predicting 5-year OS is better than those reported by Huang et al (AUC = 0.724) ( Huang et al, 2021 ), Yang et al (AUC = 0.656) ( Yang et al, 2022 ), and Liu et al (AUC = 0.639) ( Liu et al, 2022 ). The 7-NRGs based risk score model was further validated in the independent GEO dataset (GSE39582).…”

Section: Resultscontrasting

confidence: 65%

“…For example, Huang et al found that a necroptosis-related miRNA risk signature consisting of seven miRNAs could be used to predict the prognosis of colon cancer patients ( Huang et al, 2021 ). Subsequently, Yang et al constructed a necroptosis-related miRNA signature for predicting colon cancer prognosis ( Yang et al, 2022 ). Later on, Liu et al proposed another model to predict the prognosis of colon cancer patients based on necroptosis-related lncRNAs( Liu et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of necroptosis-related gene signature to predict the prognosis of colon adenocarcinoma

Zhang²,

Chen³

2022

Front. Genet.

View full text Add to dashboard Cite

Colon adenocarcinoma (COAD) is a common malignancy and has a high mortality rate. However, the current tumor node metastasis (TNM) staging system is inadequate for prognostic assessment of COAD patients. Therefore, there is an urgent need to identify reliable biomarkers for the prognosis COAD patients. The aberrant expression of necroptosis-related genes (NRGs) is reported to be associated with tumorigenesis and metastasis. In the present work, we compared the expression profiles of NRGs between COAD patients and normal individuals. Based on seven differentially expressed NRGs, a risk score was defined to predict the prognosis of COAD patients. The validation results from both training and independent external cohorts demonstrated that the risk score is able to distinguish the high and low risk COAD patients with higher accuracies, and is independent of the other clinical factors. To facilitate its clinical use, by integrating the proposed risk score, a nomogram was built to predict the risk of individual COAD patients. The C-index of the nomogram is 0.75, indicating the reliability of the nomogram in predicting survival rates. Furthermore, two candidate drugs, namely dapsone and xanthohumol, were screed out and validated by molecular docking, which hold the potential for the treatment of COAD. These results will provide novel clues for the diagnosis and treatment of COAD.

show abstract

Section: Resultscontrasting

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Development of necroptosis-related gene signature to predict the prognosis of colon adenocarcinoma

Zhang²,

Chen³

2022

Front. Genet.

View full text Add to dashboard Cite

show abstract

“…Upon further research, we found that LINC00052 was mostly located in the cytoplasm and highly expressed in HNSCC tissues with poor prognosis, in line with past studies. hsa-miR-148a-3p, whose family has already been proven to be biomarkers closely related to hepatocellular carcinoma (HCC) 36 , colon adenocarcinoma (COAD) 37 , acute myeloid leukemia (AML) 38 , esophageal squamous cell carcinoma (ESCC) 39 and gastric cancer (GC) 40 , is directly linked to vascular invasion. Ashizawa et al indicated that Overexpression 41 .…”

Section: High Plau Expression May Be Related To the Tumor Immune Resp...mentioning

confidence: 99%

Identification of a novel ceRNA network related to prognosis and immunity in HNSCC based on integrated bioinformatic investigation

Liu

Hei²,

Zhang³

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Head and neck squamous cell carcinoma (HNSCC) is characterized by an immunosuppression environment and necessitates the development of new immunotherapy response predictors. The study aimed to build a prognosis-related competing endogenous RNA (ceRNA) network based on immune-related genes (IRGs) and analyze its immunological signatures. Differentially expressed IRGs were identified by bioinformatics analysis with Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and ImmPort databases. Finally, via upstream prognosis-related microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) prediction and co-expression analysis, we built an immune-related ceRNA network (LINC00052/hsa-miR-148a-3p/PLAU) related to HNSCC patient prognosis. CIBERSORT analysis demonstrated that there were substantial differences in 11 infiltrating immune cells in HNSCC, and PLAU was closely correlated with 10 type cells, including T cells CD8+ (R = − 0.329), T cells follicular helper (R = − 0.342) and macrophage M0 (R = 0.278). Methylation and Tumor Immune Dysfunction and Exclusion (TIDE) analyses revealed that PLAU upregulation was most likely caused by hypomethylation and that high PLAU expression may be associated with tumor immune evasion in HNSCC, respectively.

show abstract

“…The time-dependent ROC curve was based on the area under the ROC curve (AUC) to evaluate the prognostic value of the biomarkers [29]. In this study, AUC values ranged from 0 to 1, with an AUC of 0.5 indicating that the model has no predictive value and AUC of 0.5-1 indicating superior to random guesses and potential predictability [30,31]. Univariate and multivariate Cox regression analyses were also performed to determine whether the risk features could serve as an independent biomarker of OS in BRCA.…”

Section: Prognostic Models Of Necroptosis-related Mirnasmentioning

confidence: 99%

A prognostic signature of six necroptosis-related miRNAs for predicting the overall survival of breast cancer patients

2022

European Journal of Gynaecological Oncology

View full text Add to dashboard Cite

Breast cancer (BRCA) is the most frequent malignant disease and cause of death in females. Recent studies have uncovered the crucial roles of necroptosis-related miRNAs in diverse cancers, including BRCA. However, the significance of necroptosis-related miRNA in predicting the prognosis of BRCA remains largely undefined. This study aimed at constructing a miRNA risk signature related to necroptosis and a nomogram for estimating the prognosis of BRCA. The miRNA expression data and related clinical information were downloaded from the BRCA cohort (containing tissue samples from BRCA patients and normal para-cancer patients) of The Cancer Genome Atlas (TCGA) database. We analyzed the miRNA expression profile and screened the differentially expressed necroptosis-related miRNAs between BRCA and non-tumor samples. Then, a risk signature for BRCA patients was developed based on prognostic necroptosis-related miRNAs. The prognostic value of the risk signature was determined by Cox regression analysis. We also constructed a prognostic nomogram based on risk signature and clinicopathological characteristics, and evaluated its clinical potential using a calibration chart. Lastly, to identify potential therapeutic target for BRCA. Six necroptosis-related miRNAs (miR-141-3p, miR-148a-3p, miR-200a-5p, miR-223-3p, miR-425-5p, miR-7-5p) were differentially expressed between normal and BRCA tissues, including five upregulated miRNAs and one down-regulated miRNA. They were used to construct the risk signature. Receiver Operating Characteristic (ROC) curve analysis indicated that the risk signature had good sensitivity and specificity (2-year area under curve (AUC): 0.627; 3-year AUC: 0.647) and was an independent prognostic factor (univariate Cox regression: hazard ratio (HR) = 1.8066, 95% confidence interval (CI) (1.2867-2.5365), p < 0.05; multivariate Cox regression: HR = 1.5246, 95% CI (1.0830-2.1462), p < 0.05). Calibration chart showed that the nomogram had good accuracy for predicting the prognosis of BRCA patients. We also identified miR-223a-3p as a potential therapeutic target for BRCA. This study identified 6 promising necroptosis-related miRNAs, which were used to construct a signature model to predict BRCA patients' prognosis. Further, a nomogram based on risk signatures and clinicopathological characteristics was constructed and showed promising potential as an effective and individualized diagnostic tool.

show abstract

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

Cited by 14 publications

References 54 publications

Development of necroptosis-related gene signature to predict the prognosis of colon adenocarcinoma

Development of necroptosis-related gene signature to predict the prognosis of colon adenocarcinoma

Identification of a novel ceRNA network related to prognosis and immunity in HNSCC based on integrated bioinformatic investigation

A prognostic signature of six necroptosis-related miRNAs for predicting the overall survival of breast cancer patients

Contact Info

Product

Resources

About