Integrated Analysis Revealed the MicroRNA-Based Prognostic Predicting Signature for Papillary Renal Cell Carcinoma

Guan, Yu; Asan, Onur; Zhang, Tao; Gao, Sifan; Cao, Zichuan; Zhang, Meng; Liang, Chaozhao

doi:10.1089/dna.2019.5306

Cited by 3 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A nomogram based on AJCC staging in combination with other important clinical indicators has been widely applied as a convenient and effective tool to quantitatively predict survival time, and its accuracy and reliability have been validated in multiple cancers (32)(33)(34)(35). Our previous studies also identified novel prognosis-related biomarkers and established nomograms to predict the recurrence-free survival of patients with RCC (36)(37)(38). In the present study, we attempted to construct a prognostic nomogram for predicting the OS of patients with pRCC after nephrectomy for the first time by using readily available clinical data.…”

Section: Discussionmentioning

confidence: 99%

A novel nomogram and risk classification system predicting the overall survival of patients with papillary renal cell carcinoma after nephrectomy: A population-based study

Qiao

et al. 2022

Front. Public Health

Self Cite

View full text Add to dashboard Cite

BackgroundPapillary renal cell carcinoma (pRCC) is the largest histologic subtype of non-clear-cell RCC. To date, there is no reliable nomogram to predict the prognosis of patients with pRCC after nephrectomy. We aimed to first establish an effective nomogram to predict the overall survival (OS) of patients with pRCC after nephrectomy.MethodsA total of 3,528 eligible patients with pRCC after nephrectomy were identified from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. The patients were randomized into the training cohort (n = 2,472) and the validation cohort (n = 1,056) at a 7:3 ratio. In total, 122 real-world samples from our institute (titled the AHMU-pRCC cohort) were used as the external validation cohort. Univariate and subsequent multivariate Cox regression analyses were conducted to identify OS-related prognostic factors, which were further used to establish a prognostic nomogram for predicting 1-, 3-, and 5-year OS probabilities. The performance of the nomogram was evaluated by using the concordance index (C-index), receiver operating characteristic curve (ROC), calibration plot, and decision curve analysis (DCA).ResultsMultivariate Cox analysis showed that age, race, marital status, TNM stage, tumor size, and surgery were significant OS-related prognostic factors. A prognostic model consisting of these clinical parameters was developed and virtualized by a nomogram. High C-index and area under the ROC curve (AUC) values of the nomogram at 1, 3, and 5 years were found in the training, validation, and AHMU-pRCC cohorts. The calibration plot and DCA also showed that the nomogram had a satisfactory clinical application value. A risk classification system was established to risk-stratify patients with pRCC.ConclusionBased on a large cohort from the public SEER database, a reliable nomogram predicting the OS of patients with pRCC after nephrectomy was constructed, which could optimize the survival assessment and clinical treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

A novel nomogram and risk classification system predicting the overall survival of patients with papillary renal cell carcinoma after nephrectomy: A population-based study

Qiao

et al. 2022

Front. Public Health

Self Cite

View full text Add to dashboard Cite

show abstract

“… 19 Another study revealed miR-3199 can be used in building the overall survival-related signature for papillary renal cell carcinoma. 20 In colorectal cancer, miR-3199 was screened as a downregulated DEmiRNA. 21 As common differentially expressed lncRNA and miRNA in colon cancer, 22 , 23 the functions and functional mechanism of LINC01006 and miR-3199 in colon cancer have not been revealed.…”

Section: Introductionmentioning

confidence: 99%

LINC01006 and miR-3199 Serve as Novel Markers of Poor Prognosis in Colon Cancer and Regulate Cell Proliferation, Migration and Invasion

Wu¹,

Yu²,

et al. 2022

IJGM

View full text Add to dashboard Cite

Purpose Colon cancer is the most commonly diagnosed gastrointestinal cancer. This research intended to evaluate the prognostic values of LINC01006 and miR-3199 for colon cancer and their effects on cell physiology. Patients and Methods LINC01006 and miR-3199 expression levels were determined by RT-qPCR. Patients’ 5-year cumulative survival rate was analyzed by Kaplan–Meier curves with the Log rank test. Chi-square test and multivariate Cox regression analysis were used to access the clinical significance. CCK-8 assay, transwell assay, and TUNEL assays were used to monitor the change of cell proliferation, invasion, migration, and apoptosis. Results The expression level of LINC01006 was increased while miR-3199 was decreased in colon tissues and cells compared to normal ones. This dysregulated expression was correlated with T stage ( P = 0.002) and N stage ( P = 0.009). High LINC01006 level (HR = 4.048, 95%: 1.502–10.911, P = 0.006) or low miR-3199 level (HR = 3.421, 95% CI: 1.254–9.330, P = 0.016) was outstanding for predicting poor prognosis in patients with colon cancer. Downregulation of LINC01006 reduced cell proliferation, invasion, and migration but induced cell apoptosis ( P < 0.05). Conclusion LINC01006 knockdown showed anti-proliferative, anti-metastatic, and apoptotic-induced effects on colon cancer cells. This study contributes to research on promising prognostic biomarkers of colon cancer and might give way to further investigation of alternative tumor targets.

show abstract

miR-1293 suppresses osteosarcoma progression by modulating drug sensitivity in response to cisplatin treatment

Wang,

Huang,

Chen

et al. 2024

International Immunopharmacology

View full text Add to dashboard Cite

Integrated Analysis Revealed the MicroRNA-Based Prognostic Predicting Signature for Papillary Renal Cell Carcinoma

Cited by 3 publications

References 36 publications

A novel nomogram and risk classification system predicting the overall survival of patients with papillary renal cell carcinoma after nephrectomy: A population-based study

A novel nomogram and risk classification system predicting the overall survival of patients with papillary renal cell carcinoma after nephrectomy: A population-based study

LINC01006 and miR-3199 Serve as Novel Markers of Poor Prognosis in Colon Cancer and Regulate Cell Proliferation, Migration and Invasion

miR-1293 suppresses osteosarcoma progression by modulating drug sensitivity in response to cisplatin treatment

Contact Info

Product

Resources

About