Prognostic evaluation biomarker for kidney cancer as well as detection reagent and application thereof
A detection reagent and prognosis technology, applied in the field of renal cancer prognosis assessment biomarkers and detection reagents, can solve the problems that the value has not been reported in the literature, and the application research of lncRNA is few and so on.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0049] Example 1: Screening of lncRNA-ReCAL
[0050] In order to screen lncRNAs for predicting the prognosis risk of renal cancer, we first used the large-scale transcriptome sequencing data of clear cell renal cell carcinoma from three different ethnic groups in the world (America cohort from TCGA project, n = 530; Japan cohort from EGAS00001000509, n = 100; Europe cohort from ICGC project, n=91), combined with clinical prognosis information, univariate Cox regression analysis was used to screen out 29 lncRNAs that had a significant correlation with the prognosis of renal cell carcinoma. Then, we used the median expression value of each lncRNA as the boundary, divided each cohort into two groups with high and low expression, performed log-rank analysis, and finally screened out a lncRNA that was correlated with the overall survival of patients in the three kidney cancer cohorts. The lncRNA (ENSG00000238113) with a significant correlation with cancer rate, because this lncRNA ...
Embodiment 2
[0051] Example 2: Histological verification of lncRNA-ReCAL
[0052] We used long-term follow-up of 1908 patients with RCC from three independent cohorts (Changhai cohort (n=1326), Long March cohort (n=353), Nanjing cohort (n=229)) to detect lncRNA-ReCAL as an The efficacy of prognostic markers was verified. The expression level of lncRNA-ReCAL in tumor tissue was detected by Real time-PCR technology, and the median expression abundance was divided into two groups with high and low expression. The results showed that the tumor-specific survival rate of kidney cancer patients with high expression of lncRNA-ReCAL was lower (Changhai cohort: p figure 2 ), the time to tumor progression was shorter (Changhai cohort: p image 3 ). These results suggest that lncRNA-ReCAL may be used as a marker for the prognosis of patients with RCC.
Embodiment 3
[0053] Example 3: The value of lncRNA-ReCAL in evaluating the prognosis of early renal cancer
[0054] According to the SSIGN risk scoring system developed by the Mayo Clinic in the United States, we divided each cohort into 3 groups according to the tumor stage (stage), size (size), grade (grade) and necrosis [16]. Subgroups, namely SSIGN0-3 (low-risk group), SSIGN4-7 (medium-risk group), SSIGN>8 (high-risk group), carried out Kaplan-Meier curve analysis on each subgroup, found that in the low-risk group, lncRNA-ReCAL expression has the most significant discriminative ability for the prognosis of renal cancer (see Figure 4-6 , CSS; Changhai cohort log-rank p = 8.64E-20; Long March cohort log-rank p = 5.75E-5; Nanjing cohort log-rank p = 0.002; see Figure 7-8 , PFS; Changhai cohort log-rank p=1.94E-24; Longzheng cohort log-rank p=3.74E-7), while the predictive ability for the prognosis of high-risk renal cancer patients is poor (see Figure 4-6 , OS; Changhai cohort log-ra...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com