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Prognosis model for total survival rate of bladder cancer patient

A technique for bladder cancer and survival rate, applied in the fields of bioengineering and tumor markers

Active Publication Date: 2021-04-30
SHANDONG PROVINCIAL HOSPITAL AFFILIATED TO SHANDONG FIRST MEDICAL UNIVERSITY
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Problems solved by technology

Additionally, defects in tumor DNA repair have important implications for the use of immunotherapy and other targeted agents in bladder cancer
DNA repair-related genes are closely related to clinical treatment, but no studies have used them to construct prognostic models. Therefore, efforts to further understand the prospects of DNA repair alterations in bladder cancer are critical to advancing bladder cancer treatment
At present, there is no research on prognostic stratification of bladder cancer patients based on DNA repair-related genes.

Method used

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  • Prognosis model for total survival rate of bladder cancer patient
  • Prognosis model for total survival rate of bladder cancer patient
  • Prognosis model for total survival rate of bladder cancer patient

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Experimental program
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Embodiment 1

[0024] Such as Figure 1-5 As shown, this embodiment provides a model construction method and effect verification that can predict the survival possibility of bladder cancer patients.

[0025] 1.1 Data download and preprocessing

[0026]Download Fragments Per Kilobase of transcript perMillion mapped reads (FPKM) standardized RNA sequencing dataset and clinical data from The Cancer Genome Atlas (TCGA), which contains 411 tumor samples and 19 non-tumor samples. After normalization, the R package "org.Hs.eg.db" was used to convert the probes into gene names, and for genes corresponding to multiple probes, the probe with the largest average expression value was selected.

[0027] 1.2 Screening of prognostic-related DNA repair genes

[0028] To construct a DNA repair-related prognostic model, 563 DNA repair-related genes (DRRG) were obtained from Gene Set Enrichment Analysis (GSEA) (https: / / www.gsea-msigdb.org / gsea / index.jsp). The R package "limma" was used to analyze DRRG diffe...

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Abstract

The invention belongs to the technical field of bioengineering and tumor markers, and relates to a prognosis model for the total survival rate of a bladder cancer patient, in particular to a prognosis model capable of predicting the total survival rate of the bladder cancer patient based on 12 DNA repair related genes. According to the invention, a prognosis model with 12 DRRGs is established, and bladder cancer patients are divided into high-risk and low-risk groups. The risk score of the bladder cancer patient in the training queue is significantly related to the OS (Plt, 0.001, HR = 6.3 [4.1, 9.8]). ROC curve analysis shows that AUC is 0.763 and 0.735 and 0.735 and 0.735 respectively in follow-up visits in one year, three years and five years. The prediction performance has been verified in the test set.

Description

technical field [0001] The invention belongs to the technical field of bioengineering and tumor markers, and relates to a prognostic model for the overall survival rate of bladder cancer patients, in particular to a prognostic model that can predict the overall survival rate of bladder cancer patients based on 12 DNA repair-related genes. Background technique [0002] Bladder cancer (BLCA) is the most common malignant tumor of the urinary system, and its morbidity and mortality are high. About 75% of bladder cancer patients are non-muscle invasive bladder cancer (NMIBC) at first diagnosis, and about 25% of patients are Muscle invasive bladder cancer (MIBC) or metastatic disease. NMIBC is usually treated locally with intravesical chemotherapy or immunotherapy combined with TURBT, however most NMIBC relapse within 6–12 months, and 10%–15% of patients may progress to invasive or metastatic disease. Overall, the 5-year survival rate for all stages of bladder cancer still does n...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B20/00
CPCC12Q1/6886C12Q2600/118C12Q2600/158G16B20/00
Inventor 宋伟康维亭
Owner SHANDONG PROVINCIAL HOSPITAL AFFILIATED TO SHANDONG FIRST MEDICAL UNIVERSITY
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