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A group of genes for molecular subtyping of renal cell carcinoma and application of genes

A technology for renal cell carcinoma and molecular typing, which is applied in the fields of cancer diagnosis and molecular biology, and can solve the problem of inability to distinguish the various subtypes of renal cell carcinoma

Active Publication Date: 2018-02-23
HANGZHOU CANHELP GENOMICS TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although, this panel of genes has excellent performance for the differential diagnosis of renal cell carcinoma from other tumor types, with a sensitivity and specificity of 100%, it cannot distinguish the individual subtypes of renal cell carcinoma

Method used

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  • A group of genes for molecular subtyping of renal cell carcinoma and application of genes
  • A group of genes for molecular subtyping of renal cell carcinoma and application of genes
  • A group of genes for molecular subtyping of renal cell carcinoma and application of genes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Collection and processing of training set samples;

[0089] The present invention analyzes a large number of clinical data of renal tumor patients and their biological sample data, including 106 cases of clear cell carcinoma, 66 cases of papillary cell carcinoma, 42 cases of chromophobe cell carcinoma, 46 cases of oncocytoma, 35 cases of non- A total of relevant clinical data and gene expression data of 295 patients in tumor tissues were used to construct a renal cell carcinoma gene expression database.

[0090] Screening of 44 specific genes;

[0091] According to the measured value of gene expression abundance, the inventors used the statistical analysis method T-test to select 44 genes that are closely related to the renal cell carcinoma type from 12263 genes. These genes were differentially expressed in RCC subtypes with statistical significance, as shown in Table 1.

[0092] Table 2: 44-gene set

[0093]

[0094]

[0095] 44 genes based on the construction...

Embodiment 2

[0098] Validation set test:

[0099] In this example, the inventors analyzed the high-throughput sequencing data of 1020 cases of renal cell carcinoma, including 534 cases of clear cell carcinoma, 291 cases of papillary cell carcinoma, 66 cases of chromophobe cell carcinoma and 129 cases of non-tumor tissue. The 44-gene statistical analysis model was used to discriminate the type of each sample, and compared with the results of clinicopathological diagnosis, the accuracy rate was 93.4%. Taking clear cell carcinoma as a reference, the predicted sensitivity is 94.2%, and the specificity is 95.7%, see Table 2.

[0100] Table 3: Discrimination results of the 44-gene model in the validation set of 1020 cases

[0101]

Embodiment 3

[0103] In this example, the inventors conducted molecular typing experiments on 121 cases of renal tumor samples and 8 cases of non-tumor tissue samples, including 26 cases of clear cell carcinoma, 28 cases of papillary cell carcinoma, 40 cases of chromophobe cell carcinoma and eosinophilic cell carcinoma. There were 27 cases of adenoma. The experimenters collected renal tumor-enriched areas from formalin-fixed paraffin-embedded tissue blocks by manual scraping, and extracted total RNA; treated with DNase to ensure complete removal of genomic DNA contamination; obtained after reverse transcription cDNA, real-time quantitative polymerase chain reaction (real-time quantitative polymerase chain reaction, RTQ-PCR) of 44 genes was used to detect the expression level of genes in paraffin-embedded tumor tissue, and the analysis model calculated that the sample was similar to the subtype of renal cell carcinoma degree score.

[0104] The 44-gene statistical analysis model was used to...

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Abstract

The invention discloses a group of genes for molecular subtyping of renal cell carcinoma and an application of the genes. The group of genes include 44 genes as follows: RHCG gene, RNF128 gene, TMEM255A gene, PCP4 gene, DHRS2 gene, CLDN8 gene, AQP6 gene, SLC18A2 gene, KRT7 gene, SERPINA5 gene, SFTPB gene, DEFB1 gene, MAL gene, ANGPTL4 gene, LCN2 gene, PLIN2 gene, ZNF395 gene, TACSTD2 gene, NDUFA4L2 gene, NNMT gene, HILPDA gene, UMOD gene, SLC12A1 gene, CALB1 gene, C7 gene, S100A2 gene, ASS1 gene, MT1G gene, ABCA8 gene, FOSB gene, MAOB gene, STAP1 gene, TFPI2 gene, AKR1C2 gene, IGFBP6 gene, VCAN gene, FLRT3 gene, MMP7 gene, GSTA1 gene, CRYAB gene, PAH gene, IGFBP1 gene, ATP6V0A4 gene and ALDOB gene. Based upon verification, it is proved that the genes can be used for accurately distinguishing oncocytic adenom, clear cell carcinoma, papillary cell carcinoma chromophobe renal carcinoma; the genes are broad in application scope, high in accuracy rate and short in experimental cycle; and the genes can achieve an important clinical significance for the precise treatment of a patient.

Description

technical field [0001] The invention relates to the fields of cancer diagnosis and molecular biology, as well as the clinical application of diagnosis technology. Specifically, the present invention relates to a group of genes used for molecular typing of renal cell carcinoma and its application. Through the establishment of molecular typing of renal cell carcinoma and the detection of the expression of specific genes in renal cell carcinoma tissues, four main types of genes can be identified. Types of renal tumors, including oncocytoma and the 3 most common subtypes of renal cell carcinoma: clear cell carcinoma, papillary cell carcinoma, and chromophobe carcinoma. In addition, the present invention also relates to a kit for molecular typing of renal cell carcinoma. Background technique [0002] Renal cell carcinoma (RCC) is a malignant tumor caused by the urinary tubular epithelial system of the renal parenchyma, also known as renal adenocarcinoma, which accounts for 80% t...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/112C12Q2600/158
Inventor 徐清华陈成书陈金影孙益丰吴益旺杨扬蔡虎钱琛辉杨明沈佳
Owner HANGZHOU CANHELP GENOMICS TECH CO LTD
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