Diagnostic marker for lung adenocarcinoma based on metabolic gene profile

A technology for diagnosing markers and lung adenocarcinoma, applied in the field of lung cancer diagnosis, can solve the problems that have not been widely studied

Pending Publication Date: 2019-07-26
FIRST AFFILIATED HOSPITAL OF KUNMING MEDICAL UNIV
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Problems solved by technology

However, the role of metabolism in LUAD has not been extensively studied
Further, existing studies have not reported comparing the metabolic gene expression profiles of males and females in LUAD

Method used

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  • Diagnostic marker for lung adenocarcinoma based on metabolic gene profile
  • Diagnostic marker for lung adenocarcinoma based on metabolic gene profile
  • Diagnostic marker for lung adenocarcinoma based on metabolic gene profile

Examples

Experimental program
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Embodiment 1

[0024] Example 1: Confirmation method of markers

[0025] 1 Lung adenocarcinoma data collection

[0026] LUAD transcriptome and clinical data were downloaded from the Genomic Data Commons (GDC) data portal (https: / / portal.gdc.cancer.gov / ). A total of 513 tumor specimens and 57 adjacent specimens had complete transcriptome and clinical profiles, including 237 male tumor specimens, 23 male adjacent specimens, 276 female tumor specimens, and 34 female adjacent specimens. RNA-Seq was performed on all samples using the Illumina HiSeq 2000 platform (version 2) and normalized by the number of reads per kilobase length from a gene per million reads (FPKM). In order to ensure the reliability of detection and reduce background noise, we only choose 90% log 2 Genes with (FPKM) values ​​greater than 0.1, and 13782 unique genes were obtained. To evaluate and validate the analysis results, we downloaded two lung cancer microarray datasets from NCBI-GEO (http: / / ncbi.nlm.nih.gov / geo): GSE6...

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Abstract

The invention relates to the technical field of lung cancer diagnosis, in particular to a diagnostic marker for lung adenocarcinoma based on a metabolic gene profile. Application of TAOK2 and ASAH1 asdiagnostic markers for the lung adenocarcinoma is provided. An embodiment demonstrates the holistic metabolic difference between the male and the female in the lung adenocarcinoma. 34 risk metabolismgenes identified in the male and 15 risk metabolism genes in the female all have higher AUC values, indicating that these genes, alone or in combination, can be used as the diagnostic marker for thelung adenocarcinoma. The TAOK2 has the highest AUC value of 1.000 in the male risk metabolism genes, and the TAOK2 expression is down-regulated in male patients. The ASAH1 has the highest AUC value of0.985 in the female risk metabolism genes, and the ASAH1 expression is up-regulated in female patients. The diagnostic marker contributes to the study of the difference of the diagnostic marker for the lung adenocarcinoma between the male and the female.

Description

technical field [0001] The invention relates to the technical field of lung cancer diagnosis, in particular to a lung adenocarcinoma diagnostic marker based on metabolic gene spectrum. Background technique [0002] Lung cancer is one of the most common malignant tumors in the world. In China, the incidence of lung cancer is the highest among cancers. Non-small cell lung cancer (NSCLC) accounts for about 80% of all lung cancer cases, and the most common subtype is lung adenocarcinoma (LUAD). Changes in cell metabolism are currently recognized as a hallmark of cancer. In order to support the high proliferation rate and unique metabolic requirements of tumor cells, cell metabolism produces a complex reorganization network. Many studies have shown that the characteristics of cell metabolism are related to the degree of malignancy of tumors, and the prognosis of NSCLC patients can be predicted by positron emission tomography (PET) or computed tomography (CT) methods. [0003] S...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/158
Inventor 李娅何成禄段勇
Owner FIRST AFFILIATED HOSPITAL OF KUNMING MEDICAL UNIV
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