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Prognosis evaluation system for patients with early-stage lung adenocarcinoma (LUAD) and application thereof

A technology for lung adenocarcinoma and patients, applied in the field of biomedicine, can solve the problems of lung cancer recurrence that needs to be studied, limited options for lung cancer treatment, and poor prognosis.

Active Publication Date: 2020-07-10
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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  • Summary
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

66% of lung cancer patients are diagnosed at an advanced stage, the treatment options for advanced lung cancer are limited, and the prognosis is poor
But whether immune-related genes can predict early lung cancer recurrence remains to be studied

Method used

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  • Prognosis evaluation system for patients with early-stage lung adenocarcinoma (LUAD) and application thereof
  • Prognosis evaluation system for patients with early-stage lung adenocarcinoma (LUAD) and application thereof
  • Prognosis evaluation system for patients with early-stage lung adenocarcinoma (LUAD) and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Example 1. Early lung adenocarcinoma recurrence marker model IBRS established based on immune genes and model verification

[0056] The present invention uses the TCGA early lung adenocarcinoma cohort composed of 338 lung adenocarcinoma patients to construct the early lung adenocarcinoma recurrence marker model IBRS, and through the GSE31210 early lung adenocarcinoma cohort composed of 226 lung adenocarcinoma patients and 68 cases An independent group of frozen tissues from patients with early-stage lung adenocarcinoma validated the constructed model. The clinical characteristics of patients with early lung adenocarcinoma are shown in Table 1.

[0057] Table 1. Clinical characteristics of patients with early lung adenocarcinoma

[0058]

[0059] Note: WT (wild-type) represents wild type; MUT (mutation) represents mutant type; NA (not available) represents unavailable.

[0060] 1. Using the TCGA early lung adenocarcinoma cohort to construct the model IBRS and its pr...

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Abstract

The invention discloses a prognosis evaluation system for patients with early-stage LUAD and application thereof. According to the invention, disease-free survival data of 632 patients with early-stage LUAD in three independent queues are integrated, and an individual IBRS model for patients with early-stage LUAD is established and verified. The three independent queues include TCGA, GSE31210 and68 cases of frozen tissues. The IBRS model is composed of the following nine genes: DYNC1I2, THOC1, ADAM10, SERPINB6, CCL20, WNT2B, SLC11A1, MAPT and PSEN1. The establishment of the IBRS model for patients with early-stage LUAD is not only beneficial for understanding of the complex interaction mechanism between immune molecules, but also brings great help to the recurrence prediction of the patients with early-stage LUAD and the optimization of a treatment scheme.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to a prognosis evaluation system for patients with early lung adenocarcinoma and its application. Background technique [0002] Lung cancer is a cancer with a high incidence in China and the world, and it is also the leading cause of cancer-related death. Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer, accounting for about 40% of lung cancers. Despite the continuous development of new treatments such as molecular targeted drugs and immune checkpoint inhibitors, the five-year survival rate of lung cancer patients remains at about 17%. The high mortality rate from lung cancer can be attributed to two main reasons. 66% of lung cancer patients are diagnosed at advanced stage, the treatment options for advanced lung cancer are limited, and the prognosis is poor. Even for patients with early-stage lung cancer, the five-year recurrence ...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/11G16B5/00G16B20/50G16B25/10
CPCC12Q1/6886G16B25/10G16B20/50G16B5/00C12Q2600/158C12Q2600/118
Inventor 赫捷孙楠张超奇张震王思慧张国超张志慧骆玥君王锋车云曾庆鹏王亚龙
Owner CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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