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Immune-clinical feature combined prediction model for evaluating prognosis of lung adenocarcinoma

A technique for lung adenocarcinoma, prognosis, applied in the field of biomedicine

Active Publication Date: 2021-08-06
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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  • Abstract
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Problems solved by technology

[0004] However, based on data from Asian populations, few studies have comprehensively explored the impact of immune-related features on the prognosis of lung adenocarcinoma

Method used

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  • Immune-clinical feature combined prediction model for evaluating prognosis of lung adenocarcinoma
  • Immune-clinical feature combined prediction model for evaluating prognosis of lung adenocarcinoma
  • Immune-clinical feature combined prediction model for evaluating prognosis of lung adenocarcinoma

Examples

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Embodiment 1

[0050] Example 1. Prognostic model for Asian lung adenocarcinoma patients established based on immune genes related to EGFR mutation EIGPI and ICPMI model established by EIGPI combined with clinical information and model verification

[0051] The present invention uses the GIS2019 cohort composed of 169 Asian lung adenocarcinoma patients to construct the immune gene prognostic marker model EIGPI related to EGFR mutation in Asian lung adenocarcinoma patients and the ICPMI model established by combining the EIGPI with clinical information, and through 226 The model was validated by the GSE31210 lung gland cohort consisting of 179 Asian lung adenocarcinoma patients and the CICAMS cohort consisting of 179 Asian lung adenocarcinoma patients.

[0052] The clinical characteristics of Asian lung adenocarcinoma patients are shown in Table 1.

[0053] Table 1 shows the clinical characteristics of Asian patients with lung adenocarcinoma

[0054]

[0055] 1. Using the immune genes rel...

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Abstract

The invention discloses an immune-clinical feature combined prediction model for evaluating prognosis of lung adenocarcinoma. The invention provides a prognosis risk prediction system for Asian lung adenocarcinoma patients. The prognosis risk prediction system comprises a system for detecting expression quantities of ten genes, namely ANGPT4, BDNF, FABP7, INHBE, OXT, PI3, S100A2, TEK, SEMA3G and SERPIND1, of tumor samples of the Asian lung adenocarcinoma patients. According to the invention, the immune-clinical prognosis model index is systematically researched for the first time. According to the research, the relationship among EGFR mutation, immunophenotype and prognosis of Asian lung adenocarcinoma patients is systematically discussed for the first time, and a composite immune and clinical model related to EGFR mutation is established. The model may be a reliable and promising prognosis tool, and is helpful for further personalized management of patients.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to an immune-clinical feature joint prediction model that can be used to evaluate the prognosis of lung adenocarcinoma. Background technique [0002] As we all know, lung cancer is a common malignant tumor that seriously threatens human health. As the most important type of lung malignancy, lung adenocarcinoma (LUAD) seriously endangers human health and life, and the annual death toll exceeds 1 million worldwide. Although there are many mature treatment methods for lung adenocarcinoma, such as chemotherapy, molecular targeted therapy, and immunotherapy, the long-term survival rate of patients is still not ideal, with an average 5-year survival rate of 16%. Therefore, it is urgent to find an effective prediction tool that can evaluate the prognosis of the disease and patient survival, and then guide the treatment of patients individually. With the development of hig...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B5/00G16B40/00G16B50/00
CPCC12Q1/6886G16B5/00G16B40/00G16B50/00C12Q2600/156C12Q2600/118
Inventor 赫捷孙楠刘澄铭郑苏菲
Owner CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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