Biomarker used for prognosis of lung cancer

A prognostic and lung cancer technology, applied in biological testing, biochemical equipment and methods, and microbial assay/examination, etc., and can solve problems such as inability to be widely verified and biased

Inactive Publication Date: 2016-03-02
陈铁华 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of them are based on small samples or data limited to a single research institution, and ultimately cannot be widely verified in different data from different countries
Moreover, a considerable number of authors clearly have more than 10 years of follow-up data, but only compare the change of survival period of 5 years, which will undoubtedly bring about greater bias

Method used

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  • Biomarker used for prognosis of lung cancer
  • Biomarker used for prognosis of lung cancer
  • Biomarker used for prognosis of lung cancer

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Embodiment Construction

[0033] The technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative, and in no way serves as any limitation to the present invention and its application or use. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0034] The technologies and methods known to those of ordinary skill in the relevant fields may not be discussed in detail, but where appropriate, the technical industry methods should be regarded as part of the authorization specification.

[0035] All documents mentioned in the present invention are cited as references in...

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Abstract

The invention relates to a biomarker used for prognosis of lung cancer. 95 lung cancer prognosis specific genes are selected from 2738 lung cancer gene expression programming data from various countries through statistical analysis, wherein 85 of the selected genes are related to survival probability and postoperative relapse probability that reported for the first time. Furthermore, the 95 lung cancer prognosis specific genes are subjected to single-factor analysis, multi-factor analysis and survival curve analysis to finally accurately select seven representive genes. Clinical data in various countries proves that the gene markers can be very effectively used for predicting the survival probability and postoperative relapse probability of lung cancer, and according to this, lung cancer patiens are divided into low-, medium- and high-risk groups.

Description

Technical field [0001] The present invention relates to the field of lung cancer prognosis, mainly the prediction of lung cancer survival probability and postoperative recurrence probability. More specifically, the present invention relates to biomarkers for the prognosis of lung cancer and their uses. Background technique [0002] According to the world's most authoritative medical journal CA: ACancerJournal for Clinicians (2013; 63:11-30), the number of new cancer cases in the United States in 2013 was as high as 1.66 million, and the number of deaths from cancer was 580,000. Among them, the case fatality rate of lung cancer ranks first. 163,000 people die from lung cancer each year, and the number of new lung cancer cases is as high as 246,000 each year. Based on the estimation of 246,000 new lung cancer cases in the 310 million people in the United States each year, the number of new lung cancer cases in China's 1.38 billion people should be 10.95 million. [0003] The "2012 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68G01N33/68C12N15/11C07K14/435
CPCC12Q1/6886G01N33/68C12Q2600/158C12Q2600/112C12Q2600/106C12Q2600/16C12Q2600/118
Inventor 陈铁华陈潞铭凌静
Owner 陈铁华
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