利用基因群層級之存活分析方法鑑定肺癌之穩定預後基因標記

陳郁文

doi:10.6342/NTU.2013.01431

44.201.94.236，Hello！

Close
Search Quick Search Advanced Search Publication Search	Personal Service Member Login Searching History Use Bonus Card SYMSKAN
Browse Browse by University of Graduate Thesis Browse by Pinyin of Graduate Thesis Browse by Conference Proceedings Topic Browse by Conference Proceedings Publisher Browse by Pinyin of Conference Proceedings Browse by eBook Category Browse by eBook Topic Browse by eBook Publisher
Customer Services Authorize Airiti Recommend a Journal

Search Symbol (Half-width)	Description of Search Symbols
Space	"AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " )	Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" ： " image process "
?	Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
*	Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT	Boolean logic combinations of key words is a skill used to expand or refine search parameters. (1) AND (1) AND: Refines search parameters (2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

DOI stands for Digital Object Identifier （ D igital O bject I dentifier ） ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ）。

Data Source

Basic & Applied Sciences > Information Science
Health & Medical Care > Medical Sciences
College of Electrical Engineering & Computer Science > Graduate Institute of Biomedical Electronics and Bioinformatics

Bibliography Management Tool

Related Links

Report an Issue

Purchase Single Articles

Download PDF

利用基因群層級之存活分析方法鑑定肺癌之穩定預後基因標記

Identification of Common Prognostic Gene Expression Signature in Lung Cancer with Gene-Set Level Survival Analysis

陳郁文 , Masters　　Advisor：莊曜宇　　

繁體中文 DOI： 10.6342/NTU.2013.01431

非小細胞肺癌；微陣列生物晶片；預後標記；存活預測；基因群； NSCLC ； microarray ； prognostic signature ； survival prediction ； gene set

Abstract │ Reference (58) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

Lung cancer has been the leading cause of cancer death worldwide in recent years and non-small cell lung cancer (NSCLC) accounts for most cases of lung cancer. There is still great heterogeneity poorly understood in lung cancer, which accounts for poor survival rate. Risk of recurrence of lung cancer is not predictable and a large variability of disease outcome has been observed for patients with similar clinical features. Therefore, there is an urgent need to discover new molecular signatures that could incorporate with current clinical features to improve the prognosis and management of patients within each subtype of NSCLC. 
Most approaches for finding prognostic signatures were based on individual gene testing, which caused several major problems. First, there were only limited overlaps between prognostic signatures identified from different studies and these signatures demonstrated a lack of robustness when applying to multiple datasets. Moreover, it was difficult to elucidate the biological mechanisms underlining those prognostic signatures in connection to clinical outcomes.
In this study, a cross-platform gene-set level approach integrating the cox proportional hazard regression model with gene set enrichment analysis (GSEA) was proposed. Biological meaning was included at first based on prior knowledge in gene-set definition. Robustness of signatures was also strengthened in companion with more functional interactions among these signatures. With the help of robust prognostic signatures, prognosis and survival of patients could be improved a lot in the future.

Reference ( 58 ) 〈TOP〉

1. Jemal, A., et al., Cancer statistics, 2010. CA Cancer J Clin, 2010. 60(5): p. 277-300.
連結：
2. Ferlay, J., D.M. Parkin, and E. Steliarova-Foucher, Estimates of cancer incidence and mortality in Europe in 2008. Eur J Cancer, 2010. 46(4): p. 765-81.
連結：
3. Ettinger, D.S., et al., Non-small cell lung cancer clinical practice guidelines in oncology. J Natl Compr Canc Netw, 2006. 4(6): p. 548-82.
連結：
4. Pretreatment evaluation of non-small-cell lung cancer. The American Thoracic Society and The European Respiratory Society. Am J Respir Crit Care Med, 1997. 156(1): p. 320-32.
連結：
5. McDoniels-Silvers, A.L., et al., Differential gene expression in human lung adenocarcinomas and squamous cell carcinomas. Clin Cancer Res, 2002. 8(4): p. 1127-38.
連結：

Altmetrics

〈TOP〉

E-mail ：

When an article is available to download, a notice will be sent to your mailbox address.

E-mail ：