PREDICTING THE SURVIVAL TIME FOR BLADDER CANCER USING AN ADDI-TIVE HAZARDS MODEL IN MICROARRAY DATA

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

TAPAK LEILI; MAHJUB HOSSEIN; SADEGHIFAR MAJID; SAIDIJAM MASSOUD; POOROLAJAL JALAL

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Public Health Year:2016 | Volume:45 | Issue:2 Page(s): 239-248

Download Full-Text

View:

305

Download:

193

Cites:

Information Journal Paper

Title

PREDICTING THE SURVIVAL TIME FOR BLADDER CANCER USING AN ADDI-TIVE HAZARDS MODEL IN MICROARRAY DATA

Author(s)

Keywords

SURVIVAL ANALYSIS

MICROARRAY DATA

ADDITIVE HAZARDS MODEL

VARIABLE SELECTION

BLADDER CANCER

Abstract

Background: One substantial part of microarray studies is to predict patients’ survival based on their gene expression profile. VARIABLE SELECTION techniques are powerful tools to handle high dimensionality in analysis of MICROARRAY DATA. However, these techniques have not been investigated in competing risks setting. This study aimed to investigate the performance of four sparse VARIABLE SELECTION methods in estimating the survival time.Methods: The data included 1381 gene expression measurements and clinical information from 301 patients with BLADDER CANCER operated in the years 1987 to 2000 in hospitals in Denmark, Sweden, Spain, France, and England. Four methods of the least absolute shrinkage and selection operator, smoothly clipped absolute deviation, the smooth inte-gration of counting and absolute deviation and elastic net were utilized for simultaneous VARIABLE SELECTION and estima-tion under an ADDITIVE HAZARDS MODEL. The criteria of area under ROC curve, Brier score and c-index were used to compare the methods.Results: The median follow-up time for all patients was 47 months. The elastic net approach was indicated to outper-form other methods. The elastic net had the lowest integrated Brier score (0.137±0.07) and the greatest median of the over-time AUC and C-index (0.803±0.06 and 0.779±0.13, respectively). Five out of 19 selected genes by the elastic net were significant (P<0.05) under an ADDITIVE HAZARDS MODEL. It was indicated that the expression of RTN4, SON, IGF1R and CDC20 decrease the survival time, while the expression of SMARCAD1 increase it.Conclusion: The elastic net had higher capability than the other methods for the prediction of survival time in pa-tients with BLADDER CANCER in the presence of competing risks base on ADDITIVE HAZARDS MODEL.

Cites

No record.

References

No record.

Cite

APA: Copy

TAPAK, LEILI, MAHJUB, HOSSEIN, SADEGHIFAR, MAJID, SAIDIJAM, MASSOUD, & POOROLAJAL, JALAL. (2016). PREDICTING THE SURVIVAL TIME FOR BLADDER CANCER USING AN ADDI-TIVE HAZARDS MODEL IN MICROARRAY DATA. IRANIAN JOURNAL OF PUBLIC HEALTH, 45(2), 239-248. SID. https://sid.ir/paper/273994/en

Vancouver: Copy

TAPAK LEILI, MAHJUB HOSSEIN, SADEGHIFAR MAJID, SAIDIJAM MASSOUD, POOROLAJAL JALAL. PREDICTING THE SURVIVAL TIME FOR BLADDER CANCER USING AN ADDI-TIVE HAZARDS MODEL IN MICROARRAY DATA. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2016;45(2):239-248. Available from: https://sid.ir/paper/273994/en

IEEE: Copy

LEILI TAPAK, HOSSEIN MAHJUB, MAJID SADEGHIFAR, MASSOUD SAIDIJAM, and JALAL POOROLAJAL, “PREDICTING THE SURVIVAL TIME FOR BLADDER CANCER USING AN ADDI-TIVE HAZARDS MODEL IN MICROARRAY DATA,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 45, no. 2, pp. 239–248, 2016, [Online]. Available: https://sid.ir/paper/273994/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops