Unknown

Dataset Information

0

Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.


ABSTRACT: Gene expression profiles have drawn broad attention in deciphering the pathogenesis of human cancers. Cancer-related gene modules could be identified in co-expression networks and be applied to facilitate cancer research and clinical diagnosis. In this paper, a new method was proposed to identify lung cancer-risk modules and evaluate the module-based disease risks of samples. The results showed that thirty one cancer-risk modules were closely related to the lung cancer genes at the functional level and interactional level, indicating that these modules and genes might synergistically lead to the occurrence of lung cancer. Our method was proved to have good robustness by evaluating the disease risk of samples in eight cancer expression profiles (four for lung cancer and four for other cancers), and had better performance than the WGCNA method. This method could provide assistance to the diagnosis and treatment of cancers and a new clue for explaining cancer mechanisms.

SUBMITTER: Jia X 

PROVIDER: S-EPMC3958511 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

altmetric image

Publications

Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.

Jia Xu X   Miao Zhengqiang Z   Li Wan W   Zhang Liangcai L   Feng Chenchen C   He Yuehan Y   Bi Xiaoman X   Wang Liqiang L   Du Youwen Y   Hou Min M   Hao Dapeng D   Xiao Yun Y   Chen Lina L   Li Kongning K  

PloS one 20140318 3


Gene expression profiles have drawn broad attention in deciphering the pathogenesis of human cancers. Cancer-related gene modules could be identified in co-expression networks and be applied to facilitate cancer research and clinical diagnosis. In this paper, a new method was proposed to identify lung cancer-risk modules and evaluate the module-based disease risks of samples. The results showed that thirty one cancer-risk modules were closely related to the lung cancer genes at the functional le  ...[more]

Similar Datasets

| S-EPMC7141363 | biostudies-literature
| S-EPMC6376892 | biostudies-other
| S-EPMC5653475 | biostudies-literature
| S-EPMC5546301 | biostudies-other
| S-EPMC2808498 | biostudies-literature
2013-08-07 | E-MEXP-3947 | biostudies-arrayexpress
| S-EPMC7272018 | biostudies-literature
| S-EPMC7236956 | biostudies-literature
| S-EPMC6315896 | biostudies-other
| S-EPMC5786081 | biostudies-other