Abstract:
:Serous ovarian cancer (SOC) is the most common form of the histological subtype of epithelial ovarian cancer, with the worst clinical outcome. Despite improvements in surgery and chemotherapy, most patients with SOC experience recurrence within 12-18 months of first-line treatment. Current studies are unable to robustly predict the recurrence of SOC, and more accurate predictive models are urgently required. We have, therefore, developed a novel pathway-structured model to predict the recurrence of SOC. We trained the model on a set of 333 patients and validated it in 3 diversified validation datasets of 403 patients. Genes significantly associated with recurrence within each pathway were identified using a Cox proportional hazards model based on LASSO estimation in the training dataset. Next, a pathway-structured scoring matrix was obtained after computation of the prognostic score for each pathway by fitting to the Cox proportional hazards model. With the pathway-structure scoring matrix as an input, the pathway-based recurrent signatures were identified using the Cox proportional hazards model based on LASSO estimation and the significant pathway-based signatures were externally validated in 3 independent datasets. Meanwhile, our pathway-structured model was compared with a commonly used gene-based model. Our results revealed that our 12 pathway-based signatures successfully predicted the recurrence of SOC with high accuracy in the training dataset and in the 3 validation datasets. Moreover, our pathway-structured model was superior to the gene-based model in 4 datasets. The pathways selected in our study will provide new insights into the pathogenesis and clinical treatments of SOC.
journal_name
J Cell Biochemjournal_title
Journal of cellular biochemistryauthors
Deng K,Zhang F,Song W,Zhao W,Rong Z,Cai Y,Xu H,Lu M,Wang W,Li A,Hou Y,Li Z,Li Kdoi
10.1002/jcb.27098subject
Has Abstractpub_date
2018-11-01 00:00:00pages
8564-8573issue
10eissn
0730-2312issn
1097-4644journal_volume
119pub_type
杂志文章abstract::We have previously demonstrated that the antagonists of calmodulin (CaM) induce apoptosis of cholangiocarcinoma cells partially through Fas-mediated apoptosis pathways. Recently, CaM has been shown to bind to Fas, which is regulated during Fas or CaM antagonist-mediated apoptosis in Jurkat cells and osteoclasts. Accor...
journal_title:Journal of cellular biochemistry
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journal_title:Journal of cellular biochemistry
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pub_type: 杂志文章
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更新日期:2008-04-15 00:00:00
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journal_title:Journal of cellular biochemistry
pub_type: 杂志文章
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pub_type: 杂志文章
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更新日期:2014-08-01 00:00:00
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doi:10.1002/jcb.240550212
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journal_title:Journal of cellular biochemistry
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journal_title:Journal of cellular biochemistry
pub_type: 杂志文章
doi:10.1002/jcb.240240310
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journal_title:Journal of cellular biochemistry
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