Profiles of alternative splicing landscape in breast cancer and their clinical significance: an integrative analysis based on large-sequencing data.
Profiles of alternative splicing landscape in breast cancer and their clinical significance: an integrative analysis based on large-sequencing data.
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乳腺癌选择性剪接景观概况及其临床意义：基于大测序数据的综合分析
DOI：
10.21037/atm-20-7203
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发表时间：
2021-01
影响因子：
--
通讯作者：
Zhu W
中科院分区：
文献类型：
--
作者：
Du JX;Liu YL;Zhu GQ;Luo YH;Chen C;Cai CZ;Zhang SJ;Wang B;Cai JL;Zhou J;Fan J;Dai Z;Zhu W
Background Alternative splicing (AS) is closely correlated with the initiation and progression of carcinoma. The systematic analysis of its biological and clinical significance in breast cancer (BRCA) is, however, lacking. Methods Clinical data and RNA-seq were obtained from the TCGA dataset and differentially expressed AS (DEAS) events between tumor and paired normal BRCA tissues were identified. Enrichment analysis was then used to reveal the potential biological functions of DEAS events. We performed protein-protein interaction (PPI) analysis of DEAS events by using STRING and the correlation network between splicing factors (SFs) and AS events was constructed. The LASSO Cox model, Kaplan-Meier and log-rank tests were used to construct and evaluate DEAS-related risk signature, and the association between DEAS events and clinicopathological features were then analyzed. Results After strict filtering, 35,367 AS events and 973 DEAS events were detected. DEAS corresponding genes were significantly enriched in pivotal pathways including cell adhesion, cytoskeleton organization, and extracellular matrix organization. A total of 103 DEAS events were correlated with disease free survival. The DEAS-related risk signature stratified BRCA patients into two groups and the area under curve (AUC) was 0.754. Moreover, patients in the high-risk group had enriched basel-like subtype, advanced clinical stages, proliferation, and metastasis potency. Conclusions Collectively, the profile of DEAS landscape in BRCA revealed the potential biological function and prognostic value of DEAS events.
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影响因子：
16.6
作者：
Chevalier C;Collin G;Descamps S;Touaitahuata H;Simon V;Reymond N;Fernandez L;Milhiet PE;Georget V;Urbach S;Lasorsa L;Orsetti B;Boissière-Michot F;Lopez-Crapez E;Theillet C;Roche S;Benistant C
通讯作者：
Benistant C
影响因子：
4.6
作者：
Kumaran M;Cass CE;Graham K;Mackey JR;Hubaux R;Lam W;Yasui Y;Damaraju S
通讯作者：
Damaraju S
影响因子：
3.8
作者：
Arafat H;Lazar M;Salem K;Chipitsyna G;Gong Q;Pan TC;Zhang RZ;Yeo CJ;Chu ML
通讯作者：
Chu ML
影响因子：
8
作者：
Aigner, A;Juhl, H;Czubayko, F
通讯作者：
Czubayko, F
影响因子：
7.7
作者：
Gokmen-Polar, Yesim;Neelamraju, Yaseswini;Badve, Sunil S.
通讯作者：
Badve, Sunil S.