Identification of therapeutic targets and prognostic biomarkers from the hnRNP family in invasive breast carcinoma.
Identification of therapeutic targets and prognostic biomarkers from the hnRNP family in invasive breast carcinoma.
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侵袭性乳腺癌中 hnRNP 家族治疗靶点和预后生物标志物的鉴定
DOI:
10.18632/aging.202411
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发表时间:
2021-01-20
期刊:
影响因子:
--
通讯作者:
Xu Q
中科院分区:
文献类型:
--
作者:
Zhou J;Guo Y;Huo Z;Xing Y;Fang J;Ma G;Han Q;Wang M;Xu Q
Heterogeneous nuclear ribonucleoproteins (hnRNPs) are RNA-binding proteins that are reported to play a crucial role in the pathogenic process of multiple malignancies. However, their expression patterns, clinical application significance and prognostic values in invasive breast carcinoma (BRCA) remain unknown. In this study, we investigated hnRNP family members in BRCA using accumulated data from Oncomine 4.5, UALCAN Web portal and other available databases. We explored the expression and prognostic value level of hnRNPs in BRCA. We further analyzed their association with the clinicopathological features of BRCA patients. Subsequently, we calculated the alteration frequency of hnRNPs, constructed the interaction network of hnRNPs, and examined the potential coexpression genes of hnRNPs, revealing that HNRNPU and SYNCRIP are the core molecular genes requiring further investigation for BRCA. We validated the immunohistochemistry (IHC) pattern to simulate clinical applications based on pathology. Cell function experiments conducted in vitro indicated that HNRNPU can promote epithelial-mesenchymal transition, functionally stimulating the invasion capacity and inhibiting the viability of invasive BRCA cells. In summary, our systematic analysis demonstrated that HNRNPU was the key molecule that played a fundamental role in BRCA metastasis, which may facilitate the development of new diagnostic and prognostic markers for the analysis of BRCA progression.
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影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
影响因子:
5.8
作者:
Dai S;Zhang J;Huang S;Lou B;Fang B;Ye T;Huang X;Chen B;Zhou M
通讯作者:
Zhou M
影响因子:
5.8
作者:
Li, Tengda;Gu, Mingli;Qian, Cheng
通讯作者:
Qian, Cheng
影响因子:
3.7
作者:
Engels B;Jannot G;Remenyi J;Simard MJ;Hutvagner G
通讯作者:
Hutvagner G
影响因子:
1.7
作者:
Bandyopadhyay, Sudeshna;Bluth, Martin H.;Ali-Fehmi, Rouba
通讯作者:
Ali-Fehmi, Rouba