RBPMS2, as a novel biomarker for predicting lymph node metastasis, guides therapeutic regimens in gastric cancer
RBPMS2, as a novel biomarker for predicting lymph node metastasis, guides therapeutic regimens in gastric cancer
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RBPMS2作为预测淋巴结转移的新型生物标志物,指导胃癌的治疗方案
DOI:
10.1007/s13577-021-00667-0
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发表时间:
2022-01
期刊:
影响因子:
4.3
通讯作者:
Pengtao Guo
中科院分区:
文献类型:
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作者:
Han Zhao;Yuxin Tong;Siwei Pan;Zhendong Qiu;Pengfei Liu;Pengtao Guo
RNA-binding protein with multiple splicing 2 (RBPMS2) is a critical gene that encodes a member of the RNA-recognition-motif-containing protein family and is involved in the development and dedifferentiation of digestive smooth muscle cells. However, whether RBPMS2 has an effect on the prognosis of gastric cancer (GC) and its possible mechanism during GC progression remain unknown. Here, we collected 596 GC patients who underwent curative surgical resection to evaluate expression of RBPMS2. RBPMS2 was upregulated in GC tissues, and was associated with lymph node metastasis. We analysis the KEGG pathway and GO biological processes, cellular component and molecular function ofRBPMS2interactive genes, as well as RBPMS2-binding partner ESRP1 interactive genes. We also focus on the correlation analysis between EMT-related genes and RBPMS2/ESRP1. Finally, we analysed the correlation betweenRBPMS2expression and chemotherapeutic drugs which may assist in GC therapy and demonstrated that RBPMS2 expression was associated with tumour mutation burden (TMB) and Microsatellite Instability (MSI), as well as immune infiltration level in GC.
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影响因子:
3.8
作者:
Chun JW;Lee SH;Kim JS;Park N;Huh G;Cho IR;Paik WH;Ryu JK;Kim YT
通讯作者:
Kim YT
影响因子:
30.8
作者:
Weinstein, John N.;Collisson, Eric A.;Mills, Gordon B.;Shaw, Kenna R. Mills;Ozenberger, Brad A.;Ellrott, Kyle;Shmulevich, Ilya;Sander, Chris;Stuart, Joshua M.
通讯作者:
Stuart, Joshua M.
DOI:
10.1609/aaai.v34i10.7194
发表时间:
2020-04
期刊:
--
影响因子:
--
作者:
Hyeon-Jin Kim;Pascale Fung
通讯作者:
Hyeon-Jin Kim;Pascale Fung
影响因子:
2.7
作者:
Sébastien Sagnol;S. Marchal;Yinshan Yang;F. Allemand;P. de Santa Barbara
通讯作者:
Sébastien Sagnol;S. Marchal;Yinshan Yang;F. Allemand;P. de Santa Barbara
影响因子:
82.9
作者:
通讯作者:
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