An Invited Commentary on “RAPID procedure for colorectal cancer liver metastasis” (Int. J. Surg. 2020; Epub ahead of print)

2020 ◽  
Vol 79 ◽  
pp. 15-16
Author(s):  
Shao-Fa Wang ◽  
Xiao-Ping Chen
2020 ◽  
Vol 82 ◽  
pp. 93-96 ◽  
Author(s):  
Silvio Nadalin ◽  
Utz Settmacher ◽  
Falk Rauchfuß ◽  
Deniz Balci ◽  
Alfred Königsrainer ◽  
...  

Oncogene ◽  
2021 ◽  
Author(s):  
Senlin Zhao ◽  
Bingjie Guan ◽  
Yushuai Mi ◽  
Debing Shi ◽  
Ping Wei ◽  
...  

AbstractGlycolysis plays a crucial role in reprogramming the metastatic tumor microenvironment. A series of lncRNAs have been identified to function as oncogenic molecules by regulating glycolysis. However, the roles of glycolysis-related lncRNAs in regulating colorectal cancer liver metastasis (CRLM) remain poorly understood. In the present study, the expression of the glycolysis-related lncRNA MIR17HG gradually increased from adjacent normal to CRC to the paired liver metastatic tissues, and high MIR17HG expression predicted poor survival, especially in patients with liver metastasis. Functionally, MIR17HG promoted glycolysis in CRC cells and enhanced their invasion and liver metastasis in vitro and in vivo. Mechanistically, MIR17HG functioned as a ceRNA to regulate HK1 expression by sponging miR-138-5p, resulting in glycolysis in CRC cells and leading to their invasion and liver metastasis. More interestingly, lactate accumulated via glycolysis activated the p38/Elk-1 signaling pathway to promote the transcriptional expression of MIR17HG in CRC cells, forming a positive feedback loop, which eventually resulted in persistent glycolysis and the invasion and liver metastasis of CRC cells. In conclusion, the present study indicates that the lactate-responsive lncRNA MIR17HG, acting as a ceRNA, promotes CRLM through a glycolysis-mediated positive feedback circuit and might be a novel biomarker and therapeutic target for CRLM.


2003 ◽  
Vol 90 (12) ◽  
pp. 1556-1564 ◽  
Author(s):  
E. T. Waas ◽  
T. Wobbes ◽  
R. M. L. M. Lomme ◽  
J. DeGroot ◽  
T. Ruers ◽  
...  

2018 ◽  
Vol 9 (16) ◽  
pp. 2981-2986 ◽  
Author(s):  
Yimin Shen ◽  
Caihua Wang ◽  
Yuezhong Ren ◽  
Jun Ye

2018 ◽  
Vol 26 (2) ◽  
pp. 593-603 ◽  
Author(s):  
Masanori Oshi ◽  
Georgios Antonios Margonis ◽  
Yu Sawada ◽  
Nikolaos Andreatos ◽  
Jin He ◽  
...  

2021 ◽  
Author(s):  
Xuehu Wang ◽  
Nie Li ◽  
Yun Wang ◽  
Xiaoping Yin ◽  
Yongchang Zheng

Abstract AimsThe Hub genes highly related to the disease were found from the gene co-expression module, and the potential high expression genes were analyzed to predict the liver metastasis of colorectal cancer, so as to provide reference for subsequent targeted therapy.MethodsIn this study, we used the public data set of GEO database (GSE50760) to analyze the gene co-expression of liver metastasis of colon cancer, primary colon cancer and normal colon tissue (54 cases) and 50 cases of clinical cases. The functional annotations based on GO database are enriched, and the functional annotations of five gene modules are obtained through the enrichment of biological processes. Then the data mining is carried out to find the sub-networks with high adjacency in the gene co-expression network. At the same time, these sub-networks are annotated to find oncogenes related to liver metastasis of colorectal cancer.ResultsThis experiment found that KRAS, APC, FBXW7, PIK3CA, TP53 were highly correlated with liver metastasis of colorectal cancer. Finally, two protein genes STAT1 and MAPK1 were found by MCODE, which may be highly correlated with liver metastasis of colorectal cancer. Two new genes with high expression proteins found in this experiment have potential cancer, which has not been reflected in previous studies.ConclusionAccording to clinical data, KRAS, APC, FBXW7, PIK3CA, TP53 are related to colorectal cancer liver metastasis, and the analysis of the data set shows that STAT1 and MAPK1 are not only related to colorectal cancer liver metastasis oncogene but also related to clinically obtained genes.


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