Identification of canine circulating miRNAs as tumor biospecific markers using Next-Generation Sequencing and Q-RT-PCR.
Identification of canine circulating miRNAs as tumor biospecific markers using Next-Generation Sequencing and Q-RT-PCR.
复制标题
DOI:
10.1016/j.bbrep.2021.101106
复制
发表时间:
2021-12
影响因子:
2.7
通讯作者:
Smith BF
中科院分区:
文献类型:
--
作者:
Agarwal P;Crepps MP;Stahr NA;Kretzschmar WP;Harris HC;Prasad N;Levy SE;Smith BF
Delay in cancer diagnosis often results in metastasis and an inability to successfully treat the tumor. The use of broadly cancer-specific biomarkers at an early stage may improve cancer treatment and staging. This study has explored circulatory exosomal miRNAs as potential diagnostic biomarkers to identify cancer patients. Secretory exosomal miRNAs were isolated from 13 canine cancer cell lines (lymphoma, mast cell tumor, histiocytic cell line, osteosarcoma, melanoma, and breast tumor) and were sequenced by Next-Generation sequencing (NGS). We have identified 6 miRNAs (cfa-miR-9, -1841, −1306, −345, −132, and −26b) by NGS that were elevated in all cancer cell types. The miRNAs identified by NGS were then examined by Q-RT-PCR. The PCR data demonstrated similar expression patterns to those seen with NGS but provided fold differences that were much lower than those seen for NGS. Cfa-miR-9 was found to be the most consistently elevated miRNA in NGS and PCR, making it the most likely miRNA to prove diagnostic. In this study, we have demonstrated that it is possible to identify exosomal miRNAs with elevated secretion across multiple tumor types that could be used as circulatory diagnostic biomarkers for liquid biopsy in the future. Circulatory exosomal miRNAs are useful as diagnostic biomarkers for early cancer detection. Secretory miRNAs can be sequenced and identified by Next-Generation sequencing. Six miRNAs were elevated in canine cancer cell lines. Q-RT-PCR was used to analyze and validate miRNAs expression. Cfa-miR-9 was most consistently elevated miRNAs in all cancer cell types.
登录
查看更多内容
影响因子:
4.6
作者:
Heishima K;Ichikawa Y;Yoshida K;Iwasaki R;Sakai H;Nakagawa T;Tanaka Y;Hoshino Y;Okamura Y;Murakami M;Maruo K;Akao Y;Mori T
通讯作者:
Mori T
影响因子:
1.2
作者:
Noguchi, Shunsuke;Mori, Takashi;Maruo, Kohji
通讯作者:
Maruo, Kohji
影响因子:
46.9
作者:
Ma L;Reinhardt F;Pan E;Soutschek J;Bhat B;Marcusson EG;Teruya-Feldstein J;Bell GW;Weinberg RA
通讯作者:
Weinberg RA
影响因子:
2.8
作者:
Hu, Jinhua;Ruan, Jiugen;Xiong, Jianping
通讯作者:
Xiong, Jianping
影响因子:
3.7
作者:
Craig, Karlee K. L.;Wood, Geoffrey A.;Wood, R. Darren
通讯作者:
Wood, R. Darren