Detection of fusion gene transcripts in the blood samples of prostate cancer patients.
Detection of fusion gene transcripts in the blood samples of prostate cancer patients.
复制标题
前列腺癌患者血液中融合基因转录本的检测。
DOI:
10.1038/s41598-021-96528-9
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发表时间:
2021-08-20
影响因子:
4.6
通讯作者:
Luo JH
中科院分区:
文献类型:
--
作者:
Yu YP;Liu S;Nelson J;Luo JH
Prostate cancer remains one of the most lethal cancers for men in the United States. The study aims to detect fusion transcripts in the blood samples of prostate cancer patients. We analyzed nine fusion transcripts including MAN2A1-FER, SLC45A2-AMACR, TRMT11-GRIK2, CCNH-C5orf30, mTOR-TP53BP1, KDM4-AC011523.2, TMEM135-CCDC67, LRRC59-FLJ60017 and Pten-NOLC1147 in the blood samples from 147 prostate cancer patients and 14 healthy individuals, using Taqman RT-PCR and Sanger’s sequencing. Similar analyses were also performed on 25 matched prostate cancer samples for matched-sample evaluation. Eighty-two percent blood samples from the prostate cancer patients were positive for MAN2A1-FER transcript, while 41.5% and 38.8% blood samples from the prostate cancer patients were positive for SLC45A2-AMACR and Pten-NOLC1, respectively. CCNH-c5orf30 and mTOR-TP53BP1 had low detection rates, positive in only 5.4% and 4% of the blood samples from the prostate cancer patients. Only 2 blood samples were positive for KDM4B-AC011523.2 transcript. Overall, 89.8% patients were positive for at least one fusion transcript in their blood samples. The statistical analysis showed varied sensitivity of fusion transcript detection in the blood based on the types of fusions. In contrast, the blood samples from all healthy individuals were negative for the fusion transcripts. Detection of fusion transcripts in the blood samples of the prostate cancer patients may be a fast and cost-effective way to detect prostate cancer.
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影响因子:
10.3
作者:
Kattan, MW;Eastham, JA;Scardino, PT
通讯作者:
Scardino, PT
影响因子:
45.3
作者:
Kattan, MW;Zelefsky, MJ;Leibel, SA
通讯作者:
Leibel, SA
DOI:
10.15585/mmwr.mm6941a1
发表时间:
2020-10-16
期刊:
MMWR. Morbidity and mortality weekly report
影响因子:
--
作者:
Siegel DA;O'Neil ME;Richards TB;Dowling NF;Weir HK
通讯作者:
Weir HK
影响因子:
6
作者:
Lin, F;Yu, YP;Luo, JH
通讯作者:
Luo, JH
影响因子:
29.4
作者:
Chen ZH;Yu YP;Tao J;Liu S;Tseng G;Nalesnik M;Hamilton R;Bhargava R;Nelson JB;Pennathur A;Monga SP;Luketich JD;Michalopoulos GK;Luo JH
通讯作者:
Luo JH