Dataset Information



ABSTRACT: Chromosomal instability (CIN) refers to ongoing chromosome segregation errors throughout consecutive cell divisions. CIN is a hallmark of human cancer, and it is associated with poor prognosis, metastasis, and therapeutic resistance. Analyzing CIN of the DNA extracted from urothelial cells in urine samples seems a promising method for diagnosing, monitoring, and predicting the prognosis of bladder cancer patients. CIN can be assessed using experimental techniques such as bulk DNA sequencing, fluorescence in situ hybridization (FISH), or conventional karyotyping. However, these techniques are either time-consuming or non-specific. We here intend to study whether a new method named Ultrasensitive Chromosomal Aneuploidy Detection (UCAD), which is based on low-coverage whole-genome sequencing, can be used to analyze CIN thus help diagnosing and treating bladder cancer patients.

TISSUE(S): Urine

SUBMITTER: Ziliang,Qian 



altmetric image


Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA.

Zeng Shuxiong S   Ying Yidie Y   Xing Naidong N   Wang Baiyun B   Qian Ziliang Z   Zhou Zunlin Z   Zhang Zhensheng Z   Xu Weidong W   Wang Huiqing H   Dai Lihe L   Gao Li L   Zhou Tie T   Ji Jiatao J   Xu Chuanliang C  

Clinical cancer research : an official journal of the American Association for Cancer Research 20201009 21

<h4>Purpose</h4>Urothelial carcinoma is a malignant cancer with frequent chromosomal aberrations. Here, we investigated the application of a cost-effective, low-coverage whole-genome sequencing technology in detecting all chromosomal aberrations.<h4>Experimental design</h4>Patients with urothelial carcinomas and nontumor controls were prospectively recruited in clinical trial NCT03998371. Urine-exfoliated cell DNA was analyzed by Illumina HiSeq XTen, followed by genotyping with a customized bioi  ...[more]

Similar Datasets

1000-01-01 | S-EPMC5752539 | BioStudies
2020-01-01 | S-EPMC7136496 | BioStudies
2019-01-01 | S-EPMC6873470 | BioStudies
2020-04-08 | S-SCDT-EMM-2018-09266 | BioStudies
2019-01-01 | S-EPMC6685079 | BioStudies
2018-01-01 | S-EPMC5835774 | BioStudies
1000-01-01 | S-EPMC6276097 | BioStudies
1000-01-01 | S-EPMC5503609 | BioStudies
2019-01-01 | S-EPMC6511763 | BioStudies
2015-01-01 | S-EPMC5217513 | BioStudies