Rxivist logo

bMSI-CAST: a systematic method for next generation sequencing-based microsatellite instability detection in plasma cell-free DNA

By Wenliang Li, Fengchang Huang, Jian Huang, JUN YANG, Hongbin Zhang, Lili Zhao, Hongyu Xie, Xiaoqing Wang, Yuanyuan Hong, Jingchao Shu, Jianing Yu, Qingyun Li, Weizhi Chen, Ji He

Posted 22 Feb 2021
bioRxiv DOI: 10.1101/2021.02.22.432191

Microsatellite instability (MSI) is a well-established prognostic and predictive biomarker in certain types of cancers. MSI detection using tumour tissue is often limited by the availability of specimens. Next generation sequencing (NGS)-based MSI detection in plasma cell-free DNA (cfDNA) is challenged by a much lower signal-to-noise ratio. We developed a highly accurate cfDNA MSI detection method called bMSI-CAST (blood MSI Caller Adjusted with Sequence duplicaTes), with improvement on three features including a set of locus selection principles ensuring loci with high robustness and compatibility across sequencing platforms, an MSI-specific duplicate removal strategy, and a calling algorithm that dynamically matches baselines with a broad range of duplication levels. Analytical validation via MSI-high (MSI-H) cell gDNA showed an LOD of 0.15%. Furthermore, in an analysis of 95 evaluable cfDNA samples from patients with gastrointestinal cancers, bMSI-CAST exhibited a positive predictive agreement (PPA) of 92.9% (39/42) and negative predictive agreement (NPA) of 100% (53/53) with tissue MSI-PCR. In conclusion, bMSI-CAST provides novel and advanced solutions to key aspects fundamental to cfDNA MSI calling but not sufficiently addressed by existing methods, and it is a validated method ready to be applied to aid clinical decisions for cancer patients.

Download data

  • Downloaded 128 times
  • Download rankings, all-time:
    • Site-wide: 163,068
    • In bioinformatics: 12,247
  • Year to date:
    • Site-wide: None
  • Since beginning of last month:
    • Site-wide: None

Altmetric data


Downloads over time

Distribution of downloads per paper, site-wide


PanLingua

News