AI Article Synopsis

  • - Early detection of cancer is crucial, and plasma cell-free DNA (cfDNA) can reveal tumor DNA signatures for diagnosing early-stage tumors.
  • - The novel TOF (Tumor Originated Fragment) method quantifies tumor fragments by analyzing cfDNA methylation patterns and specific fragmentomic features to improve lung cancer diagnosis.
  • - In a study with 298 plasma samples, the TOF method successfully distinguished lung cancer patients from healthy individuals, achieving an impressive accuracy rate with a score of 0.98 out of 1.0.

Article Abstract

Early detection is critical for minimizing mortality from cancer. Plasma cell-free DNA (cfDNA) contains the signatures of tumor DNA, allowing us to quantify the signature and diagnose early-stage tumors. Here, we report a novel tumor fragment quantification method, TOF (Tumor Originated Fragment) for the diagnosis of lung cancer by quantifying and analyzing both the plasma cfDNA methylation patterns and fragmentomic signatures. TOF utilizes the amount of ctDNA predicted from the methylation density information of each cfDNA read mapped on 6243 lung-tumor-specific CpG markers. The 6243 tumor-specific markers were derived from lung tumor tissues by comparing them with corresponding normal tissues and healthy blood from public methylation data. TOF also utilizes two cfDNA fragmentomic signatures: 1) the short fragment ratio, and 2) the 5' end-motif profile. We used 298 plasma samples to analyze cfDNA signatures using enzymatic methyl-sequencing data from 201 lung cancer patients and 97 healthy controls. The TOF score showed 0.98 of the area under the curve in correctly classifying lung cancer from normal samples. The TOF score resolution was high enough to clearly differentiate even the early-stage non-small cell lung cancer patients from the healthy controls. The same was true for small cell lung cancer patients.

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Source
http://dx.doi.org/10.1016/j.mcp.2022.101873DOI Listing

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