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Circulating cell-free DNA (cfDNA) fragment end motif profiles are a promising biomarker in precision oncology. Here, we present a protocol for analyzing plasma cfDNA fragment end motifs from ultra-low-pass whole-genome sequencing (WGS) data. We detail a pipeline composed of sequential bash scripts for processing post-alignment BAM files. Subsequently, we outline the procedure for downstream analysis and visualization of 4-mer as well as other n-mer cfDNA end motifs in R.

Individuals with PTENhamartoma tumor syndrome (PHTS) harbor pathogenic germline PTENvariants that confer a significantly increased lifetime risk of various organ-specific cancers including second primary malignant neoplasms (SMNs). Currently, there are no reliable biomarkers that can predict individual-level cancer risk. Despite the highly promising value of cell-free DNA (cfDNA) as a biomarker for underlying sporadic cancers, the utility of cfDNA in individuals with known cancer-associated germline variants and subclinical cancers remains poorly understood. We perform ultra-low-pass whole-genome sequencing (ULP-WGS) of cfDNA from plasma samples from patients with PHTS and cancer as well as those without cancer. Analysis of cfDNA reveals that patients with PHTS and SMNs have distinct cfDNA size distribution, aberrant genome-wide fragmentation, and differential fragment end motif frequencies. Our work provides evidence that cfDNA profiles may be used as a marker for SMN risk in patients with PHTS.

Cost-related nonadherence (CRN) among Medicare beneficiaries declined after the implementation of the Part D program, but it is unknown whether CRN changes varied on the basis of beneficiaries' change in drug coverage.