2021
DOI: 10.1038/s41467-021-24994-w
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Detection and characterization of lung cancer using cell-free DNA fragmentomes

Abstract: Non-invasive approaches for cell-free DNA (cfDNA) assessment provide an opportunity for cancer detection and intervention. Here, we use a machine learning model for detecting tumor-derived cfDNA through genome-wide analyses of cfDNA fragmentation in a prospective study of 365 individuals at risk for lung cancer. We validate the cancer detection model using an independent cohort of 385 non-cancer individuals and 46 lung cancer patients. Combining fragmentation features, clinical risk factors, and CEA levels, fo… Show more

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Cited by 201 publications
(196 citation statements)
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“…3 a), and the average lengths of fragments of 5hmC-enriched cfDNA from cancer patients were smaller than those from healthy individuals (168.4968 bp and 168.5556 bp, respectively). As previously described [ 31 ], quality-controlled mapped reads were analyzed in non-overlapping 5-megabase (Mb) windows to create genome-wide patterns. Within each window, we examined the short, long and total 5hmC-enriched cfDNA fragments and calculated the ratio of short to long fragments (RoSL).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…3 a), and the average lengths of fragments of 5hmC-enriched cfDNA from cancer patients were smaller than those from healthy individuals (168.4968 bp and 168.5556 bp, respectively). As previously described [ 31 ], quality-controlled mapped reads were analyzed in non-overlapping 5-megabase (Mb) windows to create genome-wide patterns. Within each window, we examined the short, long and total 5hmC-enriched cfDNA fragments and calculated the ratio of short to long fragments (RoSL).…”
Section: Resultsmentioning
confidence: 99%
“…The pattern of different cfDNA fragment sizes could be defined as fragmentation, a feature with potential diagnostic power. Recent studies [ 29 – 31 ] depicted a large number of abnormalities in the cfDNA of cancer patients through genome-wide analysis of fragmentation patterns. Methods based on fragmentation, such as DELFI (DNA evaluation of fragments for early interception) [ 31 ], were developed to increase sensitivity of noninvasive detection of cancer, which to some extent could remedy shortcomings of methods based on mutations in circulating tumor DNA [ 32 ], i.e., individuals with cancer may be missed by targeted high coverage sequencing.…”
Section: Introductionmentioning
confidence: 99%
“…The test has detection capability for any cancer (a pan-cancer test) and is good enough to identify the cancer primary lesion with about 80% accuracy [ 25 ]. The techniques that Grail uses to analyze ctDNA include targeted sequencing of about 500 genes previously associated with cancer, whole-genome sequencing, and copy number variations, whole-genome bisulfite sequencing to study methylation status [ 22 ], while other investigators are using DNA fragmentation to study the sizes of ctDNA [ 26 , 27 , 28 , 29 ]. Academic investigators have also published on the detection of early cancer by using ctDNA [ 13 , 30 ].…”
Section: Early Cancer Diagnosismentioning
confidence: 99%
“…More recently, Mathios et al evaluated the cell free fragmentomes instead of ctDNA and reported good performances to detect lung cancer even at early stages (91% of stages I/II, and 96% of stages III/IV), thus opening a new paradigm for liquid biopsy [ 20 ].…”
Section: Molecular Aspectsmentioning
confidence: 99%