4.8 Article

Pan-cancer circulating tumor DNA detection in over 10,000 Chinese patients

Journal

NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-020-20162-8

Keywords

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Funding

  1. Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences [2018-I2M-1-002]

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The study conducted a ctDNA-based analysis on over 10,000 pan-cancer Chinese patients, revealing age-related CH variants, detection rates of ctDNA in different cancer types, and the frequencies of potential driver genes. The findings may be valuable for identifying therapeutic targets and developing combined treatment strategies.
Circulating tumor DNA (ctDNA) provides a noninvasive approach to elucidate a patient's genomic landscape and actionable information. Here, we design a ctDNA-based study of over 10,000 pan-cancer Chinese patients. Using parallel sequencing between plasma and white blood cells, 14% of plasma cell-free DNA samples contain clonal hematopoiesis (CH) variants, for which detectability increases with age. After eliminating CH variants, ctDNA is detected in 73.5% of plasma samples, with small cell lung cancer (91.1%) and prostate cancer (87.9%) showing the highest detectability. The landscape of putative driver genes revealed by ctDNA profiling is similar to that in a tissue-based database (R-2=0.87, p<0.001) but also shows some discrepancies, such as higher EGFR (44.8% versus 25.2%) and lower KRAS (6.8% versus 27.2%) frequencies in non-small cell lung cancer, and a higher TP53 frequency in hepatocellular carcinoma (53.1% versus 28.6%). Up to 41.2% of plasma samples harbor drug-sensitive alterations. These findings may be helpful for identifying therapeutic targets and combined treatment strategies. The detection of aberrations in circulating tumour DNA represents a non-invasive method to survey the oncogenes and tumour suppressors that are modified within a patient's cancer. Here, the authors analysed more than 10,000 patients using a targeted sequencing panel and report on the frequencies of the mutations that they found.

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