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Plasma cell-free DNA variant analysis compared with methylated DNA analysis in renal cell carcinoma
- Source :
- Genetics in Medicine. 22:1366-1373
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Plasma cell-free DNA (cfDNA) variant analysis is commonly used in many cancer subtypes. Cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq) has shown high sensitivity for cancer detection. To date, studies have not compared the sensitivity of both methods in a single cancer subtype. cfDNA from 40 metastatic RCC (mRCC) patients was subjected to targeted panel variant analysis. For 34 of 40, cfMeDIP-seq was also performed. A separate cohort of 38 mRCC patients were used in cfMeDIP-seq analysis to train an RCC classifier. cfDNA variant analysis detected 21 candidate variants in 11 of 40 mRCC patients (28%), after exclusion of 2 germline variants and 6 variants reflecting clonal hematopoiesis. Among 23 patients with parallel tumor sequencing, cfDNA analysis alone identified variants in 9 patients (39%), while cfDNA analysis focused on tumor sequencing variant findings improved the sensitivity to 52%. In 34 mRCC patients undergoing cfMeDIP-seq, cfDNA variant analysis identified variants in 7 (21%), while cfMeDIP-seq detected all mRCC cases (100% sensitivity) with 88% specificity in 34 control subjects. In 5 patients with cfDNA variants and serial samples, variant frequency correlated with response to therapy. cfMeDIP-seq is significantly more sensitive for mRCC detection than cfDNA variant analysis. However, cfDNA variant analysis may be useful for monitoring response to therapy.
- Subjects :
- Massive parallel sequencing
business.industry
Clonal hematopoiesis
Plasma cell
urologic and male genital diseases
medicine.disease
Germline
Human genetics
chemistry.chemical_compound
medicine.anatomical_structure
chemistry
Renal cell carcinoma
medicine
Cancer research
Methylated DNA immunoprecipitation
business
Genetics (clinical)
DNA
Subjects
Details
- ISSN :
- 10983600
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Genetics in Medicine
- Accession number :
- edsair.doi...........6f34b3343c597c007f7079ff09545178