Circulating Cell-Free DNA Yield and Circulating-Tumor DNA Quantity from Liquid Biopsies of 12 139 Cancer Patients.
Author(s): Huang RSP, Xiao J, Pavlick DC, Guo C, Yang L, Jin DX, Fendler B, Severson E, Killian JK, Hiemenz M, Duncan D, Lin DI, Dennis L, Aiyer A, Gjoerup O, Oxnard G, Venstrom J, Elvin J, Ramkissoon SH, Ross JS
Publication: Clin Chem, 2021, Vol. , Page
PubMed ID: 34626187 PubMed Review Paper? No
Purpose of Paper
This paper used retrospective plasma specimens to investigate if cfDNA concentration and circulating tumor DNA (ctDNA) fraction were impacted by tumor type and stage, patient age and sex, and the presence of a genomic alterations.
Conclusion of Paper
cfDNA yield and ctDNA fraction differed among the tumor types with the highest mean ctDNA fraction found in patients with neuroendocrine tumors (23.2%) and the lowest mean fraction in specimens from patients with central nervous system (CNS) tumors (4.3%). Higher cancer stages generally had higher mean cfDNA yields and higher mean ctDNA fractions. cfDNA yield was not affected by patient age or sex, but the mean ctDNA fraction was inversely related to patient age and mean ctDNA fraction was significantly higher in plasma from males than females. cfDNA yield was higher from specimens where a genomic alteration was detected than those without a genomic alteration. There was a significant positive effect of cfDNA concentration on specimens passing sequencing quality checks.
Studies
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Study Purpose
This study used retrospective plasma specimens to investigate if cfDNA concentration and ctDNA fraction were impacted by tumor type and stage, patient age and sex, and the presence of a genomic alterations. This study included 12,139 specimens that were received consecutively at FoundationOne for comprehensive genomic profiling. Blood was collected from patients diagnosed with a hematologic malignancy, neuroendocrine tumors, prostate carcinoma, breast carcinoma, gastrointestinal carcinoma, head and neck tumors, skin tumors, endocrine tumors, soft tissue tumors, genitourinary tumors, non-small cell lung cancer, gynecologic tumors, or central nervous system tumors; blood specimen were mailed to FoundationOne at ambient temperature. Details of blood collection including tube type were not specified. Plasma was separated by centrifugation (speed and duration not specified), within 14 days of venipuncture. cfDNA was extracted (method unspecified) and quantified using a 4200 TapeStation. cfDNA was sequenced using a hybrid capture-based next generation sequencing assay. Differences were evaluated. ctDNA fraction was based on calculation of the tumor fraction estimator and the maximum somatic allele frequency.
Summary of Findings:
cfDNA yield differed among the tumor types evaluated (P<0.001, both tests), with higher than average levels observed in specimens from patients with hematologic malignancy, neuroendocrine tumors, prostate carcinoma, breast carcinoma, or gastrointestinal carcinoma and lower than average levels in specimens from patients with head and neck tumors, skin tumors, endocrine tumors, soft tissue tumors, genitourinary tumors (other than prostate carcinoma), non-small cell lung cancer, gynecologic tumors, and central nervous system tumors. Similarly, the ctDNA fraction was dependent on tumor type with the highest mean fraction found in patients with neuroendocrine tumors (23.2%) and the lowest mean fraction in specimens from patients with CNS tumors (4.3%, P<0.001 among tumor types, both tests). As cancer stage increased, specimens had higher mean cfDNA yield (P<0.001, both tests) and mean ctDNA fraction (from 5.9% in stage 1 to 12.7% in stage 4, P<0.001, both tests). While lower cfDNA yields were observed among older patients, the effect was not significant (P=0.0.119 by Rank Sum and P=0.510 by ANOVA). The mean ctDNA fraction was inversely related to patient age (progressive decline with age from 16.5% in patients <50 years to 9.9% in patients ≥80 years, P<0.001 both tests). There was no effect of patient sex on cfDNA yield (P=0.307 by Rank Sum and P=0.380 by ANOVA), but mean ctDNA fraction was significantly higher in specimens from males than females (13.1% versus 11.3%, P<0.001, both tests). cfDNA yield was higher from specimens where a genomic alteration was detected than those without a genomic alteration (P<0.001). There was a significant positive effect of cfDNA concentration on specimens passing quality checks (Kruskal-Wallis Rank Sum test, P<0.001).
Biospecimens
Preservative Types
- None (Fresh)
Diagnoses:
- Neoplastic - Carcinoma
- Neoplastic - Sarcoma
- Neoplastic - Melanoma
- Neoplastic - Leukemia
- Neoplastic - Lymphoma
Platform:
Analyte Technology Platform DNA Automated electrophoresis/Bioanalyzer DNA Next generation sequencing Pre-analytical Factors:
Classification Pre-analytical Factor Value(s) Preaquisition Patient age <50 years
50-59 years
60-69 years
70-79 years
≥ 80 years
Preaquisition Prognostic factor Stage I
Stage II
Stage III
Stage IV
Preaquisition Diagnosis/ patient condition Hematologic malignancy
Neuroendocrine tumors
Prostate carcinoma
Breast carcinoma
Gastrointestinal carcinoma
Head and neck tumors
Skin tumors
Endocrine tumors
Soft tissue tumors
Genitourinary tumors
Non-small cell lung cancer
Gynecologic tumors
Central nervous system tumor
Preaquisition Patient gender Female
Male