Abstract A012: Comparative analysis of circulating variant allele fractions in healthy individuals and patients with solid tumors using an ultra-sensitive liquid biopsy assay MUTE-Seq

Abstract Background: Circulating cell-free DNA (cfDNA) is present in low concentrations in healthy individuals. However, the molecular baseline of circulating variant allele fractions (cVAFs) in healthy individuals remains poorly defined. This study used a novel ultra-sensitive liquid biopsy platform to quantify cVAFs of common cancer driver mutations in a healthy population and compared them to profiles in patients with solid tumors. Methods: A total of 415 participants were enrolled, including 246 healthy individuals (59.3%) and 169 patients (40.7%) with solid tumors from seven primary sites: cervix, endometrium, ovary, colorectum, stomach, pancreas and prostate. Samples were prospectively collected at Korea University Anam Hospital (IRB No. 2022AN0090). Variant allele fractions were measured using MUTE-Seq, targeting key cancer-associated genes: TP53, IDH1, PIK3CA, KRAS, MYCN, NRAS, EGFR, BRAF, CTNNB, ERBB2, APC, AKT1, BRCA and PDGFRA. Comparisons were performed based on health status, cancer type, stage and involved organ system. Two metrics were used to quantify mutation burden: cVAF sum and cVAF mean, defined respectively as the total and average variant allele fraction of detectable mutations per individual. Results: Mutations were detected in 105 healthy individuals (42.7%) and 108 cancer patients (63.9%). In the healthy group, the average cVAF sum was 0.060 and the average cVAF mean was 0.041. In comparison, cancer patients showed substantially higher values, with an average cVAF sum of 1.380 and an average cVAF mean of 0.987. Median cVAF sum and mean values were also significantly higher in cancer patients compared to healthy individuals (0.000 to 0.076 for cVAF sum; 0.000 to 0.049 for cVAF mean; both p < 0.001). This difference in cVAF sum remained significant when the analysis was limited to participants with detectable driver mutations, with higher levels observed in cancer patients compared to healthy individuals (p < 0.001), whereas cVAF mean did not differ significantly between the groups (p = 0.537). A progressive increase in cVAF levels was observed across clinical groups, analysis showing that cVAF sum was higher in both early- and advanced-stage cancer patients compared to healthy individuals (p = 0.018 and p < 0.001, respectively). Subgroup analyses showed that colorectal, endometrial, ovarian, and pancreatic cancers had higher cVAF mean values than healthy participants. When grouped by organ system, both gynecologic and gastrointestinal tumors exhibited significantly elevated cVAFs compared to the healthy cohort (p < 0.001). Conclusions: This study defines a molecular reference range for cVAFs in healthy individuals. The presence of low-level mutations in nearly half of healthy individuals emphasizes the need for quantitative context in cfDNA-based diagnostics. These findings support the clinical utility of cVAF profiling and provide a benchmark for distinguishing pathological signals from background variation. Citation Format: Jungmin Kim, Sungjae An, In Seon Lee, Kyung-Hak Choi, Sunghyeok Ye, Junseok W. Hur. Comparative analysis of circulating variant allele fractions in healthy individuals and patients with solid tumors using an ultra-sensitive liquid biopsy assay MUTE-Seq [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2025 Oct 22-26; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2025;24(10 Suppl):Abstract nr A012.

Authors

Institutions

Publication Details

Journal
Molecular Cancer Therapeutics
Published
2025-10-22
DOI
https://doi.org/10.1158/1535-7163.targ-25-a012
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract A012: Comparative analysis of circulating variant allele fractions in healthy individuals and patients with solid tumors using an ultra-sensitive liquid biopsy assay MUTE-Seq

Junseok W. Hur, Sungjae An, Kyung‐Hak Choi, Sunghyeok Ye et al.
Molecular Cancer Therapeutics
Cancer Genomics and Diagnostics
article

Abstract A012: Comparative analysis of circulating variant allele fractions in healthy individuals and patients with solid tumors using an ultra-sensitive liquid biopsy assay MUTE-Seq

Junseok W. Hur, Sungjae An, Kyung‐Hak Choi, Sunghyeok Ye, Jung‐Min Kim, In Seon Lee
article en

Abstract

Abstract Background: Circulating cell-free DNA (cfDNA) is present in low concentrations in healthy individuals. However, the molecular baseline of circulating variant allele fractions (cVAFs) in healthy individuals remains poorly defined. This study used a novel ultra-sensitive liquid biopsy platform to quantify cVAFs of common cancer driver mutations in a healthy population and compared them to profiles in patients with solid tumors. Methods: A total of 415 participants were enrolled, including 246 healthy individuals (59.3%) and 169 patients (40.7%) with solid tumors from seven primary sites: cervix, endometrium, ovary, colorectum, stomach, pancreas and prostate. Samples were prospectively collected at Korea University Anam Hospital (IRB No. 2022AN0090). Variant allele fractions were measured using MUTE-Seq, targeting key cancer-associated genes: TP53, IDH1, PIK3CA, KRAS, MYCN, NRAS, EGFR, BRAF, CTNNB, ERBB2, APC, AKT1, BRCA and PDGFRA. Comparisons were performed based on health status, cancer type, stage and involved organ system. Two metrics were used to quantify mutation burden: cVAF sum and cVAF mean, defined respectively as the total and average variant allele fraction of detectable mutations per individual. Results: Mutations were detected in 105 healthy individuals (42.7%) and 108 cancer patients (63.9%). In the healthy group, the average cVAF sum was 0.060 and the average cVAF mean was 0.041. In comparison, cancer patients showed substantially higher values, with an average cVAF sum of 1.380 and an average cVAF mean of 0.987. Median cVAF sum and mean values were also significantly higher in cancer patients compared to healthy individuals (0.000 to 0.076 for cVAF sum; 0.000 to 0.049 for cVAF mean; both p < 0.001). This difference in cVAF sum remained significant when the analysis was limited to participants with detectable driver mutations, with higher levels observed in cancer patients compared to healthy individuals (p < 0.001), whereas cVAF mean did not differ significantly between the groups (p = 0.537). A progressive increase in cVAF levels was observed across clinical groups, analysis showing that cVAF sum was higher in both early- and advanced-stage cancer patients compared to healthy individuals (p = 0.018 and p < 0.001, respectively). Subgroup analyses showed that colorectal, endometrial, ovarian, and pancreatic cancers had higher cVAF mean values than healthy participants. When grouped by organ system, both gynecologic and gastrointestinal tumors exhibited significantly elevated cVAFs compared to the healthy cohort (p < 0.001). Conclusions: This study defines a molecular reference range for cVAFs in healthy individuals. The presence of low-level mutations in nearly half of healthy individuals emphasizes the need for quantitative context in cfDNA-based diagnostics. These findings support the clinical utility of cVAF profiling and provide a benchmark for distinguishing pathological signals from background variation. Citation Format: Jungmin Kim, Sungjae An, In Seon Lee, Kyung-Hak Choi, Sunghyeok Ye, Junseok W. Hur. Comparative analysis of circulating variant allele fractions in healthy individuals and patients with solid tumors using an ultra-sensitive liquid biopsy assay MUTE-Seq [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2025 Oct 22-26; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2025;24(10 Suppl):Abstract nr A012.

Molecular Cancer TherapeuticsVol. 24(10_Supplement)
Korea Pharma (South Korea) (KR)
Openalex Percentile: Top 63%
Cancer Genomics and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.