Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 9;15(10):1198.
doi: 10.3390/diagnostics15101198.

Early Dynamics of Circulating Tumor DNA Following Curative Hypofractionated Radiotherapy Related to Disease Control in Lung Cancer

Affiliations

Early Dynamics of Circulating Tumor DNA Following Curative Hypofractionated Radiotherapy Related to Disease Control in Lung Cancer

Kyungmi Yang et al. Diagnostics (Basel). .

Abstract

Background/objectives: We aimed to characterize the dynamic pattern of circulating tumor DNA (ctDNA) during hypofractionated radiation therapy (RT) in patients with lung cancer and assess its clinical relevance. Metholds: Prospectively, 24 patients diagnosed with early-stage lung cancer underwent curative RT with 60-64 Gy in 4-20 fractions. Blood samples were collected at baseline (D0) and on post-RT days 1-3 and 7 (D1-3 and D7). The ctDNA was longitudinally analyzed using LiquidSCAN. To find a feasible index associated with outcome, total VAF(%), max VAF(%), total GE (hGE/mL) and max GE (hGE/mL), were evaluated. Results: Thirteen patients with available samples were analyzed with a median 22.2-month follow-up (range, 5.2-34.3 months). Four patients experienced progression between 7.9 and 16.6 months after RT (PD group), and the nine presented no evidence of disease (NED group). The Dmax, the day with the highest ctDNA level among D0-7, was significantly different between the groups with total GE and max GE (p = 0.035 and 0.021, respectively). According to the ROC curves, the max GE showed the best AUC (86.1%) and the cut-off value of the Dmax was 1.5 (sensitivity: 66.7%, specificity: 100%, positive-predictive value: 100%, and negative-predictive value: 57.1%). Tumor size ≥ 3 cm, squamous histology, and a daily dose 3-4 Gy were correlated with the Dmax = D2-3. The Dmax showed better disease control rate with marginal significance (p = 0.081). Conclusions: The timing of early ctDNA elevation may have the potential to predict RT response. The max GE may be an index to verify the ctDNA levels after RT.

Keywords: cell-free DNA; liquid biopsy; lung cancer; radiotherapy.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Mutation profiling of plasma samples from patients with radiotherapy. OncoPrint chart shows the occurrence of mutations as profiled by targeted ultra-deep sequencing techniques across 13 patients with radiotherapy.
Figure 2
Figure 2
Daily ctDNA levels from the start of radiotherapy; (AE), absolute mean values of cfDNA, total VAF, max VAF, total GE, and max GE; (FJ), relative mean values (ratio) from the baseline of cfDNA, total VAF, max VAF, total GE, and max GE (solid line, NED; dotted line, PD).
Figure 3
Figure 3
Dmax in groups with no evidence of disease (NED) or progression (PD); (AE), maximum ratio during D2–3 of cfDNA, total VAF, max VAF, total GE, and max GE; (FJ), the day with maximum ratio (Dmax) of cfDNA, total VAF, max VAF, total GE, and max GE.
Figure 4
Figure 4
ROC curve using Dmax to predict progression.
Figure 5
Figure 5
The relationship of Dmax with types of (A) treatment, (B) pathology, (C) tumor size, and (D) daily RT dose. The unit of tumor size and daily dose are cm and cGy. Tx: treatment; PBT: proton beam therapy; XRT: X-ray beam therapy; ADC: adenocarcinoma; N/A: not available; and SQ: squamous cell carcinoma.
Figure 6
Figure 6
Survival curves with disease control and Dmax.

Similar articles

Cited by

References

    1. Lee J.E., Yang K., Ahn Y.C., Park W., Huh S.J. Recent Trends of Medical Expenses Associated with Radiation Therapy in Korea Based on HIRA Big Data. Cancer Res. Treat. 2023;55:758–765. doi: 10.4143/crt.2022.389. - DOI - PMC - PubMed
    1. De Michino S., Aparnathi M., Rostami A., Lok B.H., Bratman S.V. The Utility of Liquid Biopsies in Radiation Oncology. Int. J. Radiat. Oncol. Biol. Phys. 2020;107:873–886. doi: 10.1016/j.ijrobp.2020.05.008. - DOI - PubMed
    1. Blomain E.S., Moding E.J. Liquid Biopsies for Molecular Biology-Based Radiotherapy. Int. J. Mol. Sci. 2021;22:11267. doi: 10.3390/ijms222011267. - DOI - PMC - PubMed
    1. Cho W.K., Lee J., Youn S.M., Oh D., Lim D.H., Yoon H.G., Cho E.H., Noh J.M. Liquid biopsy using cfDNA to predict radiation therapy response in solid tumors. Radiat. Oncol. J. 2023;41:32–39. doi: 10.3857/roj.2022.00444. - DOI - PMC - PubMed
    1. Rosenlund L., Guldbrandsen K., Ahlborn L.B., Bloch M., Skougaard K., Albrecht-Beste E., Nellemann H.M., Krakauer M., Gortz P.M., Fledelius J., et al. ctDNA can detect minimal residual disease in curative treated non-small cell lung cancer patients using a tumor agnostic approach. Lung Cancer. 2025;203:108528. doi: 10.1016/j.lungcan.2025.108528. - DOI - PubMed

LinkOut - more resources