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Moding, E. Molecular Radiobiology with Liquid Biopsies. Encyclopedia. Available online: (accessed on 19 June 2024).
Moding E. Molecular Radiobiology with Liquid Biopsies. Encyclopedia. Available at: Accessed June 19, 2024.
Moding, Everett. "Molecular Radiobiology with Liquid Biopsies" Encyclopedia, (accessed June 19, 2024).
Moding, E. (2021, October 29). Molecular Radiobiology with Liquid Biopsies. In Encyclopedia.
Moding, Everett. "Molecular Radiobiology with Liquid Biopsies." Encyclopedia. Web. 29 October, 2021.
Molecular Radiobiology with Liquid Biopsies

Using liquid biopsy techniques including ctDNA analysis as tools to study radiobiology in patients with cancer.

liquid biopsies radiation biology tumor evolution

1. Unique Insights into Tumor Heterogeneity and Clonal Evolution

In addition to being a powerful biomarker to enable personalized cancer therapy, liquid biopsies provide a unique window into tumor biology that can be sampled at multiple time points over the course of the natural history of disease and throughout therapy. Recent studies have highlighted the substantial genetic heterogeneity that can exist with human tumors[1]. The accumulation of mutations, genetic drift, and selective pressures within the tumor microenvironment can lead to tumor evolution that can impact how cancers respond to treatment[2]. Multi-region sequencing has suggested that early tumor development may generally occur under weak evolutionary pressures[3][4] but that selection appears to increase at later stages of tumor development and metastasis[5][6][7]. However, the impact of intratumoral heterogeneity on radiotherapy outcomes remains to be defined. Modeling experiments suggest that subclones with heterogenous radiosensitivity could be a major determinant in treatment response[8]. Further, although there is strong evidence that systemic therapy selects resistant subclones that lead to disease progression[9], the effect of radiotherapy on tumor evolution in acquired resistance to radiotherapy is less clear. The sequencing of pre- and post-treatment samples from patients undergoing chemoradiotherapy for rectal cancer suggested that radiotherapy can substantially impact the clonal architecture and can potentially select resistant subclones[10]. Additionally, retrospective clinical studies have reported worse local control after reirradiation compared to initial treatment with radiotherapy[11][12], but these studies are confounded by lower doses of radiation in the reirradiation setting due to concern for toxicity.
Two major limitations to studying clonal evolution during radiotherapy are (1) sampling biases related to analyzing one or a few regions within a patient’s tumor and (2) a lack of longitudinal specimens to study clonal dynamics. ctDNA has the potential to be released from all of the tumor cells in a patient and can be sampled longitudinally from routine blood draws, making it a powerful tool to characterize clonal evolution (Figure 1). Multiple studies have applied ctDNA analysis to monitor clonal evolution during the treatment of patients with systemic therapy. For example, analysis of paired pre-treatment and end-of-treatment ctDNA samples demonstrated clear evidence of resistant subclone selection during the treatment of metastatic estrogen receptor-positive breast cancer with CDK4/6 inhibition and endocrine therapy[13]. In addition, ctDNA analysis demonstrated that subclonal tumor populations contribute to relapse after surgery and adjuvant chemotherapy for early stage lung cancer[14]. As a result, longitudinal ctDNA analysis and subclone tracking could help to clarify the modes of tumor evolution during radiotherapy.
Figure 1

2. Identifying Mediators of Radiotherapy Resistance and Sensitivity

Innovative approaches will be necessary to identify novel mediators of radiotherapy resistance that can inform precision therapy. In most cancers, the first assessment of treatment response after radiotherapy does not occur until months after the completion of treatment, making it challenging to identify rapid responders. The radiation-induced inflammatory and fibrotic tissue changes described above also complicate early response assessment to radiotherapy with imaging. ctDNA kinetics during treatment represent novel markers of treatment response that may enable the identification of rapid responders[15]. Characterization of these ctDNA rapid responders could help to identify the molecular signatures that underly radiosensitivity to enable the pre-treatment identification of patients who will respond favorably to treatment.
In addition to elucidating the biology of upfront treatment response, liquid biopsies can help to identify expanding and emergent mutations that may contribute to treatment resistance. For example, a prospective study of patients undergoing targeted therapy for gastrointestinal cancers found that ctDNA analysis identified resistance alterations not identified from matched tumor sequencing in 78% of cases[16]. Furthermore, multiple resistance alterations were identified in 40% of patients by ctDNA analysis compared to only 9% of patients by matched tumor sequencing. Several additional studies have also leveraged ctDNA analysis to identify mechanisms of resistance to systemic therapy[17][18][19][20]. Taken together, the liquid biopsy approaches discussed in this entry improve upon existing methodologies for studying tumor evolution and provide a novel opportunity to investigate tumor radiation biology.


  1. McGranahan, N.; Swanton, C. Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. Cancer Cell 2015, 27, 15–26.
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  13. O’Leary, B.; Cutts, R.J.; Liu, Y.; Hrebien, S.; Huang, X.; Fenwick, K.; André, F.; Loibl, S.; Loi, S.; Garcia-Murillas, I.; et al. The genetic landscape and clonal evolution of breast cancer resistance to palbociclib plus fulvestrant in the PALOMA-3 trial. Cancer Discov. 2018, 8, 1390–1403.
  14. Abbosh, C.; Birkbak, N.J.; Wilson, G.A.; Jamal-Hanjani, M.; Constantin, T.; Salari, R.; Le Quesne, J.; Moore, D.A.; Veeriah, S.; Rosenthal, R.; et al. Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution. Nature 2017, 545, 446–451.
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  16. Parikh, A.R.; Leshchiner, I.; Elagina, L.; Goyal, L.; Levovitz, C.; Siravegna, G.; Livitz, D.; Rhrissorrakrai, K.; Martin, E.E.; Van Seventer, E.E.; et al. Liquid versus tissue biopsy for detecting acquired resistance and tumor heterogeneity in gastrointestinal cancers. Nat. Med. 2019, 25, 1415–1421.
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Subjects: Oncology
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