Page 77 - GTM-1-1
P. 77

Global Translational Medicine                                   ctDNA in management of patients with NSCLC



              Apart from prediction of therapeutic response, ctDNA   Writing – original  draft: Yi-Chen Jin, Man-Qi Wu,
            can monitor the formation of drug resistance in real-  Ke-Zhong Chen
            time. Horn et al.  studied longitudinal ctDNA dynamic   Writing – review & editing: Ke-Zhong Chen, Jun Wang.
                         [74]
            changes during ALK  TKI procedure in  76  patients
            with ALK+NSCLC who were enrolled in the Phase I/II   References
            multicohort eXalt2 trial. Various baseline subset mutations   1.   Sung H, Ferlay J, Siegel RL,  et al., 2021, Global cancer
            at ALK were observed and dynamic changes of mutation   statistics 2020: GLOBOCAN estimates of incidence and
            proportion or types happened as the therapy went on.   mortality worldwide for 36 cancers in 185 countries.  CA
            In a classical case, the patient who had prior medication   Cancer J Clin, 71(3): 209–249.
            history of crizotinib and ceritinib had  ALK L1152V      https://doi.org/10.3322/caac.21660
            and G1269A baseline mutations, but these mutations
            disappeared when he experienced partial response during   2.   Thai AA, Solomon BJ, Sequist LV, et al., 2021, Lung cancer.
            ensartinib treatment. At last, new ALK mutation E1210K   Lancet, 398(10299): 535–554.
            was detected at the time of radiographic progression. This      https://doi.org/10.1016/S0140-6736(21)00312-3
            research suggests that ctDNA can monitor dynamic clonal   3.   Goldstraw P, Chansky K, Crowley J, et al., 2016, The IASLC
            evolution and guide selective pressures by therapy .  lung cancer staging project: Proposals for revision of the
                                                    [8]
              As for the future direction of this field, the timepoint to   TNM stage groupings in the forthcoming (Eighth) edition
            check  ctDNA  and  modulate  therapy  schedule  is  definitely   of the TNM classification for lung cancer. J Thorac Oncol,
            major research topics in MRD detection. Recent studies lack a   11(1): 39–51.
            unified standard and literature focusing on NSCLC in dynamic      https://doi.org/10.1016/j.jtho.2015.09.009
            evolution during adjuvant therapy are scarce . Balancing   4.  Pantel  K,  Alix-Panabières  C,  2017,  Tumour
                                                [16]
            the benefit and toxicity to decide the most appropriate time   microenvironment: Informing on minimal residual disease
            to withdraw or escalate the therapy will undoubtedly achieve   in solid tumours. Nat Rev Clin Oncol, 14(6): 325–326.
            maximum benefits for patients of all stages .
                                            [75]
                                                                  https://doi.org/10.1038/nrclinonc.2017.53
            5. Summary                                         5.   Diaz LA Jr., Bardelli A, 2014, Liquid biopsies: Genotyping
            ctDNA is a potential biomarker, which plays an instrumental   circulating tumor DNA. J Clin Oncol, 32(6): 579–586.
            role in the whole treatment process of NSCLC with high      https://doi.org/10.1200/JCO.2012.45.2011
            accuracy. It demonstrates wide utility in early detection   6.   Avanzini S, Kurtz DM, Chabon JJ, et al., 2020, A mathematical
            to screen underlying cancer, in MRD detection to predict   model of ctDNA shedding predicts tumor detection size. Sci
            long-term prognosis, and in treatment arrangement to   Adv, 6(50): eabc4308.
            guide more precise and effective therapeutic schedule.
                                                                  https://doi.org/10.1126/sciadv.abc4308
            Acknowledgments                                    7.   Jaiswal S, Fontanillas P, Flannick J, et al., 2014, Age-related
                                                                  clonal  hematopoiesis  associated  with  adverse  outcomes.
            We thank Kai Zhang and Su-Jie Zhang for their guidance   N Engl J Med, 371(26): 2488–2498.
            and inspiration on this review’s structure and arguments.
                                                               8.   Siravegna G, Marsoni S, Siena S,  et  al., 2017, Integrating
            Funding                                               liquid biopsies into the management of cancer. Nat Rev Clin
                                                                  Oncol, 14(9): 531–548.
            This study was supported by Research Unit of Intelligence
            Diagnosis and  Treatment  in Early NSCLC,  Chinese      https://doi.org/10.1038/nrclinonc.2017.14
            Academy of Medical Sciences (2021RU002), National   9.   Zhao H, Chen KZ, Hui BG, et al., 2018, Role of circulating
            Natural Science Foundation of China (No.  82072566)   tumor DNA in the management of early-stage lung cancer.
            and Peking University People’s Hospital Research and   Thorac Cancer, 9(5): 509–515.
            Development Funds (RS2019-01).                        https://doi.org/10.1111 / 1759-7714.12622
            Conflict of interest                               10.  Mouliere F, Rosenfeld N, 2015, Circulating tumor-derived
                                                                  DNA is shorter than somatic DNA in plasma.  Proc Natl
            No potential conflicts of interest were disclosed.    Acad Sci U S A, 112(11): 3178–3179.
            Author contribution                                11.  Chen K, Zhao H, Shi Y, et al., 2019, Perioperative dynamic
                                                                  changes in circulating tumor DNA in patients with lung
            Conceptualization: Yi-Chen Jin, Man-Qi Wu, Ke-Zhong   cancer (DYNAMIC). Clin Cancer Res, 25(23): 7058–7067.
               Chen                                               https://doi.org/10.1158 / 1078-0432.CCR-19-1213


            Volume 1 Issue 1 (2022)                         10                      https://doi.org/10.36922/gtm.v1i1.96
   72   73   74   75   76   77   78   79   80   81   82