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Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancer
Open accessAbstract
BACKGROUND: The management of metastatic breast cancer requires monitoring of the tumor burden to determine the response to treatment, and improved biomarkers are needed. Biomarkers such as cancer antigen 15-3 (CA 15-3) and circulating tumor cells have been widely studied. However, circulating cell-free DNA carrying tumor-specific alterations (circulating tumor DNA) has not been extensively investigated or compared with other circulating biomarkers in breast cancer. METHODS: We compared the radiographic imaging of tumors with the assay of circulating tumor DNA, CA 15-3, and circulating tumor cells in 30 women with metastatic breast cancer who were receiving systemic therapy. We used targeted or whole-genome sequencing to identify somatic genomic alterations and designed personalized assays to quantify circulating tumor DNA in serially collected plasma specimens. CA 15-3 levels and numbers of circulating tumor cells were measured at identical time points. RESULTS: Circulating tumor DNA was successfully detected in 29 of the 30 women (97%) in whom somatic genomic alterations were identified; CA 15-3 and circulating tumor cells were detected in 21 of 27 women (78%) and 26 of 30 women (87%), respectively. Circulating tumor DNA levels showed a greater dynamic range, and greater correlation with changes in tumor burden, than did CA 15-3 or circulating tumor cells. Among the measures tested, circulating tumor DNA provided the earliest measure of treatment response in 10 of 19 women (53%). CONCLUSIONS: This proof-of-concept analysis showed that circulating tumor DNA is an informative, inherently specific, and highly sensitive biomarker of metastatic breast cancer. (Funded by Cancer Research UK and others.).
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Cites
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)
Eisenhauer, E. A., Therasse, P., Bogaerts, J., Schwartz, L. H., Sargent, D., Ford, R., Dancey, J., Arbuck, S., Gwyther, S., Mooney, M., et al. (2009) · European Journal of Cancer · doi:10.1016/j.ejca.2008.10.026 · Cited by 29,534
Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008
Ferlay, J., Shin, H., Bray, F., Forman, D., Mathers, C. D., & Parkin, D. M. (2010) · International Journal of Cancer · doi:10.1002/ijc.25516 · Cited by 21,468
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
METABRIC Group, Curtis, C., Shah, S. P., Chin, S.-F., Turashvili, G., Rueda, O. M., Dunning, M. J., Speed, D., Lynch, A. G., Samarajiwa, S., et al. (2012) · Nature · doi:10.1038/nature10983 · Cited by 6,097
Self-citationCirculating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer
Cristofanilli, M., Budd, G. T., Ellis, M. J., Stopeck, A., Matera, J., Miller, M. C., Reuben, J. M., Doyle, G. V., Allard, W. J., Terstappen, L. W. M. M., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa040766 · Cited by 4,602
Cox’s regression model for counting processes: A large sample study
Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345976 · Cited by 4,419
Isolation of rare circulating tumour cells in cancer patients by microchip technology
Nagrath, S., Sequist, L. V. D., Maheswaran, S., Bell, D. W., Irimia, D., Ulkus, L., Smith, M. R., Kwak, E. L., Digumarthy, S. R., Muzikansky, A., et al. (2007) · Nature · doi:10.1038/nature06385 · Cited by 3,595
Cell-free nucleic acids as biomarkers in cancer patients
Schwarzenbach, H., Hoon, D. S. �., & Pantel, K. (2011) · Nature reviews. Cancer · doi:10.1038/nrc3066 · Cited by 2,897
Research works printed but not linked: 2
- Lauro S, 1999, Anticancer Res, 19, 3511
- Chen X, 1999, Clin Cancer Res, 5, 2297
Cited by
Sorted by citations
Items 801–900 of 1,003
Yin, H., Zhang, M., Zhang, Y., Zhang, X., Zhang, B., & Zhang, B. (2025) · Molecular Biomedicine · doi:10.1186/s43556-025-00257-8 · Cited by 41
Molecular markers for breast cancer diagnosis, prognosis and targeted therapy
Lang, J. E., Wecsler, J. S., Press, M. F., & Tripathy, D. (2014) · Journal of Surgical Oncology · doi:10.1002/jso.23732 · Cited by 37
Real-time liquid biopsy: circulating tumor cells versus circulating tumor DNA.
Alix‐Panabières, C., & Pantel, K. (2013) · PubMed Central · doi:10.3978/j.issn.2305-5839.2013.06.02 · Cited by 37
A One-Page Summary Report of Genome Sequencing for the Healthy Adult
Vassy, J. L., McLaughlin, H. L., MacRae, C. A., Seidman, C. E., Lautenbach, D. M., Krier, J. B., Lane, W. J., Kohane, I. S., Murray, M. F., McGuire, A. L., et al. (2015) · Public Health Genomics · doi:10.1159/000370102 · Cited by 37
Monitoring the dynamics of clonal tumour evolution in vivo using secreted luciferases
Charles, J. P., Fuchs, J., Hefter, M., Vischedyk, J. B., Kleint, M., Vogiatzi, F., Schäfer, J., Nist, A., Timofeev, O. N., Wanzel, M., et al. (2014) · Nature Communications · doi:10.1038/ncomms4981 · Cited by 36
Doo, N. W., Makalic, E., Joo, J. E., Vajdic, C. M., Schmidt, D. F., Wong, E. M., Jung, C., Severi, G., Park, D. J., Chung, J., et al. (2015) · Epigenomics · doi:10.2217/epi.15.97 · Cited by 37
Reproducibility of Digital PCR Assays for Circulating Tumor DNA Analysis in Advanced Breast Cancer
Hrebien, S., O’Leary, B., Beaney, M., Schiavon, G., Fribbens, C. V., Bhambra, A., Johnson, R., García-Murillas, I., & Turner, N. C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165023 · Cited by 40
Response biomarkers: re-envisioning the approach to tailoring drug therapy for cancer
Amin, S., & Bathe, O. F. (2016) · BMC Cancer · doi:10.1186/s12885-016-2886-9 · Cited by 37
Stuart, C. H., Riley, K. R., Boyacıoğlu, O., Herpai, D., Debinski, W., Qasem, S. A., Marini, F. C., Colyer, C. L., & Gmeiner, W. H. (2016) · Molecular Therapy — Nucleic Acids · doi:10.1038/mtna.2016.91 · Cited by 37
Liquid Biopsy: Approaches to Dynamic Genotyping in Cancer
von Bubnoff, N. C. C. (2017) · Oncology Research and Treatment · doi:10.1159/000478864 · Cited by 38
Prognostic value of quantitative ctDNA levels in non small cell lung cancer patients
Provencio, M., Torrente, M., Calvo, V., Pérez-Callejo, D., Gutiérrez, L., Franco, F., Pérez-Barrios, C., Barquín, M., Royuela, A., Garcia‐García, F., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.22470 · Cited by 37
Targeted mutation detection in breast cancer using MammaSeq™
Smith, N. G., Gyanchandani, R., Shah, O. S., Gurda, G. T., Lucas, P. C., Hartmaier, R. J., Brufsky, A., Puhalla, S., Bahreini, A., Kota, K. J., et al. (2019) · Breast Cancer Research · doi:10.1186/s13058-019-1102-7 · Cited by 36
Ibrahim, J., de Beeck, K. O., Fransén, E., Peeters, M., & Camp, G. V. (2019) · Cancers · doi:10.3390/cancers11111810 · Cited by 37
Li, X., Lu, J., Zhang, L., Luo, Y., Zhao, Z., & Li, M. (2019) · Translational Oncology · doi:10.1016/j.tranon.2019.11.007 · Cited by 40
Concentration of cell-free DNA in different tumor types
Bryzgunova, O. E., Konoshenko, M. Y., & Laktionov, P. P. (2020) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2020.1860021 · Cited by 37
Παναγοπούλου, Μ., Esteller, M., & Chatzaki, Ε. (2021) · Cancers · doi:10.3390/cancers13040728 · Cited by 37
Welter, L. M., Xu, L., McKinley, D., Dago, A. E., Prabakar, R. K., Restrepo-Vassalli, S., Xu, K., Rodrı́guez-Lee, M., Kolatkar, A. R., Nevarez, R., et al. (2020) · Molecular Case Studies · doi:10.1101/mcs.a005819 · Cited by 37
Strategic approaches in oral squamous cell carcinoma diagnostics using liquid biopsy
Kinane, D. F., Gabert, J., Xynopoulos, G., & Guzeldemir-Akcakanat, E. (2024) · Periodontology 2000 · doi:10.1111/prd.12567 · Cited by 38
Gingras, I., Salgado, R., & Ignatiadis, M. (2015) · Current Opinion in Oncology · doi:10.1097/cco.0000000000000223 · Cited by 38
Smith, E. N., Jepsen, K., Khosroheidari, M., Rassenti, L. Z., D’Antonio, M., Ghia, E. M., Carson, D. A., Jamieson, C. H. M., Kipps, T. J., & Frazer, K. A. (2014) · Genome biology · doi:10.1186/preaccept-1251182501124451 · Cited by 35
Gangeh, M. J., Tadayyon, H., Sannachi, L., Naini, A. S., Tran, W. T., & Czarnota, G. J. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2495246 · Cited by 36
Optoacoustic Detection of Early Therapy-Induced Tumor Cell Death Using a Targeted Imaging Agent
Xie, B., Tomaszewski, M. R., Neves, A., R�os, S., Hu, D., McGuire, S., Mullins, S., Tice, D. A., Sainson, R. C. A., Bohndiek, S. E., et al. (2017) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-1029 · Cited by 36
Wu, T., Chen, W., Yang, W., Tan, H., Wang, J., Xiao, X., Li, M., & Zhao, M. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1218 · Cited by 37
Circulating Tumor Cells and Circulating Tumor DNA
Lianidou, E. S., & Hoon, D. S. �. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-816061-9.00009-6 · Cited by 36
Suppan, C., Brčić, I., Tiran, V., MUELLER, H. ‐., Posch, F., Auer, M., Ercan, E., Ulz, P., Côté, R. J., Datar, R. H., et al. (2019) · Cancers · doi:10.3390/cancers11081171 · Cited by 36
Liquid Biopsy: Application in Early Diagnosis and Monitoring of Cancer
Feng, J., Li, B., Ying, J., Pan, W., Liu, C., Luo, T., Lin, H., & Zheng, L. (2020) · Small Structures · doi:10.1002/sstr.202000063 · Cited by 37
Keup, C., Suryaprakash, V., Storbeck, M., Hoffmann, O., Kimmig, R., & Kasimir‐Bauer, S. (2021) · Cells · doi:10.3390/cells10020212 · Cited by 39
Danesi, R., Lo, Y. M. D., Oellerich, M., Beck, J., Galbiati, S., Re, M. D., Lianidou, E. S., Neumaier, M., & van Schaik, R. H. N. (2021) · Clinica Chimica Acta · doi:10.1016/j.cca.2021.05.033 · Cited by 36
Clinical implementation and current advancement of blood liquid biopsy in cancer
Watanabe, K., Nakamura, Y., & Low, S. (2021) · Journal of Human Genetics · doi:10.1038/s10038-021-00939-5 · Cited by 37
Liebs, S., Eder, T., Klauschen, F., Schütte, M., Yaspo, M., Keilholz, U., Tinhofer, I., Kidess, E., & Braunholz, D. (2021) · Oncogene · doi:10.1038/s41388-021-01928-w · Cited by 38
Circulating tumor DNA: a noninvasive biomarker for tracking ovarian cancer
Yang, F., Tang, J., Zhao, Z., Zhao, C., & Xiang, Y. (2021) · Reproductive Biology and Endocrinology · doi:10.1186/s12958-021-00860-8 · Cited by 38
An Exposure to the Oxidized DNA Enhances Both Instability of Genome and Survival in Cancer Cells
Kostyuk, S. V., Konkova, M. S., Ershova, E. S., Alekseeva, A. Y., Smirnova, T. D., Stukalov, S. V., Kozhina, E. A., Шилова, Н. В., Zolotukhina, T. V., Маркова, Ж. Г., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077469 · Cited by 37
Words Matter: Distinguishing "Personalized Medicine" and "Biologically Personalized Therapeutics"
Cherny, N. I., de Vries, E. G. E., Emanuel, L., Fallowfield, L. J., Francis, P. A., Gabizon, A., Piccart, M. J., Sidransky, D., Soussan‐Gutman, L., & Tziraki, C. (2014) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dju321 · Cited by 40
Ferreira, E. N., Barros, B. D. D. F., de Souza, J. E., de Almeida, R. V. B., Torrezan, G. T., Garcia, S., Krepischi, A. C. V., de Mello, C. A. L., da Cunha, I. W., Pinto, C. A. L., et al. (2016) · Human Genomics · doi:10.1186/s40246-016-0092-0 · Cited by 36
Zaccagna, F., Grist, J. T., Deen, S. S., Woitek, R., Lechermann, L. M., McLean, M. A., Basu, B., & Gallagher, F. A. (2018) · British Journal of Radiology · doi:10.1259/bjr.20170688 · Cited by 36
Circulating tumor cells in colorectal cancer in the era of precision medicine
Hu, M., Wang, Z., Wu, Z., Ding, P., Pei, R., Wang, Q., & Xing, C. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-021-02162-3 · Cited by 38
Li, M., Hu, S. C., Lei, H.-H., Meng, Y., Xu, L., Hou, W.-K., Huang, X.-J., Xiao, B.-W., Yu, T., Zhang, X., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54706-z · Cited by 38
Xie, J., Gao, Y., Zhao, R., Sinko, P. J., Gu, S., Wang, J., Li, Y., Lu, Y., Yu, S., Wang, L., et al. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.04.036 · Cited by 35
Translational utility of next-generation sequencing
Ong, F. S.-C., Lin, J., Das, K., Grosu, D. S., & Fan, J. (2013) · Genomics · doi:10.1016/j.ygeno.2013.04.012 · Cited by 35
Vaca‐Paniagua, F., Oliver, J., da Costa, A. N., Merle, P., McKay, J., Herceg, Z., & Holmila, R. J. (2015) · Epigenomics · doi:10.2217/epi.14.94 · Cited by 35
Stadler, J. T., Eder, J., Pratscher, B., Brandt, S., Schneller, D., Müllegger, R., Vogl, C., Trautinger, F., Brem, G., & Burgstaller, J. P. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142273 · Cited by 35
Yamauchi, M., Urabe, Y., Ono, A., Miki, D., Ochi, H., & Chayama, K. (2017) · International Journal of Cancer · doi:10.1002/ijc.31154 · Cited by 35
The Omics Revolution Continues: The Maturation of High-Throughput Biological Data Sources
Mathé, E. A., Hays, J. L., Stover, D. G., & Chen, J. L. (2018) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1667085 · Cited by 33
Using plasma cell‐free DNA to monitor the chemoradiotherapy course of cervical cancer
Tian, J., Geng, Y., Lv, D., Li, P., Córdova‐Delgado, M., Liao, Y., Tian, X., Zhang, X., Zhang, Q., Zou, K., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32295 · Cited by 35
Remón, J., García‐Campelo, R., de Álava, E., Vera, R., Rodríguez‐Peralto, J. L., Rodríguez-Lescure, Á., Bellosillo, B., Garrido, P., Rojo, F., & Álvarez-Alegret, R. (2019) · Clinical & Translational Oncology · doi:10.1007/s12094-019-02211-x · Cited by 37
Jayaram, A., Wingate, A., Wetterskog, D., Conteduca, V., Khalaf, D. J., Sharabiani, M. T. A., Calabrò, F., Barwell, L., Feyerabend, S., Grande, E., et al. (2019) · JCO Precision Oncology · doi:10.1200/po.19.00123 · Cited by 35
Circulating tumor DNA in colorectal cancer: opportunities and challenges.
Bi, F., Wang, Q., Dong, Q., Wang, Y., Zhang, L., & Zhang, J. (2020) · PubMed Central · Cited by 35
Vafaei, S., Roudi, R., Madjd, Z., Aref, A. R., & Ebrahimi, M. (2020) · Cancer Cell International · doi:10.1186/s12935-020-01389-3 · Cited by 35
Wang, N., Zhang, X., Wang, F., Zhang, M., Sun, B., Yin, W., Deng, S., Wan, Y., & Lü, W. (2020) · SLAS TECHNOLOGY · doi:10.1177/2472630320939565 · Cited by 38
Fang, X., Xu, Y., Li, K., Liu, P., Zhang, H., Jiang, Y., Tang, J., & Li, Y. (2022) · Journal of Immunology Research · doi:10.1155/2022/9916228 · Cited by 35
Circulating Cell Free DNA in the Diagnosis of Trophoblastic Tumors
Openshaw, M. R., Harvey, R. A., Sebire, N. J., Kaur, B. S., Sarwar, N., Seckl, M. J., & Fisher, R. A. (2015) · EBioMedicine · doi:10.1016/j.ebiom.2015.12.022 · Cited by 35
Established and Novel Prognostic Biomarkers in Multiple Myeloma
Bustoros, M. W., Mouhieddine, T. H., Detappe, A., & Ghobrial, I. M. (2017) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_175175 · Cited by 35
Butler, T. M., Boniface, C. T., Johnson-Camacho, K., Tabatabaei, S., Melendez, D., Kelley, T., Gray, J. W., Corless, C. L., & Spellman, P. T. (2019) · Molecular Case Studies · doi:10.1101/mcs.a003772 · Cited by 34
Wyatt, A. W., Litière, S., Bidard, F., Cabel, L., Dyrskjøt, L., Karlovich, C., Pantel, K., Petrie, J., Philip, R., Andrews, H. S., et al. (2024) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-24-1883 · Cited by 34
Advancing precision and personalized breast cancer treatment through multi-omics technologies
Zhang, C. (2024) · American Journal of Cancer Research · doi:10.62347/mwnz5609 · Cited by 34
Clinical Implementation of Integrated Genomic Profiling in Patients with Advanced Cancers
Borad, M. J., Egan, J. B., Condjella, R. M., Liang, W. S., Fonseca, R., Ritacca, N. R., McCullough, A. E., Barrett, M. T., Hunt, K. S., Champion, M. D., et al. (2016) · Scientific Reports · doi:10.1038/s41598-016-0021-4 · Cited by 34
Yang, M., Topaloĝlu, Ü., Petty, W. J., Pagni, M., Foley, K. L., Grant, S. C., Robinson, M., Bitting, R. L., Thomas, A., Alistar, A. T., et al. (2017) · Journal of Hematology & Oncology · doi:10.1186/s13045-017-0468-1 · Cited by 34
Long-Mira, É., Ilié, M., Chamorey, E., Leduff-Blanc, F., Montaudié, H., Tanga, V., Allégra, M., Lespinet‐Fabre, V., Bordone, O., Bonnetaud, C., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.26343 · Cited by 34
Zorofchian, S., Iqbal, F., Rao, M., Aung, P. P., Esquenazi, Y., & Ballester, L. Y. (2018) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2018-205414 · Cited by 33
Cancer Treatment in the Genomic Era
Doherty, G. J., Petruzzelli, M., Beddowes, E. J., Ahmad, S. S., Caldas, C., & Gilbertson, R. J. (2019) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-062917-011840 · Cited by 36
Self-citationProgress towards molecular-based management of childhood Langerhans cell histiocytosis
Héritier, S., Emile, J., Hélias‐Rodzewicz, Z., & Donadieu, J. (2019) · Archives de Pédiatrie · doi:10.1016/j.arcped.2019.05.015 · Cited by 35
Circulating Tumor DNA Analyses Predict Disease Recurrence in Non-Muscle-Invasive Bladder Cancer
Zhang, J., Dai, D., Tian, J., Li, L., Bai, J., Xu, Y., Wang, Z., & Tang, A. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.657483 · Cited by 34
Lung cancer induced by Benzo(A)Pyrene: ChemoProtective effect of sinapic acid in swiss albino mice
Hu, X., Geetha, R. V., Surapaneni, K. M., Veeraraghavan, V. P., Chinnathambi, A., Alahmadi, T. A., Manikandan, V., & Manokaran, K. (2021) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2021.08.001 · Cited by 34
Socio-economic burden of disease: Survivorship costs for bladder cancer
Michaeli, J. C., Boch, T., Albers, S., Michaeli, T., & Michaeli, D. T. (2022) · Journal of Cancer Policy · doi:10.1016/j.jcpo.2022.100326 · Cited by 36
Li, S., Xin, K., Pan, S., Wang, Y., Zheng, J., Li, Z., Liu, X., Liu, B., Xu, Z., & Chen, X. (2023) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-023-00442-z · Cited by 34
Färkkilä, A., McConechy, M. K., Yang, W., Talhouk, A., Ng, Y., Lum, A. M., Morin, R. D., Bushell, K. R., Riska, A., McAlpine, J. N., et al. (2016) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2016.08.005 · Cited by 34
Liquid Biopsies: Emerging role and clinical applications in solid tumours
Sisodiya, S., Kasherwal, V., Khan, A., Roy, B., Goel, A., Kumar, S., Arif, N., Tanwar, P., & Hussain, S. (2023) · Translational Oncology · doi:10.1016/j.tranon.2023.101716 · Cited by 36
Sclafani, F., Smyth, E. C., Cunningham, D., Chau, I., Turner, A., & Watkins, D. J. (2013) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2013.11.003 · Cited by 33
Glinsky, G. V. (2016) · Cancer Letters · doi:10.1016/j.canlet.2016.04.014 · Cited by 31
Analysis of Circulating Tumor Cells in Breast Cancer
Eroglu, Z., Fielder, O., & Somlo, G. (2013) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2013.0118 · Cited by 33
Vargas, D. Y., Kramer, F. R., Tyagi, S., & Marras, S. A. E. (2016) · PLoS ONE · doi:10.1371/journal.pone.0156546 · Cited by 32
Perdigones, N., & Murtaza, M. (2017) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.02.003 · Cited by 33
Self-citationCabel, L., Bidard, F., Servois, V., Cacheux, W., Mariani, P., Romano, E., Minsat, M., Bièche, I., Farkhondeh, F., Jeannot, E., et al. (2017) · International Journal of Cancer · doi:10.1002/ijc.30863 · Cited by 33
A Novel Method to Detect Early Colorectal Cancer Based on Chromosome Copy Number Variation in Plasma
Xu, J., Kang, Q., Ma, X.-Y., Pan, Y., Yang, L., Jin, P., Wang, X., Li, C., Chen, X., Wu, C., et al. (2018) · Cellular Physiology and Biochemistry · doi:10.1159/000487571 · Cited by 31
Circulating tumour-derived DNA in metastatic soft tissue sarcoma
Eastley, N. C., Ottolini, B., Neumann, R., Luo, J., Hastings, R. K., Khan, I., Moore, D. A., Esler, C. P., Shaw, J., Royle, N. J., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.24278 · Cited by 33
Cell-Free Plasma DNA for Disease Stratification and Prognosis in Head and Neck Cancer
Schirmer, M., Beck, J., Leu, M., Oellerich, M., Rave‐Fränk, M., Walson, P. D., Schütz, E., & Canis, M. (2018) · Clinical Chemistry · doi:10.1373/clinchem.2017.285668 · Cited by 33
Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer
McKenna, M. T., Weis, J. A., Brock, A., Quaranta, V., & Yankeelov, T. E. (2018) · Translational Oncology · doi:10.1016/j.tranon.2018.03.009 · Cited by 33
The potential of ctDNA analysis in breast cancer
Tzanikou, E., & Lianidou, E. S. (2019) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2019.1670615 · Cited by 33
Chang, S., Liew, P., Ansar, M., Lin, S.-Y., Wang, S.-C., Hung, C., Chen, J.-Y., Jain, S., & Lin, R.-K. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00855-z · Cited by 33
Henry, N. L., Shah, P. D., Haider, I., Freer, P. E., Jagsi, R., & Sabel, M. S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-47674-4.00088-8 · Cited by 37
Mao, L., Jia, Y., Xu, J., Cheng, X., & Xu, C. (2017) · Annals of Hematology · doi:10.1007/s00277-017-3043-5 · Cited by 33
Peng, L., Yang, Y. J., Guo, R., Mao, Y., Xu, C., Chen, Y., Sun, Y. H., Ma, J., & Tang, L. (2018) · Cancer Medicine · doi:10.1002/cam4.1858 · Cited by 33
A comprehensive overview of liquid biopsy applications in pediatric solid tumors
Janssen, F. W., Lak, N. S. M., Janda, C. Y., Kester, L. A., Meister, M. T., Merks, J. H. M., van den Heuvel-Eibrink, M. M., van Noesel, M. M., Zsiros, J., Tytgat, G. A. M., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00657-z · Cited by 32
Extrachromosomal DNA (ecDNA) in cancer: mechanisms, functions, and clinical implications
Dong, Y., He, Q., Chen, X., Yang, F., He, L., & Zheng, Y. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1194405 · Cited by 36
Chen, J. H., Addanki, S., Roy, D., Bassett, R. L., Kalashnikova, E. V., Spickard, E. A., Kuerer, H. M., Meas, S., Sarli, V. N., Korkut, A., et al. (2024) · BMC Cancer · doi:10.1186/s12885-024-12689-6 · Cited by 32
Mining nucleic acid “omics” to boost liquid biopsy in cancer
Tivey, A., Lee, R. J., Clipson, A., Hill, S. M., Lorigan, P. C., Rothwell, D. G., Dive, C., & Mouliere, F. C. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101736 · Cited by 34
Allen, J. E., Saroya, B. S., Kunkel, M., Dicker, D. T., Das, A., Peters, K. L., Joudeh, J., Zhu, J., & El‐Deiry, W. S. (2013) · Oncotarget · doi:10.18632/oncotarget.1524 · Cited by 32
Highly sensitive and quantitative evaluation of the EGFR T790M mutation by nanofluidic digital PCR
Iwama, E., Takayama, K., Harada, T., Okamoto, I., Ookubo, F., Kishimoto, J., Baba, E., Oda, Y., & Nakanishi, Y. (2015) · Oncotarget · doi:10.18632/oncotarget.4058 · Cited by 32
The '–omics' revolution and oesophageal adenocarcinoma
Weaver, J. M. J., Ross-Innes, C. S., & Fitzgerald, R. C. (2013) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2013.150 · Cited by 34
Analysis of tumor-derived DNA in plasma and bone marrow fluid in lung cancer patients
Goto, T., Hirotsu, Y., Oyama, T., Amemiya, K., & Omata, M. (2016) · Medical Oncology · doi:10.1007/s12032-016-0744-x · Cited by 33
The detection and significance of EGFR and BRAF in cell-free DNA of peripheral blood in NSCLC
Yang, Y., Shen, X., Li, R., Shen, J., Zhang, H., Yu, L., Liu, B., & Wang, L. (2017) · Oncotarget · doi:10.18632/oncotarget.17937 · Cited by 31
Kamps‐Hughes, N., McUsic, A., Kurihara, L. J., Harkins, T. T., Pal, P., Ray, C., & Ionescu‐Zanetti, C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195272 · Cited by 32
Liquid biopsy to monitor melanoma patients
Gaiser, M. R., von Bubnoff, N. C. C., Gebhardt, C., & Utikal, J. S. (2018) · JDDG Journal der Deutschen Dermatologischen Gesellschaft · doi:10.1111/ddg.13461 · Cited by 34
Medford, A. J., Dubash, T. D., Juric, D., Spring, L. M., Niemierko, A., Vidula, N., Peppercorn, J. M., Isakoff, S. J., Reeves, B. A., LiCausi, J. A., et al. (2019) · npj Precision Oncology · doi:10.1038/s41698-019-0090-5 · Cited by 32
Detection and Diagnostic Utilization of Cellular and Cell-Free Tumor DNA
Dudley, J. C., & Diehn, M. (2020) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012419-032604 · Cited by 31
Burck, N., Gilboa, T., Gadi, A., Nehrer, M. P., Schneider, R. J., & Meller, A. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa328 · Cited by 32
DNA methylation fingerprint of hepatocellular carcinoma from tissue and liquid biopsies
Gonçalves, E., Gonçalves-Reis, M., Pereira‐Leal, J. B., & Cardoso, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-15058-0 · Cited by 32
Circulating free DNA in the management of breast cancer.
Shaw, J., & Stebbing, J. (2014) · PubMed Central · doi:10.3978/j.issn.2305-5839.2013.06.06 · Cited by 34
Analysis of DNA Methylation Status in Bodily Fluids for Early Detection of Cancer
Yokoi, K., Yamashita, K., & Watanabe, M. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18040735 · Cited by 32
Lou, E., Vogel, R. I., Teoh, D. G. K., Hoostal, S., Grad, A., Gerber, M., Monu, M. S., Łukaszewski, T., Deshpande, J., Linden, M. A., et al. (2017) · Laboratory Medicine · doi:10.1093/labmed/lmx084 · Cited by 32
Metadata
- Authors
- Dawson, S.-J., Tsui, D. W. Y., Murtaza, M., Biggs, H., Rueda, O. M., Chin, S.-F., Dunning, M. J., Gale, D., Forshew, T., Mahler-Araujo, B., Rajan, S., Humphray, S., Becq, J., Halsall, D., Wallis, M., Bentley, D., Caldas, C., & Rosenfeld, N.
- Affiliations
- University of Cambridge (GB)
- National Health Service (GB)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2013-03-28
- Volume
- 368
- Issue
- 13
- Pages
- 1199-1209
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2140575188
- Cited by
- 2,207
- References
- 44
- Citations by year
- 2026: 86 · 2025: 96 · 2024: 106 · 2023: 109 · 2022: 169 · 2021: 180 · 2020: 197 · 2019: 220 · 2018: 197 · 2017: 224 · 2016: 204 · 2015: 195 · 2014: 135 · 2013: 82
- FWCI
- 72.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Cancer Research UK (11906, 16942, 22310)
- National Institute for Health and Care Research (NF-SI-0611-10154)
- NIHR Cambridge Biomedical Research Centre
- Cancer Research UK Cambridge Institute, University of Cambridge
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- circulating tumor DNA, metastatic breast cancer, liquid biopsy, CA15-3, circulating tumor cells, treatment response monitoring, tumor burden, somatic alterations, circulating biomarkers, early detection of treatment response
- MeSH terms
- Breast Neoplasms, DNA, Neoplasm, Female, Humans, Mutation, Neoplasm Metastasis, Prognosis, Radiography, Sensitivity and Specificity, Biomarkers, Tumor, Sequence Analysis, DNA, Mucin-1, Tumor Burden, Genome-Wide Association Study
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