The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Early Detection of Molecular Residual Disease in Localized Lung Cancer by Circulating Tumor DNA Profiling
Open accessAbstract
Identifying molecular residual disease (MRD) after treatment of localized lung cancer could facilitate early intervention and personalization of adjuvant therapies. Here, we apply cancer personalized profiling by deep sequencing (CAPP-seq) circulating tumor DNA (ctDNA) analysis to 255 samples from 40 patients treated with curative intent for stage I–III lung cancer and 54 healthy adults. In 94% of evaluable patients experiencing recurrence, ctDNA was detectable in the first posttreatment blood sample, indicating reliable identification of MRD. Posttreatment ctDNA detection preceded radiographic progression in 72% of patients by a median of 5.2 months, and 53% of patients harbored ctDNA mutation profiles associated with favorable responses to tyrosine kinase inhibitors or immune checkpoint blockade. Collectively, these results indicate that ctDNA MRD in patients with lung cancer can be accurately detected using CAPP-seq and may allow personalized adjuvant treatment while disease burden is lowest. Significance: This study shows that ctDNA analysis can robustly identify posttreatment MRD in patients with localized lung cancer, identifying residual/recurrent disease earlier than standard-of-care radiologic imaging, and thus could facilitate personalized adjuvant treatment at early time points when disease burden is lowest. Cancer Discov; 7(12); 1394–403. ©2017 AACR. See related commentary by Comino-Mendez and Turner, p. 1368. This article is highlighted in the In This Issue feature, p. 1355
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An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage
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“Circulating tumor DNA (ctDNA) has been shown to identify MRD shortly after completion of local therapy in patients with non-metastatic breast and colon cancers using assays that require personalization (7,8).”
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Current and future perspectives of liquid biopsies in genomics-driven oncology
Heitzer, E., Haque, I. S., Roberts, C. E. S., & Speicher, M. R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-018-0071-5 · Cited by 1,557
Liquid biopsy and minimal residual disease - latest advances and implications for cure
Pantel, K., & Alix-Panabières, C. (2019) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-019-0187-3 · Cited by 1,110
Pascual, J., Attard, G., Bidard, F.-C., Curigliano, G., De Mattos-Arruda, L., Diehn, M., Italiano, A., Lindberg, J., Merker, J. D., Montagut, C., et al. (2022) · Annals of Oncology · doi:10.1016/j.annonc.2022.05.520 · Cited by 783
Self-citationRolfo, C., Mack, P., Scagliotti, G. V., Aggarwal, C., Arcila, M. E., Barlesi, F., Bivona, T., Diehn, M., Dive, C., Dziadziuszko, R., et al. (2021) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2021.06.017 · Cited by 683
Self-citationTie, J., Cohen, J. D., Wang, Y., Christie, M., Simons, K., Lee, M., Wong, R., Kosmider, S., Ananda, S., McKendrick, J., et al. (2019) · JAMA Oncology · doi:10.1001/jamaoncol.2019.3616 · Cited by 668
Metadata
- Authors
- Chaudhuri, A. A., Chabon, J. J., Lovejoy, A. F., Newman, A. M., Stehr, H., Azad, T. D., Khodadoust, M. S., Esfahani, M. S., Liu, C. L., Zhou, L., Scherer, F., Kurtz, D. M., Say, C., Carter, J. N., Merriott, D. J., Dudley, J. C., Binkley, M. S., Modlin, L., Padda, S. K., Gensheimer, M. F., West, R. B., Shrager, J. B., Neal, J. W., Wakelee, H. A., Loo, B. W., Alizadeh, A. A., & Diehn, M.
- Venue
- Cancer Discovery
- Published
- 2017-12-01
- Volume
- 7
- Issue
- 12
- Pages
- 1394-1403
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2754606968
- Cited by
- 1,072
- References
- 8
- FWCI
- 20.06
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Chaudhuri, A. A., Chabon, J. J., Lovejoy, A. F., Newman, A. M., Stehr, H., Azad, T. D., Khodadoust, M. S., Esfahani, M. S., Liu, C. L., Zhou, L., Scherer, F., Kurtz, D. M., Say, C., Carter, J. N., Merriott, D. J., Dudley, J. C., Binkley, M. S., Modlin, L., Padda, S. K., . . . Diehn, M. (2017). Early Detection of Molecular Residual Disease in Localized Lung Cancer by Circulating Tumor DNA Profiling. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-17-0716
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
