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Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial
Open accessAbstract
Precision medicine focuses on DNA abnormalities, but not all tumors have tractable genomic alterations. The WINTHER trial (NCT01856296) navigated patients to therapy on the basis of fresh biopsy-derived DNA sequencing (arm A; 236 gene panel) or RNA expression (arm B; comparing tumor to normal). The clinical management committee (investigators from five countries) recommended therapies, prioritizing genomic matches; physicians determined the therapy given. Matching scores were calculated post-hoc for each patient, according to drugs received: for DNA, the number of alterations matched divided by the total alteration number; for RNA, expression-matched drug ranks. Overall, 303 patients consented; 107 (35%; 69 in arm A and 38 in arm B) were evaluable for therapy. The median number of previous therapies was three. The most common diagnoses were colon, head and neck, and lung cancers. Among the 107 patients, the rate of stable disease ≥6 months and partial or complete response was 26.2% (arm A: 23.2%; arm B: 31.6% (P = 0.37)). The patient proportion with WINTHER versus previous therapy progression-free survival ratio of >1.5 was 22.4%, which did not meet the pre-specified primary end point. Fewer previous therapies, better performance status and higher matching score correlated with longer progression-free survival (all P < 0.05, multivariate). Our study shows that genomic and transcriptomic profiling are both useful for improving therapy recommendations and patient outcome, and expands personalized cancer treatment. Prospective analysis of transcriptomic and genomic alterations increases the proportion of patients with solid cancer who are eligible for receiving matched therapies and shows promise in improving clinical outcomes.
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
Self-citationWhy Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
Mutational landscape and significance across 12 major cancer types
Kandoth, C., McLellan, M. D., Vandin, F., Ye, K., Niu, B., Lu, C., Xie, M., Zhang, Q., McMichael, J. F., Wyczalkowski, M. A., et al. (2013) · Nature · doi:10.1038/nature12634 · Cited by 4,419
Efficacy and safety of imatinib mesylate in advanced gastrointestinal stromal tumors
Demetri, G. D., von Mehren, M., Blanke, C. D., Van den Abbeele, A. D., Eisenberg, B., Roberts, P. J., Heinrich, M. C., Tuveson, D. A., Singer, S., Janicek, M., et al. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa020461 · Cited by 4,389
First-Line Crizotinib versus Chemotherapy in ALK -Positive Lung Cancer
Solomon, B. J., Mok, T., Kim, D.-W., Wu, Y.-L., Nakagawa, K., Mekhail, T., Felip, E., Cappuzzo, F., Paolini, J., Usari, T., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408440 · Cited by 3,190
Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers
Goodman, A. M., Kato, S., Bazhenova, L., Patel, S. P., Frampton, G. M., Miller, V., Stephens, P. J., Daniels, G. A., & Kurzrock, R. (2017) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-17-0386 · Cited by 2,264
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Wen, P. Y., Weller, M., Lee, E. Q., Alexander, B. M., Barnholtz-Sloan, J. S., Barthel, F. P., Batchelor, T. T., Bindra, R. S., Chang, S. M., Chiocca, E. A., et al. (2020) · Neuro-Oncology · doi:10.1093/neuonc/noaa106 · Cited by 1,168
Jiang, Y.-Z., Liu, Y., Xiao, Y., Hu, X., Jiang, L., Zuo, W.-J., Ma, D., Ding, J., Zhu, X., Zou, J., et al. (2021) · Cell Research · doi:10.1038/s41422-020-0375-9 · Cited by 298
Kato, S., Kim, K. H., Lim, H. J., Boichard, A., Nikanjam, M., Weihe, E., Kuo, D. J., Eskander, R. N., Goodman, A., Galanina, N., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18613-3 · Cited by 293
Self-citationHorak, P., Heining, C., Kreutzfeldt, S., Hutter, B., Mock, A., Hüllein, J., Fröhlich, M., Uhrig, S., Jahn, A., Rump, A., et al. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0126 · Cited by 290
Metadata
- Authors
- Rodon, J., Soria, J.-C., Berger, R., Miller, W. H., Rubin, E., Kugel, A., Tsimberidou, A., Saintigny, P., Ackerstein, A., Braña, I., Loriot, Y., Afshar, M., Miller, V., Wunder, F., Bresson, C., Martini, J.-F., Raynaud, J., Mendelsohn, J., Batist, G., Onn, A., Tabernero, J., Schilsky, R. L., Lazar, V., Lee, J. J., & Kurzrock, R.
- Venue
- Nature Medicine
- Published
- 2019-04-22
- Volume
- 25
- Issue
- 5
- Pages
- 751-758
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2938634307
- Cited by
- 578
- References
- 40
- FWCI
- 20.53
- Type
- journal article
- Language
- en
- Open access
- green
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- Rodon, J., Soria, J.-C., Berger, R., Miller, W. H., Rubin, E., Kugel, A., Tsimberidou, A., Saintigny, P., Ackerstein, A., Braña, I., Loriot, Y., Afshar, M., Miller, V., Wunder, F., Bresson, C., Martini, J.-F., Raynaud, J., Mendelsohn, J., Batist, G., . . . Kurzrock, R. (2019). Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial. Nature Medicine. https://doi.org/10.1038/s41591-019-0424-4
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