The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Updated Efficacy and Safety Data and Impact of the EML4-ALK Fusion Variant on the Efficacy of Alectinib in Untreated ALK-Positive Advanced Non–Small Cell Lung Cancer in the Global Phase III ALEX Study
Open accessAbstract
INTRODUCTION: At the prior data cutoff (February 9, 2017) the ALEX trial showed superior investigator-assessed progression-free survival (PFS) for alectinib versus crizotinib in untreated, anaplastic lymphoma kinase (ALK)-positive, advanced NSCLC (hazard ratio = 0.47, 95% confidence interval: 0.34-0.65, p < 0.001). The median PFS in the alectinib arm was not reached versus 11.1 months with crizotinib. Retrospective analyses suggest that the echinoderm microtubule-associated protein-like 4 gene-ALK variant (EML4-ALK) may influence ALK-inhibitor treatment benefit. We present updated analyses, including exploratory subgroup analysis by EML4-ALK variant, after an additional 10 months' follow-up (cutoff December 1, 2017). METHODS: Patients were randomized to receive twice-daily alectinib, 600 mg, or crizotinib, 250 mg, until disease progression, toxicity, death, or withdrawal. PFS was determined by the investigators. Baseline plasma and tissue biomarker samples were analyzed by using hybrid-capture, next-generation sequencing to determine EML4-ALK variant. RESULTS: Baseline characteristics were balanced. Investigator-assessed PFS was prolonged with alectinib (stratified hazard ratio = 0.43, 95% confidence interval: 0.32-0.58). The median PFS times were 34.8 months with alectinib and 10.9 months with crizotinib. EML4-ALK fusions were detectable in 129 patient plasma samples and 124 tissue samples; variants 1, 2, and 3/ab did not affect PFS, objective response rate, or duration of response. Investigator-assessed PFS was longer for alectinib than for crizotinib across EML4-ALK variants 1, 2, and 3a/b in plasma and tissue. Despite longer treatment duration (27.0 months in the case of alectinib versus 10.8 months in the case of crizotinib), the safety of alectinib compared favorably with that of crizotinib. CONCLUSION: Alectinib continues to demonstrate superior investigator-assessed PFS versus crizotinib in untreated ALK-positive NSCLC, irrespective of EML4-ALK variant.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The National Comprehensive Cancer Network: Present and future directions
McGivney, W. T. (1998) · Cancer · doi:10.1002/(sici)1097-0142(19980515)82:10+<2057::aid-cncr14>3.0.co;2-a · Cited by 16,766
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancer
Soda, M., Choi, Y. L., Enomoto, M., Takada, S., Yamashita, Y., Ishikawa, S., Fujiwara, S.-I., Watanabe, H., Kurashina, K., Hatanaka, H., et al. (2007) · Nature · doi:10.1038/nature05945 · Cited by 5,439
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
Self-citationNovello, S., Barlesi, F., Califano, R., Cufer, T., Ekman, S., Levra, M. G., Kerr, K., Popat, S., Reck, M., Senan, S., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw326 · Cited by 2,631
Self-citationAlectinib versus Crizotinib in Untreated ALK -Positive Non–Small-Cell Lung Cancer
Peters, S., Camidge, D. R., Shaw, A. T., Gadgeel, S., Ahn, J. S., Kim, D.-W., Ou, S.-H. I., Pérol, M., Dziadziuszko, R., Rosell, R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1704795 · Cited by 2,527
Self-citationGlobal Survey of Phosphotyrosine Signaling Identifies Oncogenic Kinases in Lung Cancer
Rikova, K., Guo, A., Zeng, Q., Possemato, A., Yu, J., Haack, H., Nardone, J., Lee, K., Reeves, C., Li, Y., et al. (2007) · Cell · doi:10.1016/j.cell.2007.11.025 · Cited by 2,317
Planchard, D., Popat, S., Kerr, K., Novello, S., Smit, E. F., Faivre-Finn, C., Mok, T. S., Reck, M., Van Schil, P. E., Hellmann, M. D., et al. (2018) · Annals of Oncology · doi:10.1093/annonc/mdy275 · Cited by 2,274
Self-citationFrampton, G. M., Fichtenholtz, A., Otto, G. A., Wang, K., Downing, S. R., He, J., Schnall-Levin, M., White, J., Sanford, E. M., An, P., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2696 · Cited by 2,157
Mechanistic insight into ALK receptor tyrosine kinase in human cancer biology
Hallberg, B., & Palmer, R. H. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3580 · Cited by 645
Shaw, A. T., Gandhi, L., Gadgeel, S., Riely, G. J., Cetnar, J., West, H., Camidge, D. R., Socinski, M. A., Chiappori, A., Mekhail, T., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00488-x · Cited by 638
Self-citation
Cited by
Ettinger, D. S., Wood, D. E., Aisner, D. L., Akerley, W., Bauman, J. R., Bharat, A., Bruno, D. S., Chang, J. Y., Chirieac, L. R., D’Amico, T. A., et al. (2021) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2021.0013 · Cited by 948
Immunosuppression and phenotypic plasticity in an atlas of human hepatocholangiocarcinoma
Li, Y., Xun, Z., Long, J., Sun, H., Yang, X., Wang, Y., Wang, Y., Xue, J., Zhang, N., Zhang, J., et al. (2024) · Hepatobiliary Surgery and Nutrition · doi:10.21037/hbsn-23-400 · Cited by 2
Metadata
- Authors
- Camidge, D. R., Dziadziuszko, R., Peters, S., Mok, T., Noe, J., Nowicka, M., Gadgeel, S. M., Cheema, P., Pavlakis, N., de Marinis, F., Cho, B. C., Zhang, L., Moro-Sibilot, D., Liu, T., Bordogna, W., Balas, B., Müller, B., & Shaw, A. T.
- Venue
- Journal of Thoracic Oncology
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 14
- Issue
- 7
- Pages
- 1233-1243
- ISSN
- 1556-0864 (ISSN-L)
- OpenAlex
- W2925139051
- Cited by
- 490
- References
- 17
- FWCI
- 49.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Updated Efficacy and Safety Data and Impact of the EML4-ALK Fusion Variant on the Efficacy of Alectinib in Untreated ALK-Positive Advanced Non–Small Cell Lung Cancer in the Global Phase III ALEX Study. https://app.cochat.ai/papers/10.1016/j.jtho.2019.03.007
- The paper
- Camidge, D. R., Dziadziuszko, R., Peters, S., Mok, T., Noe, J., Nowicka, M., Gadgeel, S. M., Cheema, P., Pavlakis, N., de Marinis, F., Cho, B. C., Zhang, L., Moro-Sibilot, D., Liu, T., Bordogna, W., Balas, B., Müller, B., & Shaw, A. T. (2019). Updated Efficacy and Safety Data and Impact of the EML4-ALK Fusion Variant on the Efficacy of Alectinib in Untreated ALK-Positive Advanced Non–Small Cell Lung Cancer in the Global Phase III ALEX Study. Journal of Thoracic Oncology. https://doi.org/10.1016/j.jtho.2019.03.007
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.