The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Clinicogenomic Analysis of FGFR2 -Rearranged Cholangiocarcinoma Identifies Correlates of Response and Mechanisms of Resistance to Pemigatinib
Open accessAbstract
Pemigatinib, a selective FGFR1–3 inhibitor, has demonstrated antitumor activity in FIGHT-202, a phase II study in patients with cholangiocarcinoma harboring FGFR2 fusions/rearrangements, and has gained regulatory approval in the United States. Eligibility for FIGHT-202 was assessed using genomic profiling; here, these data were utilized to characterize the genomic landscape of cholangiocarcinoma and to uncover unique molecular features of patients harboring FGFR2 rearrangements. The results highlight the high percentage of patients with cholangiocarcinoma harboring potentially actionable genomic alterations and the diversity in gene partners that rearrange with FGFR2. Clinicogenomic analysis of pemigatinib-treated patients identified mechanisms of primary and acquired resistance. Genomic subsets of patients with other potentially actionable FGF/FGFR alterations were also identified. Our study provides a framework for molecularly guided clinical trials and underscores the importance of genomic profiling to enable a deeper understanding of the molecular basis for response and nonresponse to targeted therapy. Significance: We utilized genomic profiling data from FIGHT-202 to gain insights into the genomic landscape of cholangiocarcinoma, to understand the molecular diversity of patients with FGFR2 fusions or rearrangements, and to interrogate the clinicogenomics of patients treated with pemigatinib. Our study highlights the utility of genomic profiling in clinical trials. This article is highlighted in the In This Issue feature, p. 211
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Cites
Cisplatin plus Gemcitabine versus Gemcitabine for Biliary Tract Cancer
Valle, J., Wasan, H., Palmer, D. H., Cunningham, D., Anthoney, A., Maraveyas, A., Madhusudan, S., Iveson, T., Hughes, S., Pereira, S. P., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908721 · Cited by 4,406
Efficacy of Larotrectinib in TRK Fusion–Positive Cancers in Adults and Children
Drilon, A., Laetsch, T. W., Kummar, S., DuBois, S. G., Lassen, U. N., Demetri, G. D., Nathenson, M., Doebele, R. C., Farago, A. F., Pappo, A. S., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1714448 · Cited by 2,824
Frampton, 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 · cited 1×
“), which uses hybrid capture–based DNA target enrichment to identify somatic GAs in the coding regions of 315 cancer-related genes and introns from 28 genes often rearranged in cancer (12).”
BackgroundReceptor Specificity of the Fibroblast Growth Factor Family
Ornitz, D. M., Xu, J., Colvin, J. S., McEwen, D. G., MacArthur, C. A., Coulier, F., Gao, G., & Goldfarb, M. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.25.15292 · Cited by 1,871
Doebele, R. C., Drilon, A., Paz-Ares, L., Siena, S., Shaw, A. T., Farago, A. F., Blakely, C. M., Seto, T., Cho, B. C., Tosi, D., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30691-6 · Cited by 1,790
Vemurafenib in Multiple Nonmelanoma Cancers with BRAF V600 Mutations
Hyman, D. M., Puzanov, I., Subbiah, V., Faris, J. E., Chau, I., Blay, J.-Y., Wolf, J., Raje, N. S., Diamond, E. L., Hollebecque, A., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1502309 · Cited by 1,764
Self-citationAbou-Alfa, G. K., Sahai, V., Hollebecque, A., Vaccaro, G., Melisi, D., Al-Rajabi, R., Paulson, A. S., Borad, M. J., Gallinson, D., Murphy, A. G., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(20)30109-1 · Cited by 1,611
Self-citationFrequent Mutation of BAP1 in Metastasizing Uveal Melanomas
Harbour, J. W., Onken, M. D., Roberson, E. D. O., Duan, S., Cao, L., Worley, L. A., Council, M. L., Matatall, K. A., Helms, C., & Bowcock, A. M. (2010) · Science · doi:10.1126/science.1194472 · Cited by 1,462
Erdafitinib in Locally Advanced or Metastatic Urothelial Carcinoma
Loriot, Y., Necchi, A., Park, S. H., Garcia-Donas, J., Huddart, R., Burgess, E., Fleming, M., Rezazadeh, A., Mellado, B., Varlamov, S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1817323 · Cited by 1,360
Receptor Specificity of the Fibroblast Growth Factor Family
Zhang, X., Ibrahimi, O. A., Olsen, S. K., Umemori, H., Mohammadi, M., & Ornitz, D. M. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m601252200 · Cited by 1,164
Cited by
Wu, Q., Zhen, Y., Shi, L., Vu, P., Greninger, P., Adil, R., Merritt, J., Egan, R., Wu, M.-J., Yin, X., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-1168 · Cited by 104
Metadata
- Authors
- Silverman, I. M., Hollebecque, A., Friboulet, L., Owens, S., Newton, R. C., Zhen, H., Féliz, L., Zecchetto, C., Melisi, D., & Burn, T. C.
- Venue
- Cancer Discovery
- Published
- 2021-02-01
- Volume
- 11
- Issue
- 2
- Pages
- 326-339
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W3103246749
- Cited by
- 283
- References
- 48
- FWCI
- 28.75
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Silverman, I. M., Hollebecque, A., Friboulet, L., Owens, S., Newton, R. C., Zhen, H., Féliz, L., Zecchetto, C., Melisi, D., & Burn, T. C. (2021). Clinicogenomic Analysis of FGFR2 -Rearranged Cholangiocarcinoma Identifies Correlates of Response and Mechanisms of Resistance to Pemigatinib. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-20-0766
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