Reference Detail

Contact

Missing content? – Request curation!

Request curation for specific Genes, variants, or PubMed publications.

Have questions, comments or suggestions? - Let us know!

Email us at : ckbsupport@jax.org

Ref Type Journal Article
PMID (33218975)
Authors Silverman IM, Hollebecque A, Friboulet L, Owens S, Newton RC, Zhen H, Féliz L, Zecchetto C, Melisi D, Burn TC
Title Clinicogenomic Analysis of FGFR2-Rearranged Cholangiocarcinoma Identifies Correlates of Response and Mechanisms of Resistance to Pemigatinib.
Journal Cancer discovery
Vol 11
Issue 2
Date 2021 Feb
URL
Abstract Text 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.

Filtering

  • Case insensitive filtering will display rows where any text in any cell matches the filter term
  • Simple literal full or partial string matches
  • Separate multiple filter terms with a spaces, order doesn't matter (a b c and c b a are equivalent )
  • Filtering will only apply to rows that are already loaded on the page, filtering has no impact on query parameters
  • Use quotes to match a longer phrase which contains spaces "mtor c1483f"

Sorting

  • Generally, the default sort order for tables is set to be first column ascending, however, specific tables may set a different default sort order.
  • Click on any column header arrows to sort by that column
  • Hold down the Shift key and click multiple columns to sort by more than one column, be sure to set ascending or descending order for a given column, before moving on to the next column.

Molecular Profile Treatment Approach
Gene Name Source Synonyms Protein Domains Gene Description Gene Role
Therapy Name Drugs Efficacy Evidence Clinical Trials
Drug Name Trade Name Synonyms Drug Classes Drug Description
Gene Variant Impact Protein Effect Variant Description Associated with drug Resistance
Molecular Profile Indication/Tumor Type Response Type Therapy Name Approval Status Evidence Type Efficacy Evidence References