We’re improving your experience!

×

Starting April 21, you’ll be asked to log in or sign up for a free account after viewing 10 content pages each month.

Don’t worry—creating an account is quick and easy, and it comes with added benefits! Once logged in, you’ll not only continue accessing the content you already enjoy, but you’ll also unlock exclusive features like interactive donut plots for variant protein effects and variant impacts across the gene.

Stay tuned for these updates, and thank you for being part of our community!

Reference Detail

Request Content

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@genomenon.com

Ref Type Journal Article
PMID (36201110)
Authors Doi Y, Tagaya H, Noge A, Semba K
Title Prediction of Resistance Mutations Against Upcoming Anaplastic Lymphoma Kinase Inhibitors.
Journal Vol Issue Date Pages Journal Short Title
Targeted oncology 2022 Oct 06 695-707 Target Oncol
URL
Abstract Text Chromosomal aberrations involving the anaplastic lymphoma kinase (ALK) gene have been observed in approximately 4% of patients with non-small cell lung cancer (NSCLC). Although these patients clinically benefit from treatment with various ALK tyrosine kinase inhibitors (ALK-TKIs), none of these can inhibit the development of resistance mutations. Considering inevitable drug resistance and the variety of available ALK-TKIs, it is necessary to predict the pattern of drug-resistance mutations to determine the optimal treatment strategy.We aimed to establish a polymerase chain reaction (PCR)-based system to predict the development of resistance mutations against ALK-TKIs and identify therapeutic strategies using the upcoming ALK-TKIs repotrectinib (TPX-0005) and ensartinib (X-396) following recurrence on first-line alectinib treatment for ALK-positive NSCLC.An error-prone PCR-based method for predicting drug resistance mutations was established and the half-maximal inhibitory concentration (IC50) values of the predicted ALK mutations were evaluated in a Ba/F3 cell-based assay.We predicted several resistance mutations against repotrectinib and ensartinib, and demonstrated that the next-generation ALK-TKI TPX-0131, was active against repotrectinib-resistant mutations and that the FLT3 inhibitor gilteritinib was active against ensartinib-resistant mutations.We developed a PCR-based system for predicting drug resistance mutations. When this system was applied to repotrectinib and ensartinib, the results suggested that these drugs can be used for the second-line treatment of ALK-positive NSCLC. Predicting resistance mutations against TKIs will provide useful information to aid in the development of effective therapeutic strategies.

Filtering

  • Case insensitive filtering will display rows if any text in any cell matches the filter term
  • Use simple literal full or partial string matches
  • Separate multiple filter terms with a space. Any order may be used (i. e. 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 on a longer phrase with spaces (i.e. "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.