Expression of C-terminal ALK, RET, or ROS1 in lung cancer cells with or without fusion

Koh Furugaki1, Marie Mochizuki1, Mirei Kohno1

  • 1Product Research Department, Kamakura Research Laboratories, Chugai Pharmaceutical Co., Ltd., 200 Kajiwara, Kamakura, Kanagawa, 247-8530, Japan.

BMC Cancer
|April 5, 2019
PubMed
Abstract

Insights

Detecting C-terminal ALK or ROS1 proteins can identify fusions in non-small cell lung cancer. However, RET fusion detection requires additional methods beyond C-terminal protein assessment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Non-small cell lung cancer (NSCLC) harbors genetic alterations like EGFR mutations and ALK, RET, or ROS1 fusions, which are key targets for therapy.
  • Immunohistochemistry detecting C-terminal protein is used to screen for fusions, but the impact of other genetic changes on C-terminal expression is unclear.

Purpose of the Study:

  • To investigate whether C-terminal protein expression is specifically elevated by fusion events in lung cancer.
  • To evaluate the utility of C-terminal protein detection for identifying oncogenic driver fusions in NSCLC.

Main Methods:

  • Analysis of 37 human lung cancer cell lines and four tissue specimens.
  • Quantification of protein and mRNA levels using capillary western blotting and reverse transcription-PCR.

Main Results:

  • Fusion-positive cell lines (ALK, RET, ROS1) showed significantly elevated C-terminal mRNA levels (200-2000-fold) and high protein expression.
  • A RET fusion-negative cell line exhibited high C-terminal RET mRNA and protein expression, indicating potential alternative mechanisms.
  • Elevated C-terminal ALK mRNA and protein were observed in an ALK fusion-positive tissue specimen.

Conclusions:

  • C-terminal ALK and ROS1 protein detection may serve as comprehensive methods for identifying ALK and ROS1 fusions in NSCLC.
  • Determining RET fusion status necessitates C-terminal protein assessment combined with other diagnostic approaches due to observed discrepancies.

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