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Testing for ALK rearrangement in lung adenocarcinoma : a multicenter comparison of immunohistochemistry and fluorescent in situ hybridization

  • Christina I. Selinger
  • , Toni-Maree Rogers
  • , Prudence A. Russell
  • , Sandra O'Toole
  • , Po Yee Yip
  • , Gavin M. Wright
  • , Zoe Wainer
  • , Lisa G. Horvath
  • , Michael Boyer
  • , Brian. McCaughan
  • , Maija R. J. Kohonen-Corish
  • , Stephen Fox
  • , Wendy A. Cooper
  • , Benjamin Solomon

    Research output: Contribution to journalArticlepeer-review

    147 Citations (Scopus)

    Abstract

    Rearrangements of anaplastic lymphoma kinase (ALK) gene in non-small cell lung cancer (NSCLC) define a molecular subgroup of tumors characterized clinically by sensitivity to ALK tyrosine kinase inhibitors such as crizotinib. Although ALK rearrangements may be detected by reverse transcriptase-PCR, immunohistochemistry or fluorescence in situ hybridization (FISH), the optimal clinical strategy for identifying ALK rearrangements in clinical samples remains to be determined. We evaluated immunohistochemistry using three different antibodies (ALK1, 5A4 and D5F3 clones) to detect ALK rearrangements and compared those with FISH. We report the frequency and clinicopathologic features of lung cancers harboring ALK translocations in 594 resected NSCLCs (470 adenocarcinomas; 83 squamous carcinomas, 26 large cell carcinomas and 15 other histological subtypes) using a tissue microarray approach. We identified an ALK gene rearrangement in 7/594 cases (1%) by FISH and all anti-ALK antibodies correctly identified the seven ALK-positive cases (100% sensitivity), although the intensity of staining was weak in some cases. These data indicate that the use of antibodies with high sensitivity and avidity to ALK may provide an effective pre-screening technique to complement the more expensive and labor-intensive approach of ALK FISH testing.
    Original languageEnglish
    Pages (from-to)1545-1553
    Number of pages9
    JournalModern Pathology
    Volume26
    Issue number12
    DOIs
    Publication statusPublished - 2013

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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