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DOI 10.1007/s00432-020-03166-1

Медицинская библиотека · Journal of cancer research and clinical oncology · 2020

ALK detection in lung cancer: identification of atypical and cryptic ALK rearrangements using an optimal algorithm.

Liu Yuanyuan, Wu Shafei, Shi Xiaohua, Liang Zhiyong, Zeng Xuan

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Аннотация

PURPOSE: IHC, FISH, and NGS are common methods of ALK evaluation in NSCLC. The purpose of this study was to investigate whether ALK false positives or false negatives occurred more often in daily routines. An approach to identify ALK fusion was then proposed.

MATERIALS AND

METHODS

We analyzed 1815 cases of NSCLC, including 83 (4.6%) ALK IHC positives. Total 182 samples (62 ALK+ and 120 ALK-) were examined via FISH, RT-ddPCR, NGS, RT-qPCR and RNAscope to confirm ALK status.

RESULTS

One ALK FISH false negative was found, which harbored two genomic rearrangements involved in EML4-ALK (exon 13:exon 20) fusion. One ALK IHC false negative was confirmed depending on a rare ALK FISH-positive pattern and ALK RNAscope positive but ALK fusion was not found via NGS. In addition, an atypical ALK FISH-positive pattern was observed in an IHC-positive case with chromosome 2 inversion leading to EML4-ALK (exon 6:exon 20) fusion. EML4-ALK fusion was determined in one case with an atypical FISH patterns by RT-qPCR. Rare complicated genomic rearrangements involved in a novel ALK fusion of EML4-ALK (exon 7:exon 14) were distinguished in an ALK IHC and FISH double-positive case.

CONCLUSION

False negative of ALK IHC, FISH and NGS results were found in our cohort, but none was false ALK positive. False ALK negatives should be more concerned than false positives. ALK rearrangements with cryptic ALK fusion patterns could be identified using our algorithm. Non-squamous non-small cell lung cancer was recommended for priority detection.

Для цитирования: Liu Yuanyuan, Wu Shafei, Shi Xiaohua, Liang Zhiyong, Zeng Xuan. ALK detection in lung cancer: identification of atypical and cryptic ALK rearrangements using an optimal algorithm.. Journal of cancer research and clinical oncology. 2020. DOI: 10.1007/s00432-020-03166-1.

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