The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Molecular testing and targeted therapy for non-small cell lung cancer: Current status and perspectives
Abstract
Molecular testing has become a mandatory component of the non-small cell lung cancer (NSCLC) management. The detection of EGFR, BRAF and MET mutations as well as the analysis of ALK, ROS1, RET and NTRK translocations have already been incorporated in the NSCLC diagnostic standards, and the inhibitors of these kinases are in routine clinical use. There are emerging biomarkers, e.g., KRAS G12C substitutions and HER2 activating alterations, which are likely to enter NSCLC guidelines upon the approval of the corresponding drugs. In addition to genetic examination, NSCLCs are usually subjected to the analysis of PD-L1 protein expression in order to direct the use of immune checkpoint inhibitors. Comprehensive NSCLC testing for multiple predictive markers requires the analysis of distinct biological molecules (DNA, RNA, proteins) and, therefore, the involvement of different analytical platforms (PCR, DNA sequencing, immunohistochemistry, FISH). There are ongoing efforts aimed at the integration of multiple NSCLC molecular assays into a single diagnostic pipeline.
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Cites
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The biology and management of non-small cell lung cancer
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Cited by
Advances and challenges in the treatment of lung cancer
Li, Y., Yan, B., & He, S. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115891 · Cited by 462
Cancer Therapy Guided by Mutation Tests: Current Status and Perspectives
Aleksakhina, S. N., & Imyanitov, E. N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222010931 · Cited by 41
Metadata
- Authors
- Imyanitov, E. N., Iyevleva, A. G., & Levchenko, E. V.
- Venue
- Critical Reviews in Oncology/Hematology
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 157
- Pages
- 103194
- ISSN
- 1040-8428 (ISSN-L)
- OpenAlex
- W3110833960
- Cited by
- 526
- References
- 23
- FWCI
- 33.99
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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