Comprehensive transcriptome, miRNA and kinome profiling identifies new treatment options for personalized lung cancer therapy
Abstract Background Basic research identified oncogenic driver mutations in lung cancer (LC). However, <10% of patients carry driver mutations. Thus, most patients are not recommended for first‐line kinase inhibitor (KI)–based therapies. Through enabling technologies and bioinformatics, we gained...
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| Main Authors: | Shen Zhong, Yvonne Börgeling, Patrick Zardo, Danny Jonigk, Jürgen Borlak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | Clinical and Translational Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ctm2.70177 |
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