Title |
Genomic profiling toward precision medicine in non-small cell lung cancer: getting beyond EGFR
|
---|---|
Published in |
Pharmacogenomics and Personalized Medicine, February 2015
|
DOI | 10.2147/pgpm.s52845 |
Pubmed ID | |
Authors |
Amanda L Richer, Jacqueline M Friel, Vashti M Carson, Landon J Inge, Timothy G Whitsett |
Abstract |
Lung cancer remains the leading cause of cancer-related mortality worldwide. The application of next-generation genomic technologies has offered a more comprehensive look at the mutational landscape across the different subtypes of non-small cell lung cancer (NSCLC). A number of recurrent mutations such as TP53, KRAS, and epidermal growth factor receptor (EGFR) have been identified in NSCLC. While targeted therapeutic successes have been demonstrated in the therapeutic targeting of EGFR and ALK, the majority of NSCLC tumors do not harbor these genomic events. This review looks at the current treatment paradigms for lung adenocarcinomas and squamous cell carcinomas, examining genomic aberrations that dictate therapy selection, as well as novel therapeutic strategies for tumors harboring mutations in KRAS, TP53, and LKB1 which, to date, have been considered "undruggable". A more thorough understanding of the molecular alterations that govern NSCLC tumorigenesis, aided by next-generation sequencing, will lead to targeted therapeutic options expected to dramatically reduce the high mortality rate observed in lung cancer. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 1% |
China | 1 | 1% |
Unknown | 84 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 17 | 20% |
Student > Ph. D. Student | 10 | 12% |
Student > Master | 10 | 12% |
Researcher | 9 | 10% |
Student > Postgraduate | 5 | 6% |
Other | 16 | 19% |
Unknown | 19 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 27% |
Biochemistry, Genetics and Molecular Biology | 17 | 20% |
Agricultural and Biological Sciences | 16 | 19% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
Immunology and Microbiology | 2 | 2% |
Other | 6 | 7% |
Unknown | 19 | 22% |