| Literature DB >> 29081842 |
Pilar Garrido1, María Eugenia Olmedo2, Ana Gómez2, Luis Paz Ares3, Fernando López-Ríos4, Juan Manuel Rosa-Rosa5, José Palacios6.
Abstract
KRAS mutations represent one of the most prevalent oncogenic driver mutations in non-small cell lung cancer (NSCLC). For many years we have unsuccessfully addressed KRAS mutation as a unique disease. The recent widespread use of comprehensive genomic profiling has identified different subgroups with prognostic implications. Moreover, recent data recognizing the distinct biology and therapeutic vulnerabilities of different KRAS subgroups have allowed us to explore different treatment approaches. Small molecules that selectively inhibit KRAS G12C or use of immune checkpoint inhibitors based on co-mutation status are some examples which anticipate that personalized treatment for this challenging disease is finally on the horizon.Entities:
Keywords: KRAS; genomic profiling; non-small cell lung cancer; predictive factor; prognostic factor
Year: 2017 PMID: 29081842 PMCID: PMC5564881 DOI: 10.1177/1758834017719829
Source DB: PubMed Journal: Ther Adv Med Oncol ISSN: 1758-8340 Impact factor: 8.168
Descriptive of KRAS-mutated samples in the three datasets analyzed.
| #samples | ||||||
|---|---|---|---|---|---|---|
| Cancer Genome Atlas Research Network[ | 230 | 32.61% | 30.67% | 26.67% | 1.33% | 9.33% |
| Imielinksi and colleagues[ | 183 | 26.78% | 38.78% | 14.29% | 6.12% | 6.12% |
| Ding and colleagues[ | 163 | 36.81% | 35.00% | 16.67% | 5.00% | NA |
NA: not applicable.
From left to right: number of samples in the dataset, percentage of sample with mutations in KRAS, percentage of samples with mutations in KRAS which also portrayed mutations in TP53, percentage of samples with mutations in KRAS which also portrayed mutations in STK11, percentage of samples with mutations in KRAS which also portrayed mutations in TP53 and STK11, percentage of samples with mutations in KRAS which showed amplifications of KRAS chromosomal region.
Figure 1.(a) Frequency of main KRAS hotspot mutation. (b) Venn diagrams representing number of samples exhibiting mutation in KRAS, TP53 and STK11. Datasets from the Cancer Genome Atlas Research Network,[3] Imielinksi and colleagues[5] and Ding and colleagues.[4]