| Literature DB >> 35004317 |
Miriam Grazia Ferrara1,2, Alessio Stefani1,2, Sara Pilotto3, Carmine Carbone1, Emanuele Vita1,2, Mariantonietta Di Salvatore1, Ettore D'Argento1, Ileana Sparagna1,2, Federico Monaca1,2, Giustina Valente1,2, Antonio Vitale1,2, Geny Piro1, Lorenzo Belluomini3, Michele Milella3, Giampaolo Tortora1,2, Emilio Bria1,2.
Abstract
Non-small cell lung cancer (NSCLC) represents the perfect paradigm of 'precision medicine' due to its complex intratumoral heterogeneity. It is truly characterized by a range of molecular alterations that can deeply influence the natural history of this disease. Several molecular alterations have been found over time, paving the road to biomarker-driven therapy and radically changing the prognosis of 'oncogene addicted' NSCLC patients. Kirsten rat sarcoma (KRAS) mutations are present in up to 30% of NSCLC (especially in adenocarcinoma histotype) and have been identified decades ago. Since its discovery, its molecular characteristics and its marked affinity to a specific substrate have led to define KRAS as an undruggable alteration. Despite that, many attempts have been made to develop drugs capable of targeting KRAS signaling but, until a few years ago, these efforts have been unsuccessful. Comprehensive genomic profiling and wide-spectrum analysis of genetic alterations have only recently allowed to identify different types of KRAS mutations. This tricky step has finally opened new frontiers in the treatment approach of KRAS-mutant patients and might hopefully increase their prognosis and quality of life. In this review, we aim to highlight the most interesting aspects of (epi)genetic KRAS features, hoping to light the way to the state of art of targeting KRAS in NSCLC.Entities:
Keywords: KRAS; lung cancer; mutations; precision medicine; targeted therapy
Year: 2021 PMID: 35004317 PMCID: PMC8733471 DOI: 10.3389/fonc.2021.792385
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Trials evaluating KRAS as a prognostic marker.
| FIRST author | Type of study | N° of patients (KRASmut
| Outcome |
|---|---|---|---|
|
| Retrospective | 241 | mOS 16 |
|
| Meta-analysis | 625 | HR 1.35, p=0.01 |
|
| Retrospective | 60 | mOS 10.6 |
|
| Pooled analysis | 300 | HR 1.17, p=0.12 |
|
| Retrospective | 39 | mOS 10.3 |
mOS, median overall survival; DCR, disease control rate.
Trials evaluating KRAS as a potential predictive marker.
| FIRST AUTHOR | Type of study | N° of patients (TOT/KRASmut) | Drug | Outcome |
|---|---|---|---|---|
|
| Meta-analysis | 1470/231 | EGFR-TKI | ORR 3% |
|
| Meta-analysis | 1008/165 | EGFR-TKI | Significantly lower ORR in KRAS mut |
|
| Retrospective | 484/39 | Pemetrexed | ORR 14% |
|
| Retrospective | -/1190 | CT | Best ORR with taxanes compared to pemetrexed |
|
| Retrospective | -/62 | Nivolumab | HR 0.52 (0.29-0.95) |
|
| Meta-analysis | -/138 | ICI | HR 0.64 (0.43-0.96) |
|
| Retrospective | 551/271 | ICI | ORR higher in KRAS compared to other driver mutations |
|
| Retrospective | 1127/573 | ICI | HR, 0.77 (0.61-0.98) KRAS mut |
ORR, objective response rate; TKI, tyrosine kinase inhibitor; CT, chemotherapy; ICI, immune-checkpoint inhibitor; wt, wild-type.
KRAS G12C direct inhibitors.
| TRIAL | Phase | Drug | Setting | N° Patients | Results | AE |
|---|---|---|---|---|---|---|
|
| I/II | Sotorasib | ≥2L | 59 | ORR 32.2%, DCR 88.1%, mPFS 6.3m, mOS 10.9m | 9% G3/4 (anemia, diarrhoea) |
|
| I/II | Adagrasib | ≥2L | 79 | ORR 45%, DCR 96% | G3/4 common TRAE: Hyponatremia (3%) |
|
| I | ARS-3248 | ≥2L | Ongoing | ||
|
| I/II | LY3499446 | ≥2L | Closed due to toxicity | ||
ORR, objective response rate; DCR, disease control rate; mPFS, median progression free survival; mOS, median overall survival; AE: adverse events; TRAE, treatment related adverse event.
Figure 1Site of activity of different agents targeting KRAS.