| Literature DB >> 32397295 |
Miriam Grazia Ferrara1,2, Vincenzo Di Noia2,3, Ettore D'Argento1,2, Emanuele Vita1,2, Paola Damiano1,2, Antonella Cannella1,2, Marta Ribelli1,2, Sara Pilotto4, Michele Milella4, Giampaolo Tortora1,2, Emilio Bria1,2.
Abstract
Before the introduction of tyrosine kinase inhibitors (TKIs) for a particular subgroup of patients, despite platinum-based combination chemotherapy, the majority of patients affected by non-small-cell lung cancer (NSCLC) did not live longer than one year. With deeper understanding of tumor molecular biology, treatment of NSCLC has progressively entered the era of treatment customization according to tumor molecular characteristics, as well as histology. All this information allowed the development of personalized molecular targeted therapies. A series of studies have shown that, in some cases, cancer cells can grow and survive as result of the presence of a single driver genomic abnormality. This phenomenon, called oncogene-addiction, more often occurs in adenocarcinoma histology, in non-smokers (except BRAF mutations, also frequent in smoking patients), young, and female patients. Several different driver mutations have been identified and many studies have clearly shown that upfront TKI monotherapy may improve the overall outcome of these patients. The greater efficacy of these drugs is also associated with a better tolerability and safety than chemotherapy, with fewer side effects and an extremely good compliance to treatment. The most frequent oncogene-addicted disease is represented by those tumors carrying a mutation of the epidermal growth factor receptor (EGFR). The development of first, second and third generation TKIs against EGFR mutations have dramatically changed the prognosis of these patients. Currently, osimertinib (which demonstrated to improve efficacy with a better tolerability in comparison with first-generation TKIs) is considered the best treatment option for patients affected by NSCLC harboring a common EGFR mutation. EML4-ALK-driven disease (which gene re-arrangement occurs in 3-7% of NSCLC), has demonstrated to be significantly targeted by specific TKIs, which have improved outcome in comparison with chemotherapy. To date, alectinib is considered the best treatment option for these patients, with other newer agents upcoming. Other additional driver abnormalities, such as ROS1, BRAF, MET, RET and NTRK, have been identified as a target mirroring peculiar vulnerability to specific agents. Oncogene-addicted disease typically has a low early resistance rate, but late acquired resistance always develops and therefore therapy needs to be changed when progression occurs. In this narrative review, the state of art of scientific literature about targeted therapy options in oncogene-addicted disease is summarized and critically discussed. We also aim to analyze future perspectives to maximize benefits for this subgroup of patients.Entities:
Keywords: ALK; EGFR; ROS1; addiction; lung; oncogene
Year: 2020 PMID: 32397295 PMCID: PMC7281569 DOI: 10.3390/cancers12051196
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Immunotherapy in oncogene-addicted disease.
| Study | Treatment | Patients | ORR, % | Gr> 3 AE | Median PFS, Mos | Median OS, Mos |
|---|---|---|---|---|---|---|
| TATTON | Osimertinib + Durvalumab | EGFR+ TKI naïve | 70 | 47% (15% pneumonitis) | Not applicable | Not applicable |
| NCT 02088112 | Gefitinib + Durvalumab | EGFR+ TKI naïve | 79 | 50% Mainly liver | Not applicable | Not applicable |
| NCT 02013219 | Erlotinib + Atezolizumab | EGFR+ | 75 | 39% Mainly pyrexia and liver | Not applicable | Not applicable |
| GEFTREM | Gefitinib + Tramelimumab | EGFR+ PD on TKI | 67 | 54% Mainly diarrhea | Not applicable | Not applicable |
| NCT 01454102 | Elotinib + Nivolumab | EGFR+ | 19 | 24% Mainly liver and diarrhea | Not applicable | Not applicable |
| Checkmate 370 | Crizotinib + Nivolumab | ALK+ | 38 | 62% Mainly hepatitis and pneumonitis | ||
| Nivolumab EAP | Nivolumab | EGFR+/ALK+ | 9 | 7% | 3 (2.7–3.3) | 8.3 (2.2–14.4) |
| IMPOWER 150 | Atezolizumab + Carboplatin-Paclitaxel + Bevacizumab vs. Bevacizumab + Carboplatin − Paclitaxel | EGFR+/ALK+ PD on TKI | 71 | 57% | 10.2 vs. 6.9 | NR vs. 18.7 |
AE: adverse events; MoS: months.
Subgroup analyses of epidermal growth factor receptor (EGFR+) and anaplastic lymphoma kinase (ALK+) patients in large randomized control trials with immune checkpoint inhibitors.
| Study | Treatment | Design | HR OS [95% CI] |
|---|---|---|---|
| KEYNOTE 010 | Pembrolizumab | PDL1+ NSCLC | 0.88 (0.45–1.70) |
| POPLAR | Atezolizumab | NSCLC | 0.99 (0.29–3.40) |
| Checkmate 057 | Nivolumab | Non-squamous NSCLC | 1.18 (0.69–2.00) |
| OAK | Atezolizumab | NSCLC | 1.24 (0.71–2.18) |
Differences between oncogene-addicted and non-oncogene addicted disease.
| Characteristics | Oncogene Addicted Disease | Non-Oncogene Addicted Disease |
|---|---|---|
| Number of Drivers | Single (Dominant) Driver | Multiple Drivers and Passengers |
| Mutational Load | Small | Large |
| Efficacy of Targeted Therapy (TKIs) | Yes, proven | No, still unproven |
| Efficacy of Immunotherapy | No, still unproven | Yes, proven |
| Early Resistance Rate | Low (≤20% at first evaluation) | High (≥50% at first evaluation) |
| Late Acquired Resistance (same/other pathways) | Always, proven | Few Late Acquired Resistance, unproven (long-term survivors, cured patients?) |
| Traditional Intermediate End-points Surrogacy (in absence of cross-over) | Yes | No |
Phase 3 comparative studies in the targeted therapy of EGFR mutant non-small-cell lung cancer (NSCLC).
| Study | N | Treatment | ORR, % | Median PFS, Mos | Median OS, Mos |
|---|---|---|---|---|---|
| IPASS | 261 | Gefitinib vs. carboplatin/paclitaxel | 71 vs. 47 | 9.8 vs. 6.4 | 21.6 vs. 21.9 (HR: 1.00) |
| FIRST-SIGNAL | 42 | Gefitinib vs. cisplatin/gemcitabine | 84 vs. 37 | 8.4 vs. 6.7 | 27.2 vs. 25.6 (HR: 1.04) |
| NEJ002 | 230 | Gefitinib vs. carboplatin/paclitaxel | 74 vs. 31 | 10.8 vs. 5.4 | 30.5 vs. 23.6 (HR: 0.89) |
| WJTOG 3405 | 172 | Gefitinib vs. cisplatin/docetaxel | 62 vs. 32 | 9.6 vs. 6.6 | 34.8 vs. 37.3 (HR: 1.25) |
| OPTIMAL | 165 | Erlotinib vs. carboplatin/gemcitabine | 83 vs. 36 | 13.1 vs. 4.6 | 22.8 vs. 27.2 (HR: 1.19) |
| EURTAC | 174 | Erlotinib vs. platinum-based chemotherapy | 58 vs. 15 | 9.7 vs. 5.2 | 22.9 vs. 19.5 (HR: 0.93) |
| LUX-Lung 3 | 345 | Afatinib vs. cisplatin/pemetrexed | 56 vs. 23 | 11.1 vs. 6.9 | 28.2 vs. 28.2 (HR: 0.88) |
| LUX-Lung 6 | 364 | Afatinib vs. cisplatin/gemcitabine | 67 vs. 23 | 11.0 vs. 5.6 | 23.1 vs. 23.5 (HR: 0.93) |
| LUX-Lung 7 | 319 | Afatinib vs. Gefitinib | 70 vs. 56 | 11 vs. 10.9 | 27.9 vs. 24.5 (HR: 0.86) |
| FLAURA | 556 | Osimertinib vs. Gefitinib | 80 vs. 76 | 18.9 vs. 10.2 | 38.6 vs. 31.8 (HR: 0.80) |
| ARCHER | 452 | Dacomitinib vs. Gefitinib/Erlotinib | 74 vs. 71 | 14.7 vs. 9.2 | 34.1 vs. 26.8 (HR: 0.76) |
| NEJ 026 | 226 | Erlotinib + Bevacizumab vs. Erlotinib | 72 vs. 60 | 16.9 vs. 13.3 | Not mature |
| JO25567 | 152 | Erlotinib + Bevacizumab vs. Erlotinib | 69 vs. 64 | 16 vs. 9.7 | 47.4 vs. 47 (HR: 0.81) |
| Cheng JCO | 191 | Gefitinib + Pemetrexed vs. Gefitinib | 80 vs. 74 | 15.8 vs. 10.9 | 43.4 vs. 36.7 (HR: 0.77) |
| NEJ009 | 344 | Gefitinib + Pemetrexed-Carboplatin vs. Gefitinib | 84 vs. 67 | 20.9 vs. 11.2 | 52.2 vs. 38.8 (HR: 0.69) |
| RELAY | 449 | Erlotinib + Ramucirumab vs. Erlotinib | 76 vs. 75 | 19.4 vs. 12.4 | Not mature |
| Norohna et al. ASCO 2019 | 350 | Gefitinib + Carboplatin/Pemetrexed vs. Gefinitib | 75 vs. 62 | 16 vs. 8 | NR vs. 17 (HR: 0.45) |
| ARTEMIS | 311 | Erlotinib + Bevacizumab vs. Erlotinib | 157 vs. 154 | 18 vs. 11.2 | Not mature |
Phase 3 comparative studies in the targeted therapy of ALK-rearranged NSCLC.
| Study | Therapy | Treatment | ORR, % | Median PFS, Mos | Median OS, Mos |
|---|---|---|---|---|---|
| PROFILE 1007 | Second-line | Crizotinib vs. pemetrexed/docetaxel | 65 vs. 20 | 7.7 vs. 3 | 20.3 vs. 22.8 |
| PROFILE 1014 | First-line | Crizotinib vs. cisplatin and pemetrexed | 74 vs. 45 | 10.9 vs. 7.4 | NR vs. 47.5 |
| PROFILE 1029 | First-line | Crizotinib vs. Cisplatin/Carboplatin and Pemetrexed | 85 vs. 46 | 11.1 vs. 6.8 | 28.9 vs. 27.7 |
| ASCEND-5 | Third-line | Ceritinib vs. pemetrexed/docetaxel | 49 vs. 7 | 6.7 vs. 1.6 | 18.1 vs. 20.1 |
| ASCEND-4 | First-line | Ceritinib vs. Cisplatin/Carboplatin + Pemetrexed | 72 vs. 27 | 13.5 vs. 6.7 | NR vs. 26.2 |
| ALUR | Second-line | Alectinib vs. docetaxel/pemetrexed | 37 vs. 3 ( | 9.6 vs. 1.4 | 12.6 vs. NR |
| ALESIA | First-line | Alectinib vs. Crizotinib | 91 vs. 77 ( | NR vs. 11.1 | Not mature |
| ALEX | First-line | Alectinib vs. crizotinib | 83 vs. 75 ( | 34.8 vs. 10.9 | Not mature |
| J-ALEX | First-line | Alectinib vs. crizotinib | 85 vs. 70 | 34.1 vs. 10.2 | Not mature |
| ALTA-1L | First-line | Brigatinib vs. crizotinib | 71 vs. 60 | NR vs. 9.8 | Not mature |
CNS: central nervous system; NR: not reached.