| Literature DB >> 29455650 |
Shang-Gin Wu1, Jin-Yuan Shih2.
Abstract
Recent advances in diagnosis and treatment are enabling a more targeted approach to treating lung cancers. Therapy targeting the specific oncogenic driver mutation could inhibit tumor progression and provide a favorable prognosis in clinical practice. Activating mutations of epidermal growth factor receptor (EGFR) in non-small cell lung cancer (NSCLC) are a favorable predictive factor for EGFR tyrosine kinase inhibitors (TKIs) treatment. For lung cancer patients with EGFR-exon 19 deletions or an exon 21 Leu858Arg mutation, the standard first-line treatment is first-generation (gefitinib, erlotinib), or second-generation (afatinib) TKIs. EGFR TKIs improve response rates, time to progression, and overall survival. Unfortunately, patients with EGFR mutant lung cancer develop disease progression after a median of 10 to 14 months on EGFR TKI. Different mechanisms of acquired resistance to first-generation and second-generation EGFR TKIs have been reported. Optimal treatment for the various mechanisms of acquired resistance is not yet clearly defined, except for the T790M mutation. Repeated tissue biopsy is important to explore resistance mechanisms, but it has limitations and risks. Liquid biopsy is a valid alternative to tissue re-biopsy. Osimertinib has been approved for patients with T790M-positive NSCLC with acquired resistance to EGFR TKI. For other TKI-resistant mechanisms, combination therapy may be considered. In addition, the use of immunotherapy in lung cancer treatment has evolved rapidly. Understanding and clarifying the biology of the resistance mechanisms of EGFR-mutant NSCLC could guide future drug development, leading to more precise therapy and advances in treatment.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29455650 PMCID: PMC5817870 DOI: 10.1186/s12943-018-0777-1
Source DB: PubMed Journal: Mol Cancer ISSN: 1476-4598 Impact factor: 27.401
Fig. 1The distribution of different acquired resistance mechanisms
Sensitivity of detection of circulating tumor DNA (ctDNA)
| Test | Detection | Analytic limitation | Test Characteristics | Reference | ||
|---|---|---|---|---|---|---|
| Sensitivity | Specificity | |||||
| MS | Known SNVs | 1–10% | 38.9% for del19/L858R | 84.6% for del19/L858R | Quantitative | [ |
| dHLPC | Known SNVs | 1–5% | 81.8% for sensitizing mutation | 89.5% for sensitizing mutation | Provided information only of presence/absence of known mutations | [ |
| Cobas | Known SNVs | 1–3% | 61.4% (76.7% for del19/L858R) | 78.6% (98.2% del19/L858R) | Semi-quantitative | [ |
| Scorpion-ARMS | Known SNVs | 1–3% | 61.8%–85.7% for del19/L858R | 94.3–100% for del19/L858R | Semi-quantitative | [ |
| HRMA | Known SNVs, indels, | 0.1–10% | 91.67% for sensitizing mutation | 100% for sensitizing mutation | Rapid | [ |
| ddPCR | Known SNVs | > 0.1% | 77% (74–82% for del19/L858R) | 63% (100% for del19/L858R) | Quantitative Rapid turnaround time | [ |
| BEAMing | Known SNVs, CNVs, SV | > 0.1–0.01% | 70% | 69% | Quantitative Detects complex alteration | [ |
| NGS | Known/new SNVs, indels, CNVs, SV | 0.01%–5% | 93% (87–100% for del19/L858R) | 94% (96–100% for del19/L858R) | Quantitative Profiles large gene panels | [ |
| PNA-PCR | Known SNVs, indel, | 0.01% | 78% for del19/L858R | 100% for del19/L858R | Semi-quantitative | [ |
SNV single nucleotide variant, ctDNA circulating tumor DNA, ARMS amplification refractory mutation system, BEAMing beads, emulsion, amplification and magnetics, ddPCR digital droplet polymerase chain reaction, del deletion, indel insertion/deletion, FDA US Food and Drug Administration, NGS next-generation sequencing, CNVs copy number variants, SV structure variants, HRMA high-resolution melting analysis, dHLPC denaturing high performance liquid chromatography, MS mass spectrophotometry (MS), PNA-PCR peptide nucleic acid-polymerase chain reaction
Fig. 2Treatment algorism for advanced EGFR-mutant NSCLC patients
Different generations of EGFR TKIs
| Generation | EGFR inhibition | Drug | Molecular Targetsa | Adverse effect | Status |
|---|---|---|---|---|---|
| 1st-generation | Reversible; | Gefitinib |
| Skin rash/acne, abnormal LFT | FDA approved |
| competitive | Erlotinib |
| FDA approved | ||
| 2nd-generation | Irreversible; covalent | Afatinib | Diarrhea, paronychia. Skin rash | FDA approved | |
| Dacomitinib | Diarrhea, skin rash/acne | Phase III | |||
| Neratinib | Diarrhea, dyspnea, N/V | Phase II | |||
| 3rd-generation | Irreversible; | Osimertinib | Diarrhea, skin rash | FDA approved | |
| covalent | Rociletinib | Hyperglycemia, QTc prolong | Withdrawn | ||
| Olmutinib | Diarrhea, skin exfoliation, nausea | Approved in South Korea | |||
| ASP8273 | Diarrhea, N/V, thrombocytopenia | Phase III Discontinued | |||
| Nazartinib | Rash, diarrhea, pruritus | Phase I/II | |||
| Avitinib (AC0010) | Diarrhea, skin rash, abnormal LFT | Phase I/II | |||
| HS-10296 | None reported | Phase I/II | |||
| PF-06747775 | None reported | Phase I/II |
N/V nausea and/or vomiting, LFT liver function test, del19 deletion in exon19, EGFR epidermal growth factor receptor, FDA Food and Drug Administration
aThe targets included FDA approved or associated targets
Efficacy of third-generation EGFR TKIs in EGFR T790M-positive NSCLC patients
| Drug | Trial | Patients (N) | Dose | ORR T790M | PFS (mo.) |
|---|---|---|---|---|---|
| Osimertinib | AURA phase I [ | Total: 253 T790M(+): 138 | 20-240 mg QD | T790M(+): 61% T790M(−): 21% | T790M(+): 9.6 T790M(−): 2.8 |
| AURA phase I T790M(+) | 63 | 80 mg QD | 71% | 9.7 | |
| AURA phase II | 210 | 80 mg QD | 70% | 9.9 | |
| AURA phase II extension [ | 411 | 80 mg QD | 62% | 12.3 | |
| AURA phase III [ | 416 -Osimertinib arm: 279 | 71% | 10.1 | ||
| Rociletinib | TIGER-X phase I/II [ | Total: 69 | 500, 625 or 750 mg bid | 45% | T790M(+): 9.6 |
| Olmutinib | HM-EMSI-101 phase I/II T790M(+) [ | 76 | 800 mg QD | 62% | 6.9 |
| ASP8273 | NCT02113813 phase I/II [ | Total: 63 | 300 mg QD | 29% | 6.8 |
| Nazartinib | NCT02108964 phase I/II [ | 152 | 75-350 mg QD | 46.9% | 9.7 |
| Avitinib (AC0010) | NCT02330367 phase I/II [ | 136 | 50-350 mg QD | 44% |
Main mechanisms involved in acquired resistance to EGF receptor-tyrosine kinase inhibitors and the associated targetable drugs
| Molecular alteration | Pathway | Targetable drug |
|---|---|---|
| HER2 amplification | Afatinib, Trastuzumab, ado-trastuzumab emtansine (TDM1) | |
| MET overexpression/genetic alteration | ● Anti-HGF antibody: Rilotumumab, Ficlatuzumab | |
| PIK3CA | PI3K-AKT-mTOR | ● PI3K inhibitor: Pilaralisib (XL147), Dactolisib (BEZ235) and Pictilisib (GDC-0941), |
| BRAF | Ras-Raf-MEK-ERK | Vemurafenib (PLX4032), Dabrafenib (GSK2118436), Selumetinib, LY3009120 |
| AXL overexpression | GAS6-AXL | ● Tyrosine kinase inhibitor: Cabozantinib (XL 184) |