| Literature DB >> 35049698 |
Ilaria Attili1, Antonio Passaro1, Pasquale Pisapia2, Umberto Malapelle2, Filippo de Marinis1.
Abstract
Compound epidermal growth factor receptor (EGFR) mutations represent a heterogeneous subgroup of non-small cell lung cancer (NSCLC) patients with uncommon EGFR mutations. We conducted a systematic review to investigate the available data on this patients' subgroup. Overall, we found a high heterogeneity in the incidence of compound mutations (4-26% of total EGFR mutant cases), which is dependent on the different testing methods adopted and the specific mutations considered. In addition, the relative incidence of distinct compound subclasses identified is reported with extreme variability in different studies. Preclinical and clinical data, excluding de novoEGFR exon 20 p.T790M compound mutations, show good responses with EGFR tyrosine kinase inhibitors (TKIs) (combined common mutations: response rate (RR) ≥ 75% with either first- or second-generation TKIs; combined common plus uncommon: RR 40-80% and 100% with first-generation TKIs and afatinib, respectively; combined uncommon: RR 20-70%, ~80% and ~75% with first-generation TKIs, afatinib and osimertinib, respectively). Overall, data are consistent in supporting the use of EGFR TKIs in treating compound EGFR mutations, taking into account different sensitivity profile of accompanying EGFR mutations for selecting the most adequate EGFR TKI for individual patients.Entities:
Keywords: EGFR TKI; NSCLC; afatinib; complex; double; erlotinib; gefitinib; osimertinib; uncommon
Mesh:
Substances:
Year: 2022 PMID: 35049698 PMCID: PMC8774526 DOI: 10.3390/curroncol29010024
Source DB: PubMed Journal: Curr Oncol ISSN: 1198-0052 Impact factor: 3.677
Figure 1Flow diagram showing results for the systematic search performed using the search terms “uncommon”, “EGFR”, “compound”, “complex” and “lung cancer” in the time frame between January 2004 and October 2021.
Main studies reporting the testing rate of EGFR compound mutation in NSCLC tissue samples.
| Study | Region | Patients Screened (N) | Testing Method | ||
|---|---|---|---|---|---|
| (N, %) | (N, % of | ||||
| Syahruddin et al., 2018 [ | Indonesian | 1779 | PCR HRM | 791 (44.4) | 154 (19.5) |
| RFLP | |||||
| Zaini et al., 2019 [ | Indonesian | 116 | PCR HRM | 69 (63.2) | 18 (26) |
| RFLP | |||||
| Jing et al., 2018 [ | China | 112 | NGS | 58 (51.8) | 11 (18.9) |
| Mao et al., 2021 [ | China | 21,324 | NGS + qPCR + Sanger | 9,621 (47.5) | 642 (6.7) |
| Wen et al., 2019 [ | China | 1200 | NGS | 571(47.6) | 87 (15.3) |
| Zhou et al., 2021 [ | SW China | 2146 | ARMS-PCR | 346 (46) Q | 151 (43.6) Q |
| (Q vs. non-Q) | 710 (51) non-Q | 74 (10.4) non-Q | |||
| Namba et al., 2019 [ | Japan | 531 | MBS | 64 (n.e.) 1 | 8 (12.5) |
| Shi et al., 2013 [ | Malaysia | 484 | ARMS + HRM | 221 (45.7) | 9 (4) |
| Evans et al., 2019 [ | EU | 17,782 | qPCR | 1,737 (10.7) | 79 (4.9) |
| Sousa et al., 2020 [ | EU | 1228 | Sanger | 252 (20.5) | 19 (7.5) |
| Martin et al., 2019 [ | EU | 2906 | Sanger | 408 (14) | 22 (5.4) |
Not evaluable: randomly selected. ARMS: amplification refractory mutation system; EU: Europe; HRM: high resolution melt; MBS: amplicon-based targeted sequencing with the molecular barcoding system; NGS: next-generation sequencing; PCR: polymerase chain reaction; Q vs. non-Q: Qujing City vs. non-Qujing City; qPCR: real-time PCR; RFLP: restriction fragment length polymorphism.
Figure 2Pie chart representing the EGFR mutation landscape. Compound mutations account for about 4–26% of all EGFR mutations. This heterogeneous group comprises: common + common (e.g., exon 21 p.L858R + exon 19 deletions); common + uncommon (e.g., exon 21 p.L858R + exon 20 p.S768I); uncommon + uncommon (e.g., exon 18 p.E709A + exon 18 p.G719C); any + de novo exon 20 p.T790M (e.g., exon 21 p. L858R + exon 20 p.T790M).
Figure 3Clinical outcomes of compound EGFR mutations with different EGFR TKIs; de novo T790M compound mutations are excluded. NR: not reported. NE: not estimable.
Advantages and disadvantages of the main molecular techniques.
| Methodology | Advantages | Disadvantages |
|---|---|---|
| RT-PCR |
rapid (low TAT) low costs extensively adopted in molecular predictive pathology laboratories |
low limit of detection ability to detect only known and well characterized alterations limited multiplexing power |
| dPCR |
rapid (low TAT) low costs possibility to detect variant at low allelic frequency (high sensitivity) |
detection of only known and well characterized alterations limited multiplexing power |
| NGS |
possibility to detect variant at low allelic frequency (high sensitivity) ability to detect all variant within the gene panel adopted (broad reference range) multiplexing power |
careful validation, in particular for non-FFPE samples bioinformaticians support is required high specialized and trained personnel |
Abbreviations: cfNAs: circulating free nucleic acids; dPCR: digital polymerase chain reaction; FFPE: formalin-fixed paraffin-embedded; NGS: next-generation sequencing; RT-PCR: real-time polymerase chain reaction; TAT: turnaround time.