| Literature DB >> 32303258 |
Maxime Fontanilles1,2, Florent Marguet3,4, Philippe Ruminy3, Carole Basset4, Adrien Noel5, Ludivine Beaussire5, Mathieu Viennot3, Pierre-Julien Viailly4, Kevin Cassinari6, Pascal Chambon6, Doriane Richard7, Cristina Alexandru8, Isabelle Tennevet8, Olivier Langlois9, Frédéric Di Fiore5,8,10, Annie Laquerrière3,4, Florian Clatot5,8, Nasrin Sarafan-Vasseur5.
Abstract
Epidermal growth factor receptor (EGFR) amplification and EGFR variant III (EGFRvIII, deletion of exons 2-7) are of clinical interest for glioblastoma. The aim was to develop a digital PCR (dPCR)-based method using locked nucleic acid (LNA)-based hydrolysis probes, allowing the simultaneous detection of the EGFR amplification and EGFRvIII variant. Sixty-two patients were included. An exploratory cohort (n = 19) was used to develop the dPCR assay using three selected amplicons within the EGFR gene, targeting intron 1 (EGFR1), junction of exon 3 and intron 3 (EGFR2) and intron 22 (EGFR3). The copy number of EGFR was estimated by the relative quantification of EGFR1, EGFR2 and EGFR3 amplicon droplets compared to the droplets of a reference gene. EGFRvIII was identified by comparing the copy number of the EGFR2 amplicon to either the EGFR1 or EGFR3 amplicon. dPCR results were compared to fluorescence in situ hybridization (FISH) and next-generation sequencing for amplification; and to RT-PCR-based method for EGFRvIII. The dPCR assay was then tested in a validation cohort (n = 43). A total of 8/19 EGFR-amplified and 5/19 EGFRvIII-positive tumors were identified in the exploratory cohort. Compared to FISH, the EGFR3 dPCR assay detected all EGFR-amplified tumors (8/8, 100%) and had the highest concordance with the copy number estimation by NGS. The concordance between RT-PCR and dPCR was also 100% for detecting EGFRvIII using an absolute difference of 10.8 for the copy number between EGFR2 and EGFR3 probes. In the validation cohort, the sensitivity and specificity of dPCR using EGFR3 probes were 100% for the EGFR amplification detection compared to FISH (19/19). EGFRvIII was detected by dPCR in 8 EGFR-amplified patients and confirmed by RT-PCR. Compared to FISH, the EGFR2/EGFR3 dPCR assay was estimated with a one-half cost value. These results highlight that dPCR allowed the simultaneous detection of EGFR amplification and EGFRvIII for glioblastoma.Entities:
Keywords: Cost-effectiveness; Digital PCR; EGFR amplification; EGFRvIII variant; Glioblastoma
Mesh:
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Year: 2020 PMID: 32303258 PMCID: PMC7165387 DOI: 10.1186/s40478-020-00917-6
Source DB: PubMed Journal: Acta Neuropathol Commun ISSN: 2051-5960 Impact factor: 7.801
Fig. 1Design of the dPCR assay using LNA-hydrolysis probes for detecting the EGFR amplification and EGFRvIII variant. a Three amplicons were designed within the EGFR gene from Universal Probe Library® (Sigma-Aldrich). EGFR1, EGFR2 and EGFR3 are located within three different regions in the gene. EGFR2 is inserted into the deleted region of the EGFRvIII variant (deletion of exons 2–7). b Two-dimensional cluster plot representing the 6-carboxyfluorescein (FAM)-labeled LNA-based hydrolysis probe for the EGFR-targeted sequence (EGFR1, EGFR2 or EGFR3) against the trichloro-phenylcarboxyfluorescein oligonucleotide (VIC)-labeled hydrolysis probe for the HMBS amplicon. Droplets are grouped as clusters: FAM/VIC-negative (double-negative droplets, blue), FAM-positive/VIC-negative (green), FAM-negative/VIC-positive (pink), and FAM/VIC-positive (double-positive droplets, orange). The EGFR copy number was determined by calculating the ratio of EGFR FAM-labeled droplets over the HMBS VIC-labeled droplets multiplied by the number of HMBS copies (× 2 in the human genome)
Clinical and Tumor characteristics
| Characteristics | Entire cohort | Exploratory cohort | Validation cohort | |
|---|---|---|---|---|
| Age (years), mean [min. – max.] | 56.9 [21–76] | 55.5 [28–76] | 57.7 [21–72] | |
| Sex | Female | 28 (45%) | 7 (37%) | 21 (49%) |
| Male | 34 (55%) | 12 (63%) | 22 (51%) | |
| Surgery | Biopsy | 25 (40%) | 8 (42%) | 17 (40%) |
| Resection | 37 (60%) | 11 (58%) | 26 (60%) | |
| Glioblastoma | 59 (95%) | 18 (95%) | 41 (95%) | |
| Giant cell glioblastoma | 1 (2%) | 1 (5%) | 0 | |
| Gliosarcoma | 2 (3%) | 0 | 2 (5%) | |
| Glioblastoma | 3 (5%) | 1 (5%) | 2 (5%) | |
| 27 (43%) | 8 (42%) | 19 (44%) | ||
| Non-methylated | 37 (60%) | 13 (68%) | 24 (56%) | |
| Methylated | 17 (27%) | 6 (32%) | 11 (26%) | |
| Unknown | 8 (13%) | 0 | 8 (18%) | |
| C228T | 41 (66%) | 14 (74%) | 27 (63%) | |
| C250T | 14 (23%) | 4 (21%) | 10 (23%) | |
| Wild-type | 7 (11%) | 1 (5%) | 6 (14%) |
Fig. 2Concordance between the results of the dPCR assay, FISH, next-generation sequencing (NGS) and LD-RT-PCR for the detection of the EGFR amplification and EGFRvIII variant in the exploratory cohort (n = 19). a Heatmap of EGFR copy number estimated by NGS and the three dPCR assays. Each column represents a tumor sample (n = 19). The blue gradient represents the estimated value of the EGFR copy number. There is a strong agreement between the EGFR1 and EGFR2 dPCR assays and NGS. The absence of results using the NGS experiment is indicated by the light gray color. Below the heatmap, the presence of EGFR mutations and EGFRvIII variant as well as the results of FISH are presented. The presence of somatic mutations was detected by the EGFR-targeted NGS panel, and the presence of the EGFRvIII variant was detected by LD-RT-PCR. Patient #08 harbors both the EGFR amplification and EGFRvIII variant with tumor heterogeneity regarding the copy number estimation by dPCR (EGFR1 63, EGFR2 70 and EGFR3 91). b Correlation matrix plot of EGFR copy number estimation using three dPCR assays (EGFR1, EGFR2 and EGFR3) and NGS (n = 16). The dPCR EGFR3 assay results have the highest correlation with the NGS results. On the other hand, the dPCR EGFR2 assay results have the poorest correlation, mainly due to its underestimation of the EGFR CNV in the case of EGFRvIII-positive glioblastoma. c Linear regression curves representing EGFR copy number values estimated by NGS (x-axis) and the copy number estimated by the three dPCR assays (y-axis). As expected with the results of the matrix correlation plot, the estimation using the dPCR EGFR3 assay was confirmed to have the best correlation to the NGS estimation
Fig. 3ROC curves of the copy number differences between the three dPCR assays for the prediction of the EGFRvIII variant. The three ROC curves represent the identification of the best diagnostic test to identify EGFRvIII using the absolute copy number differences between EGFR2 and the other dPCR assays, namely, EGFR1, EGFR3 and mean (EGFR1 + EGFR3). The best predictive test was selected using the highest AUC (difference of EGFR3 and EGFR2) and the threshold of the copy number difference that maximizes the sensitivity and specificity (10.8)
Fig. 4Three illustrative sample tumor examples using three dPCR assays and FISH. a Tumor with EGFR amplification. b Tumor without EGFR amplification. c Tumor with EGFR amplification and concomitant EGFRvIII variant. Corresponding FISH images are shown at the end of the line on the right