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Michele Milella
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P1.01 - Advanced NSCLC (ID 158)
- Event: WCLC 2019
- Type: Poster Viewing in the Exhibit Hall
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 9/08/2019, 09:45 - 18:00, Exhibit Hall
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P1.01-59 - Expanding Access to Large-Scale Genomic Mutational Analyses for Patients with Advanced NSCLC in Italy (ID 2410)
09:45 - 18:00 | Author(s): Michele Milella
- Abstract
Background
In NSCLC, large-scale mutational analysis facilitates access to targeted treatments but is still not routinely employed due to significant technological barriers. The Alleanza Contro il Cancro (ACC) network of Italian Cancer Centers developed an affordable targeted sequencing panel for the identification of multiple genetic alterations with potential clinical utility, and designed a prospective multicentric trial to recruit 1000 newly diagnosed advanced NSCLC patients, aiming to i) compare panel performance against a set of externally validated biomarkers, including alterations in standard-of-care (EGFR, ROS1 and ALK) and non-standard-of-care (KRAS, BRAF, MET) biomarkers; ii) identify alterations in a large dataset of driver and potentially actionable genes; iii) correlate genotypes to survival outcomes and toxicity; iv) carry out ancillary studies on additional biomarkers and/or on specific patient groups (e.g. mutational burden, cfDNA, extensive characterization of immunotherapy-treated patients); v) build a centralized data repository for mutation interpretation and clinical recommendation.
Method
Through systematic literature mining and ad-hoc developed bioinformatic pipelines we identified: i) a set of 164 potentially actionable genes in solid tumors; ii) additional 18 genes with predicted driver function in NSCLC; iii) 70 actionable fusion transcripts; iii) 141 SNPs associated with pharmacogenomics markers. We designed a custom enrichment panel (~800 kb target) and compared PCR- and hybridization-based enrichment on semiconductor or by-synthesis sequencing to be subsequently deployed in a large observational trial. Sequencing is decentralized, to allow rapid turnaround time, but raw and processed data are collected in a single informatic infrastructure for centralized quality control and continuous bioinformatic pipeline improvement.
Result
PCR/semiconductor sequencing was selected for deployment based on cost and feasibility (2-day, highly automated workflow). 182 patients have been enrolled to date (90% stage IV, 10% IIIB). Of 65 patients with treatment information available, 28 (43%) subsequently received immunotherapy and 13 (20%) targeted therapy. For 56 patients with complete sequencing data, EGFR and KRAS status was concordant in 9/10 and 38/41 cases; discordant cases are being validated with orthogonal methods. Clinically significant MET amplifications were called in 2/2 cases. Remaining target regions did not show pathogenic alterations. Multiple alterations in potentially actionable genes were identified.
Conclusion
Large-scale sequencing is reliable, feasible and sustainable across multiple hospitals and provides clinically relevant results. The increased availability of genomic information may result in enhanced access to tailored therapies. Data and sample integration in centralized, shared repositories will allow multiple ancillary studies.
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P2.04 - Immuno-oncology (ID 167)
- Event: WCLC 2019
- Type: Poster Viewing in the Exhibit Hall
- Track: Immuno-oncology
- Presentations: 1
- Moderators:
- Coordinates: 9/09/2019, 10:15 - 18:15, Exhibit Hall
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P2.04-51 - A 6-Gene Immune Genomic Signature (IGS) Predicts Resistance to Nivolumab [NIV] in Advanced Pretreated NSCLC: Results of PRINCiPe Trial (ID 1885)
10:15 - 18:15 | Author(s): Michele Milella
- Abstract
Background
Genomic abnormalities detected in immune-escape/editing-related genes may promote immunotherapy resistance. In the light of this hypothesis, we designed the PRINCiPe (Predictors of Resistance to Immunotherapy with NIV) study in APNSCLC.
Method
FFPE-tumor blocks of APNSCLC pts undergone NIV were retrospectively sequenced for Somatic Mutations/Copy Number Variations (SM/CNV) (Ampliseq 17-genes customized panel: APLNR, B2M, IFNAR1, IFNAR2, IFNGR1, IFNGR2, IRF9, JAK1, JAK2, JAK3, PIAS4, PTPN2, SOCS1, STAT1, STAT2, STAT3, TYK2). End-points of the PRINCiPe study were overall-, progression-free-survival (OS/PFS) and objective response rate (ORR).
Result
Forty-four APNSCLC pts were gathered (median age 69.5 yrs, median number of previous lines 3 [2-5], 2nd line NIV [75.0%], male/female 77.3/22.7%, squamous/non-squamous 31.8/68.2%, EGFR mutant 5 [11.4%], median follow-up 6.8 months [range 1-23], deaths 24 [54.5%]). JAK3/JAK2 (7/3 pts, 15.9/6.8%) CNV and IFNAR2 SM (4 pts, 9.1%) were the most frequent (>1 pts) abnormalities. Pts (n=15) with JAK3, PIAS4, PTPN2, STAT3, IFNAR2 SM and/or JAK2/3 CNV (IGS+) had a significantly lower PFS than those without (IGS-) (median PFS 2.8 vs. 6.6 months; p=0.006), while a trend towards significance was observed in terms of OS (median OS 5.1 vs. 13.0 months for IGS+ and IGS-, respectively; p=0.06 log-rank, p=0.05 Tarone-Ware). At multivariate analysis, IGS+ was independently associated with a shorter PFS (HR 2.64, 95% CI 1.3-5.4, p=0.008). IGS+ pts were significantly more probable to be affected by liver metastases than those without (p=0.01).
Conclusion
The identified IGS appears to select APNSCLC pts with a significant lower chance to benefit from NIV, supporting intrinsic resistance. A prospective larger and external validation is ongoing, as well as the comprehensive transcriptome analysis.
