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D. Fabrizio
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MA04 - HER2, P53, KRAS and Other Targets in Advanced NSCLC (ID 380)
- Event: WCLC 2016
- Type: Mini Oral Session
- Track: Advanced NSCLC
- Presentations: 1
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MA04.09 - RICTOR Amplification in Non-Small Cell Lung Cancer: An Emerging Therapy Target (ID 6177)
16:00 - 17:30 | Author(s): D. Fabrizio
- Abstract
- Presentation
Background:
Comprehensive genomic profiling (CGP) can discover novel therapy targets in NSCLC. Amplification of RICTOR, encoding a component of the MTORC2 complex, has recently been identified as a targetable alteration leading to clinical benefit.
Methods:
CGP was performed on hybridization-captured, adaptor ligation-based libraries for up to 315 cancer-related genes plus select introns from 28 genes frequently rearranged in cancer on 14,698 consecutive cases of NSCLC, comprising lung adenocarcinoma, squamous cell carcinoma (SCC) or NSCLC not otherwise specified (NOS). Tumor mutational burden (TMB) was determined on 1.1 Mb of sequenced DNA. All classes of genomic alterations (GA) were assessed simultaneously, including base substitutions, indels, rearrangements/fusions, and copy number changes.
Results:
747 (5.0%) NSCLC featured RICTOR amplification (amp). There were 380 (51%) male and 367 (49%) female patients with a mean age of 64.1 years (range 18-88 years). The primary tumor was analyzed in 333 (45%) cases and a metastasis biopsy in 414 (55%) cases. Genes most frequently co-altered with RICTOR amp included TP53 (79.5%) and FGF10 (64.6%), which is located close to RICTOR on chromosome 5 and is frequently co-amplified. Several known oncogenes in NSCLC were mutated at significantly higher rates in tumors with RICTOR amp, including EGFR (22%), MET (8.4%), ERBB2 (7%), as well as FGFR1 (5%), FGFR3 (1.4%), and FGFR4 (1.6%). 42.2% of tumors with RICTOR amp did not harbor additional alterations in KRAS or genes indicated in the NCCN guidelines. KRAS GA were identified in 19.6% of RICTOR amp tumors, compared with 29.8% of all NSCLC, but this difference was not statistically significant. Mean TMB in RICTOR amp tumors was intermediate (14.9 mut/Mb), and is higher than the overall average for NSCLC (9.2 mut/Mb). The number of RICTOR-amplified tumors with high TMB (>20 mut/Mb) was 23%, higher than the rate for non-RICTOR amp NSCLC (12.9%). Examples of patients with RICTOR amplification within late stage NSCLC responding to MTOR inhibitors will be presented.
Conclusion:
RICTOR amplification, when compared to other non-EGFR known drivers of NSCLC, is a relatively frequent clinically relevant GA that has been shown to respond to MTOR inhibitors. The co-occurrence of RICTOR amplification with mutation of known oncogenic drivers suggests a possible mechanism of acquired resistance to therapy that should be explored further. Tumors with RICTOR amp more often have higher levels of TMB than other NSCLC. Further study of RICTOR amp as a therapy target NSCLC in a clinical trial setting appears warranted.
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MA14 - Immunotherapy in Advanced NSCLC: Biomarkers and Costs (ID 394)
- Event: WCLC 2016
- Type: Mini Oral Session
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:M. Reck, D.R. Spigel
- Coordinates: 12/06/2016, 16:00 - 17:30, Strauss 2
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MA14.01 - Updated Dataset Assessing Tumor Mutation Burden (TMB) as a Biomarker for Response to PD-1/PD-L1 Targeted Therapies in Lung Cancer (LC) (ID 4011)
16:00 - 17:30 | Author(s): D. Fabrizio
- Abstract
- Presentation
Background:
Immune checkpoint inhibitors (ICPIs) nivolumab and pembrolizumab have been FDA-approved in non-small cell LC (NSCLC). Current IHC based diagnostics are challenged by assay and slide scoring issues and modest predictive value, and more robust and comprehensive biomarkers of ICPI efficacy are needed. A discovery set of 64 NSCLCs treated with ICPIs suggested that high TMB (≥15 mutations/Mb) significantly correlated with longer time on drug (Spigel et al., ASCO 2016, Abstract:9017).
Methods:
Comprehensive genomic profiling (CGP) was performed during the course of clinical care. TMB was assessed as the number of somatic, coding, base substitution and indels per Mb of genome. Microsatellite instability-high (MSI-H) or stable (MSS) status was determined using a proprietary algorithm.
Results:
15,529 LCs: 66% adenocarcinoma, 1% sarcomatoid, 14% NSCLC NOS, 11% squamous, 5% small cell, and 2% large cell were assessed. TMB was similar across all lung histologies (median: 6.3, 8.1, 9.0, 9.9, 9.9, and 10.8); the median was 7.6 for all LC cases (TMB ≥15 in 24% of cases), compared to 4.5 for 80,000+ samples of diverse tumor types in the database. Of LCs assessed 0.3% were MSI-H, of which 30/31 were TMB-high; however, 24% of MSS-stable cases were also TMB-high. PD-L1 amplification and DNA repair pathway mutation (MLH1, MSH2, POLE) were found in 1.0% and 1.1% of LC cases analyzed, respectively. Tumors harboring known drivers (ALK, ROS1, EGFR, BRAF V600E, MET splice) had low TMB (median: 2.5, 3.6, 3.8, 3.8, 4.5), whereas tumors with KRAS mutation, non-V600E BRAF mutation, PD-L1 amplification, or DNA repair alterations were more likely to be TMB-high (median: 9.0, 10.8, 14.4, 21.6).
Conclusion:
High TMB may be a predictive biomarker of response to ICPIs. Several factors including lack of a known driver, MSI-H status, PD-L1 amplification, and DNA repair mutation correlated with high TMB (P<0.0001 for all cases). However, 95% of TMB-high cases assessed were MSS and lacked both PD-L1 amplification and DNA repair mutation, and thus would likely not be selected for immunotherapy by assessment of individual genomic alterations or MSI status alone. A validation cohort of NSCLC patients treated with anti-PD-1/PD-L1 therapies including analysis of clinical outcome, TMB, genomic profile, and available clinicopathologic characteristics will be presented. CGP of LC to simultaneously determine TMB, MSI status, PD-L1 amplification, and the presence of driver alterations may provide clinically useful predictors of response to ICPI and other targeted therapies using a single platform, but prospective clinical trials are needed to confirm these observations.
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