Improved EGFR mutation detection using combined exosomal RNA and circulating tumor DNA in NSCLC patient plasma

A K Krug, D Enderle, C Karlovich, T Priewasser, S Bentink, A Spiel, K Brinkmann, J Emenegger, D G Grimm, E Castellanos-Rizaldos, J W Goldman, L V Sequist, J-C Soria, D R Camidge, S M Gadgeel, H A Wakelee, M Raponi, M Noerholm, J Skog, A K Krug, D Enderle, C Karlovich, T Priewasser, S Bentink, A Spiel, K Brinkmann, J Emenegger, D G Grimm, E Castellanos-Rizaldos, J W Goldman, L V Sequist, J-C Soria, D R Camidge, S M Gadgeel, H A Wakelee, M Raponi, M Noerholm, J Skog

Abstract

Background: A major limitation of circulating tumor DNA (ctDNA) for somatic mutation detection has been the low level of ctDNA found in a subset of cancer patients. We investigated whether using a combined isolation of exosomal RNA (exoRNA) and cell-free DNA (cfDNA) could improve blood-based liquid biopsy for EGFR mutation detection in non-small-cell lung cancer (NSCLC) patients.

Patients and methods: Matched pretreatment tumor and plasma were collected from 84 patients enrolled in TIGER-X (NCT01526928), a phase 1/2 study of rociletinib in mutant EGFR NSCLC patients. The combined isolated exoRNA and cfDNA (exoNA) was analyzed blinded for mutations using a targeted next-generation sequencing panel (EXO1000) and compared with existing data from the same samples using analysis of ctDNA by BEAMing.

Results: For exoNA, the sensitivity was 98% for detection of activating EGFR mutations and 90% for EGFR T790M. The corresponding sensitivities for ctDNA by BEAMing were 82% for activating mutations and 84% for T790M. In a subgroup of patients with intrathoracic metastatic disease (M0/M1a; n = 21), the sensitivity increased from 26% to 74% for activating mutations (P = 0.003) and from 19% to 31% for T790M (P = 0.5) when using exoNA for detection.

Conclusions: Combining exoRNA and ctDNA increased the sensitivity for EGFR mutation detection in plasma, with the largest improvement seen in the subgroup of M0/M1a disease patients known to have low levels of ctDNA and poses challenges for mutation detection on ctDNA alone.

Clinical trials: NCT01526928.

Figures

Figure 1.
Figure 1.
NSCLC patient subgroups. Overview of the n =84 patients in this study, in three partially overlapping subgroups: the TIGER-X representative subgroup A, the low copy subgroup B and the M0/M1a subgroup C.
Figure 2.
Figure 2.
Comparison between exoNA (EXO1000) and ctDNA-only (BEAMing) platforms. Combined exosomal RNA and cell-free DNA (exoNA) was analyzed using the EXO1000 liquid biopsy platform and compared with ctDNA analysis by BEAMing. (A) EGFR mutant copies found in exoNA compared with copies in ctDNA within the complete patient cohort. The triangles represent del19, hollow circles L858R, full circle L861Q (activating mutations) and squares T790M mutations; identity line shows equal copies/mL plasma. (B) Summary of EGFR detection in plasma within all tumor EGFR positives. (C) Summary of mutant copies found in exoNA and ctDNA. P-values were derived from a paired, one-tailed t-test comparing the two groups. ND, not detected; cps, copies; MUT, mutations.

References

    1. Gadgeel SM. Personalized therapy of non-small cell lung cancer (NSCLC). Adv Exp Med Biol 2016; 890: 203–222.
    1. Kim ES, Hirsh V, Mok T. et al. Gefitinib versus docetaxel in previously treated non-small-cell lung cancer (INTEREST): a randomised phase III trial. Lancet 2008; 372(9652): 1809–1818.
    1. Thompson JC, Yee SS, Troxel AB. et al. Detection of therapeutically targetable driver and resistance mutations in lung cancer patients by next generation sequencing of cell-free circulating tumor DNA. Clin Cancer Res 2016; 22(23): 5772–5782.
    1. Brock G, Castellanos-Rizaldos E, Hu L. et al. Liquid biopsy for cancer screening, patient stratification and monitoring. Transl Cancer Res 2015; 3: 280–290.
    1. Reckamp KL, Melnikova VO, Karlovich C. et al. A highly sensitive and quantitative test platform for detection of NSCLC EGFR mutations in urine and plasma. J Thorac Oncol 2016; 11(10): 1690–1700.
    1. Douillard JY, Ostoros G, Cobo M. et al. Gefitinib treatment in EGFR mutated Caucasian NSCLC: circulating-free tumor DNA as a surrogate for determination of EGFR status. J Thorac Oncol 2014; 9(9): 1345–1353.
    1. Cobas EGFR Mutation Test v2; FDA Summary of Safety and Effectiveness Data; 2016; (2 January 2018, date last accessed).
    1. CE-IVD marking for therascreen EGFR RGQ Plasma PCR kit; 2015. [press release]; .
    1. Underhill HR, Kitzman JO, Hellwig S. et al. Fragment length of circulating tumor DNA. PLoS Genet. 2016; 12(7): e1006162..
    1. Diehl F, Li M, Dressman D. et al. Detection and quantification of mutations in the plasma of patients with colorectal tumors. Proc Natl Acad Sci U S A 2005; 102(45): 16368–16373.
    1. Newman AM, Bratman SV, To J. et al. An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage. Nat Med 2014; 20(5): 548–554.
    1. Bettegowda C, Sausen M, Leary RJ. et al. Detection of circulating tumor DNA in early- and late-stage human malignancies. Sci Transl Med 2014; 6(224): 224ra24.
    1. Tseng JS, Yang TY, Tsai CR. et al. Dynamic plasma EGFR mutation status as a predictor of EGFR-TKI efficacy in patients with EGFR-mutant lung adenocarcinoma. J Thorac Oncol 2015; 10(4): 603–610.
    1. Tie J, Kinde I, Wang Y. et al. Circulating tumor DNA as an early marker of therapeutic response in patients with metastatic colorectal cancer. Ann Oncol 2015; 26(8): 1715–1722.
    1. Cobas EGFR Mutation Test v2; PMA 150047; FDA Summary of Safety and Effectiveness Data; (2 January 2018, date last accessed).
    1. Oxnard GR, Thress KS, Alden RS. et al. Association between plasma genotyping and outcomes of treatment with osimertinib (AZD9291) in advanced non-small-cell lung cancer. J Clin Oncol 2016; 34(28): 3375–3382.
    1. Karlovich C, Goldman JW, Sun JM. et al. Assessment of EGFR mutation status in matched plasma and tumor tissue of NSCLC patients from a phase I study of rociletinib (CO-1686). Clin Cancer Res 2016; 22(10): 2386–2395.
    1. Raposo G, Stoorvogel W.. Extracellular vesicles: exosomes, microvesicles, and friends. J Cell Biol 2013; 200(4): 373–383.
    1. Skog J, Würdinger T, van Rijn S. et al. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat Cell Biol 2008; 10(12): 1470–1476.
    1. Thakur BK, Zhang H, Becker A. et al. Double-stranded DNA in exosomes: a novel biomarker in cancer detection. Cell Res 2014; 24(6): 766–769.
    1. McKiernan J, Donovan MJ, O'Neill V. et al. A novel urine exosome gene expression assay to predict high-grade prostate cancer at initial biopsy. JAMA Oncol 2016; 2(7): 882–889.
    1. Demory Beckler M, Higginbotham JN, Franklin JL. et al. Proteomic analysis of exosomes from mutant KRAS colon cancer cells identifies intercellular transfer of mutant KRAS. Mol Cell Proteomics 2013; 12(2): 343–355.
    1. Enderle D, Spiel A, Coticchia CM. et al. Characterization of RNA from exosomes and other extracellular vesicles isolated by a novel spin column-based method. PLoS One 2015; 10(8): e0136133..
    1. Jahr S, Hentze H, Englisch S. et al. DNA fragments in the blood plasma of cancer patients: quantitations and evidence for their origin from apoptotic and necrotic cells. Cancer Res 2001; 61(4): 1659–1665.
    1. Sequist LV, Rolfe L, Allen AR.. Rociletinib in EGFR-mutated non-small-cell lung cancer. N Engl J Med 2015; 373(6): 578–579.
    1. Sequist LV, Soria JC, Camidge DR.. Update to rociletinib data with the RECIST confirmed response rate. N Engl J Med 2016; 374(23): 2296–2297.
    1. Möhrmann L, Huang H, Hong D. et al. Liquid biopsies using plasma exosomal nucleic acids and plasma cell-free DNA and clinical outcomes of patients with advanced cancers. Clin Cancer Res 2018; doi:10.1158/1078-0432.CCR-17-2007.
    1. Weber B, Meldgaard P, Hager H. et al. Detection of EGFR mutations in plasma and biopsies from non-small cell lung cancer patients by allele-specific PCR assays. BMC Cancer 2014; 14: 294..
    1. Wiener RS, Schwartz LM, Woloshin S, Welch HG.. Population-based risk for complications after transthoracic needle lung biopsy of a pulmonary nodule: an analysis of discharge records. Ann Intern Med 2011; 155(3): 137–144.
    1. Lokhandwala T, Bittoni MA, Dann RA. et al. Costs of diagnostic assessment for lung cancer: a medicare claims analysis. Clin Lung Cancer 2017; 18(1): e27–e34.
    1. Alix-Panabières C, Pantel K.. Clinical applications of circulating tumor cells and circulating tumor DNA as liquid biopsy. Cancer Discov 2016; 6(5): 479–491.
    1. Schwaederle M, Husain H, Fanta PT. et al. Use of liquid biopsies in clinical oncology: pilot experience in 168 patients. Clin Cancer Res 2016; 22(22): 5497–5505.
    1. Danila DC, Heller G, Gignac GA. et al. Circulating tumor cell number and prognosis in progressive castration-resistant prostate cancer. Clin Cancer Res 2007; 13(23): 7053–7058.
    1. Uchida J, Kato K, Kukita Y. et al. Diagnostic accuracy of noninvasive genotyping of EGFR in lung cancer patients by deep sequencing of plasma cell-free DNA. Clin Chem 2015; 61(9): 1191–1196.
    1. Thress KS, Brant R, Carr TH. et al. EGFR mutation detection in ctDNA from NSCLC patient plasma: a cross-platform comparison of leading technologies to support the clinical development of AZD9291. Lung Cancer 2015; 90(3): 509–515.
    1. Guo K, Zhang Z, Han L. et al. Detection of epidermal growth factor receptor mutation in plasma as a biomarker in Chinese patients with early-stage non-small cell lung cancer. Onco Targets Ther 2015; 8: 3289–3296.
    1. SEER Cancer Statistics Review (CSR) 1975-2011: ; 2017; - table3 (2 January 2018, date last accessed).
    1. Piotrowska Z, Sequist LV.. Epidermal growth factor receptor-mutant lung cancer: new drugs, new resistance mechanisms, and future treatment options. Cancer J 2015; 21(5): 371–377.
    1. Sacher AG, Paweletz C, Dahlberg SE. et al. Prospective validation of rapid plasma genotyping for the detection of EGFR and KRAS mutations in advanced lung cancer. JAMA Oncol 2016; 2(8): 1014.
    1. Gerlinger M, Rowan AJ, Horswell S. et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 2012; 366(10): 883–892.
    1. Dupont Jensen J, Laenkholm AV, Knoop A. et al. PIK3CA mutations may be discordant between primary and corresponding metastatic disease in breast cancer. Clin Cancer Res. 2011; 17(4): 667–677.

Source: PubMed

3
订阅