Circulating tumour DNA biomarkers in savolitinib-treated patients with non-small cell lung cancer harbouring MET exon 14 skipping alterations: a post hoc analysis of a pivotal phase 2 study

Yongfeng Yu, Yongxin Ren, Jian Fang, Lejie Cao, Zongan Liang, Qisen Guo, Sen Han, Zimei Ji, Ye Wang, Yulan Sun, Yuan Chen, Xingya Li, Hua Xu, Jianying Zhou, Liyan Jiang, Ying Cheng, Zhigang Han, Jianhua Shi, Gongyan Chen, Rui Ma, Yun Fan, Sanyuan Sun, Longxian Jiao, Xiaoyun Jia, Linfang Wang, Puhan Lu, Qian Xu, Xian Luo, Weiguo Su, Shun Lu, Yongfeng Yu, Yongxin Ren, Jian Fang, Lejie Cao, Zongan Liang, Qisen Guo, Sen Han, Zimei Ji, Ye Wang, Yulan Sun, Yuan Chen, Xingya Li, Hua Xu, Jianying Zhou, Liyan Jiang, Ying Cheng, Zhigang Han, Jianhua Shi, Gongyan Chen, Rui Ma, Yun Fan, Sanyuan Sun, Longxian Jiao, Xiaoyun Jia, Linfang Wang, Puhan Lu, Qian Xu, Xian Luo, Weiguo Su, Shun Lu

Abstract

Background: Savolitinib, a selective MET inhibitor, showed efficacy in patients with non-small cell lung cancer (NSCLC), including pulmonary sarcomatoid carcinoma (PSC), harbouring MET exon 14 skipping alteration (METex14).

Objective: To analyse post hoc, the association between circulating tumour DNA (ctDNA) biomarkers and clinical outcomes, including resistance, with savolitinib.

Design: A multicentre, single-arm, open-label phase 2 study.

Methods: All enrolled patients with baseline plasma samples were included. Outcomes were objective response rate (ORR), progression-free survival (PFS) and overall survival (OS) by baseline METex14 and post-treatment clearance, coexisting gene alterations at baseline and disease progression.

Results: Among 66 patients with baseline ctDNA sequencing, 46 (70%) had detectable METex14. Frequent coexisting baseline gene alterations included TP53 and POT1 mutations. Patients with detectable baseline METex14 exhibited worse PFS [hazard ratio (HR), 1.77; 95% confidence interval (CI), 0.88-3.57; p = 0.108] and OS (HR, 3.26; 95% CI, 1.35-7.89; p = 0.006) than those without, despite showing a numerically higher ORR. Among 24 patients with baseline detectable METex14 and evaluable postbaseline samples, 13 achieved METex14 clearance post-treatment. Median time to first clearance was 1.3 months (range, 0.7-1.5). METex14 post-treatment clearance was associated with better ORR (92.3%; 95% CI, 64.0-99.8 versus 36.4%; 95% CI, 10.9-69.2; p = 0.0078), PFS (HR, 0.44; 95% CI, 0.2-1.3; p = 0.1225) and OS (HR, 0.31; 95% CI, 0.1-1.0; p = 0.0397) versus non-clearance. Among 22 patients with disease progression, 10 acquired pathway alterations (e.g. in RAS/RAF and PI3K/PTEN) alone or with secondary MET mutations (D1228H/N and Y1230C/H/S).

Conclusion: ctDNA biomarkers may allow for longitudinal monitoring of clinical outcomes with savolitinib in patients with METex14-positive PSC and other NSCLC subtypes. Specifically, undetectable baseline METex14 or post-treatment clearance may predict favourable clinical outcomes, while secondary MET mutations and other acquired gene alterations may explain resistance to savolitinib.

Registration: The trial was registered with ClinicalTrials.gov (NCT02897479) on 13 September 2016.

Keywords: MET exon 14 skipping; circulating tumour DNA; non-small cell lung cancer; pulmonary sarcomatoid carcinoma; savolitinib.

Conflict of interest statement

SL reports receiving research support from AstraZeneca, HUTCHMED, Bristol Myers Squibb, Hengrui Therapeutics, BeiGene, Roche and Hansoh; receiving speaker fees from AstraZeneca, Roche, Hansoh and Hengrui Therapeutics and being an advisor and consultant for AstraZeneca, Pfizer, Boehringer Ingelheim, HUTCHMED, Simcere, Zai Lab, GenomiCare, Yuhan Corporation, prIME Oncology, Menarini, InventisBio Co. Ltd and Roche. No disclosures were reported by the other authors.

© The Author(s), 2022.

Figures

Figure 1.
Figure 1.
Patient flow in the post hoc analysis. ctDNA, circulating tumour DNA; FAS, full analysis set;METex14, MET exon 14 skipping alteration; PD, progressive disease.
Figure 2.
Figure 2.
Kaplan–Meier survival curves for (a) PFS and (b) OS byMETex14 ctDNA status at baseline. CI, confidence interval; ctDNA, circulating tumour DNA; HR, hazard ratio;METex14, MET exon 14 skipping alteration; NC, not calculable; NR, not reached; OS, overall survival; PFS, progression-free survival.
Figure 3.
Figure 3.
(a) Best change in target lesions and best overall response byMETex14 post-treatment clearance. (b) Time to firstMETex14 clearance. aOne patient stopped treatment prior to the tumour assessment time point owing to adverse event; the best overall response for this patient was SD since PR was not confirmed. bOne patient’s sample (Pt 04) was collected prior to the tumour assessment time point (before 6 weeks). ctDNA, circulating tumour DNA; METex14,MET exon 14 skipping alteration; NE, not evaluable; PD, progressive disease; PR, partial response; Pt, patient; SD, stable disease.
Figure 4.
Figure 4.
Kaplan–Meier survival curves for (a) PFS and (b) OS byMETex14 post-treatment clearance. CI, confidence interval; ctDNA, circulating tumour DNA; HR, hazard ratio;METex14, MET exon 14 skipping alteration; NC, not calculable; OS, overall survival; PFS, progression-free survival.
Figure 5.
Figure 5.
Association of baseline METex14 and coexisting gene alterations with best overall response. aTwo patients with PSC and three with other NSCLC subtypes did not have best change in target lesions data determined by IRC; they either had no target lesion or no tumour assessment during treatment. IRC, independent review committee; METex14,MET exon 14 skipping alteration; NE, not evaluable; NSCLC, non-small cell lung cancer; PD, progressive disease; PI3K, phosphoinositide 3-kinase; PR, partial response; PSC, pulmonary sarcomatoid carcinoma; RTK, receptor tyrosine kinase; SD, stable disease; SNV, single nucleotide variation.
Figure 6.
Figure 6.
Gene alterations determined from paired ctDNA samples collected at baseline and disease progression (n = 22). METex14, MET exon 14 skipping alteration; NSCLC, non-small cell lung cancer; PD, progressive disease; PI3K, phosphoinositide 3-kinase; PR, partial response; PSC, pulmonary sarcomatoid carcinoma; RTK, receptor tyrosine kinase; SD, stable disease; SNV, single nucleotide variation.

References

    1. Madison R, Schrock AB, Castellanos E, et al.. Retrospective analysis of real-world data to determine clinical outcomes of patients with advanced non-small cell lung cancer following cell-free circulating tumor DNA genomic profiling. Lung Cancer 2020; 148: 69–78.
    1. Salgia R, Sattler M, Scheele J, et al.. The promise of selective MET inhibitors in non-small cell lung cancer with MET exon 14 skipping. Cancer Treat Rev 2020; 87: 102022.
    1. Karim NA, Schuster J, Eldessouki I, et al.. Pulmonary sarcomatoid carcinoma: university of cincinnati experience. Oncotarget 2018; 9: 4102–4108.
    1. Vieira T, Girard N, Ung M, et al.. Efficacy of first-line chemotherapy in patients with advanced lung sarcomatoid carcinoma. J Thorac Oncol 2013; 8: 1574–1577.
    1. Hong L, Zhang J, Heymach JV, et al.. Current and future treatment options for MET exon 14 skipping alterations in non-small cell lung cancer. Ther Adv Med Oncol 2021; 13: 1758835921992976.
    1. Paik PK, Felip E, Veillon R, et al.. Tepotinib in non-small-cell lung cancer with MET exon 14 skipping mutations. N Engl J Med 2020; 383: 931–943.
    1. Wolf J, Seto T, Han JY, et al.. Capmatinib in MET exon 14-mutated or MET-amplified non-small-cell lung cancer. N Engl J Med 2020; 383: 944–957.
    1. Jia H, Dai G, Weng J, et al.. Discovery of (S)-1-(1-(Imidazo[1,2-a]pyridin-6-yl)ethyl)-6-(1-methyl-1H-pyrazol-4-yl)-1H-[1,2,3]triazolo[4,5-b]pyrazine (volitinib) as a highly potent and selective mesenchymal-epithelial transition factor (c-Met) inhibitor in clinical development for treatment of cancer. J Med Chem 2014; 57: 7577–7589.
    1. Lu S, Fang J, Li X, et al.. Once-daily savolitinib in Chinese patients with pulmonary sarcomatoid carcinomas and other non-small-cell lung cancers harbouring MET exon 14 skipping alterations: a multicentre, single-arm, open-label, phase 2 study. Lancet Respir Med 2021; 9: 1154–1164.
    1. Roosan MR, Mambetsariev I, Pharaon R, et al.. Utility of circulating tumor DNA in identifying somatic mutations and tracking tumor evolution in patients with non-small cell lung cancer. Chest 2021; 160: 1095–1107.
    1. Akhoundova D, Mosquera Martinez J, Musmann LE, et al.. The role of the liquid biopsy in decision-making for patients with non-small cell lung cancer. J Clin Med 2020; 9: 3674.
    1. Wang DS, Liu ZX, Lu YX, et al.. Liquid biopsies to track trastuzumab resistance in metastatic HER2-positive gastric cancer. Gut 2019; 68: 1152–1161.
    1. Le X, Kowalski D, Cho BC, et al.. Liquid biopsy to detect MET exon 14 skipping METex14) and MET amplification in patients with advanced NSCLC: biomarker analysis from VISION study. Cancer Res 2020; 80 (16 Suppl): 3385.
    1. Drilon A, Clark JW, Weiss J, et al.. Antitumor activity of crizotinib in lung cancers harboring a MET exon 14 alteration. Nat Med 2020; 26: 47–51.
    1. Paweletz CP, Lau CJ, Oxnard GR. Does testing error underlie liquid biopsy discordance? JCO Precis Oncol 2019; 3: 1–3.
    1. Sakai H, Morise M, Kato M, et al.. Tepotinib in patients with NSCLC harbouring MET exon 14 skipping: Japanese subset analysis from the Phase II VISION study. Jpn J Clin Oncol 2021; 51: 1261–1268.
    1. Zhu YJ, Zhang HB, Liu YH, et al.. Estimation of cell-free circulating EGFR mutation concentration predicts outcomes in NSCLC patients treated with EGFR-TKIs. Oncotarget 2017; 8: 13195–13205.
    1. Madsen AT, Winther-Larsen A, McCulloch T, et al.. Genomic profiling of circulating tumor DNA predicts outcome and demonstrates tumor evolution in ALK-positive non-small cell lung cancer patients. Cancers (Basel) 2020; 12: 947.
    1. Wang Z, Cheng Y, An T, et al.. Detection of EGFR mutations in plasma circulating tumour DNA as a selection criterion for first-line gefitinib treatment in patients with advanced lung adenocarcinoma (BENEFIT): a phase 2, single-arm, multicentre clinical trial. Lancet Respir Med 2018; 6: 681–690.
    1. Papadimitrakopoulou VA, Han JY, Ahn MJ, et al.. Epidermal growth factor receptor mutation analysis in tissue and plasma from the AURA3 trial: osimertinib versus platinum-pemetrexed for T790M mutation-positive advanced non-small cell lung cancer. Cancer 2020; 126: 373–380.
    1. Liao B-C, Hsu W-H, Lee J-H, et al.. Serial plasma cell-free circulating tumor DNA tests identify genomic alterations for early prediction of osimertinib treatment outcome in EGFR T790M–positive NSCLC. JTO Clin Res Rep 2021; 2: 100099.
    1. Qin K, Hou H, Liang Y, et al.. Prognostic value of TP53 concurrent mutations for EGFR- TKIs and ALK-TKIs based targeted therapy in advanced non-small cell lung cancer: a meta-analysis. BMC Cancer 2020; 20: 328.
    1. Iwama E, Sakai K, Azuma K, et al.. Exploration of resistance mechanisms for epidermal growth factor receptor-tyrosine kinase inhibitors based on plasma analysis by digital polymerase chain reaction and next-generation sequencing. Cancer Sci 2018; 109: 3921–3933.
    1. Awad MM, Bahcall M, Sholl LM, et al.. Mechanisms of acquired resistance to MET tyrosine kinase inhibitors (TKIs) in MET exon 14 (METex14) mutant non-small cell lung cancer (NSCLC). J Clin Oncol 2018; 36 (15 suppl): 9069.
    1. Recondo G, Bahcall M, Spurr LF, et al.. Molecular mechanisms of acquired resistance to MET tyrosine kinase inhibitors in patients with MET exon 14-mutant NSCLC. Clin Cancer Res 2020; 26: 2615–2625.
    1. Rotow JK, Gui P, Wu W, et al.. Co-occurring alterations in the RAS-MAPK pathway limit response to MET inhibitor treatment in MET exon 14 skipping mutation-positive lung cancer. Clin Cancer Res 2020; 26: 439–449.
    1. Dagogo-Jack I, Moonsamy P, Gainor JF, et al.. A phase 2 study of capmatinib in patients with MET-altered lung cancer previously treated with a MET Inhibitor. J Thorac Oncol 2021; 16: 850–859.
    1. Fujino T, Kobayashi Y, Suda K, et al.. Sensitivity and resistance of MET exon 14 mutations in lung cancer to eight MET tyrosine kinase inhibitors in vitro. J Thorac Oncol 2019; 14: 1753–1765.
    1. Lu X, Peled N, Greer J, et al.. MET exon 14 mutation encodes an actionable therapeutic target in lung adenocarcinoma. Cancer Res 2017; 77: 4498–4505.
    1. Han S, Fang J, Lu S, et al.. Response and acquired resistance to savolitinib in a patient with pulmonary sarcomatoid carcinoma harboring MET exon 14 skipping mutation: a case report. Onco Targets Ther 2019; 12: 7323–7328.
    1. Suzawa K, Offin M, Lu D, et al.. Activation of KRAS mediates resistance to targeted therapy in MET exon 14-mutant non-small cell lung cancer. Clin Cancer Res 2019; 25: 1248–1260.
    1. Pudelko L, Jaehrling F, Reusch C, et al.. SHP2 inhibition influences therapeutic response to tepotinib tumors with MET alterations. iScience 2020; 23: 101832.

Source: PubMed

3
Subscribe