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EGFR-mutant lung adenocarcinoma harboring co-mutational tumor suppressor genes predicts poor prognosis

  • Original Article – Cancer Research
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Abstract

Introduction

EGFR mutations occur most frequently in patients with lung adenocarcinoma in East Asia. However, the prognostic and therapeutic impact of co-mutational status of EGFR and tumor suppressor genes is not fully understood. This study aims to provide a deeper understanding of lung adenocarcinoma patients with co-mutation of EGFR and tumor suppressor genes.

Methods

From November 2009 to May 2016, 675 patients with lung adenocarcinoma who underwent complete surgery were included in this study. Samples were collected and pathologically examined. Whole-exome sequencing was performed on 197 samples, while direct sequencing of major driver genes, including EGFR, KRAS, ERBB2 and BRAF and Ion-torrent targeted sequencing of tumor suppressor genes, including TP53, KEAP1, MGA, NF1, RB1, SMARCA4 and STK11, were performed on 478 samples. Tumor mutational burden was calculated and survival analyses were performed.

Results

The frequency of EGFR and TP53 mutation was 409 (60.6%) and 215 (31.9%), respectively. Co-mutation of EGFR and TP53 occured in 151 patients (22.4%), while co-mutation of EGFR and at least one tumor suppressor gene occured in 184 patients (27.3%). Compared with patients with only EGFR mutations, patients with co-mutations of EGFR and TP53 had a higher tumor mutational burden (p = 0.007) and worse recurrence-free survival (p = 0.010), while patients with co-mutations of EGFR and at least one tumor suppressor gene had a higher tumor mutational burden (p = 0.007), worse recurrence-free survival (p = 0.016) and worse overall survival (p = 0.018).

Conclusions

Lung adenocarcinoma patients harboring EGFR and co-mutational tumor suppressor genes should be regarded as a unique subgroup.

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References

  • Arbour KC, Jordan E, Kim HR et al (2018) Effects of co-occurring genomic alterations on outcomes in patients with KRAS-mutant non-small cell lung cancer. Clin Cancer Res 24(2):334–340

    Article  CAS  Google Scholar 

  • Borghaei H, Paz-Ares L, Horn L et al (2015) Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer. N Engl J Med 373:1627–1639

    Article  CAS  Google Scholar 

  • Brahmer J, Reckamp KL, Baas P et al (2015) Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. N Engl J Med 373:123–135

    Article  CAS  Google Scholar 

  • Campbell JD, Alexandrov A, Kim J et al (2016) Distinct patterns of somatic genome alterations in lung adenocarcinomas and squamous cell carcinomas. Nat Genet 48(6):607–616

    Article  CAS  Google Scholar 

  • Cancer Genome Atlas Research Network (2012) Comprehensive genomic characterization of squamous cell lung cancers. Nature 489(7417):519–525

    Article  Google Scholar 

  • Cancer Genome Atlas Research Network (2014) Comprehensive molecular profiling of lung adenocarcinoma. Nature 511:543–550

    Article  Google Scholar 

  • Christopoulos P, Kirchner M, Bozorgmehr F et al (2019) Identification of a highly lethal V3+ TP53+ subset in ALK+ lung adenocarcinoma. Int J Cancer 144(1):190–199

    Article  CAS  Google Scholar 

  • Cibulskis K, Lawrence MS, Carter SL et al (2013) Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples. Nat Biotechnol 31(3):213–219

    Article  CAS  Google Scholar 

  • DePristo MA, Banks E, Poplin R et al (2011) A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43(5):491–498

    Article  CAS  Google Scholar 

  • Dong ZY, Zhong WZ, Zhang XC et al (2017) Potential predictive value of TP53 and KRAS mutation status for response to PD-1 blockade immunotherapy in lung adenocarcinoma. Clin Cancer Res 23(12):3012–3024

    Article  CAS  Google Scholar 

  • Fehrenbacher L, Spira A, Ballinger M et al (2016) Atezolizumab versus docetaxel for patients with previously treated non-small-cell lung cancer (POPLAR): a multicenter, open-label, phase 2 randomised controlled trial. Lancet 378:1837–1846

    Article  Google Scholar 

  • Garon EB, Rizvi NA, Hui R et al (2015) Pembrolizumab for the treatment of non-small-cell lung cancer. N Engl J Med 372:2018–2028

    Article  Google Scholar 

  • Hellmann MD, Ciuleanu TE, Pluzanski A et al (2018) Nivolumab plus ipilimumab in lung cancer with a high tumor mutational burden. N Engl J Med 378:2093–2104

    Article  CAS  Google Scholar 

  • Hellyer JA, Stehr H, Das M et al (2019) Impact of KEAP1/NFE2L2/CUL3 mutations on duration of response to EGFR tyrosine kinase inhibitors in EGFR mutated non-small cell lung cancer. Lung Cancer 134:42–45

    Article  Google Scholar 

  • Izar B, Sequist L, Lee M et al (2013) The impact of EGFR mutation status on outcomes in patients with resected stage I non-small cell lung cancers. Ann Thorac Surg 96(3):962–968

    Article  Google Scholar 

  • Janne PA, Yang JC, Kim DW et al (2015) AZD9291 in EGFR inhibitor-resistant non-small-cell lung cancer. N Engl J Med 372:1689–1699

    Article  Google Scholar 

  • Jorge SE, Lucena-Araujo AR, Yasuda H et al (2018) EGFR Exon 20 insertion mutations display sensitivity to Hsp90 inhibition in preclinical models and lung adenocarcinomas. Clin Cancer Res 24:6548–6555

    Article  Google Scholar 

  • Kohno T, Ichikawa H, Totoki Y et al (2012) KIF5B-RET fusions in lung adenocarcinoma. Nat Med 18:375–377

    Article  CAS  Google Scholar 

  • La Fleur L, Falk-Sorqvist E, Smeds P et al (2019) Mutation patterns in a population-based non-small cell lung cancer cohort and prognostic impact of concomitant mutations in KRAS and TP53 or STK11. Lung Cancer 130:50–58

    Article  Google Scholar 

  • Lee CK, Wu YL, Ding PN et al (2015) Impact of specific epidermal growth factor receptor (EGFR) mutations and clinical characteristics on outcomes after treatment with EGFR tyrosine kinase inhibitors versus chemotherapy in EGFR-mutant lung cancer: a meta-analysis. J Clin Oncol 33:1958–1965

    Article  CAS  Google Scholar 

  • Li H (2013) Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. arXiv:1303.3997v2

  • Lynch TJ, Bell DW, Sordella R et al (2004) Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med 350:2129–2139

    Article  CAS  Google Scholar 

  • Ma X, Le Teuff G, Lacas B et al (2016) Prognostic and predictive effect of TP53 mutations in patients with non-small cell lung cancer from adjuvant cisplatin-based therapy randomized trials: a LACE-Bio pooled analysis. J Thorac Oncol 11(6):850–861

    Article  Google Scholar 

  • Ramos AH, Lichtenstein L, Gupta M et al (2015) Oncotator: cancer variant annotation tool. Hum Mutat 36(4):E2423–2429

    Article  Google Scholar 

  • Reck M, Rodriguez-Abreu D, Robinson AG et al (2016) Pembrolizumab versus chemotherapy for PD-L1-positive non-small-cell lung cancer. N Engl J Med 375:1823–1833

    Article  CAS  Google Scholar 

  • Rittmeyer A, Barlesi F, Waterkamp D et al (2017) Atezolizumab versus docetaxel in patients with previously treated non-small-cell lung cancer (OAK): a phase 3, open-label, multicentre randomised controlled trial. Lancet 389:255–265

    Article  Google Scholar 

  • Rizvi NA, Hellmann MD, Snyder A et al (2015) Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science 348:124–128

    Article  CAS  Google Scholar 

  • Saunders CT, Wong WS, Swamy S et al (2012) Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs. Bioinformatics 28(14):1811–1817

    Article  CAS  Google Scholar 

  • Shepherd FA, Lacas B, Le Teuff G et al (2017) Pooled analysis of the prognostic and predictive effects of TP53 comutation status combined with KRAS or EGFR mutation in early-stage resected non-small-cell lung cancer in four trials of adjuvant chemotherapy. J Clin Oncol 35(18):2018–2027

    Article  CAS  Google Scholar 

  • Siegel RL, Miller KD, Jemal A (2019) Cancer statistics, 2019. CA Cancer J Clin 69:7–34

    Article  Google Scholar 

  • Travis WD, Brambilla E, Noguchi M et al (2011) International association for the study of lung cancer/American Thoracic Society/European respiratory society international multidisciplinary classification of lung adenocarcinoma. J Thorac Oncol 6(2):244–285

    Article  Google Scholar 

  • VanderLaan PA, Rangachari D, Mockus SM et al (2017) Mutations in TP53, PIK3CA, PTEN and other genes in EGFR mutated lung cancers: correlation with clinical outcomes. Lung Cancer 106:17–21

    Article  Google Scholar 

  • Vogelstein B, Lane D, Levine AJ (2000) Surfing the p53 network. Nature 408(6810):307–310

    Article  CAS  Google Scholar 

  • Wang R, Zhang Y, Pan Y et al (2015) Comprehensive investigation of oncogenic driver mutations in Chinese non-small cell lung cancer patients. Oncotarget 6:34300–34308

    Article  Google Scholar 

  • Wu K, Zhang X, Li F et al (2015) Frequent alterations in cytoskeleton remodelling genes in primary and metastatic lung adenocarcinomas. Nat Commun 6:10131

    Article  CAS  Google Scholar 

  • Yang JC, Sequist LV, Geater SL et al (2015) Clinical activity of afatinib in patients with advanced non-small-cell lung cancer harbouring uncommon EGFR mutations: a combined post-hoc analysis of LUX-Lung 2, LUX-Lung 3, and LUX-Lung 6. Lancet Oncol 16:830–838

    Article  CAS  Google Scholar 

  • Yasuda H, Kobayashi S, Costa DB (2012) EGFR exon 20 insertion mutations in non-small-cell lung cancer: preclinical data and clinical implications. Lancet Oncol 13:e23–31

    Article  CAS  Google Scholar 

  • Yasuda H, Park E, Yun CH et al (2013) Structural, biochemical, and clinical characterization of epidermal growth factor receptor (EGFR) exon 20 insertion mutations in lung cancer. Sci Transl Med 5:216ra177

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Natural Science Foundation of China (Grant numbers: 81572253 and 81930073); Shanghai Shen Kang Hospital Development Center City Hospital Emerging Cutting-edge Technology Joint Research Project (Grant number: SHDC12017102); Shanghai Municipal Health Commission Key Discipline Project (Grant numbers: 2017ZZ02025 and 2017ZZ01019).

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Correspondence to Haiquan Chen.

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These authors declare no conflicts of interest.

Ethical approval

This study was approved by the Committee for Ethical Review of Research (Fudan University Shanghai Cancer Center IRB# 090977-1).

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Supplementary file1 (DOCX 13 kb)

432_2020_3237_MOESM2_ESM.jpg

Supplementary figure 1. Pie charts showing the co-mutational composition of each driver gene with every tumor suppressor gene in lung adenocarcinoma. Composition of each driver gene is shown in patients with mutations in a) at least one tumor suppressor gene, b) TP53, c) MGA, d) NF1, e) RB1, f) SMARCA4, g) STK11 and h) KEAP1. (JPG 2108 kb)

Supplementary file3 (DOCX 12 kb)

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Zhao, Y., Pan, Y., Cheng, C. et al. EGFR-mutant lung adenocarcinoma harboring co-mutational tumor suppressor genes predicts poor prognosis. J Cancer Res Clin Oncol 146, 1781–1789 (2020). https://doi.org/10.1007/s00432-020-03237-3

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  • DOI: https://doi.org/10.1007/s00432-020-03237-3

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