The reality of complexity: concomitant genomic alterations in patients with EGFR mutations

The reality of complexity: concomitant genomic alterations in patients with EGFR mutations

Andrés F. Cardona1,2,3, Zyanya Lucia Zatarain-Barrón4, Leonardo Rojas1,2,5, Oscar Arrieta4

1Clinical and Translational Oncology Group, Clínica del Country, Bogotá, Colombia; 2Foundation for Clinical and Applied Cancer Research (FICMAC), Bogotá, Colombia; 3Clinical Research and Biology Systems Department, Universidad el Bosque, Bogotá, Colombia; 4Thoracic Oncology Unit and Laboratory of Personalized Medicine, Instituto Nacional de Cancerología (INCan), México City, Mexico; 5Oncology Department, Sanitas Foundation, Clinica Colsanitas, Bogotá, Colombia

Correspondence to: Andrés F. Cardona, MD, MSc, PhD. Clinical and Translational Oncology Group, Institute of Oncology, Clínica del Country, Bogotá, Colombia; Foundation for Clinical and Applied Cancer Research (FICMAC), Calle 116 No. 9–72, c. 318, Bogotá, Colombia. Email:;

Provenance: This is an invited Editorial commissioned by the Section Editor Dr. Chunlin Ou (Cancer Research Institute of Central South University, Changsha, China).

Comment on: Blakely CM, Watkins TBK, Wu W, et al. Evolution and clinical impact of co-occurring genetic alterations in advanced-stage EGFR-mutant lung cancers. Nat Genet 2017;49:1693-704.

Submitted Dec 06, 2017. Accepted for publication Dec 26, 2017.

doi: 10.21037/jtd.2017.12.136

The advent of next-generation sequencing in the past years has allowed us to unearth a mass amount of information regarding diverse pathologies. Among these, the sequencing of cancer genomes has identified a number of oncogenic alterations which could strongly impact our understanding of tumor biology as well as our current treatment modalities. However, even with the growing availability of this technology most sequencing studies are often performed in patients with early-stage tumors, in spite that it is the patients with advanced tumors who are generally treated with targeted therapies. Lung cancer remains the main cause of cancer-related deaths worldwide (1), and patients diagnosed with advanced lung cancer may have multiple and sometimes rare genetic alterations (2); currently there is little information regarding the effects of co-occurring genetic alterations. Previously, others (3-5) have explored the role of the non-disruptive p53 mutations in EGFR mutated lung adenocarcinoma patients finding a prevalence close to 30–50% with negative impact on the prognosis, especially in those with exon 19 deletions. Similarly, Hu et al. evaluated the presence of mutations in KRAS, NRAS, PIK3CA, BRAF, and HER2 and ALK, ROS1, and RET fusion genes in 320 patients who harbored EGFR activating mutations and received EGFR-tyrosine kinase inhibitor (TKIs) treatment (6). Twenty-one (6.6%) of the EGFR mutant samples had additional gene alterations, being the most common those found in PIK3CA, followed by EML4-ALK rearrangement, HER2 mutations, RET rearrangement, ROS1 rearrangement and KRAS mutations. Those with a single EGFR mutation had a significantly longer progression-free survival (PFS) compared to those with concurrent gene alterations, however, this condition did not have a significant impact in the OS.

Overcoming tumor heterogeneity is a major challenge for the personalized treatment of cancer. Although intratumoural heterogeneity has been well described in a variety of cancer types (7,8), including non-small cell lung cancer (NSCLC) (9), the degree to which tumor heterogeneity currently influences treatment decisions in the clinic remains limited. Despite some evidence that multiple resistant subclones can arise following treatment of NSCLC patients with EGFR-targeted therapies (10-12), the fraction of patients who develop multiple resistance mechanisms has not been systematically evaluated. This is largely because almost all the studies performed to date have relied on tissue biopsies that are limited by the presence of geographic heterogeneity. Analysis of ctDNA has advantages over traditional biopsies in that the procedure is minimally invasive, can detect contributions from multiple tumor deposits, and can easily be repeated over time, allowing a more comprehensive analysis of tumor heterogeneity (13). In addition, we are now aware of the performance of liquid biopsies to characterize the presence of mutations in EGFR, knowing that ctDNA provides high specificity, but nonetheless acknowledging that patients with negative results by this method should decidedly undergo further biopsies to ascertain to comprehensive mutational analysis (14).

To determine if co-occurring alterations cooperate with the primary tumor driver to promote tumor progression and response to therapy, Blakely et al. (15) sequenced cell-free DNA (cfDNA) from 1,122 patients with EGFR-mutant advanced NSCLC and 1,008 patients with EGFR mutation-negative advanced NSCLC. The EGFR-mutant patient cohort had widespread occurrence of additional genetic alterations (92.9 percent had at least one other cancer-related variant) including mutations in PIK3CA, BRAF, MET, MYC, CDK6, and CTNNB1. Further, the EGFR-mutant samples had an enrichment of certain genetic events, including co-alterations in CTNNB1, CDK6, or AR, compared with the EGFR mutant-negative samples. Patients with the EGFR p.Thr790Met mutation, which confers resistance to some EGFR TKIs, had enrichment of a number of co-occurring alterations including CDK6, CTNNB1, AR, MYC, KRAS, and PDGFRA. Longitudinal data were available for 97 patients with EGFR-mutant tumors, and analysis of these samples revealed acquisition of the EGFR p.Thr790Met mutation upon resistance to first-generation EGFR TKIs, and co-alterations in CCNE1, NF1, and PIK3CA after progression to second-line therapy. EGFR TKI responders had fewer cfDNA mutations than non-responders. Co-occurring mutations associated with primary resistance to the third-generation EGFR-TKI osimertinib were also observed. Collectively, these findings reveal that co-occurring genetic alterations are linked to therapeutic response and resistance in EGFR-mutant lung cancer and demonstrate that more detailed genomic information is required to understand tumor heterogeneity beyond a single driving oncogene. Another such example of the complexity regarding tumor biology and treatment outcomes was seen in the recent study by Campos-Parra et al., which showed that KRAS mutation status is a good biomarker for response to therapy with EGFR-TKIs, highlighting the complexity of the pathways which might be necessary to overcome for a successful therapy (16).

In perspective, for us as clinicians and researchers it is remarkable to discover that half the patients had mutations in the TP53 gene while alterations in the CTNNB1, CDK6, and AR genes were also enriched among those patients. At the pathway level, alterations affecting WNT/CTNNB1 and hormone signaling protein pathways were enriched among patients with EGFR-mutant tumors. Additionally, Blakely et al. noted that alterations in genes involved in cell division, epigenetic modifications, DNA repair, and cellular signaling pathways were also affected in 10% to 25% of tumors. For 97 of the patients in the study, the researchers also had clinical and treatment response data. This subset included patients who were TKI treatment-naïve as well as those who showed progression on first-line inhibitors or on second-line compounds. The researchers noted that, with each line of therapy, the number of somatic mutations in the patients’ samples increased. In the same way, patients who progressed after receiving second-line TKIs tended to have an increased number of co-mutations in CCNE1, NF1, and PIK3CA, and increased alterations in receptor tyrosine kinase, MAPK, and cell-cycle pathways. Additionally, the researchers noted that alterations within the cell-cycle and MAPK pathways were markers of shorter PFS during EGFR-TKI treatment, and patients with CDK4 or CDK6 alterations had lower overall survival than those without these alterations. Blakely and his colleagues also analyzed tumor exome and cfDNA samples that had been collected from an NSCLC patient over the course of 6 years. Within this patient, they uncovered multiple co-alterations that cropped up early on. For instance, early-stage disease samples harbored alterations in CTNNB1, SMAD4, and CDKN2A, while mutations arose in PRKCA and PIK3CA, among others, after metastasis. Progression on TKI then occurred following acquisition of the EGFR p.Thr790Met mutation.

This data confirms the value of serial genomic profiling to detect resistance mutations as early as 16 weeks before radiographic progression (17). There is a potential for important monetary savings when ineffective use of expensive new anticancer drugs is avoided or halted. Challenges for routine implementation of liquid biopsy tests include the necessity of specialized personnel, instrumentation, and software, as well as further development of quality management (external quality control). Validation of blood-based tumor genomic profiling in additional multicenter outcome studies is necessary; however, in the near future cfDNA monitoring will provide clinically important actionable information for precision oncology approaches. For the moment, the question remains the reality of complexity. What is the next step? What is the predictive role of the concurring mutations in patients with EGFR alterations? Are we facing a new era that includes diverse multidrug combinations? Only time will tell us the complexity of reality.


The authors would like to acknowledge all participating members of the CLICaP (Latin-American Consortium for the Investigation of Lung Cancer) for their enthusiastic labor advancing lung cancer research.


Conflicts of Interest: The authors have no conflicts of interest to declare.


  1. Arrieta O, Guzmán-de Alba E, Alba-López LF, et al. National consensus of diagnosis and treatment of non-small cell lung cancer. Rev Invest Clin 2013;65 Suppl 1:S5-84. [PubMed]
  2. Arrieta O, Cardona AF, Corrales L, et al. The impact of common and rare EGFR mutations in response to EGFR tyrosine kinase inhibitors and platinum-based chemotherapy in patients with non-small cell lung cancer. Lung Cancer 2015;87:169-75. [Crossref] [PubMed]
  3. Molina-Vila MA, Bertran-Alamillo J, Gascó A, et al. Nondisruptive p53 mutations are associated with shorter survival in patients with advanced non-small cell lung cancer. Clin Cancer Res 2014;20:4647-59. [Crossref] [PubMed]
  4. Canale M, Petracci E, Delmonte A, et al. Impact of TP53 Mutations on Outcome in EGFR-Mutated Patients Treated with First-Line Tyrosine Kinase Inhibitors. Clin Cancer Res 2017;23:2195-202. [Crossref] [PubMed]
  5. VanderLaan PA, Rangachari D, Mockus SM, et al. Mutations in TP53, PIK3CA, PTEN and other genes in EGFR mutated lung cancers: Correlation with clinical outcomes. Lung Cancer 2017;106:17-21. [Crossref] [PubMed]
  6. Hu W, Liu Y, Chen J, et al. Concurrent gene alterations with EGFR mutation and treatment efficacy of EGFR-TKIs in Chinese patients with non-small cell lung cancer. Oncotarget 2017;8:25046-54. [PubMed]
  7. Gerlinger M, Rowan AJ, Horswell S, et al. Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 2012;366:883-92. [Crossref] [PubMed]
  8. Lawrence MS, Stojanov P, Polak P, et al. Mutational heterogeneity in cancer and the search for new cancer-associated genes. Nature 2013;499:214-8. [Crossref] [PubMed]
  9. de Bruin EC, McGranahan N, Mitter R, et al. Spatial and temporal diversity in genomic instability processes defines lung cancer evolution. Science 2014;346:251-6. [Crossref] [PubMed]
  10. Sequist LV, Waltman BA, Dias-Santagata D, et al. Genotypic and histological evolution of lung cancers acquiring resistance to EGFR inhibitors. Sci Transl Med 2011;3:75ra26. [Crossref] [PubMed]
  11. Yu HA, Arcila ME, Rekhtman N, et al. Analysis of tumor specimens at the time of acquired resistance to EGFR-TKI therapy in 155 patients with EGFR-mutant lung cancers. Clin Cancer Res 2013;19:2240-7. [Crossref] [PubMed]
  12. Ohashi K, Sequist LV, Arcila ME, et al. Lung cancers with acquired resistance to EGFR inhibitors occasionally harbor BRAF gene mutations but lack mutations in KRAS, NRAS, or MEK1. Proc Natl Acad Sci U S A 2012;109:E2127-33. [Crossref] [PubMed]
  13. Crowley E, Di Nicolantonio F, Loupakis F, et al. Liquid biopsy: monitoring cancer-genetics in the blood. Nat Rev Clin Oncol 2013;10:472-84. [Crossref] [PubMed]
  14. Normanno N, Denis MG, Thress KS, et al. Guide to detecting epidermal growth factor receptor (EGFR) mutations in ctDNA of patients with advanced non-small-cell lung cancer. Oncotarget 2017;8:12501-16. [Crossref] [PubMed]
  15. Blakely CM, Watkins TBK, Wu W, et al. Evolution and clinical impact of co-occurring genetic alterations in advanced-stage EGFR-mutant lung cancers. Nat Genet 2017;49:1693-704. [Crossref] [PubMed]
  16. Campos-Parra AD, Zuloaga C, Manríquez ME, et al. KRAS mutation as the biomarker of response to chemotherapy and EGFR-TKIs in patients with advanced non-small cell lung cancer: clues for its potential use in second-line therapy decision making. Am J Clin Oncol 2015;38:33-40. [Crossref] [PubMed]
  17. Oellerich M, Schütz E, Beck J, et al. Using circulating cell-free DNA to monitor personalized cancer therapy. Crit Rev Clin Lab Sci 2017;54:205-18. [Crossref] [PubMed]
Cite this article as: Cardona AF, Zatarain-Barrón ZL, Rojas L, Arrieta O. The reality of complexity: concomitant genomic alterations in patients with EGFR mutations. J Thorac Dis 2018;10(2):597-599. doi: 10.21037/jtd.2017.12.136