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Balkan Journal of Medical Genetics : BJMG logoLink to Balkan Journal of Medical Genetics : BJMG
. 2019 Dec 21;22(2):17–24. doi: 10.2478/bjmg-2019-0016

Results of Liquid Biopsy Studies by Next Generation Sequencing in Patients with Advanced Stage Non-small Cell Lung Cancer: Single Center Experience from Turkey

M Buyuksimsek 1,*, M Togun 2, Kara I Oguz 1, A Bisgin 3,4, I Boga 4, M Tohumcuoglu 1, A Ogul 1, Yetisir A Evren 1, B Sahin 1, HE Sumbul 5, C Mirili 6
PMCID: PMC6956641  PMID: 31942412

Abstract

Several studies demonstrated the utility of plasma-based cell-free circulating tumor DNA (ccfDNA) in determination of mutations in non-small cell lung cancer (NSCLC). We aimed to report our results of next generation sequencing (NGS) using liquid biopsy in patients with NSCLC. Patients with advanced stage NSCLC were enrolled and their genomic profiling results were recorded. Next generation sequencing targeted panel includes 19 hot-spot genes. The plasma was separated from the peripheral blood sample and ccfDNAs were isolated for NGS. We performed genomic profiling in 100 patients (20 females and 80 males) with a median age of 59.3 (range 26-79). A second liquid biopsy was performed in eight patients who developed progressive disease after the first treatment. The study population had adenocarcinoma (AC) (n = 73), squamous cell carcinoma (SCC) (n = 14), or NSCLC-NOS (not otherwise specified) (n = 13). In the SCC group, three of 14 patients had variants on EGFR and MET genes. In the AC and NSCLC-NOS groups, 39 out of 86 patients (45.3%) had variants. The most common one was in the EGFR gene (n = 27, 31.4%) including seven mutations related to drug resistance and two were polymorphisms. Three patients had both driver and resistance mutations (EGFR T790M, n = 2; KRAS exon 2 G12S and MET exon 14 E1012K, n = 1). Fifteen patients (17.4%) had an activating EGFR mutation and eight patients (9.3%) had variants in the KRAS gene. We reported our results regarding genomic profiling related to treatment using liquid biopsy in patients with NSCLC. Advantages of this method are the non invasiveness and reproducibility.

Keywords: Liquid biopsy, New generation sequencing (NGS), Non-small cell lung cancer (NSCLC)

Introduction

Non-small cell lung cancer (NSCLC) is an important cause of morbidity and mortality worldwide. Many patients with NSCLS are diagnosed at advanced stages and treated with targeted therapy and immunotherapy in addition to systemic chemotherapy [1]. The College of American Pathologists (CAP), International Association for the Study of Lung Cancer (IASLC) and Association for Molecular Pathology (AMP) recommended that EGFR, ALK, and ROS1 were necessary tests in advanced stage NSCLC patients whose tumors contain an element of adenocarcinoma (AC) in their 2018 updated testing guideline. Moreover, the results of the recent clinical data indicate those panels including BRAF, MET, RET, ERBB2 and KRAS, should be used at a minimum [2]. Cell-free circulating tumor DNA (ccfDNA), which is released from the tumor into the systemic circulation, is used in the liquid biopsy [3].

Thompson et al. [4] and Schwaederlé et al. [5] demonstrated that next generation sequencing (NGS) of plasma-based ccfDNA can be used to assess mutations in NSCLC. Several recent retrospective and prospective studies also used plasma samples to decide targeted treatments [6,7]. The NGS used for the analysis of ccfDNA involves reading of the DNA strand 10,000-times using deep sequencing and allows determination of the type and frequency of a given mutation by bioinformatic analyses. It is possible to identify single base mutations, short insertions and deletions, wide genomic deletions, or rearrangements such as inversion and translocation (by amplifications) using NGS [8]. In the present study, we aimed to present our NGS results of liquid biopsy samples that is increasingly used in clinical practice for NSCLC that comprises several genetic alterations guiding therapeutic opportunities.

Materials and Methods

Patient Selection. A prospective review of 100 patients in Adana, Turkey with a diagnosis of advanced/ metastatic NSCLC, whose physician requested clinical ccfDNA based genomic profiling from January 2017 to January 2019, were performed. All patients included in the analysis had metastatic or inoperable disease. A second liquid biopsy was performed in eight patients who developed progressive disease after the first treatment. All patients provided their written consent to the genomic profiling.

Targeted Multi-Gene Panel Testing. Customized targeted multiple gene panel consisting of 19 genes (AKT1, ALK, BRAF, DDR, ERBB2, ESR1, KIT, KRAS, MAP2K1, NRAS, NTRK, PDGFRA, PIK3CA, PTEN, ROS1, RICTOR, EGFR, MET, FGFR1 gene mutations, and RICTOR, EGFR, MET, FGFR1, ERBB2 gene amplifications) was used for NGS. The ccfDNA was extracted from whole peripheral blood collected in 10 mL PaxGene (PreAnalytiX GmbH, Hombrechtikon, Switzerland) biological sample tubes. The results of NGS were obtained after the following steps: separation of plasma from the samples, isolation of ccfDNA from the plasma, target region enrichment in an appropriate quality and quantity, library preparation, clonal amplification and NGS steps. Afterwards, bioinformatic analyses were performed to determine the quality and variant analysis according to the clinical information of the patients to interpret the variants. All the workflow was carried out at Çukurova University AGEN TEM (Adana Genetic Diseases Diagnosis and Treatment Center), Adana, Turkey via the GeneReader NGS system (Qiagen GmbH, Hilden, Germany).

The isolation of ccfDNA was performed using the circulating cfDNA isolation Kit (QIAamp circulating nucleic acid kit; Qiagen GmbH) with the help of a vacuum system (QIAvac 24 Plus; Qiagen GmbH). The ccfDNA concentrations were determined using fluorometric DNA quantitation device (Qubit 3.0, Thermo Fisher Scientific, Waltham, MA, USA). The samples with adequate DNA concentrations were used for further laboratory workflow. The target enrichment of the region of interest was amplified by PCR (polymerase chain reaction). The bar coding and library preparation step was then performed. Thereafter, the samples were loaded into flowcells to be sequenced in the GeneReader NGS system (Qiagen GmbH).

Bioinformatic Analysis and Interpretation. The most complicated and difficult step is the accurate analysis of the large data from the sequenced NGS samples by an experienced medical geneticist and the team. The data with appropriate quality were selected before the data analysis. The selected data were compared with the reference genome data. The Human Genome Mutation Database (HGMD) (http://www.hgmd.cf.ac.uk/ac/index.php0 , Catalogue of Somatic Mutations in Cancer (COSMIC) (https://cancersanger.ac.uk/cosmic. ), 1000 Genome Frequency and Ingenuity Knowledge Base databases (https://www.internationalgenome.org/1000-genomes-browsers) , and SIFT, BSIFT (https://sift.bii.a-star.edu.sg/) , PolyPhen-2 (http://genetics.bwh.harvard.edu/pph2/dbsearch.shtml) and Clin Var (https://www.ncbi.nlm.nih.gov/clinvar/) in silico analysis were used for variant analysis. Then, selected variants were analyzed using bioinformatics tools to classify and evaluate them according to their clinical impacts, for potential influence on the treatment strategies, and to confirm the clinical diagnosis. The low quality variants were also assessed for the samples’ status and clinical status of the patient. All the variants were evaluated in two steps: the first one was for its quality and possible effects independent of clinical diagnosis and mostly on the basis of quality control parameters such as for ward/reverse read balance and coverage. The second evaluation was performed for clinical diagnosis and possible effect on the sensitivity and/or the resistance to the treatment protocols.

Results

A total of 100 patients (20 females and 80 males) with NSCLC who were admitted to our clinic underwent targeted NGS from the liquid biopsy samples. All of the patients were of Turkish ethnic origin. The median age of the patients was 59.3 (range 26-79). While eight of the patients had a repeated genetic testing after treatment, other patients had only one test result. The histological diagnoses were made by the pathologists of our clinic. Seventy-three patients had AC, 14 had squamous cell carcinoma (SCC), and 13 had NSCLC-NOS (not otherwise specified). The study patients were grouped according to their histological lung cancer (LC) types as classified by the National Comprehensive Cancer Network (NCCN) in their targeted treatment recommendations. The demographic data and histologic LC types of the patients are listed in Table 1.

Table 1.

General demographics and histology.

General Demographics n Histology n
Patients 100 SCC 14
Median age (range) 59.3 (26-79) AC 73
Males/Females 80/20 NSCLC-NOS 13

SCC: squamous cell carcinoma; AC: adenocarcinoma;

NSCLC-NOS: non-small cell lung cancer-not otherwise specified.

The Potential Targetable Variants in the SCC Group. Three of the 14 patients had variants: one patient had EGFR gene exon 21 driver and exon 20 resistance mutations together and the other two patients had a mutation in the MET gene exon 14 (Table 2).

Table 2.

Targetable mutations in squamous cell carcinoma patients.

n Activating Mutation(s) Resistance Mutation
24 MET exon 14 I491T
29 MET exon 14 V1014V
56 EGFR exon 21 L858R EGFR exon 20 T790M

The Potential Targetable Variants in the AC And NSCLC-NOS Groups. Thirty-nine of the 86 patients (45.3%) had at least one variant of the targeted multi-gene panel. Twenty-seven (31.4%) of the 86 patients had a variant in the EGFR gene, while seven had a resistance related mutation, two had a polymorphism, and three had both driver and resistance related variants (EGFR T790M, n = 2; KRAS exon 2 G12S and MET exon 14 E1012K, n = 1).

Fifteen patients (17.4%) had an activating EGFR mutation (Table 3). Eight patients (9.3%) had a KRAS gene variant. One patient had an isolated ALK mutation and another one had an ERBB2 and EGFR gene variant in addition to an ALK mutation. While one patient had an isolated MET amplification, two patients had a concomitant EGFR resistance related variant. While two patients had an isolated ERBB2 gene variant, another two had EGFR variants and ALK mutation in addition to the ERBB2 variant. One patient had variants in both PDGFRA and KIT genes. Another one had an isolated BRAF variant (Table 4). In the patients who experienced progressive disease after treatment, eight of them underwent a second liquid biopsy sampling after a median duration of 6 months (range 3-12) following the first one. In the second term of sequencing, a new onset EGFR T790M mutation, elimination of the target mutation, and a new onset of BRAF variant were detected. The characteristics and treatment protocols of these eight patients are summarized in Table 5.

Table 3.

Detailed Molecular Findings of Adenocarcinoma and NSLC-NOS patients with detectable EGFR mutations

Patient Number Activating Mutation(s) Resistance Mutation(s) Polymorphism
2 EGFR Exon 19 A750P,
EGFR Exon 19 L747_E749 del
4 EGFR Exon 19
6 EGFR Exon 21 L858R EGFR Exon 20 T790M
7 EGFR Exon 20 C797S
EGFR Exon 21 L858R
EGFR Exon 20 T790M
10 EGFR Exon 18 G721V
12 EGFR Exon 20 S768I
EGFR Exon 21 L858R
15 EGFR Exon 21 L858R
33 KRAS Exon 2 G12C EGFR Exon 13 R521K
38 EGFR Exon 19 E746_A750del
39 EGFR Exon 18 G721S
40 EGFR Exon 20 S784T
41 EGFR Exon 19 P753P
48 EGFR Exon 19 T751_E758del
50 EGFR Exon 19 L747_P753delinsS
53 EGFR Exon 20 A767_V469 duplication
ERBB2 amplification
55 EGFR Exon 19 E746_A750del
57 EGFR Exon 19 E746_T751delinsA
63 EGFR Exon 20 T790M
EGFR Exon 20 C797S
69 EGFR Exon 18 I706S
73 EGFR Exon 20 H773fs *53,
Met amplification
78 EGFR Exon 20 K806I,
Met Exon 14 R988H,
Met Exon 14 Y989C
80 KRAS Exon 2 G12C EGFR Exon 13 R521K
81 EGFR Exon 20 D807fs *90
84 EGFR Exon 20 V786L
85 EGFR Exon 21 A864T
86 EGFR Exon 19 L747_T751del KRAS Exon 2 G12S,
Met Exon 14 E1012K
88 EGFR Exon 19 E746_A750delELRE A,
EGFR Amplification

Table 4.

Detailed molecular findings of adenocarcinoma and non-small cell lung cancer-not otherwise specified patients other than EGFR mutations.

# Activating Mutation(s) Resistance Mutation(s) Polymorphism
5 KRAS exon 2 G12C
33 KRAS exon 2 G12C EGFR exon 13 R521K
37 KRAS exon 2 G12V
49 KRAS exon 2 G12V (c.35G>T)
80 KRAS exon 2 G12C EGFR exon 13 R521K
86 EGFR exon 19 L747_T751del;
MET exon 14 E1012K
KRAS exon 2 G12S
87 KRAS exon 2 G12D
90 KRAS intron 2
14 MET amplification
73 EGFR exon 20 H773fs*53;
MET amplification
78 EGFR exon 20 K806I;
MET exon 14 R988H;
MET exon 14 Y989C
44 ALK exon 29 K1491R ERBB2 exon 17 I655V EGFR exon 13 R521K
95 ALK exon 22 C1156S
31 ERBB2 amplification
53 EGFR exon 20 A767_V469dup;
ERBB2 amplification
79 ERBB2 exon 17 I655V
58 PDGFRA c.236G>A (G79D);
KIT c.2362-77G>A
18 BRAF exon 11 G469E

Table 5.

Second liquid biopsy results in adenocarcinoma and non-small cell lung cancer-not otherwise specified patients.

# First Liquid Biopsy Second Liquid Biopsy Prior Treatment
2 EGFR exon 19 A750P;
EGFR exon 19 L747_E749del
no variant detected erlotinib
10 EGFR exon 18 G721V no variant detected paclitaxel + carboplatin
13 no variant detected no variant detected paclitaxel + carboplatin
15 EGFR exon 21 L858R BRAF exon 15 R603* erlotinib
31 ERBB2 amplification no variant detected paclitaxel + carboplatin
38 EGFR exon 19 E746_A750del no variant detected erlotinib
55 EGFR exon 19 E746_A750del EGFR exon 19 E746_A750del;
EGFR exon 20 T790M
erlotinib
95 ALK exon 22 C1156S no variant detected crizotinib

Discussion

The treatment of NSCLC has become more successful and individualized using targeted protocols according to molecular subtypes. The earlier attempts with targeted treatments involved unselected patients and did not result in as good outcomes as anticipated. Regarding treatment with the epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in unselected patients, while erlotinib increased median survival by 2 months in previously treated NSCLC patients [9], gefitinib did not improve survival in a similar population [10].

However, targeted treatment in patients selected according to molecular analyses resulted in unprecedented outcomes. For instance, a prospective study in patients with EGFR mutant LC, the response rate to targeted treatment was over 60.0% [11]. Crizotinib resulted in a similar success rate in LC patients with ALK rearrangements [12]. First line treatment with dabrafenib/trametinib in NSCLC patients carrying BRAF V600E mutations (seen in 2.0% of patients with NSCLC) resulted in a response rate of 64.0% and 10 months of progression-free survival [13]. The identification of the even rarer variants such as MET gene amplification and ERBB2 mutations led to the discovery of new treatment pathways. In 2014, the NCCN recommended utilization of wider panels including BRAF, ERBB2 (HER2), MET, RET and ROS1 in addition to EGFR and ALK. The reason for their recommendation to widen the mutation panel was the ever-increasing success with novel treatments targeted to oncogenic driver mutations in comparison to cytotoxic and immune checkpoint inhibitor therapies.

These tests were performed step by step, therefore large tissue samples were inevitably needed [14]. Various clinical studies indicate that attainment of ccfDNA is an appropriate means of detecting mutations [15,16]. Recently, the advantages of plasma-based liquid biopsy such as accessibility, practical use and reproducibility, rendered it a good choice in patients with NSCLC. Tissue biopsies usually bear the difficulty of access and may provide insufficient samples for genetic testing due to the tumor heterogeneity. Furthermore, the need for a repeat biopsy after lack of response to treatment may be a cause of significant morbidity. The ASSESS study reported a high degree of concordance between plasma-based ccfDNA and tissue or cytology samples in NSCLC [17].

We aimed to report our NGS results using liquid biopsy samples in patients with metastatic NSCLC. The most common mutation was regarding the EGFR gene. Some of the patients had concomitant driver and resistance mutations. The second most commonly detected gene was KRAS. While the frequency of EGFR mutation in AC in the western populations was 19.2%; it was seen in 47.9% of Asian patients. The rates of KRAS mutations was 26.1% in the western and 11.2% in Asian populations [18]. Turkey lies between the western populations and Asia, and the frequencies of EGFR and KRAS mutations in the present study were 31.4% (17.4% activating) and 9.3%, respectively. The other targets of individualized treatment protocols include EML4-ALK fusion and variants of MET, ERBB2, BRAF, PDGFRA and KIT. The most common variants detected in patients with AC were in EGFR and KRAS genes. The two most commonly detected variants were also seen in patients with SCC in a diverse frequency according to their ethnic origin [19]. In the present study, EGFR and MET variants were also observed in patients with SCC. The activation of the MET signaling pathway is suggested to cause resistance to EGFR-TKI treatment. Crizotinib may provide successful outcomes in patients with MET overexpression [20]. Therefore, target mutations should be sought using liquid biopsy in patients with SCC. Despite the dramatic response to molecular targeted treatments, nearly every medication is associated with development of resistance. It is also important to understand the molecular pathways of NSCLC in order to understand mechanisms of resistance to medications [21].The understanding of resistance mechanisms against targeted treatments led to the development of second line treatment options specific to EGFR and ALK mutations. Moreover, the growing need for repeat biopsies in patients with LC is associated with a substantial morbidity risk. Furthermore, the paucity of centers for transthoracic biopsies in many healthcare systems cause a logistics problem. Therefore, the opportunity of following up patients with LC using blood-based tests is an important topic of interest in the technologically developing world [22,23].While the most common mechanism of resistance against first and second line EGFR-TKIs is the EGFR T790M mutation, MET and ERBB2 amplification is responsible for a smaller proportion of resistance [24]. In the present study, we also aimed to investigate the causes of resistance in the eight patients with progressive disease after the first treatment, and found the following causes: new onset EGFR T790M mutation, erased target mutation and a new onset BRAF gene variant. The present study has some strong points as well as limitations. New onset variants that are potential targets of alternative treatment options and the disappearance of the previous mutations showed the necessity of repeated liquid biopsy studies. Liquid biopsy has a strong advantage in NSCLC because of the difficulties of repeated interventional procedures and accessibility problems. To the best of our knowledge, this study is the first to report on the real-world use of a comprehensive ccfDNA with clinical follow-ups and NGS platforms in the molecular diagnosis of patients with NSCLC in a Turkish population. The main limitation of working with the circulating tumor cell as a liquid biopsy source is the fact that the sample obtained in patients with early stage cancer may not contain sufficient amounts of tumor-derived material and sometimes information from tumor tissue may be difficult to separate information from intact cells [25]. An example of this is PDGFRA c.236G>A (G79D), KIT c.2362-77G>A variants, which are not compatible with the diagnosis and clinical feature of a patient and was evaluated as a polymorphism. The second liquid biopsy sampling was performed only in a small number of cases and this was the other limitation of this study.

Conclusions

In the present study we reported the results of targeted multigene panel NGS analysis of ccfDNA in Turkish patients with NSCLC. We demonstrated the feasibility of this advanced diagnostic method and identified mutations of resistance and potential treatment target. We suggest that the non invasive liquid biopsy will have a great clinical importance in the management of patients with NSCLC when obtained tissue samples are inadequate or repeat biopsy is difficult.

Acknowledgments

Part of this study was presented as a verbal presentation at the National Lung Cancer Congress on October 4-7, 2018 at Bodrum, Turkey. Author contributions: M. Buyuksimsek conceived the study and all authors designed the study. M. Buyuksimsek, M. Togun, B. Sahin, A. Evren Yetisir, A. Ogul and M. Tohumcuoglu collected the data. I. Boga performed the NGS studies. I. Boga and A. Bisgin analyzed the data. M. Buyuksimsek, I. Oguz Kara, M. To-gun, M. Tohumcuoglu, B. Sahin and A. Bisgin interpreted the results. M. Buyuksimsek, I. Oguz Kara, H. Erdem Sumbul and A. Bisgin drafted the manuscript with critical revisions from B. Sahin, M. Togun and M. Tohumcuoglu. All authors approved the final version.

Footnotes

Declaration of Interest. The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.

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