Literature DB >> 31058253

Revisiting Epidermal Growth Factor Receptor (EGFR) Amplification as a Target for Anti-EGFR Therapy: Analysis of Cell-Free Circulating Tumor DNA in Patients With Advanced Malignancies.

Scott M Lippman1, Razelle Kurzrock1, Shumei Kato1, Ryosuke Okamura1, Manvita Mareboina1, Suzanna Lee1, Aaron Goodman1, Sandip P Patel1, Paul T Fanta1, Richard B Schwab1, Peter Vu1, Victoria M Raymond2, Richard B Lanman2, Jason K Sicklick1.   

Abstract

PURPOSE: To date, evidence for tissue epidermal growth factor receptor (EGFR) overexpression as a biomarker for anti-EGFR therapies has been weak. We investigated the genomic landscape of EGFR amplification in blood-derived cell-free tumor DNA (cfDNA) across diverse cancers and the role of anti-EGFR therapies in achieving response.
METHODS: We assessed EGFR amplification status among 28,584 patients with malignancies evaluated by clinical-grade next-generation sequencing (NGS) of blood-derived cfDNA (54- to 73-gene panel). Furthermore, we curated the clinical characteristics of 1,434 patients at the University of California San Diego who had cfDNA testing by this NGS test.
RESULTS: Overall, EGFR amplification was detected in cfDNA from 8.5% of patients (2,423 of 28,584), most commonly in colorectal (16.3% [458 of 2,807]), non-small-cell lung (9.0% [1,096 of 12,197]), and genitourinary cancers (8.1% [170 of 2,104]). Most patients had genomic coalterations (96.9% [95 of 98]), frequently involving genes affecting other tyrosine kinases (72.4% [71 of 98]), mitogen-activated protein kinase cascades (56.1% [55 of 98]), cell-cycle-associated signals (52.0% [51 of 98]), and the phosphoinositide 3-kinase pathway (35.7% [35 of 98]). EGFR amplification emerged in serial cfDNA after various anticancer therapies (n = 6), including checkpoint inhibitors (n = 4), suggesting a possible role for these amplifications in acquired resistance. Nine evaluable patients with EGFR amplification were treated with anti-EGFR-based regimens; five (55.6%) achieved partial responses, including three patients whose tissue NGS lacked EGFR amplification.
CONCLUSION: EGFR amplification was detected in cfDNA among 8.5% of 28,584 diverse cancers. Most patients had coexisting alterations. Responses were observed in five of nine patients who received EGFR inhibitors. Incorporating EGFR inhibitors into the treatment regimens of patients harboring EGFR amplification in cfDNA merits additional study.

Entities:  

Year:  2019        PMID: 31058253      PMCID: PMC6497417          DOI: 10.1200/PO.18.00180

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


INTRODUCTION

Epidermal growth factor receptor (EGFR), also known as human epidermal growth factor receptor 1 (HER1) or ErbB1, is a receptor tyrosine kinase that belongs to the ErbB family proteins. Along with EGFR, the ErbB family includes HER2 (ErbB2), HER3 (ErbB3), and HER4 (ErbB4). When receptor-specific ligands bind to the extracellular domain of the EGFR, it forms a homodimer (EGFR-EGFR) or heterodimer (eg, EGFR-HER2, EGFR-HER3) that leads to the activation of receptors through ATP-dependent phosphorylation of tyrosine residues in the EGFR intracellular domain. Activation of EGFR leads to multiple downstream signals, including mitogen-activated protein kinase and phosphoinositide 3-kinase pathways, which enhances cell proliferation and survival.[1,2] Functional activation of EGFR via mutation or amplification/overexpression has been identified in many tumor types, including lung, head and neck, gastroesophageal, and colorectal cancers, and has been associated with proliferation, invasion, and metastasis.[3,4] Alterations in EGFR have also been linked to primary resistance and accelerated tumor growth (designated as hyperprogression) from immune checkpoint inhibitors.[5-7] Because of its critical role in tumor aggressiveness, EGFR has been an attractive target for anticancer therapy.[1] To date, there are various anti-EGFR therapies that are US Food and Drug Administration approved, including erlotinib, gefitinib, afatinib, and osimertinib for non–small-cell lung cancer (NSCLC) with specific activating EGFR mutations,[8] cetuximab and panitumumab for colorectal cancer without KRAS or NRAS mutations,[9] cetuximab for head and neck cancer,[10] and necitumumab for squamous cell carcinoma of lung.[11] Biomarkers to predict response to anti-EGFR therapies have been studied extensively. EGFR and KRAS mutation status are widely used in lung and colorectal cancer, respectively.[8,9,12,13] In contrast, EGFR amplification and overexpression in tissue have not been well established as reliable biomarkers for anti-EGFR agents, (selected studies that investigated EGFR amplification/overexpression as a predictive marker for anti-EGFR therapies are summarized in the Data Supplement)[11,14-19]. Overall, a meta-analysis concluded that tissue EGFR amplification status could not be demonstrated to be a consistent biomarker to predict the outcome from anti-EGFR therapies in colorectal cancer.[20] Although it is somewhat surprising that tissue EGFR amplification/expression status has not been established as a reliable biomarker for anti-EGFR therapies, potential reasons include heterogeneity between primary and metastatic lesions, dynamic changes in genomic alterations that may emerge along with therapeutic pressure or progression, presence of genomic coalterations associated with resistance, and potential differences in response to copy number gain due to aneuploidy versus focal EGFR amplification.[21-23] Use of plasma-derived cell-free tumor DNA (cfDNA) to assess EGFR status by next-generation sequencing (NGS) could conceivably overcome some of these limitations by detecting tumor-specific alterations that are shed into the bloodstream from multiple metastatic sites as well as the primary cancer.[23-29] Herein, we examined the genomic landscape of EGFR amplification by interrogating blood-derived cfDNA from 28,584 patients with diverse malignancies using clinical-grade NGS. Furthermore, we investigated the clinical characteristics, concordance between tissue NGS and cfDNA, and therapeutic outcome after anti-EGFR therapies among a subset of 1,434 clinically annotated patients at the University of California, San Diego (UCSD), Moores Cancer Center.

METHODS

Patients

The genomic landscape of EGFR amplification among 28,584 diverse solid cancers that were referred to Guardant Health from March 2014 to February 2017, were evaluated. Furthermore, we have curated the clinical characteristics of 1,434 evaluable patients with diverse cancers at UCSD who had cfDNA testing at Guardant Health starting in March 2014. All investigations followed the guidelines of the UCSD Institutional Review Board for data collection (Profile Related Evidence Determining Individualized Cancer Therapy; ClinicalTrials.gov identifier: NCT02478931) and for any investigational therapies for which the patients consented (Data Supplement).

NGS for cfDNA and Tissue

All cfDNA analyses were performed at Guardant Health as previously described (Data Supplement).[26] Tissue NGS was performed at Foundation Medicine, as previously described[30] (Data Supplement).

End Points and Statistical Methods

Patient characteristics, prevalence of EGFR amplification, and genomic coalterations were summarized by descriptive statistics. Fisher’s exact test was used for categorical variables. Concordances between cfDNA and tissue DNA were described by percentage of concordance and κ value with standard error. Antitumor response was evaluated using Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Progression-free survival was defined as the time from treatment initiation to disease progression. Patients who had not experienced disease progression at the time of last follow-up were censored at that time point. Statistical analysis was performed with the assistance of author R.O.

RESULTS

Prevalence of EGFR Amplification in cfDNA Testing in Diverse Cancers

Among 28,584 patients with diverse solid malignancies whose cfDNA was evaluated at a central laboratory, 8.5% (n = 2,423) had EGFR amplification. The most common tumors harboring EGFR amplification were colorectal cancer (16.3% [458 of 2,807]), followed by NSCLC (9.0% [1,096 of 12,197]), genitourinary cancers (8.1% [170 of 2,104]), cutaneous tumors (7.4% [45 of 610]), and breast cancer (7.3% [328 of 4,518]; Fig 1A).
Fig 1.

(A) Prevalence of EGFR amplification by cell-free DNA (cfDNA) among diverse cancer from central laboratory (n = 28,584). Among 28,584 patients with diverse cancer whose cfDNA was evaluated at central laboratory, overall 8.5% of patients (n = 2,423) had EGFR amplification (median copy number amplification [CNA], 2.55; range, 2.14 to 143.94). Overall, 1+, 2+, and 3+ EGFR CNAs were found in 2.9% (n = 828), 4.6% (n = 1,315), and 1.0% (n = 280) of patients, respectively. The most common cancer harboring EGFR amplification was colorectal cancer (16.3% [458 of 2,807]), followed by non–small-cell lung cancer (9.0% [1,096 of 12,197]) and genitourinary cancers (8.1% [170 of 2,104]). (B) Prevalence of EGFR amplification by cfDNA among diverse cancer from University of California, San Diego (UCSD), cohort (n = 1,434). Among UCSD cohort (n = 1,434), overall 6.8% of patients (98 of 1,434) had EGFR amplification (median CNA, 2.55; range, 2.18 to 143.94). CNAs of 1+, 2+, and 3+ were found in 3.0% (n = 43), 3.3% (n = 48), and 0.5% (n = 7) of patients, respectively. The most common cancer harboring EGFR amplification was small-cell lung cancer (30.0% [three of 10]), followed by breast cancer (14.7% [16 of 109]) and colorectal cancer (12.6% [16 of 127]). *Includes 25 patients with lung, adenocarcinoma (+ [n = 10], ++ [n = 12], +++ [n = 3]) and three patients with lung, squamous cell carcinoma (+ [n = 2], ++ [n = 1]). †Includes four patients with carcinoma of unknown primary (+ [n = 1], ++ [n = 2], +++ [n = 1]) and two patients with adrenocortical carcinoma (++ [n = 2]).

(A) Prevalence of EGFR amplification by cell-free DNA (cfDNA) among diverse cancer from central laboratory (n = 28,584). Among 28,584 patients with diverse cancer whose cfDNA was evaluated at central laboratory, overall 8.5% of patients (n = 2,423) had EGFR amplification (median copy number amplification [CNA], 2.55; range, 2.14 to 143.94). Overall, 1+, 2+, and 3+ EGFR CNAs were found in 2.9% (n = 828), 4.6% (n = 1,315), and 1.0% (n = 280) of patients, respectively. The most common cancer harboring EGFR amplification was colorectal cancer (16.3% [458 of 2,807]), followed by non–small-cell lung cancer (9.0% [1,096 of 12,197]) and genitourinary cancers (8.1% [170 of 2,104]). (B) Prevalence of EGFR amplification by cfDNA among diverse cancer from University of California, San Diego (UCSD), cohort (n = 1,434). Among UCSD cohort (n = 1,434), overall 6.8% of patients (98 of 1,434) had EGFR amplification (median CNA, 2.55; range, 2.18 to 143.94). CNAs of 1+, 2+, and 3+ were found in 3.0% (n = 43), 3.3% (n = 48), and 0.5% (n = 7) of patients, respectively. The most common cancer harboring EGFR amplification was small-cell lung cancer (30.0% [three of 10]), followed by breast cancer (14.7% [16 of 109]) and colorectal cancer (12.6% [16 of 127]). *Includes 25 patients with lung, adenocarcinoma (+ [n = 10], ++ [n = 12], +++ [n = 3]) and three patients with lung, squamous cell carcinoma (+ [n = 2], ++ [n = 1]). †Includes four patients with carcinoma of unknown primary (+ [n = 1], ++ [n = 2], +++ [n = 1]) and two patients with adrenocortical carcinoma (++ [n = 2]).

Prevalence of EGFR Amplification in cfDNA Testing in Patients With Diverse Cancers From UCSD Cohort

Among the UCSD cohort of 1,434 patients (Data Supplement), overall, 6.8% of patients (98 of 1,434) had EGFR amplification, including 86 patients detected at their first cfDNA evaluation and 12 patients with emerging EGFR amplification at the time of subsequent cfDNA evaluation. The most common cancers (with more than 10 samples) harboring EGFR amplification were breast (14.7% [16 of 109]) and colorectal cancer (12.7% [16 of 126]; Fig 1B).

Genomic Coalterations Associated With EGFR Amplification (analysis of cfDNA)

Among 98 patients with EGFR amplification at UCSD, the median number of characterized genomic alterations was 5.0 (range, 0 to 17; excluding the EGFR amplification), and the median number of alterations among patients without EGFR amplification (n = 1,336) was significantly less (median, 1.0; range, 0 to 20; P < .001). The most common coalterations associated with EGFR amplification were in the following genes: TP53 (65.3% [64 of 98]), followed by BRAF (42.9% [42 of 98]), MET (40.8% [40 of 98]), CDK6 (32.7% [32 of 98]), and PIK3CA (32.7% [32 of 98]; Fig 2; Appendix Fig A1). On the other hand, coalterations in these genes were found significantly less frequently among patients without EGFR amplification: coalterations in TP53 in 32.1% of patients, BRAF (4.9%), MET (2.5%), CDK6 (1.4%), and PIK3CA (8.8%; all P < .001; Fig 2). When the genes were categorized according to their oncogenic roles, 72.4% (71 of 98) of patients with EGFR amplification had at least one characterized coalteration in tyrosine kinase family genes, 56.1% (55 of 98) in genes involved in mitogen-activated protein kinase cascades, 52.0% (51 of 98) in cell-cycle–associated genes, and 35.7% (35 of 98) in phosphoinositide 3-kinase signaling pathway genes (Appendix Fig A2).
Fig 2.

Comparison of genomic alterations in patients with and without EGFR amplification (analysis of cell-free DNA [cfDNA]; n = 1,434). The most common cogenomic alterations associated with EGFR amplification was TP53 (65.3% [64 of 98]), followed by BRAF (42.9% [42 of 98]), MET (40.8% [40 of 98]), CDK6 (32.7% [32 of 98]), and PIK3CA (32.7% [32 of 98]). On the other hand, coalterations in these genes were significantly less associated among patients without EGFR amplification (alterations found: 32.1% in TP53, 4.9% in BRAF, 2.5% in MET, 1.4% in CDK6, and 8.8% in PIK3CA; all P < .001). *P < .001. **P = .027 by Fisher’s exact test. †EGFR alterations other than amplification. Variants of unknown significance excluded.

Comparison of genomic alterations in patients with and without EGFR amplification (analysis of cell-free DNA [cfDNA]; n = 1,434). The most common cogenomic alterations associated with EGFR amplification was TP53 (65.3% [64 of 98]), followed by BRAF (42.9% [42 of 98]), MET (40.8% [40 of 98]), CDK6 (32.7% [32 of 98]), and PIK3CA (32.7% [32 of 98]). On the other hand, coalterations in these genes were significantly less associated among patients without EGFR amplification (alterations found: 32.1% in TP53, 4.9% in BRAF, 2.5% in MET, 1.4% in CDK6, and 8.8% in PIK3CA; all P < .001). *P < .001. **P = .027 by Fisher’s exact test. †EGFR alterations other than amplification. Variants of unknown significance excluded.

Potential Targeted Therapies for Coalterations Associated With EGFR Amplification

In the UCSD cohort of 98 patients positive for EGFR amplification, 96.9% (95 of 98) of patient tumors had at least one characterized coalteration. All these 95 malignancies harbored at least one characterized coalteration potentially targetable with US Food and Drug Administration–approved agents as on- or off-label use.

Clinical Characteristics of Patients Who Had Emerging EGFR Amplification With Serial cfDNA Analyses

Six patients who initially tested negative for EGFR amplification in both tissue NGS and cfDNA were found to have emerging EGFR amplification with serial cfDNA analyses. (A total of 324 patients who initially tested negative had serial testing.) Patterns of genomic evolution differed from patient to patient. Emergence of EGFR amplification was seen among patients in a variety of situations, including in four patients who received checkpoint inhibitors, although two of the four patients also had other intervening therapies (Fig 3; Data Supplement).
Fig 3.

Overview of patients who had emerging EGFR amplification with serial cell-free DNA (cfDNA) analysis after anticancer therapies (Data Supplement). Six patients who initially tested negative for EGFR amplification on tissue next-generation sequencing as well as cfDNA were found to have EGFR amplification with serial cfDNA analyses after various treatments; in four patients, treatment regimens included immune checkpoint inhibitors (n = 4; patients 30, 33, 43, and 46). EGFR, epidermal growth factor receptor; FOLFIRI, fluorouracil, leucovorin, and irinotecan; NGS, next-generation sequencing; TKI, tyrosine kinase inhibitor.

Overview of patients who had emerging EGFR amplification with serial cell-free DNA (cfDNA) analysis after anticancer therapies (Data Supplement). Six patients who initially tested negative for EGFR amplification on tissue next-generation sequencing as well as cfDNA were found to have EGFR amplification with serial cfDNA analyses after various treatments; in four patients, treatment regimens included immune checkpoint inhibitors (n = 4; patients 30, 33, 43, and 46). EGFR, epidermal growth factor receptor; FOLFIRI, fluorouracil, leucovorin, and irinotecan; NGS, next-generation sequencing; TKI, tyrosine kinase inhibitor.

Concordance of EGFR Amplification Between cfDNA and Tissue NGS

Among patients from the UCSD cohort whose cfDNA was evaluated, tissue NGS was available in 787 cases. The overall concordance rate for EGFR amplification between tissue and cfDNA NGS was 89.3% (Data Supplement). A shorter interval between the date of tissue biopsy (for tissue NGS) and blood draw (for cfDNA) was associated with statistically higher concordance rate (≤ 6 months: 92.1% v > 6 months: 85.8%; P = .005; Data Supplement).

Efficacy of Anti-EGFR Therapies Among Patients With EGFR Amplification Detected by cfDNA Analysis

Among 98 patients with EGFR amplification, patients harboring coactivating EGFR mutations were excluded from the analysis, because the response from anti-EGFR therapies could be confounded by these mutations (n = 26). Among 72 patients with EGFR amplification (without coexisting EGFR mutations), nine received treatment regimens that included anti-EGFR agents after cfDNA testing (Appendix Fig A3). Among these nine individuals, EGFR plasma copy numbers ranged from 2.37 to 143.94 (1+ [n = 1], 2+ [n = 4], and 3+ [n = 4]) across six different cancer diagnoses: tonsillar squamous cell carcinoma (n = 1), triple-negative breast cancer (n = 1), adenocarcinoma of unknown primary (n = 1), gastroesophageal junction adenocarcinoma (n = 1), adrenocortical carcinoma (n = 2), and colorectal cancer (n = 3). Types of anti-EGFR–based regimens were as follows: monotherapy with anti-EGFR antibody (n = 1), anti-EGFR antibody plus another targeted agent (n = 1), EGFR tyrosine kinase inhibitor plus another targeted agent (n = 1), anti-EGFR antibody plus cytotoxic agents (n = 2), and dual anti-EGFR therapy–based regimens (combination of anti-EGFR antibody plus EGFR tyrosine kinase inhibitor; n = 4). Overall, tumor reduction was seen in six of nine patients (66.7%), including five (55.6%) who attained a partial response (PR) per RECIST 1.1 (Fig 4). Illustrative responders are depicted in Figure 5.[28]
Fig 4.

Efficacy of anti–epidermal growth factor receptor (EGFR)–based therapies among patients with EGFR amplification (amp). Nine patients with EGFR amplification were evaluable for response from anti-EGFR–based therapies. Overall, tumor reduction was seen in six of nine (66.7%), including five of nine (55.6%) patients with partial response per Response Evaluation Criteria in Solid Tumors 1.1. (*) Patient was experiencing mixed response (mixture of disease stability and progressive disease) with pembrolizumab monotherapy after 15 months. Anti-EGFR agents were added for emerging EGFR amplification detected in cfDNA (see also Figure 5). cfDNA, cell-free DNA; CNA, copy number amplification; EGFR, epidermal growth factor receptor; FOLFIRI, fluorouracil, leucovorin, and irinotecan; GE, gastroesophageal; N/A, not applicable; NGS, next-generation sequencing; PFS, progression-free survival; SCC, squamous cell carcinoma; TKI, tyrosine kinase inhibitor.

Fig 5.

Representative cases of patients who achieved tumor reduction with anti–epidermal growth factor receptor (EGFR)–based therapies. (A) Patient 26: Dynamic change in serial cell-free DNA (cfDNA) along with anti-EGFR therapies. (B) Patient 26: Serial computed tomography (CT) images while receiving anti-EGFR therapies (correspond with A). A 55-year-old woman with metastatic triple-negative breast cancer to bone and lung was treated with pembrolizumab with initial disease stability for more than 1 year, but then progression in the bones and deteriorating performance status requiring a wheelchair. cfDNA obtained before treatment did not detect genomic alterations. cfDNA at the time of bone progression revealed multiple emerging alterations, including EGFR amplification (3+; plasma copy number of 4.88; A). Pembrolizumab was continued and anti-EGFR therapies (erlotinib and cetuximab) were added. After starting anti-EGFR agents, the patient achieved 16% tumor shrinkage per Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 (B, left to right), with symptomatic improvement allowing the patient to ambulate without narcotics for pain control. Repeat cfDNA showed elimination of most alterations, including EGFR amplification (A). Therapy with anti-EGFR inhibitors is ongoing at 4+ months. (C) Patient 57: Serial CT images while receiving anti-EGFR therapy. A 53-year-old woman with metastatic rectal adenocarcinoma to the liver and lungs presented after experiencing disease progression while receiving two lines of therapies (infusional fluorouracil, leucovorin, and oxaliplatin with bevacizumab and fluorouracil, leucovorin, and irinotecan with bevacizumab). Tissue next-generation sequencing was negative for EGFR amplification; however, cfDNA revealed alterations including EGFR amplification (1+; plasma copy number of 2.37). Therapy was started with single-agent cetuximab, and a 44% reduction in tumor burden by RECIST 1.1 was seen (progression-free survival, 6.0 months; C, left to right). (D) Patient 25: Serial CT images while receiving anti-EGFR therapies. A 68-year-old woman was referred with metastatic gastroesophageal junction carcinoma to the liver and lymph nodes. Both cfDNA and primary tumor showed EGFR amplification by next-generation sequencing (EGFR amplification 3+ by cfDNA, plasma copy number of 143.94). Therapy with dual anti-EGFR therapy (cetuximab and erlotinib) was started (patient was also administered one dose of nivolumab on the basis of programmed death ligand 1 positive by immunohistochemistry; however, held because of severe rash). The patient achieved a durable partial response[28] (70% tumor reduction; progression-free survival, 18 months; D, left to right). Serial cfDNA analyses were obtained at 4 months, 12 months, and 17 months after the initiation of therapy and were negative for EGFR amplification. Red arrows and circles indicate presence of tumor. cfDNA, cell-free DNA.

Efficacy of anti–epidermal growth factor receptor (EGFR)–based therapies among patients with EGFR amplification (amp). Nine patients with EGFR amplification were evaluable for response from anti-EGFR–based therapies. Overall, tumor reduction was seen in six of nine (66.7%), including five of nine (55.6%) patients with partial response per Response Evaluation Criteria in Solid Tumors 1.1. (*) Patient was experiencing mixed response (mixture of disease stability and progressive disease) with pembrolizumab monotherapy after 15 months. Anti-EGFR agents were added for emerging EGFR amplification detected in cfDNA (see also Figure 5). cfDNA, cell-free DNA; CNA, copy number amplification; EGFR, epidermal growth factor receptor; FOLFIRI, fluorouracil, leucovorin, and irinotecan; GE, gastroesophageal; N/A, not applicable; NGS, next-generation sequencing; PFS, progression-free survival; SCC, squamous cell carcinoma; TKI, tyrosine kinase inhibitor. Representative cases of patients who achieved tumor reduction with anti–epidermal growth factor receptor (EGFR)–based therapies. (A) Patient 26: Dynamic change in serial cell-free DNA (cfDNA) along with anti-EGFR therapies. (B) Patient 26: Serial computed tomography (CT) images while receiving anti-EGFR therapies (correspond with A). A 55-year-old woman with metastatic triple-negative breast cancer to bone and lung was treated with pembrolizumab with initial disease stability for more than 1 year, but then progression in the bones and deteriorating performance status requiring a wheelchair. cfDNA obtained before treatment did not detect genomic alterations. cfDNA at the time of bone progression revealed multiple emerging alterations, including EGFR amplification (3+; plasma copy number of 4.88; A). Pembrolizumab was continued and anti-EGFR therapies (erlotinib and cetuximab) were added. After starting anti-EGFR agents, the patient achieved 16% tumor shrinkage per Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 (B, left to right), with symptomatic improvement allowing the patient to ambulate without narcotics for pain control. Repeat cfDNA showed elimination of most alterations, including EGFR amplification (A). Therapy with anti-EGFR inhibitors is ongoing at 4+ months. (C) Patient 57: Serial CT images while receiving anti-EGFR therapy. A 53-year-old woman with metastatic rectal adenocarcinoma to the liver and lungs presented after experiencing disease progression while receiving two lines of therapies (infusional fluorouracil, leucovorin, and oxaliplatin with bevacizumab and fluorouracil, leucovorin, and irinotecan with bevacizumab). Tissue next-generation sequencing was negative for EGFR amplification; however, cfDNA revealed alterations including EGFR amplification (1+; plasma copy number of 2.37). Therapy was started with single-agent cetuximab, and a 44% reduction in tumor burden by RECIST 1.1 was seen (progression-free survival, 6.0 months; C, left to right). (D) Patient 25: Serial CT images while receiving anti-EGFR therapies. A 68-year-old woman was referred with metastatic gastroesophageal junction carcinoma to the liver and lymph nodes. Both cfDNA and primary tumor showed EGFR amplification by next-generation sequencing (EGFR amplification 3+ by cfDNA, plasma copy number of 143.94). Therapy with dual anti-EGFR therapy (cetuximab and erlotinib) was started (patient was also administered one dose of nivolumab on the basis of programmed death ligand 1 positive by immunohistochemistry; however, held because of severe rash). The patient achieved a durable partial response[28] (70% tumor reduction; progression-free survival, 18 months; D, left to right). Serial cfDNA analyses were obtained at 4 months, 12 months, and 17 months after the initiation of therapy and were negative for EGFR amplification. Red arrows and circles indicate presence of tumor. cfDNA, cell-free DNA.

DISCUSSION

We describe the comprehensive landscape of EGFR amplification in cfDNA among 28,584 patients with varied malignancies whose liquid biopsy was evaluated at a central, clinical-grade laboratory. Overall, 8.5% of patients harbored an EGFR amplification in their blood-derived cfDNA, with EGFR amplifications being most common in colorectal cancer (16.3% of patients), NSCLC (9.0%), genitourinary cancers (8.1%), cutaneous tumors (7.4%), and breast malignancies (7.3%). Having high copy number amplification with greater than 4.00-fold EGFR amplification was seen in 1.0% of patients; most patients had amplification levels between 2.41-fold and 4.00-fold (4.6%; Fig 1). EGFR amplification/overexpression is associated with cancer aggressiveness.[3,4] Even so, previous studies failed to demonstrate tissue-based assessment of EGFR overexpression to be a reliable biomarker to predict clinical outcomes after anti-EGFR therapies (Data Supplement).[11,14-20] These observations are consistent with data from meta-analyses and clinical experience suggesting that, counterintuitively, genomic biomarkers correlate better with response than protein expression, perhaps because of technical limitations associated with assessment of immunohistochemistry staining.[31-34] Prior studies looking at the relationship between EGFR amplification and therapeutic response to EGFR inhibitors showed inconsistent results (Data Supplement). However, one potential explanation is tumor heterogeneity, especially between primary and metastatic lesions and even between distinct foci at the same site. Indeed, Pectasides et al[23] demonstrated that, among patients with treatment-naive metastatic gastroesophageal cancers, discordant gene alterations between primary and metastatic tissue were common, being seen in 42% of patients. Interestingly, the discordance rate was higher for gene amplifications. However, among discordant cases, high concordance (87.5%) was seen between metastatic tissue and cfDNA profiling. The concordance rate documented by Pectasides et al[23] is similar to that in the current report that showed an 89.3% concordance rate for EGFR amplification between cfDNA and tissue NGS (Data Supplement). These results suggest that biopsy of a limited tumor focus can misrepresent the overall genomic condition of disease and, thus, may not be a completely accurate guide for targeted treatment. NGS of cfDNA derived from plasma may attenuate this challenge. Consistent with this concept, among our nine evaluable patients who harbored EGFR amplification by cfDNA analysis, anti-EGFR–based therapies led to tumor reduction in 66.7% (six of nine) including 55.6% (five of nine) who achieved a PR (Fig 4). Our data are comparable to those of Maron et al,[35] who showed a 58% (four of seven) objective response rate among patients with EGFR-amplified gastric cancer (all seven patients were positive for EGFR amplification by tissue NGS, and six were positive by cfDNA analysis). Similarly, ERBB2 amplification detected by cfDNA analysis was highly predictive of anti-HER2 targeted therapy response.[36] There were additional noteworthy observations from our patients treated with anti-EGFR–based therapies: three of five patients whose EGFR amplification was only detected in cfDNA (negative on tissue NGS) still demonstrated a PR (including one patient treated with cetuximab monotherapy [patient 57]), PRs were seen across different degrees of EGFR amplification status (from copy number amplification of 2.37 to 143.94), and three of four patients who received dual anti-EGFR inhibitors (coadministration of antibody and tyrosine kinase inhibitor for EGFR) achieved tumor reduction. Importantly, dual inhibition with both an antibody and a small molecule targeting the same receptor has been investigated among patients with HER2-positive breast cancer and reported to have significantly higher response rates when compared with either drug alone.[37] Efficacy of dual-targeted therapy was also seen in patients with HER2-positive colon cancer that showed a 30% response rate with trastuzumab/lapatinib combination.[38] Similarly, early-phase clinical trials with dual-EGFR inhibition (cetuximab/afatinib- or cetuximab/erlotinib-based therapy) showed favorable clinical outcomes among patients with refractory NSCLC and colorectal cancer.[39-43] The mechanism by which dual inhibition operates is not fully elucidated, but preclinical studies suggest that kinase receptors may function via kinase-dependent and -independent mechanisms.[44,45] Although responses were seen in more than half of the patients with EGFR amplification treated with EGFR inhibitors, not all patients responded. Our study demonstrates that patients whose tumors harbor EGFR amplifications have considerably more cfDNA genomic alterations than those without EGFR amplification (median, 5.0 v 1.0 genomic coalteration per patient; P < .001). Therefore, primary or secondary resistance could be on the basis of the need to target coexisting activated pathways. Indeed, as seen in Figure 4, of the nine patients with cfDNA EGFR amplification treated with EGFR-targeting agents, the four nonresponders had six to nine genomic coalterations, whereas the five responders had only zero to five coalterations per patient. Furthermore, the patient with the greatest tumor regression and most durable response (Fig 4, patient 25; progression-free survival, 18 months) demonstrated no genomic coalterations on cfDNA. Of interest, patients who failed to achieve prolonged responses had coalterations in specific oncogenic pathways, including CDK4/6, MET, PDGFRA, ERBB2, FGFR1, PIK3CA, AKT1, KRAS, and BRAF, some of which are known to be associated with resistance to anti-EGFR therapies.[46,47] Considering that patients with EGFR amplification had frequent potentially tractable coalterations (Fig 2; Appendix Figs A1 and A2), a customized combination strategy may be required.[48,49] Although current findings do not provide definitive proof of antitumor activity, these observations suggest that studies of appropriate combinations of drugs that target both the EGFR amplification and the coalterations would be of interest. Investigation of such an approach is currently ongoing (ClinicalTrial.gov identifier: NCT02534675; I-PREDICT [Study of Molecular Profile-Related Evidence to Determine Individualized Therapy for Advanced or Poor Prognosis Cancers]). Interestingly, Oxnard et al[50] and Abbosh et al[51] have shown that more extensive disease burden corresponds to higher rates of cfDNA detection. The finding of higher numbers of comutations in patients harboring EGFR amplification events could therefore be a possible effect of increased aggressiveness and higher tumor burden (with more extensive disease shedding more cfDNA and thus permitting detection of more alterations), or, alternatively, higher numbers of comutations could be a cause of increased aggressiveness. In this regard, we have recently found that higher percent cfDNA correlates with higher number of alterations. Furthermore, both higher percent cfDNA and higher number of alterations were independently associated with shorter survival after multivariate analysis. This observation suggests that the association between survival and number of alterations is independent of the percent cfDNA (with the latter correlating with disease burden; unpublished data). In the current report, we also identified patients whose EGFR amplifications emerged in their liquid biopsy with serial testing after a variety of anticancer therapies (n = 6; Fig 3). For instance, one patient who was treated with the EGFR tyrosine kinase inhibitor erlotinib showed emergence of blood-derived EGFR amplification after disease progression (Fig 4), consistent with a previous report demonstrating tumor evolution with EGFR amplification as a potential resistance mechanism to EGFR tyrosine kinase inhibitor administration.[52] Perhaps relevant in this regard, all of our responders had an EGFR antibody included in their regimen. Four patients were found to have emerging EGFR amplification after disease progression while receiving checkpoint inhibitors. Although EGFR alterations are reported to be associated with primary resistance and hyperprogression after immune checkpoint blockade,[6,7] the current observation may suggest that EGFR amplification can also be a possible mechanism for acquired resistance after checkpoint blockades. For those patients with clonal evolution that includes EGFR amplification after anti–PD-1 checkpoint blockade, addition of anti-EGFR therapy may overcome resistance. This is suggested by our representative patient who was treated with pembrolizumab, had a mixed response, and then received erlotinib and cetuximab (in addition to ongoing pembrolizumab) and showed reduction in EGFR cfDNA copy number as well as regression of tumor foci and improvement in pain and performance status (Fig 4, patient 26; Figs 5A and 5B).[39,40] Additional investigation is required to understand the complex interplay of response and resistance associated with EGFR amplifications, EGFR-targeting pharmaceuticals, and checkpoint blockade. There were several limitations to the current study. First, the investigation of clinical correlates in the UCSD cohort was performed retrospectively. Second, for the large de-identified database of 28,584 patients, sample size bias cannot be excluded, because the number of each cancer type was based on the number of samples sent for cfDNA testing by treating physicians. Moreover, the diagnosis was determined based on the submitting physician’s designation. Third, in the de-identified database, we were not able to evaluate the history of systemic therapy that may have affected the dynamics of cfDNA. It is possible that some of the EGFR amplifications emerged because of therapeutic pressure. Last, technological methods and definition of EGFR amplification differed between tissue NGS and cfDNA analyses; thus, direct comparison between those two tests may be challenging. Yet, despite these limitations, the study provides a comprehensive analysis of EGFR amplification detected from plasma-derived cfDNA in a wide range of malignancies. In conclusion, among patients with diverse cancers (n = 28,584 from a central laboratory), cfDNA interrogated by clinical-grade NGS revealed that 8.5% of patients with solid cancers harbored EGFR amplification. Frequencies of EGFR amplification differed between cancer types. Most patients found to have EGFR amplification also had genomic coalterations that are, in theory, pharmacologically tractable (96.9% [95 of 98]) by available drugs. Anti-EGFR–based therapies among patients found to have EGFR amplification by cfDNA analysis achieved responses in 55.6% of patients (five of nine), including in three individuals who failed to show EGFR amplification on tissue NGS. Incorporating EGFR inhibitors into regimens administered to patients with EGFR amplification in cfDNA warrants additional investigation.
  52 in total

1.  Epidermal growth factor-induced tumor cell invasion and metastasis initiated by dephosphorylation and downregulation of focal adhesion kinase.

Authors:  Z Lu; G Jiang; P Blume-Jensen; T Hunter
Journal:  Mol Cell Biol       Date:  2001-06       Impact factor: 4.272

Review 2.  EGF-ERBB signalling: towards the systems level.

Authors:  Ami Citri; Yosef Yarden
Journal:  Nat Rev Mol Cell Biol       Date:  2006-07       Impact factor: 94.444

Review 3.  Epidermal growth factor receptor (EGFR) signaling in cancer.

Authors:  Nicola Normanno; Antonella De Luca; Caterina Bianco; Luigi Strizzi; Mario Mancino; Monica R Maiello; Adele Carotenuto; Gianfranco De Feo; Francesco Caponigro; David S Salomon
Journal:  Gene       Date:  2005-12-27       Impact factor: 3.688

Review 4.  EGFR antagonists in cancer treatment.

Authors:  Fortunato Ciardiello; Giampaolo Tortora
Journal:  N Engl J Med       Date:  2008-03-13       Impact factor: 91.245

5.  Phase II trial of erlotinib in gastroesophageal junction and gastric adenocarcinomas: SWOG 0127.

Authors:  Tomislav Dragovich; Sheryl McCoy; Cecilia M Fenoglio-Preiser; Jiang Wang; Jacqueline K Benedetti; Amanda F Baker; Christopher B Hackett; Susan G Urba; Ken S Zaner; Charles D Blanke; James L Abbruzzese
Journal:  J Clin Oncol       Date:  2006-10-20       Impact factor: 44.544

6.  Survival of cancer cells is maintained by EGFR independent of its kinase activity.

Authors:  Zhang Weihua; Rachel Tsan; Wei-Chien Huang; Qiuyu Wu; Chao-Hua Chiu; Isaiah J Fidler; Mien-Chie Hung
Journal:  Cancer Cell       Date:  2008-05       Impact factor: 31.743

7.  Evaluation of EGFR gene copy number as a predictive biomarker for the efficacy of cetuximab in combination with chemotherapy in the first-line treatment of recurrent and/or metastatic squamous cell carcinoma of the head and neck: EXTREME study.

Authors:  L Licitra; R Mesia; F Rivera; É Remenár; R Hitt; J Erfán; S Rottey; A Kawecki; D Zabolotnyy; M Benasso; S Störkel; S Senger; C Stroh; J B Vermorken
Journal:  Ann Oncol       Date:  2010-11-03       Impact factor: 32.976

8.  Platinum-based chemotherapy plus cetuximab in head and neck cancer.

Authors:  Jan B Vermorken; Ricard Mesia; Fernando Rivera; Eva Remenar; Andrzej Kawecki; Sylvie Rottey; Jozsef Erfan; Dmytro Zabolotnyy; Heinz-Roland Kienzer; Didier Cupissol; Frederic Peyrade; Marco Benasso; Ihor Vynnychenko; Dominique De Raucourt; Carsten Bokemeyer; Armin Schueler; Nadia Amellal; Ricardo Hitt
Journal:  N Engl J Med       Date:  2008-09-11       Impact factor: 91.245

9.  EGFR FISH assay predicts for response to cetuximab in chemotherapy refractory colorectal cancer patients.

Authors:  F Cappuzzo; G Finocchiaro; E Rossi; P A Jänne; C Carnaghi; C Calandri; K Bencardino; C Ligorio; F Ciardiello; T Pressiani; A Destro; M Roncalli; L Crino; W A Franklin; A Santoro; M Varella-Garcia
Journal:  Ann Oncol       Date:  2007-10-31       Impact factor: 32.976

Review 10.  American Society of Clinical Oncology provisional clinical opinion: testing for KRAS gene mutations in patients with metastatic colorectal carcinoma to predict response to anti-epidermal growth factor receptor monoclonal antibody therapy.

Authors:  Carmen J Allegra; J Milburn Jessup; Mark R Somerfield; Stanley R Hamilton; Elizabeth H Hammond; Daniel F Hayes; Pamela K McAllister; Roscoe F Morton; Richard L Schilsky
Journal:  J Clin Oncol       Date:  2009-02-02       Impact factor: 44.544

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  20 in total

1.  Circulating Tumor DNA Sequencing Analysis of Gastroesophageal Adenocarcinoma.

Authors:  Steven B Maron; Leah M Chase; Samantha Lomnicki; Sara Kochanny; Kelly L Moore; Smita S Joshi; Stacie Landron; Julie Johnson; Lesli A Kiedrowski; Rebecca J Nagy; Richard B Lanman; Seung Tae Kim; Jeeyun Lee; Daniel V T Catenacci
Journal:  Clin Cancer Res       Date:  2019-08-19       Impact factor: 12.531

2.  Emergence of Concurrent Multiple EGFR Mutations and MET Amplification in a Patient With EGFR-Amplified Advanced Gastric Cancer Treated With Cetuximab.

Authors:  Yoshiaki Nakamura; Akinori Sasaki; Hiroki Yukami; Tomoko Jogo; Akihito Kawazoe; Yasutoshi Kuboki; Hiroya Taniguchi; Riu Yamashita; Takeshi Kuwata; Miho Ozawa; Maho Nakamura; Takayuki Yoshino; Kohei Shitara
Journal:  JCO Precis Oncol       Date:  2020-11-17

3.  CAPP-seq analysis of circulating tumor DNA from patients with EGFR T790M-positive lung cancer after osimertinib.

Authors:  Ryoji Kato; Hidetoshi Hayashi; Kazuko Sakai; Shinichiro Suzuki; Koji Haratani; Takayuki Takahama; Junko Tanizaki; Yoshikane Nonagase; Kaoru Tanaka; Takeshi Yoshida; Masayuki Takeda; Kimio Yonesaka; Hiroyasu Kaneda; Kazuto Nishio; Kazuhiko Nakagawa
Journal:  Int J Clin Oncol       Date:  2021-06-11       Impact factor: 3.402

4.  Prognostic Utility of Pre- and Postoperative Circulating Tumor DNA Liquid Biopsies in Patients with Peritoneal Metastases.

Authors:  Joel M Baumgartner; Paul Riviere; Richard B Lanman; Kaitlyn J Kelly; Jula Veerapong; Andrew M Lowy; Razelle Kurzrock
Journal:  Ann Surg Oncol       Date:  2020-08-06       Impact factor: 5.344

5.  Target-based genomic profiling of ctDNA from Chinese non-small cell lung cancer patients: a result of real-world data.

Authors:  Huijuan Chen; Aiqin Wang; Jing Wang; Zeming He; Yanqiu Mao; Liming Liu
Journal:  J Cancer Res Clin Oncol       Date:  2020-03-27       Impact factor: 4.553

Review 6.  Cancer of Unknown Primary in the Molecular Era.

Authors:  Shumei Kato; Ahmed Alsafar; Vighnesh Walavalkar; John Hainsworth; Razelle Kurzrock
Journal:  Trends Cancer       Date:  2021-01-28

7.  Clinical correlates of blood-derived circulating tumor DNA in pancreatic cancer.

Authors:  Hitendra Patel; Ryosuke Okamura; Paul Fanta; Charmi Patel; Richard B Lanman; Victoria M Raymond; Shumei Kato; Razelle Kurzrock
Journal:  J Hematol Oncol       Date:  2019-12-04       Impact factor: 17.388

8.  Biotin-streptavidin-guided two-step pretargeting approach using PLGA for molecular ultrasound imaging and chemotherapy for ovarian cancer.

Authors:  Xiaoling Huang; Fang Li; Hang Zhou; Jing Fu; Qihuan Fu; Yujie Feng; Ruixia Hong; Pan Li; Zhigang Wang
Journal:  PeerJ       Date:  2021-05-25       Impact factor: 2.984

9.  Validation of a liquid biopsy assay with molecular and clinical profiling of circulating tumor DNA.

Authors:  Justin D Finkle; Hala Boulos; Terri M Driessen; Christine Lo; Richard A Blidner; Ashraf Hafez; Aly A Khan; Ariane Lozac'hmeur; Kelly E McKinnon; Jason Perera; Wei Zhu; Afshin Dowlati; Kevin P White; Robert Tell; Nike Beaubier
Journal:  NPJ Precis Oncol       Date:  2021-07-02

Review 10.  Clinical Application of Next-Generation Sequencing as A Liquid Biopsy Technique in Advanced Colorectal Cancer: A Trick or A Treat?

Authors:  Myrto Kastrisiou; George Zarkavelis; George Pentheroudakis; Angeliki Magklara
Journal:  Cancers (Basel)       Date:  2019-10-16       Impact factor: 6.639

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