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World J Radiol. Jul 28, 2014; 6(7): 392-398
Published online Jul 28, 2014. doi: 10.4329/wjr.v6.i7.392
FDG-PET/CT response evaluation during EGFR-TKI treatment in patients with NSCLC
Matthijs H van Gool, Koen J Hartemink, Houke M Klomp, Department of Surgical Oncology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands
Tjeerd S Aukema, Renato A Valdés Olmos, Department of Nuclear Medicine, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands
Harm van Tinteren, Department of Biometrics, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands
Author contributions: All authors contributed equally on this manuscript in accordance with the standard proposed by the International Committee of Medical Journal Editors.
Correspondence to: Houke M Klomp, MD, PhD, Department of Surgical Oncology, The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands. h.klomp@nki.nl
Telephone: +31-20-5122554 Fax: +31-20-5129111
Received: January 23, 2014
Revised: April 28, 2014
Accepted: May 16, 2014
Published online: July 28, 2014

Abstract

Over recent years, [18F]-fluorodeoxyglucose positron emission tomography acquired together with low dose computed tomography (FDG-PET/CT) has proven its role as a staging modality in patients with non-small cell lung cancer (NSCLC). The purpose of this review was to present the evidence to use FDG-PET/CT for response evaluation in patients with NSCLC, treated with epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKI). All published articles from 1 November 2003 to 1 November 2013 reporting on 18F-FDG-PET response evaluation during EGFR-TKI treatment in patients with NSCLC were collected. In total 7 studies, including data of 210 patients were eligible for analyses. Our report shows that FDG-PET/CT response during EGFR-TKI therapy has potential in targeted treatment for NSCLC. FDG-PET/CT response is associated with clinical and radiologic response and with survival. Furthermore FDG-PET/CT response monitoring can be performed as early as 1-2 wk after initiation of EGFR-TKI treatment. Patients with substantial decrease of metabolic activity during EGFR-TKI treatment will probably benefit from continued treatment. If metabolic response does not occur within the first weeks of EGFR-TKI treatment, patients may be spared (further) unnecessary toxicity of ineffective treatment. Refining FDG-PET response criteria may help the clinician to decide on continuation or discontinuation of targeted treatment.

Key Words: Non-small cell lung cancer, Epidermal growth factor receptor-tyrosine kinase inhibitors therapy, Positron emission tomography-computed tomography, Computed tomography, Response monitoring

Core tip: Our report shows that response monitoring using [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) acquired together with low dose computed tomography has potential in targeted treatment for non-small cell lung cancer and can be performed as early as 1-2 wk after initiation of treatment. Patients with substantial decrease of metabolic activity during epidermal growth factor receptor-tyrosine kinase inhibitors treatment will probably benefit from continued treatment. Refining FDG-PET response criteria may help the clinician to decide on continuation or discontinuation of targeted treatment.



INTRODUCTION

Over recent years, [18F]-fluorodeoxyglucose positron emission tomography acquired together with low dose computed tomography (FDG-PET/CT) has proven its role as a staging modality in patients with non-small cell lung cancer (NSCLC)[1-3]. In addition, FDG-PET/CT has been evaluated as a method to monitor tumor response to chemotherapy. Several studies demonstrated that FDG-PET/CT is able to predict response to treatment in various malignancies, i.e., breast cancer[4,5], malignant lymphoma[6,7] and colorectal cancer[8]. Diagnostic CT has been the clinical standard for response evaluation in NSCLC. There is an ongoing discussion on the performance of FDG-PET/CT as compared to CT[9-11].

With advances in molecular research, molecular-targeted agents such as epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKI) have emerged for the treatment of (advanced) NSCLC. EGFR-TKIs are able to induce swift responses in selected groups of NSCLC patients and TKI treatment is associated with survival benefit when given as second-line treatment in unselected patients[12]. It blocks the tyrosine kinase domain of the EGFR, thereby inhibiting downstream signaling pathways involved in cell proliferation, angiogenesis, invasion and metastasis and prevention of apoptosis. They can be orally administered, have a relatively favorable toxicity profile, and are registered for the treatment of patients with advanced (chemotherapy-refractory) NSCLC[13].

The probability of response to EGFR–TKIs is considerably higher in patients with EGFR-mutated tumors[14-16]. However, prediction of response is suboptimal by mutation analysis only[17,18]. It is known, that several patients without apparent sensitizing EGFR mutations do benefit from erlotinib therapy[19]. This may be due to heterogeneity within the tumor or the limitations of biopsy analysis not always showing relevant mutations. On the other hand, patients who do not respond to EGFR-TKI’s, despite the presence of activating mutations, could be spared unnecessary toxicity and costs. Therefore early decision making as to the effect of treatment is essential.

In this perspective, we present the evidence to use FDG-PET/CT for response evaluation in patients with NSCLC, treated with EGFR-TKI.

SEARCH
Study eligibility and identification

We performed a systematic computerized search of the of PubMed and Medline databases (last search: 01 November 2013) and the Cochrane library (Issue 10, 31 October 2013) to identify all published articles from 01 November 2003 to 01 November 2013 reporting on 18F-FDG-PET response evaluation during EGFR-TKI treatment in patients with NSCLC, using the algorithm: [(Non-Small Cell Lung Carcinoma OR NSCLC) AND (Epidermal Growth Factor Receptor OR EGFR) AND (Diagnostic Imaging) AND (18-FDG PET)]. We also hand-searched journals known to publish data relevant to our search, the reference lists of all articles we recovered and those of relevant review articles were also cross-referenced. Experts in the field were contacted to broaden our yield of potentially eligible articles. Whenever several reports pertained to overlapping groups of patients, we retained only the report with the largest number of events or largest patient population (where appropriate) to avoid duplication of information.

Inclusion and exclusion criteria

The inclusion criteria were as follows: (1) histologically proven NSCLC; (2) use of 18F-FDG as a tracer; (3) use of an 18F-FDG-PET/CT scanning apparatus in humans; (4) use of EGFR-TKI; and (5) articles reported in English.

Studies examining EGFR-targeted agents in combination with other agents were considered eligible, as were single agent anti-EGFR studies, whether they were single arm non-randomised studies, phase II or III randomised studies, prospective studies, or retrospective studies. Abstracts, meeting proceedings and case reports, defined as studies reporting on fewer than five patients, were excluded. When datasets were incomplete for required data, corresponding authors were contacted; however, no additional data were obtained by this process. Our literature search was limited to published studies.

Data extraction

The following information was manually extracted from each recovered article: first author, journal and year of publication, number of patients screened, EGFR mutational rate, stage of disease correlations with clinico-pathologic and demographic data (i.e., smoking status, history, gender, histologic type), and also for data to treatment outcome [i.e., CR, PR CR + PR, stable disease (SD), progressive disease (PD), and nonassessable patients] with the TKIs gefitinib and erlotinib when administered as single agent, i.e., monotherapy TKI. No stratification has been made according to TKI with respect to response data. Information recorded about each recovered reference is listed in Table 1. Data extraction was done independently by two of the authors (MG and TA) and discrepancies were resolved by consensus including a third author (HK).

Table 1 Patient characteristics n(%).
Ref.Year of publicationnAge,yrM/FStudy typeStudy protocol FDG responseStage ofdiseaseHistologyEGFR Selection
Riely et al[20]200713562/11Prospective21 d after stopping and 21 d after restartingIVAdenocarcinoma 11 (85) Other (including NOS) 2 (15)Only EGFR mutated tumors
Aukema et al[21]201023638/15ProspectiveAfter 7 dI-IIIAdenocarcinoma 17 (73) Other 6 (26)No selection
Mileshkin et al[11]2011516130/21ProspectiveAfter 14 d and 56 dIII - IVAdenocarcinoma 37 (72) Squamous cell carcinoma 8 (16) Large-cell carcinoma 1 (2) Other (including NOS) 5 (10)No selection
Zander et al[22]2011346117/17ProspectiveAfter 7 d and 42 dIVAdenocarcinoma 26 (76) Squamous cell carcinoma 4 (12) Large cell carcinoma 1 (3) Bronchioloalveolar carcinoma 3 (9)No selection
Benz et al[23]201122646/16ProspectiveAfter 14 d and 78 dIII - IVAdenocarcinoma 17 (78) Squamous cell carcinoma 3 (14) Other (including NOS) 1 (4) Large cell carcinoma 1 (4)No selection
O'Brien et al[24]2012476318/29ProspectiveAfter 42 dIII - IVAdenocarcinoma 28 (60) Squamous cell carcinoma 6 (13) Bronchioalveolar carcinoma 7 (14) Other (including NOS) 6 (13)No selection
Takahashi et al[25]201220695/15ProspectiveAfter 2 d and 28 dIII - IVAdenocarcinoma 20 (100)No selection
RESEARCH

During the search period, a total of 20 articles of potential interest have been screened for 18F-FDG-PET/CT response evaluation during EGFR-TKI treatment in patients with NSCLC. Of these, 13 were excluded because they did not meet the defined inclusion criteria. In total, data of 210 patients were eligible for analyses[11,20-25]. The characteristics of eligible studies are summarised in Table 1.

FDG-PET/CT and response

The majority of studies used European Organization for Research and Treatment of Cancer (EORTC) criteria to determine response[26] (Tables 2 and 3). Cut-off values to determine response varied from 15% to 30% change in SUVmax between baseline and response FDG-PET/CT scan. Median cut-off value was 15%. Time between initiation of EGFR-TKI therapy and response FDG-PET/CT scan varied from 2-78 d[11,14,20-25].

Table 2 Early [18F]-fluorodeoxyglucose positron emission tomography acquired together with low dose computed tomography reponse results \< 21 d.
Ref.Year ofpublicationnSUVResponsecriteriaFDG response timeCut-offvalueFDG response, n (%)FDG-PET/CT vs RECISTPFSOS
Riely et al[20]200713MaxEORTC21 d15%PR 6 (46) SD 7 (54)
Aukema et al[21]201022MaxEORTC7 d25%PR 6 (26) SD 16 (70) PD 1 (4)
Mileshkin et al[11]201151MaxEORTC14 d15%PR 13 (26) SD 17 (33) PD 21 (41)FDG PR: PR 4 SD 7 PD 2 FDG SD: PR 0 SD 12 PD 5 FDG PD: PR 0 SD 7 PD 14R 5.5 mo NR 2.5 moR 11.6 mo NR 7.6 mo
Zander et al[22]201134PeakEORTC7 d30%PR 8 (24) SD/PD 26 (76)FDG PR: PR/SD 6 PD 2 FDG SD/PD: PR/SD 5 PD 21R 7.8 mo NR 1.5 moR 16.1mo NR 3.4mo
Benz et al[23]201122MaxPRECIST14 d30%PR 6 (27) SD 7 (32) PD 9 (41)R 11.1 mo NR 2.4 moR 16.4 mo NR 14.7 mo
Takahashi et al[25]201220MaxEORTC2 d25%PR 10 (50) SD 8 (40) PD 2 (10)FDG PR: PR 8 SD 2 PD 0 FDG SD: PR 2 SD 5 PD 1 FDG PD: PR 0 SD 1 PD 1R 10.4 mo NR 1.7 mo
Table 3 Late [18F]-fluorodeoxyglucose positron emission tomography acquired together with low dose computed tomography response > 21 d.
Ref.Year ofpublicationnSUVResponsecriteriaCut-offvalueFDG response timeFDG Responsen (%)FDG-PET vs RECISTPFSOS
Mileshkin et al[11]201151MaxEORTC15%56 dPR 8 (16) SD 12 (23) PD 31 (61)FDG PR: PR 4 SD 4 PD 0 FDG SD: PR 0 SD 11 PD 1 FDG PD: PR 0 SD 11 PD 20R 6.5 mo NR 2.7 moR 11.9 mo NR 7.6 mo
Zander et al[22]201134PeakEORTC42 dn/an/a
Benz et al[23]201122MaxPRECIST78 dn/an/a
O'Brien et al[24]201247MaxEORTC25%42 dPR 15 (32) SD 8 (17) PD 15 (32) NE 9 (19)FDG PR: PR 11 SD 2 PD 2 FDG SD: PR 0 SD 4 PD 4 FDG PD: PR 0 SD 2 PD 7
Takahashi et al[25]201220MaxEORTC28 dn/an/a
FDG-PET/CT vs diagnostic CT

Four studies analysed FDG-PET and CT according to Response Evaluation Criteria in Solid Tumors (RECIST) criteria for response (Tables 2 and 3). There was a large variety in days between initiation of EGFR-TKI therapy and response FDG-PET/CT scan (2-56 d) and response CT scan (28-84 d). However all studies showed that FDG-PET response correlated with CT response. The majority of patients with response on FDG-PET/CT scan also showed response on CT-scan. In addition, zero patients with progressive disease on FDG-PET/CT scan had a response on CT-scan[11,14,22,24,25].

FDG-PET/CT and progression free survival

Four studies reported on progression free survival (PFS)[11,22,23,25] (Tables 2 and 3). In general, patients with metabolic response showed a prolonged progression free survival varying from 3.0 to 8.7 mo. Mileshkin et al[11] showed that response at FDG-PET/CT on day 14 was associated with improved PFS using EORTC criteria and Wahl et al[27] using Response Criteria in Solid Tumors (PERCIST). In addition Zander et al[22] reported the same association on day 7. Takahashi et al[25] found no significant relation at 2 d using a cut-off value of 30%, however when a cutoff value of 20% was used, metabolic responders had significantly longer PFS compared with metabolic non-responders.

FDG-PET/CT and overall survival

Five studies reported on metabolic response and overall survival (OS)[11,22-25] (Tables 2 and 3). Metabolic response was associated with improved OS. Both Mileshkin et al[11] and Zander et al[22] reported early FDG-PET/CT response (resp. 14 d, 7 d) to be significantly associated with longer OS. Metabolic response as shown during later FDG-PET/CT evaluation (resp. 56 d, 42 d) was also associated with longer survival, although this trend was not statistically significant. Similarly O’ Brien et al[24] reported that responders on FDG-PET/CT scan at 42 d lived longer than patients with metabolic stable disease. Takahashi et al did not find significant survival differences between metabolic responders and non-responders.

FDG-PET/CT EGFR

Forty-eight patients (23%) had an EGFR mutant tumor (Table 4). In one study patients were selected based on EGFR mutation. As shown before, patients with an EGFR mutant tumor were more likely to respond to EGFR therapy and thus to have response on FDG-PET[11,23,25].

Table 4 Epidermal growth factor receptor.
Ref.Year of publicationnEGFR selectionEGFR mutation (n)Cut-off valueFDGPFS
Riely et al[20]200713Only EGFR mutated tumors8n/a
Aukema et al[21]201022No selection425%
Milishkin et al[11]201151No selection4> 15%EGFR + PR 3 PD 2 SD 0 EGFR - PR SD PD
Zander et al[22]201134No selection4EGFR + 6.4 mo EGFR - 1.6 mo
Benz et al[23]201122No selection5
O'Brien et al[24]201247No selection11
Takahashi et al[25]201220No selection12EGFR+ PR 8 SD 3 PD 1 EGFR- PR SD PD
DISCUSSION

This review summarizes the available data regarding the potential of FDG-PET/CT to predict or monitor treatment efficacy and the relation of metabolic data to clinical outcome in NSCLC patients who are treated with EGFR-TKIs. Our report shows that FDG-PET/CT response during EGFR-TKI therapy is associated with clinical and radiologic response and with survival. FDG-PET shows informative results as early as 7-14 d after initiation of treatment .

This report includes a heterogeneous group of NSCLC subtypes. Over time, it has been come clear that adenocarcinomas are more likely to respond to EGFR-TKI treatment[28]. However, histological classification of squamous-cell and adenocarcinoma is challenging[29]. This difficulty increases in the preoperative setting where attempts at tumor classification in small diagnostic samples are hampered by the paucity of tumor cells and the absence of tissue architecture[30]. Although the efficacy of EGFR–TKIs is higher in patients with EGFR-mutated tumors, prediction of response is not optimal by mutation analysis only. It is known, that several patients without sensitizing EGFR mutations do benefit from EGFR-TKI therapy. This may be due to heterogeneity within the tumor and biopsies will not always show relevant mutations[31]. Tumor response monitoring is of value since unnecessary toxicity and additional cost of administering ineffective treatment can be avoided, especially if monitoring is feasible and informative early during treatment.

For categorization of metabolic response, varying response criteria were used (EORTC, PRECIST). Different cut-off values were used between studies, resulting in suboptimal comparison. However overall, results suggest that any significant metabolic response on FDG-PET/CT is associated with radiologic response later on and longer survival. For example, Mileshkin et al[11] and Benz et al[23] show similar distributions of response relations using different cut-off values 15% vs 30% and different response criteria. As natural variability (repeatability) of FDG-PET is also relevant for implementation of response assessment, lower cut-off values (15%-20%) may increase false positive results for identification of response[9].

Furthermore there is no consensus regarding the optimal timing in performing FDG-PET/CT after initiation of treatment. Several authors suggest that in advanced NSCLC metabolic response on FDG-PET/CT scan as early as 1-2 wk after chemotherapy can predict progression free survival and overall survival17,26-29]. In this review with studies on EGFR-TKI’s, Mileshkin et al[11] and Zander et al[22] found significant associations of early response (day 14, day 7) with survival data. Other authors report the same trend. However, changing FDG-uptake on PET (early) during treatment may reflect all kinds of tissue reactions, as tumor regression (or progression) but also senescence, fibrosis formation, and inflammatory reactions as macrophage infiltration.

Several authors in this report use RECIST criteria as golden standard for response evaluation. However early diagnostic CT for response evaluation in EGFR-TKI therapy has severe limitations. EGFR-TKI therapy is expected to induce response via cytostasis rather than objective morphologic response[32]. RECIST is further confounded by structural abnormalities, before and after treatment, which may not actually contain tumor[33]. In this report all early FDG-PET-CT responses were associated with CT responses (according to RECIST), when CT was performed after a period of 28-84 d presuming that morphologic response have took place[11,22,24,25].

Presumably, in patients with NSCLC treated with EGFR-TKI’s, the potential value of FDG-PET/CT response monitoring is best described by its possibilities of early response identification. If metabolic response does not occur within the first weeks of EGFR-TKI treatment, patients may be spared (further) unnecessary toxicity of ineffective treatment. Furthermore, even disregarding EGFR mutation, metabolic response during EGFR-TKI treatment is associated with favorable (progression free) survival[11,22-25].

Concluding, our report shows that response monitoring using FDG-PET/CT has potential in targeted treatment for NSCLC and can be performed as early as 1-2 wk after initiation of treatment. Patients with substantial decrease of metabolic activity during EGFR-TKI treatment will probably benefit from continued treatment. Refining FDG-PET response criteria may help the clinician to decide on continuation or discontinuation of targeted treatment.

Footnotes

P- Reviewer: Rosell R S- Editor: Wen LL L- Editor: A E- Editor: Lu YJ

References
1.  Lardinois D, Weder W, Hany TF, Kamel EM, Korom S, Seifert B, von Schulthess GK, Steinert HC. Staging of non-small-cell lung cancer with integrated positron-emission tomography and computed tomography. N Engl J Med. 2003;348:2500-2507.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1065]  [Cited by in F6Publishing: 924]  [Article Influence: 44.0]  [Reference Citation Analysis (0)]
2.  Antoch G, Stattaus J, Nemat AT, Marnitz S, Beyer T, Kuehl H, Bockisch A, Debatin JF, Freudenberg LS. Non-small cell lung cancer: dual-modality PET/CT in preoperative staging. Radiology. 2003;229:526-533.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 411]  [Cited by in F6Publishing: 437]  [Article Influence: 20.8]  [Reference Citation Analysis (0)]
3.  van Tinteren H, Smit EF, Hoekstra OS. FDG-PET in addition to conventional work-up in non-small-cell lung cancer. J Clin Oncol. 2005;23:1591; author reply 1591-1592.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 6]  [Cited by in F6Publishing: 6]  [Article Influence: 0.3]  [Reference Citation Analysis (0)]
4.  Dose SJ, Bader M, Jenicke L, Hemminger G, Janicke F, Avril N. Early prediction of response to chemotherapy in metastatic breast cancer using sequential 18F-FDG PET. J Nucl Med. 2005;46:1144-1150.  [PubMed]  [DOI]  [Cited in This Article: ]
5.  Smith IC, Welch AE, Hutcheon AW, Miller ID, Payne S, Chilcott F, Waikar S, Whitaker T, Ah-See AK, Eremin O. Positron emission tomography using [F-18]-fluorodeoxy-D-glucose to predict the pathologic response of breast cancer to primary chemotherapy. J Clin Oncol. 2000;18:1676-1688.  [PubMed]  [DOI]  [Cited in This Article: ]
6.  MacManus MP, Seymour JF, Hicks RJ. Overview of early response assessment in lymphoma with FDG-PET. Cancer Imaging. 2007;7:10-18.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 61]  [Cited by in F6Publishing: 66]  [Article Influence: 3.9]  [Reference Citation Analysis (0)]
7.  Terasawa T, Lau J, Bardet S, Couturier O, Hotta T, Hutchings M, Nihashi T, Nagai H. Fluorine-18-fluorodeoxyglucose positron emission tomography for interim response assessment of advanced-stage Hodgkin’s lymphoma and diffuse large B-cell lymphoma: a systematic review. J Clin Oncol. 2009;27:1906-1914.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 196]  [Cited by in F6Publishing: 215]  [Article Influence: 14.3]  [Reference Citation Analysis (0)]
8.  de Geus-Oei LF, van Laarhoven HW, Visser EP, Hermsen R, van Hoorn BA, Kamm YJ, Krabbe PF, Corstens FH, Punt CJ, Oyen WJ. Chemotherapy response evaluation with FDG-PET in patients with colorectal cancer. Ann Oncol. 2008;19:348-352.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 84]  [Cited by in F6Publishing: 92]  [Article Influence: 5.4]  [Reference Citation Analysis (0)]
9.  Hoekstra CJ, Stroobants SG, Smit EF, Vansteenkiste J, van TH, Postmus PE, Golding RP, Biesma B, Schramel FJ, van ZN. Prognostic relevance of response evaluation using [18F]-2-fluoro-2-deoxy-D-glucose positron emission tomography in patients with locally advanced non-small-cell lung cancer. J Clin Oncol. 2005;23:8362-8370.  [PubMed]  [DOI]  [Cited in This Article: ]
10.  Tanvetyanon T, Eikman EA, Sommers E, Robinson L, Boulware D, Bepler G. Computed tomography response, but not positron emission tomography scan response, predicts survival after neoadjuvant chemotherapy for resectable non-small-cell lung cancer. J Clin Oncol. 2008;26:4610-4616.  [PubMed]  [DOI]  [Cited in This Article: ]
11.  Mileshkin L, Hicks RJ, Hughes BG, Mitchell PL, Charu V, Gitlitz BJ, Macfarlane D, Solomon B, Amler LC, Yu W. Changes in 18F-fluorodeoxyglucose and 18F-fluorodeoxythymidine positron emission tomography imaging in patients with non-small cell lung cancer treated with erlotinib. Clin Cancer Res. 2011;17:3304-3315.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 104]  [Cited by in F6Publishing: 112]  [Article Influence: 8.6]  [Reference Citation Analysis (0)]
12.  Shepherd FA, Rodrigues Pereira J, Ciuleanu T, Tan EH, Hirsh V, Thongprasert S, Campos D, Maoleekoonpiroj S, Smylie M, Martins R. Erlotinib in previously treated non-small-cell lung cancer. N Engl J Med. 2005;353:123-132.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4223]  [Cited by in F6Publishing: 4147]  [Article Influence: 218.3]  [Reference Citation Analysis (0)]
13.  Johnson JR, Cohen M, Sridhara R, Chen YF, Williams GM, Duan J, Gobburu J, Booth B, Benson K, Leighton J. Approval summary for erlotinib for treatment of patients with locally advanced or metastatic non-small cell lung cancer after failure of at least one prior chemotherapy regimen. Clin Cancer Res. 2005;11:6414-6421.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 161]  [Cited by in F6Publishing: 172]  [Article Influence: 9.1]  [Reference Citation Analysis (0)]
14.  Paez JG, Jänne PA, Lee JC, Tracy S, Greulich H, Gabriel S, Herman P, Kaye FJ, Lindeman N, Boggon TJ. EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy. Science. 2004;304:1497-1500.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 7278]  [Cited by in F6Publishing: 7316]  [Article Influence: 365.8]  [Reference Citation Analysis (0)]
15.  Lynch TJ, Bell DW, Sordella R, Gurubhagavatula S, Okimoto RA, Brannigan BW, Harris PL, Haserlat SM, Supko JG, Haluska FG. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med. 2004;350:2129-2139.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8739]  [Cited by in F6Publishing: 8572]  [Article Influence: 428.6]  [Reference Citation Analysis (0)]
16.  Lara-Guerra H, Waddell TK, Salvarrey MA, Joshua AM, Chung CT, Paul N, Boerner S, Sakurada A, Ludkovski O, Ma C. Phase II study of preoperative gefitinib in clinical stage I non-small-cell lung cancer. J Clin Oncol. 2009;27:6229-6236.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 70]  [Cited by in F6Publishing: 75]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
17.  Yu J, Kane S, Wu J, Benedettini E, Li D, Reeves C, Innocenti G, Wetzel R, Crosby K, Becker A. Mutation-specific antibodies for the detection of EGFR mutations in non-small-cell lung cancer. Clin Cancer Res. 2009;15:3023-3028.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 183]  [Cited by in F6Publishing: 201]  [Article Influence: 13.4]  [Reference Citation Analysis (0)]
18.  Kawahara A, Yamamoto C, Nakashima K, Azuma K, Hattori S, Kashihara M, Aizawa H, Basaki Y, Kuwano M, Kage M. Molecular diagnosis of activating EGFR mutations in non-small cell lung cancer using mutation-specific antibodies for immunohistochemical analysis. Clin Cancer Res. 2010;16:3163-3170.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 92]  [Cited by in F6Publishing: 99]  [Article Influence: 7.1]  [Reference Citation Analysis (0)]
19.  Gridelli C, De Marinis F, Di Maio M, Cortinovis D, Cappuzzo F, Mok T. Gefitinib as first-line treatment for patients with advanced non-small-cell lung cancer with activating Epidermal Growth Factor Receptor mutation: implications for clinical practice and open issues. Lung Cancer. 2011;72:3-8.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 38]  [Article Influence: 2.9]  [Reference Citation Analysis (0)]
20.  Riely GJ, Kris MG, Zhao B, Akhurst T, Milton DT, Moore E, Tyson L, Pao W, Rizvi NA, Schwartz LH. Prospective assessment of discontinuation and reinitiation of erlotinib or gefitinib in patients with acquired resistance to erlotinib or gefitinib followed by the addition of everolimus. Clin Cancer Res. 2007;13:5150-5155.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 221]  [Cited by in F6Publishing: 247]  [Article Influence: 14.5]  [Reference Citation Analysis (0)]
21.  Aukema TS, Kappers I, Olmos RA, Codrington HE, van Tinteren H, van Pel R, Klomp HM. Is 18F-FDG PET/CT useful for the early prediction of histopathologic response to neoadjuvant erlotinib in patients with non-small cell lung cancer? J Nucl Med. 2010;51:1344-1348.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 66]  [Cited by in F6Publishing: 70]  [Article Influence: 5.0]  [Reference Citation Analysis (0)]
22.  Zander T, Scheffler M, Nogova L, Kobe C, Engel-Riedel W, Hellmich M, Papachristou I, Toepelt K, Draube A, Heukamp L. Early prediction of nonprogression in advanced non-small-cell lung cancer treated with erlotinib by using [(18)F]fluorodeoxyglucose and [(18)F]fluorothymidine positron emission tomography. J Clin Oncol. 2011;29:1701-1708.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 143]  [Cited by in F6Publishing: 141]  [Article Influence: 10.8]  [Reference Citation Analysis (0)]
23.  Benz MR, Herrmann K, Walter F, Garon EB, Reckamp KL, Figlin R, Phelps ME, Weber WA, Czernin J, Allen-Auerbach MS. (18)F-FDG PET/CT for monitoring treatment responses to the epidermal growth factor receptor inhibitor erlotinib. J Nucl Med. 2011;52:1684-1689.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 68]  [Cited by in F6Publishing: 78]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
24.  O’Brien ME, Myerson JS, Coward JI, Puglisi M, Trani L, Wotherspoon A, Sharma B, Cook G, Ashley S, Gunapala R. A phase II study of ¹⁸F-fluorodeoxyglucose PET-CT in non-small cell lung cancer patients receiving erlotinib (Tarceva); objective and symptomatic responses at 6 and 12 weeks. Eur J Cancer. 2012;48:68-74.  [PubMed]  [DOI]  [Cited in This Article: ]
25.  Takahashi R, Hirata H, Tachibana I, Shimosegawa E, Inoue A, Nagatomo I, Takeda Y, Kida H, Goya S, Kijima T. Early [18F]fluorodeoxyglucose positron emission tomography at two days of gefitinib treatment predicts clinical outcome in patients with adenocarcinoma of the lung. Clin Cancer Res. 2012;18:220-228.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 72]  [Cited by in F6Publishing: 77]  [Article Influence: 5.9]  [Reference Citation Analysis (0)]
26.  Young H, Baum R, Cremerius U, Herholz K, Hoekstra O, Lammertsma AA, Pruim J, Price P. Measurement of clinical and subclinical tumour response using [18F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. Eur J Cancer. 1999;35:1773-1782.  [PubMed]  [DOI]  [Cited in This Article: ]
27.  Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: Evolving Considerations for PET response criteria in solid tumors. J Nucl Med. 2009;50 Suppl 1:122S-150S.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2417]  [Cited by in F6Publishing: 2584]  [Article Influence: 172.3]  [Reference Citation Analysis (0)]
28.  Besse B, Ropert S, Soria JC. Targeted therapies in lung cancer. Ann Oncol. 2007;18 Suppl 9:ix135-ix142.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 34]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
29.  Stang A, Pohlabeln H, Müller KM, Jahn I, Giersiepen K, Jöckel KH. Diagnostic agreement in the histopathological evaluation of lung cancer tissue in a population-based case-control study. Lung Cancer. 2006;52:29-36.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 63]  [Cited by in F6Publishing: 66]  [Article Influence: 3.7]  [Reference Citation Analysis (0)]
30.  Field RW, Smith BJ, Platz CE, Robinson RA, Neuberger JS, Brus CP, Lynch CF. Lung cancer histologic type in the surveillance, epidemiology, and end results registry versus independent review. J Natl Cancer Inst. 2004;96:1105-1107.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 88]  [Cited by in F6Publishing: 92]  [Article Influence: 4.6]  [Reference Citation Analysis (0)]
31.  Soria JC, Mok TS, Cappuzzo F, Jänne PA. EGFR-mutated oncogene-addicted non-small cell lung cancer: current trends and future prospects. Cancer Treat Rev. 2012;38:416-430.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 85]  [Cited by in F6Publishing: 99]  [Article Influence: 7.6]  [Reference Citation Analysis (0)]
32.  Tuma RS. Sometimes size doesn’t matter: reevaluating RECIST and tumor response rate endpoints. J Natl Cancer Inst. 2006;98:1272-1274.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 76]  [Cited by in F6Publishing: 84]  [Article Influence: 4.7]  [Reference Citation Analysis (0)]
33.  Vansteenkiste J, Fischer BM, Dooms C, Mortensen J. Positron-emission tomography in prognostic and therapeutic assessment of lung cancer: systematic review. Lancet Oncol. 2004;5:531-540.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 170]  [Cited by in F6Publishing: 173]  [Article Influence: 8.7]  [Reference Citation Analysis (0)]