Literature DB >> 23468851

EGFR mutation testing in patients with advanced non-small cell lung cancer: a comprehensive evaluation of real-world practice in an East Asian tertiary hospital.

Yoon-La Choi1, Jong-Mu Sun, Juhee Cho, Sanjay Rampal, Joungho Han, Bhash Parasuraman, Eliseo Guallar, Genehee Lee, Jeeyun Lee, Young Mog Shim.   

Abstract

INTRODUCTION: Guidelines for management of non-small cell lung cancer (NSCLC) strongly recommend EGFR mutation testing. These recommendations are particularly relevant in Asians that have higher EGFR mutation prevalence. This study aims to explore current testing practices, logistics of testing, types of EGFR mutation, and prevalence of EGFR mutations in patients with advanced NSCLC in a large comprehensive cancer center in Korea.
METHODS: Our retrospective cohort included 1,503 NSCLC patients aged ≥18 years, with stage IIIB/IV disease, who attended the Samsung Medical Center in Seoul, Korea, from January 2007 through July 2010. Trained oncology nurses reviewed and abstracted data from electronic medical records.
RESULTS: This cohort had a mean age (SD) of 59.6 (11.1) years, 62.7% were males, and 52.9% never-smokers. The most common NSCLC histological types were adenocarcinoma (70.5%) and squamous cell carcinoma (18.0%). Overall, 39.5% of patients were tested for EGFR mutations. The proportion of patients undergoing EGFR testing during January 2007 through July 2008, August 2008 through September 2009, and October 2009 through July 2010 were 23.3%, 38.3%, and 63.5%, respectively (P<0.001). The median time elapsed between cancer diagnoses and receiving EGFR testing results was 21 days. EGFR testing was most frequently ordered by oncologists (57.7%), pulmonologists (31.9%), and thoracic surgeons (6.6%). EGFR testing was more commonly requested for women, younger patients, stage IV disease, non-smokers, and adenocarcinoma histology. Of 586 cases successfully tested for EGFR mutations, 209 (35.7%) were positive, including 118 cases with exon 19 deletions and 62 with L858R mutations. EGFR mutation positive patients were more likely to be female, never-smokers, never-drinkers and to have adenocarcinoma.
CONCLUSIONS: In a large cancer center in Korea, the proportion of EGFR testing increased from 2007 through 2010. The high frequency of EGFR mutation positive cases warrants the need for generalized testing in Asian NSCLC patients.

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Year:  2013        PMID: 23468851      PMCID: PMC3585299          DOI: 10.1371/journal.pone.0056011

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

In non-small-cell lung cancer (NSCLC), the increased responsiveness of epidermal growth factor receptor (EGFR) mutation positive cases to EGFR-tyrosine kinase inhibitors, such as gefitinib or erlotinib, represents a landmark finding towards personalized lung cancer care [1]–[6]. Indeed, since early 2011, the American Society of Clinical Oncology (ASCO) and the National Comprehensive Cancer Network (NCCN) recommend EGFR mutation testing for patients with advanced non-squamous NSCLC [7], [8]. EGFR mutation positive NSCLC cases are more common in Asian compared to Western patients, heightening the need for testing all NSCLC patients. In routine clinical practice, however, EGFR mutation testing requires substantial resources and effort, including availability of qualified pathologists and molecular biologists, effective clinical coordination, physician and patient time, and associated costs. In addition, tissue samples may be unavailable or insufficient for testing [9], and there may be additional organizational barriers to widespread implementation of EGFR testing. Although EGFR testing is becoming more common, there have been few systematic assessments of performance practices of EGFR mutation testing in real-world clinical settings. The objective of this study was to explore current testing practices and prevalence of EGFR in patients with advanced NSCLC in a large comprehensive cancer center in Korea, and to describe the types and logistics for EGFR mutation testing, including where the tests were conducted and the delay between requesting and reporting test results.

Methods

Study Design and Patients

We conducted a retrospective cohort study of all stage IIIB and IV NSCLC patients with confirmed histologic or pathologic diagnosis admitted to the Samsung Medical Center (Seoul, Korea) from January 2007 through July 2010 for the diagnosis or treatment of NSCLC (N = 1,503). The study was approved by the Institutional Review Board of the Samsung Medical Center. The requirement of informed consent was waived, as the study was based on existing administrative and clinical data.

Data Collection

Study data were abstracted, using in-hospital charts and electronic medical records, by trained experienced nurses from the Departments of Medical Oncology, Surgical Oncology, Laboratory Medicine, Pathology, and Nursing at the Samsung Medical Center. Baseline clinical characteristics included gender, age at diagnosis, smoking history, alcohol consumption status, date of diagnosis of advanced lung cancer, tumor histology, tumor stage, and ambulatory status at diagnostic work-up. Tumor stage was defined according to the sixth edition of the American Joint Committee on Cancer (AJCC). Regarding performance practices for EGFR mutation test, we obtained the request history and date, report date, and test results including type of EGFR mutation. Smoking history and alcohol consumption status were based on self-reported questionnaires. Never smokers were defined as patients who smoked <100 cigarettes over their life-time. Former smokers were patients who had smoked ≥100 cigarettes in their lifetime but had stopped smoking for at least 1 year before the diagnosis of lung cancer. Never drinkers were patients who had never consumed any alcohol in their lifetime.

EGFR Mutation Testing

EGFR mutation testing was performed by ISU ABXIS Co. (Seoul, Korea), an independent commercial laboratory, before August 2008, and by the Department of Pathology at the Samsung Medical Center thereafter. The mutational analyses of EGFR (exons 18–21) were performed by directional sequencing of polymerase chain reaction (PCR) fragments amplified with genomic DNA from paraffin-embedded tissue. PCR was performed in a 20 µL volume containing 100 ng of template DNA, 10 x PCR buffer; 0.25 mM dNTPs, 10 pmol primers and 1.25 U Taq DNA polymerase (iNtRON, Korea). PCR products were electrophoresed on 2% agarose gels and were purified with a QIAquick PCR purification kit (QIAGEN, Hilden, Germany). Bidirectional sequencing was performed using the BigDye Terminator v 1.1 kit (Applied Biosystems, Foster City, CA, USA) on an ABI 3130xl genetic analyzer (Applied Biosystems, Foster City, CA, USA).

Statistical Analyses

We used means and standard deviations (SD) to summarize symmetrically distributed variables, medians and interquartile ranges to summarize skewed variables, and counts and percentages to summarize categorical variables. Differences in proportions and medians were statistically tested using χ2 square and Kruskal Wallis tests, respectively. The determinants of requesting EGFR mutation testing in the overall patient population, and the determinants of a positive test among patients who were tested, were evaluated using Poisson regression with robust standard errors. The prevalence ratios for requesting EGFR mutation testing were adjusted for gender, age at diagnosis (categorized as <65 and ≥65 years), smoking status (categorized as current, former, and never smokers), mobility at admission (categorized as wheelchair/bed and ambulatory), disease stage (categorized as stage IIIB and IV), tumor histology, (categorized as squamous cell carcinoma, adenocarcinoma, and other histology) and period of admission (categorized as 2007/01–2008/07, 2008/08–2009/09, and 2009/10–2010/07). The prevalence ratios for positive EGFR mutation status were adjusted for gender, age at diagnosis, smoking status, and tumor histology. Statistical analyses were performed using Stata statistical software version 12. Two-sided p values<0.05 were considered statistically significant.

Results

Patient Population

The mean age (SD) of the 1,503 patients was 59.6 (11.1) years, 62.7% were males and most were of Korean ethnicity (99.3%) (Table 1). At the time of admission for diagnostic work-up, 36.6% of patients were current smokers and 81.1% were able to walk in. Most patients (70.9%) had stage IV NSCLC with 651 (43.3%) patients having metastasis to multiple sites. Common metastatic sites were bone (43.3%), lung (39.1%), brain (25.1%), and liver (10.8%). The most common histology was adenocarcinoma (70.5%), followed by squamous cell carcinoma (18.0%). Diagnostic methods included chest x-ray (100%), chest computed tomography (100%), PET (82.0%), MRI (81.0%), bronchoscopy (62.5%), and bone scan (20.2%).
Table 1

Baseline characteristics of study patients.

CharacteristicsNumber (%) or mean (SD)
All patients EGFR mutation positive EGFR mutation negative EGFR mutation unknownP
N = 1,503N = 209N = 366N = 928
Mean age, years59.6 (11.1)56.5 (11.0))58.5 (11.1)60.7 (10.9)<0.001
Gender<0.001
Male943 (62.7)87 (41.6)214 (58.5)642 (69.2)
Female560 (37.3)122 (58.4)152 (41.5)286 (30.8)
Ethnicity0.87
Korean1492 (99.3)208 (99.5)362 (98.9)922 (99.4)
Caucasian9 (0.6)1 (0.5)3 (0.8)5 (0.5)
Other Asians2 (0.1)0 (0.0)1 (0.3)1 (0.1)
Smoking history<0.001
Never697 (52.9)131 (69.3)181 (53.4)385 (48.7)
Former (Stopped for >1 year)138 (10.5)21 (11.1)45 (13.3)72 (9.1)
Current483 (36.6)37 (19.6)113 (33.3)333 (42.2)
Alcohol consumption0.019
Never787 (59.8)130 (68.8)186 (54.9471 (59.7)
Former (Stopped for ≥3 months)75 (5.7)5 (2.6)20 (5.9)50 (6.3)
Current455 (34.5)54 (28.6)133 (39.2)268 (34.0)
Stage0.003
IIIB438 (29.1)41 (19.6)104 (28.4)293 (31.6)
IV1065 (70.9)168 (80.4)262 (71.6)635 (68.4)
Tumor histology<0.001
Adenocarcinoma1059 (70.5)200 (95.7)287 (78.4)572 (61.6)
Squamous cell carcinoma270 (18.0)6 (2.9)48 (13.1)216 (23.3)
Others174 (11.6)3 (1.4)31 (8.5)140 (15.1)
Mobility at admission for initial diagnosis0.02
Ambulatory1071 (81.1)164 (86.8)280 (82.1)627 (79.3)
On a wheelchair114 (8.6)16 (8.5)32 (9.4)66 (8.3)
On a bed136 (10.3)9 (4.8)29 (8.5)98 (12.4)

The number (%) of patients with missing data were 185 (12.3%) for smoking, 186 (12.4%) for alcohol consumption, and 182 (12.1%) for mobility at admission for initial diagnosis.

The number (%) of patients with missing data were 185 (12.3%) for smoking, 186 (12.4%) for alcohol consumption, and 182 (12.1%) for mobility at admission for initial diagnosis.

Performance of EGFR Mutation Testing

A total of 593 (39.5%) patients were referred for EGFR mutation test. Mutations in exons 18 to 21 could not be tested in seven cases, resulting in 586 patients (39.0%) successfully tested. An additional 11 patients, not tested for both exon 19 and 21 mutations, were classified as EGFR mutation-unknown. This is because two typical activating mutations (in-frame deletion and L858R mutation) are located in exons 19 and 21, respectively. EGFR mutation status was available for 575 (38.3%) patients. The median time elapsed between histologic diagnosis of NSCLC and ordering EGFR mutation testing was 21 days (interquartile range [IQR], 12–56 days). Women, former smokers, those with better mobility when admitted for diagnostic work-up, and those with stage IV disease or adenocarcinoma histology were significantly more likely to have EGFR mutation testing requested (Table 2). To evaluate temporal trends in EGFR mutation testing, we divided the study in 3 periods: from January 2007 through July 2008 (EGFR testing was requested to an outside laboratory during this period), from August 2008 through September 2009 (publication of the IPASS trial [2]), and from October 2009 through July 2010. The proportions of patients referred for EGFR mutation testing in each of these periods were 23.3%, 38.3%, and 63.5%, respectively (P<0.001). EGFR testing was most commonly ordered by oncologists (57.7%) and pulmonologists (31.9%), followed by thoracic surgeons (6.6%).
Table 2

Prevalence ratios (95% confidence intervals) for request of EGFR mutation testing by patient characteristics.

CharacteristicsNNo. of request (%)Crude Prevalence Ratio (95%CI)PAdjusted Prevalence Ratio* (95% CI)P
Gender
Male943311 (33.0)1.001.00
Female560282 (50.4)1.53 (1.35–1.73)<0.0011.32 (1.11–1.56)0.001
Age at Diagnosis
≥65 yrs542175 (32.3)1.001.00
<65 yrs961418 (43.5)1.35 (1.17–1.55)<0.0011.13 (0.98–1.29)0.09
Smoking Status
Current smoker483156 (32.3)1.001.00
Former smoker13868 (49.3)1.53 (1.23–1.89)<0.0011.22 (1.01–1.48)0.04
Never smoker697322 (46.2)1.43 (1.23–1.67)<0.0011.08 (0.89–1.29)0.45
Mobility at admission for initial diagnosis
Wheelchair/bed25089 (35.6)1.001.00
Ambulatory1071459 (42.9)1.20 (1.00–1.44)0.041.24 (1.05–1.47)0.013
Stage
IIIB438149 (34.0)1.001.00
IV1065444 (41.7)1.23 (1.06–1.42)0.0071.25 (1.09–1.44)0.002
Histology
Squamous cell carcinoma27057 (21.1)1.001.00
Adenocarcinoma1059502 (47.4)2.25 (1.77–2.85)<0.0011.90 (1.50–2.41)<0.001
Other Histology17434 (19.5)0.93 (0.63–1.35)0.690.92 (0.63–1.34)0.67
Period of admission
2007/01–2008/07562131 (23.3)1.001.00
2008/08–2009/09538206 (38.3)1.64 (1.37–1.98)<0.0011.61 (1.34–1.93)<0.001
2009/10–2010/07403256 (63.5)2.73 (2.31–3.22)<0.0012.57 (2.16–3.06)<0.001

Multivariate analysis included 1,315 patients, and adjusted for gender, age at diagnosis, smoking status, mobility at admission, disease stage, tumor histology, and period of admission.

Multivariate analysis included 1,315 patients, and adjusted for gender, age at diagnosis, smoking status, mobility at admission, disease stage, tumor histology, and period of admission. Among patients referred for EGFR mutation testing prior to August 2008, between August 2008 and September 2009, and after September 2009, the median times (IQR) from diagnosis to EGFR testing request were 31 (16–374), 23 (14–117), and 16 days (9–29.5), respectively (P<0.001) and the median times from lung cancer diagnosis to EGFR mutation report were 49 (30–416), 35 (23–131), and 32 days (23–49), respectively (P<0.001). Among adenocarcinomas, the prevalence of EGFR positive tumors in each period was 45.5% (N = 51), 38.2% (N = 66) and 41.1% (N = 83), respectively (P = 0.47).

EGFR Mutation Types

Among 575 patients with available EGFR mutation status, 209 (36.3%) were mutation positive (Table 3). Fourteen patients had double mutations, simultaneously or subsequently, in the same (N = 5) or in different exons (N = 9). All mutations in exon 18 (N = 15) were of the missense type, mostly composed of G719A (S or C) and S720F (P). Among mutations in exon 19 (N = 123), 120 were typical in-frame deletions around c.2230–2250, and two and one were insertion and missense types, respectively. Among mutations in exon 20 (N = 18), 8 were of the missense type, 4 were of the insertion type, 3 were of the duplication type, and two were double mutations. All mutations in exon 21 (N = 62) were of the missense types (61 L858R and one L861Q).
Table 3

EGFR mutation types and their distribution.

Distribution of EGFR mutationsNumber of patients (%)
Patients successfully tested586
Patients with available data575
Negative EGFR mutation366
Unknown EGFR mutation 11
Positive EGFR mutation* 209/575 (36.3%)
 Tumor histology
  In Adenocarcinoma203/521(39.0%)
  In Squamous cell carcinoma6/54 (11.1%)
 Exons
  Exon 1815/575 (2.6%)
   G719A6
   G719A and S720F (double)1
   G719S and A721T (double)1
   G719S and E709A (double)1
   G719C1
   S720F2
   S720P2
   F723L1
  Exon 19123/580 (21.2%)
   Deletion120
   Ins TTAAAATTCCCATCGCTG (c.2231–2248)1
   Ins AAAATTCCCGTCGCTATC (c.2232–2233)1
   I744M1
  Exon 2018/574 (3.1%)
   T790M3
   S719I1
   S768I and V774M (double)1
   V786M1
   A776H1
   R776S1
   G796S1
   Ins ACC (c.2314–2316)1
   Ins GTT (c.2309–2311) and P772H (double)1
   Ins AACTCC (c.2317–2322)1
   Ins GCCAGCGTG (c.2308–2309)1
   Ins GGC (c.2313–2314)1
   Del Ins TTCCAGGAAGTC TACGTGATGGA (c. 2291–2300)1
   Dup (nt. 2310–23110)1
   Dup CCAGCGTG (c.2300–2308)1
   Dup CCAGCGTGC (c.2209–2317)1
  Exon 2162/573 (10.8%)
   L858R61
   L861G1

Fourteen patients had double mutation types simultaneously or sequentially.

Patients were classified as EGFR mutation-unknown if they were not tested for both exon 19 and exon 21 mutations.

Fourteen patients had double mutation types simultaneously or sequentially. Patients were classified as EGFR mutation-unknown if they were not tested for both exon 19 and exon 21 mutations.

Relationship between EGFR Mutation Status and Clinical Characteristics

Patients with adenocarcinoma (41.1%) had significantly higher proportions of positive EGFR mutation tests compared to those with squamous cell carcinoma (11.1%) (P<0.001). In crude analyses, women, patients who were younger, never smokers, and those with adenocarcinoma histology were significantly more likely to test positive for EGFR mutations (Table 4). After adjustment, however, only adenocarcinoma histology was significantly associated with positive EGFR mutation (adjusted prevalence ratio = 2.91; 95% CI 1.34–6.32; P = 0.007).
Table 4

Prevalence ratios (95% confidence intervals) for positive EGFR mutation status among 575 patients with available EGFR mutation data.

CovariatesNNo. of positive EGFR mutation n, (%)Crude Prevalence Ratio (95% CI)PAdjusted Prevalence Ratio*(95% CI)P
Gender
Male30187 (28.9%)1.001.00
Female274122 (44.5%)1.54 (1.23–1.92)<0.0011.20 (0.87–1.64)0.26
Age at diagnosis
≥65 yrs16950 (29.6%)1.001.00
<65 yrs406159 (39.2%)1.32 (1.02–1.72)0.0361.25 (0.95–1.64)0.11
Smoking status
Current smoker15037 (24.7%)1.001.00
Former smoker6621 (31.8%)1.29 (0.82–2.02)0.271.36 (0.89–2.07)0.16
Never smoker312131 (42.0%)1.70 (1.25–2.32)0.0011.31 (0.89–1.93)0.17
Histology
Squamous cell carcinoma546 (11.1%)1.001.00
Adenocarcinoma487200 (41.1%)3.70 (1.72–7.92)0.0012.91 (1.34–6.32)0.007
Other histology343 (8.8%)0.79 (0.21–2.97)0.730.51 (0.11–2.35)0.39

Multivariate analysis included 528 patients, and adjusted for gender, age at diagnosis, smoking status, and histology.

Multivariate analysis included 528 patients, and adjusted for gender, age at diagnosis, smoking status, and histology. Among 54 patients with squamous cell carcinoma and available EGFR mutation data, 43 patients were male, 14 were never smokers, and 6 tested positive for EGFR mutations (one double mutation [G719A and S720P] and F723L in exon 18; four typical in-frame deletions in exon 19; and one V786M mutation in exon 20). Three of the six patients with EGFR mutation positive squamous cell carcinoma were never smokers and all of them had typical in-frame deletions in exon 19. The proportion of positive EGFR mutations among never-smokers with squamous cell carcinoma was 16.7% (2/12),

Discussion

In this large real-world cohort of advanced stage NSCLC from a tertiary hospital in Korea, 39.5% of patients were tested for EGFR mutation. The frequency of testing increased over time, such that between October 2009 and July 2010 the proportion of patients referred for testing was 63.5%. Since most histologic diagnoses were based on a small amount of specimen obtained from bronchoscopy, needle biopsy, and aspiration, the testing rate during this period can be considered high. Indeed, Lynch et al. concluded in 2010 that EGFR mutation testing was vastly underused in American NSCLC patients [10]. In our center, EGFR mutation testing was requested more frequently and more promptly over the years. Two factors may have influenced these time trends. First, our center developed the logistic capabilities for performing both histology and EGFR testing in the same pathology laboratory, thus reducing request complexity and turn-around times. Second, in agreement with the publication of landmark studies and national practice guidelines, different members in multidisciplinary NSCLC care teams at our center, including medical oncologists, pulmonologists, thoracic surgeons, and pathologists, agreed to the importance of improving the clinical performance of EGFR mutation testing. We also found that request rates for EGFR mutation testing were associated with a number clinical characteristics of study patients. Test requests were more likely in patients with adenocarcinoma, and in those who were younger, female, never/former smokers, or who were ambulatory on admission. The association between request rates with age or performance status was likely due to concerns on side effects and complications associated with more aggressive biopsy procedures required to obtain specimens for EGFR mutation testing in patients with poorer performance status. The NCCN guidelines do not recommend EGFR mutation testing in squamous cell carcinoma [8]. A previous study conducted in Italy found no EGFR mutations among 454 patients with squamous cell carcinoma [11]. In contrast, our study found that 6 out of 54 patients (11.1%) with squamous cell carcinoma had EGFR mutations, with an even higher prevalence in the subgroup of never smoker patients with squamous cell carcinoma (2 out of 12, or 16.7%). Recently, Tanaka et al. [12] reported a case in which a male current smoker with an EGFR mutation positive squamous cell carcinoma and performance status 4 showed a marked response to first-line gefitinib therapy. Our findings suggest that EGFR mutation testing should be considered even for squamous cell carcinoma patients in East Asian populations, although further studies need to better characterize the prevalence of EGFR mutation testing in East Asian patients with squamous cell lung carcinoma. Although our data showed that EGFR mutation testing was quickly becoming a standard part of routine management in NSCLC patients in our center during 2010, several barriers to improve quality of care remained. First, additional coordination and logistic efforts are needed to decrease turn-around times from diagnosis of advanced NSCLC to EGFR mutation test reporting in order to maximize its clinical utility. Second, even though EGFR mutation testing provides key information for decision making in treating NSCLC patients, testing is not reimbursed in Korea, a country in which health care is largely covered by a single-payer public insurance system although provision of care is provided in private centers. With an approximate cost of US $200, the economic burden may discourage a number of NSCLC patients from getting EGFR testing. Reimbursement of EGFR testing by insurance is important to further extend testing, particularly since more active molecular analyses, which search for additional predictive biomarkers such as EML4-ALK translocations [13], [14], are becoming clinically available. Our study was limited to a single tertiary hospital in Seoul, with a large volume of inpatient and outpatient consultations. Our findings may not be generalizable to countries outside of East Asia or to lower volume centers. However the key findings in our study, including the prevalence of EGFR mutations and the clinical characteristics of mutation positive patients, are expected to be similar to other major East Asian medical facilities. The retrospective nature of our study is also a potential limitation. Several strengths, however, including the large number of patients, the evaluation of consecutive patients in a real-world practice setting, and the availability and extraction of detailed clinical notes regarding testing procedures, add to the relevance of our findings. Recently, Sun et al. [15] reported that the frequency of the EGFR gene mutation is quite high among Korean patients with adenocarcinoma (up to 68.5% in nonsmoker women with adenocarcinoma) and even in male smokers with adenocarcinoma (29.7%). The current consensus recommends testing all newly diagnosed patients with advanced stage non squamous lung cancer, as well as some patients with squamous cell carcinoma with clinical features associated with higher prevalence of EGFR mutations in East Asia [9]. Finally, there are several issues in performance of EGFR mutation testing in practical environments, including sample type, techniques, turnaround time, and cost [16]–[18]. Regardless of these issues, Gately et al. showed that testing performed in the same center where the patient has been pathologically diagnosed was associated with shorter testing lead times and lower probability of result misallocation [19]. In conclusion, in this comprehensive analysis of real-world practice regarding EGFR mutation testing in East Asia, we found that 39.5% of advanced NSCLC patients attending our center were tested for EGFR mutations from January 2007 to July 2010. The frequency of EGFR mutation testing increased over time, and by 2010 it had become part of the clinical workup in the majority of NSCLC patients. In accordance with the increase in the frequency of testing over time, the turn-around time from cancer diagnosis to EGFR mutation report progressively decreased, facilitating the clinical use of test results. Finally, while the prevalence of EGFR mutation positivity was 39% among adenocarcinoma patients, we found a that 11% of patients with squamous cell carcinoma also tested positive, suggesting that testing should be generalized to all NSCLC patients in East Asia.
  17 in total

1.  Gefitinib for a poor performance status patient with squamous cell carcinoma of the lung harboring EGFR mutation.

Authors:  Kosuke Tanaka; Akito Hata; Yoko Kida; Reiko Kaji; Shiro Fujita; Nobuyuki Katakami; Yukihiro Imai
Journal:  Intern Med       Date:  2012-03-15       Impact factor: 1.271

Review 2.  The role of the molecular footprint of EGFR in tailoring treatment decisions in NSCLC.

Authors:  Kathy Gately; John O'Flaherty; Frederico Cappuzzo; Robert Pirker; Keith Kerr; Kenneth O'Byrne
Journal:  J Clin Pathol       Date:  2011-10-29       Impact factor: 3.411

3.  Prospective phase II study of gefitinib for chemotherapy-naive patients with advanced non-small-cell lung cancer with epidermal growth factor receptor gene mutations.

Authors:  Akira Inoue; Takuji Suzuki; Tatsuro Fukuhara; Makoto Maemondo; Yuichiro Kimura; Naoto Morikawa; Hiroshi Watanabe; Yasuo Saijo; Toshihiro Nukiwa
Journal:  J Clin Oncol       Date:  2006-06-19       Impact factor: 44.544

4.  EGFR mutations in non-small-cell lung cancer: analysis of a large series of cases and development of a rapid and sensitive method for diagnostic screening with potential implications on pharmacologic treatment.

Authors:  Antonio Marchetti; Carla Martella; Lara Felicioni; Fabio Barassi; Simona Salvatore; Antonio Chella; Pier P Camplese; Teodorico Iarussi; Felice Mucilli; Andrea Mezzetti; Franco Cuccurullo; Rocco Sacco; Fiamma Buttitta
Journal:  J Clin Oncol       Date:  2005-02-01       Impact factor: 44.544

5.  High incidence of EGFR mutations in Korean men smokers with no intratumoral heterogeneity of lung adenocarcinomas: correlation with histologic subtypes, EGFR/TTF-1 expressions, and clinical features.

Authors:  Ping-Li Sun; Hyesil Seol; Hyun Ju Lee; Seol Bong Yoo; Hyojin Kim; Xianhua Xu; Sanghoon Jheon; Choon-Taek Lee; Jong-Suk Lee; Jin-Haeng Chung
Journal:  J Thorac Oncol       Date:  2012-02       Impact factor: 15.609

Review 6.  Epidermal growth factor receptor mutations in lung cancer.

Authors:  Sreenath V Sharma; Daphne W Bell; Jeffrey Settleman; Daniel A Haber
Journal:  Nat Rev Cancer       Date:  2007-03       Impact factor: 60.716

7.  Evaluation of EGFR abnormalities in patients with pulmonary adenocarcinoma: the need to test neoplasms with more than one method.

Authors:  Ruta Gupta; Aditi M Dastane; Farahnaz Forozan; Amin Riley-Portuguez; Fai Chung; Jean Lopategui; Alberto M Marchevsky
Journal:  Mod Pathol       Date:  2008-11-07       Impact factor: 7.842

Review 8.  EGFR assays in lung cancer.

Authors:  Sanja Dacic
Journal:  Adv Anat Pathol       Date:  2008-07       Impact factor: 3.875

9.  Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma.

Authors:  Tony S Mok; Yi-Long Wu; Sumitra Thongprasert; Chih-Hsin Yang; Da-Tong Chu; Nagahiro Saijo; Patrapim Sunpaweravong; Baohui Han; Benjamin Margono; Yukito Ichinose; Yutaka Nishiwaki; Yuichiro Ohe; Jin-Ji Yang; Busyamas Chewaskulyong; Haiyi Jiang; Emma L Duffield; Claire L Watkins; Alison A Armour; Masahiro Fukuoka
Journal:  N Engl J Med       Date:  2009-08-19       Impact factor: 91.245

10.  Identification of the transforming EML4-ALK fusion gene in non-small-cell lung cancer.

Authors:  Manabu Soda; Young Lim Choi; Munehiro Enomoto; Shuji Takada; Yoshihiro Yamashita; Shunpei Ishikawa; Shin-ichiro Fujiwara; Hideki Watanabe; Kentaro Kurashina; Hisashi Hatanaka; Masashi Bando; Shoji Ohno; Yuichi Ishikawa; Hiroyuki Aburatani; Toshiro Niki; Yasunori Sohara; Yukihiko Sugiyama; Hiroyuki Mano
Journal:  Nature       Date:  2007-07-11       Impact factor: 49.962

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1.  EGFR Gene Mutation and Methodological Evaluation in 399 Patients with Non-small Cell Lung Cancer.

Authors:  Hong-Yun Zheng; Hai-Bo Wang; Fu-Jin Shen; Yong-Qing Tong; Qian Yao; Bin Qiao; Si Sun; Yan Li
Journal:  Curr Med Sci       Date:  2020-03-13

2.  Establishment and characterization of a lung cancer cell line, SMC-L001, from a lung adenocarcinoma.

Authors:  So-Jung Choi; Hyeseon Lee; Chungyoul Choe; Yong-Sung Shin; Jinseon Lee; Sung-Hwan Moon; Jhingook Kim
Journal:  In Vitro Cell Dev Biol Anim       Date:  2014-02-26       Impact factor: 2.416

3.  Molecular spectrum of somatic EGFR and KRAS gene mutations in non small cell lung carcinoma: determination of frequency, distribution pattern and identification of novel variations in Indian patients.

Authors:  Bibhu Ranjan Das; Sangeet Bhaumik; Firoz Ahmad; Aziz Mandsaurwala; Heena Satam
Journal:  Pathol Oncol Res       Date:  2015-01-31       Impact factor: 3.201

4.  Harnessing plasma genotyping for precision therapy against lung cancer.

Authors:  Xiang Yan; Bingliang Fang
Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

5.  EGFR Mutation Testing of non-squamous NSCLC: Impact and Uptake during Implementation of Testing Guidelines in a Population-Based Registry Cohort from Northern New Zealand.

Authors:  Mark McKeage; Mark Elwood; Sandar Tin Tin; Prashannata Khwaounjoo; Phyu Aye; Angie Li; Karen Sheath; Phillip Shepherd; George Laking; Nicola Kingston; Christopher Lewis; Donald Love
Journal:  Target Oncol       Date:  2017-10       Impact factor: 4.493

6.  Correlation between status of epidermal growth factor receptor mutation and distant metastases of lung adenocarcinoma upon initial diagnosis based on 1063 patients in China.

Authors:  Hongwei Li; Jianzhong Cao; Xiaqin Zhang; Xing Song; Weili Wang; Sufang Jia; Zhengran Li; Haixia Jia; Xing Cao; Wei Zhou; Jianhong Lian; Songye Han; Weihua Yang; Yanfen Xi; Shenming Lian; Haoxing Jing
Journal:  Clin Exp Metastasis       Date:  2016-11-25       Impact factor: 5.150

7.  Frequency of brain metastases in non-small-cell lung cancer, and their association with epidermal growth factor receptor mutations.

Authors:  Toshihiko Iuchi; Masato Shingyoji; Meiji Itakura; Sana Yokoi; Yasumitsu Moriya; Hajime Tamura; Yasushi Yoshida; Hironori Ashinuma; Koichiro Kawasaki; Yuzo Hasegawa; Tsukasa Sakaida; Toshihiko Iizasa
Journal:  Int J Clin Oncol       Date:  2014-10-22       Impact factor: 3.402

8.  Sequential treatment of icotinib after first-line pemetrexed in advanced lung adenocarcinoma with unknown EGFR gene status.

Authors:  Yulong Zheng; Weijia Fang; Jing Deng; Peng Zhao; Nong Xu; Jianying Zhou
Journal:  J Thorac Dis       Date:  2014-07       Impact factor: 2.895

9.  Activation of the BMP-BMPR pathway conferred resistance to EGFR-TKIs in lung squamous cell carcinoma patients with EGFR mutations.

Authors:  Zhijie Wang; Zhirong Shen; Zhenxiang Li; Jianchun Duan; Shuai Fu; Zhentao Liu; Hua Bai; Zemin Zhang; Jun Zhao; Xiaodong Wang; Jie Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-27       Impact factor: 11.205

10.  Mutant-Selective Allosteric EGFR Degraders are Effective Against a Broad Range of Drug-Resistant Mutations.

Authors:  Jaebong Jang; Ciric To; Dries J H De Clercq; Eunyoung Park; Charles M Ponthier; Bo Hee Shin; Mierzhati Mushajiang; Radosław P Nowak; Eric S Fischer; Michael J Eck; Pasi A Jänne; Nathanael S Gray
Journal:  Angew Chem Int Ed Engl       Date:  2020-07-09       Impact factor: 15.336

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