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Nuclear Medicine and Molecular Imaging logoLink to Nuclear Medicine and Molecular Imaging
. 2014 Nov 8;49(2):108–114. doi: 10.1007/s13139-014-0304-2

Correlation Analysis and Prognostic Impact of 18F-FDG PET and Excision Repair Cross-Complementation Group 1 (ERCC-1) Expression in Non-Small Cell Lung Cancer

Yong Hyu Jeong 1, Choong-kun Lee 2, Kwanhyeong Jo 1, Sang Hyun Hwang 1, Jongtae Cha 1, Jeong Won Lee 1, Mijin Yun 1, Arthur Cho 1,
PMCID: PMC4463872  PMID: 26085855

Abstract

Purpose

The aim of this study was to determine the relationship between [18]-2-fluoro-2-deoxy-D-glucose (FDG) uptake and excision repair cross-complementation group 1 (ERCC-1) expression and to evaluate the prognostic effect of these two factors in resectable non-small cell lung cancer (NSCLC) patients.

Methods

We retrospectively reviewed 212 patients with resectable NSCLC who underwent FDG positron emission tomography/computed tomography (PET/CT) scan for cancer staging and ERCC-1 expression analysis between January 2008 to December 2011. All patients were then followed-up for survival analysis. Semiquantitative evaluation of ERCC-1 was performed with the H-scoring system and was correlated with maximum standardized uptake value (SUVmax) of NSCLC. Univariate and multivariate analyses were performed to evaluate for FDG uptake and ERCC-1 expression predicting overall survival.

Results

In 212 patients (139 male, median age 68 ± 9.11), 112 patients had ERCC-positive tumors and 100 patients had ERCC-negative tumors. There was no significant difference in SUVmax between ERCC-1-positive tumors (8.02 ± 5.40) and ERCC-1-negative tumors (7.57 ± 6.56, p = 0.584). All patients were followed-up for a median of 40.5 months (95 % confidence interval [CI], 38.5–42.2 months). Univariate analysis and multivariate analysis for all patients showed that both ERCC-1 expression (hazard ratio [HR], 2.78; 95 % CI, 1.20–6.47) and FDG uptake (HR, 4.50; 95 % CI, 2.07–9.77) independently predicted overall survival.

Conclusions

We have found no statistical correlation between FDG uptake and ERCC-1 expression in NSCLC. However, both higher FDG uptake and positive ERCC-1 expression are independent predictive markers of prognosis, suggesting that both should be obtained during patient workup.

Keywords: FDG, PET/CT, ERCC, NSCLC, Prognosis

Introduction

Lung cancer is the leading cause of death in developed countries. Nearly 85 % of lung cancer cases are non-small cell lung cancer (NSCLC), where early diagnosis and effective therapy are the two main clinical factors affecting patient prognosis. Although significant therapeutic advances have been achieved, poor prognosis and short survival time have yet to be resolved. Despite undergoing complete resection of NSCLC, 5-year survival rates for pathological stage IA is 66 %, and stage IIIA patients have relatively lower 5-year survival rates of 23 % compared with other tumors [1].

Platinum-based chemotherapy is one of the most routinely used treatment modalities for NSCLC. Platinum-based adjuvant chemotherapy is usually recommended after surgical resection for patients with good performance status and completely resected lesions [2]. However, due to the low response rates of 25–35 % in treatment-naive NSCLC patients, recent studies have focused on elucidating molecular markers that predict response to conventional platinum-based chemotherapy [39].

Excision repair cross-complementation group 1 (ERCC-1)/xeroderma pigmentosum group F (XPF) protein complex plays key roles in several DNA repair pathways, particularly in those involved in the repair of ultraviolet-induced lesions and intrastrand or interstrand cross links [10]. Clinically, this protein is known to be associated with platinum-based chemotherapy resistance in many cancers, including NSCLC [1113]. Previous studies have shown that NSCLC patients on platinum-based chemotherapy with increased ERCC-1 expression have lower survival compared with ERCC-1-negative patients [14]. However, because ERCC-1 expression within primary lesions and metastases can be heterogenous [15], and invasive procedures are needed for adequate amounts of specimen for immunohistochemistry, correlation between ERCC-1 expression with non-invasive metabolic imaging may be beneficial in determining therapeutic strategy.

[18]-2-Fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is now established in the routine evaluation of lung cancer staging, and has the unique ability to provide metabolic information for each tumor’s glycolytic metabolic rate. When combined with anatomical imaging techniques, FDG PET has been shown to correlate well with tumor grading and after-treatment prognosis [16]. Previous studies have shown that ERCC-1 expression was correlated with GLUT-1 expression and insulin level, which is a known factor for FDG uptake in tumors [17, 18]. This suggests that there may be a potential correlation between ERCC-1 and FDG uptake in tumors. However, there are limited data correlating FDG uptake with chemotherapy-resistant tumor markers such as ERCC-1 in NSCLC. There have been only two studies evaluating the correlation between ERCC-1 expression and FDG uptake in NSCLC, and both are conflicting and have a small patient population [18, 19]. In addition, both studies did not evaluate the prognostic effect of ERCC-1 expression and FDG uptake. The purpose of this study was to determine the relationship between FDG uptake and ERCC-1 expression and to evaluate prognostic effect of these two factors in resectable NSCLC patients.

Material and Methods

This retrospective study was approved by our institutional review board. We retrospectively reviewed 212 patients with resectable NSCLC (139 men; mean age, 68 years old; range, 39–87 years) who underwent FDG PET/CT scan for cancer staging between January 2008 to December 2011 in the our medical center. TNM staging was determined according to the seventh AJCC staging guidelines and contrast-enhanced CT was obtained before surgery. Pathological diagnosis was obtained by surgery in all 212 patients. We chose ERCC-1 as a surrogate of chemoresistance protein, and H-scoring system was performed by standard immunostaining method in the primary lung cancer tissue by semiquantitative evaluation. To calculate H-score, the staining intensity (graded on a scale of 0–3) and the percentage of positive tumor nuclei proportion (0 if 0 %, 0.1 if 1–9 %, 0.5 if 10–49 %, and 1.0 if 50 % or more) were multiplied for each case, as previous studies have described [6]. The median value of H-scores of all patients was chosen as the cutoff value for separating ERCC-1-positive tumors from ERCC-1 negative tumors. Platinum-based adjuvant chemotherapy was indicated in patients higher than stage IB, according to the NCCN criteria for NSCLC patients. This retrospective study was approved by our institutional review board.

Whole-body PET/CT was performed using a Discovery 600 and Discovery PET/CT 600 (General Electric Medical Systems, Milwaukee, WI). All patients fasted for at least 6 h and blood glucose concentration was confirmed to be less than 130 mg/dl before the injection of 18F-FDG. Approximately 5.5 MBq of 18F-FDG per kilogram of body weight were administered intravenously. PET/CT scanning was performed from the skull base to the mid-thigh 60 min after injection. Spiral CT was performed using the following parameters: a scout view at 10 mA and 120 kVp, followed by a spiral CT scan with a 0.8-s rotation time, 60 mA, 120 kVP, 3.75-mm section thickness, 1.25-mm collimation and 27.5-mm table feed per rotation with arms raised. PET image acquisition followed CT scanning, 2 min per bed position of 15.7 cm in three-dimensional acquisition mode. PET, PET/CT and CT images were analyzed using a dedicated Advanced Workstation (General Electric Medical Systems). Semiquantitative analysis of PET images was performed by an experienced nuclear medicine physician. Briefly, a region of interest (ROI) of primary lung tumor was drawn, and the maximum standardized uptake values (SUVmax) was recorded. Receiver operation characteristic (ROC) curve analysis was performed to determine the optimal cutoff value of SUVmax that would best predict overall survival in patients.

For statistical analysis, chi-squared analysis was performed to correlate between ERCC-1 expression with clinical factors such as age, gender, histologic subtype, TNM stage, and chemotherapy status. Independent samples t-test was performed to determine the correlation between FDG uptake with ERCC-1 expression. Sub-analysis according to histologic subtype for ERCC-1 with FDG uptake was also performed as squamous cell carcinoma is well known to have higher FDG uptake compared with adenocarcinoma. Univariate survival analysis was performed for clinical factors and FDG uptake for overall survival. Multivariate analysis was performed for statistically significant factors in univariate analysis. All statistical computations were performed using SPSS 20.0 software (SPSS, Chicago, IL, USA) and a p value <0.05 was considered statistically significant.

Results

In 212 patients, 112 patients had ERCC-positive tumor and 100 patients had ERCC-negative tumor by H-scoring system. Pathologic histologic subtype was 147 patients with adenocarcinoma and 65 patients with squamous-cell carcinoma. There was no significant difference between ERCC-1 expression from patient characteristics such as age, gender, initial tumor stage, or platinum-based adjuvant chemotherapy (Table 1). Only NSCLC histologic subtype was correlated with ERCC-1 expression, as patients with squamous cell carcinoma tended to be ERCC-1-positive tumors (46/65), and adenocarcinoma pathology patients tended to have ERCC-1-negative tumors (81/147, p < 0.001). There was no significant difference in SUVmax of from ERCC-1-positive tumors (8.02 ± 5.40, mean ± standard deviation) and ERCC-1-negative tumors (7.57 ± 6.56, p = 0.584) (Table 2). In subgroup analysis, there was no difference in FDG uptake between ERCC-1-positive and -negative groups in adenocarcinoma (p = 0.134) and squamous-cell carcinoma (p = 0.763).

Table 1.

Characteristics of the patients

Characteristic All patients (n = 212) Patients with ERCC-1-positive tumors (n = 112) Patients with ERCC-1-negative tumors (n = 100) p value
Age 68 ± 9.11 68 ± 9.00 67 ± 8.96 0.771
Gender, n (%) 0.652
 Male 139 (66) 75 (67) 64 (64)
 Female 73 (34) 37 (33) 36 (36)
Histologic type, n (%) <0.001
 Squamous-cell carcinoma 65 (31) 46 (41) 19 (19)
 Adenocarcinoma 147 (69) 66 (59) 81 (81)
Pathological TNM stage, n (%) 0.837
 Stage I 121 (57) 62 (55) 59 (59)
 Stage II 51 (24) 29 (26) 22 (22)
 Stage III 40 (19) 21 (19) 19 (19)
Tumor, n (%) 0.554
 T1 87 (41) 44 (39) 43 (43)
 T2 99 (47) 54 (48) 45 (45)
 T3 22 (10) 11 (10) 11 (11)
 T4 4 (2) 3 (3) 1 (1)
Platinum-based adjuvant chemotherapy, n (%) 0.637
 Yes 82 (39) 45 (40) 37 (37)
 No 130 (61) 67 (60) 63 (63)

Table 2.

Comparison of SUVmax in primary NSCLC patients according to ERCC-1 expression

Characteristic Patients with ERCC-1- positive tumors Patients with ERCC-1- negative tumors p value
Total patients 8.02 ± 5.40 7.57 ± 6.56 0.584
Squamous-cell carcinoma (n = 65) 11.30 ± 4.93 14.38 ± 8.00 0.134
Adenocarcinoma (n = 147) 5.74 ± 4.47 5.98 ± 5.01 0.763

Data are expressed as mean ± standard deviation

All patients were followed-up for overall survival analysis, and median follow up duration was 40.5 months (95 % confidence interval [CI], 38.5–42.2 months) and 31 patients (14.6 %) died during the duration of this study. ROC analysis showed that FDG uptake that best predicted overall survival with highest sensitivity was SUVmax 8.1 (sensitivity, 71 %; area under the curve [AUC], 0.699; p < 0.001). When patients were divided into two groups according to the cutoff value, there were 78 patients (37 %) in the positive FDG uptake group and 134 patients (63 %) in the negative FDG uptake group. The SUVmax of primary lung tumor in the negative FDG uptake group was 4.11 ± 2.20 (mean ± standard deviation), and 14.17 ± 4.93 in the positive FDG uptake group. In the entire patient group, ERCC-1-positive patients had significantly shorter overall survival (OS) than ERCC-1-negative patients (hazard ratio [HR], 3.36; 95 % CI, 1.66–6.79; Table 3), and average survival was 65 months for ERCC-1-negative patients compared with 54 months for ERCC-1-positive patients (p = 0.003, Fig. 1a). FDG-positive patients had significantly shorter OS than FDG-negative patients (50 months vs 66 months; HR, 5.05; 95 % CI, 2.38–10.70; Fig. 1b). ERCC-1 expression has been correlated with poorer prognosis in patients undergoing platin-based chemotherapy, so subanalysis of patient survival was performed for these patients. A total of 82 patients (38.7 %) underwent chemotherapy, and 45 of these patients (54.9 %) were ERCC-1 positive, and 37 patients (45.1 %) were ERCC-1 negative. There was no correlation between ERCC-1 expression (p = 0.055) and FDG uptake (p = 0.974) in predicting overall survival in these patients (Fig. 1c and d). Finally, multivariate Cox model for all patients showed that both ERCC-1 expression (HR, 2.78; 95 % CI, 1.20–6.47) and FDG uptake (HR, 4.50; 95 % CI, 2.07–9.77) independently predicted survival for the entire study population. Other predicting factors were not shown to be statistically significant (Table 3).

Table 3.

Univariate and multivariate analyses of prognostic factors for overall survival in NSCLC

Univariate analysis Multivariate analysis
HR 95 % CI p value HR 95 % CI p value
ERCC-1 expression 3.36 1.66–6.79 0.003a 2.78 1.20–6.47 0.017a
FDG uptake 5.05 2.38–10.70 <0.001a 4.50 2.07–9.77 <0.001a
Age (cutoff, 71 year) 1.87 0.91–3.84 0.078 NS
Gender 0.28 0.13–0.58 0.010a 0.338
TNM stage 0.001a 0.139
 Stage I
 Stage II 4.39 1.82–10.61
 Stage III 3.95 1.56–10.01
Platinum-based CTx 1.96 0.95–4.04 0.057 NS

CTx chemotherapy, HR hazard ratio, CI confidence interval, NS not statistically significant

aStatistically significant

Fig. 1.

Fig. 1

Kaplan-Meier estimates of the probability of survival. a In the entire patient group, the ERCC-1-positive patients had significantly shorter overall survival (OS) than ERCC-1-negative patients (HR, 3.36; 95 % CI, 1.66–6.79; p = 0.003). b FDG-positive patients (SUVmax cutoff, 8.1) had significantly shorter OS than FDG-negative patients (HR, 5.05; 95 % CI, 2.38–10.70; p < 0.001). In patients underwent chemotherapy group, there was no correlation between c ERCC-1 expression (p = 0.055) and d FDG uptake (p = 0.974) in predicting overall survival in these patients

Discussion

We have shown in our study that FDG is not correlated with ERCC-1 expression in NSCLC. To our knowledge, this is the largest study assessing the correlation between ERCC-1 expression and FDG uptake in resectable NSCLC patients. ERCC-1 is a DNA excision repair protein encoded by the ERCC-1 gene, involved in the nucleotide excision repair of damaged DNA. Previous reports have shown that insulin-induced ERCC-1 mRNA expression via the Ras/ERK-dependent pathway activates hypoxic signal cascade via Snail1 pathway, and results in GLUT1 expression in NSCLC tumors [13, 17]. This implies that tumors expressing ERCC-1 may show high FDG uptake as increased GLUT1 expression and hypoxic conditions are known to be correlated with increased FDG uptake. Clinically, correlation of ERCC-1 expression and FDG uptake was not been established in NSCLC, as only a few retrospective studies with small cohorts have been reported, and they are conflicting. This may be due to the small population size and limited data of tumor character. One study by Xiao-Yi et al. [19] showed a positive correlation between SUVmax of ERCC-1-positive cases compared with ERCC-1-negative cases in NSCLC. However, histologic type of NSCLC was not included in the analysis, which may be an important variable, as both ERCC-1 and FDG uptake are significantly higher in squamous cell carcinoma pathology compared with adenocarcinoma. We have shown in our larger clinical study that there was no correlation between ERCC-1 expression and FDG uptake, neither overall or according to NSCLC subtype. A more precise method to evaluate for the correlation between FDG uptake with ERCC-1 expression is animal studies with ex vivo autoradiography correlated with ERCC-1 immunohistochemical analysis; however, this is outside the scope of this clinical study.

We have also shown in our study that ERCC-1 and FDG uptake independently predicted overall survival in resectable NSCLC patients. Although many clinical factors such as age, gender, TNM stage, performance status, weight loss and tumor markers show high correlation with NSCLC prognosis [1, 20], there are varying responses to treatment in patients with resectable NSCLC that highlight the need for better predictive markers based on tumor metabolism. We have seen in our data that positive ERCC-1 expression was correlated with poorer survival. This result contradicts a major study, which has shown that negative ERCC-1 expression was correlated with poorer survival in patient groups without treatment [6]. However, the correlation between survival and ERCC-1 expression is still not resolved, as subsequent studies have not shown a significant correlation between negative ERCC-1 expression with patient survival [9, 21, 22]. We evaluated the independent survival benefit of both ERCC-1 expression and FDG uptake in our study, as both markers are suspected to be correlated with patient survival. We have shown that both positive ERCC-1 expression and higher FDG uptake is associated with poorer survival, and that FDG uptake has a stronger risk factor for poorer survival compared with ERCC-1 (HR 4.5 vs 2.8). This result suggests that both ERCC-1 and FDG PET/CT could be beneficial in treatment planning. However, controlled, prospective studies are needed to fully evaluate for the possible role of ERCC-1 and FDG PET/CT in predicting patient prognosis.

ERCC-1 expression analysis has recently been evaluated due to the DNA repair capability, which can potentially repair platinum-induced DNA damage. A recent meta-analysis suggested that high ERCC-1 expression was a positive prognostic factor associated with lower response to platinum-based chemotherapy in NSCLC, but recent reports have shown no statistical association between response to therapy with ERCC-1 expression. FDG uptake has also been extensively analyzed in predicting therapy response in NSCLC patients, and although most studies have confirmed that FDG uptake predicts overall survival, the clinical usefulness of FDG uptake in predicting therapy response is not yet established [2325]. We have also shown in our study that ERCC-1 expression or FDG uptake predicted survival in platinum-based chemotherapy patients, but further studies are needed as our subanalysis study population was relatively small.

In summary, we have found no statistical correlation between FDG uptake and ERCC-1 expression in NSCLC. However, both higher FDG uptake and positive ERCC-1 expression are independent predictive markers of prognosis, suggesting that both should be obtained during patient workup.

Acknowledgments

Conflict of Interest

Yong Hyu Jeong, Choong-kun Lee, Kwanhyeong Jo, Sang Hyun Hwang, Jongtae Cha, Jeong Won Lee, Mijin Yun and Arthur Cho declare that they have no conflict of interest.

Informed Consent

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration of 1975, as revised in 2000. The institutional review board approval number of this study is 4-2014-0715, and informed consent was waived.

References

  • 1.Chansky K, Sculier JP, Crowley JJ, Giroux D, Van Meerbeeck J, Goldstraw P, et al. The international association for the study of lung cancer staging project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer. J Thorac Oncol. 2009;4(7):792–801. doi: 10.1097/JTO.0b013e3181a7716e. [DOI] [PubMed] [Google Scholar]
  • 2.Heon S, Johnson BE. Adjuvant chemotherapy for surgically resected non-small cell lung cancer. J Thorac Cardiovasc Surg. 2012;144(3):S39–42. doi: 10.1016/j.jtcvs.2012.03.039. [DOI] [PubMed] [Google Scholar]
  • 3.Lord RV, Brabender J, Gandara D, Alberola V, Camps C, Domine M, et al. Low ERCC1 expression correlates with prolonged survival after cisplatin plus gemcitabine chemotherapy in non-small cell lung cancer. Clin Cancer Res. 2002;8(7):2286–91. [PubMed] [Google Scholar]
  • 4.Bepler G, Kusmartseva I, Sharma S, Gautam A, Cantor A, Sharma A, et al. RRM1 modulated in vitro and in vivo efficacy of gemcitabine and platinum in non-small-cell lung cancer. J Clin Oncol. 2006;24(29):4731–7. doi: 10.1200/JCO.2006.06.1101. [DOI] [PubMed] [Google Scholar]
  • 5.Ceppi P, Volante M, Novello S, Rapa I, Danenberg KD, Danenberg PV, et al. ERCC1 and RRM1 gene expressions but not EGFR are predictive of shorter survival in advanced non-small-cell lung cancer treated with cisplatin and gemcitabine. Ann Oncol. 2006;17(12):1818–25. doi: 10.1093/annonc/mdl300. [DOI] [PubMed] [Google Scholar]
  • 6.Olaussen KA, Dunant A, Fouret P, Brambilla E, Andre F, Haddad V, et al. DNA repair by ERCC1 in non-small-cell lung cancer and cisplatin-based adjuvant chemotherapy. N Engl J Med. 2006;355(10):983–91. doi: 10.1056/NEJMoa060570. [DOI] [PubMed] [Google Scholar]
  • 7.Cobo M, Isla D, Massuti B, Montes A, Sanchez JM, Provencio M, et al. Customizing cisplatin based on quantitative excision repair cross-complementing 1 mRNA expression: a phase III trial in non-small-cell lung cancer. J Clin Oncol. 2007;25(19):2747–54. doi: 10.1200/JCO.2006.09.7915. [DOI] [PubMed] [Google Scholar]
  • 8.Simon G, Sharma A, Li X, Hazelton T, Walsh F, Williams C, et al. Feasibility and efficacy of molecular analysis-directed individualized therapy in advanced non-small-cell lung cancer. J Clin Oncol. 2007;25(19):2741–6. doi: 10.1200/JCO.2006.08.2099. [DOI] [PubMed] [Google Scholar]
  • 9.Reynolds C, Obasaju C, Schell MJ, Li X, Zheng Z, Boulware D, et al. Randomized phase III trial of gemcitabine-based chemotherapy with in situ RRM1 and ERCC1 protein levels for response prediction in non-small-cell lung cancer. J Clin Oncol. 2009;27(34):5808–15. doi: 10.1200/JCO.2009.21.9766. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.van Vuuren AJ, Appeldoorn E, Odijk H, Yasui A, Jaspers NG, Bootsma D, et al. Evidence for a repair enzyme complex involving ERCC1 and complementing activities of ERCC4, ERCC11 and xeroderma pigmentosum group F. EMBO J. 1993;12(9):3693–701. doi: 10.1002/j.1460-2075.1993.tb06044.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bellmunt J, Paz-Ares L, Cuello M, Cecere FL, Albiol S, Guillem V, et al. Gene expression of ERCC1 as a novel prognostic marker in advanced bladder cancer patients receiving cisplatin-based chemotherapy. Ann Oncol. 2007;18(3):522–8. doi: 10.1093/annonc/mdl435. [DOI] [PubMed] [Google Scholar]
  • 12.Kwon HC, Roh MS, Oh SY, Kim SH, Kim MC, Kim JS, et al. Prognostic value of expression of ERCC1, thymidylate synthase, and glutathione S-transferase P1 for 5-fluorouracil/oxaliplatin chemotherapy in advanced gastric cancer. Ann Oncol. 2007;18(3):504–9. doi: 10.1093/annonc/mdl430. [DOI] [PubMed] [Google Scholar]
  • 13.Hsu DS, Lan HY, Huang CH, Tai SK, Chang SY, Tsai TL, et al. Regulation of excision repair cross-complementation group 1 by Snail contributes to cisplatin resistance in head and neck cancer. Clin Cancer Res. 2010;16(18):4561–71. doi: 10.1158/1078-0432.CCR-10-0593. [DOI] [PubMed] [Google Scholar]
  • 14.Vilmar A, Sorensen JB. Excision repair cross-complementation group 1 (ERCC1) in platinum-based treatment of non-small cell lung cancer with special emphasis on carboplatin: a review of current literature. Lung Cancer. 2009;64(2):131–9. doi: 10.1016/j.lungcan.2008.08.006. [DOI] [PubMed] [Google Scholar]
  • 15.Smirnov S, Pashkevich A, Liundysheva V, Babenko A, Smolyakova R. Heterogeneity of excision repair cross–complementation group 1 gene expression in non–small–cell lung cancer patients. Mol Clin Oncol. 2014. doi:10.3892/mco.2014.415. [DOI] [PMC free article] [PubMed]
  • 16.Kelloff GJ, Hoffman JM, Johnson B, Scher HI, Siegel BA, Cheng EY, et al. Progress and promise of FDG-PET imaging for cancer patient management and oncologic drug development. Clin Cancer Res. 2005;11(8):2785–808. doi: 10.1158/1078-0432.CCR-04-2626. [DOI] [PubMed] [Google Scholar]
  • 17.Lee-Kwon W, Park D, Bernier M. Involvement of the Ras/extracellular signal-regulated kinase signalling pathway in the regulation of ERCC-1 mRNA levels by insulin. Biochem J. 1998;331(Pt 2):591–7. doi: 10.1042/bj3310591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kaira K, Endo M, Shukuya T, Kenmotsu H, Naito T, Ono A, et al. (1)(8)F-FDG uptake on PET could be a predictive marker of excision repair cross-complementation group 1 (ERCC1) expression in patients with thoracic neoplasms? Neoplasma. 2012;59(3):257–63. doi: 10.4149/neo_2012_033. [DOI] [PubMed] [Google Scholar]
  • 19.Duan XY, Wang W, Wang JS, Shang J, Gao JG, Guo YM. Fluorodeoxyglucose positron emission tomography and chemotherapy-related tumor marker expression in non-small cell lung cancer. BMC Cancer. 2013;13:546. doi: 10.1186/1471-2407-13-546. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Strauss GM, Kwiatkowski DJ, Harpole DH, Lynch TJ, Skarin AT, Sugarbaker DJ. Molecular and pathologic markers in stage I non-small-cell carcinoma of the lung. J Clin Oncol. 1995;13(5):1265–79. doi: 10.1200/JCO.1995.13.5.1265. [DOI] [PubMed] [Google Scholar]
  • 21.Ota S, Ishii G, Goto K, Kubota K, Kim YH, Kojika M, et al. Immunohistochemical expression of BCRP and ERCC1 in biopsy specimen predicts survival in advanced non-small-cell lung cancer treated with cisplatin-based chemotherapy. Lung Cancer. 2009;64(1):98–104. doi: 10.1016/j.lungcan.2008.07.014. [DOI] [PubMed] [Google Scholar]
  • 22.Booton R, Ward T, Ashcroft L, Morris J, Heighway J, Thatcher N. ERCC1 mRNA expression is not associated with response and survival after platinum-based chemotherapy regimens in advanced non-small cell lung cancer. J Thorac Oncol. 2007;2(10):902–6. doi: 10.1097/JTO.0b013e318155a637. [DOI] [PubMed] [Google Scholar]
  • 23.Lee KH, Lee SH, Kim DW, Kang WJ, Chung JK, Im SA, et al. High fluorodeoxyglucose uptake on positron emission tomography in patients with advanced non-small cell lung cancer on platinum-based combination chemotherapy. Clin Cancer Res. 2006;12(14 Pt 1):4232–6. doi: 10.1158/1078-0432.CCR-05-2710. [DOI] [PubMed] [Google Scholar]
  • 24.Na II, Byun BH, Kang HJ, Cheon GJ, Koh JS, Kim CH, et al. 18F-fluoro-2-deoxy-glucose uptake predicts clinical outcome in patients with gefitinib-treated non-small cell lung cancer. Clin Cancer Res. 2008;14(7):2036–41. doi: 10.1158/1078-0432.CCR-07-4074. [DOI] [PubMed] [Google Scholar]
  • 25.Imamura Y, Azuma K, Kurata S, Hattori S, Sasada T, Kinoshita T, et al. Prognostic value of SUVmax measurements obtained by FDG-PET in patients with non-small cell lung cancer receiving chemotherapy. Lung Cancer. 2011;71(1):49–54. doi: 10.1016/j.lungcan.2010.04.004. [DOI] [PubMed] [Google Scholar]

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