Circulating Endothelial-Derived Activated Microparticle: A Useful Biomarker for Predicting One-Year Mortality in Patients with Advanced Non-Small Cell Lung Cancer

Wang, Chin-Chou; Tseng, Chia-Cheng; Hsiao, Chang-Chun; Chang, Huang-Chih; Chang, Li-Teh; Fang, Wen-Feng; Leu, Steve; Wang, Yi-Hsi; Tsai, Tzu-Hsien; Yang, Cheng-Ta; Chen, Chih-Hung; Yip, Hon-Kan; Ho, Chi-Kung; Lin, Meng-Chih

doi:https://doi.org/10.1155/2014/173401

BioMed Research International

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Abstract Introduction Materials and Methods Results Discussion Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2014 | Article ID 173401 | https://doi.org/10.1155/2014/173401

Circulating Endothelial-Derived Activated Microparticle: A Useful Biomarker for Predicting One-Year Mortality in Patients with Advanced Non-Small Cell Lung Cancer

Chin-Chou Wang,^1,2,3Chia-Cheng Tseng,¹Chang-Chun Hsiao,^4,5Huang-Chih Chang,¹Li-Teh Chang,⁶Wen-Feng Fang,¹Steve Leu,⁷Yi-Hsi Wang,¹Tzu-Hsien Tsai,⁸Cheng-Ta Yang,⁹Chih-Hung Chen,¹⁰and Hon-Kan Yip^7,8 et al.

Academic Editor: Noriyoshi Sawabata

Received02 Apr 2014

Revised04 Jun 2014

Accepted09 Jun 2014

Published29 Jun 2014

Abstract

Background. This study tested the hypothesis that circulating microparticles (MPs) are useful biomarkers for predicting one-year mortality in patients with end-stage non-small cell lung cancer (ES-NSCLC). Methods and Results. One hundred seven patients were prospectively enrolled into the study between April 2011 and February 2012, and each patient received regular follow-up after enrollment. Levels of four MPs in circulation, (1) platelet-derived activated MPs (PDAc-MPs), (2) platelet-derived apoptotic MPs (PDAp-MPs), (3) endothelial-derived activated MPs (EDAc-MPs), and (4) endothelial-derived apoptotic MPs (EDAp-MPs), were measured just after the patient was enrolled into the study using flow cytometry. Patients who survived for more than one year were categorized into group 1 (one-year survivors) and patients who survived less than one year were categorized into group 2 (one-year nonsurvivors). Male gender, incidence of liver metastasis, progression of disease after first-line treatment, poor performance status, and the Charlson comorbidity index were significantly higher in group 2 than in group 1 (all ). Additionally, as measured by flow cytometry, only the circulating level of EDAc-MPs was found to be significantly higher in group 2 than in group 1 . Multivariate analysis demonstrated that circulating level of EDAc-MPs along with brain metastasis and male gender significantly and independently predictive of one-year mortality (all ). Conclusion. Circulating EDAc-MPs may be a useful biomarker predictive of one-year morality in ES-NSCLC patients.

1. Introduction

Clinical observational studies have demonstrated that lung cancer remains the leading cause of cancer-related mortality worldwide, with nearly 1.4 million deaths each year [1–4]. These studies further demonstrated that, in many parts of the world, the number of cases and deaths related to lung cancer is rising [1]. Non-small cell lung cancer (NSCLC), which includes adenocarcinoma, squamous cell carcinoma, large cell carcinoma, and bronchioloalveolar carcinoma, accounts for more than 80% of all cases of lung cancer [2]. Despite concerted efforts to improve survival rate with combinations of traditional surgical intervention and adjunctive radiation and chemotherapy, as well as molecularly targeted drugs such as tyrosine kinase inhibitors of EGFR gene (gefitinib and erlotinib) [5] and tyrosine kinase inhibitors of anaplastic lymphoma kinase (ALK) gene (crizotinib) [6], the overall survival rate is still poor [7–10].

Although advanced molecular biology techniques have greatly accelerated the understanding of cancer biology, still approximately 50% of the patients with lung cancer have advanced stage disease at the time of diagnosis [2]. Thus, not only a better understanding of the pathogenesis of LC, but also the development of molecular and cellular biomarkers [2] for early detection is very important for improving LC therapeutic outcome [11–13]. The development of a serum biomarker that can be applied simply and easily in clinical practice as a complementary tool for the prediction of prognostic outcome would be a welcome addition in the LC setting.

Microparticles (MPs) are “small plasma membrane fragments” of cells released into circulation in response to many situational changes such as physiological conditions, microenvironmental stimulation, stress, physical activation (thrombin, endotoxin, or shear stress), activated cells or those undergoing apoptosis (growth factor deprivation or apoptotic inducers), ischemic stimulations, or neoplastic transformation [14]. MPs are small membrane-enclosed vesicles that are derived from the cellular plasma membrane and shed into circulation by activated and/or apoptotic cells [14–19]. MPs are extremely small-ranging in size from 0.1 μm to 1.0 μm. Interestingly, MPs have been previously reported to participate in inflammation and thrombosis formation [14–18]. In addition, MPs have been identified to have differential roles in angiogenesis depending on their origin [14, 17, 20–23]. Of note, MPs from platelets (PMPs) have been demonstrated to exhibit proangiogenic activity; that is, they promote capillary-like structures and proangiogenic factor production [14, 17, 20, 22]. Conversely, endothelial-derived MPs can be pro- or antiangiogenic depending on the stimuli used for their production [14].

Accumulating published data demonstrates that numbers of circulating MPs are increased in a wide range of diseases [14, 24–30], including LC [31]. We also recently demonstrated that circulating levels of MPs are significantly increased in LC patients, and circulating levels of endothelial-derived apoptotic MPs (EDAp-MPs) are significantly associated with different LC cell types [32]. However, whether circulating level of MPs could be a useful biomarker for prediction of one-year mortality in patients with end-stage NSCLC (ES-NSCLC) remains uncertain. To extend our recent study [32], the aim of this study was to test (1) whether circulating levels of MPs are significantly lower in ES-NSCLC patients who survived for more than one year (defined as one-year survivors) than those patients who survived for less than one year (defined as one-year nonsurvivors) and (2) whether circulating level of MPs is significantly and independently predictive of one-year mortality.

2. Materials and Methods

2.1. Patient Enrollment, Data Collection, and Therapeutic Strategy

The procedure and protocol of patient enrollment, data collection, classification of ES-NSCLC, and therapeutic strategy were based on the protocol outlined in our recent report [32]. In brief, image studies and pathological findings of all patients who received evaluation or treatment with LC at Kaohsiung Chang Gung Memorial Hospital were assessed, and patients’ eligibility for intervention, including surgery, adjunctive/palliative chemotherapy, irradiation therapy, and/or target therapy, was evaluated based on the AJCC Cancer Staging Manual (7th edition) criteria [33]. Lung cancer was categorized into stages I, II, III, and IV according to the radiological findings based on the AJCC Cancer Staging Manual (7th edition) criteria [33]. Additionally, patients who had stage IIIb or stage IV NSCLC upon presentation were categorized into ES-NSCLC. All patients were enrolled either in the outpatient department or upon hospital admission for further evaluation and treatment.

Detailed in-hospital and follow-up data, including age, gender, chest X-ray findings, computed tomography, fibrobronchoscopic findings, bone scans or ultrasound studies, other image findings, and histological and pathological findings, were collected prospectively and entered into a computer database.

One hundred seven consecutive patients of all ages who were diagnosed with ES-NSCLC between April 2011 and February 2012 were prospectively enrolled into the study [stage IIIb, 18.7% (20/107); stage IV, 81.3% (87/107)] (Table 2).

Informed consent was obtained from each study subject. The whole study protocol was approved by the Institutional Review Committee on Human Research at Kaohsiung Chang Gung Memorial Hospital (IRB number: 100-1024B), and clinical investigation was conducted according to the principles outlined in the Declaration of Helsinki.

To circumvent other potential influences on measurement of circulating level of MPs, patients with one or more of the following were excluded [32]: recent surgery or trauma during the preceding 2 months, refusal to participate in the study, other coexistent malignances, severe organ disease other than LC, chronic kidney disease (CKD > stage III), liver cirrhosis, hematologic disorders, congestive heart failure, current use of antiplatelet agents, history of febrile disorders, acute or chronic inflammatory disease other than LC during the study period, or a history of autoimmune diseases with or without immunosuppressive therapy.

2.2. Categorization of Circulating Microparticles into Four Types

Circulating MPs were categorized into (Figure 1) (1) platelet-derived activated MPs (PDAc-MPs) (CD31⁺CD42b⁺AN-V⁻); (2) platelet-derived apoptotic MPs (PDAp-MPs) (CD31⁺CD42b⁺AN-V⁺); (3) endothelial-derived activated MPs (EDAc-MPs) (CD31⁺CD42b⁻AN-V⁻); and (4) endothelial-derived apoptotic MPs (EDAp-MPs) (CD31⁺CD42b⁻AN-V⁺) based on a previous report [34] with some modification and further validated by our recent report [32]. The CD31 biomarker which was chosen as an endothelial cell-derived MPs was basic in previous [34] and our recent [32] reports, as well as the recent report which suggested that CD31⁺ surface marker served as an endothelial cell surface marker [35].

(a)

(b)

(c)

(d)

2.3. Blood Samples for Biochemical Analysis, Blood Cell Count Study, and Flow Cytometric Analysis for Plasma Levels of Microparticles

Blood samples were obtained once at 9:00 am from study subjects for individual analysis according to the procedure and protocol outlined in our previous study [32]. In brief, white blood cell (WBC) counts, biochemistry, and electrolyte levels were analyzed using standard laboratory methods in our hospital. Peripheral blood was collected in acid citrate dextrose (ACD) vacutainer tubes. To prepare platelet-rich plasma, the peripheral blood (1.5 mL) was centrifuged at 2500 ×g at 4°C for 15 min without acceleration or break. The 250 μL plasma samples were thawed and centrifuged for 10 min at 19,800 ×g at 4°C and then collected for investigation of microparticles (MPs) smaller than 1.0 μm.

Size calibration was conducted with 1.0 μm beads (Invitrogen, Carlsbad, CA). The MP pellet was resuspended with 150 μL of Annexin-V binding buffer (BD Biosciences). All buffers were sterile-filtered with a 0.2 μm filter. The 100 μL MPs were then incubated in a TruCOUNT tube (BD Biosciences) with fluorescent monoclonal antibodies: (1) phycoerythrin- (PE-) labeled anti-CD31 (BD Biosciences); (2) fluorescein isothiocyanate-labeled anti-Annexin-V (BD Biosciences); and (3) phycoerythrin-Cy5- (PE-Cy5-) labeled anti-CD42b (BD Biosciences). The samples were incubated in the dark for 15 min at room temperature. The samples were then analyzed on a FC500 flow cytometer (Beckman Coulter) after 400 μL Annexin-V binding buffer was added. The absolute count of MPs was measured setting the stop condition for TruCount beads at 10,000 events.

2.4. Definitions

Assessment of the change in tumor burden which was used to determine whether or not the tumor responded to the adjunctive therapy was conducted based on the protocol outlined in our previous report [32]. Accordingly, chest computed tomography (CT) scans were routinely performed at baseline and at three time points (at 12-week intervals) of adjunctive therapy to determine the status of the disease. The tumor measurement criteria were based on the current Response Evaluation Criteria in Solid Tumors (RECIST) guidelines [36] and included complete response, partial response, stable disease, and progressive disease. In the current study, we categorized the disease statuses as (1) disease controlled, (2) disease progression, and (3) disease without treatment. “Disease controlled” status was defined as disease posttreatment with regression, in a stable condition (i.e., including complete response, partial response, and stable disease). “Disease progression” was defined as disease unresponsive to therapy (complete course of treatment with tumor growing or disease metastasis). “Disease without treatment” was defined as a fresh case that was enrolled prior to treatment.

2.5. Statistical Analysis

Data were expressed as means ± SD. Categorical variables were analyzed using the chi-squared test or Fisher’s exact test where appropriate and continuous variables were compared using Student’s -test or the Mann-Whitney test. All variables were considered as risk factors with a value <0.10 in univariate analysis that were entered into the multivariate model. Multivariate logistic regression analysis was performed to identify independent factors for predicting one-year survival. Receiver operating characteristic (ROC) curves were plotted and the area under the curve was compared with several serum biomarkers measured in this study. The cutoff value of serum biomarkers for predicting one-year survival among lung cancer patients was analyzed according to ROC curves. The proportion of patients over time was estimated by means of Kaplan-Meier analysis comparing subjects identified as independent factors by multivariate method as well as first-line treatment status.

Results were presented as absolute numbers (percentage) or mean ± standard deviation (SD). Odds ratios and 95% confidence intervals (CIs) were reported for logistic regression analysis. A two-tailed value of <0.05 was considered significant. All statistical analysis was performed using the SPSS 14.0 software package (SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Baseline Characteristics and Clinically Relevant Variables of 107 Study Patients (Table 1)

The age and body mass index did not differ in one-year survivors and one-year nonsurvivors. Additionally, no patient among these two groups had previously received surgical intervention. However, male gender was significantly more prevalent in the population of one-year nonsurvivors than in one-year survivors. The incidences of history of smoking, hypertension, and diabetes mellitus did not differ between these two groups of patients.

Red blood cell count, white blood cell count, and platelet count and the levels of creatinine, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) were similar among these two groups of patients. Additionally, the percentage use of adjunctive therapy, including irradiation therapy, traditional chemotherapy, and target therapy, did not differ between these two groups.

Table 1 also shows the clinical relevant variables in one-year survival and one-year non-survival patients. Subgroup analysis of these ES-NSCLC patients showed no significant difference between the distribution of stage IIIb and stage IV among the one-year survivors and one-year nonsurvivors. Additionally, the incidence of specified metastatic sites, including pleural, intrapulmonary, bone, adrenal gland, and brain was similar between these two groups of patients. However, the incidence of metastasis to the liver was significantly higher in one-year nonsurvivors than in one-year survivors.

To elucidate the disease status after a complete course of the first-line treatment, the parameters, that is, the disease control and disease progression, were carefully assessed. The results showed that the incidence of disease control was significantly higher, whereas the disease progression was significantly lower in one-year survivors than in one-year nonsurvivors.

WHO performance status was used to determine patients’ activity capacities [37]. The results showed significantly poorer performance status in one-year nonsurvivors as compared with those of one-year survivors. Additionally, to measure the burden of comorbid diseases in ES-NSCLC patients, MED-ECHO database (Quebec), the so-called Charlson index [38], was adopted. As expected, the Charlson comorbidity index was significantly higher in one-year nonsurvivors than in one-year survivors.

3.2. Flow Cytometric Quantification of Circulating MPs Levels among the 107 Study Patients (Table 2)

Table 2 shows the results of flow cytometry for analyzing the circulating levels of MPs. The results show that the circulating levels of PDAc-MPs, PDAp-MPs, and EDAp-MPs did not differ between one-year survivors and one-year nonsurvivors. However, the circulating level of EDAc-MPs was substantially higher in one-year nonsurvivors than in one-year survivors.

3.3. Determination of the Predictors of One-Year Mortality among 107 Study Patients (Table 3)

Table 3 shows the univariate and multivariate analysis of predictive factors of one-year mortality. The variables in Tables 1 and 2 were utilized in the statistical analysis in the current study. The results demonstrated that male gender, liver metastasis, and lower performance status were significantly predictive of one-year mortality. Additionally, brain metastasis showed a tendency towards statistical significance for prediction of one-year mortality. Conversely, the lower the Charlson comorbidity index values, the lower the levels of circulating EDAc-MP, and disease control status was significantly associated with one-year survival.

Multiple stepwise-logistic regression analysis showed that, among the four types of MPs, only an increase in circulating level of EDAc-MPs was significantly and independently predictive of one-year mortality. Additionally, male gender and brain metastasis were significant independent predictors of one-year mortality.

3.4. Correlation between Circulating Level of EDAc-MPs and One-Year Mortality

Receiver operating characteristics (ROC) curve analysis (Figure 2) revealed that circulating level of EDAc-MPs ≥1100.5 counts/mL (i.e., cutoff value) was the most powerful predictor of one-year mortality with a sensitivity of 77.6% and a specificity of 56.9%.

Kaplan Meyer survival curve (Figure 3(a)) demonstrated that the one-year mortality rate was significantly higher in male than in female in the same setting of ES-NSCLC. Additionally, this analytic method demonstrated that the one-year mortality rate was significantly higher in disease progression patients than in disease control patients (Figure 3(b)). Of particular importance was the fact that the statistically significant difference was found in the very early time point (i.e., at <2.0 months) of one-year follow-up. Furthermore, based on analysis of circulating level of EDAc-MPs that was obtained from the cut-off level of ROC, higher circulating levels of this biomarker (i.e., ≥1100.5 counts/mL) were found to be significantly associated with higher one-year mortality, although the significant difference was observed only at a relatively late time of the first-year follow-up (Figure 3(c)). Brain metastasis is an independent factor for predicting one-year survival outcome in ES-NSCLC patients; Kaplan Meyer method also demonstrated the statistical significance between brain metastatic patients and non-brain metastatic patients (Figure 3(d)).

(a)

(b)

(c)

(d)

Figure 3

Kaplan Meyer survival curve (KMSC). (a) The KMSC showing significantly higher one-year mortality rate in male than in female in the same setting of end-stage of non-small cell lung cancer (ES-NSCLC). (b) The KMSC showing significantly higher one-year mortality rate in disease control than in disease progression. (c) The KMSC showing significantly higher one-year mortality rate in circulating level of (EDAc-) MPs ≥ 1100.5 counts/mL than that of this biomarker <1100.5 counts/mL. However, the statistical significance only occurred at late stage of the first year. (d) The KMSC showing significantly higher one-year mortality rate in presence than in absence of brain metastasis.

Liver and brain metastasis would lead to one-year mortality in ES-NSCLC patients; thus, we wished to see the relevance between liver and brain metastasis and four types of MPs. Figures 3(a) and 3(b) demonstrated that patients with liver metastasis would result in higher circulating EDAp-MPs and EDAc-MPs level than patients with non-liver metastasis. Figure 4(c) also showed that patients with brain metastasis had higher circulating EDAc-MPs level than patients with non-brain metastasis. Circulating EDAc-MPs level not only is an independent factor predicting one-year mortality but also highly correlates with liver and brain metastasis in ES-NSCLC patients.

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(b)

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4. Discussion

This study investigated whether level of circulating MPs could be potentially useful as a biomarker in daily clinical practice to predict one-year mortality in ES-NSCLC patients. The findings yielded several clinical implications. First, surprisingly, the circulating levels of PDAc-MPs, PDAp-MPs, and EDAp-MPs did not differ between one-year survivors and one-year nonsurvivors. This finding, although contrary to our expectation, suggested that these three MPs might not be useful as biomarkers for predicting clinical outcome in the ES-NSCLC setting. Second, higher levels of circulating EDAc-MPs were significantly correlated to liver metastasis, disease progression after complete course of first-line treatment, and one-year mortality. Third, male gender was found to be a significant negative determinant of one-year survival. Fourth, increased circulating level of EDAc-MPs along with male gender and brain metastasis were significantly and independently predictive of one-year mortality.

Many studies have shown that circulating MP levels are remarkably increased in various diseases [14, 24–29]. In particular, levels of circulating MPs have been found to be markedly increased in hematological malignancies [28, 29], breast cancer [30], ovarian cancer [39], and colorectal cancer. However, in contrast with these findings [28, 29, 39], limited data is available regarding the association between circulating level of MPs and LC [31, 32], particularly in the ES-NSCLC setting [40]. Our recent study showed that the levels of four types of MP (i.e., PDAc-MPs, PDAp-MPs, EDAp-MPs, and EDAc-MPs) are significantly higher in LC patients than in healthy control subjects [32]. The present study which was designed to extend our earlier study [32] validated those findings, showing that, as compared to healthy control subjects in the study [32], the levels of the four circulating MPs are notably increased in ES-NSCLC patients.

Although radiotherapy and multiagent chemotherapy are used in the treatment of patients with ES-NSCLC, the prognosis remains poor, with a median survival of 6 to 12 months and 1-year survival rates between 20% and 50% [41, 42]. In the current study, the one-year survival rate was 52.3% (i.e., >50%). This finding shows that one-year survival rate in the present study was in line with the literature [41, 42].

A principal finding in the present study was that male gender is independently predictive of one-year mortality. Interestingly, the results from other recent large-sample size clinical trials [43, 44] do not support this finding. We remain uncertain about why our results are inconsistent with other recent studies [43, 44]. Perhaps the relatively small sample size in our study and ethnic difference between our patients and those of two recent studies [43, 44] could explain this discrepancy. Additionally, the EGFR tyrosine kinase has been reported to be expressed on the cell surface of a substantial percentage of NSCLCs [45]. Furthermore, the activating EGFR mutations are more commonly observed in patients with non-squamous cell carcinoma and no prior history of smoking, as well as in females and those of Asian descent [46]. These may be also the reasons for explaining our finding.

Microparticles are considered to be important biological effectors of several different physiological and pathological processes [47, 48]. There is increasing evidence not only of their role in haemostasis and thrombosis, but also of their importance in cancer cell survival, invasiveness, and metastasis [31, 40, 49]. One important finding in the present study was that incidence of liver metastasis was notably increased in one-year nonsurvivors in comparison with one-year survivors. In addition, the disease progression was also significantly higher in the former group of patients than in the latter group of patients. Importantly, brain metastasis which was significantly higher in one-year nonsurvivors than in one-year survivors was found to be independently predictive of one-year mortality. Our findings, therefore, reinforced the findings of the previous studies [31, 40, 49].

The most important finding in the present study was that an increase in circulating level of EDAc-MPs was an independent predictor of one-year mortality. Some recent studies have shown that high levels of MPs consistently correlate with cancer aggressiveness and poor prognosis [47–50]. Accordingly, our present study, in agreement with the prior studies [47–50], further suggests that circulating EDAc-MPs may represent a novel biomarker of LC disease activity and be a useful biomarker predictive of prognostic outcome in patients with ES-NSCLC. Surprisingly, one recent study [40] revealed that elevated levels of MPs were associated with longer survival in patients with ES-NSCLC. We remain uncertain about why these results contrast with ours [40]. We tentatively propose several reasons for the discrepancy. First, the sample size was larger in our study as compared with the previous study [40] (i.e., 107 patients vs. 60 patients) which could, at least in part, explain this different finding. Second, the methodology for measuring the circulating level of MPs was quite different in our study and the earlier study [40]. Third, the measurement of different MPs in the present study and the earlier study [40] could once again explain the different findings.

5. Study Limitations

This study was limited by the following factors. First, although the results are promising, the sample size of this study was relatively small; thus, the conclusions based on the findings of the present study are tentative and care should be taken in extrapolating the results of this study to the clinical setting. Second, the statuses of patients who were enrolled into the study were not completely identical at the enrollment time; that is, some patients had received treatment prior to presentation. Third, this study did not measure whether the “apoptotic” endothelial microvesicles contained the fragments of nuclei. Thus, the result of the study did not completely rule out that the fragments of nuclei also coexisted with membrane fragment of MPs during flow cytometric analysis. Finally, this study did not measure circulating level of the exosomes (derived from endosomal compartments that have size 30–100 nm). Therefore, we did provide the information for whether the exosomes were also an important predictor of prognostic outcome in patients with advanced stage of lung cancer.

In conclusion, we found that increased circulating level of EDAc-MPs was independently predictive of one-year mortality in setting of ES-NSCLC. This finding suggests that EDAc-MPs might have potential as a new biomarker for determining prognostic outcome in patients with ES-NSCLC after first-line treatment.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Authors’ Contribution

Chi-Kung Ho and Meng-Chih Lin have an equal contribution to this study as that of Hon-Kan Yip.

Acknowledgments

The work was supported by a Grant from the Chang Gung Memorial Hospital, Grants (CMRPG8B0011, CMRPG8B0012, and CMRPG8B0013) to Chia-Cheng Tseng, and a Grant (CMRPG880071) to Chin-Chou Wang.

References

A. Jemal, M. M. Center, C. DeSantis, and E. M. Ward, “Global patterns of cancer incidence and mortality rates and trends,” Cancer Epidemiology Biomarkers and Prevention, vol. 19, no. 8, pp. 1893–1907, 2010.
View at: Publisher Site | Google Scholar
S. S. Ramalingam, T. K. Owonikoko, and F. R. Khuri, “Lung cancer: new biological insights and recent therapeutic advances,” CA Cancer Journal for Clinicians, vol. 61, no. 2, pp. 91–112, 2011.
View at: Publisher Site | Google Scholar
A. G. Favaretto, G. Pasello, and C. Magro, “Second and third line treatment in advanced non-small cell lung cancer,” Discovery Medicine, vol. 8, no. 43, pp. 204–209, 2009.
View at: Google Scholar
P. M. Marcus, E. J. Bergstralh, R. M. Fagerstrom et al., “Lung cancer mortality in the Mayo Lung Project: impact of extended follow-up,” Journal of the National Cancer Institute, vol. 92, no. 16, pp. 1308–1316, 2000.
View at: Publisher Site | Google Scholar
P. Maione, A. Rossi, P. C. Sacco, M. A. Bareschino, C. Schettino, and C. Gridelli, “Advances in chemotherapy in advanced non-small-cell lung cancer,” Expert Opinion on Pharmacotherapy, vol. 11, no. 18, pp. 2997–3007, 2010.
View at: Publisher Site | Google Scholar
E. L. Kwak, Y. J. Bang, D. R. Camidge et al., “Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer,” The New England Journal of Medicine, vol. 363, no. 18, pp. 1693–1703, 2010.
View at: Publisher Site | Google Scholar
R. Arriagada, B. Bergman, A. Dunant, T. Le Chevalier, J. Pignon, and J. Vansteenkiste, “Cisplatin-based adjuvant chemotherapy in patients with completely resected non-small-cell lung cancer,” New England Journal of Medicine, vol. 350, no. 4, pp. 351–360, 2004.
View at: Publisher Site | Google Scholar
S. C. Spiro and G. A. Silvestri, “One hundred years of lung cancer,” The American Journal of Respiratory and Critical Care Medicine, vol. 172, no. 5, pp. 523–529, 2005.
View at: Publisher Site | Google Scholar
T. E. Stinchcombe and M. A. Socinski, “Maintenance therapy in advanced non-small cell lung cancer: current status and future implications,” Journal of Thoracic Oncology, vol. 6, no. 1, pp. 174–182, 2011.
View at: Publisher Site | Google Scholar
N. K. Veeramachaneni, R. H. Feins, B. J. K. Stephenson, L. J. Edwards, and F. G. Fernandez, “Management of stage IIIA non-small cell lung cancer by thoracic surgeons in North America,” Annals of Thoracic Surgery, vol. 94, no. 3, pp. 922–928, 2012.
View at: Publisher Site | Google Scholar
R. S. Herbst, A. Onn, and A. Sandler, “Angiogenesis and lung cancer: prognostic and therapeutic implications,” Journal of Clinical Oncology, vol. 23, no. 14, pp. 3243–3256, 2005.
View at: Publisher Site | Google Scholar
T. D. Chanin, D. T. Merrick, W. A. Franklin, and F. R. Hirsch, “Recent developments in biomarkers for the early detection of lung cancer: perspectives based on publications 2003 to present,” Current Opinion in Pulmonary Medicine, vol. 10, no. 4, pp. 242–247, 2004.
View at: Publisher Site | Google Scholar
M. Hassanein, J. C. Callison, C. Callaway-Lane, M. C. Aldrich, E. L. Grogan, and P. P. Massion, “The state of molecular biomarkers for the early detection of lung cancer,” Cancer Prevention Research, vol. 5, no. 8, pp. 992–1006, 2012.
View at: Publisher Site | Google Scholar
H. A. Mostefai, R. Andriantsitohaina, and M. C. Martínez, “Plasma membrane microparticles in angiogenesis: role in ischemic diseases and in cancer,” Physiological Research, vol. 57, no. 3, pp. 311–320, 2008.
View at: Google Scholar
Z. Mallat, H. Benamer, B. Hugel et al., “Elevated levels of shed membrane microparticles with procoagulant potential in the peripheral circulating blood of patients with acute coronary syndromes,” Circulation, vol. 101, no. 8, pp. 841–843, 2000.
View at: Publisher Site | Google Scholar
S. Martin, A. Tesse, B. Hugel et al., “Shed membrane particles from T lymphocytes impair endothelial function and regulate endothelial protein expression,” Circulation, vol. 109, no. 13, pp. 1653–1659, 2004.
View at: Publisher Site | Google Scholar
M. C. Martínez, A. Tesse, F. Zobairi, and R. Andriantsitohaina, “Shed membrane microparticles from circulating and vascular cells in regulating vascular function,” American Journal of Physiology—Heart and Circulatory Physiology, vol. 288, no. 3, pp. H1004–H1009, 2005.
View at: Publisher Site | Google Scholar
A. Mezentsev, R. M. H. Merks, E. O'Riordan et al., “Endothelial microparticles affect angiogenesis in vitro: role of oxidative stress,” American Journal of Physiology. Heart and Circulatory Physiology, vol. 289, no. 3, pp. H1106–H1114, 2005.
View at: Publisher Site | Google Scholar
M. C. Martínez, F. Larbret, F. Zobairi et al., “Transfer of differentiation signal by membrane microvesicles harboring hedgehog morphogens,” Blood, vol. 108, no. 9, pp. 3012–3020, 2006.
View at: Publisher Site | Google Scholar
S. Nomura, Y. Ozaki, and Y. Ikeda, “Function and role of microparticles in various clinical settings,” Thrombosis Research, vol. 123, no. 1, pp. 8–23, 2008.
View at: Publisher Site | Google Scholar
R. F. A. Zwaal and A. J. Schroit, “Pathophysiologic implications of membrane phospholipid asymmetry in blood cells,” Blood, vol. 89, no. 4, pp. 1121–1132, 1997.
View at: Google Scholar
L. L. Horstman and Y. S. Ahn, “Platelet microparticles: a wide-angle perspective,” Critical Reviews in Oncology/Hematology, vol. 30, no. 2, pp. 111–142, 1999.
View at: Publisher Site | Google Scholar
S. Nomura, “Function and clinical significance of platelet-derived microparticles,” International Journal of Hematology, vol. 74, no. 4, pp. 397–404, 2001.
View at: Publisher Site | Google Scholar
S. Nomura, S. Uehata, S. Saito, K. Osumi, Y. Ozeki, and Y. Kimura, “Enzyme immunoassay detection of platelet-derived microparticles and RANTES in acute coronary syndrome,” Thrombosis and Haemostasis, vol. 89, no. 3, pp. 506–512, 2003.
View at: Google Scholar
K. Joop, R. J. Berckmans, R. Nieuwland et al., “Microparticles from patients with multiple organ dysfunction syndrome and sepsis support coagulation through multiple mechanisms,” Thrombosis and Haemostasis, vol. 85, no. 5, pp. 810–820, 2001.
View at: Google Scholar
N. Ogata, M. Imaizumi, S. Nomura et al., “Increased levels of platelet-derived microparticles in patients with diabetic retinopathy,” Diabetes Research and Clinical Practice, vol. 68, no. 3, pp. 193–201, 2005.
View at: Publisher Site | Google Scholar
L. Daniel, F. Fakhouri, D. Joly et al., “Increase of circulating neutrophil and platelet microparticles during acute vasculitis and hemodialysis,” Kidney International, vol. 69, no. 8, pp. 1416–1423, 2006.
View at: Publisher Site | Google Scholar
M. E. T. Tesselaar, F. P. H. T. M. Romijn, I. K. van der Linden, F. A. Prins, R. M. Bertina, and S. Osanto, “Microparticle-associated tissue factor activity: a link between cancer and thrombosis?” Journal of Thrombosis and Haemostasis, vol. 5, no. 3, pp. 520–527, 2007.
View at: Publisher Site | Google Scholar
S. Nomura, H. Kagawa, Y. Ozaki, M. Nagahama, C. Yoshimura, and S. Fukuhara, “Relationship between platelet activation and cytokines in systemic inflammatory response syndrome patients with hematological malignancies,” Thrombosis Research, vol. 95, no. 5, pp. 205–213, 1999.
View at: Publisher Site | Google Scholar
A. Janowska-Wieczorek, L. A. Marquez-Curtis, M. Wysoczynski, and M. Z. Ratajczak, “Enhancing effect of platelet-derived microvesicles on the invasive potential of breast cancer cells,” Transfusion, vol. 46, no. 7, pp. 1199–1209, 2006.
View at: Publisher Site | Google Scholar
S. Kanazawa, S. Nomura, M. Kuwana, M. Muramatsu, K. Yamaguchi, and S. Fukuhara, “Monocyte-derived microparticles may be a sign of vascular complication in patients with lung cancer,” Lung Cancer, vol. 39, no. 2, pp. 145–149, 2003.
View at: Publisher Site | Google Scholar
C.-C. Tseng, C.-C. Wang, H.-C. Chang et al., “Levels of circulating microparticles in lung cancer patients and possible prognostic value,” Disease Markers, vol. 35, no. 5, pp. 301–310, 2013.
View at: Publisher Site | Google Scholar
S. B. Edge and C. C. Compton, “The american joint committee on cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM,” Annals of Surgical Oncology, vol. 17, no. 6, pp. 1471–1474, 2010.
View at: Publisher Site | Google Scholar
E. Dey-Hazra, B. Hertel, T. Kirsch et al., “Detection of circulating microparticles by flow cytometry: influence of centrifugation, filtration of buffer, and freezing,” Vascular Health and Risk Management, vol. 6, no. 1, pp. 1125–1133, 2010.
View at: Publisher Site | Google Scholar
S. Leu, H.-I. Lu, C.-K. Sun et al., “Retention of endothelial progenitor cells in bone marrow in a murine model of endogenous tissue plasminogen activator (tPA) deficiency in response to critical limb ischemia,” International Journal of Cardiology, vol. 170, no. 3, pp. 394–405, 2014.
View at: Publisher Site | Google Scholar
P. Therasse, S. G. Arbuck, E. A. Eisenhauer et al., “New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada,” Journal of the National Cancer Institute, vol. 92, no. 3, pp. 205–216, 2000.
View at: Publisher Site | Google Scholar
M. M. Oken, R. H. Creech, D. C. Tormey et al., “Toxicology and response criteria of the eastern cooperative oncology group,” The American Journal of Clinical Oncology: Cancer Clinical Trials, vol. 5, no. 6, pp. 649–655, 1982.
View at: Google Scholar
M. E. Charlson, P. Pompei, K. L. Ales, and C. R. MacKenzie, “A new method of classifying prognostic comorbidity in longitudinal studies: development and validation,” Journal of Chronic Diseases, vol. 40, no. 5, pp. 373–383, 1987.
View at: Publisher Site | Google Scholar
I. Giusti, S. D'Ascenzo, and V. Dolo, “Microvesicles as potential ovarian cancer biomarkers,” BioMed Research International, vol. 2013, Article ID 703048, 12 pages, 2013.
View at: Publisher Site | Google Scholar
T. Fleitas, V. Martínez-Sales, V. Vila et al., “Circulating endothelial cells and microparticles as prognostic markers in advanced non-small cell lung cancer,” PLoS ONE, vol. 7, no. 10, Article ID e47365, 2012.
View at: Publisher Site | Google Scholar
L. A. Stewart and J. P. Pignon, “Chemotherapy in non-small cell lung cancer: a meta-analysis using updated data on individual patients from 52 randomised clinical trials,” British Medical Journal, vol. 311, no. 7010, pp. 899–909, 1995.
View at: Publisher Site | Google Scholar
S. J. Mandrekar, S. E. Schild, S. L. Hillman et al., “A prognostic model for advanced stage nonsmall cell lung cancer: pooled analysis of north central cancer treatment group trials,” Cancer, vol. 107, no. 4, pp. 781–792, 2006.
View at: Publisher Site | Google Scholar
M. J. Park, J. Lee, J. Y. Hong et al., “Prognostic model to predict outcomes in nonsmall cell lung cancer patients treated with gefitinib as a salvage treatment,” Cancer, vol. 115, no. 7, pp. 1518–1530, 2009.
View at: Publisher Site | Google Scholar
T. Berghmans, M. Paesmans, and J. P. Sculier, “Prognostic factors in stage III non-small lung cancer: a review of conventional, metabolic and new biological variables,” Therapeutic Advances in Medical Oncology, vol. 3, no. 3, pp. 127–138, 2011.
View at: Publisher Site | Google Scholar
L. V. Sequist, D. W. Bell, T. J. Lynch, and D. A. Haber, “Molecular predictors of response to epidermal growth factor receptor antagonists in non-small-cell lung cancer,” Journal of Clinical Oncology, vol. 25, no. 5, pp. 587–595, 2007.
View at: Publisher Site | Google Scholar
H. S. Shim, D. H. Lee, E. J. Park, and S. H. Kim, “Histopathologic characteristics of lung adenocarcinomas with epidermal growth factor receptor mutations in the international association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society lung adenocarcinoma classification,” Archives of Pathology and Laboratory Medicine, vol. 135, no. 10, pp. 1329–1334, 2011.
View at: Publisher Site | Google Scholar
M. Baj-Krzyworzeka, M. Majka, D. Pratico et al., “Platelet-derived microparticles stimulate proliferation, survival, adhesion, and chemotaxis of hematopoietic cells,” Experimental Hematology, vol. 30, no. 5, pp. 450–459, 2002.
View at: Publisher Site | Google Scholar
H. K. Kim, K. S. Song, J. Chung, K. R. Lee, and S. Lee, “Platelet microparticles induce angiogenesis in vitro,” The British Journal of Haematology, vol. 124, no. 3, pp. 376–384, 2004.
View at: Publisher Site | Google Scholar
D. Varon and E. Shai, “Role of platelet-derived microparticles in angiogenesis and tumor progression,” Discovery Medicine, vol. 8, no. 43, pp. 237–241, 2009.
View at: Google Scholar
S. P. Ardoin, J. C. Shanahan, and D. S. Pisetsky, “The role of microparticles in inflammation and thrombosis,” Scandinavian Journal of Immunology, vol. 66, no. 2-3, pp. 159–165, 2007.
View at: Publisher Site | Google Scholar

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Copyright © 2014 Chin-Chou Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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