Literature DB >> 30850724

Prognostic Significance of Mean Platelet Volume on Local Advanced Non-Small Cell Lung Cancer Managed with Chemoradiotherapy.

Abdullah Sakin1, Saban Secmeler2, Serdar Arici2, Caglayan Geredeli2, Nurgul Yasar2, Cumhur Demir2, Ferdi Aksaray3, Sener Cihan2.   

Abstract

Mean platelet volume (MPV), the most commonly used measure of platelet size, and is altered in patients with malignancies. The aim of this study was to investigate the effect of MPV on overall survival (OS) of patients with locally advanced (Stage IIIA/B) inoperable non-small cell lung cancer (NSCLC). This retrospective study included patients who received concomitant chemoradiotherapy (CCRT) with cisplatin + etoposide regimen due to locally advanced stage IIIA/B NSCLC. The study included a total of 115 cases, consisting of 110 (95.7%) male and 5 (4.2%) female patients. The mean age of the patients was 61.3 ± 10.4 (22-82) years. ROC curve generated by MPV for OS yielded an AUC of 0.746 (95% CI 0.659-0.833), (p < 0.001). MPV was detected as >9 fL with a sensitivity of 74.4% and a specificity of 72.0%. In patients with stage IIIA, median OS was 45.0 months (95% CI 17.3-74.1) and 21 months (95% CI 10.6-31.3) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (p = 0.013). In patients with stage IIIB, median OS was 44.0 months (95% CI 13.8-60.6) and 16 months (95% CI 9.5-22.4) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (p = 0.036). ECOG performance score, total platelet count, and MPV were found as the most significant independent factors affecting survival (p < 0.001, p = 0.008, and, p = 0.034, respectively). In this study, we showed that decreased pre-treatment MPV was an independent risk factor for survival in NSCLC patients who were administered CCRT. As part of routine complete blood count panel, MPV may represent one of the easiest measuring tools as an independent prognostic marker for survival in locally advanced NSCLC.

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Year:  2019        PMID: 30850724      PMCID: PMC6408473          DOI: 10.1038/s41598-019-40589-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Lung cancer is the most common cancer in the world and is the number one reason for cancer-related mortality in women and men[1]. Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancer cases. Stage III NSCLC contains a heterogeneous group of patients, where the choice of treatment remains controversial[2]. Despite radical surgery, radiotherapy (RT), chemotherapy, and recent modalities such as targeted therapy or immunotherapy, the prognosis is still poor with a 5-year survival rate below 15%[3]. Therefore, investigation of new biomarkers is needed to develop treatment strategies. Platelet volume is determined during both megakaryopoiesis and thrombopoiesis. Megakaryocytic maturation, platelet production, and platelet size can be modulated by cytokines such as interleukin-6 (IL-6), granulocyte colony-stimulating factor (G-CSF) and macrophage colony-stimulating factor (M-CSF)[4], Mean platelet volume (MPV), the most commonly used measure of platelet size, is a marker of platelet activation and is associated with various inflammatory conditions[5]. Large platelets could be more easily stimulated for release of chemical mediators; therefore, they are considered more reactive than small platelets[6]. The studies performed so far reported thrombocytosis as an unfavorable prognostic factor for overall survival (OS) in NSCLC[7,8]. In addition, an earlier study reported that lower MPV was significantly associated with decreased OS in operated NSCLC patients[9]. This study aimed to investigate the effect of MPV on OS in patients who received concurrent chemoradiotherapy with cisplatin + etoposide regimen due to locally advanced stage (IIIA/B) NSCLC.

Results

The study included 115 cases, consisting of 110 (95.7%) male and 5 (4.2%) female patients. The mean age of the patients was 61.3 ± 10.4 (range: 22–82) years. Forty (34.8%) patients were ≥65 years old. Most of patients (93.9%, n = 108) had history of smoking, and among them, 63 (54.8%) patients had smoked >40 pack-years. ECOG PS score was found as 2 in 31 (27%) patients. Distribution of comorbidities showed 37 patients (32.2%) with hypertension (HT) and six patients (5.2%) with diabetes (DM). The mean body mass index (BMI) was 24.4 ± 4.9 kg/m2 (14.1–40.0). Analysis of tumor histology showed 23 cases (20%) with undetermined histologic subtype, 63 cases (54.8%) with squamous cell carcinoma, and the remaining 29 cases (25.4%) with adenocarcinoma. Stage IIIA and IIIB patients constituted 36.5% (n = 42) and 63.5% (n = 73) of the study population, respectively. Seventy-four patients (64.3%) had died during the median 16.2 months’ follow-up (Table 1).
Table 1

Patients’ characteristics by MPV groups.

All patients (n = 115)MPV ≤ 9 (n = 65)MPV > 9 (n = 50)
n%n%n%p
GenderFemale54.346.2120.258
Male11095.76193.84998
Age (years)Mean ± SD (min-max)61.30 ± 10.40 (22–82)61.53 ± 10.25 (40–82)61.0 ± 10.67 (22–80)0.784
<657565.24366.232640.810
 ≥ 654034.82233.81836
Smoking statusNo76.169.2120.136
Yes10893.95990.84998
≤40 (pack-years)5245.23046.222440.818
>40 (pack-years)6354.83553.82856
ECOG PS status0–184734366.241820.058
231272233.8918
HTNo7867.84670.832640.441
Yes3732.21929.21836
DMNo10994.86295.447940.741
Yes65.234.636
BMI (kg/m2)Mean ± SD (min-max)24.48 ± 4.91 (14.19–40.06)22.98 ± 4.37 (14.19–40.06)26.12 ± 5.0 (16.44–37.64) 0.002
Tumor histologyUndetermined subtype2320132010200.984
Squamous cell carcinoma6354.83655.42754
Adenocarcinoma2925.21624.61326
Tumor stageIIIA4236.51827.724480.025
IIIB7363.54772.32652
Final statusAlive4135.71116.93060 <0.001
Dead7464.35483.12040

Abbreviations: BMI, body mass index; ECOG PS, Eastern Cooperative Oncology Group Performance Status; DM, diabetes mellitus; HT, hypertension; Max, maximum; Min, minimum; MPV, mean platelet volume.

Patients’ characteristics by MPV groups. Abbreviations: BMI, body mass index; ECOG PS, Eastern Cooperative Oncology Group Performance Status; DM, diabetes mellitus; HT, hypertension; Max, maximum; Min, minimum; MPV, mean platelet volume. No statistically significant difference was found between MPV groups in terms of mean FPG, creatinine, AST, ALT, GGT, LDH, sodium, potassium, calcium, albumin, WBC, Hb, RDW, TNC, TLC, and TMC. Mean TPC and PDW were significantly higher in MPV ≤ 9 fL group than those in MPV > 9 fL group (p = 0.005 and p = 0.027, respectively), (Table 2).
Table 2

Laboratory values by MPV groups.

TotalMPV ≤ 9 (n = 65)MPV > 9 (n = 50)
NMean ± SD (min-max)NMean ± SD (min-max)NMean ± SD (min-max)p
FPG(mg/dL)109110.3 ± 48.8 (10–292)60107.7 ± 37.8 (64–287)49113.6 ± 50.5 (10–292)0.482
Creatinine(mg/dL)1070.9 ± 0.2 (0.4–1.8)600.9 ± 0.2 (0.5–1.7)470.9 ± 0.2 (0.4–1.8)0.601
AST(U/L)10118.0 ± 7.3 (7–53)5518.1 ± 6.9 (7–41)4617.8 ± 7.8 (8–53)0.851
ALT(U/L)10117.9 ± 13.4 (1–100)5516.2 ± 9.7 (2–49)4620.0 ± 16.7 (1–100)0.159
ALP(U/L)80108.6 ± 51.1 (45–321)47107.7 ± 46.9 (48–307)33109.9 ± 57.2 (45–321)0.852
GGT(U/L)7256.3 ± 73.1 (9–438)4357.9 ± 65.8 (13–333)2953.8 ± 83.9 (9–438)0.817
LDH(U/L)73257.6 ± 274.6 (117–2358)47291.5 ± 334.8 (117–2358)26196.5 ± 69.9 (127–458)0.158
Sodium(mmol/L)59138.4 ± 3.7 (125–148)32137.8 ± 3.8 (125–142)27139.1 ± 3.6 (128–148)0.168
Potassium(mmol/L)594.6 ± 0.5 (3.6–5.8)294.6 ± 0.5 (3.7–5.7)304.5 ± 0.4 (3.6–5.8)0.641
Calcium(mg/dL)559.3 ± 0.5 (7.7–10.6)309.3 ± 0.5 (8.2–10.5)259.4 ± 0.5 (7.7–10.6)0.352
Albumin(g/dL)413.7 ± 0.6 (2.4–4.6)213.6 ± 0.5 (2.63–4.6)203.8 ± 0.6 (2.0–4.6)0.399
WBC(109/U)1159.3 ± 2.9 (4.9–18.0)659.4 ± 2.9 (4.9–18.0)509.0 ± 3.0 (4.9–16.2)0.530
Hb(g/dL)11512.5 ± 1.9 (7.96–17.10)6512.3 ± 1.8 (7.96–10.97)5012.8 ± 2.0 (8–17.1)0.214
TPC(109/U)115345.4 ± 121.4 (76.1–696.0)65373.2 ± 120.1 (211–696)50309.1 ± 114.3 (76.1–647.0) 0.005
PDW(%)11016.6 ± 9.6 (8.2–63.3)6118.4 ± 10.6 (8.2–54.2)4914.3 ± 7.6 (10.0–63.3) 0.027
MPV(fL)1158.8 ± 1.33 (5.8–13.2)657.9 ± 0.8 (5.86–9.0)509.9 ± 0.8 (9.1–13.2) <0.001
RDW(%)9714.9 ± 2.3 (11.0–25.0)4715.4 ± 2.7 (11.9–25.0)5014.5 ± 1.9 (11.0–21.0)0.057
TNC(109/U)1156.4 ± 2.4 (2.1–14.4)656.7 ± 2.4 (3.02–14.40)506.1 ± 2.4 (2.1–10.9)0.19
TLC(109/U)1151.9 ± 0.8 (0.3–4.5)651.7 ± 0.8 (0.34–4.05)502.0 ± 0.8 (0.3–4.5)0.086
TMC(109/U)1140.7 ± 0.3 (0.1–2.4)640.7 ± 0.3 (0.1–1.34)500.7 ± 0.4 (0.1–2.4)0.933

Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; fL, femtoliter; FPG, fasting plasma glucose; Hb, hemoglobin; GGT, gamma-glutamyl transferase; LDH, lactate dehydrogenase; mg/dL, milligram/decilNiter; MPV, mean platelet volume; N, number of patients; PDW, platelet distribution width; RBC, red blood cell; RDW, red blood cell distribution width; U/L, Units per liter; TLC, total lymphocyte count; TMC, total monocyte count; TNC, total neutrophil count; TPC, total platelet count, WBC, white blood cell.

Laboratory values by MPV groups. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; fL, femtoliter; FPG, fasting plasma glucose; Hb, hemoglobin; GGT, gamma-glutamyl transferase; LDH, lactate dehydrogenase; mg/dL, milligram/decilNiter; MPV, mean platelet volume; N, number of patients; PDW, platelet distribution width; RBC, red blood cell; RDW, red blood cell distribution width; U/L, Units per liter; TLC, total lymphocyte count; TMC, total monocyte count; TNC, total neutrophil count; TPC, total platelet count, WBC, white blood cell. In all patients, median OS was 45.0 months (95% CI 35.7–54.2) and 19.0 months (95% CI 12.2–25.7) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (log-rank p < 0.001). Analysis by stages showed median OS as 39.0 months (95% CI 17.3–60.6) and 22.0 months (95% CI 6.6–37.3) in patients with stage IIIA and stage IIIB, respectively (log-rank p = 0.044). In patients with stage IIIA, median OS was found as 45.0 months (95% CI 17.3–74.1) and 21.0 months (95% CI 10.6–31.3) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (log-rank p = 0.013). In patients with stage IIIB, median OS was detected as 44.0 months (95% CI 13.8–60.6) and 16.0 months (95% CI 9.5–22.4) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (log-rank p = 0.036). With regard to tumor histology: In patients with squamous cell carcinoma, median OS was detected as 44.0 months (95% CI 13.8–88.5) and 14.0 months (95% CI 8.8–19.1) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively(log-rank p = 0.039). In patients with adenocarcinoma median OS was not reached and 27.0 months (95% CI 9.9–44.0) in groups with MPV > 9.0 fL and ≤9.0 fL, respectively (log-rank p = 0.044) (Fig. 1).
Figure 1

(A) Overall survival by clinical stages, (B) Overall survival by MPV groups in all patients (C) Overall survival by MPV groups in stage IIIA, (D) Overall survival by MPV groups in stages IIIB, (E) Overall survival by MPV groups in squamous cell carcinoma,(F) Overall survival by MPV groups in adenocarcinoma. Abbreviations: CI, confidence interval; MPV: mean platelet volume, mOS: median overall survival, N, number of patients; OS: overall survival.

(A) Overall survival by clinical stages, (B) Overall survival by MPV groups in all patients (C) Overall survival by MPV groups in stage IIIA, (D) Overall survival by MPV groups in stages IIIB, (E) Overall survival by MPV groups in squamous cell carcinoma,(F) Overall survival by MPV groups in adenocarcinoma. Abbreviations: CI, confidence interval; MPV: mean platelet volume, mOS: median overall survival, N, number of patients; OS: overall survival. In univariate analysis, ECOG PS score, HT, BMI, stage, Hb, TPC, and MPV were found as the most significant independent factors affecting survival (p < 0.001, p = 0.040, p = 0.022, p = 0.045, p = 0.023, p = 0.005, and p = 0.001, respectively). On the other hand, ECOG PS score, TPC, and MPV were the most significant independent factors affecting survival in multivariate analysis (p < 0.001, p = 0.008, and, p = 0.034, respectively), (Table 3).
Table 3

Predictors of the survival.

Univariate analysis for OSMultivariate analysis for OS
HR95% CIpHR95%p
GenderMale vs. female1.1760.427–3.2380.754
Age at diagnosisYears1.0120.988–1.0360.320
Smoking statusCurrent vs. never0.7780.336–1.7990.557
>40 vs.≤40 pack-years1.1170.704–1.7690.639
ECOG PS2 vs. 0–15.1323.131–8.409 <0.001 4.4282.373–8.264 <0.001
HTNo vs. yes0.5470.329–0.908 0.040
DMNo vs. yes0.6290.197–2.0020.433
BMIkg/m20.9320.877–0.990 0.022
Tumor histologyUndetermined subtype1.000 0.113
Squamous carcinoma1.6130.895–2.9050.112
Adenocarcinoma0.9430.460–1.9330.873
StageIIIB vs. IIIA1.6451.001–2.702 0.045
FPG(mg/dL)0.9970.990–1.0020.259
Creatinine(mg/dL)0.8210.313–2.1490.687
AST(U/L)1.0080.972–1.0450.662
ALT(U/L)1.0040.984–1.0250.678
ALP(U/L)1.0020.995–1.0080.546
GGT(U/L)1.0020.999–1.0060.187
LDH(U/L)1.0000.999–1.0010.227
Sodium(mmol/L)0.9690.894–1.0510.449
Potassium(mmol/L)1.1470.565–2.3300.706
Calcium(mg/dL)0.9550.515–1.7690.883
Albumin(g/dL)0.6490.352–1.1930.164
WBC(109/U)1.0550.978–1.1370.164
Hb(g/dL)0.8680.767–0.981 0.023
TPC(103/U)1.0031.000–1.005 0.005 10021000–1005 0,041
PDW(%)1.0210.999–1.0440.053
MPV(fL)0.7670.646–0.910 0.001 0.8070.662–984 0.034
RDW(%)1.0810.984–1.1250.103
TNC(109/U)1.0710.980–1.1710.129
TLC(109/U)0.8800.668–1.1580.362
TMC(109/U)1.8400.897–3.7710.096

Abbreviations: see Table 1 and Table 2.

Predictors of the survival. Abbreviations: see Table 1 and Table 2.

Discussion

A number of prognostic factors has been investigated to predict the clinical course in NSCLC yet many of them could be used in clinical practice[10,11]. In this study, the association of MPV to survival in non-metastatic inoperable NSCLC was evaluated, where a low MPV was determined as an unfavorable risk factor. Recently, association of thrombocytosis to the poor prognosis has been reported in colon, stomach, endometrial, and lung cancer[12-15]. In the last decade, several studies have suggested that platelet activation represents an important biological process in metastasis and carcinogenesis[12]. Previous studies investigated prognostic effect of platelet counts in patients with NSCLC and reported that platelet counts could be used as a prognostic factor. Supporting these reports, increased platelet counts was found to be an independent risk factor in our study. Nevertheless, our study population consisted of locally advanced patients, unlike other studies[8,9,16]. As it was reported to be associated with platelet aggregation, the release of thromboxane B2, and increased expression of platelet adhesions molecule glycoprotein IIB/IIIA, MPV is thought to reflect platelet activity[17-19]. A study reported that microparticles from P-selectin-bearing lung cancer cells activated tissue factor carrying platelets and led to thrombus formation[20]. The tendency of larger platelets to respond stimuli renders them to be selectively consumed, causing decreased MPV of circulating platelets. Recent studies have suggested alteration of MPV levels in various diseases, including a number of cancers[9,16,21]. Several clinical trials reported increased MPV to be associated with thromboembolic diseases such as myocardial infarction[21]. A significant reduction in MPV was demonstrated in cancer patients with bone marrow metastasis compared to control group[22]. Mutlu et al. examined MPV levels in various types of cancer and reported significantly decreased MPV levels during thrombotic events[23]. In addition, Osada et al. reported that MPV was statistically higher in patients with stomach cancer compared to healthy volunteers[24]. Shen et al. reported optimal MPV cut-off value for survival as 4 fL with a 28.2% sensitivity and 85.2% specificity in the study they performed on patients with esophagus cancer. They detected 5-year OS as 47% in the group with high MPV compared to 28.3% in the group with low MPV[25]. Kumagai et al. reported to detect preoperative low MPV as an independent poor prognostic factor in their study with 308 Japanese resected NSCLC patients, where they found the optimal cut-off value as 8.5 fL with a sensitivity of 87.2% and a specificity of 44.1%. The authors further reported 5-year OS as 93.3% in the group with MPV ≥ 8.50 fL compared to 73.6% in the group with MPV < 8.50 fL (p = 0.001)[9]. In addition, Gao et al. in their study of 546 operated Chinese patients, found preoperatively increased TPC and decreased MPV as unfavorable risk factor for survival. They determine the cut-off value of MPV as 11.0. Those with MPV < 11 fL and TPC ≥ 300 × 109 had a 5-year OS of 27.9%, which was significantly lower in those with MPV value above the cut-off point (p < 0.001)[26]. Inagaki et al. reported low MPV/TPC ratio as unfavorable risk factor for OS in the study they performed with 268 advanced stage NSCLC patients. In this study, the number of patients in stage III was only 15[16]. Interestingly, a recent study has reported that increased MPV negatively influenced progression-free survival in patients with metastatic stage EGRF mutant NSCLC adenocarcinoma[27]. Consistent with those in the literature, our study detected declined MPV as an independent risk factor for OS. We determined cut-off value of MPV as 9.0 fL with 74.4% sensitivity and 72.0% specificity. Median OS was 45 months in patients with a MPV value of above 9.0 fL and 19 months in those with MPV ≤ 9.0 (p < 0.001). In stage IIIA stratum, these were 45 months and 21 months, respectively (p = 0.013). Similarly, median OS were 44 months and 16 months, respectively, in patients with stage IIIB NSCLC (p < 0.036). Contrary to previous studies in the literature, our study included patients with locally advanced disease managed with CCRT[7-9,16,26,27]. Nonetheless, the limitations of current study were its retrospective design and comparably lower sample size. Further studies are warranted to elucidate the exact mechanisms how MPV affects prognosis of patients with locally advanced NSCLC. In conclusion, we showed that low pre-treatment MPV was an independent risk factor for survival in NSCLC patients who received cisplatin plus etoposide-based CCRT. As part of routine complete blood count panel, MPV may represent one of the easiest measuring tools as an independent prognostic marker for survival in locally advanced NSCLC.

Methods

Study population

This retrospective study included subjects who received CRT due to locally advanced NSCLC in the department of oncology in Okmeydani Training and Research Hospital, Istanbul between years of 2010 and 2017. Cases with malignancies other than NSCLC, hematological disease, early stage or metastatic disease, infection before the treatment, or using immunosuppressive drugs or acetylsalicylic acid, or those who had incomplete data were not included to the study. Study population consisted of >18-year-old patients who were administered concomitant CRT (CCRT) with cisplatin plus etoposide regimen due to inoperable stage IIIA/B with no distant metastasis. Staging in our hospital is based on pre-treatment 18-fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT), computed tomography, cranial magnetic resonance, and mediastinoscopy findings. Routine blood tests were obtained in all patients by venous sampling after 8 hours of fasting before treatment. For routine biochemical tests, tubes not containing anticoagulants were used and for hemogram we used tubes containing ethylenediamine tetraacetic acid. Complete blood counts were done using by homogram autoanalyzer (Mindray, BC6800 model, China). Biochemical tests were performed by colorimetric method in autoanalyser (Beckman Coulter Brand, AU 5800 model, USA). CCRT consists of cisplatin (50 mg/m2 on days 1, 8, 29, and 36) + etoposide (on days 1–5 and 29–33) regimen. In CCRT, thoracic RT was applied as a total of 60 Gy in 30 fractions of 2 Gy/day.

Data collection

Age, gender, smoking, ECOG PS, comorbidities, histological type, planned treatment, and final status of the patients were obtained from the medical records. Similarly, pre-treatment laboratory parameters including fasting plasma glucose (FPG, creatinine, aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT), lactate dehydrogenase (LDH), sodium, potassium, calcium, albumin, white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin (Hb), hematocrit (Hct), MPV, total platelet count (TPC), total neutrophil count (TNC), total lymphocyte count (TLC), total monocyte count (TMC) were recorded from initial assessment after diagnosis. ROC curve generated for OS by MPV yielded an AUC of 0.746 (95% CI 0.659–0.833, p < 0.001). MPV was detected as >9 fL with a sensitivity of 74.4% and a specificity of 72.0% (Fig. 2). Patients were divided into two groups as having MPV ≤ 9 fL and MPV > 9 fL. Several characteristics of cases were also group as such: the age as <65 or ≥65 years old; ECOG PS as 0–1 or 2; and smoking as non-smoker or smoker and smoking ≤40 or >40 pack-years.
Figure 2

ROC curve analyses for overall survival by MPV is represented by the line with an AUC = 0.746 (95%CI 0.659–0.833, p < 0.001), where the MPV cut-off value was detected as 9.0 fL with a sensitivity of 74.4% and a specificity of 72.0%. : AUC, area under the curve; CI, confidence interval; , mean platelet volume.

ROC curve analyses for overall survival by MPV is represented by the line with an AUC = 0.746 (95%CI 0.659–0.833, p < 0.001), where the MPV cut-off value was detected as 9.0 fL with a sensitivity of 74.4% and a specificity of 72.0%. : AUC, area under the curve; CI, confidence interval; , mean platelet volume.

Statistical analysis

SPSS 15.0 for Windows software was used for the statistical analysis. Descriptive statistics were presented as the mean, standard deviation, minimum, and maximum values for numerical variables; and as number and percentage for categorical variables. Numerical variable between two independent groups were analyzed with student t-test in case of normal distribution and with Mann Whitney U test if else. The comparison of the rates between the groups was performed by chi-square analysis. Monte Carlo simulation was applied if conditions could not be met. Survival analyses were performed with Kaplan-Meier Analysis. Determinant factors were examined with cox regression. Backward stepwise model was used with parameters having a p-value below 0.100. Cut-off value was determined with receiver operating characteristics (ROC) curve analysis. An overall 5% alpha error level was used to infer statistical significance.

Institutional review board statement

The study was performed in accordance with the declaration of Helsinki and was reviewed and approved by the Ethics Committee of the University of Health Sciences, Okmeydani Training and Research Hospital (26.02.2018).

Informed consent statement

Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
  27 in total

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Authors:  Soraya Mezouar; Corinne Frère; Roxane Darbousset; Diane Mege; Lydie Crescence; Françoise Dignat-George; Laurence Panicot-Dubois; Christophe Dubois
Journal:  Thromb Res       Date:  2016-01-09       Impact factor: 3.944

2.  Growth factors and hematopoietic cell fate. A new feature: controversies in hematology

Authors: 
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3.  Mean platelet volume may represent a predictive parameter for overall vascular mortality and ischemic heart disease.

Authors:  Georg Slavka; Thomas Perkmann; Helmuth Haslacher; Stefan Greisenegger; Claudia Marsik; Oswald F Wagner; Georg Endler
Journal:  Arterioscler Thromb Vasc Biol       Date:  2011-02-17       Impact factor: 8.311

4.  Diagnostic Power of Blood Parameters as Screening Markers in Gastric Cancer Patients.

Authors:  Lukasz Pietrzyk; Zbigniew Plewa; Marta Denisow-Pietrzyk; Remigiusz Zebrowski; Kamil Torres
Journal:  Asian Pac J Cancer Prev       Date:  2016

5.  Platelet size as a determinant of platelet function.

Authors:  C B Thompson; J A Jakubowski; P G Quinn; D Deykin; C R Valeri
Journal:  J Lab Clin Med       Date:  1983-02

Review 6.  Survivorship in Non-Small Cell Lung Cancer: Challenges Faced and Steps Forward.

Authors:  Namrata Vijayvergia; Prashant C Shah; Crystal S Denlinger
Journal:  J Natl Compr Canc Netw       Date:  2015-09       Impact factor: 11.908

7.  Prognostic impact of the mean platelet volume/platelet count ratio in terms of survival in advanced non-small cell lung cancer.

Authors:  Noriko Inagaki; Kayoko Kibata; Takeshi Tamaki; Toshiki Shimizu; Shosaku Nomura
Journal:  Lung Cancer       Date:  2013-09-02       Impact factor: 5.705

Review 8.  Prognostic significance of pretreatment elevated platelet count in patients with colorectal cancer: a meta-analysis.

Authors:  Yu Long; Ting Wang; Qian Gao; Chengya Zhou
Journal:  Oncotarget       Date:  2016-12-06

9.  Prognostic value of combination of preoperative platelet count and mean platelet volume in patients with resectable non-small cell lung cancer.

Authors:  Liuwei Gao; Hua Zhang; Bin Zhang; Lianmin Zhang; Changli Wang
Journal:  Oncotarget       Date:  2017-02-28

10.  Mean platelet volume and lymphocyte-to-monocyte ratio are associated with shorter progression-free survival in EGFR-mutant lung adenocarcinoma treated by EGFR tyrosine kinase inhibitor.

Authors:  Kousuke Watanabe; Atsushi Yasumoto; Yosuke Amano; Hidenori Kage; Yasushi Goto; Yutaka Yatomi; Daiya Takai; Takahide Nagase
Journal:  PLoS One       Date:  2018-09-07       Impact factor: 3.240

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  7 in total

1.  Impact of Antiplatelet and Anticoagulant Therapies on Platelet-related Prognostic Markers in Patients With Esophageal Cancer.

Authors:  Yusuke Ishibashi; Hironori Tsujimoto; Keita Kouzu; Yujiro Itazaki; Satoshi Tsuchiya; Seiichiro Fujishima; Yoshihisa Yaguchi; Hidekazu Sugasawa; Shinsuke Nomura; Nozomi Ito; Manabu Harada; Hiromi Nagata; Eiji Shinto; Yoji Kishi; Hideki Ueno
Journal:  In Vivo       Date:  2020 Jul-Aug       Impact factor: 2.155

2.  Mean Platelet Volume Has Prognostic Value in Chronic Lymphocytic Leukemia.

Authors:  Marta Masternak; Bartosz Puła; Joanna Knap; Anna Waszczuk-Gajda; Joanna Drozd-Sokołowska; Kamil Wdowiak; Sebastian Grosicki; Izabela Kozłowska; Marta Kaźmierczak; Anna Łabędź; Łukasz Szukalski; Kamil Wiśniewski; Edyta Subocz; Janusz Hałka; Agnieszka Szymczyk; Marek Hus; Krzysztof Jamroziak; Krzysztof Giannopoulos
Journal:  Cancer Manag Res       Date:  2020-10-12       Impact factor: 3.989

3.  Usefulness of complete blood count parameters to predict poor outcomes in cancer patients with febrile neutropenia presenting to the emergency department.

Authors:  Arom Choi; Incheol Park; Hye Sun Lee; Jinseok Chung; Min Joung Kim; Yoo Seok Park
Journal:  Ann Med       Date:  2022-12       Impact factor: 4.709

4.  Prognostic significance of mean platelet volume in patients with lung cancer: a meta-analysis.

Authors:  Sanjeev Kharel; Suraj Shrestha; Prafulla Shakya; Rohit Rawat; Ramila Shilpakar
Journal:  J Int Med Res       Date:  2022-03       Impact factor: 1.671

Review 5.  Platelets: The Emerging Clinical Diagnostics and Therapy Selection of Cancer Liquid Biopsies.

Authors:  Yiming Meng; Jing Sun; Yang Zheng; Guirong Zhang; Tao Yu; Haozhe Piao
Journal:  Onco Targets Ther       Date:  2021-05-25       Impact factor: 4.147

6.  Function of low ADARB1 expression in lung adenocarcinoma.

Authors:  Xiang Wang; Zhijie Xu; Xinxin Ren; Xi Chen; Jie Wei; Wei Lin; Zhi Li; Chunlin Ou; Zhicheng Gong; Yuanliang Yan
Journal:  PLoS One       Date:  2019-09-06       Impact factor: 3.240

7.  Prognostic and clinicopathological significance of pretreatment mean platelet volume in cancer: a meta-analysis.

Authors:  Xin Chen; Jing Li; Xunlei Zhang; Yushan Liu; Jindong Wu; Yangcheng Li; Xiaopeng Cui; Xiaohui Jiang
Journal:  BMJ Open       Date:  2020-10-27       Impact factor: 2.692

  7 in total

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