RESEARCH ARTICLE


Mean Platelet Volume and Red Cell Distribution Width in Differentiated Thyroid Cancer Patients



Hilal Kiziltunc Ozmen1, *
iD
, Seda Askin2
iD
, Eda Simsek3
iD
, Ayse Carlioglu4
iD
, Şenay Arikan4
iD
, Mustafa Utlu4
iD

1 Department of Radiation Oncology, Faculty of Medicine, Ataturk Unıversity, Erzurum, Turkey
2 Department of Medical Biochemistry, Faculty of Medicine, Ataturk Unıversity, Erzurum, Turkey
3 Department of Otorhinolaryngology, Regional Training and Research Hospital, Erzurum, Turkey
4 Department of Endocrinology, Regional Training and Research Hospital, Erzurum, Turkey


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 495
Abstract HTML Views: 221
PDF Downloads: 169
ePub Downloads: 146
Total Views/Downloads: 1031
Unique Statistics:

Full-Text HTML Views: 176
Abstract HTML Views: 134
PDF Downloads: 112
ePub Downloads: 89
Total Views/Downloads: 511



© 2019 Ozmen et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Radiation Oncology, Faculty of Medicine, Ataturk University, 25240 Erzurum, Turkey;
Tel: +90 4423446696; E-mail: hkiziltuncozmen@hotmail.com


Abstract

Aim:

The purpose of this study was to investigate MPV and RDW values in DTC patients.

Background:

Differentiated Thyroid Cancer (DTC) is subdivided into papillary, follicular and papillary micro thyroid cancers. Mean Platelet Volume (MPV) and red cell distribution width (RDW) are markers which have been investigated in many cancers, but no data are available for DTC.

Objective:

MPV and RDW values were assessed in 108 patients with DTC, consisting of 44 with Papillary Thyroid Cancer (PTC) (mean age 43±13.9 years), 34 with Papillary Micro Thyroid Cancer (PmTC) (mean age 43.1 ± 10.6), and 28 with Follicular Cancer (FC) (mean age 46.9±12.5), and 77 control subjects (mean age 47.5±5.9).

Methods:

The patient and control groups were matched in terms of age, and body mass index. All subjects were investigated using platelet and biochemical parameters.

Results:

Both MPV [(PTC, PmTC, and FC) (p=0.000, p=0.000 and p=0.001, respectively)] and RDW (PTC, PmTC, and FC) (p=0.02, p=0.04 and p=0.02, respectively)] values increased in patients with DTC compared to the controls. MPV values were significantly positively correlated with CRP (r=0.247; p=0.043), postoperative thyroglobulin (r=0.246; p=0.03), gamma glutamyl transferase (r=0.024; p=0.762), tumor size (r=0.209; p=0.047) and RDW (r=0.207; p=0.005). Age, gender, total cholesterol, and C-reactive protein were identified as independent predictors of MPV. Adjustment for other these factors produced no alteration in these relative risks at multiple regression analysis.

Conclusion:

Our results suggest that patients with DTC have higher MPV and RDW values than healthy controls. MPV may represent a good follow-up criterion in DTC patients because of its positive correlation with tumor size and thyroglobulin.

Keywords: Mean platelet volume, RDW, Papillary micro thyroid cancer, Papillary thyroid carcinoma, Follicular thyroid carcinoma, Differentiated thyroid cancer.



1. INTRODUCTION

Thyroid cancer accounts for 95% of cancers of the endocrine system and 1.5% of all cancers worldwide. The mortality rate in endocrine cancer was approximately 66% in 2010 [1]. The disease is a heterogeneous one consisting of 80-90% Differentiated Thyroid Cancer (DTC), 5-10% undifferentiated thyroid cancer, and 5% medullary thyroid cancer. In terms of DTC subtypes, 70-80% of Papillary Thyroid Cancer (PTC) cases occur at the ages of 10-60 years, while 20-30% of Follicular Cancer (FC) occur at the ages of 25-70. Peak values are seen in the sixth decade in males and in the fourth and fifth decades in females [2-4]. The objective criterion of the World Health Organization is defined as “Incidentally detected Papillary Micro Thyroid Cancer (PmTC) smaller than 1 cm”. PmTC is a frequently seen variant of PTC. Lesions smaller than 0.2 cm can only be detected using advanced imaging techniques [2, 3]. Although patients with papillary carcinomas causing lymph node metastasis and distant metastasis have been reported, prognosis is generally good [5, 6]. The second most common variety of thyroid cancer is the follicular type, which can spread to distant areas through hematogenous dissemination. In thyroid cancer, tumor size directly affects staging, and elevated thyroglobulin levels indicate recurrence or refractory disease. Tumor staging using the size of the tumor before and three months after surgery is also important for determining the risk of DTC recurrence, classified as low, middle or high, as suggested by the American Thyroid Association (ATA) in 2015, since the TNM staging system indicates the risk of mortality. Thyroglobulin is used post-surgery for this purpose. Mean Platelet Volume (MPV) is an indicator of platelet dimensions, function and activation [7]. The correlation between MPV and many other cancer types has been investigated in previous studies [8-12]. Baldane et al. reported that MPV levels constitute an easily determined biomarker for monitoring the risk of PTC [13]. Red cell Distribution Width (RDW) increases during inflammation and indicates the variability in the dimensions of red blood cells [14, 15]. MPV and RDW have been related to conditions including chronic inflammation in cardiovascular diseases, malignancies, ulcerative colitis, hepatic cirrhosis and systemic lupus erythematosus [16-19].

Up to now, levels of MPV and RDW in the many different studies have been investigated based on between patient and control subjects. The purpose of this study was to investigate MPV and RDW values in patients with PTC, PmTC and FC.

2. MATERIALS AND METHODS

This study was carried out with the approval of the Ethics Committee of the Ataturk University Medical School (protocol number: B.30.2.ATA.0.01.00/125). We investigated 108 patients, 44 with untreated PTC (mean age 43±13.9 years), 34 with PmTC (mean age 43.1±10.6), 28 with FC (mean age 46.9±12.5), and 77 control subjects with nodular benign disease [USG and TNAB (thyroid needle aspiration biopsy) benign patients not undergoing surgery] (mean age 47.5±5.9). Total thyroidectomy was performed on all of the differentiated thyroid cancers. Radioactive iodine therapy was given for treatment PTC and FC, not for PmTC. Approval was granted by the local ethical committee. All patients were diagnosed by the endocrinology outpatient clinic. None of the subjects in this study were taking any medications affecting platelet or lipid funtions. Patients with chronic illness, panhypopituitarism hypo- or hyperthyroidism, nephrotic syndrome, a history of steroid use, diabetes mellitus, obesity, cardiac disease or using any drug known to cause hypogonadism were excluded. None of the study subjects smoked or consumed alcohol. Body Mass Index (BMI) was calculated as the ratio between weight and height squared in kg/m2. Blood samples were collected before surgery. Thyroid hormones, thyroglobulin, TPO, and antithyroglobulin (Antitg) were determined by Abbott Architect i2000 Chemiluminescence Microparticle Immunoassay (CMIA). Blood specimens were collected again after six months for the assessment of thyroglobulin and antithyroglobulin values following levothyroxine therapy. Following 12-h overnight fasting, 10 mL of blood was drawn by venipuncture into heparinized glass tubes. MPV and RDW were measured from blood specimens in EDTA. Complete test parameters were analyzed with biochemical and hematology autoanalysers using commercial kits (Roche and Beckman Coulter). The neck USG was done in sixth months by radiological physician and pathologic LAP and metastatic symptoms were investigated.

Statistical analysis was performed on SPSS 19.0 software (IBM-SPSS, Chicago, USA). Comparisons between groups were performed using Student’s t-test or the Mann-Whitney U test for continuous data. One-tailed Pearson’s correlation analysis or Spearman correlation analysis was used to determine the relations between variables. Logistic regression analysis was performed as appropriate. The chi-square test, chi-square with Yates correction and Fisher’s exact test, as applicable, were used to test associations between two findings. ROC curve analysis was used to assess the cut-off MPV with the best diagnostic accuracy for detecting DTC. P values <0.05 were considered statistically significant.

3. RESULTS

The parameter values and characteristics of the study group are shown in Table 1. The DTC group consisted of 106 patients, and the control group of 77 subjects similar to the DTC group in terms of age, and BMI distribution [PTC:43±13.9 years, 28.3±4.32 (kg/m2); PmTC: 43.1±10.6 years, 27.8 ±5.31 (kg/m2); FC:46.9±12.5 years, 27.18±4.83 (kg/m2); control: 47.5±5.9 years, 25.17±6.33 (kg/m2)]. Preoperative serum MPV values were increased in the PTC (8.87±0.99; p=0.000), PmTC (8.82±1.39; p=0.000) and FC (8.69±0.76; p=0.001) patients compared to the control group (7.82±0.82). As shown in Fig. 1, MPV values in DTC patients were higher than in the control individuals. MPV values were similar between the three DTC groups. Significant decreases in MPV levels were seen after surgery in the DTC patients (PTC=7.47±0,85, p=0.000; PmTC=7.29±1.44, p=0.000; FC=7.30±0.94, p=0.000; C=7.63±1.17, p=0.09) (Fig. 2). Serum RDW values increased in the PTC [13.7(11.6-26.8); p=0.02], PmTC [13.7(11.9-19.6); p=0.048] and FC [13.7(12.6-18.3); p=0.045] patients compared to the control group [13.2(10.46-19.2)]. Table 2 shows that preoperative MPV values were significantly positively correlated with CRP (r=0.247; p=0.043), postoperative thyroglobulin (r=0.246; p=0.03), antithyroglobulin (r=0.282; p=0.01) and RDW (r=0.207; p=0.005). The results of multiple regression analysis of MPV and other risk factors are shown in Table 3. TPO (β=0,021; p=0,257), Antitg (β=0,004; p=0,865) age (ß=-0.002; p=0.947), gender (ß=-0.399; p=0.577), total cholesterol (ß=0.001; p=0.847), and CRP (ß=0.007; p=0.898) were identified as independent predictors of MPV. Adjustment for other these factors produced no alteration in these relative risks. Other platelet counts and biochemical parameters were similar between the patient and control groups. The ROC curve for MPV predicting DTC is shown in Fig. 3. Area under the curve (AUC) was 0.76 (p=0.000). The cut-off point for MPV was >8.4 fL (sensitivity=75.3; specificity=59). There was no pathologic LAP and metastatic sympthoms in the neck USG for DTC patients.

Table 1. The clinical and characteristics values of study subjects.
n PTC PmTC FC Control Group
44 34 28 77
Gender (F/M) 27/17 31/3 24/4 54/23
Age (yr)
BMI (kg/m2)
  43±13.9
  28.3±4.32
43.1±10.6
27.8±5.31
46.9±12.5
27.18±4.83
47.5±5.9
25.17±6.33
MPVpreop (fL)   8.87±0.99 8.82±1.39 8.69±0.76 7.82±0.82
MPVpostop (fL)   7.47±0.85 7.29±1.44 7.30±0.94 7.63±1.17
WBC (103/μ)   8.72±3.04 8.53±2.56 7.97±2.95 8.21±2.75
Plt (x103/μL)   264 ± 66.8 251.5 ± 60.2 261.4 ± 60.7 283.7±68.6
Median RDW count 13.7(11.6-26.8) 13.7(11.9-19.6) 13.7(12.6-18.3) 13.2(10.46-19.2)
MCV (fL) 83.57±10 84.9±6.14 85±6.04 84.7±6.8
Triglyceride(mg/dL) 172.3±83.3 166.1± 58.3 130.1±64.9 151.4±113.9
Glucose (mg/dL)   98.7±26.4 95.3±16.2 91.9±17.8 98.5±16.7
HDL-C(mg/dL)   50.35±17.77 47.48±13.02 48.57±9.99 50.02±13.1
LDL-C(mg/dL)   146.7±116.7 128.2±27.8 117.7±41.1 121.2±36.2
Total-C(mg/dL)   202.4±55.1 200.7±36.4 192.7±46.9 193.3±44.4
ALT (U/L)   24.9±12.9 19.4±9.77 20.6±10.1 23.6±14.3
CRP(mg/dL)   16.3±45.7 3.80±4.70 4.87±7.07 3.83±4.98
fT3 (ng/dL)   3.27±0.94§ 3.03±0.5 3.39±0.78§ 2,71±0.66§
fT4 (ng/dL)   1.27±0.33 1.36±0.3 1.18±0.24 1.1±0.28
TSHpreop (μIU/mL)   1.47±1.31 1.31±1.40 1.43±1.19 1.55±1.37
TSHpostop (μIU/mL)   0.65±0.96 ε£ 0.42±0.06 ε¥ 0.57±0.18£¥ -
Thyroglobulin(ng/mL) 0.19 (0.01- 24) 0.19 (0.19-1.92) 0.43 (0.19-300) 0.46 (0.0-1.18)
Antitg(IU/mL) 153.3±537.6£ 20.36±7.53¥ 124.9±274.9£¥ 55.6±89.7
TPO (ng/mL) 132.4±295.7 178.9±386.5 32.6±44.7 18.6±16.6
Tumor size(mm) 2.54±1.28 £ †ε 0.40±0.27¥ε 2.49±1.36£¥Ω 2.81±2.14

BMI Body Mass Index, MPV Mean platelet volüme, WBC Whıte blood cell, Plt Platelet, RDW Red blood cell distribition width, MCV Mean corpuscular volume, HDL-C High Density Lipoprotein cholesterol, Total-C Total cholesterol, LDL-C Low Density Lipoprotein-cholosterole, ALT Alanıne amino transferase,, CRP C-reactive protein, fT3 freeTriiodothyronine, fT4 free Thyroxine, TPO thyroid peroxidase, TSH thyrotropin, Antitg Antithyroglobulin.
p<0.05 for PmTC patients compared with PTC, p<0.05 for PTC, PmTC, FC patients compared with controls, §p<0.05 for PTC, FC patients compared with controls, p<0.05 for PTC, PmTC patients compared with controls,£p<0.05 for FC patients compared with PTC, ¥p<0.05 for FC patients compared with PmTc, ε p<0.05 for PmTC patients compared with PTC, p<0.05 for PmTC, FC patients compared with controls.

4. DISCUSSION

This is the first study to determine significantly high MPV & RDW values in patients with DTC by comparing PTC, PmTC and FC with a control group. The MPV cut-off point in our study was >8.4 fL, eliciting sensitivity of 75.3% and specificity of 59%. The MPV cut-off point in papillary thyroid carcinoma reported in another study was >7.8 fL, associated with 60% sensitivity and 80% specificity [14]. The sensitivity of MPV in our study was higher than that reported by Baldane et al.

MPV indicates platelet activity. Larger platelets exhibit greater reactivity than smaller platelets [20]. The pathogenesis of several forms of cancer is associated with inflammation and infection. Inflammation is a particularly crucial factor in the development and clinical course of cancer [21]. Inflammation has been reported to exhibit a number of biological effects, such as increased cellular proliferation, angiogenesis, suppression of apoptosis, and impaired adaptation to oxidative stress [22]. Platelets are implicated in the pathogenesis of cancer as a result of their inflammation-related angiogenic, metastatic, and proteolytic properties [23]. MPV reflects platelet activity and is also regarded as an important biological variable. Larger platelets have been shown to exhibit greater metabolic and enzymatic activity than smaller platelets [20]. While previous studies have examined the associations between numerous types of cancer and MPV [8-12], there has been no previous investigation of the relation between PTC and MPV. Research reporting higher preoperative MPV values compared with healthy controls includes recent studies by Kemal et al. involving ovarian cancer [10], studies by Oge et al. involving endometrial cancer [9], and two studies by Kilincalp et al. investigating colorectal cancer [11], and gastric cancer [12]. Significant reductions in MPV values have been observed following surgical tumor excision. Postoperative MPV values were also statistically significantly lower than the pre-operative values in the present study. Previous studies have investigated the association between MPV and cancer in a broad spectrum of cancers [13, 24]. Higher MPV values were reported in one study in patients with thyroid papillary carcinomas compared to subjects with benign goiter and healthy controls. MPV values also decreased after surgery [13]. Significant positive correlations were observed in this study between MPV and DTC, thyroglobulin, tumor size, CRP, RDW and total cholesterol. MPV has also been described as a potential inflammatory marker in various chronic diseases [25-27]. Ours is the first study to demonstrate positive correlations between MPV and tumor size, thyroglobulin and CRP. This suggests that MPV may have the potential for use as a marker in the monitoring of thyroid cancer. Multiple regression analysis revealed significant MPV elevation in DTC independently of age, sex, CRP and total cholesterol.

Table 2. Correlation coefficients determined by simple correlation between the preopMPV and other clinical factors possibly affecting the MPV in differentiated thyroid cancer disease subjects.
Variables Correlation
Coefficient
P value
Age -0.032 0.672
CRP 0.247 0.043*
BMI 0.127 0.367
Thyroglobuline 0.246 0.03*
Antitg 0.282 0.01*
Total cholesterol 0.037 0.655
GGT 0.024 0.762
Tumor sıze 0.209 0.047*
RDW 0.207 0.005*
CRP C-reactive Protein, BMI Body Mass Index, GGT Gamma Glutamyl Transferase, RDW Red blood cell Distribition Width.
* p<0.05 significantly.
Table 3. Multiple regression analysis of clinical factors possibly affecting the MPV in differentiated thyroid cancer subjects adjusted forage.
ß P value
MPV 0.935 0.035*
Age -0.002 0.947
Gender -0.399 0.577
Total cholesterol 0.001 0.847
CRP mg/dL 0.007 0.898
TPO 0.021 0.257
Antitg 0.004 0.865
TPO Thyroid peroksidaz, Antitg Antithyroglobulin.
* p<0.05 significantly.

Inflammation may affect MPV in inflammatory diseases. Ekiz et al. reported increases in the Erythrocyte Sedimentation Rate (ESR) and CRP levels during the active stages of inflammatory diseases [28]. However, no correlation was observed between MPV and inflammatory markers. The present study is a primary report of significant correlations between MPV values and inflammatory markers such as CRP, RDW, tumor size and thyroglobulin in DTC. Malignant cells release cytokines, such as IL-1, and IL-6, and other growth factors, which stimulate platelet production. There is increasing evidence that tumors and endothelial cells are affected by Vascular Endothelial Growth Factor (VEGF), growth factors, and interleukins released by platelets [29]. This may also be involved in the transport of VEGF and platelet-derived Growth Factor (PDGF), representing powerful mitogens for a range of diverse cell types [29, 30]. These anti-angiogenic agents that specifically target these pathways have recently become increasingly used in the treatment of cancer. These agents can also affect platelet activity, which can be calculated on the basis of MPV values. If platelets do play a significant role in tumor angiogenesis, then MPV, an indicator of thrombocytic activity, may also be regarded as a potential marker of such angiogenesis. Mutlu et al. investigated 74 patients with metastatic colonic cancer and reported a significant decrease in MPV levels following treatment with the anti-angiogenic agent bevacizumab [31]. In a study of 148 patients with colorectal cancer, Tuncel et al. reported higher MPV values in patients with metastatic disease than in subjects in the non-metastatic group. Other findings determined in that study included shorter progression-free survival and a poorer response to treatment among patients with higher MPV values in receipt of bevacizumab therapy [32]. The results of that study suggest that increased platelet activity may compromise the efficacy of anti-angiogenic medications. Anti-angiogenic drug use, and particularly sorafenib therapy, has been the subject of considerable recent research in the context of advanced PTC [33]. Our study brings a different perspective on the significance of MPV and RDW in DTCs. Further and comprehensive studies evaluating the correlation between anti-angiogenic treatment and MPV and RDW in DTC patients may be required. Recent studies have demonstrated that RDW is associated with prognosis in several cancers, such as lung cancer [34] and prostate cancer [35]. RDW values in our study were significantly higher in subjects with DTC than in the control group.

CONCLUSION

In conclusion, MPV is an inexpensive method of correlating clinical activity such as thyroglobulin, tumor size and CRP with DTC. In the future, MPV may be used as a disease-activity marker in DTC. The presence of positive thyroglobulin antibodies means that there are some limitations to the use of thyroglobulin in monitoring patients with DTC. Serum thyroglobulin concentrations are used as a tumor marker in monitoring DTC. These should be determined together with Antitg at 6-12-month intervals, depending on the patient’s risk level during follow-up. Increased thyroglobulin values can be valuable in monitoring patients with DTC due to the limitations involved with positive Antitg values. Follow-up neck ultrasonography and whole-body screening can be used together since thyroglobulin cannot be employed with confidence in Antitg positivity. CT, MRI, and 18 FDG-PET/CT can be used if metastasis is suspected [36].Our findings suggest that MPV may be used as a potential biomarker in the diagnosis of patients with DTC. Since MPV can predict thyroglobulin and tumor size, changes in MPV levels can be used as an easily available biomarker for monitoring the risk of DTC in patients with thyroid nodules, thus permitting early diagnosis of DTC. In addition, a postoperative decrease in MPV levels may also be useful in evaluating therapeutic effectiveness in patients with DTC. Further studies are needed for standardization and disponibility of these parameters in patients with DTC.

Fig (1). The mean platelet volume in differentiated thyroid cancer patients was higher than control individuals (P<0.001).

Fig (2). The mean platelet volume levels in preoperative and postoperative differentiated thyroid cancer patients.

Fig (3). ROC curve of MPV predicting differentiated thyroid cancer.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

This study has been carried out with the approval of the Ethics Committee of the Ataturk University Medical School, Turkey (protocol number: B.30.2.ATA.0.01.00/125).

HUMAN AND ANIMAL RIGHTS

No animals were used in this research. All human research procedures were followed in accordance with the ethical standards of the committee responsible for human experimentation (institutional and national), and with the Helsinki Declaration of 1975, as revised in 2013.

CONSENT FOR PUBLICATION

Written and informed consent was obtained from each participant prior to the data collection.

AVAILABILITY OF DATA AND MATERIALS

Not applicable.

FUNDING

None.

CONFLICT OF INTEREST

The authors declare no conflict of interest, financial or otherwise.

ACKNOWLEDGEMENTS

Declared none.

REFERENCES

[1] Jemal A, Siegel R, Ward EM. Cancer facts and figures atlanta, georgia; cancer facts and figures is an annual publication of the American Cancer Society 2010; 20-21.
[2] Nikiforov YE, Ohori NP. Papillary carcinoma.Diagnostic pathology and molecular genetics of the thyroid 2009; 160-214.
[3] World Health Organization Classification of Tumors. Pathology& Genetics: Tumors of Endocrine Organs 2004.
[4] Hundahl SA, Fleming ID, Fremgen AM, Menck HR. A National Cancer Data Base report on 53,856 cases of thyroid carcinoma treated in the U.S., 1985-1995. Cancer 1998; 83(12): 2638-48.
[5] Khanafshar E, Lloyd RV. The spectrum of papillary thyroid carcinoma variants. Adv Anat Pathol 2011; 18(1): 90-7.
[6] Lee KJ, Cho YJ, Kim SJ, et al. Analysis of the clinicopathologic features of papillary thyroid microcarcinoma based on 7-mm tumor size. World J Surg 2011; 35(2): 318-23.
[7] Greisenegger S, Endler G, Hsieh K, Tentschert S, Mannhalter C, Lalouschek W. Is elevated mean platelet volume associated with a worse outcome in patients with acute ischemic cerebrovascular events? Stroke 2004; 35(7): 1688-91.
[8] Cho SY, Yang JJ, You E, et al. Mean platelet volume/platelet count ratio in hepatocellular carcinoma. Platelets 2013; 24(5): 375-7.
[9] Oge T, Yalcin OT, Ozalp SS, Isikci T. Platelet volume as a parameter for platelet activation in patients with endometrial cancer. J Obstet Gynaecol 2013; 33(3): 301-4.
[10] Kemal Y, Demirağ G, Ekiz K, Yücel I. Mean platelet volume could be a useful biomarker for monitoring epithelial ovarian cancer. J Obstet Gynaecol 2014; 34(6): 515-8.
[11] Kilincalp S, Çoban Ş, Akinci H, et al. Neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and mean platelet volume as potential biomarkers for early detection and monitoring of colorectal adenocarcinoma. Eur J Cancer Prev 2015; 24(4): 328-33.
[12] Kılınçalp S, Ekiz F, Başar O, et al. Mean platelet volume could be possible biomarker in early diagnosis and monitoring of gastric cancer. Platelets 2014; 25(8): 592-4.
[13] Baldane S, Ipekci SH, Sozen M, Kebapcilar L. Mean platelet volume could be a possible biomarker for papillary thyroid carcinomas. Asian Pac J Cancer Prev 2015; 16(7): 2671-4.
[14] Hammarsten O, Jacobsson S, Fu M. Red cell distribution width in chronic heart failure: a new independent marker for prognosis? Eur J Heart Fail 2010; 12(3): 213-4.
[15] Lippi G, Targher G, Montagnana M, Salvagno GL, Zoppini G, Guidi GC. Relation between red blood cell distribution width and inflammatory biomarkers in a large cohort of unselected outpatients. Arch Pathol Lab Med 2009; 133(4): 628-32.
[16] Hu ZD, Chen Y, Zhang L, et al. Red blood cell distribution width is a potential index to assess the disease activity of systemic lupus erythematosus. Clin Chim Acta 2013; 425: 202-5.
[17] Akbas EM, Demirtas L, Ozcicek A, et al. Association of epicardial adipose tissue, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio with diabetic nephropathy. Int J Clin Exp Med 2014; 7(7): 1794-801.
[18] Taşoğlu İ, Sert D, Colak N, Uzun A, Songur M, Ecevit A. Neutrophil-lymphocyte ratio and the platelet-lymphocyte ratio predict the limb survival in critical limb ischemia. Clin Appl Thromb Hemost 2014; 20(6): 645-50.
[19] Zahorec R. Ratio of neutrophil to lymphocyte counts--rapid and simple parameter of systemic inflammation and stress in critically ill. Bratisl Lek Listy 2001; 102(1): 5-14.
[20] Mangalpally KK, Siqueiros-Garcia A, Vaduganathan M, Dong JF, Kleiman NS, Guthikonda S. Platelet activation patterns in platelet size sub-populations: differential responses to aspirin in vitro. J Thromb Thrombolysis 2010; 30(3): 251-62.
[21] Kim DK, Oh SY, Kwon HC, et al. Clinical significances of preoperative serum interleukin-6 and C-reactive protein level in operable gastric cancer. BMC Cancer 2009; 9: 155.
[22] Shacter E, Weitzman SA. Chronic inflammation and cancer. Oncology 2002; 16(2): 217-26.
[23] Kisucka J, Butterfield CE, Duda DG, et al. Platelets and platelet adhesion support angiogenesis while preventing excessive hemorrhage. Proc Natl Acad Sci USA 2006; 103(4): 855-60.
[24] Afsar CU, Gunaldi M, Kum P, et al. Pancreatic carcinoma, thrombosis and mean platelet volume: single center experience from the southeast region of Turkey. Asian Pac J Cancer Prev 2014; 15(21): 9143-6.
[25] Kisacik B, Tufan A, Kalyoncu U, et al. Mean platelet volume (MPV) as an inflammatory marker in ankylosing spondylitis and rheumatoid arthritis. Joint Bone Spine 2008; 75(3): 291-4.
[26] Yazici S, Yazici M, Erer B, et al. The platelet indices in patients with rheumatoid arthritis: mean platelet volume reflects disease activity. Platelets 2010; 21(2): 122-5.
[27] Acikgoz N, Karincaoglu Y, Ermis N, et al. Increased mean platelet volume in Behçet’s disease with thrombotic tendency. Tohoku J Exp Med 2010; 221(2): 119-23.
[28] Ekiz O, Balta I, Sen BB, et al. Mean platelet volume in recurrent aphthous stomatitis and Behçet disease. Angiology 2014; 65(2): 161-5.
[29] Sierko E, Wojtukiewicz MZ. Platelets and angiogenesis in malignancy. Semin Thromb Hemost 2004; 30(1): 95-108.
[30] Apte SM, Fan D, Killion JJ, Fidler IJ. Targeting the platelet-derived growth factor receptor in antivascular therapy for human ovarian carcinoma. Clin Cancer Res 2004; 10(3): 897-908.
[31] Mutlu H, Berk V, Karaca H, Erden A, Aslan T, Akca Z. Treatment regimen with bevacizumab decreases mean platelet volume in patients with metastatic colon cancer. Clin Appl Thromb Hemost 2012; 18(5): 546-8.
[32] Tuncel T, Ozgun A, Emirzeoglu L, Celik S, Bilgi O, Karagoz B. Mean platelet volume as a prognostic marker in metastatic colorectal cancer patients treated with bevacizumab-combined chemotherapy. Asian Pac J Cancer Prev 2014; 15(15): 6421-3.
[33] Krajewska J, Jarzab B. Novel therapies for thyroid cancer. Expert Opin Pharmacother 2014; 15(18): 2641-52.
[34] Koma Y, Onishi A, Matsuoka H, et al. Increased red blood cell distribution width associates with cancer stage and prognosis in patients with lung cancer. PLoS One 2013; 8(11)e80240
[35] Albayrak S, Zengin K, Tanik S, Bakirtas H, Imamoglu A, Gurdal M. Red cell distribution width as a predictor of prostate cancer progression. Asian Pac J Cancer Prev 2014; 15(18): 7781-4.
[36] Marcus C, Whitworth PW, Surasi DS, Pai SI, Subramaniam RM. PET/CT in the management of thyroid cancers. AJR Am J Roentgenol 2014; 202(6): 1316-29.