Literature DB >> 35572814

The Correlation Between Platelet Count and Survival in Prostate Cancer.

Tünde Mezei1, Imre Bőde1, Péter Tenke1, Valéria Jósa2, Keresztély Merkel3, Zsuzsanna Szilasi4, Attila Tordai5, Domokos Máthé6, Zsolt Baranyai7.   

Abstract

Purpose: A number of studies have confirmed that elevated platelet count accompanying various solid tumours is associated with worse survival. However, only meagre data are available on the relationship between thrombocytosis and survival in prostate cancer.
Methods: We conducted a retrospective analysis on clinical-pathological data accumulated from 316 patients during on average 51 months of follow-up after laparoscopic prostatectomy performed for prostate cancer. We analyzed the relationship between platelet count, risk factors, prostate-specific antigen (PSA) and cancer stage with use the Tumor, Node, Metastase system (TNM), as well as surgical margin, and prognosis.
Results: Thrombocytosis occurred in only one out of the 316 patients. The multivariate Cox proportional hazard model showed that preoperative PSA, risk group, preoperative haemoglobin level, and surgical margin status were significant, independent predictors of biochemical progression-free survival. By contrast, age at diagnosis and thrombocytosis had no such predictive value.
Conclusion: We could not demonstrate an association between elevated platelet count and worse survival in our study population of patients with prostate cancer.
© 2022 Mezei et al.

Entities:  

Keywords:  pathomechanism; prognosis; prostate cancer; solid tumor; thrombocytosis

Year:  2022        PMID: 35572814      PMCID: PMC9092472          DOI: 10.2147/RRU.S359715

Source DB:  PubMed          Journal:  Res Rep Urol        ISSN: 2253-2447


Introduction

Cancer of the prostate is the second most common malignancy in males. In 2017, nearly 1.3 million cases were diagnosed and 416,000 related deaths were recorded. During the past decade, the incidence of the disease increased by 42%. Twenty-one per cent of this increment is due to changes in the age distribution and 13% is related to the growth of the population, as well as 8% is the result of changes in age-specific rates.1 While standard assessment tools for risk stratification are informative, prostate cancers may behave uncharacteristically with natural history or relapse patterns that are sometimes unpredictable Similar clinical and histologic patterns at diagnosis may lead to variable clinical outcomes across patients. Consequently, biomarkers that are capable of significantly improving risk stratification, distinguishing indolent versus aggressive prostate cancer, remain an unmet need.2 The measurement of prostate-specific antigen (PSA) level is suitable for establishing the diagnosis and to follow-up the effectiveness of the management of prostate cancer; however, it is inadequate by itself for estimating prognosis. Prostate-specific antigen velocity (PSAV) and PSA doubling time (PSA-DT) may have a prognostic role in treating prostate cancer (PCa) but have limited diagnostic use because of background noise (total prostate volume, and benign prostatic hyperplasia), different intervals between PSA determinations, and acceleration/deceleration of PSAV and PSA-DT over time. Free/total PSA is of no clinical use if the total serum PSA is >10 ng/mL or during follow-up of known PCa. The clinical value of f/t PSA is limited in light of the new diagnostic pathways incorporating Magnetic Resonance Imaging (MRI).3 Increasing evidence suggests that inflammation plays an essential role in cancer development and progression. Several studies demonstrated that inflammation marker neutrophil–lymphocyte ratio (NLR) had prognostic value in localized and advanced PCa; on the contrary, other studies reported that high serum NLR had no prognostic value in patients with PCa.4 Other study shows that systemic immune-inflammation index (SII), which is calculated as SII = platelet × NLR, appear to be a significant diagnostic marker in patients with high-grade PCa.5 Thrombocytosis observed in oncology patients has been reported to entail a worse prognosis in a variety of solid tumours: colorectal,6,7 breast,8 lung,6,9 renal,6,10 cervical,11 ovarian12 and brain tumours.13 Only meagre data are available in the literature on the relationship between thrombocytosis and prostate cancer. Mounce et al suggests little or no true association between high platelet counts (or thrombocytosis) and prostate cancer.14 By contrast, Watts et al found that a higher platelet count was associated with an increased risk of prostate cancer diagnosis, but platelet indices were not associated with prostate cancer mortality.15 Our objective was to ascertain whether prostate cancer is similarly associated with elevated platelet count in our study population, as well as whether any relationship exists between thrombocytosis and progression-free survival or overall survival.5 Due to the meagre results available, we try to place our results in the international literature.

Materials and Methods

We performed a retrospective analysis of the clinical-pathology data of the patients treated with laparoscopic prostatectomy at the “Jahn Ferenc” South-Pest Hospital (Budapest, Hungary) between 2011 and 2014. During this period, all surgical operations were performed at our institute by laparoscopy. The criterion for inclusion was the presence of a histologically confirmed prostate tumour (with the exception of clinical T4, N2, and M+ cases); data from 321 patients in total were analyzed. The presence of a synchronous tumour (other than the prostate cancer), any inflammatory disease (such as pneumonia, abscess, cholecystitis, endocarditis, urinary tract infection, Crohn’s disease, ulcerative colitis), thromboembolic events (deep-vein thrombosis, pulmonary embolism, myocardial infarction), corticosteroid therapy or other diseases that may affect the platelet count (myelodysplastic disease, etc.) were criteria for exclusion, which eliminated five patients altogether from the study. The data gathered during follow-up were analyzed along with the abnormalities detected by physical examination, as well as with the changes in PSA levels. PSA level was measured one month after surgery – then, at 3-month intervals in the first, and at 6-month intervals during the second to fifth postoperative year, and at yearly intervals thereafter. Platelet count was determined preoperatively within 14 days prior to surgery or before the start of neoadjuvant therapy and assessed in the same laboratory. Thrombocytosis was defined as a platelet count exceeding the upper limit of the normal range (>400 G/L), but we also performed analysis between elevated platelet count and survival at other cut-off values (for example, mean platelet value). Anaemia was diagnosed when the haemoglobin level was lower than 130 g/L. The patients were categorized into low-, intermediate-, and high-risk groups according to the classification by D’Amico.16 Within the framework of multimodal management, a proportion of the high-risk patients received neoadjuvant therapy in the form of androgen deprivation (ADT). During surgery, lymph node dissection was performed as recommended by the guideline.3,17 In particular, lymph node dissection was not performed in low-risk cases but was always carried out in high-risk patients. In intermediate-risk patients, the decision to perform lymphadenectomy was based on the Briganti nomogram.18 Patients exhibiting disease progression received ADT, irradiation, or the combination of these modalities. In conformity with the European consensus, progression-free survival (PFS) was defined as survival until biochemical relapse (>0.2 ng/mL increase of PSA level between two subsequent measurements after radical prostatectomy),19 which was the primary endpoint of our study. Overall survival (OS) was calculated from the time of surgery to the tumour-related death of the patient, or to the end of follow-up.

Statistical Methodology

Statistical analyses for categorical variables were performed by the χ2 or the Fisher’s exact tests and for continuous variables by the Mann–Whitney test. PFS and OS data were analyzed by the Log rank test and Kaplan–Meier estimates were computed. In multivariate survival analyses, Cox proportional hazard models were adjusted for age, PSA levels, Gleason score, risk scores, and wound edge positivity. The analyses were performed with the SPSS Statistics Software, version 22. Result is significant if the p-value is less than 0.05.

Results

Clinical pathology data from 316 patients with prostate cancer were analyzed. Patients with T4 stage disease were not operated upon based on the inclusion criteria, as well as those with T1 stage prostate cancer were missing from the study population. The majority of patients belonged to the intermediate-risk group (Table 1).
Table 1

The Clinical Pathology Data of the Subjects

CharacteristicsNumber of Patient (%) n=316
Mean age (years), [range]66 [48–80]
Mean BMI (kg/m2), [range]27.9 [19.8–39.8]
Mean Haemoglobin (g/l), [range]147 [112–177]
Baseline PSA (ng/mL)
 Median [range]9 [2.5–83]
 <10173 (54.7)
 10–20110 (34.8)
 >2033 (10.5)
Risk group
 Low48 (15.2)
 Intermediate142 (44.9)
 High126 (39.9)
Lymph node dissection
 Positive32 (16.1)
 Negative152 (42.1)
 Not performed132 (41.8)
Neoadjuvant androgen deprivation
 Yes53 (16.8)
 No263 (83.2)
Postoperative Gleason score
 <751 (16.1)
 7A (3+4)107 (33.9)
 7B (4+3)75 (23.7)
 >783 (26.3)
Tumour stage
 pT2a32 (10.1)
 pT2b6 (1.9)
 pT2c152 (48.2)
 pT3a76 (24)
 pT3b50 (15.8)
Surgical margin
 Positive88 (27.8)
 Negative228 (72.2)

Abbreviations: BMI, body mass index; PSA, prostate specific antigen.

The Clinical Pathology Data of the Subjects Abbreviations: BMI, body mass index; PSA, prostate specific antigen. The mean duration of follow-up was 51 (5 to 80) months during which disease progression occurred in 25.9% of the patients. Importantly, mean survival was not significantly different between the patient subsets with or without disease progression (48 versus 52 months). Eighty-two per cent of patients with biochemical relapse underwent adjuvant therapy by pelvic irradiation (n = 21), hormone therapy (n = 16), or the combination of these two modalities (n = 30). Six patients (1.89%) died of tumour progression during follow-up. Before surgery, 87 patients (27.5%) were treated with platelet aggregation inhibitors: 68 received acetylsalicylic acid and 19 clopidogrel. The administration of these agents was discontinued before the operation and hence, their effects did not interfere with preoperative laboratory testing. In addition to platelet count, we studied the impact of other factors known to influence survival by performing the Kaplan–Meier univariate analysis (Table 2).
Table 2

The Impact of Platelet Count and of the Known Factors Influencing Survival on PFS (Kaplan–Meier Univariate Analysis)

FactorsSubgroupsnMean Survival (Month)PFS at 60m95% CIp-value
Age (years)<6614968.583%64.4–72.40.002
>6616758.564%53.8–63.2
PSA (µg/L)<914973.188%70.0–76.2<0.0005
>916754.558%60.1–66.4
Surgical marginnegative22870.983%67.9–73.8<0.0005
positive8841.552%35.0–48.0
Gleason score<825666.178%62.8–69.4<0.0005
>86051.152%42.5–59.7
Risklow4875.793%71.1–80.4<0.0005
intermediate14265.777%61.4–70.1
high12655.660%48.9–61.4
Hgb, mean (g/L)<14716156.982%52.0–61.7<0.0005
≥14715568.161%64.4–71.8
PLT, mean (G/L)<21415964.572%60.0–68.90.333
≥21415760.668%59.3–65.0
PLT, dichotomous (G/L)<30029462.672%59.2–65.90.149
>3002270.485%62.3–78.5

Abbreviations: PSF, progression free survival; PSA, prostate specific antigen; Hgb, haemoglobin level; m, months; PLT, platelet count.

The Impact of Platelet Count and of the Known Factors Influencing Survival on PFS (Kaplan–Meier Univariate Analysis) Abbreviations: PSF, progression free survival; PSA, prostate specific antigen; Hgb, haemoglobin level; m, months; PLT, platelet count. Higher haemoglobin levels were associated with significantly longer survival. This correlation was significant (p < 0.0005) even if the median haemoglobin concentration (Hgb <147 g/L) was defined as the cut-off level. Mean platelet count was 214 (114–569) G/L. Thrombocytosis occurred in just one patient and this made further statistical analysis inappropriate. We could not demonstrate a statistically significant correlation between elevated platelet count and survival at other cut-off values either (mean PLT: 214 G/L, p = 0.333, or PLT: 300 G/L, p = 0.149). We also examined whether a lower platelet count is associated with worse survival. Mean platelet count did not increase with the progression of the tumour stage, although there were only six patients with T2b stage disease in the study population (Table 3).
Table 3

Survival Data by Disease Stage and Platelet Count

StagenPFS (Month)DeathsMean/Median Platelet Count (G/L)
T2a3251.21206/203
T2b674.50175/185
T2c15247.92222/209
T3a76400220/214
T3b5029.13220/220

Abbreviation: PFS, progression free survival.

Survival Data by Disease Stage and Platelet Count Abbreviation: PFS, progression free survival. The multivariate Cox proportional hazard model showed that preoperative PSA, preoperative haemoglobin, risk group, and surgical margin status were significant, independent predictors of biochemical PFS. By contrast, age at diagnosis and thrombocytosis had no such predictive value (Table 4).
Table 4

Multivariate Cox Proportional Hazards Model for the Variables Used to Predict the Risk of Disease Progression

VariableHRCIp
Age at surgery (y)
≤661
>661.510.7–3.270.29
Surgical margins
negative1
positive5.583.39–9.2<0.0005
PSA (ng/mL)
≤91
>93.041.7–5.4<0.0005
Platelet count (G/L)
≤4001
>4000.990.98–1.010.871
≤3001
>3000.5230,12–2,260.386
≤2141
>2141.330.64–2.760.44
Risk group
low1
intermediate, high2.151.19–3.880.01
Haemoglobin (g/L)
≤1301
>1300.470.23–0.990.047

Abbreviations: PSA, prostate specific antigen; HR, hazard ratio; CI, confidence interval.

Multivariate Cox Proportional Hazards Model for the Variables Used to Predict the Risk of Disease Progression Abbreviations: PSA, prostate specific antigen; HR, hazard ratio; CI, confidence interval.

Discussion

The pathomechanism of the relationship between solid tumour-associated thrombocytosis and survival is not known. Several hypotheses have been proposed. Platelets may be activated by tumour cells in a process known as the tumour cell-induced platelet aggregation. Platelet activation may occur either by direct interaction with tumour cells,20 or indirectly, through the mediation of adenosine diphosphate (ADP), thromboxane A2, or metalloproteinases.21 Additionally, tumour cells may secrete thrombin, or may stimulate pro-thrombotic activity in other tissues, and can thereby contribute to enhanced platelet activation.22 Activated platelets facilitate the growth of tumour cells by releasing a number of angiogenic and tumour growth factors. These include thrombospondin, platelet factor 4, transforming growth factor-beta, vascular endothelial growth factor (VEGF), and platelet-derived growth factor.23–27 These processes induce angiogenesis, which also leads to the acceleration of tumour growth.28–33 Additionally, tumour cells secrete VEGF which activates the coagulation cascade – this has an activating effect also on platelets and enhances the adhesion of the latter to the endothelial surface of blood vessels in the tumour.31 Accordingly, the tumour cells and the platelets are involved in a mutually potentiating interaction. Activated platelets release micro-vesicles which increase the invasive potential of the tumour cells.34 These observations led to the conclusion that the emboli containing platelets and tumour cells contribute to the formation of tumour metastases. Moreover, the platelets form a cloak around tumour cells and thereby prevent their recognition by the natural killer cells.35 Platelets can also interfere with dendritic cells, neutrophils, macrophages and lymphocytes and modulate their immunological function.36 In their studies conducted on patients with ovarian cancer, Stone et al found a significant correlation between elevated platelet count, as well as thrombopoietin (TPO) and serum interleukin 6 (IL-6) levels.37 Based on their findings, the authors suggested the possible existence of a paracrine-mediated, paraneoplastic pathway, where IL-6 expressed and secreted by the ovarian tumour enhances the synthesis of TPO by the liver. The latter increases – through its stimulatory effect on bone marrow – the number of platelets. This process results in tumour-induced thrombocytosis. IL-6 is a multifunctional pro-inflammatory cytokine which is expressed in clinical specimens obtained from patients with prostate cancer and in multiple cell lines.38 The review by NGUYEN et al suggests that IL-6 is a key mediator in several steps of prostate cancer pathogenesis, including the initiation of prostate tumorigenesis, stimulation of tumour growth, induction of aggressive prostate cancer phenotype and promotion tumour metastasis. IL-6 can regulate the expression of androgen-responsive genes in low-androgen conditions and thereby contribute to the emergence of castration-resistant prostate cancer.39 First ADLER et al and WISE et al observed in clinical studies that patients with metastatic or castration-resistant prostate cancer have elevated serum IL-6 levels when compared to that of healthy patients or patients with localized prostate cancer.40,41 CHUNG et al found that only hormone-refractory cell lines express IL-6.42 Biochemical progression-free survival varies between 38% and 51% at 10 years if patients are treated with radical prostatectomy as monotherapy.3 In our study population, biochemical progression-free survival is 74.1% at the mean follow-up of 51 months. So far, all instances of solid tumour-related thrombocytosis were associated with worse survival. However, the definition of thrombocytosis is dependent on the selected cut-off value, and this often makes the comparison of the published data difficult. For example, SHIMODAIRA et al used 300 G/L as cut-off value,43 whereas GUTIONTOV et al used 187 G/L.44 According to the literature, the prevalence of thrombocytosis ranges between 8% and 49% in colorectal cancer, 2.7% and 8.2% in hepatic tumours, and 16% and 27% in pancreatic tumours.7 In contrast with the findings from studies conducted in other malignancies, we could not demonstrate a statistical relationship between elevated platelet count and poor survival in patients with prostate cancer. We measured a platelet count corresponding to the upper limit of the normal range (400 G/L) in just one patient (0.3%) – this proportion is lower than that characteristic of the general population without malignancy (1.5 to 2.2%).45 SYlman et al found that the use of historical platelet counts greatly improved prediction efforts in prostate cancer (early- and late-stage patient survival both increased by approx. 30%) and temporal evaluation of platelet counts preceding a cancer diagnosis was superior to a single time-point evaluation.46 VIDAL et al demonstrate that in men undergoing RP, there were no significant associations between platelet counts and biochemical recurrence in either white or black men.47 In a retrospective analysis of 364 prostatectomy patients, WONG et al found that only a specific subpopulation of total platelets are an independent predictor of early biochemical recurrence, and they revealed that there was no significant difference between the total platelet counts of tumour-free patients and patients with recurrence.48 GUTIONTOV et al demonstrate that a lower platelet count is associated with an increased biochemical recurrence and a twofold increased rate of distant metastases after prostate radiation therapy.44 Nieder et al, by contrast, reported worse outcomes in patients with metastatic prostate cancer and thrombocytopenia.49 Between 2011 and 2014 there were 55 patients in our institute who were diagnosed with prostate cancer with bone metastasis (Tany, Nany, M1). 87% of the patients had multiple and 13% had oligo metastasis. Mean PLT count was 237 G/L (114–355). Two patients had thrombocytopenia (3,6%) and none of them had thrombocytosis. Neither thrombocytopenia (p = 0.248) nor thrombocytosis was related to overall survival based on Kaplan–Meier analysis. By contrast, SHIMODAIRA et al found that platelet counts were independent prognostic factors in patients with metastatic prostate cancer.43 LEBLANC et al revealed that patients with bone metastases, which are the most frequent metastases in prostate cancer, have higher platelet counts and bad prognoses.50 Our objective was to ascertain whether any relationship exists between thrombocytosis and worse survival in prostate cancer. Prostate cancer has a good prognosis, as the five-year survival rate is 97.8%.51 In our study population, the survival rate is 98.1% after 51 months. We could not demonstrate a statistical relationship between elevated platelet count and poor survival in patients with prostate cancer, because they have a good survival compared with other solid tumors. The 5 year survival rate is 20.5% in lung cancer and 64.6% in colon cancer.51 In both lung and colon cancer, a relationship has been observed between thrombocytosis and worse prognosis.6,7,9 BAILEY et al found the same trend after they investigated 40,000 patients with thrombocytosis in their study, that is, lung and colorectal cancer were much more commonly diagnosed in patients with thrombocytosis than in the general population, whereas breast and prostate cancer were much less commonly diagnosed.45 In a case where a patient’s prognosis is already good, there might be less inclination to use platelet counts as a measure of prognosis. In contrast with other solid tumours, the absence of thrombocytosis in prostate cancer appears intriguing. The prostate is enveloped by a dual-layer capsule: the inner capsule is a thin, fibrous shell – the visceral layer of the pelvic fascia, actually. The venous plexus of the prostate gland is located between the two layers of the capsule. The inner capsule might have a protective function and if this is the case, the tumour is not exposed to the factors that possibly induce thrombocytosis. However, this is contradicted by the fact that we could not detect thrombocytosis even in Stage T3 disease where the tumour extends beyond the capsule. Another possible explanation is the existence of a possible prostate-blood barrier,52 which has been suggested during the management of chronic prostatitis. The active component of the blood-prostate barrier is still unknown; some researchers consider that vascular endothelial cells and the basement membrane constitute this barrier, whereas epithelial cells are deemed essential by others.53 However, even if this prostate-blood barrier existed and functioned similarly to the blood-brain barrier, this hypothesis is contradicted by the fact that thrombocytosis has been detected in patients with brain tumours.13 Furthermore, it should also be noted that prostate cancer most often metastasizes to the bone marrow, that is, to a location where platelets are generated. If we accept that thrombocytosis is caused by the IL-6 produced by prostate cancer cells, while IL-6 is only produced by the hormone-refractory cells, it can explain why none of our patients had thrombocytosis. However, it does not account for the discrepancies found in the literature. The findings of this study have to be seen in light of some limitations. First, this is a single-center, retrospective study. In particular, we studied patients treated by surgery, therefore our study population was not representative of cases with early-stage or advanced metastatic disease.

Conclusion

One can only wonder why we found lower platelet counts in prostate cancer than those published for other solid tumours. Elucidating the underlying cause of this difference might contribute to a better understanding of the relationship between thrombocytosis and solid tumours. It appears worthwhile to repeat our study in a larger patient population with a wider range of tumour stages.
  51 in total

1.  Updated nomogram predicting lymph node invasion in patients with prostate cancer undergoing extended pelvic lymph node dissection: the essential importance of percentage of positive cores.

Authors:  Alberto Briganti; Alessandro Larcher; Firas Abdollah; Umberto Capitanio; Andrea Gallina; Nazareno Suardi; Marco Bianchi; Maxine Sun; Massimo Freschi; Andrea Salonia; Pierre I Karakiewicz; Patrizio Rigatti; Francesco Montorsi
Journal:  Eur Urol       Date:  2011-11-07       Impact factor: 20.096

2.  Platelet and coagulation activation with vascular endothelial growth factor generation in soft tissue sarcomas.

Authors:  H M Verheul; K Hoekman; F Lupu; H J Broxterman; P van der Valk; A K Kakkar; H M Pinedo
Journal:  Clin Cancer Res       Date:  2000-01       Impact factor: 12.531

3.  Platelet aggregation-induced by caco-2 cells: regulation by matrix metalloproteinase-2 and adenosine diphosphate.

Authors:  Carlos Medina; Paul Jurasz; Maria Jose Santos-Martinez; Soon Seog Jeong; Timothy Mitsky; Ridong Chen; Marek W Radomski
Journal:  J Pharmacol Exp Ther       Date:  2006-01-19       Impact factor: 4.030

4.  A blood-prostate barrier restricts cell and molecular movement across the rat ventral prostate epithelium.

Authors:  B R Fulmer; T T Turner
Journal:  J Urol       Date:  2000-05       Impact factor: 7.450

5.  Characterization of the role of IL-6 in the progression of prostate cancer.

Authors:  T D Chung; J J Yu; M T Spiotto; M Bartkowski; J W Simons
Journal:  Prostate       Date:  1999-02-15       Impact factor: 4.104

6.  Molecular Biomarkers in Localized Prostate Cancer: ASCO Guideline.

Authors:  Scott E Eggener; R Bryan Rumble; Andrew J Armstrong; Todd M Morgan; Tony Crispino; Philip Cornford; Theodorus van der Kwast; David J Grignon; Alex J Rai; Neeraj Agarwal; Eric A Klein; Robert B Den; Himisha Beltran
Journal:  J Clin Oncol       Date:  2019-12-12       Impact factor: 44.544

7.  Release of the angiogenic cytokine vascular endothelial growth factor (VEGF) from platelets: significance for VEGF measurements and cancer biology.

Authors:  R E Banks; M A Forbes; S E Kinsey; A Stanley; E Ingham; C Walters; P J Selby
Journal:  Br J Cancer       Date:  1998-03       Impact factor: 7.640

8.  Improved outcomes after radiotherapy for prostate cancer: Anticoagulation, antiplatelet therapy, and platelet count as key factors in disease progression.

Authors:  Stanley I Gutiontov; Kevin S Choe; Jonathan L Miller; Stanley L Liauw
Journal:  Cancer Med       Date:  2020-05-13       Impact factor: 4.452

9.  Levels of a subpopulation of platelets, but not circulating endothelial cells, predict early treatment failure in prostate cancer patients after prostatectomy.

Authors:  C K E Wong; B Namdarian; J Chua; X Chin; R Speirs; T Nguyen; M Fankhauser; J Pedersen; A J Costello; N M Corcoran; C M Hovens
Journal:  Br J Cancer       Date:  2012-10-09       Impact factor: 7.640

10.  Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study.

Authors:  Christina Fitzmaurice; Degu Abate; Naghmeh Abbasi; Hedayat Abbastabar; Foad Abd-Allah; Omar Abdel-Rahman; Ahmed Abdelalim; Amir Abdoli; Ibrahim Abdollahpour; Abdishakur S M Abdulle; Nebiyu Dereje Abebe; Haftom Niguse Abraha; Laith Jamal Abu-Raddad; Ahmed Abualhasan; Isaac Akinkunmi Adedeji; Shailesh M Advani; Mohsen Afarideh; Mahdi Afshari; Mohammad Aghaali; Dominic Agius; Sutapa Agrawal; Ayat Ahmadi; Elham Ahmadian; Ehsan Ahmadpour; Muktar Beshir Ahmed; Mohammad Esmaeil Akbari; Tomi Akinyemiju; Ziyad Al-Aly; Assim M AlAbdulKader; Fares Alahdab; Tahiya Alam; Genet Melak Alamene; Birhan Tamene T Alemnew; Kefyalew Addis Alene; Cyrus Alinia; Vahid Alipour; Syed Mohamed Aljunid; Fatemeh Allah Bakeshei; Majid Abdulrahman Hamad Almadi; Amir Almasi-Hashiani; Ubai Alsharif; Shirina Alsowaidi; Nelson Alvis-Guzman; Erfan Amini; Saeed Amini; Yaw Ampem Amoako; Zohreh Anbari; Nahla Hamed Anber; Catalina Liliana Andrei; Mina Anjomshoa; Fereshteh Ansari; Ansariadi Ansariadi; Seth Christopher Yaw Appiah; Morteza Arab-Zozani; Jalal Arabloo; Zohreh Arefi; Olatunde Aremu; Habtamu Abera Areri; Al Artaman; Hamid Asayesh; Ephrem Tsegay Asfaw; Alebachew Fasil Ashagre; Reza Assadi; Bahar Ataeinia; Hagos Tasew Atalay; Zerihun Ataro; Suleman Atique; Marcel Ausloos; Leticia Avila-Burgos; Euripide F G A Avokpaho; Ashish Awasthi; Nefsu Awoke; Beatriz Paulina Ayala Quintanilla; Martin Amogre Ayanore; Henok Tadesse Ayele; Ebrahim Babaee; Umar Bacha; Alaa Badawi; Mojtaba Bagherzadeh; Eleni Bagli; Senthilkumar Balakrishnan; Abbas Balouchi; Till Winfried Bärnighausen; Robert J Battista; Masoud Behzadifar; Meysam Behzadifar; Bayu Begashaw Bekele; Yared Belete Belay; Yaschilal Muche Belayneh; Kathleen Kim Sachiko Berfield; Adugnaw Berhane; Eduardo Bernabe; Mircea Beuran; Nickhill Bhakta; Krittika Bhattacharyya; Belete Biadgo; Ali Bijani; Muhammad Shahdaat Bin Sayeed; Charles Birungi; Catherine Bisignano; Helen Bitew; Tone Bjørge; Archie Bleyer; Kassawmar Angaw Bogale; Hunduma Amensisa Bojia; Antonio M Borzì; Cristina Bosetti; Ibrahim R Bou-Orm; Hermann Brenner; Jerry D Brewer; Andrey Nikolaevich Briko; Nikolay Ivanovich Briko; Maria Teresa Bustamante-Teixeira; Zahid A Butt; Giulia Carreras; Juan J Carrero; Félix Carvalho; Clara Castro; Franz Castro; Ferrán Catalá-López; Ester Cerin; Yazan Chaiah; Wagaye Fentahun Chanie; Vijay Kumar Chattu; Pankaj Chaturvedi; Neelima Singh Chauhan; Mohammad Chehrazi; Peggy Pei-Chia Chiang; Tesfaye Yitna Chichiabellu; Onyema Greg Chido-Amajuoyi; Odgerel Chimed-Ochir; Jee-Young J Choi; Devasahayam J Christopher; Dinh-Toi Chu; Maria-Magdalena Constantin; Vera M Costa; Emanuele Crocetti; Christopher Stephen Crowe; Maria Paula Curado; Saad M A Dahlawi; Giovanni Damiani; Amira Hamed Darwish; Ahmad Daryani; José das Neves; Feleke Mekonnen Demeke; Asmamaw Bizuneh Demis; Birhanu Wondimeneh Demissie; Gebre Teklemariam Demoz; Edgar Denova-Gutiérrez; Afshin Derakhshani; Kalkidan Solomon Deribe; Rupak Desai; Beruk Berhanu Desalegn; Melaku Desta; Subhojit Dey; Samath Dhamminda Dharmaratne; Meghnath Dhimal; Daniel Diaz; Mesfin Tadese Tadese Dinberu; Shirin Djalalinia; David Teye Doku; Thomas M Drake; Manisha Dubey; Eleonora Dubljanin; Eyasu Ejeta Duken; Hedyeh Ebrahimi; Andem Effiong; Aziz Eftekhari; Iman El Sayed; Maysaa El Sayed Zaki; Shaimaa I El-Jaafary; Ziad El-Khatib; Demelash Abewa Elemineh; Hajer Elkout; Richard G Ellenbogen; Aisha Elsharkawy; Mohammad Hassan Emamian; Daniel Adane Endalew; Aman Yesuf Endries; Babak Eshrati; Ibtihal Fadhil; Vahid Fallah Omrani; Mahbobeh Faramarzi; Mahdieh Abbasalizad Farhangi; Andrea Farioli; Farshad Farzadfar; Netsanet Fentahun; Eduarda Fernandes; Garumma Tolu Feyissa; Irina Filip; Florian Fischer; James L Fisher; Lisa M Force; Masoud Foroutan; Marisa Freitas; Takeshi Fukumoto; Neal D Futran; Silvano Gallus; Fortune Gbetoho Gankpe; Reta Tsegaye Gayesa; Tsegaye Tewelde Gebrehiwot; Gebreamlak Gebremedhn Gebremeskel; Getnet Azeze Gedefaw; Belayneh K Gelaw; Birhanu Geta; Sefonias Getachew; Kebede Embaye Gezae; Mansour Ghafourifard; Alireza Ghajar; Ahmad Ghashghaee; Asadollah Gholamian; Paramjit Singh Gill; Themba T G Ginindza; Alem Girmay; Muluken Gizaw; Ricardo Santiago Gomez; Sameer Vali Gopalani; Giuseppe Gorini; Bárbara Niegia Garcia Goulart; Ayman Grada; Maximiliano Ribeiro Guerra; Andre Luiz Sena Guimaraes; Prakash C Gupta; Rahul Gupta; Kishor Hadkhale; Arvin Haj-Mirzaian; Arya Haj-Mirzaian; Randah R Hamadeh; Samer Hamidi; Lolemo Kelbiso Hanfore; Josep Maria Haro; Milad Hasankhani; Amir Hasanzadeh; Hamid Yimam Hassen; Roderick J Hay; Simon I Hay; Andualem Henok; Nathaniel J Henry; Claudiu Herteliu; Hagos D Hidru; Chi Linh Hoang; Michael K Hole; Praveen Hoogar; Nobuyuki Horita; H Dean Hosgood; Mostafa Hosseini; Mehdi Hosseinzadeh; Mihaela Hostiuc; Sorin Hostiuc; Mowafa Househ; Mohammedaman Mama Hussen; Bogdan Ileanu; Milena D Ilic; Kaire Innos; Seyed Sina Naghibi Irvani; Kufre Robert Iseh; Sheikh Mohammed Shariful Islam; Farhad Islami; Nader Jafari Balalami; Morteza Jafarinia; Leila Jahangiry; Mohammad Ali Jahani; Nader Jahanmehr; Mihajlo Jakovljevic; Spencer L James; Mehdi Javanbakht; Sudha Jayaraman; Sun Ha Jee; Ensiyeh Jenabi; Ravi Prakash Jha; Jost B Jonas; Jitendra Jonnagaddala; Tamas Joo; Suresh Banayya Jungari; Mikk Jürisson; Ali Kabir; Farin Kamangar; André Karch; Narges Karimi; Ansar Karimian; Amir Kasaeian; Gebremicheal Gebreslassie Kasahun; Belete Kassa; Tesfaye Dessale Kassa; Mesfin Wudu Kassaw; Anil Kaul; Peter Njenga Keiyoro; Abraham Getachew Kelbore; Amene Abebe Kerbo; Yousef Saleh Khader; Maryam Khalilarjmandi; Ejaz Ahmad Khan; Gulfaraz Khan; Young-Ho Khang; Khaled Khatab; Amir Khater; Maryam Khayamzadeh; Maryam Khazaee-Pool; Salman Khazaei; Abdullah T Khoja; Mohammad Hossein Khosravi; Jagdish Khubchandani; Neda Kianipour; Daniel Kim; Yun Jin Kim; Adnan Kisa; Sezer Kisa; Katarzyna Kissimova-Skarbek; Hamidreza Komaki; Ai Koyanagi; Kristopher J Krohn; Burcu Kucuk Bicer; Nuworza Kugbey; Vivek Kumar; Desmond Kuupiel; Carlo La Vecchia; Deepesh P Lad; Eyasu Alem Lake; Ayenew Molla Lakew; Dharmesh Kumar Lal; Faris Hasan Lami; Qing Lan; Savita Lasrado; Paolo Lauriola; Jeffrey V Lazarus; James Leigh; Cheru Tesema Leshargie; Yu Liao; Miteku Andualem Limenih; Stefan Listl; Alan D Lopez; Platon D Lopukhov; Raimundas Lunevicius; Mohammed Madadin; Sameh Magdeldin; Hassan Magdy Abd El Razek; Azeem Majeed; Afshin Maleki; Reza Malekzadeh; Ali Manafi; Navid Manafi; Wondimu Ayele Manamo; Morteza Mansourian; Mohammad Ali Mansournia; Lorenzo Giovanni Mantovani; Saman Maroufizadeh; Santi Martini S Martini; Tivani Phosa Mashamba-Thompson; Benjamin Ballard Massenburg; Motswadi Titus Maswabi; Manu Raj Mathur; Colm McAlinden; Martin McKee; Hailemariam Abiy Alemu Meheretu; Ravi Mehrotra; Varshil Mehta; Toni Meier; Yohannes A Melaku; Gebrekiros Gebremichael Meles; Hagazi Gebre Meles; Addisu Melese; Mulugeta Melku; Peter T N Memiah; Walter Mendoza; Ritesh G Menezes; Shahin Merat; Tuomo J Meretoja; Tomislav Mestrovic; Bartosz Miazgowski; Tomasz Miazgowski; Kebadnew Mulatu M Mihretie; Ted R Miller; Edward J Mills; Seyed Mostafa Mir; Hamed Mirzaei; Hamid Reza Mirzaei; Rashmi Mishra; Babak Moazen; Dara K Mohammad; Karzan Abdulmuhsin Mohammad; Yousef Mohammad; Aso Mohammad Darwesh; Abolfazl Mohammadbeigi; Hiwa Mohammadi; Moslem Mohammadi; Mahdi Mohammadian; Abdollah Mohammadian-Hafshejani; Milad Mohammadoo-Khorasani; Reza Mohammadpourhodki; Ammas Siraj Mohammed; Jemal Abdu Mohammed; Shafiu Mohammed; Farnam Mohebi; Ali H Mokdad; Lorenzo Monasta; Yoshan Moodley; Mahmood Moosazadeh; Maryam Moossavi; Ghobad Moradi; Mohammad Moradi-Joo; Maziar Moradi-Lakeh; Farhad Moradpour; Lidia Morawska; Joana Morgado-da-Costa; Naho Morisaki; Shane Douglas Morrison; Abbas Mosapour; Seyyed Meysam Mousavi; Achenef Asmamaw Muche; Oumer Sada S Muhammed; Jonah Musa; Ashraf F Nabhan; Mehdi Naderi; Ahamarshan Jayaraman Nagarajan; Gabriele Nagel; Azin Nahvijou; Gurudatta Naik; Farid Najafi; Luigi Naldi; Hae Sung Nam; Naser Nasiri; Javad Nazari; Ionut Negoi; Subas Neupane; Polly A Newcomb; Haruna Asura Nggada; Josephine W Ngunjiri; Cuong Tat Nguyen; Leila Nikniaz; Dina Nur Anggraini Ningrum; Yirga Legesse Nirayo; Molly R Nixon; Chukwudi A Nnaji; Marzieh Nojomi; Shirin Nosratnejad; Malihe Nourollahpour Shiadeh; Mohammed Suleiman Obsa; Richard Ofori-Asenso; Felix Akpojene Ogbo; In-Hwan Oh; Andrew T Olagunju; Tinuke O Olagunju; Mojisola Morenike Oluwasanu; Abidemi E Omonisi; Obinna E Onwujekwe; Anu Mary Oommen; Eyal Oren; Doris D V Ortega-Altamirano; Erika Ota; Stanislav S Otstavnov; Mayowa Ojo Owolabi; Mahesh P A; Jagadish Rao Padubidri; Smita Pakhale; Amir H Pakpour; Adrian Pana; Eun-Kee Park; Hadi Parsian; Tahereh Pashaei; Shanti Patel; Snehal T Patil; Alyssa Pennini; David M Pereira; Cristiano Piccinelli; Julian David Pillay; Majid Pirestani; Farhad Pishgar; Maarten J Postma; Hadi Pourjafar; Farshad Pourmalek; Akram Pourshams; Swayam Prakash; Narayan Prasad; Mostafa Qorbani; Mohammad Rabiee; Navid Rabiee; Amir Radfar; Alireza Rafiei; Fakher Rahim; Mahdi Rahimi; Muhammad Aziz Rahman; Fatemeh Rajati; Saleem M Rana; Samira Raoofi; Goura Kishor Rath; David Laith Rawaf; Salman Rawaf; Robert C Reiner; Andre M N Renzaho; Nima Rezaei; Aziz Rezapour; Ana Isabel Ribeiro; Daniela Ribeiro; Luca Ronfani; Elias Merdassa Roro; Gholamreza Roshandel; Ali Rostami; Ragy Safwat Saad; Parisa Sabbagh; Siamak Sabour; Basema Saddik; Saeid Safiri; Amirhossein Sahebkar; Mohammad Reza Salahshoor; Farkhonde Salehi; Hosni Salem; Marwa Rashad Salem; Hamideh Salimzadeh; Joshua A Salomon; Abdallah M Samy; Juan Sanabria; Milena M Santric Milicevic; Benn Sartorius; Arash Sarveazad; Brijesh Sathian; Maheswar Satpathy; Miloje Savic; Monika Sawhney; Mehdi Sayyah; Ione J C Schneider; Ben Schöttker; Mario Sekerija; Sadaf G Sepanlou; Masood Sepehrimanesh; Seyedmojtaba Seyedmousavi; Faramarz Shaahmadi; Hosein Shabaninejad; Mohammad Shahbaz; Masood Ali Shaikh; Amir Shamshirian; Morteza Shamsizadeh; Heidar Sharafi; Zeinab Sharafi; Mehdi Sharif; Ali Sharifi; Hamid Sharifi; Rajesh Sharma; Aziz Sheikh; Reza Shirkoohi; Sharvari Rahul Shukla; Si Si; Soraya Siabani; Diego Augusto Santos Silva; Dayane Gabriele Alves Silveira; Ambrish Singh; Jasvinder A Singh; Solomon Sisay; Freddy Sitas; Eugène Sobngwi; Moslem Soofi; Joan B Soriano; Vasiliki Stathopoulou; Mu'awiyyah Babale Sufiyan; Rafael Tabarés-Seisdedos; Takahiro Tabuchi; Ken Takahashi; Omid Reza Tamtaji; Mohammed Rasoul Tarawneh; Segen Gebremeskel Tassew; Parvaneh Taymoori; Arash Tehrani-Banihashemi; Mohamad-Hani Temsah; Omar Temsah; Berhe Etsay Tesfay; Fisaha Haile Tesfay; Manaye Yihune Teshale; Gizachew Assefa Tessema; Subash Thapa; Kenean Getaneh Tlaye; Roman Topor-Madry; Marcos Roberto Tovani-Palone; Eugenio Traini; Bach Xuan Tran; Khanh Bao Tran; Afewerki Gebremeskel Tsadik; Irfan Ullah; Olalekan A Uthman; Marco Vacante; Maryam Vaezi; Patricia Varona Pérez; Yousef Veisani; Simone Vidale; Francesco S Violante; Vasily Vlassov; Stein Emil Vollset; Theo Vos; Kia Vosoughi; Giang Thu Vu; Isidora S Vujcic; Henry Wabinga; Tesfahun Mulatu Wachamo; Fasil Shiferaw Wagnew; Yasir Waheed; Fitsum Weldegebreal; Girmay Teklay Weldesamuel; Tissa Wijeratne; Dawit Zewdu Wondafrash; Tewodros Eshete Wonde; Adam Belay Wondmieneh; Hailemariam Mekonnen Workie; Rajaram Yadav; Abbas Yadegar; Ali Yadollahpour; Mehdi Yaseri; Vahid Yazdi-Feyzabadi; Alex Yeshaneh; Mohammed Ahmed Yimam; Ebrahim M Yimer; Engida Yisma; Naohiro Yonemoto; Mustafa Z Younis; Bahman Yousefi; Mahmoud Yousefifard; Chuanhua Yu; Erfan Zabeh; Vesna Zadnik; Telma Zahirian Moghadam; Zoubida Zaidi; Mohammad Zamani; Hamed Zandian; Alireza Zangeneh; Leila Zaki; Kazem Zendehdel; Zerihun Menlkalew Zenebe; Taye Abuhay Zewale; Arash Ziapour; Sanjay Zodpey; Christopher J L Murray
Journal:  JAMA Oncol       Date:  2019-12-01       Impact factor: 31.777

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  1 in total

1.  The prognostic role of pre-cystectomy thrombocytosis in invasive bladder cancer.

Authors:  Mohamad Abou Chakra; David Azoulai; Mohamad Moussa; Khadija Ismail; Michael Peyromaure; Nicolas Barry Delongchamps; Djillali Saighi; Hugo Bailly; Igor Duquesne
Journal:  Int Urol Nephrol       Date:  2022-08-25       Impact factor: 2.266

  1 in total

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