Preoperative platelet distribution width predicts breast cancer survival

Effect of preoperative peripheral blood platelet volume index on prognosis in patients with invasive breast cancer

Aim: This study was designed to investigate the prognostic value of the platelet volume index in patients with invasive breast cancer (IBC). Methods: A total of 524 patients with IBC were enrolled in this study, with a median follow-up time of 6.76 years. The relationship between platelet volume indices and breast cancer prognosis was analyzed. Results: There is a strong correlation between a higher platelet distribution width-to-platelet count ratio (PDW/P) and poorer disease-free survival (DFS) in patients with IBC. The DFS rate was significantly lower among individuals with elevated PDW/P ratios compared with those with lower ratios. Conclusion: The PDW/P ratio is an independent risk factor for predicting DFS in patients with IBC.

Increased Platelet Distribution Width Predicts 3-Year Recurrence in Patients with Hepatocellular Carcinoma After Surgical Resection

Background

Platelet distribution width (PDW) is a marker of platelet anisocytosis that increases with platelet activation. The clinical implications of PDW in HCC are not well-defined. This study aimed to determine whether PDW could predict recurrence in patients with HCC after resection.

Methods

Between January and December 2008, 471 patients with HCC were recruited retrospectively. The clinicopathological characteristics of patients with HCC were analyzed based on the relationship between the two PDW groups. Kaplan-Meier curves and multivariate Cox regression analyses were used to evaluate the relationship between PDW and disease-free survival (DFS). A novel nomogram was developed based on the identified independent risk factors. Its accuracy was evaluated using a calibration curve and concordance index. The predictive value was evaluated using a receiver operating characteristic (ROC) curve.

Results

PDW was significantly associated with direct bilirubin, total bilirubin, urea, and prothrombin time. Patients with PDW ≥ 17.1 were a significantly shorter DFS than those with PDW < 17.1 (17.98% vs 49.83%, p< 0.001). Multivariate analysis determined that alpha-fetoprotein (AFP), carcinoembryonic antigen, microvascular invasion (MVI), tumor size, and tumor number were the independent variables associated with DFS. Patients with PDW ≥ 17.1 had a hazard ratio of 1.381 (95% confidence interval: 1.069-1.783, p = 0.014) for DFS. AFP, PDW, MVI, tumor size, and tumor number were identified as preoperative independent risk factors for DFS and used to establish the nomogram. Calibration curve analysis revealed that the standard curve fitted well with the predicted curve. ROC curve analysis demonstrated the high efficiency of the nomogram.

Conclusion

Increased PDW may predict recurrence-free survival in patients with HCC. Our nomogram model also performed well in predicting patient prognoses.

Development and validation of a nomogram to predict Chinese breast cancer risk based on clinical serum biomarkers

Background: This study investigated and compared clinical serum biomarkers and developed a diagnostic nomogram for breast cancer. Methods: A total of 1224 breast cancer and 1280 healthy controls were enrolled. Univariate and multivariate analyses were performed to identify factors and a nomogram was developed. Discrimination, accuracy and clinical utility values were evaluated by receiver operating characteristic, Hosmer-Lemeshow, calibration plots, decision curve analysis and clinical impact plots. Results: carcinoembryonic antigen, CA125, CA153, lymphocyte-to-monocyte ratio, platelet-to-lymphocyte ratio, fibrinogen and platelet distributing width were effectively identified to predict breast cancer. The nomogram showed the area under the curve of 0.708 and 0.710 in the training and validation set. Calibration plots, Hosmer-Lemeshow, decision curve analysis and clinical impact plots confirmed great accuracy and clinical utility. Conclusion: We developed and validated a nomogram that is effectively used for risk prediction of Chinese breast cancer.

The relationship of endometrial pathologies with endometrial thickness and inflammatory markers in breast cancers using tamoxifen

PURPOSE

Some proliferative and neoplastic changes can be seen in the endometrium of breast cancers using tamoxifen adjuvant therapy (TMX-BC). Identifying risk groups is crucial, but methods and frequency of endometrial follow-up are still controversial. This study aimed to investigate the clinical, ultrasonographic, and inflammatory factors to differentiate pathological endometrium in TMX-BC.

METHODS

This study retrospectively analyzed endometrial biopsy results of TMX-BC (n 361). Normal endometrium (Group I, n 237) and pathological endometrium (Group II, n 124) were compared for clinical, ultrasonographic, and inflammatory features. Neutrophil and platelet to lymphocyte ratio (NLR; PLR), mean platelet volume (MPV), platelet distribution width (PDW), red blood cell distribution width (RDW), and lymphocyte-monocyte ratio (LMR) were the inflammatory markers.

RESULTS

The majority of TMX-BC with endometrial biopsy were asymptomatic (72.6%) and had normal endometrium (65.7%). Pathologic endometrium included endometrial polyp (31.9%), endometrial hyperplasia (1.7%), and endometrial cancer (0.8%). The duration of tamoxifen, cancer stage, vaginal bleeding, and menopause was similar in Group I and Group II (p > 0.05). Group II had increased endometrial thickness (11.22 ± 5.44 mm) compared to Group I (8.51 ± 3.43 mm). Group II had higher RDW and PDW than Group I (p < 0.05). Endometrial thickness ≥ 10 mm had significant diagnostic potential in postmenopausal women (AUC 0.676, p 0.000, CI 0.5-0.7), but not in premenopause.

CONCLUSION

PDW and RDW may be promising markers for pathological endometrium differentiation, but these preliminary findings should be validated by clinical studies. Measurement of endometrial thickness in asymptomatic patients may predict high-risk women with pathological endometrium in postmenopausal women. Further studies are needed in premenopausal women and those using tamoxifen for more than 5 years.

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms

Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related deaths in women. Despite several limitations, histopathological information about the malignancy is used for the classification of cancer. The objective of our study is to develop a non-invasive breast cancer classification system for the diagnosis of cancer metastases. The anaconda-Jupyter notebook is used to develop various python programming modules for text mining, data processing, and Machine Learning (ML) methods. Utilizing classification model cross-validation criteria, including accuracy, AUC, and ROC, the prediction performance of the ML models is assessed. Welch Unpaired t-test was used to ascertain the statistical significance of the datasets. Text mining framework from the Electronic Medical Records (EMR) made it easier to separate the blood profile data and identify MBC patients. Monocytes revealed a noticeable mean difference between MBC patients as compared to healthy individuals. The accuracy of ML models was dramatically improved by removing outliers from the blood profile data. A Decision Tree (DT) classifier displayed an accuracy of 83% with an AUC of 0.87. Next, we deployed DT classifiers using Flask to create a web application for robust diagnosis of MBC patients. Taken together, we conclude that ML models based on blood profile data may assist physicians in selecting intensive-care MBC patients to enhance the overall survival outcome.

Platelet count and breast cancer stage

INTRODUCTION

The relationship between increased platelet count and cancer classification stage has long been established. The prevalence of thrombocytosis varies from 10% to 57% in cancer patients. The pathogenesis of thrombocytosis in malignancy is uncertain. However, there is evidence that tumor cells secrete humoral factors that can cause thrombocytosis. Preoperative thrombocytosis is a poor prognostic variable in malignancies. This study investigated the correlation between platelet count and breast cancer stage.

METHODS

This cross-sectional study was conducted from February 2020 to January 2021. Patient data were collected from medical records. The study population comprised breast cancer patients at Dr. Wahidin Sudirohusodo Makassar. The staging examinations were based on the tumor, node, metastasis (TNM) classification according to the American Joint Committee on Cancer (AJCC) 8th Edition.

RESULTS

The study group comprised 171 breast cancer patients of varying ages. Metastasis was present in five (2.92%) patients and absent in 166 (97.8%) patients. Analyses found no statistically significant differences between the three staging groups based on the platelet count (p = 0.952).

CONCLUSION

There was no statistically significant relationship between increased platelet count and staging according to the TNM classification in breast cancer patients.

Preoperative PDW levels predict pulmonary metastasis in patients with hepatocellular carcinoma

Background

In hepatocellular carcinoma (HCC), pulmonary metastasis (PM) after hepatectomy is associated with poor clinical outcomes. The crucial phases of tumour cell proliferation, angiogenesis, and metastasis all entail platelet activation. In HCC, platelet distribution width (PDW) suggests platelet size changes and predicts a worse prognosis. The aim of this study was to assess the association between PDW and PMs in HCC patients receiving hepatectomy.

Material/methods

From January 2013 to December 2015, a cohort of patients who underwent hepatectomy for HCC at the Harbin Medical University Cancer Hospital in China were retrospectively evaluated. The relationship between PDW levels and clinical and demographic parameters was examined. To investigate the relationships between predicted factors and PM, a competing risk model was used. From January 2016 to December 2018, a validation cohort of 109 patients from the First Affiliated Hospital of Harbin Medical University was studied independently.

Results

In the primary cohort, 19 out of 214 patients had postoperative PMs. In HCC patients with PM, PDW levels were lower than in those without PM. There was a significant difference in the cumulative incidence of 2-year PM between the high-PDW and low-PDW groups after controlling for competing risk events (death prior to the development of PM) (p < 0.001). In addition, PDW was also found to be an independent predictor for PM in a multivariable competing risk analysis. The results were externally validated in another cohort.

Conclusions

In HCC, preoperative PDW is significantly associated with PM. PDW could be a biomarker for post-operative PM in HCC patients.

Preoperative Platelet Distribution Width Represents a Novel Prognostic Biomarker in Patients With Nonmetastatic Renal Cell Carcinoma: A Retrospective Clinical Analysis

Purpose

The study aimed to explore the prognostic value of platelet distribution width (PDW) in patients with nonmetastatic renal cell carcinoma (RCC).

Methods

We retrospective analyzed 706 patents with nonmetastatic RCC from January 2015 to December 2017. Clinicopathologic data and platelet indices were collected and analyzed by univariable and multivariable cox proportional hazard model. Progression-free survival (PFS) was analyzed using the Kaplan–Meier curve. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were performed to evaluate the improvement of predictive accuracy.

Results

Patients were divided into low PDW (N = 241, PDW ≤11.7%), intermediate PDW (N = 232, 11.7%< PDW ≤15.6%), and high PDW (N = 233, PDW >15.6%) groups according to the tertiles. Patients with low PDW were associated with more symptoms at presentation, larger tumor size, higher AJCC tumor stage, and more sarcomatoid differentiation. Besides, patients with low PDW had significantly shorter PFS compared to intermediate PDW and high PDW groups. On the multivariable model, AJCC tumor stage, nuclear grade, and PDW (either continuous or categorical variables) were independent factors correlated with PFS. The NRI and IDI showed adding PDW to SSIGN score improves its predictive accuracy related to 2-, 3-, and 4-year PFS.

Conclusions

Low PDW was related to advanced clinicopathologic features and worse prognosis in patients with nonmetastatic RCC. Thus, PDW could serve as a novel biomarker for risk stratification in these patients when used pre-or postoperatively.

Association Between Mean Platelet Volume, Platelet Count, and Distribution Width With Depth of Invasion in Oral Cancers

INTRODUCTION

To examine the potential predictive roles of the preoperative mean platelet volume (MPV), platelet count (PC), and platelet distribution width (PDW) in patients with oral cancer and their association with the depth of invasion (DOI).

METHODS

This retrospective study included 122 patients (66 males, 56 females) diagnosed with oral cancer between January 2009 and January 2015 by our Otolaryngology Department. At diagnosis, the mean age was 64.6 ± 13.9 years. The average follow-up period was 39.2 ± 23.9 months.

RESULTS

We found significant differences in all parameters (PDW, MPV, PC) based on the positivity of the lymph node and the tumor stage. The mean PDW, MPV, and PC were significantly higher in the exitus group than in the survivor group (P = .010, .036, and .047, respectively). In patients with high PDW, we observed a lower progression-free survival. We observed that PDW had a significant impact on the recurrence of the disease. Platelet distribution width, MPV, and PC were significant prognostic factors. A high PDW increased fatality 4.1 times, and a high MPV increased fatality 4.7 times (P = .040 and .032, respectively). We found in a univariate analysis that tumor grade, PDW, MPV, and PC were predictive factors for fatality. On multivariate analysis, we found that MPV, PC, and predictors were independent of tumor grade. We observed an association between MPV and DOI.

CONCLUSION

High PC, MPV, and PDW could be meaningful prognostic predictors for low survival rates. Mean platelet volume appears to be a more effective marker because it is associated with the DOI and prognosis. However, further research is required to confirm our findings.

Prognostic Impact of Platelet-Large Cell Ratio In Myelodysplastic Syndromes

Background

Myelodysplastic syndromes (MDSs) are a very heterogeneous group of myeloid disorders with high prevalence and risk of developing acute myeloid leukemia. The more accurate risk stratification can provide a better guidance of treatment. The platelet–large cell ratio (P-LCR) is a parameter reported in complete blood cell count tests, and was associated with many diseases, but its role in MDS is not clear.

Purpose

This study aims to explore the impact of the P-LCR on the prognosis of patients with MDS, which is of great significance for clinical treatment.

Methods

In the retrospective study, 122 newly diagnosed MDS patients were enrolled. We used the bioinformatics tool X-tile to define a P-LCR threshold of 36.7% to predict prognosis. Patients were divided into P-LCR^low and P-LCR^high groups, and their characteristics were compared between the two groups.

Results

Results show that the P-LCR^low was associated with worse overall survival (OS) than the P-LCR^high patients (median OS, 18.53 months versus 25.77 months, p=0.0057), but there were no statistical differences in progression-free survival (PFS) between the two groups (p=0.2001). The results of univariate and multivariate Cox proportional hazard analyses adjusted for gender, bone marrow blast level, platelet count, and International Prognostic Scoring System scores showed that the P-LCR was useful in the evaluation of PFS [hazard ratio (HR) 0.212, 95%CI 0.064–0.702, p=0.011] and OS of MDS (HR 0.464, 95%CI 0.284–0.757, p=0.002).

Conclusion

This study is the first report showing that the P-LCR would be a simple and immediately available biomarker for predicting the prognosis of MDS.

Prognostic significance of the combination of preoperative red cell distribution width and platelet distribution width in patients with gastric cancer

BACKGROUND

Platelet distribution width (PDW) and red cell distribution width (RDW) are readily obtainable data, and are reportedly useful as prognostic indicators in some cancers. However, their prognostic significance is unclear in gastric cancer (GC).

METHODS

We enrolled 445 patients with histopathological diagnoses of gastric adenocarcinoma who had undergone curative surgeries.

RESULTS

According to the optimal cut-off value of PDW and RDW by receiver operating characteristic (ROC) analysis, we divided patients into PDW^High (≥ 16.75%), PDW^Low (< 16.75%), RDW^High (≥ 14.25%), and RDW^Low (< 14.25%) subgroups. Overall survival (OS) was significantly worse in patients with PDW^High than in those with PDW^Low (P = 0.0015), as was disease specific survival (P = 0.043). OS was also significantly worse in patients with RDW^High than in those with RDW^Low (P <  0.0001), as was disease specific survival (P = 0.0002). Multivariate analysis for OS revealed that both PDW and RDW were independent prognostic indicators. Patients were then given PDW-RDW score by adding points for their different subgroups (1 point each for PDW^High and RDW^High; 0 points for PDW^Low and RDW^Low). OS significantly differed by PDW-RDW score (P <  0.0001), as did disease specific survival (P = 0.0005). In multivariate analysis for OS, PDW-RDW score was found to be an independent prognostic indicator.

CONCLUSIONS

The prognosis of GC patients can be precisely predictable by using both PDW and RDW.

[Overall survival and prognosis of patients with polycythemia vera: an analysis based on 906 patients from a single center]

Objective: To explore predictors of overall survival (OS) in Chinese patients with polycythemia vera (PV) . Methods: A total of 906 consecutive newly diagnosed patients with PV seen at the Blood Diseases Hospital, Chinese Academy of Medical Sciences, from June 2007 to February 2020 were included, and their data were collected. PV was diagnosed according to 2016 World Health Organization (WHO) diagnostic definitions. OS and prognostic factors were retrospectively analyzed. Results: Among the 906 patients, 439 were male (48.5%) and 467 were female (51.5%) . The median age was 57 years (range: 18-91 years) . 31.6% (276/874) of the patients had a thrombosis history at diagnosis, and 4.6% (25/541) of the patients had abnormal cytogenetics. The median follow-up was 54 months (95% confidence interval [CI] 8-130 months) . The 5- and 10-year cumulative deaths were 5.8% (95% CI 4.8%-6.7%) and 11.1% (95% CI 9.3%-12.9%) , respectively. Univariate analysis showed that age ≥60 years, thrombosis history, white blood cells (WBC) ≥15×10(9)/L, platelet (PLT) ≥450×10(9)/L, and platelet distribution width (PDW) ≥15 fl significantly correlated with worse OS, and palpable spleen correlated with better OS. Multivariate analysis showed that age ≥60 years (HR=4.3, 95% CI 2.1-9.2, P<0.001) and PDW ≥15 fl (HR=2.1, 95% CI 1.1-4.0, P=0.023) were independent prognostic factors for worse OS. The 5-year cumulative death for patients with PDW ≥15 fl or PDW<15 fl was 8.6% (95% CI 5.9%-11.3%) or 4.4% (95% CI 3.4%-5.4%) , respectively. The 5-year cumulative death for patients defined as low-, intermediate-, and high-risk patients by international working group score system for PV (IWG-PV) were 0.8% (95 CI 0.2%-1.4%) , 4.0% (95% CI 2.7%-5.3%) , and 12% (95% CI 9.6%-14.4%) , respectively, with a significant difference among the three cohorts (P<0.05) . PDW ≥ 15 fl significantly affected OS for intermediate- and high-risk patients (HR=2.3, 95% CI 1.2-4.2, P=0.009) defined by IWG-PV score system, but not for low-risk patients (HR=3.1, 95% CI 0.2-52.0, P=0.405) . Conclusions: Age ≥60 years and PDW ≥15 fl were independent prognostic factors for worse OS in PV. IWG-PV score system effectively predicted OS for Chinese patients with PV.

Development and validation of nomogram based on a novel platelet index score to predict prognosis in patients with renal cell carcinoma

Purpose: This study aims to develop and validate a nomogram based on a novel platelet index score (PIS) to predict prognosis in patients with renal cell carcinoma (RCC).

Patients and methods: We retrospectively analyzed the data of 759 consecutive patients with RCC. The Kaplan-Meier curves were performed to analyze the platelet parameters and PIS was established. The patients were randomly divided into training (N=456, 60%) and validation cohorts (N=303, 40%). The nomogram was created based on the factors determined by multivariable Cox proportional hazard regression of the training cohort. We assessed the discrimination and calibration of our nomogram in both training and validation cohorts. And then the nomogram was compared with other reported models.

Results: High platelet count (PLT>285×10⁹/L) and low platelet distribution width (PDW≤10.95fL) were associated with shorter progression-free survival (PFS). Thus, PLT and PDW were incorporated in a novel score system called PIS. On multivariable analysis of training cohort, PIS, American Joint Committee on Cancer (AJCC) stage, and sarcomatoid differentiation were independent prognostic factors, which were all selected into the nomogram. The nomogram exhibited good discrimination in both training (C-index: 0.835) and validation cohorts (C-index: 0.883). The calibration curves also showed good agreement between prediction and observation in both cohorts. The C-index of the nomogram (C-index: 0.810~0.902) for predicting 2-year, 3-year, and 4-year PFS were significantly higher than Leibovich (C-index: 0.772~0.813), SSIGN (C-index: 0.775~0.876), Cindolo (C-index: 0.642~0.798), Yaycioglu (C-index: 0.648~0.804), MSKCC (C-index: 0.761~0.862), Karakiewicz (C-index: 0.747~0.851), and AJCC stage models (C-index: 0.759~0.864).

Conclusion: The nomogram based on a novel PIS could offer better risk stratification in patients with RCC.

[Prognostic value of preoperative platelet parameters in locally advanced renal cell carcinoma]

OBJECTIVE

To explore the prognostic value of preoperative platelet parameters in locally advanced renal cell carcinoma for the risk stratification of such patients.

METHODS

Clinical data of patients with locally advanced renal cell carcinoma in the Third Hospital of Peking University from January 2015 to December 2017 were collected. The patients were divided into progression group and progression-free group according to follow-up data, and preoperative platelet parameters and clinical data between the two groups were compared. The optimal cut-off value of platelet parameters was determined by receiver operating characteristic curve (ROC) and analyzed by Kaplan-Meier survival curve. Cox proportional hazards model was used to analyze the independent risk factors of PFS. Time dependent ROC curve, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to evaluate the improvement of SSIGN model by incorporating platelet parameters.

RESULTS

Of the 215 patients, 192 (89.3%) were followed up for a median of 36 months. Sixty-four patients (29.8%) had disease progression during the follow-up, and the median PFS was 46 months. In progression group, the platelet count (PLT) was higher [(250.72 ± 88.59)×10⁹/L vs. (227.27 ± 66.94)×10⁹/L, P=0.042] and the platelet distribution width (PDW) was lower [(12.01 ± 2.27)% vs. (13.31 ± 2.74)%, P = 0.001] than that of progression-free groups. 285×10⁹ /L and 12.65% as the best cut-off values of PLT and PDW, the median PFS of PLT≤285×10⁹ /L group was significantly longer than that of PLT>285×10⁹ /L group (53 months vs. 41 months, P=0.033), and the median PFS of PDW>12.65% group was also significantly longer than that of PDW≤12.65% group (56 months vs. 41 months, P < 0.001). Multivariate analysis showed that preoperative PDW (HR=0.735, P < 0.001), nuclear grade Ⅲ to Ⅳ (HR=2.425, P=0.001) and sarcomatoid differentiation (HR=3.101, P=0.008) were independent risk factors for PFS. The area under the curve of PDW combined with SSIGN model was larger than that with the original SSIGN model [0.748 (95%CI: 0.662－0.833) vs. 0.678 (95%CI: 0.583－0.773), P=0.193], NRI was 0.262 (P=0.04), and IDI was 0.085 (P=0.01), indicating that the predictive ability of PDW combined with SSIGN model was improved.

CONCLUSION

Preoperative high PLT and low PDW are associated with adverse prognosis of locally advanced renal cell carcinoma, and PDW is an independent risk factor. Therefore, preoperative PDW could serve as biomarker for risk stratification of locally advanced renal cell carcinoma.

Low platelet/platelet distribution width and high platelet/lymphocyte ratio are adverse prognostic factors in patients with newly diagnosed advanced Hodgkin lymphoma

We conducted a retrospective study in 274 previously untreated advanced Hodgkin lymphoma (HL) patients to investigate the prognostic value of baseline platelet (PLT) count, platelet distribution width (PDW), mean platelet volume (MPV), and platelet/lymphocyte ratio (PLR). The median follow-up time was 89 (range 0.3-240) months. By univariate analysis, PLT/PDW <24.5, PLR ≥245, and MPV <8fl were all associated with worse freedom from progression (FFP), progression-free survival (PFS), and overall survival (OS). By multivariate analysis, PLT/PDW <24.5 was a risk factor for FFP (HR 2.02, p = 0.002) and PFS (HR 2.36, p < 0.001). PLR ≥245 was independently associated with inferior FFP (HR 2.04, p = 0.003) and PFS (HR 1.93, p = 0.002). Due to the limited number of death events, multivariate analysis was not conducted for OS. Propensity score matching analysis and subgroup analysis further validated the prognostic value for PLT/PDW and PLR. In conclusion, PLT/PDW and PLR are promising prognostic indicators for newly diagnosed advanced HL.

Survival in severe pulmonary hypertension due to chronic lung disease: influence of in-hospital platelet distribution width

Platelet distribution width has been recognized as risk predictors of idiopathic pulmonary arterial hypertension. This study aims to investigate whether in-hospital platelet distribution width would be useful to predict all-cause death in patients with severe pulmonary hypertension due to chronic lung diseases (CLD-PH). Early in-hospital platelet distribution width was measured in 67 severe CLD-PH patients who were confirmed by right heart catheterization and followed up. Event-free survival was estimated using the Kaplan–Meier method and analyzed with the log-rank test. Cox proportional hazards models were performed to determine the association between the platelet distribution width level and all-cause death. During median of 2.4 (2.5, 3.7) years of follow-up, 44 patients died. A significant association was noted between in-hospital platelet distribution width level and the adjusted risk of all-cause mortality (hazard ratio: 1.245; 95% confidence interval: 1.117–1.386, P < 0.001). Compared with those with platelet distribution width <16.1%, the hazard ratio for all-cause death increased by 5.278 (95% confidence interval: 2.711–10.276, P < 0.0001) among patients with platelet distribution width ≥16.1%. Higher levels of platelet distribution width were also associated with increased risk of all-cause death. In-hospital platelet distribution width was independently associated with all-cause death in patients with severe CLD-PH. This potentially could be used to estimate the severity of severe CLD-PH.

Elevated Platelet Distribution Width Predicts Poor Prognosis in Gallbladder Carcinoma

Background

Previous studies have demonstrated that platelet distribution width (PDW) is a reliable predictor of prognosis of a variety of tumors. Nevertheless, the prognostic value of PDW in gallbladder carcinoma (GBC) remains unknown. We aimed to explore the correlation between PDW and prognosis in patients with GBC.

Methods

A total of 303 patients with GBC who underwent curative surgery between January 2005 and February 2017 were enrolled. The relationship between PDW and clinicopathological features was analyzed. Receiver operating characteristic (ROC) curve was used to identify the optimal cutoff value of PDW. The overall survival (OS) rate was estimated by Kaplan–Meier method. Meanwhile, univariable and multivariable Cox regression model were used to evaluate the risk factors for OS.

Results

There was significant correlation between elevated PDW and AJCC stage. In addition, survival analysis revealed that the patients with PDW>14.95 have a worse prognosis than patients with PDW\documentclass[12pt]{minimal} \usepackage{wasysym} \usepackage[substack]{amsmath} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage[mathscr]{eucal} \usepackage{mathrsfs} \DeclareFontFamily{T1}{linotext}{} \DeclareFontShape{T1}{linotext}{m}{n} {linotext }{} \DeclareSymbolFont{linotext}{T1}{linotext}{m}{n} \DeclareSymbolFontAlphabet{\mathLINOTEXT}{linotext} \begin{document} $$ \le $$ \end{document}14.95 (P < 0.001). The multivariable Cox regression model analysis demonstrated that PDW was an independent prognostic factor in GBC patients (hazard ratio=1.976, 95% confidence interval:1.474–2.650, P<0.001).

Conclusion

Elevated PDW can predict poor prognosis in GBC patients, and further studies are needed to verify the reliability and clarify the exact molecular mechanistic of PDW in GBC.

Prognostic value of platelet distribution width and mean platelet volume in patients with laryngeal cancer

Aims: To investigate the prognostic relevance of platelet volume indices for survival in laryngeal cancer. Patients & methods: The study included 640 patients with laryngeal cancer. We analyzed the optimal cutoff values through receiver operating characteristic analysis, then analyzed the univariate factor and multivariate variables. Kaplan-Meier curves and log-rank tests were conducted to compare the overall survival (OS) and recurrence-free survival rates between the groups. Results: In multivariate analysis, elevated platelet distribution width (PDW) and PDW/platelet count ratio were significantly correlated with poor prognosis for OS; however, elevated mean platelet volume (MPV) and MPV/platelet count ratio suggested a notable correlation with favorable prognosis for OS. Meanwhile, elevated PDW and decreased MPV were significantly correlated with poor prognosis for recurrence-free survival. Conclusions: Our findings indicate that elevated PDW and decreased MPV could serve as independent biomarkers for worse survival in laryngeal cancer.

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

OBJECTIVE

Our study aimed to evaluate the prognostic and clinicopathological significance of pretreatment mean platelet volume (MPV) on cancer by using meta-analysis of published studies.

DESIGN

Meta-analysis.

DATA SOURCES

Relevant studies available before 22 December 2019 were identified by searching MEDLINE, EMBASE.

ELIGIBILITY CRITERIA

All published studies that assessed the prognostic and clinicopathological significance of pretreatment MPV on cancer were included.

DATA EXTRACTION AND SYNTHESIS

Studies were identified and extracted by two reviewers independently. The HR/OR and its 95% CIs of survival outcomes and clinicopathological parameters were calculated.

RESULTS

A total of 38 eligible studies (41 subsets) with 9894 patients with cancer were included in the final meta-analysis. MPV level was not significantly associated with both overall survival (HR 0.98, 95% CI 0.84 to 1.14) and disease-free survival (HR 1.22, 95% CI 0.86 to 1.73) of patients with cancer. Neither advanced nor mixed-stage tumour patients showed significant association between MPV and overall survival (HR 1.36, 95% CI 0.96 to 1.94, HR 0.90, 95% CI 0.74 to 1.09). However, high MPV had the strongest relationship with poor overall survival (HR 2.01; 95% CI 1.08 to 3.41) in gastric cancer, followed by pancreatic cancer (HR 1.54; 95% CI 1.31 to 1.82). Whereas in the subgroup using receiver operating characteristic curve method to define cut-off values, low MPV was significantly related to poor overall survival (HR 0.78, 95% CI 0.64 to 0.95). In addition, MPV had no significant association with age (OR 0.96, 95% CI 0.90 to 1.02), sex (OR 1.04, 95% CI 1.00 to 1.09), depth of cancer invasion (OR 0.90, 95% CI 0.77 to 1.04) and tumour stage (OR 0.91, 95% CI 0.78 to 1.07).

CONCLUSIONS

Pretreatment MPV level is of no clearly prognostic significance in cancers and no significant association with clinicopathological parameters of patients with cancers.

Nomograms based on the novel platelet index score predict postoperative prognosis in endometrial cancer

OBJECTIVE

To identify preoperative platelet indexes with prognostic value and to develop and validate nomograms for predicting the survival of endometrial cancer (EC) patients.

METHODS

A total of 1198 women who received primary surgical treatment between January 2008 and January 2017 were included in the study. Data were randomly divided into a training set (70%, N = 840) and an external validation set (30%, n = 358). Cox regression analysis was performed in the training cohort to identify independent prognostic factors and develop nomograms for survival rate prediction.

RESULTS

High platelet count (PLT ≥350), high mean platelet volume (MPV ≥8.8) and low platelet distribution width (PDW <12.1) were independently associated with poor RFS and OS. PLT, MPV and PDW were thus incorporated in an innovative score called the platelet index score (PIS). The PIS was also an independent indicator, which was related to histology, lymph-vascular space invasion, lymph node involvement and FIGO stage (P = 0.007, P = 0.042, P < 0.001 and P < 0.001, respectively). Furthermore, we developed and validated two nomograms based on Cox regression models. The discriminative ability and calibration of the nomograms revealed good predictive ability, as indicated by the C-indexes and calibration plots. Moreover, both the IDI and NRI were improved.

CONCLUSIONS

Nomograms based on the PIS and clinicopathological features accurately predict recurrence-free survival and overall survival for EC patients.

Prognostic evaluation of colorectal cancer using three new comprehensive indexes related to infection, anemia and coagulation derived from peripheral blood

Background: Many indicators of peripheral blood in routine blood test (BRT) results of colorectal cancer (CRC) patients are related to prognosis. Currently, indexes such as NLR (Neutrophil-to- Lymphocyte Ratio), PLR (Platelet-to-Lymphocyte Ratio) and LMR (Lymphocyte-to-Monocyte ratio) evaluate the survival risk of patients by assessing the inflammatory - immune status of CRCs. These indexes are more comprehensive and accurate than independent estimates. We hope to design more effective indexes through fully considering the correlation and significance between BRT indicators and prognosis, so as to play a guiding role in clinical malignant estimation of CRCs.

Methods: 701 CRCs in training set and 256 CRCs in test set were included in the study samples, and their clinical data, tumor pathology results and peripheral blood routine results were collected. The prognosis, progression, and survival status of all patients were determined after follow-up. Above data were used for statistical analysis and designing new indexes.

Results: It was found that high NE, MONO, RDW-CV/SD and PLT in peripheral blood indicated poor prognosis of DFS and OS. Conversely, CRCs with postoperative tumor progression or death had lower LY, EO, RBC, HGB, HCT, MCV, MCH, MCHC, PDW, and P-LCR. IRR, ARR and CRR related to infection, anemia and coagulation were designed respectively using the largest AUC indicators (P<0.05) selected by ROC curve. The formula: IRR= (NE*MONO)/(LY*EO); ARR= (HGB*MCHC)/RDW-CV; CRR=PLT/PDW. Results of Kaplan‑Meier survival analysis and multivariate COX proportional hazard analysis adjusted for age, gender, TNM stage, infiltration, adhesion showed IRR, ARR, CRR were all able to be used as the evaluation standard of survival of CRC. The result was also authenticated in the test set.

Conclusion: We designed three different prognostic indexes of colorectal cancer, IRR, ARR and CRR, which could be used as risk indicators of CRC prognosis, tumor progression and survival.

The preoperative platelet distribution width: A predictive factor of the prognosis in patients with non-small cell lung cancer

Background

The prognostic value of platelet distribution width (PDW) is different in various malignancies. The purpose of this study was to identify the relationship between preoperative PDW and survival in patients with non‐small cell lung cancer (NSCLC).

Methods

Optimal cutoff values of PDW were confirmed using a receiver operating characteristic (ROC) curve. The Kaplan‐Meier method and log‐rank test were used to estimate disease‐free survival (DFS) and overall survival (OS). Univariate and multivariate Cox regression models were used for prognostic analysis. The likelihood ratio test (LRT) and Akaike information criterion (AIC) were used to compare two models of the TNM staging system and the PDW‐TNM staging system (combination of PDW and the TNM staging system).

Results

Survival analysis indicated that the disease‐free survival (DFS) and overall survival (OS) of patients with PDW > 12.65 were both significantly longer than those of patients with PDW ≤ 12.65. Multivariate analysis showed that PDW was an independent prognostic factor for DFS and OS. After the two prediction models were established, further LRT analysis showed that the PDW‐TNM model had a better ability to assess patient prognosis.

Conclusions

PDW might act as an independent risk factor to predict progression and prognosis. Preoperative PDW combined with the TNM staging system showed a better ability to assess the prognosis of NSCLC patients.

Key points

Our study focused on the prognostic value of preoperative PDW in 750 patients with NSCLC. We also analyzed preoperative PDW in different stages and histological subtypes systematically.

A model built by preoperative PDW combined with the TNM staging system had a better prognostic ability. LRT was used to calculate values of the goodness of fit between the model and the TNM staging system.

Higher platelet distribution width is associated with unfavorable prognosis in ovarian cancer

BACKGROUND

Ovarian cancer (OC) is one of the most malignant gynecological cancers. Platelets play a profound role in cancer growth and metastasis. Platelet distribution width (PDW) is an indicator of platelet activation and is altered in malignancies. However, the prognostic value of PDW in OC remains unclear. This present study aimed to investigate the predictive significance of PDW in OC.

METHODS

221 OC patients, between January 2013 and December 2013, were included in this study. The correlations between PDW and clinicopathological features were analyzed. Kaplan-Meier method and Cox regression were used to evaluate the prognostic impact of PDW.

RESULTS

Of the 221 patients, increased PDW levels were observed in 163 (73.6%) patients. Kaplan-Meier analysis revealed that higher PDW levels were associated with poor progression-free survival and overall survival (both p< 0.001). Cox-regression analysis confirmed the independent predictive value of PDW on overall survival (HR = 2.820, 95% CI = 1.776-4.476, p< 0.001).

CONCLUSION

Higher PDW levels predict poor prognosis in patients with OC. Elevated PDW may be a novel target for therapy.

Evaluation of platelet distribution width as a diagnostic and prognostic biomarker in bladder neoplasm

Aim: To evaluate the role of preoperative platelet distribution width (PDW) as a potential biomarker for distinguishing malignancy and tumor advantage of bladder neoplasm. Methods: The study included 210 subjects with bladder cancer, 76 subjects with urothelial papilloma and 132 healthy control subjects. Preoperative PDW along with other blood indices was evaluated. Results: PDW was higher in urothelial papilloma patients than that in bladder cancer patients (p < 0.001). Bladder cancer patients with advanced-stage disease exhibited lower PDW levels compared with patients with early stage disease. Conclusion: Reduced preoperative PDW level is an indicator of malignancy and advanced bladder cancer stages, suggesting it as a potential biomarker in bladder cancer diagnosis and prognosis.