Elevated platelet distribution width predicts poor prognosis in hepatocellular carcinoma

Construction of a combined prognostic model for pancreatic ductal adenocarcinoma based on deep learning and digital pathology images

BACKGROUND

Deep learning has made significant advancements in the field of digital pathology, and the integration of multiple models has further improved accuracy. In this study, we aimed to construct a combined prognostic model using deep learning-extracted features from digital pathology images of pancreatic ductal adenocarcinoma (PDAC) alongside clinical predictive indicators and to explore its prognostic value.

METHODS

A retrospective analysis was conducted on 142 postoperative pathologically confirmed PDAC cases. These cases were divided into training (n = 114) and testing sets (n = 28) at an 8:2 ratio. Tumor whole-slide imaging features were extracted and screened to construct a pathological risk model based on a pre-trained deep learning model. Clinical and pathological data from the training set were used to select independent predictive factors for PDAC and establish a clinical risk model using LASSO, univariate, and multivariate Cox regression analyses. Based on the pathological and clinical risk models, a combined model was developed. The Harrell concordance index (C-index) was computed to assess the predictive performance of each model for PDAC survival prognosis.

RESULTS

For the training and testing sets, the C-index values for the clinical risk model were 0.76 and 0.75, respectively; for the pathological risk model, they were 0.82 and 0.73, respectively; and for the combined model, they were 0.86 and 0.77, respectively. The combined model exhibited appropriate calibration at 1-, 3-, and 5-year time points, as well as a superior area under the curve of the receiver operating characteristic curve and clinical net benefit compared to the single models.

CONCLUSIONS

Integrating the pathological and clinical risk models may provide a higher predictive value for survival prognosis.

Prognostic value of combined preoperative inflammatory marker neutrophil-lymphocyte ratio and platelet distribution width in patients with gallbladder carcinoma

BACKGROUND

The neutrophil-lymphocyte ratio (NLR) and platelet distribution width (PDW) are associated with poor prognosis in various cancers. We aimed to analyze the prognostic value of the combination of preoperative NLR and PDW in patients with gallbladder carcinoma (GBC).

METHODS

A total of 287 GBC patients who underwent curative-intent surgery in our institution was included. The relationship between NLR and PDW and clinicopathological features were analyzed. The receiver operating characteristic (ROC) curves were used to determine the optimal cutoff value for NLR and PDW. Overall survival (OS) was estimated using the Kaplan-Meier method. Meanwhile, the univariate and multivariate Cox regression models were used to assess the risk factors for OS.

RESULTS

The optimal cutoff value of NLR and PDW was 3.00 and 14.76, respectively. In addition, survival analysis demonstrated that patients with NLR > 3.00 and PDW > 14.76 had a worse prognosis than patients with NLR ≤ 3.00 and PDW ≤ 14.76, respectively. The multivariate analysis showed that NLR and PDW were independent prognostic factors in the patients with GBC. When we combined NLR and PDW, the area under the ROC curve increased from 0.665 (NLR) and 0.632 (PDW) to 0.676. Moreover, the 1-, 3-, and 5-year OS of group A (patients with NLR ≤ 3.00 and PDW ≤ 14.76), group B (patients with either of NLR > 3.00 or PDW > 14.76) and group C (patients with NLR > 3.00 and PDW > 14.76) were 88.7%, 62.6%, 28.1%, 65.1%, 26.9%, 13.1%, and 34.8%, 8.3%, 0%, respectively.

CONCLUSION

The combination of NLR and PDW may serve as a significant prognostic biomarker for GBC patients superior to either NLR or PDW alone.

Prognostic value of platelet distribution width to lymphocyte ratio in patients with hepatocellular carcinoma following hepatectomy

BACKGROUND

Platelet distribution width (PDW), but not platelet count, was found to more comprehensively reflect platelet activity. The present study, thus, aimed to evaluate the prognostic value of PDW to lymphocyte ratio (PDWLR) in patients with hepatocellular carcinoma (HCC) following hepatectomy.

METHODS

Patients following hepatectomy were analyzed retrospectively. The Kaplan-Meier survival curves and Cox regression model were used to determine the prognostic value of PDWLR.

RESULTS

241 patients were analyzed eventually, and stratified into low and high PDWLR groups (≤ 9.66 vs. > 9.66). Results of comparing the baseline characteristics showed that high PDWLR was significantly associated with cirrhosis, and intraoperative blood loss (all P < 0.05). In multivariate COX regression analysis, PDWLR was demonstrated as an independent risk factor for OS (HR: 1.549, P = 0.041) and RFS (HR: 1.655, P = 0.005). Moreover, PDWLR demonstrated a superior capacity for predicting prognosis compared to other indicators.

CONCLUSION

Preoperative PDWLR has a potential value in predicting the prognosis of HCC patients following hepatectomy, which may help in clinical decision-making for individual treatment.

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.

High platelet distribution width is an independent risk factor of postoperative pneumonia in patients with type A acute aortic dissection

Background

Platelet distribution width (PDW), as a widely applied and reliable marker of platelet activation, was associated with adverse outcomes in cardiovascular diseases. However, there is little literature on the relationship between PDW and postoperative pneumonia in patients with type A acute aortic dissection (AAAD).

Methods

In this retrospective cohort study, we collected consecutive patients who underwent emergency surgery for AAAD at Xiangya Hospital of Central South University from January 1, 2014 and June 30, 2020. Patients were divided into three tertiles on the basis of the PDW. The independent effect of the PDW on postoperative pneumonia was evaluated using multivariate logistic regression analysis, and smooth curve fitting was performed to visualize the linear relationship between PDW and the risk of postoperative pneumonia in patients with AAAD.

Results

A total of 210 patients with AAAD were enrolled and the overall incidence of postoperative pneumonia was 25.24% (n = 53). Multivariate logistic regression revealed that PDW was positively associated with the risk of postoperative pneumonia (OR: 1.07, 95% CI: 1.02–1.13, P < 0.05) after adjusting the confounders. Compared with the lowest PDW tertile, the risk of postoperative pneumonia increased by 1.21-fold in the medium PDW tertile (OR: 2.21, 95% CI: 0.73–6.72) and by 3.16-fold in the highest PDW tertile (OR: 4.16, 95% CI: 1.40–12.33). A straight-line relationship was observed between PDW and postoperative pneumonia risk in smoothing spline fitting.

Conclusion

Our findings indicate that high PDW is an independent risk factor of postoperative pneumonia in patients with AAAD. Preoperative PDW may serve as an available indicator of pneumonia, which helps identify AAAD patients with a high risk of postoperative pneumonia.

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-to-platelet ratio combined with serum thyroglobulin may be objective and popularizable indicators in predicting papillary thyroid carcinoma

Objectives

The incidence of papillary thyroid carcinoma (PTC) has increased more rapidly than that of any other cancer type in China. Early indicators with high sensitivity and specificity during diagnosis are required. To date, there has been a paucity of studies investigating the relationship between preoperative platelet distribution width‐to‐platelet count ratio (PPR) and PTC. This study thus aimed to assess the diagnostic value of PPR combined with serum thyroglobulin (Tg) in patients with PTC.

Methods

A total of 1001 participants were included in our study. 876 patients who underwent surgery for nodular goiter were divided into the PTC group or benign thyroid nodule (BTN) group according to pathology reports, and 125 healthy controls (HCs) were included. Preoperative hemogram parameters and serum Tg levels were compared among three groups. Receiver operating characteristic (ROC) curve was used to evaluate the value of PPR combined with serum Tg for diagnosing PTC.

Results

Platelet distribution width (PDW) and PPR levels were higher in the PTC group than in the BTN and HC groups (both p < 0.05) but did not significantly differ between the BTN and HC groups. PDW and PPR levels significantly differed in the presence/absence of lymph node metastasis, the presence/absence of capsule invasion (p = 0.005), and TNM stages (p < 0.001). Multivariable analyses indicated that high serum Tg levels [adjusted odds ratio (OR), 1.007; 95% confidence interval (CI), 1.004–1.009; p < 0.001], high neutrophil‐to‐lymphocyte ratio (NLR,adjusted OR, 1.928; 95% CI, 1.619–2.295; p < 0.001), and high PPR (adjusted OR, 1.378; 95% CI, 1.268–1.497; p < 0.001) were independent risk factors for PTC. In ROC analysis, the areas under the curves (AUCs) of serum Tg, PDW, PPR, and NLR for predicting PTC were 0.603, 0.610, 0.706, and 0.685, respectively. PPR combined with serum Tg (PPR + Tg) had a higher diagnostic value (AUC, 0.738; sensitivity, 60%; specificity, 74.7%) compared with PDW + Tg (AUC, 0.656; sensitivity, 64.4%; specificity, 59.9%) and NLR + Tg (AUC, 0.714; sensitivity, 61.6%; specificity, 71.1%).

Conclusions

Preoperative PPR combined with serum Tg may be objective and popularizable indicators for effective predicting PTC.

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.

Prediction of late recurrence after radiofrequency ablation of HBV-related hepatocellular carcinoma with the age-male-albumin-bilirubin-platelets (aMAP) risk score: a multicenter study

BACKGROUND

Long-term survivals of patients with HBV-related hepatocellular carcinoma are limited by the high incidence of tumor recurrence after radiofrequency ablation (RFA), identification of the risk factors and understanding the patterns of recurrence can help to improve the comprehensive management of patients after RFA. Therefore, the purpose of the study is to explore the prognostic value of the age-male-albumin-bilirubin-platelets (aMAP) score in patients with early-stage HBV-related hepatocellular carcinoma (HCC) receiving RFA; investigate the risk factors and patterns of late recurrence (LR); and develop a nomogram to predict recurrence-free survival (RFS).

METHODS

A retrospective review of HBV-related HCC patients who underwent primary RFA from March 2012 to December 2020 was conducted. The prognostic value of the aMAP score was evaluated in a primary cohort (n=302) and then further validated in an independent validation cohort (n=143). The optimal threshold of aMAP scores was calculated by X-tile 3.6.1 software. A prognostic nomogram was constructed from multivariate analysis and validated in an external validation cohort.

RESULTS

Patients with aMAP scores ≤63.8, 63.8-67.8, and >67.8 were classified into low-, medium-, and high-recurrence risk groups, respectively. The C-index to predict LR was 0.76 (95% CI: 0.700-0.810). The high-risk group was associated with the worst RFS (HR: 5.298; 95% CI, 2.697-10.408; P<0.001) and overall survival (OS) (HR: 2.639; 95% CI, 1.097-6.344; P=0.03) compared with medium- and low-risk groups. The aMAP score, multiple tumors and preoperative HBV DNA level were independent risk factors for LR. The proposed nomogram had excellent performance in predicting LR of HBV-related HCC [C-index: 0.82 (95% CI: 0.772-0.870)].

CONCLUSIONS

This study demonstrated that the aMAP score can serve as an objective predictor of LR for HBV-related HCC patients after RFA. The nomogram based on preoperative HBV DNA level, aMAP score, and number of tumors can reliably help clinicians to stratify the recurrence risk of HCC patients after RFA.

[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.

A simple model predicting in-hospital death in patients with type A acute aortic dissection

BACKGROUND

Type A acute aortic dissection (TAAAD) is a destructive cardiovascular disease, with high morbidity and mortality rates. Identifying the high-risk TAAAD patients at an early stage is urgently necessary.

METHODS

A retrospective study of 160 patients was carried out. The admission data were retrospectively gathered. Logistic regression analysis and receiver operator characteristic curve (AUC) was utilized.

RESULTS

Compared with the survivor group, the nonsurvivor group was older, had higher D-dimer levels, red blood cell distribution width (RDW) levels and platelet distribution width (PDW) levels, and lower fibrinogen levels, platelet levels and plateletcrit levels. Multivariate analysis displayed that four independent factors, age (hazard ratio (HR): 7.877, 95% confidence interval (CI) 2.740-22.641, p < 0.001), D-dimer (HR: 3.791, 95% CI 1.520-9.452, p = 0.004), RDW (HR: 3.300, 95% CI 1.109-9.825, p = 0.032), PDW (HR: 3.755, 95% CI 1.436-9.815, p = 0.007) were incorporated into the model. The predict accuracy of the model (AUC 0.861, 95% CI 0.798-0.911, p < 0.001) was best.

CONCLUSIONS

Age, D-dimer, RDW and PDW are independent markers of in-hospital death in TAAAD patients and the newly established model has better performance in predicting high-risk patients. This model can be used as a quick screening tool to assess the prognosis of patients in individualizing.

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 PDW14.95 (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.

The Platelet to Lymphocyte and Neutrophil to Lymphocyte Ratios in Predicting Response to Platinum-based Chemotherapy for Epithelial Ovarian Cancer

Objective:

The patients with advanced-stage ovarian cancer have higher factors complicating surgery; thus, the best choice for them is surgery with chemotherapy with six cycles of adjuvant chemotherapy. Generally, chemotherapy can be evaluated in various ways, phsychal examination, radiology examination, and laboratory examination. This study aims is to examine if the measurement of the platelet/lymphocyte ratio (PLR) and neutrophil/lymphocyte ratio (NLR) can be used to predict a patient’s response to chemotherapy.

Methods:

Analytic observational study with a case-control design conducted in the Dr. Hasan Sadikin Hospital in Bandung from 2017 to 2018. This study used the medical record of ovarian cancer patients with post-surgery complete blood counts and histopathological reports. The sample size was determined based on the categorical test’s statistical calculation to obtain a total number of at minimal 90 samples. All the study subjects who had undergone complete chemotherapy were followed up for 6 months. Their response to chemotherapy was assessed with a clinical examination, ultrasonography, and a CA-125 blood test every 3 months.

Results:

In 2017–2018, 504 patients were diagnosed with ovarian cancer at the Dr. Hasan Sadikin Hospital in Bandung, Indonesia. After reassessment, 116 patients had stage I to III ovarian cancer and underwent cytoreduction followed by platinum chemotherapy. The age, cancer stage, and types of epithelial cells in the platinum-sensitive and platinum-resistant patients were characterized. There were significant differences between the two groups in age and cancer stage characteristics (p < 0.05). The increase in platelet/lymphocyte (p = 0.003) and neutrophil/lymphocyte ratios (p = 0.026) are associated with the increase in the response to platinum chemotherapy against epithelium-based cancers.

Conclusion:

A patient’s NLR and PLR are strongly associated with his response to chemotherapy.

Perinatal factors affecting platelet parameters in late preterm and term neonates

Platelets parameters including platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV) and platelet distribution width (PDW) are associated with various physiological and pathological functions in various disease. However, few studies have addressed whether perinatal factors may be associated with platelet parameters at birth in a large cohort of late preterm and term neonates. The aim of this study to investigate perinatal factors affecting platelet parameters in late preterm and term neonates. We retrospectively investigated platelet parameters including PLT, PCT, MPV, and PDW on the first day of life in 142 late preterm and 258 term neonates admitted to our NICU from 2006 through 2020. PLT, MPV, PCT, PDW on Day 0 did not significantly differ between the two groups. In term neonates, multivariate analysis revealed that PCT correlated with being small for gestational age (SGA) (β = -0.168, P = 0.006), pregnancy induced hypertension (PIH) (β = -0.135, P = 0.026) and male sex (β = -0.185, P = 0.002). PLT was associated with SGA (β = -0.186, P = 0.002), PIH (β = -0.137, P = 0.024) and male sex (β = -0.166, P = 0.006). In late preterm neonates, multivariate analysis revealed that PLT were associated with PIH, whereas no factors associated with PDW and MPV were found. In all patients studied, chorioamnionitis (CAM) was significantly associated with MPV (CAM = 10.3 fL vs. no CAM = 9.7 fL, P<0.001). Multivariate analysis showed that SGA, male sex and PIH were associated with PCT and PLT. This study demonstrates that different maternal and neonatal complications affect platelet parameters in late preterm and term neonates.

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.

Evaluation of platelet distribution width as novel biomarker in gall bladder cancer

INTRODUCTION:

Gall bladder cancer (GBC) tends to present in advanced stages, therefore, early diagnosis of GBC is necessary. There is no ideal single tumor marker available presently for the diagnosis and prognosis of GBC. Platelet distribution width (PDW) is an early marker for activated platelets and has been used in a variety of tumors to assess prognosis. This study was designed to evaluate the utility of PDW in identifying GBC patients and its association with tumor markers, staging and resectability of GBC.

MATERIALS AND METHODS:

This cross sectional study was done on 100 patients of GBC and 100 age- and sex- matched healthy controls. PDW was evaluated and compared between GBC and healthy controls. Receiver-operating characteristics was plotted to determine optimal cut-off for identifying GBC patients and to determine sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of PDW. Correlation between serum tumor markers (carbohydrate antigen 19-9, carcinoembryonic antigen, and carbohydrate antigen 125) and PDW were evaluated. Association of PDW with hyperbilirubinemia, staging and resectability of GBC was also studied.

RESULTS:

A significantly higher PDW with a median of 18.1 was observed in GBC as compared to healthy controls with median value of 13. PDW was found to have a very high sensitivity (90%), specificity (95%), PPV (94%) and NPV (90%) in identifying GBC at cut-off of 16 with area under the curve (AUC) of 0.97. An increase of PDW was observed with increasing stage and unresectable GBC. However, it was not statistically significant. Significant positive correlation was observed between PDW and all three serum tumor markers and good positive correlation with r = 0.61 was observed with CA 19-9.

CONCLUSION:

PDW was associated with GBC and may be considered as a cost- effective marker in adjunct to other investigations for the diagnosis of GBC.

Platelets in chronic liver disease, from bench to bedside

In the last decade, numerous studies revealed physiologic and pathophysiologic roles of platelets beyond haemostasis, a process to prevent and stop bleeding. These include the activation of the immune system and the promotion of inflammation, infection and cancer. Hence, the emerging view on the role of platelets has shifted - platelets are now seen as alert "sentinels" of the immune compartment, rather than passive bystanders. Herein, we review well-established and newly discovered features of platelets that define their natural role in maintaining blood haemostasis, but also their functional relationship with other cells of the immune system. We focus on recent studies underlining functional involvement of platelets in chronic liver diseases and cancer, as well as the effects of anti-platelet therapy in these contexts. Finally, we illustrate the potential of platelets as possible diagnostic and therapeutic tools in liver disease based on recently developed methodologies.