Platelet to white blood cell ratio was an independent prognostic predictor in acute myeloid leukemia

Development and internal validation of a nomogram based on peripheral blood inflammatory markers for predicting prognosis in nasopharyngeal carcinoma

BACKGROUND

Inflammatory markers, including the product of neutrophil count, platelet count, and monocyte count divided by lymphocyte count (PIV) and the platelet-to-white blood cell ratio (PWR), have not been previously reported as prognostic factors in nasopharyngeal carcinoma (NPC) patients. In order to predict overall survival (OS) in NPC patients, our goal was to create and internally evaluate a nomogram based on inflammatory markers (PIV, PWR).

METHODS

A retrospective study was done on patients who received an NPC diagnosis between January 2015 and December 2018. After identifying independent prognostic indicators linked to OS using Cox proportional hazards regression analysis, we created a nomogram with the factors we had chosen.

RESULTS

A total of 630 NPC patients in all were split into training (n = 441) and validation sets (n = 189) after being enrolled in a population-based study in 2015-2018 and monitored for a median of 5.9 years. In the training set, the age, PIV, and PWR, selected as independent predictors for OS via multivariate Cox's regression model, were chosen to develop a nomogram. Both training and validation cohorts had C-indices of 0.850 (95% confidence interval [CI]: 0.768-0.849) and 0.851 (95% CI: 0.765-0.877). Furthermore, compared with traditional TNM staging, our nomogram demonstrated greater accuracy in predicting patient outcomes. The risk stratification model derived from our prediction model may facilitate personalized treatment strategies for NPC patients.

CONCLUSION

Our findings confirmed the prognostic significance of the PWR and PIV in NPC. High PIV levels (>363.47) and low PWR (≤36.42) values are associated with worse OS in NPC patients.

Correlation of blood cell counts with mutant subtypes and impact prognosis in acute myeloid leukemia patients with FLT3 mutations

OBJECTIVES

Acute myeloid leukemia (AML) often presents with abnormal blood cell counts and gene mutations at diagnosis. But, the correlation between blood cell counts and gene mutations and the clinical effects on AML is unclear.

METHODS

279 AML patients with FMS-like tyrosine kinase 3(FLT3) mutations were selected. Patients with FLT3 mutations were counted by PCR amplification products direct sequencing and second-generation sequencing (NGS), and blood cell counts at the time of initial diagnosis. The relapse-free survival (RFS) and overall survival (OS) and the influence of the clinical characteristics of patients on the prognosis in different groups were analyzed.

RESULTS

The median of platelet (PLT) count was higher in the TET2 non-mutation group than mutation group and higher in the IDH1/2 mutation group than non-mutation group. The median of white blood cell (WBC) count was reduced in the poor prognosis group. The differences in levels of WBC and PLT count varied among the four groups binding sequence (JM-B), switching sequence (JM-S), zipper sequence (JM-Z), and high chain region (JM-H). The differences in PLT count varied between the insertion length ≥39 bp and <39 bp, and between ≥ 50 bp and <50 bp; The OS and RFS in 10 < WBC (×10⁹/L) < 100 group and in the 30 ≤ PLT (×109/L)<80 group were better.

CONCLUSIONS

In AML patients with FLT3 mutations, the location of FLT3 mutations and the type of co-mutated genes may be correlated with blood cell counts, and different blood cell counts may have an impact on the prognosis.

The Association between the Platelet to White Blood Cell Ratio and Chronic Kidney Disease in an Aging Population: A Four-Year Follow-Up Study

INTRODUCTION

The platelet to white blood cell ratio (PWR) has been reported to be a prognostic factor for some diseases, such as subarachnoid hemorrhage. However, the association between the PWR and chronic kidney disease (CKD) remains unknown. To investigate the cross-sectional and longitudinal association between the PWR and CKD, this study was performed.

METHODS

This study used datasets from a national prospective cohort in China (China Health and Retirement Longitudinal Study). A retrospective cohort from 2011 to 2015 was constructed. The PWR was stratified as a categorical variable according to tertiles (T1-T3 groups). CKD was defined as an estimated glomerular filtration rate < 60 mL min-1/1.73/m2. Univariate and multivariate logistic regressions and restricted cubic spline regression were adopted to assess the linear and non-linear association between the PWR and CKD. Propensity score matching was used to balance the discrepancies between covariates. Subgroup and interactive analyses were performed to explore potential interactive effects of covariates. Missing values were interpolated using random forest. The PWR was also stratified according to the median and quartiles as sensitivity analyses.

RESULTS

A total of 8600 participants were included in this study. In the full model, the odds ratios (ORs) of prevalent CKD were 0.78 (95% CI = 0.62-0.97, p < 0.05) for the T2 group and 0.59 (95% CI = 0.46-0.76, p < 0.001) for the T3 group. There were significant interactive effects of marital status and smoking in the PWR-CKD association (both p for interaction < 0.05). An L-shaped, non-linear association was detected between the PWR and prevalent CKD in the overall population, participants ≥ 60 years, and females subgroups (all p for non-linear < 0.05). All sensitivity analyses supported the negative association between the PWR and prevalent CKD. In the 2011-2015 follow-up cohort, the ORs of incident CKD were 0.73 (95% CI = 0.49-1.08, p > 0.05) and 0.31 (95% CI = 0.18-0.51, p < 0.001) for the T2 and T3 groups, respectively, in the full model.

CONCLUSIONS

A high PWR is associated with a reduced risk of prevalent and incident CKD. The PWR may serve as a predictor for CKD, facilitating the early identification and intervention of kidney function decline.

SUMO specific peptidase 1 decreases after induction treatment, and its reduction predicts lower disease risk, better treatment response, longer survival of acute myeloid leukemia

Small ubiquitin-related modifier-specific peptidase 1 (SENP1) takes part in the pathogenesis and progression of hematological malignancies, while its clinical role in acute myeloid leukemia (AML) is unclear. This study aimed to explore the potential of SENP1 to serve as a biomarker reflecting disease risk, treatment response, and survival of AML. A total of 110 AML patients, 30 disease controls (DCs), and 30 healthy controls (HCs) were included. SENP1 in bone marrow samples was detected by RT-qPCR. SENP1 was the top in AML patients (median (interquartile range (IQR)): 2.429 (1.854-3.772)), the second top in DCs (median (IQR): 1.587 (1.023-2.217)), and the lowest in HCs (median (IQR): 0.992 (0.806-1.702)) (p < 0.001). In AML patients, SENP1 was positively associated with white blood cells (rs = 0.210, p = 0.028) and bone marrow blasts (rs = 0.212, p = 0.026) but negatively linked to Inv(16) or t(16;16) presence (p = 0.040). Furthermore, SENP1 was decreased post-treatment vs. at baseline (before induction treatment) in total AML patients (p < 0.001), and in patients with CR (p < 0.001), but not in patients with non-CR (p = 0.055). Additionally, SENP1 at baseline slightly (p = 0.050) but SENP1 post-treatment dramatically (p < 0.001) decreased in patients with CR compared to those with non-CR. Notably, low SENP1 at baseline was related to prolonged EFS (p = 0.007) and OS (p = 0.039); meanwhile, declined SENP1 post-induction treatment showed a more predominant linkage with satisfied EFS (p < 0.001) and OS (p < 0.001). SENP1 is decreased after induction therapy, whose reduction is related to low disease risk, favorable treatment response, and prolonged survival of AML.

Predicting cerebral white matter lesions based on the platelet-to-white blood cell ratio in hypertensive patients

Hypertension is a common chronic disease affecting many people. White matter lesions (WMLs) are one of the imaging features of cerebrovascular disease. Predicting the possibility of developing syncretic WMLs in patients with hypertension may contribute to the early identification of serious clinical conditions. This study aims to build a model to identify patients who suffered from moderate-to-severe WMLs by using recognized WMLs risk factors including age and history of diabetes and a new factor named platelet-to-white blood cell ratio (PWR). A total of 237 patients were included in this study. The Affiliated ZhongDa Hospital of Southeast University Research Ethics Committee approved this study (Ethics No. 2019ZDSYLL189-P01). We developed a nomogram to predict the risk of syncretic WMLs in patients with hypertension using the above factors. Higher total scores on the nomogram indicated a higher risk of syncretic WMLs. This means older age, smaller PWR, and patients suffering from diabetes contributed to a greater chance for the patient to suffer from syncretic WMLs. We used a decision analysis curve(DCA) to determine the net benefit of the prediction model. The DCA we constructed showed that using our model to decide whether patients suffered from syncretic WMLs or not was better than assuming they all suffered from syncretic WMLs or all WMLs-free. As a result, the area under the curve of our model was 0.787. By integrating PWR, history of diabetes, and age, we could estimate integrated WMLs in hypertensive patients. This study provides a potential tool to identify cerebrovascular disease in patients with hypertension.

Platelet-Acute Leukemia Interactions

Acute leukemia (AL) is a hematological malignancy with high morbidity and mortality that is caused by abnormal hematopoietic stem cells. AL can change the parameters, quality, and function of platelets through numerous mechanisms, resulting in bleeding and even death in AL patients. Hence, AL patients are often clinically treated using normal platelet transfusion. However, studies have found that platelets can also affect AL cells. This review discusses the changes occurring in platelet count, mean platelet volume, platelet distribution width, reticulated platelets, platelet membrane glycoprotein, platelet aggregation, and activation in AL patients, the causes of these changes, and the possible significance of these changes for patient prognosis. The effects of platelets on the proliferation and drug resistance of AL cells are also discussed.