The decreased mean platelet volume is associated with poor prognosis in patients with oropharyngeal cancer treated with radiotherapy

Mean platelet volume as a potential biomarker for survival outcomes in ovarian clear cell carcinoma

OBJECTIVE

This study aimed to explore the prognostic value of mean platelet volume (MPV) in patients with ovarian clear cell carcinoma (OCCC) and evaluate the predictive performance of a random forest model incorporating MPV and other key clinicopathological factors.

METHODS

A total of 204 patients with OCCC treated between January 2004 and December 2019 were retrospectively analyzed. Clinicopathological characteristics and preoperative laboratory data were collected, and survival outcomes were evaluated using the Kaplan-Meier method and Cox proportional hazards models. An optimal MPV cutoff was determined by receiver operating characteristic (ROC) curve analysis. A random forest model was then constructed using the identified independent prognostic factors, and its predictive performance was evaluated.

RESULTS

The ROC analysis identified 9.3 fL as the MPV cutoff value for predicting 2-year survival. The MPV-low group had lower 5-year overall survival and progression-free survival rates than the MPV-high group (p = 0.003 and p = 0.034, respectively). High MPV emerged as an independent prognostic factor (p = 0.006). The random forest model, incorporating the FIGO stage, residual tumors, peritoneal cytology, and MPV, demonstrated robust predictive performance (area under the curve: 0.905).

CONCLUSION

MPV is a promising prognostic indicator in OCCC. Lower MPV correlated with worse survival rates, advocating its potential utility in refining patient management strategies. The commendable predictive performance of the random forest model, integrating MPV and other significant prognostic factors, suggests a pathway toward enhanced survival prediction, thereby warranting further research.

Mean platelet volume and the association with all-cause mortality and cardiovascular mortality among incident peritoneal dialysis patients

BACKGROUND

While mean platelet volume (MPV) is linked to severity and all-cause mortality in patients with sepsis, its association with all-cause mortality and cardiovascular mortality in patients treated with peritoneal dialysis (PD) remains unknown.

OBJECTIVES

The purpose of this study was to estimate the relationship between MPV and all-cause mortality and cardiovascular mortality among patients treated with PD.

METHOD

We retrospectively collected 1322 patients treated with PD from November 1, 2005 to August 31, 2019. All-cause mortality and cardiovascular mortality was identified as the primary outcome. MPV was classified into three categories by means of X-tile software. The correlation between MPV and all-cause mortality was assessed by Cox model. Survival curves were performed by Kaplan-Meier method.

RESULTS

The median follow-up period was 50 months (30-80 months), and a total of 360 deaths were recorded. With respect to all-cause mortality, patients in MVP ≥ 10.2 fL had considerably higher risk of all-cause mortality among three models (HR 0.68, 95%CI 0.56-0.84; HR 0.70, 95%CI 0.56-0.87; HR 0.73, 95%CI 0.59-0.91; respectively). Moreover, patients treated with PD, whose MVP ≥ 10.2 fL, also suffered from significantly higher risk of cardiovascular mortality in model 1, 2, and 3 (HR 0.63, 95%CI 0.46-0.85; HR 0.66, 95%CI 0.48-0.91; HR 0.69, 95%CI 0.50-0.95; respectively).

CONCLUSIONS

This study indicates that MPV is independently correlated with both all-cause mortality and cardiovascular mortality in PD.

A prognostic nomogram that includes MPV in esophageal squamous cell carcinoma

BACKGROUND

Mean platelet volume (MPV), as a marker of platelet activity, has been shown to be an efficient prognostic biomarker in several types of cancer. Using MPV, this study aimed to create and validate a prognostic nomogram to the overall survival in esophageal squamous cell carcinoma (ESCC) patients.

METHODS

The nomogram was constructed and tested using data from a retrospective study of 1893 patients who were randomly assigned to the training and testing cohorts with a 7:3 randomization. In order to screen out the optimal predictors for overall survival (OS), we conducted the LASSO-cox regression, univariate, and multivariate cox regression analyses. Subsequently, the predictive accuracy of the nomogram was validated in both the training and the testing cohorts. Finally, decision curve analysis (DCA) was used to confirm clinical validity.

RESULTS

Age, MPV, nerve invasion, T stage, and N stage were found as independent prognostic variables for OS and were further developed into a nomogram. The nomogram's prediction accuracy for 1-, 3-, and 5-year OS was 0.736, 0.749, 0.774, and 0.724, 0.719, 0.704 in the training and testing cohorts, respectively. Furthermore, DCA results indicated that nomograms outperformed the AJCC 8th and conventional T, N staging systems in both the training and testing cohorts.

CONCLUSIONS

The nomogram, in conjunction with MPV and standard clinicopathological markers, could improve the accuracy of prediction of OS in ESCC patients.

Mean platelet volume may predict all-cause and cardiovascular mortality among incident peritoneal dialysis patients

BACKGROUND

The association between mean platelet volume (MPV) and mortality in patients with cardiovascular disease has been demonstrated. However, the association between MPV and mortality in peritoneal dialysis (PD) patients remains unclear.

METHODS

Patients catheterized at the First Affiliated Hospital, Nanchang University, between November 1, 2005, and August 31, 2019, were enrolled. The primary endpoints were all-cause and cardiovascular mortality. Patients were divided into two groups according to the cutoff value, which was determined using maximally selected rank statistics. The mortality hazard ratio was evaluated using Cox regression models.

RESULTS

Among the 1322 PD patients enrolled, the mean age was 49.3 ± 14.5 years, 57.6% were men, and 18.8% had diabetes. During a median follow-up of 50 months (IQR: 30-80), 360 patients died; among these, 167 deaths were attributed to cardiovascular diseases. Survival analysis revealed that all-cause and cardiovascular mortality rates were lower in the higher-MPV group than in the lower-MPV group (p < .001 and p < .001, respectively). After full adjustment, a higher MPV was significantly associated with a hazard ratio of 0.77 for all-cause mortality (95% CI: 0.60-0.98, p = .036) and 0.75 for cardiovascular mortality (95% CI: 0.51-0.97, p = .041). Subgroup analysis showed that a significant interaction existed between age and MPV (p < .001). Decreased MPV was associated with higher mortality risk only in patients < 60 years old.

CONCLUSIONS

Our results showed that lower MPV can be associated with a higher risk of all-cause and cardiovascular mortality in patients with PD.

Preoperative mean platelet volume is a prognostic biomarker for survival in patients with gastric cancer: A cohort study

This study aimed to evaluate the prognostic potential of mean platelet volume (MPV) in gastric cancer (GC) patients. Patients with stage I-III GC who underwent gastrectomy were enrolled in this study. Cox regression analysis was performed to evaluate the determinants of overall survival (OS) and disease-free survival (DFS). The discriminative capacity of the model was determined using the Harrell concordance index (C-index). The net benefit of the model was validated using decision curve analysis (DCA). Data from 401 patients were analyzed. Multivariate Cox regression analysis revealed that age, stage, serum albumin level (ALB), perineural invasion (PNI) and MPV were determinants of both OS and DFS. The MPV model consisted of 5 covariates (age, stage, ALB, PNI, and MPV level), and the baseline model constituted the same covariates as the MPV model, except for the MPV level. C-indices for OS and DFS were higher in the MPV model than in the baseline model. When the models were validated using DCA, the MPV model showed a greater net benefit than the baseline model for nearly all the threshold probabilities. Age, stage, ALB, PNI, and MPV are prognostic factors for OS and DFS. The discriminative capacities for OS and DFS in the MPV model were higher than those in the baseline model, thus implying the clinical significance of the MPV level as a determinant of survival in GC.

Association of post-treatment longitudinal symptom severity clusters with subsequent survival in oropharyngeal cancer

BACKGROUND

Patients with cancer often experience multiple symptoms concurrently. We identified patient clusters based on longitudinal symptom severity trajectories in oropharyngeal cancer (OPC) and evaluated the potential clinical utility of this approach.

METHODS

A retrospective OPC patient cluster analysis using 6 months of symptom severity data from radiotherapy initiation. The clinico-demographic characteristics and overall survival of patients were compared between clusters.

RESULTS

We identified four clusters of patients differing in longitudinal symptom severity. Cluster A (n = 168) included patients with the mildest longitudinal symptoms, cluster B (n = 59) and cluster C (n = 63) were intermediate, and cluster D (n = 30) included patients with the worst symptoms. The clusters differed in their HPV status, ECOG performance status, smoking history, drinking history, treatment modality, and 5-year survival. These clusters separated symptom severity trajectories more distinctly than individual clinico-demographic characteristics.

CONCLUSIONS

Early symptom severity trajectory clustering revealed distinct patient clusters that were prognostic of overall survival.

A predictive model for advanced oropharyngeal cancer patients treated with chemoradiation

Background

To analyze clinical characteristics in the prediction of death within 1 year in advanced oropharyngeal cancer patients treated with chemoradiation.

Methods

One hundred forty-seven advanced oropharyngeal cancer patients who underwent curative-intent chemoradiation treatment were retrospectively enrolled. The pre-treatment clinical parameters including inflammatory markers were reviewed.

Results

The 1-year death rate for all patients was 29% [95% confidence interval (CI): 23–37%]. In multivariate logistic regression analysis, hemoglobulin (Hb) < 13.5 g/dl was an independent indicator of death within 1-year [Odds ratio (OR) 5.85, 95% CI 2.17–15.75, p < 0.001]. Systemic immune inflammation (SII) ≥ 1820 was also a significant factor for prediction of death within 1 year (OR 4.78, 95% CI 1.44–15.85, p = 0.011). We further used gander, age, Hb and SII to develop a nomogram to predict death within 1 year. The c-index of the model was 0.75 (95%CI 0.66–0.83). For patients with low nomogram score (< 14) versus high nomogram score (≥ 14), the 1-year and 2-year OS rates were 91 and 71% versus 53 and 29%, respectively. (p < 0.001). A difference in the disease persistence or recurrence rate between patients with high and low nomogram score was significant (73 and 28%, respectively; p < 0.001).

Conclusions

The pre-treatment Hb < 13.5 g/dl and SII ≥ 1820 are associated with higher risks of death within 1-year in patients with advanced oropharyngeal cancers. Nomogram can aid in patient counseling and treatment modality adjustment. The development of a more effective treatment protocol for patients with high nomogram score will be essential.

Prognostic significance of mean platelet volume in patients with lung cancer: a meta-analysis

OBJECTIVE

The mean platelet volume (MPV) is a measure of platelet size, and it is considered a surrogate marker of platelet activation. Because the correlation between platelet count/size and lung cancer prognosis remains unclear, this meta-analysis comprehensively evaluated the prognostic significance of MPV among patients with lung cancer.

METHODS

A systematic search of PubMed, Embase, Google Scholar, and additional sources of relevant studies were conducted with no language restrictions from inception to 7 May 2021. Overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS), as well as their hazard ratios (HR) and 95% confidence intervals (CIs), were pooled to evaluate the relationship between MPV and survival. The study protocol was registered on PROSPERO.

RESULTS

Eleven studies involving 2421 patients with lung cancer were included in our analysis. Nine studies including only patients with non-small cell lung cancer were included in the meta-analysis. Our analysis revealed no significant associations of MPV with OS (HR = 1.09, 95% CI = 0.84-1.41) and DFS/PFS (HR = 1.13, 95% CI = 0.58-2.20).

CONCLUSION

Pretreatment MPV levels did not display prognostic significance in patients with NSCLC. Large-scale prospective studies and a validation study considering ethnicity and lung cancer staging are warranted.

Development and Validation of a Practical Prognostic Coagulation Index for Patients with Esophageal Squamous Cell Cancer

BACKGROUND

This study aimed to establish an effective and practical prognostic index for esophageal squamous cell cancer (ESCC) based on the coagulation factors.

METHODS

The training cohort of 965 patients with ESCC was retrospectively collected at Sichuan Cancer Hospital from 2012 to 2014, along with clinical characteristics and follow-up information. Risk factors of coagulation status, including 11 blood parameters (platelet [PLT], mean platelet volume [MPV], platelet distribution width [PDW], plateletocrit [PCT], thrombin time [TT], prothrombin time [PT], international normalized ratio [INR], activated partial thromboplastin time [APTT], fibrinogen, D-dimer, and fibrinogen degradation product [FDP]), were studied by least absolute shrinkage and selection operator (LASSO) Cox regression and the Coagulation Index was established. The index was validated in a cohort of 848 patients with ESCC at the same institution, from 2015 to 2016.

RESULTS

Three variables of PLT, MPV, and fibrinogen were identified by selecting features with coefficients in the LASSO algorithm, and a Coagulation Index was established as follows: Coagulation Index = 0.0005 × PLT (10⁹/L) - 0.0384 × MPV (fL) + 0.1148 × fibrinogen (g/L). A higher Coagulation Index score was significantly associated with higher pT stage and pN stage (p < 0.05). With this prognostic index, patients could be stratified into three risk groups. The 3-year overall survival (OS) rates of the low-, middle- and high-risk groups in the training cohort were 63.5%, 55.5% and 43.1%, respectively (log-rank p < 0.001). Similarly, in the validation set, the respective 3-year OS for each risk group was significantly different across the three risk groups. Multivariate analysis indicated that the Coagulation Index remained a significant factor for predicting OS, independently of pathological TNM stage.

CONCLUSIONS

The Coagulation Index is an independent predictor of survival for patients with ESCC.