Increased VEGF levels in a case of papillary tumor of the pineal region with intracranial hemorrhage: a potential surrogate indicator of tumor angiogenesis and aggressiveness?

Marfia, Giovanni; Ampollini, Antonella; Navone, Stefania Elena; Vito, Clara Di; Bornati, A.; Miozzo, Monica; Rezende, Gisele de; Rampini, Paolo; Riboni, Laura; Mancuso, Maria Elisa; Campanella, Rolando

doi:10.23736/s0390-5616.16.03486-x

Cited by 4 publications

(3 citation statements)

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“…The α particles of platelets affect the formation of tumor blood vessels by releasing anti-vascular endothelial growth factor (VEGF) [ 3 ].Plenty of evidence has shown that aggressiveness of malignancy was closely associated with platelet-related parameters and coagulation indexes [ 4 , 5 ]. Fib is an acute-phase protein produced mainly by the liver, and the Fib level increases during malignancy and inflammation.DD is a cleavage product of fibrin, and its levels rise in cancer cases, disseminated intravascular coagulation, and pulmonary embolism [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

The clinical association between coagulation indexes, platelet-related parameters, and bone metastasis of newly diagnosed prostate cancer

Yu,

Yuan,

Chen

2023

Eur J Med Res

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Background At present, much evidence shows that many cancers have a high risk of thrombosis. Several studies have shown the prognostic value of platelet-related parameters and coagulation indexes in prostate cancer (PCa). However, the association between platelet-related parameters, coagulation indexes and bone metastasis of Pca is unclear. Methods A total of 234 pathologically diagnosed patients with Pca were consecutively collected and stratified into the bone metastasis group and non-bone metastasis group according to the results of the bone scan. ROC curve analysis was used to explore the auxiliary predictive value of single and combined parameters for bone metastasis in Pca patients. Univariate and multivariate Logistic regression analyses were used to determine the relationship between platelet-related parameters, coagulation indexes, and bone metastasis of Pca. Results Platelet count (PLT), fibrinogen (Fib), prostate-specific antigen (PSA), and D-dimer (DD) levels of the bone metastasis group were significantly higher than the non-bone metastasis group (P = 0.010, P < 0.001, P < 0.001, and P < 0.001, respectively). This study confirmed that PLT, PSA, DD and Fib have auxiliary predictive value for prostate cancer bone metastasis. After the combination of PLT, PSA, DD and Fib, the area under the curve, sensitivity and specificity increased significantly. The univariate logistic analysis demonstrated that PLT (OR: 1.008, P = 0.011), DD (OR: 2.690, P < 0.001), PSA (OR: 1.073, P < 0.001), Gleason score (OR: 7.060, P < 0.001), and Fib (OR: 2.082, P < 0.001) were significantly positively correlated with bone metastasis of Pca. Multivariate analysis showed that PSA (OR: 1.075, P < 0.001), DD (OR: 2.152, P < 0.001), Gleason score (OR: 2.904, P < 0.001), and Fib (OR: 1.706, P < 0.001) were independent risk factors for bone metastasis of Pca after adjusting for Age, BMI and other confounding factors. Conclusions Higher platelet, D-dimer, prostate-specific antigen, Gleason score, and fibrinogen levels may predict a worse prognosis in patients with Pca. PLT, DD, and Fib, as readily available and relatively inexpensive indicators, help predict bone metastasis of Pca. It is suggested that PLT, DD and Fib may be helpful in the risk stratification of Pca.

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Section: Introductionmentioning

confidence: 99%

The clinical association between coagulation indexes, platelet-related parameters, and bone metastasis of newly diagnosed prostate cancer

Yu,

Yuan,

Chen

2023

Eur J Med Res

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“…On the one hand, malignancy is always accompanied by a hypercoagulable state, and the presence of tissue factor and thrombin leads to coagulation, such that approximately 15% of patients will face episodes of thrombosis [12][13][14]. On the other hand, thrombin impacts the angiogenesis of the tumor by stimulating the release of anti-vascular endothelial growth factor by platelet α granules and can also promote the proliferation and migration of endothelial cells to tissue damage [15,16]. Lin et al [17] reported that plasma D-dimer and fibrinogen were robust predictors of poor survival in digestive cancer patients.…”

Section: Introductionmentioning

confidence: 99%

Establishment and Validation of Coagulation Factor-Based Nomogram for Predicting the Recurrence-Free Survival of Prostate Cancer

Jin

Bian

et al. 2022

Urol Int

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Introduction: We aimed to establish and validate a coagulation feature-based nomogram to predict recurrence-free survival in prostate cancer patients. Methods: The study included 168 prostate cancer patients who had received radical prostatectomy between 2012 and 2018. Kaplan-Meier plot and log-rank analysis were used to screen recurrence-free survival-related features. The nomogram was established by combining the significant coagulation features with clinicopathological characteristics by using Cox regression analysis. The accuracy and clinical significance of the nomogram model were assessed by the receiver operating characteristic curve, Kaplan-Meier plot, and calibration plot. We explored the correlation between coagulation pathway activity and patient prognosis in public datasets by using gene set variation analysis (GSVA). Results: The results suggested that patients classified by the nomogram into the high-risk subgroup showed unfavorable prognoses compared with those in the low-risk subgroup in both the training (log-rank p < 0.0001) and validation (log-rank p = 0.0004) cohorts. The nomogram model exhibited high discriminative accuracy in the training cohort (1-year area under the curve [AUC] of 0.74 and 3-year AUC of 0.69), which was confirmed in the internal validation cohort (C-index = 0.651). The calibration plots confirmed good concordance for the prediction of recurrence-free survival at 1 and 3 years. Subgroup analyses confirmed the utility of this model in different clinicopathological subgroups. Finally, GSVA suggested that patients with higher coagulation pathway scores mostly had unfavorable prognoses compared to those with lower scores, a result consistent with the findings above. Conclusions: We developed a practical nomogram model for predicting recurrence-free survival in prostate cancer patients. This model may offer clinicians prognostic assessments and facilitate personalized treatment.

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“…On the one hand, malignancy always along with a hypercoagulable state, the presence of tissue factor and thrombin leads to the coagulation of cancer patients and about 15% of the patients will face the episode of thrombotic [12][13][14]. On the other hand, the thrombin will impact the angiogenesis of the tumor through releasing the anti-vascular endothelial growth factor (VEGF) by the platelet α granules, it can also promote the proliferation and migration of endothelial cells in the condition of tissue damage [15,16]. Lin et al [17] reported that plasma D-dimer and brinogen were robust predictors of poor survival in digestive cancer patients.…”

mentioning

confidence: 99%

Establishment And Validation Of Coagulation Factor-based Nomogram For Predicting The Recurrence-free Survival Of Prostate Cancer

Meng

Bian

Zhu

et al. 2021

Preprint

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Background: We aimed to establish and validate a coagulation-feature-based nomogram to predict recurrence-free survival for prostate cancer patients.Methods: The study contained 168 prostate cancer patients who had received radical prostatectomy between 2012 and 2018. The Kaplan-Meier plot and log-rank analysis were used to screen recurrence-free survival-related features. The nomogram was established by combining the significant coagulation features with clinicopathological characteristics by using Cox regression analysis. The accuracy and clinical significance of the nomogram model were assessed by receiver operating characteristic (ROC) curve, Kaplan-Meier plot, and calibration plot. Besides, we explored the correlation between coagulation pathway activity and patients’ prognosis based on public datasets by using gene set variation analysis (GSVA) analysis.Results: The results suggested that patients in the high-risk subgroup showed unfavorable prognoses than those in the low-risk subgroup classified by the nomogram model in both the training (log-rank P < 0.0001) and validation (log-rank P = 0.0004) cohorts. The nomogram model exhibited high discriminative accuracy in the training cohort [1-year area under the curve (AUC) of 0.74, and 3-year AUC of 0.69], which was confirmed in the internal validation cohort (C-index = 0.651). Besides, the calibration plots confirmed good concordance for the prediction of recurrence-free survival at 1 and 3 years. Besides, the subgroup analyses confirmed the usage of this model in different clinicopathological subgroups. Finally, GSVA analyses suggested that patients with higher coagulation pathway scores mostly had unfavorable prognoses than those with lower scores, a result consistent with the findings obtained above.Conclusions: In conclusion, we develop a practical nomogram model for the recurrence-free survival predicting of prostate cancer patients. This model may offer clinicians prognostic assessments and facilitate personalized treatment.

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Increased VEGF levels in a case of papillary tumor of the pineal region with intracranial hemorrhage: a potential surrogate indicator of tumor angiogenesis and aggressiveness?

Cited by 4 publications

References 0 publications

The clinical association between coagulation indexes, platelet-related parameters, and bone metastasis of newly diagnosed prostate cancer

The clinical association between coagulation indexes, platelet-related parameters, and bone metastasis of newly diagnosed prostate cancer

Establishment and Validation of Coagulation Factor-Based Nomogram for Predicting the Recurrence-Free Survival of Prostate Cancer

Establishment And Validation Of Coagulation Factor-based Nomogram For Predicting The Recurrence-free Survival Of Prostate Cancer

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