Keywords
blood coagulation, glioma, platelet count, prothrombin time, meningioma
Disregulation of coagulation is a common phenomenon in patients with high-grade glioma, a primary malignant brain tumor.
Identify if there is an alteration in the coagulation profile in patients with high-grade glioma compared to other patients with benign brain tumors.
Sociodemographic and clinical characteristics, Eastern Cooperative Oncology Group (ECOG) preformance status at admission, prothrombin time, activated partial thromboplastin time, international normalized ratio, platelet count, and blood panel results of 21 high-grade glioma patients (cases) and 42 meningioma patients (controls) from northern Peru were reviewed. Bivariate and multivariate analysis with logistic regression were performed to determine which factors are associated with glioma.
Both groups had high proportions of high blood pressure (29%) and diabetes mellitus (14%). According to multivariate analysis, altered values for prothrombin time, platelet count, and ECOG score were associated with glioma (p=0.01). Furthermore, alterations in the blood panel were observed in both cases and controls but failed to reach statistical significance. We also observe that some glioma patients have increased prothrombin time compared to reference values.
Patients with high-grade glioma seem to suffer more from altered coagulation states than other patients with benign brain tumors, suggesting careful vigilance, measurement, and treatment of abnormal coagulation.
blood coagulation, glioma, platelet count, prothrombin time, meningioma
This revised version takes into account the reviewer comments. This includes more detailed explanations and additional references.
See the authors' detailed response to the review by Darko Orešković
See the authors' detailed response to the review by Joab Chapman
Gliomas are a class of primary brain tumors that arise from glial cells and generally have a poor prognosis.1 The malignancy of these tumors is classified into four grades, with grade four being the most malignant. High-grade gliomas (grades 3 and 4) are characterized by high mitotic activity, angiogenesis, as well as a predisposition to central necrosis, peripheral edema, rapid disease evolution, and mean survival between 12 and 17 months.1–3 Of these high-grade gliomas, the most common in adults are glioblastoma (grade 4), anaplastic astrocytoma, and anaplastic oligodendroglioma (both grade 3).4 The most common complication of high-grade gliomas is venous thromboembolism (VTE), with an incidence of approximately 30%,5 with approximately 50% of patients with glioblastoma having background activation of the coagulation system.6 Furthermore, VTE tends to occur early in the disease course5 and it seems that gliomas have relatively strong tendencies among neoplasms to cause coagulation dysfunction, when compared to other brain neoplasms.7,8
VTE is a common complication found in many cancers that can be triggered directly by the tumor, such as overexpression of tissue factor (TF), or indirectly through host secretion of cytokines or physical alteration of blood vessels.9,10 It is well established that gliomas tend to overproduce active TF as a result of genetic mutations, activation of oncogenes or loss of suppressor genes such as p53 and PTEN.9,11–14 This increased TF production is important in creating the host's pro-coagulant state, as TF initiates thrombin formation, a key step in thrombus formation via the extrinsic clotting pathway, which then results in reduced prothrombin time (PT).6 Glioblastomas have also been shown to secrete thrombin,15 which induces edema and leukocyte recruitment,16 which results in a poor prognosis.17,18 Tumor growth can also damage normal tissue, generate hypoxia and inflammation, and promote angiogenesis.7,19 These secondary effects cause the release of procoagulant factors into the blood, such as VEGR, resulting in systemic activation of coagulation.20 It has also been suggested that disregulation of coagulation may stimulate tumor growth and metastasis.7,13,19
From this information, it is likely that understanding the clotting profiles of presurgical patients would be helpful in informing treatment with anticoagulants or determining prognosis based on coagulation profile. However, the judicious use of anticoagulants is important to not increase the risk of spontaneous intracerebral hemorrhage.
Due to the aggressive nature of high-grade glioma and the risk of VTE, we set out to evaluate how the coagulation profile of these patients differs from other patients with brain cancer using a clinical study with a control group.
Medical records of both sexes were included if they were over 18 years old, diagnosed with high-grade glioma or meningioma, and treated in the Virgen de la Puerta High Complexity Hospital Oncology Service (La Esperanza, Trujillo, Peru) between 2019 and 2023. Patients with an incomplete or absent anatomopathological study, and those with autoimmune or viral diseases, a history of coagulation disorders or diseases that affect blood circulation, brain metastases, or other primary tumors as well as patients receiving treatment with anticoagulant medications, were excluded from the study.
The medical records were reviewed to evaluate the presurgical hematological results of both controls and cases. These included hemogram (leukocytes, neutrophiles, band neutrophiles, lymphocytes, monocytes, eosinophiles, basophiles, red blood cell count, hemoglobin, and hematocrit) as well as coagulation profile (prothrombin time (PT), activated partial thromboplastin time (aPTT), international normalized ratio (INR), and platelet count (PC)). All blood parameters were recorded as normal or abnormal following established guidelines.21 Therefore, proportions of normal to abnormal were compared between the control and glioblastoma groups. Additional sociodemographic and clinical characteristics were also recorded: age, sex, address, Eastern Cooperative Oncology Group (ECOG) performance status upon admission, and whether the patient had diabetes and/or high blood pressure.
IBM SPSS V26.0 statistical software (https://www.ibm.com/es-es/products/spss-statistics) was used for data processing. An open-source alternative to this program is PSPP (https://www.gnu.org/software/pspp/). Qualitative variables were expressed in proportions and percentages of patients. Bivariate analysis was performed to determine the relationship of the variables. The crude odds ratio (ORc) and the adjusted odds ratio (ORa) were calculated with a 95% confidence interval (CI) for each variable in its association with the presence of high-grade glioma. The odds ratios calculated here indicate the increased risk of abnormal values associated with being a case vs a control. Those variables that showed a significant association (p < 0.05) were subjected to multivariate analysis with logistic regression. Variables showing a difference in proportion were then compared numerically using a Welch’s t-test.
This study was reviewed and approved by the Research Bioethics Committee of Universidad Privada Antenor Orrego (Resolution N°0563-2023-UPAO), approval date 3rd August 2023. This study complied with the 2016 Council for International Organizations of Medical Sciences (CIOMS) guidelines. Given that this study was a review of medical records routinely collected during treatment, ensured patient privacy, and did not influence treatment trajectory, the requirement for informed consent was waived by ethical approval committee. Information that personally identifies patients was eliminated from the data presented here and underlying data to protect anonymity.
The sample consisted of 21 patients with high-grade glioma (cases) and 42 patients with meningiomas (controls) that met acceptance criteria. Patients with meningiomas were chosen as the control group as these tumors are benign, allowing for a close comparison of patients that had similar conditions – with the only difference being malignancy. All patients came from the Peruvian regions of La Libertad, Ancash, and Cajamarca. The demographic characteristics of both groups are summarized in Table 1. Ages were similar, but the gender ratio was reversed between cases and controls. ECOG scores were also distributed differently between cases and controls. Furthermore, both groups had high proportions of diabetes (14%) and high blood pressure (29%).
Table 2 records the proportions of cases and controls with presurgical abnormal blood count and coagulation results. High proportions of abnormal results were found for aPTT, INR, lymphocytes, and neutrophiles.
Multivariate analysis showed that PT (aOR = 1.45; 95% CI = 1.13 – 2.28; p = 0.01), PC (aOR = 1.43; 95% CI = 1.06 – 2.25; p = 0.01) and ECOG 2 or 3 (aOR = 14.78; 95% CI = 3.71 – 58.86; p = 0.01) were associated with said high-grade glioma (Table 3). An odds ratio (OR) in this case presents the odds of a case developing the abnormality vs the controls. Other components of the blood profile did not show significant differences between groups.
Because PT, PC, and ECOG score were initially measured as numerical variables and later dichotomized into normal and abnormal or high and low, further statistical analysis can be completed on these variables preserving their measured values. Regarding PT, values between 10 and 15 seconds were considered normal. The three cases outside of this range had PT of 16.44, 15.19, and 18.00 s, all above the normal range. A Welch’s t-test did not find a significant difference between cases (M = 12.8, SD = 2.02) and controls (M = 12.5, SD = .92, t(61) = .693, p = 0.529). A total of four glioma patients had abnormal PC, 1 had elevated PC (453 × 109/L), while the other 3 had decreased PC (135, 118 and 135 × 109/L). A Welch’s t-test using the measured PC for all participants did not find a statistically significant difference between cases (M = 273, SD = 98.0) and controls (M = 264, SD = 61.1, t(61) = .345, p = .732). Numerical ECOG score did show a statistically significant difference between controls (M = 1.14, SD = .354) and cases (M = 1.81, SD = .601, t(61) = -4.69, p < .001), with glioma cases having significantly higher ECOG scores.
We observe that PT was lengthened in the cases compared to the controls. This result is not consistent with two published studies using 58 cases and 22 meningioma controls6 and 172 cases and 47 healthy controls.22 The PT test evaluates the extrinsic coagulation pathway, which is initiated at the site of injury in response to the release of TF, which is often overexpressed in tumor cells. Another parameter calculated from PT that evaluates the extrinsic coagulation pathway is INR. The difference in INR between cases and controls came close to (p = 0.08), but did not reach statistical significance. Numerical measurements of INR of cases (M = 1.07, SD = .194) and controls (M = 1.04, SD = 0.073) did not reach statistical significance either according to Welch’s t-test (t(61) = .706, p = .488). This result contrasts with another study comparing patients with healthy controls that found a statistically significant difference in these parameters.23 Although our results paint a different picture – one of longer coagualtion times, it would still be reasonable to affirm that glioma patients have a more altered extrinsic clotting pathway compared to other patients with benign brain tumors and even more so when considering healthy controls.
The aPTT test is mainly used to evaluate the intrinsic coagulation pathway. In this study, no statistical significance was found between aPTT and the presence of glioma, with proportions of altered aPTT equal between cases and controls (Tables 2 and 3). This result differs from the findings of a study in which aPTT was shown to be significantly reduced in glioma cases, suggesting a hypercoagulable state.6 Considering the numerical values for aPTT, there was a decreased aPTT among cases (M = 26.4, SD = 4.59) versus controls (M = 27.4, SD = 3.56), but this difference was still not statistically significant according to Welch’s t-test (t(61) = -.833 p = .411).
Potential reasons for these different observations in coagulation are confounding variables and comorbididities. The three patients with increased PT may have suffered from liver abnormalities, vitamin K deficiency, or overweight, which were not considered in the study. Removing these three patients from the dataset did result in decreased average PT among cases (M = 12.2, SD = 1.32) versus controls (M = 12.5, SD = .92), but this difference was still not statistically significant according to Welch’s t-test (t(58) = -.954 p = .349).
Blood count can be used to assess general condition, detect disease-related complications, and, in some cases, predict survival in patients with high-grade glioma. In this study, alterations were observed in PC, leukocytes, erythrocytes, hemoglobin, and hematocrit; however, no significant association with high-grade glioma was found in the multivariate analysis, except for PC (Table 3). Navone et al. observed a significant increase in leukocyte count in glioblastoma patients compared to meningioma patients (p < 0.001), while hemoglobin did not show significant differences between the two study groups.6 On the other hand, Kim et al. assessed the clinical importance of lymphopenia in patients with glioblastoma and reported that 42.0% (92 patients) showed decreased levels of lymphocytes, concluding that lymphopenia is a frequent event during progression and disease treatment.24 In turn, Serban et al., when studying the preoperative immunoinflammatory status of patients with glioblastoma, found elevated leukocyte counts, suggesting that this could predict reduced overall survival.25
Although nearly all blood count parameters were not shown to be different in this study, abnormal PC was significantly associated with high-grade glioma – no members of the control group had abnormal PC, while 4 patients in the case group had abnormal PC – one higher than the reference range, and three lower (Tables 2 and 3). However, using numerical values for PC, a statistically significant difference between cases and controls was not found. This result can be compared to previous investigations6,22 in which no statistically significant differences were found in PC between cases and controls (p > 0.05). However, abnormal PC was statistically favored in the cases. Small study size as well as differences in the timing of blood sample collection may explain the differences in these results with other studies.
Finally, multivariate analysis also identified that a preoperative ECOG score of 2 or 3 was significantly associated with high-grade glioma. However, no studies have been found to determine whether the ECOG value is related to glioma, so more research would be needed to determine the relationship between the two. However, in cancer patients, an ECOG 3-4 is associated with a higher risk of in-hospital mortality.26,27
Published results may imply judicious use of anticoagulant medication among glioblastoma patients,11,19,20,28 but other research suggests a higher risk of heammorage,29 or there is no effect in patient outcome.5,30 Of the two blood factors associated here, platelet count has been used as a predictor of VTE31 and decreased PT has been associated with decreased survival.6 Our results show that there may be some patients with prolonged coagulation, which underlines the importance of testing patients before including anticoagulant therapy.
Therefore, it is still unclear whether using anticoagulant treatment is helpful in improving any aspect of glioma treatment, but the evidence somewhat leans toward use of well-tolerated drugs. Additional research on which patients would benefit from anticoagulant prophylaxis would be welcome. Given that alterations in coagulation also play a role in tumor development and metastasis,7 it would also be useful to analyze whether anticoagulation therapy can inhibit tumor growth or metastasis.
This study presented certain limitations, such as limited sample size and scope since patients were not subjected to additional tests. Additionally, it was not determined when the parameters of the coagulation profile were altered, so the study could not determine when a blood analysis would produce meaningful results. For example, corticosteriod treatment can alter coagulation profile in patients with glioma.32 In addition, cancer treatments such as sugery and chemotherapy can also alter coagulation.13 Another study limitation was that the study group was compared to only one control group, that is, patients with meningioma. Meningioma patients also have alterations to coagulation profile, but to a somewhat lesser degree.7 If this is the case, this study may underestimate the magnitude of changes between healthy individuals and those with gliomas.
Taken together, it appears that high-grade glioma patients have altered blood coagulation to a greater degree than patients with benign brain tumors and are more likely to be diagnosed when the disease interferes more strongly with their self-care and work activities. Furthermore, this paper has shown, for the first time, that glioma patients may also have reduced coagulation. This suggests a more careful treatment of coagulation among these patients.
NJQP: Investigation, Writing – Original Draft
APGR: Supervision, Project administration
LJFR: Conceptualization, Writing – Review & Editing
Figshare. Underlying Data for article “Altered coagulation profile of patients with high-grade glioma: clinical study with control group”. https://doi.org/10.6084/m9.figshare.26391244. 33
This project contains following dataset:
• Data File 1: Coagulacion-raw-data-eng.xlsx
• Data File 2: STROBE checklist for ‘Altered coagulation profile of patients with high-grade glioma: case-control study’
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Neuroimmunology, neuro-coagulation, neuroinflammation
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Partly
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Neuroimmunology, neuro-coagulation, neuroinflammation
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
References
1. Orešković D, Madero Pohlen A, Cvitković I, Alen JF, et al.: Glycemia and Coagulation in Patients with Glioblastomas.World Neurosurg. 2024; 189: e999-e1005 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Neurosurgery, neuro-oncology
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 2 (revision) 31 Oct 24 |
read | |
Version 1 29 Aug 24 |
read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)