Cancer-Associated Thrombosis: A Clinical Scoping Review of the Risk Assessment Models Across Solid Tumours and Haematological Malignancies

Venous thromboembolism in patients with acute myeloid leukemia: development of a predictive model

BACKGROUND

Patients with acute myeloid leukemia (AML) are at increased risk of venous thromboembolic events (VTE). However, thromboprophylaxis is largely underused.

OBJECTIVES

This study aimed to determine possible VTE development risk factors and to develop a novel predictive model.

METHODS

We conducted a retrospective cohort study of adult patients with newly diagnosed AML. We used univariate and multivariable logistic regression to estimate binary outcomes and identify potential predictors. Based on our final model, a dynamic nomogram was constructed with the goal of facilitating VTE probability calculation.

RESULTS

Out of 626 eligible patients with AML, 72 (11.5%) developed VTE during 6 months of follow-up. Six parameters were independent predictors: male sex (odds ratio [OR] 1.82, 95% confidence interval [CI]: 1.077-2.065), prior history of thrombotic events (OR 2.27, 95% CI: 1.4-4.96), international normalized ratio (OR 0.21, 95% CI: 0.05-0.95), Eastern Cooperative Oncology Group performance status (OR 0.71, 95% CI: 0.53-0.94), and intensive therapy (OR 2.05, 95% CI: 1.07-3.91). The C statistics for the model was 0.68. The model was adequately calibrated and internally validated. The decision-curve analysis suggested the use of thromboprophylaxis in patients with VTE risks between 8 and 20%.

CONCLUSION

We developed a novel and convenient tool that may assist clinicians in identifying patients whose VTE risk is high enough to warrant thromboprophylaxis.

Macrophages and platelets in liver fibrosis and hepatocellular carcinoma

During fibrosis, (myo)fibroblasts deposit large amounts of extracellular matrix proteins, thereby replacing healthy functional tissue. In liver fibrosis, this leads to the loss of hepatocyte function, portal hypertension, variceal bleeding, and increased susceptibility to infection. At an early stage, liver fibrosis is a dynamic and reversible process, however, from the cirrhotic stage, there is significant progression to hepatocellular carcinoma. Both liver-resident macrophages (Kupffer cells) and monocyte-derived macrophages are important drivers of fibrosis progression, but can also induce its regression once triggers of chronic inflammation are eliminated. In liver cancer, they are attracted to the tumor site to become tumor-associated macrophages (TAMs) polarized towards a M2- anti-inflammatory/tumor-promoting phenotype. Besides their role in thrombosis and hemostasis, platelets can also stimulate fibrosis and tumor development by secreting profibrogenic factors and regulating the innate immune response, e.g., by interacting with monocytes and macrophages. Here, we review recent literature on the role of macrophages and platelets and their interplay in liver fibrosis and hepatocellular carcinoma.

Validation of venous thromboembolism predictive model in hematologic malignancies

Although several scores stratify venous thromboembolism (VTE) risk in solid tumors, hematologic malignancies (HM) are underrepresented. To develop an internal and external validation of a logistic regression model to predict VTE risk in hospitalized HM patients. Validation of the existing VTE predictive model was performed through a prospective case-control study in 496 hospitalized HM patients between December 2010 and 2020 at the Arnaldo Milián University Hospital, Cuba. The predictive model designed with data from 285 patients includes 5 predictive factors: hypercholesterolemia, tumoral activity, use of thrombogenic drugs, diabetes mellitus, and immobilization. The model was internally validated using bootstrap analysis. External validation was realized in a prospective cohort of 211 HM patients. The predictive model had a 76.4% negative predictive value (NPV) and an 81.7% positive predictive value (PPV) in the bootstrapping validation. The area under curve (AUC) in the bootstrapping set was 0.838. Accuracy was 80.1% and 82.9% in the internal and external validation, respectively. In the external validation, the model produced 89.7% of NPV, 67.7% of PPV, 74.6% of sensitivity, and 86.2% of specificity. The AUC in the external validation was 0.900. VTE predictive model is a reproducible and simple tool with good accuracy and discrimination.

Comparison among three predictive models for cancer-associated thromboembolism in a hispanic population

In this study we aimed to evaluate and compare the overall performance of the Khorana, PROTECHT, and CONKO scores as predictive scores for the occurrence of venous thromboembolism (VTE) among ambulatory Hispanic patients with solid tumors. We included all outpatients with newly diagnosed solid tumors receiving systemic chemotherapy in Hospital San Juan Dios, San José, Costa Rica, from January to December 2021. For each patient the Khorana, PROTECHT, and CONKO scores were calculated at the beginning of treatment. The sixth-month cumulative incidence of VTE was estimated using the Fine & Gray competing risk model. The receiver operating characteristic (ROC) curve was used to assess the performance of each predictive tool through the analysis of the c-statistic, sensitivity, and specificity. A total of 708 patients were included in the research. After a median follow-up of 8.13 months, the cumulative VTE incidence at six months was 4.45% (95%CI: 3.25-6.91%) for the overall population. At the conventional positivity threshold of 3 points, these scores classified from 17.7 to 32.5% of all patients as high-risk for VTE. Patients belonging to the high-risk category of the Khorana, PROTECHT, and CONKO scores had significantly higher risk of VTE in comparison to low-risk patients (Khorana score: Hazard Ratio (HR): 2.66; 95%CI:1.20-5.89; p = 0.042; PROTECHT score: HR: 3.44; 95%CI:1.63-7.21; p = 0.001; CONKO score HR: 3.68; 95%CI:1.72-7.85; p = 0.001). The c-statistic of the ROC curve was: 0.62 (95%CI: 0.52-0.72), 0.62 (95%CI: 0.52-0.73), and 0.65 (95%CI: 0.56-0.76) for the Khorana, PROTECHT, and CONKO scores, respectively; with similar sensitivity (range: 67-70%) and specificity (range: 52-62%) among them. For Hispanic patients with solid tumors the Khorana, PROTECHT, and CONKO scores accurately categorize their risk of VTE. However, the overall discriminatory performance of these models remains poor (c-statistic from 0.62 to 0.65) for predicting all patients at risk for thromboembolic events.

Simple yet (more?) effective. Venous thromboembolism risk assessment model for germ cell tumour patients receiving first-line chemotherapy

BACKGROUND

Germ cell tumours (GCT) are highly curable malignancies. Venous thromboembolism (VTE) is a serious complication, needing better risk assessment models (RAM).

AIM

Identification of VTE incidence and risk factors in metastatic GCT patients starting first-line chemotherapy. Developing a RAM and comparing it to Khorana risk score (KRS) and Padua Prediction Score (PPS).

MATERIAL AND METHODS

We retrospectively analysed GCT patients staged IS-IIIC. VTE risk factors were identified with logistic regression. Area under curve of receiver operating characteristic (AUC-ROC), Akaike and Bayesian Information Criteria (AIC, BIC) were calculated for the developed RAM, KRS and PPS.

RESULTS

Among 495 eligible patients, VTE occurred in 69 (13.9%), including 40 prior to chemotherapy. Vein compression (OR: 8.96; 95% CI: 2.85-28.13; p < 0.001), clinical stage IIIB-IIIC (OR: 5.68; 95% CI: 1.82-17.70; p = 0.003) and haemoglobin concentration (OR for 1 g/dL decrease: 1.32; 95% CI: 1.03-1.67; p = 0.026) were significant in our RAM. KRS ≥ 3 (OR: 3.31; 95% CI: 1.77-6.20; p < 0.001), PPS 4-5 (OR: 3.06; 95% CI: 1.49-6.29; p = 0.002) and PPS > 5 (OR 8.05; 95% CI 3.79-17.13; p < 0.001) correlated with VTE risk. Diagnostic criteria (AUC-ROC, AIC, BIC) for the developed RAM, KRS and PPS were (0.885; 0.567; -1641), (0.588; 0.839; -1576) and (0.700; 0.799; -1585), respectively. In the numerical score, the optimal cut-off point for high-risk was ≥9, with sensitivity, specificity, positive and negative predictive value of 0.78, 0.77, 0.35 and 0.96, respectively.

CONCLUSIONS

Our RAM, based on vein compression, clinical stage and haemoglobin concentration proved superior to both KRS and PPS. VTE is frequent in GCT patients.

A role for platelets in metabolic reprogramming of tumor-associated macrophages

Cancer incidence and mortality are growing worldwide. With a lack of optimal treatments across many cancer types, there is an unmet need for the development of novel treatment strategies for cancer. One approach is to leverage the immune system for its ability to survey for cancer cells. However, cancer cells evolve to evade immune surveillance by establishing a tumor microenvironment (TME) that is marked by remarkable immune suppression. Macrophages are a predominant immune cell within the TME and have a major role in regulating tumor growth. In the TME, macrophages undergo metabolic reprogramming and differentiate into tumor-associated macrophages (TAM), which typically assume an immunosuppressive phenotype supportive of tumor growth. However, the plasticity of macrophage biology offers the possibility that macrophages may be promising therapeutic targets. Among the many determinants in the TME that may shape TAM biology, platelets can also contribute to cancer growth and to maintaining immune suppression. Platelets communicate with immune cells including macrophages through the secretion of immune mediators and cell-cell interaction. In other diseases, altering platelet secretion and cell-cell communication has been shown to reprogram macrophages and ameliorate inflammation. Thus, intervening on platelet-macrophage biology may be a novel therapeutic strategy for cancer. This review discusses our current understanding of the interaction between platelets and macrophages in the TME and details possible strategies for reprogramming macrophages into an anti-tumor phenotype for suppressing tumor growth.

Comparison of three risk assessment models for thromboembolism in multiple myeloma patients receiving immunomodulators: a Brazilian historical cohort

Venous thromboembolism (VTE) is among the complications of Multiple Myeloma (MM) and may occur in up to 10% of this patient population. However, medications used in MM therapy such as immunomodulators (IMID) may raise these rates. Thus, risk prediction models have been developed to quantify the risk of VTE in MM patients. The aim of this study is to compare the performance of three risk assessment models for VTE in newly diagnosed MM (NDMM) patients using immunomodulatory agents. A historical cohort study during a 10-year period in a Brazilian metropolis with NDMM treated with IMID. Data were collected from patient's medical charts for the period of one year to calculate the scores using IMPEDE VTE, SAVED, and International Myeloma Working Group (IMWG) guidelines. The area under the curve (AUC) of the Receiver Operating Characteristic curve analysis was calculated to assess the discriminative power of three risk assessment models. We included 131 patients (9 in the VTE group versus 122 in the non VTE group). According to IMPEDE, 19.1, 62.6, and 18.3% of patients were considered low, intermediate, and high risk, respectively. SAVED classified 32.1% as high risk and 64.9% had ≥2 risk factors based on IMWG guidelines. The AUC of the IMPEDE VTE score was 0.80 (95% CI 0.66-0.95, p = 0.002), of the SAVED score was 0.69 (95% CI 0.49-0.89, p = 0.057), and of the IMWG risk score was 0.68 (95% CI 0.48-0.88, p = 0.075). IMPEDE VTE was the most accurate in predicting the development of VTE in Brazilian patients on IMID therapy. The SAVED score and the IMWG guidelines did not show discriminative ability in predicting VTE based on the population involved in this study.

Evolving Knowledge on Primary and Secondary Prevention of Venous Thromboembolism in Carriers of Hereditary Thrombophilia: A Narrative Review

The association between heritability of venous thromboembolism (VTE) and thrombophilia was first reported clinically in 1956, later followed by the first description of a congenital cause of hypercoagulability-antithrombin deficiency-in 1965. Since then, our knowledge of hereditary causes of hypercoagulability, which may predispose carriers to VTE has improved greatly. Novel genetic defects responsible for severe thrombophilia have been recently identified and we have learned that a wide range of interactions between thrombophilia and other genetic and acquired risk factors are important determinants of the overall individual risk of developing VTE. Furthermore, therapeutic strategies in thrombophilic patients have benefited significantly from the introduction of direct oral anticoagulants. The present review is an overview of the current knowledge on the mechanisms underlying inherited thrombophilia, with a particular focus on the latest achievements in anticoagulation protocols and prevention strategies for thrombosis in carriers of this prothrombotic condition.

Evolving Knowledge on Primary and Secondary Prevention of Venous Thromboembolism in Carriers of Hereditary Thrombophilia: A Narrative Review

The association between heritability of venous thromboembolism (VTE) and thrombophilia was first reported clinically in 1956, later followed by the first description of a congenital cause of hypercoagulability-antithrombin deficiency-in 1965. Since then, our knowledge of hereditary causes of hypercoagulability, which may predispose carriers to VTE has improved greatly. Novel genetic defects responsible for severe thrombophilia have been recently identified and we have learned that a wide range of interactions between thrombophilia and other genetic and acquired risk factors are important determinants of the overall individual risk of developing VTE. Furthermore, therapeutic strategies in thrombophilic patients have benefited significantly from the introduction of direct oral anticoagulants. The present review is an overview of the current knowledge on the mechanisms underlying inherited thrombophilia, with a particular focus on the latest achievements in anticoagulation protocols and prevention strategies for thrombosis in carriers of this prothrombotic condition.

Risk of Cardiovascular Disease in Women With and Without Breast Cancer: The Pathways Heart Study

PURPOSE

To examine cardiovascular disease (CVD) and mortality risk in women with breast cancer (BC) by cancer therapy received relative to women without BC.

METHODS

The study population comprised Kaiser Permanente Northern California members. Cases with invasive BC diagnosed from 2005 to 2013 were matched 1:5 to controls without BC on birth year and race/ethnicity. Cancer treatment, CVD outcomes, and covariate data were from electronic health records. Multivariable Cox proportional hazards models estimated hazard ratios (HRs) and 95% CIs of CVD incidence and mortality by receipt of chemotherapy treatment combinations, radiation therapy, and endocrine therapy.

RESULTS

A total of 13,642 women with BC were matched to 68,202 controls without BC. Over a 7-year average follow-up (range < 1-14 years), women who received anthracyclines and/or trastuzumab had high risk of heart failure/cardiomyopathy relative to controls, with the highest risk seen in women who received both anthracyclines and trastuzumab (HR, 3.68; 95% CI, 1.79 to 7.59). High risk of heart failure and/or cardiomyopathy was also observed in women with BC with a history of radiation therapy (HR, 1.38; 95% CI, 1.13 to 1.69) and aromatase inhibitor use (HR, 1.31; 95% CI, 1.07 to 1.60), relative to their controls. Elevated risks for stroke, arrhythmia, cardiac arrest, venous thromboembolic disease, CVD-related death, and death from any cause were also observed in women with BC on the basis of cancer treatment received.

CONCLUSION

Women with BC had increased incidence of CVD events, CVD-related mortality, and all-cause mortality compared with women without BC, and risks varied according to the history of cancer treatment received. Studies are needed to determine how women who received BC treatment should be cared for to improve cardiovascular outcomes.