BRCA2 gene mutations and coagulation-associated biomarkers

Cancer genetic profile and risk of thrombosis

Cancer-associated thrombosis (CAT) remains a leading cause of morbidity and mortality among oncology patients, with an incidence influenced by tumor type, stage, treatment, and molecular characteristics. This review explores the molecular determinants of venous thromboembolism (VTE) in cancer, emphasizing its pathophysiology and association with specific oncogenic alterations. Certain molecular profiles exhibit heightened VTE risk. In lung cancer, due to hypercoagulability mechanisms linked to tissue factor overexpression, an increased incidence of VTE has been reported in populations with ALK (30-40 %) and ROS1 rearrangements (34.7-46.6 %). In gastrointestinal cancers, while pancreatic adenocarcinoma has the highest VTE rates (up to 22 %), KRAS mutations seem to be implicated but not conclusively validated. Similarly, colorectal cancer mutations (KRAS/BRAFV600E) and antiangiogenic therapies may elevate thrombotic risk, warranting further study. High-grade gliomas, particularly glioblastomas, present VTE rates up to 30 %, driven by podoplanin-induced platelet aggregation. IDH1 mutations inversely correlate with thrombosis, highlighting its protective role. Emerging evidence suggests that agnostic biomarkers such as STK11 mutations influence VTE risk across tumor types, while others like KRAS, MET and BRCA mutations show inconclusive results. Large-scale validation studies are imperative to integrate molecular profiles into clinical practice. Until then, management decisions should be individualized, balancing the thrombotic risks with oncologic considerations.

Predictive models and biomarkers for survival in stage III breast cancer: a review of clinical applications and future directions

Stage III breast cancer, characterized by locally advanced tumors and potential regional lymph node involvement, presents a formidable challenge to both patients and healthcare professionals. Accurate prediction of survival outcomes is crucial for guiding treatment decisions and optimizing patient care. This publication explores the potential clinical utility of predictive tools, encompassing genetic markers, imaging techniques, and clinical parameters, to improve survival outcome predictions in stage III breast cancer. Multimodal approaches, integrating these tools, hold the promise of delivering more precise and personalized predictions. Despite the inherent challenges, such as data standardization and genetic heterogeneity, the future offers opportunities for refinement, driven by precision medicine, artificial intelligence, and global collaboration. The goal is to empower healthcare providers to make informed treatment decisions, ultimately leading to improved survival outcomes and a brighter horizon for individuals facing this challenging disease.

Evolving perspectives in reverse cardio-oncology: A review of current status, pathophysiological insights, and future directives

Cardiovascular disease (CVD) and cancer are leading causes of mortality worldwide, traditionally linked through adverse effects of cancer therapies on cardiovascular health. However, reverse cardio-oncology, a burgeoning field, shifts this perspective to examine how cardiovascular diseases influence the onset and progression of cancer. This novel approach has revealed a higher likelihood of cancer development in patients with pre-existing cardiovascular conditions, attributed to shared risk factors such as obesity, a sedentary lifestyle, and smoking. Underlying mechanisms like chronic inflammation and clonal hematopoiesis further illuminate the connections between cardiovascular ailments and cancer. This comprehensive narrative review, spanning a broad spectrum of studies, outlines the syndromic classification of cardio-oncology, the intersection of cardiovascular risk factors and oncogenesis, and the bidirectional dynamics between CVD and cancer. Additionally, the review also discusses the pathophysiological mechanisms underpinning this interconnection, examining the roles of cardiokines, genetic factors, and the effects of cardiovascular therapies and biomarkers in cancer diagnostics. Lastly, it aims to underline future directives, emphasising the need for integrated healthcare strategies, interdisciplinary research, and comprehensive treatment protocols.

Mutation of breast cancer susceptibility genes increases cerebral microbleeds: A pilot study

OBJECTIVES

Growing evidence suggests breast cancer susceptibility gene (BRCA) mutations may augment cerebrovascular risk factors. With this influence in mind, we aimed to identify if BRCA mutations increased the prevalence of cerebral small vessel disease (CSVD).

METHODS AND MATERIALS

We performed a retrospective cross-sectional analysis of adults undergoing malignancy evaluation with confirmed BRCA mutations compared to BRCA wildtype individuals. A standard-of-care brain MRI was reviewed. Chi-squared or Fisher's, Wilcoxon rank-sum and the Student's t-test analyses were used when appropriate. Adjusted logistic regression models were fit to calculate odds ratio. Multicollinearity was tested by variance inflation factor calculation and for goodness-of-fit via the Hosmer-Lemeshow test.

RESULTS

Of 116 individuals, 44.8% (52/116) carried a BRCA mutation. Demographic and cerebrovascular risk factors did not differ. Cerebral microbleeds were more common in those with BRCA mutation: [32.7% (17/52) vs. 17.2% (11/64), p = 0.05] with an adjusted odds ratio of 2.8 (95%CI 1.08-6.89, p = 0.03). Other markers of CSVD were similar amongst the cohort.

CONCLUSIONS

We identified a nearly 3-fold increase in identified cerebral microbleed in those with BRCA mutations compared with BRCA wildtype individuals suggestive of an interaction between the BRCA gene and cerebral microbleed formation. Further studies are needed to confirm our findings and to understand clinical implications.

Platelet and Cancer-Cell Interactions Modulate Cancer-Associated Thrombosis Risk in Different Cancer Types

The first cause of death in cancer patients, after tumoral progression itself, is thrombo-embolic disease. This cancer-associated hypercoagulability state is known as Trousseau's syndrome, and the risk for developing thrombotic events differs according to cancer type and stage, as well as within patients. Massive platelet activation by tumor cells is the key mediator of thrombus formation in Trousseau's syndrome. In this literature review, we aimed to compare the interactions between cancer cells and platelets in three different cancer types, with low, medium and high thrombotic risk. We chose oral squamous cell carcinoma for the low-thrombotic-risk, colorectal adenocarcinoma for the medium-thrombotic-risk, and pancreatic carcinoma for the high-thrombotic-risk cancer type. We showcase that understanding these interactions is of the highest importance to find new biomarkers and therapeutic targets for cancer-associated thrombosis.

A new classification of cardio-oncology syndromes

Increasing evidence suggests a multifaceted relationship exists between cancer and cardiovascular disease (CVD). Here, we introduce a 5-tier classification system to categorize cardio-oncology syndromes (COS) that represent the aspects of the relationship between cancer and CVD. COS Type I is characterized by mechanisms whereby the abrupt onset or progression of cancer can lead to cardiovascular dysfunction. COS Type II includes the mechanisms by which cancer therapies can result in acute or chronic CVD. COS Type III is characterized by the pro-oncogenic environment created by the release of cardiokines and high oxidative stress in patients with cardiovascular dysfunction. COS Type IV is comprised of CVD therapies and diagnostic procedures which have been associated with promoting or unmasking cancer. COS Type V is characterized by factors causing systemic and genetic predisposition to both CVD and cancer. The development of this framework may allow for an increased facilitation of cancer care while optimizing cardiovascular health through focused treatment targeting the COS type.

Systemic hyperfibrinolysis after trauma: a pilot study of targeted proteomic analysis of superposed mechanisms in patient plasma

BACKGROUND

Viscoelastic measurements of hemostasis indicate that 20% of seriously injured patients exhibit systemic hyperfibrinolysis, with increased early mortality. These patients have normal clot formation with rapid clot lysis. Targeted proteomics was applied to quantify plasma proteins from hyperfibrinolytic (HF) patients to elucidate potential pathophysiology.

METHODS

Blood samples were collected in the field or at emergency department arrival and thrombelastography (TEG) was used to characterize in vitro clot formation under native and tissue plasminogen activator (tPA)-stimulated conditions. Ten samples were taken from injured patients exhibiting normal lysis time at 30 min (Ly30), "eufibrinolytic" (EF), 10 from HF patients, defined as tPA-stimulated TEG Ly30 >50%, and 10 from healthy controls. Trauma patient samples were analyzed by targeted proteomics and ELISA assays for specific coagulation proteins.

RESULTS

HF patients exhibited increased plasminogen activation. Thirty-three proteins from the HF patients were significantly decreased compared with healthy controls and EF patients; 17 were coagulation proteins with anti-protease consumption (p < 0.005). The other 16 decreased proteins indicate activation of the alternate complement pathway, depletion of carrier proteins, and four glycoproteins. CXC7 was elevated in all injured patients versus healthy controls (p < 0.005), and 35 proteins were unchanged across all groups (p > 0.1 and fold change of concentrations of 0.75-1.3).

CONCLUSION

HF patients had significant decreases in specific proteins and support mechanisms known in trauma-induced hyperfibrinolysis and also unexpected decreases in coagulation factors, factors II, X, and XIII, without changes in clot formation (SP, R times, or angle). Decreased clot stability in HF patients was corroborated with tPA-stimulated TEGs.

LEVEL OF EVIDENCE

Prognostic, level III.