Thrombotic biomarkers for risk prediction of malignant disease recurrence in patients with early stage breast cancer

A cross-sectional study on the expression of fibrinolytic system components and metalloproteinase-9 in women with early-stage and metastases breast cancer in Tucumán, Argentina

BACKGROUND

In this study, standard coagulation, t-PA, PAI-1, DD, and MMP-9 tests were performed in a specific population of patient with early and metastatic breast cancer in Tucumán, Argentina. Only PAI-1 and MMP-9 levels increased in patients with early-stage breast cancer, suggesting that they may have evolved aggressively.

BACKGROUND

■ No clinically significant differences were observed in platelet counts or global coagulation test results.

BACKGROUND

■ t-PA values decreased in patients with metastases.

BACKGROUND

■ PAI-1, DD, and MMP-9 levels increased in patients with metastases.

BACKGROUND

■ High levels of PAI-1 and MMP-9 in the early stages could indicate an aggressive course in patients.

OBJECTIVE

The hemostatic and matrix metalloproteinase (MMP) systems are known to be altered in patients with breast cancer. This cross-sectional study aimed to explore the fibrinolysis components values and MMP-9 levels in a specific population of patients with early breast cancer and metastatic breast cancer in Tucumán, Argentina.

METHODS

This cross-sectional study included 63 patients without pathology or with benign breast pathology (GA Group), 48 patients with newly diagnosed primary breast cancer (GB Group), and 65 patients with metastatic breast cancer (GC Group). Levels of standard coagulation tests, tissue plasminogen activator (t-PA), plasminogen activator inhibitor-1 (PAI-1), D-dimer (DD), and matrix metalloproteinases-9 (MMP-9) were measured in all groups.

RESULTS

PAI-1 and MMP-9 levels were higher in patient with early breast cancer than those with benign disease. However, the GC Group showed significantly higher PAI-1, DD, and MMP-9 levels than the GA Group. Furthermore, the t-PA concentrations in the GC Group were lower than those in the Control Group.

CONCLUSION

Our findings suggest that higher levels of PAI-1 and MMP-9 in patients with early-stage breast cancer may be associated with a subgroup of patients with more aggressive disease progression. In addition, significant alterations in t-PA, PAI-1, DD, and MMP-9 concentrations were observed in advanced stages of the disease. However, basic laboratory tests, such as global coagulation tests, do not effectively differentiate stages in breast cancer. Therefore, further study is needed to explore these findings in greater detail.

Activated factor XI-antithrombin and thrombin-antithrombin complexes in the prediction of venous thromboembolism and mortality in patients with non-small-cell lung cancer

BACKGROUND

Patients with non-small cell lung cancer (NSCLC) are at high risk of venous thromboembolism (VTE), especially during chemotherapy. Even though the contact system is implicated in the pathogenesis of thrombosis, limited data are available on the role of contact system activation in NSCLC-associated VTE.

OBJECTIVES

In a prospective cohort of patients with NSCLC starting chemotherapy, contact system activation and thrombin generation biomarkers were assessed in relation to 6-month VTE occurrence and mortality.

METHODS

Prechemotherapy plasma samples of 719 newly diagnosed patients with NSCLC were tested for in vivo biomarkers of contact system activation (ie, kallikrein [pKa]:antithrombin [AT; PKa:AT], activated factor [F]XI:AT [FXIa:AT], FXIa:C1-esterase inhibitor C1Inh [FXIa:C1Inh], activated FIX:AT [FIXa:AT]), and thrombin generation (ie, prothrombin fragment 1+2 [F1+2] and thrombin-antithrombin complex [TAT]). Clinical data, VTE, and mortality were recorded prospectively.

RESULTS

The 6-month VTE and mortality cumulative incidences were 11% and 27%, respectively. Basal levels of FXIa:AT complexes, F1+2, and TAT were higher in patients who developed VTE than those in VTE-free patients. Differently, PKa:AT, FIXa:AT, and TAT were lower in survivors than those in nonsurvivors. The multivariable analysis identified FXIa:AT (subdistribution hazard ratio, 1.17; 95% CI, 1.00-1.37) and TAT (subdistribution hazard ratio, 1.28; 95% CI, 1.10-1.50) as VTE-independent risk factors during chemotherapy. A score based on these biomarkers was generated, which was able to discriminate patients at significantly higher rates of VTE and mortality.

CONCLUSION

Elevated in vivo contact pathway activation and thrombin generation were observed in patients with NSCLC who developed VTE. Furthermore, a score based on both FXIa:AT and TAT levels was developed to identify those patients at higher risk of VTE and mortality.

O-GlcNAcylation: Crosstalk between Hemostasis, Inflammation, and Cancer

O-linked β-N-acetylglucosamine (O-GlcNAc, O-GlcNAcylation) is a post-translational modification of serine/threonine residues of proteins. Alterations in O-GlcNAcylation have been implicated in several types of cancer, regulation of tumor progression, inflammation, and thrombosis through its interaction with signaling pathways. We aim to explore the relationship between O-GlcNAcylation and hemostasis, inflammation, and cancer, which could serve as potential prognostic tools or clinical predictions for cancer patients' healthcare and as an approach to combat cancer. We found that cancer is characterized by high glucose demand and consumption, a chronic inflammatory state, a state of hypercoagulability, and platelet hyperaggregability that favors thrombosis; the latter is a major cause of death in these patients. Furthermore, we review transcription factors and pathways associated with O-GlcNAcylation, thrombosis, inflammation, and cancer, such as the PI3K/Akt/c-Myc pathway, the nuclear factor kappa B pathway, and the PI3K/AKT/mTOR pathway. We also review infectious agents associated with cancer and chronic inflammation and potential inhibitors of cancer cell development. We conclude that it is necessary to approach both the diagnosis and treatment of cancer as a network in which multiple signaling pathways are integrated, and to search for a combination of potential drugs that regulate this signaling network.

Association between D-dimer levels and clinicopathological characteristics of pancreatic cancer and its role in prognosis: A systematic review and meta-analysis

According to previous studies, D-dimer levels are associated with the prognosis of patients with pancreatic cancer (PC). However, the results of current studies are limited and controversial. Therefore, we performed this meta-analysis to assess the relationship between D-dimer levels and prognostic and pathological characteristics of PC patients. We first searched the databases of PubMed, Embase, The Cochrane Library, Web Of Science, CBM, VIP, CNKI and Wanfang to identify available studies. The relationship between pretreatment d-dimer levels and prognosis in PC patients was assessed using the combined hazard ratio (HR) and 95% confidence interval (CI). The combined odds ratio (OR) and 95% confidence interval (CI) were used in assessing the relationship between pathological characteristics and d-dimer levels in PC patients. Stata 12.0 software was used for all statistical analyses. In total, we included 13 studies involving 2777 patients. The results showed that elevated pre-treatment d -dimer levels were significantly associated with OS deterioration (HR = 1.46 95% CI: 1.34-1.59; p < 0.001). We also performed subgroup analyses based on sample size, d -dimer threshold, follow-up time, and HR source to further validate the prognostic value of pretreatment d -dimer levels in PC. In addition, according to the analysis, high pretreatment d -dimer levels in PC patients were associated with late tumor stage (OR = 4.78, 95% CI 1.73-13.20, p < 0. 005), larger tumor size (OR = 1.72, 95% CI 1.25-2.35, p < 0.005), and distant metastasis of tumor (OR = 5.06, 95% CI 2.45-10.43, p < 0.005) were significantly associated. In contrast, other clinicopathological factors, including age, gender and lymph node metastasis, were not associated with d-dimer levels. In conclusion, we found that high pre-treatment d-dimer levels were associated with a poor prognosis in PC patients, in relation to later tumor stage, larger tumor size and the development of distant metastases. Plasma d-dimer levels can be used as a biomarker of prognosis in PC patients.

Machine learning-based models for the prediction of breast cancer recurrence risk

Breast cancer is the most common malignancy diagnosed in women worldwide. The prevalence and incidence of breast cancer is increasing every year; therefore, early diagnosis along with suitable relapse detection is an important strategy for prognosis improvement. This study aimed to compare different machine algorithms to select the best model for predicting breast cancer recurrence. The prediction model was developed by using eleven different machine learning (ML) algorithms, including logistic regression (LR), random forest (RF), support vector classification (SVC), extreme gradient boosting (XGBoost), gradient boosting decision tree (GBDT), decision tree, multilayer perceptron (MLP), linear discriminant analysis (LDA), adaptive boosting (AdaBoost), Gaussian naive Bayes (GaussianNB), and light gradient boosting machine (LightGBM), to predict breast cancer recurrence. The area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and F1 score were used to evaluate the performance of the prognostic model. Based on performance, the optimal ML was selected, and feature importance was ranked by Shapley Additive Explanation (SHAP) values. Compared to the other 10 algorithms, the results showed that the AdaBoost algorithm had the best prediction performance for successfully predicting breast cancer recurrence and was adopted in the establishment of the prediction model. Moreover, CA125, CEA, Fbg, and tumor diameter were found to be the most important features in our dataset to predict breast cancer recurrence. More importantly, our study is the first to use the SHAP method to improve the interpretability of clinicians to predict the recurrence model of breast cancer based on the AdaBoost algorithm. The AdaBoost algorithm offers a clinical decision support model and successfully identifies the recurrence of breast cancer.

Thromboelastography (TEG) parameters as potential predictors of malignancy and tumor progression in colorectal cancer

PURPOSE

The purpose of this study was to investigate the use of thromboelastography (TEG) in patients with colorectal cancer and to examine whether the TEG parameters can be used as potential markers for disease screening and prediction of disease severity.

METHODS

One-hundred fifteen healthy controls (HC), 43 patients with benign adenoma (BA), and 387 patients with colorectal cancers (CRC) were included in the study. TEG parameters (reaction time, R; clot kinetics, K; alpha angle, α-angle; maximum amplitude, MA), conventional laboratory parameters, and clinical information were collected and analyzed among the HC, BA, and CRC groups. Receiver operating characteristics (ROC) were used for differential analysis. The correlation between TEG parameters and pathological information of CRC (differentiation degree, vaso-nerve infiltration, TNM stage) was analyzed. The differences in TEG parameters at different stages of disease and pre-/post operation were compared.

RESULTS

Shorter K and higher α-angle/MA were found in patients with CRC compared with HC and BA (P < 0.001). TEG parameters demonstrated moderate diagnostic value (distinguish CRC from HC + BA: K-AUC = 0.693, α-angle-AUC = 0.687, MA-AUC = 0.700) in CRC but did not outperform traditional laboratory parameters. TEG hypercoagulability was closely associated with tumor markers (carcinoma embryonic antigen and carbohydrate antigen 19-9) and pathological information (differentiation degree, vaso-nerve infiltration, and TNM stage) (P < 0.05). Trend analysis showed that K decreased, but α-angle/MA increased gradually as the tumor progressed (P < 0.001). K- and α-angle showed slightly better sensitivity in predicting advanced tumors compared to traditional laboratory parameters. In CRC patients, 3-6 months after tumor resection, K [from 1.8 (1.5, 2.3) to 1.9 (1.6, 2.6)], α-angle [from 65.3 (59.0, 68.6) to 63.7 (56.6, 68.5)], and MA [from 61.0 (58.2, 66.0) to 58.9 (55.8, 61.3)] exhibited modest improvements compared to their preoperative values (P < 0.05).

CONCLUSION

TEG parameters possess moderate diagnostic value in CRC diagnosis and predicting advanced tumors, and they are closely linked to surgical interventions. Although TEG parameters do not significantly outperform traditional laboratory parameters, they still hold promise as potential alternative indicators in CRC patients.

A New Risk Prediction Model for Venous Thromboembolism and Death in Ambulatory Lung Cancer Patients

(1) Background: Venous thromboembolism (VTE) is a frequent complication in ambulatory lung cancer patients during chemotherapy and is associated with increased mortality. (2) Methods: We analyzed 568 newly diagnosed metastatic lung cancer patients prospectively enrolled in the HYPERCAN study. Blood samples collected before chemotherapy were tested for thrombin generation (TG) and a panel of hemostatic biomarkers. The Khorana risk score (KRS), new-Vienna CATS, PROTECHT, and CONKO risk assessment models (RAMs) were applied. (3) Results: Within 6 months, the cumulative incidences of VTE and mortality were 12% and 29%, respectively. Patients with VTE showed significantly increased levels of D-dimer, FVIII, prothrombin fragment 1 + 2, and TG. D-dimer and ECOG performance status were identified as independent risk factors for VTE and mortality by multivariable analysis and utilized to generate a risk score that provided a cumulative incidence of VTE of 6% vs. 25%, death of 19% vs. 55%, and in the low- vs. high-risk group, respectively (p < 0.001). While all published RAMs significantly stratified patients for risk of death, only the CATS and CONKO were able to stratify patients for VTE. (4) Conclusions: A new prediction model was generated to stratify lung cancer patients for VTE and mortality risk, where other published RAMs failed.

Tissue factor positive microparticles as a biomarker for increased risk of breast cancer-associated thrombosis: a mini review

PURPOSE OF REVIEW

Cancer-associated thrombosis (CAT), such as venous thromboembolism (VTE), is a frequent complication in cancer patients, resulting in poor prognosis. Breast cancer is not highly thrombogenic but is highly prevalent, resulting in increased VTE cases. Many cancers express tissue factor (TF), a glycoprotein that triggers coagulation. The cancer cells were shown to express and release substantial amounts of TF-positive microparticles (MPTF), associated with a prothrombotic state. This narrative review evaluated the current use of the procoagulant MPTF as a biomarker for thrombosis risk in breast cancer.

RECENT FINDINGS

Tumors of epithelial origin with elevated TF expression have been associated with increased VTE incidence. Thus, studies have affirmed the use of MPTF biomarkers for VTE risk in many cancers. Patients with metastatic breast cancer and CAT were found to exhibit elevated procoagulant microparticles in vitro, due to TF expression. The silencing of TF was associated with decreased microparticle release in breast carcinoma cell lines, associated with decreased coagulation.

SUMMARY

CAT is a multifactorial condition, with several various underlying diseases. It is proposed that MPTF may be an effective biomarker for thrombosis risk in breast cancer patients but requires a more systemic evaluation utilizing standardized quantification methods.

D-Dimers Variability in the Perioperative Period of Breast Cancer Surgery Helps to Predict Cancer Relapse: A Single-Centre Prospective Study

BACKGROUND

The importance of D-dimers (DD) assessment in the diagnostic algorithm of venous thromboembolic (VTE) disease is well known. Increase of DD concentration may be also associated with neoplastic disease. Many studies documented that high concentration of DD before solid tumour surgery indicates more advanced disease and poor life expectancy. The prognostic value of the DD concentration variability in the perioperative period, in women undergoing breast cancer surgery, has not been analysed so far. Thus, the aim of the present prospective study was to assess whether the trend of DD concentration changes in the perioperative period may predict cancer recurrence in women undergoing breast cancer surgery.

MATERIALS AND METHODS

189 consecutive women with histopathological diagnosis of breast cancer (BC) referred for surgical treatment were included. DD concentration was measured twice in each patient: at the time of admission to hospital and at the time of discharge home. Enoxaparin in standard dose of 40 mg daily s. c. was used as primary VTE prophylaxis in all of the patients.

RESULTS

The recurrence of BC, within 1 year observation time, occurred in 13 patients (6.8%), in 11 (5.8%) patients with DD increase after surgery and only in 2 (1.1%) without an increase in DD, P = .0179. Increase in DD concentration after BC surgery was an independent positive predictor of disease relapse (OR 8.600, LCI 1.451, UCI 96.80, P = .0371) together with the lack of postoperative radiotherapy (OR 6.009, LCI 1.305, UCI 31.95, P = .0245), whereas the lack of postoperative chemotherapy predicted no BC relapse (OR .07355, LCI .0056, UCI .58, P = .0245).

CONCLUSIONS

Increase of DD in the early postoperative period may be considered as additional independent predictor of recurrence of BC within 1 year.

Hemostasis and cancer: Impact of haemostatic biomarkers for the prediction of clinical outcomes in patients with cancer

Patients with cancer are characterized by a dysregulation of the hemostatic system and systemic hypercoagulability. Different components of the hemostatic system are involved in tumor-promoting mechanisms including primary tumor growth, cancer cell invasion, immune evasion, angiogenesis, and the metastatic process. Therefore, different degrees of systemic hemostatic activation in patients with cancer can reflect distinct underlying biological phenotypes of cancer and seem to correlate with cancer aggressiveness. Peripheral blood levels of hemostatic biomarkers, indicating the activation status of different parts of the hemostatic system including the coagulation cascade, fibrinolytic activity, platelet activation, or endothelial activation, can be used to reflect cancer-associated systemic hypercoagulability. Thereby, hemostatic biomarkers represent promising candidates to investigate as surrogate markers for underlying cancer activity and progression dynamics and therefore as biomarkers for the prediction of clinical outcomes in cancer patients. In the present review, we provide an up-to-date summary of available data on hemostatic biomarkers for prognostication of overall survival and prediction of therapy response in patients with cancer, including specific oncologic treatment settings for potential clinical application. We provide a thorough discussion on potential clinical implementation and current limitations and highlight the most promising emerging biomarkers that might be used to contribute to risk-stratified, personalized oncologic decision making in the future.

Incidence and Risk Factors for Venous Thromboembolism in Female Patients Undergoing Breast Surgery

Albeit it does not have the highest venous thromboembolism (VTE) incidence compared to other neoplasms, breast cancer contributes to many VTE events because it is the most diagnosed tumor in women. We aim to analyze the occurrence and timing of VTE during the follow-up of patients who underwent breast surgery, the possible correlated factors, and the overall survival. This retrospective study included all female patients diagnosed with mammary pathology and surgically treated in our clinic between January 2002 and January 2012. Of 5039 women who underwent breast surgery, 1056 were found to have no evidence of malignancy, whereas 3983 were diagnosed with breast cancer. VTE rate resulted significantly higher in patients with invasive breast cancer than in women with benign breast disease or carcinoma in situ. Invasive cancers other than lobular or ductal were associated with a higher VTE rate. In addition, chronic hypertension, high BMI, cancer type, and evidence of metastasis turned out to be the most significant risk factors for VTE in women who underwent breast surgery. Moreover, VTE occurrence significantly impacted survival in invasive breast cancer patients. Compared to women with benign mammary pathology, VTE prevalence in women with breast cancer is significantly higher. The knowledge about the risk factors of VTE could be helpful as prognostic information, but also to eventually target preventive treatment strategies for VTE, as far as the co-existence of invasive breast cancer and VTE has a significantly negative impact on survival.

Proteomics and its applications in breast cancer

Breast cancer is an individually unique, multi-faceted and chameleonic disease, an eternal challenge for the new era of high-integrated precision diagnostic and personalized oncomedicine. Besides traditional single-omics fields (such as genomics, epigenomics, transcriptomics and metabolomics) and multi-omics contributions (proteogenomics, proteotranscriptomics or reproductomics), several new "-omics" approaches and exciting proteomics subfields are contributing to basic and advanced understanding of these "multiple diseases termed breast cancer": phenomics/cellomics, connectomics and interactomics, secretomics, matrisomics, exosomics, angiomics, chaperomics and epichaperomics, phosphoproteomics, ubiquitinomics, metalloproteomics, terminomics, degradomics and metadegradomics, adhesomics, stressomics, microbiomics, immunomics, salivaomics, materiomics and other biomics. Throughout the extremely complex neoplastic process, a Breast Cancer Cell Continuum Concept (BCCCC) has been modeled in this review as a spatio-temporal and holistic approach, as long as the breast cancer represents a complex cascade comprising successively integrated populations of heterogeneous tumor and cancer-associated cells, that reflect the carcinoma's progression from a "driving mutation" and formation of the breast primary tumor, toward the distant secondary tumors in different tissues and organs, via circulating tumor cell populations. This BCCCC is widely sustained by a Breast Cancer Proteomic Continuum Concept (BCPCC), where each phenotype of neoplastic and tumor-associated cells is characterized by a changing and adaptive proteomic profile detected in solid and liquid minimal invasive biopsies by complex proteomics approaches. Such a profile is created, beginning with the proteomic landscape of different neoplastic cell populations and cancer-associated cells, followed by subsequent analysis of protein biomarkers involved in epithelial-mesenchymal transition and intravasation, circulating tumor cell proteomics, and, finally, by protein biomarkers that highlight the extravasation and distant metastatic invasion. Proteomics technologies are producing important data in breast cancer diagnostic, prognostic, and predictive biomarkers discovery and validation, are detecting genetic aberrations at the proteome level, describing functional and regulatory pathways and emphasizing specific protein and peptide profiles in human tissues, biological fluids, cell lines and animal models. Also, proteomics can identify different breast cancer subtypes and specific protein and proteoform expression, can assess the efficacy of cancer therapies at cellular and tissular level and can even identify new therapeutic target proteins in clinical studies.

Hemostatic Biomarkers and Venous Thromboembolism Are Associated With Mortality and Response to Chemotherapy in Patients With Pancreatic Cancer

[Figure: see text].

Hemostatic Biomarkers and Cancer Prognosis: Where Do We Stand?

Cancer patients are characterized by hypercoagulable state and an increased rate of thrombotic events, the most common being venous thromboembolism. Several hemostatic pathways that are significantly implicated in mechanisms of thromboembolic disease are also involved in growth, invasion, and metastatic spread of malignant cells as well in tumor-induced neo-angiogenesis. This close connection between cancer and the hemostatic system has prompted numerous studies on the role of alterations in the level plasma biomarkers of the different compartments of hemostasis in predicting cancer prognosis. In this review, we collect the results of several exemplificative studies that have evaluated clotting activation biomarkers in relation to different cancer outcomes with a final emphasis on current research and forthcoming directions in this field.

Association between short-term heart rate variability and blood coagulation in patients with breast cancer

The purpose of this study was to investigate the relationship between heart rate variability (HRV), a non-invasive tool for evaluating autonomic function, and routine coagulation indices (RCIs) in patients with breast cancer (BC). Forty-six BC patients were enrolled in this study. Blood biochemistry tests were performed to extract RCIs, including prothrombin time (PT), activated partial thromboplastin time (APTT), and thrombin time (TT). Five-minute electrocardiograms were collected for analysis of HRV parameters (SDNN, RMSSD, LF, HF, LF n.u., HF n.u., LF/HF). Multiple linear regression models examined the relationship of HRV parameters with RCIs. RMSSD, LF n.u., HF n.u., LF/HF were significantly associated with PT. Specifically, the value of PT increased by 0.192 ± 0.091 or 0.231 ± 0.088 s, respectively for each 1 standard deviation (SD) increase in RMSSD or HF n.u.; it increased by 0.230 ± 0.088 or 0.215 ± 0.088 s, respectively for each 1 − SD decrease in LF n.u. or ln (LF/HF) (all P < 0.05). RMSSD was significantly associated with APTT, i.e., the value of APTT increased by 1.032 ± 0.470 s for each 1 − SD increase in RMSSD (P < 0.05). HRV parameters were associated with RCIs in patients with BC. These observations suggest that the autonomic nervous system and coagulation indices in BC patients are linked, potentially explaining the reason that they are both associated with the prognosis.

Plasma fibrinogen acts as a predictive factor for pathological complete response to neoadjuvant chemotherapy in breast cancer: a retrospective study of 1004 Chinese breast cancer patients

Background

The aim of this study was to evaluate the relationship between pre-treatment plasma fibrinogen (Fib) level and pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer patients and to assess the role of plasma Fib as a predictive factor.

Methods

Data from 1004 consecutive patients with invasive breast cancer who received NAC and subsequent surgery were retrospectively analysed. Both univariate and multivariate analyses based on logistic regression model were performed to identify clinicopathological factors associated with pCR to NAC. Cox regression model was used to determine the correlation between clinical or pathological parameters and recurrence-free survival (RFS). The Kaplan-Meier method and the log-rank test were applied in the survival analysis.

Results

The median value of Fib, rather than other plasma coagulation parameters, was significantly increased in non-pCR patients compared with pCR patients (P = 0.002). Based on the cut-off value estimated by the receiver operating characteristic (ROC) curve analysis, patients were divided into low or high Fib groups (Fib < 3.435 g/L or ≥ 3.435 g/L). Low Fib levels were significantly associated with premenopausal or perimenopausal status (P <  0.001), tumour size ≤5 cm (P = 0.002), and positive hormone receptor status (P = 0.002). After adjusted for other clinicopathological factors in the multivariate logistic regression model, low Fib status was strongly associated with pCR to NAC (OR = 3.038, 95% CI 1.667–5.537, P <  0.001). Survival analysis showed that patients with low Fib levels exhibited better 3-year RFS compared with patients with high Fib levels in the tumour size>5 cm group (77.5% vs 58.4%, log-rank, P = 0.0168).

Conclusions

This study demonstrates that low pre-treatment plasma Fib (Fib < 3.435 g/L) is an independent predictive factor for pCR to NAC in breast cancer patients. Moreover, T3-featured breast cancer patients with lower Fib level exhibit better RFS outcomes after NAC compared with high Fib status.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08284-8.

Validation of the Role of Thrombin Generation Potential by a Fully Automated System in the Identification of Breast Cancer Patients at High Risk of Disease Recurrence

Background  The measurement of thrombin generation (TG) potential by the calibrated automated thrombogram (CAT) assay provides a strong contribution in identifying patients at high risk of early disease recurrence (E-DR). However, CAT assay still needs standardization and clinical validation.

Objective  In this study, we aimed to validate the role of TG for E-DR prediction by means of the fully automated ST Genesia system.

Methods  A prospective cohort of 522 patients from the HYPERCAN study with newly diagnosed resected high-risk breast cancer was included. Fifty-two healthy women acted as controls. Plasma samples were tested for protein C, free-protein S, and TG by ST Genesia by using the STG-ThromboScreen reagent with and without thrombomodulin (TM).

Results  In the absence of TM, patients showed significantly higher peak and ETP compared with controls. In the presence of TM, significantly lower inhibition of ETP and Peak were observed in patients compared with controls. E-DR occurred in 28 patients; these patients had significantly higher peak and endogenous thrombin potential (ETP) in the absence of TM compared with disease-free patients. Multivariable analysis identified mastectomy, luminal B HER2-neg, triple negative subtypes, and ETP as independent risk factors for E-DR. These variables were combined to generate a risk assessment score, able to stratify patients in three-risk categories. The E-DR rates were 0, 4.7, and 13.5% in the low-, intermediate-, and high-risk categories (hazard ratio = 8.7; p  < 0.05, low vs. high risk).

Conclusion  Our data validate the ETP parameter with a fully automated standardized system and confirm its significant contribution in identifying high-risk early breast cancer at risk for E-DR during chemotherapy.

Thrombin generation predicts early recurrence in breast cancer patients

BACKGROUND

Cancer patients present with a hypercoagulable state often associated with poor disease prognosis.

OBJECTIVES

This study aims to evaluate whether thrombin generation (TG), a global coagulation test, may be a useful tool to improve the identification of patients at high risk of early disease recurrence (ie, E-DR within 2 years) after breast cancer surgery.

PATIENTS/METHODS

A cohort of 522 newly diagnosed patients with surgically resected high-risk breast cancer were enrolled in the ongoing prospective HYPERCAN study. TG potential was measured in plasma samples collected before starting systemic chemotherapy. Significant predictive hemostatic and clinic-pathological parameters were identified in the derivation cohort by Cox regression analysis. A risk prognostic score for E-DR was generated in the derivation and tested in the validation cohort.

RESULTS

After a median observation period of 3.4 years, DR occurred in 51 patients, 28 of whom were E-DR. E-DR subjects presented with the highest TG values as compared to both late-DR (from 2 to 5 years) and no relapse subjects (P < .01). Multivariate analysis in the derivation cohort identified TG, mastectomy, triple negative and Luminal B HER2-neg molecular subtypes as significant independent predictors for E-DR, which were utilized to generate a risk assessment score. In the derivation and validation cohorts, E-DR rates were 2.3% and 0% in the low-risk, 10.1% and 6.3% in the intermediate-risk, and 18.2% and 16.7%, in the high-risk categories, respectively.

CONCLUSIONS

Inclusion of TG in a risk-assessment model for E-DR significantly helps the identification of operated breast cancer patients at high risk of very early relapse.