CA125 as a Marker of Heart Failure in the Older Women: Population-Based Analysis

Carbohydrate Antigen 125 (CA 125): A Novel Biomarker in Acute Heart Failure

BACKGROUND

Heart failure is a global major healthcare problem with millions of hospitalizations annually and with a very high mortality. There is an increased interest in finding new and reliable biomarkers for the diagnostic, prognostic and therapeutic guidance of patients hospitalized for acute heart failure; Our review aims to summarize in an easy-to-follow flow recent relevant research evaluating the possible use and the clinical value of measuring CA 125 serum levels in acute HF.

METHODS

A thorough search in the main international databases identified a relevant pool of 170 articles, providing recently published data for this narrative review that used PRISMA guidelines.

RESULTS

There are data to sustain the role of carbohydrate antigen 125 (CA 125), a worldwide used marker of ovarian cancer, in patients with heart failure. Several studies have shown links between CA 125 levels and congestion seen in acute heart failure, high mortality and readmission rates at 6 months follow-up after discharge from acute heart failure and also a role of CA 125 in the guidance of heart failure therapy. There are also clinical trials that showed that several particularities of CA 125 make it even better than N-terminal pro b-type natriuretic peptide (NT-pro BNP)-a classical and more utilized marker of heart failure) in several scenarios of acute heart failure.

CONCLUSIONS

Although the mechanism behind the upregulation of serum CA 125 in patients with congestive HF has not been confirmed nor fully understood.

Novel Biomarkers in Early Detection of Heart Failure: A Narrative Review

Heart failure (HF) represents a significant global health challenge, characterized by a variety of symptoms resulting from cardiac dysfunction. This dysfunction often leads to systemic and pulmonary congestion. The pathophysiology of HF is complex, involving stimulation of the sympathetic nervous system, which is insufficiently balanced by the release of natriuretic peptide. This imbalance leads to progressive hypertrophy and dilatation of the heart's chambers, impairing its pumping efficiency and increasing the risk of arrhythmias and conduction disorders. The prevalence of HF is exceptionally high in industrialized nations and is expected to increase owing to an aging population and advancements in diagnostic methods. This study emphasizes the critical role of early diagnosis in reducing morbidity and mortality associated with HF, focusing specifically on the evolving importance of biomarkers in managing this condition. Biomarkers have played a key role in transforming the diagnosis and treatment of HF. Traditional biomarkers such as b-type natriuretic peptide and N-terminal pro-b-type natriuretic peptide have been widely adopted for their cost-effectiveness and ease of access. However, the rise of novel biomarkers such as growth differentiation factor 15 and adrenomedullin has shown promising results, offering superior sensitivity and specificity. These new biomarkers enhance diagnostic accuracy, risk stratification, and prognostic evaluation in HF patients. Despite these advancements, challenges remain, such as limited availability, high costs, and the need for further validation in diverse patient populations. Through a comprehensive literature review across databases such as PubMed, Google Scholar, and the Cochrane Library, this study compiles and analyzes data from 18 relevant studies, offering a detailed understanding of the current state of HF biomarkers. The study examines both traditional and emerging biomarkers such as galectin-3 and soluble suppression of tumorigenicity 2 in HF, exploring their clinical roles and impact on patient outcomes.

Serum levels of carbohydrate antigen 125 in patients with heart failure and obstructive sleep apnea syndrome: a retrospective analysis

Background

Obstructive sleep apnea syndrome (OSAS) combined with heart failure (HF) has become a serious disease that threatens human health. Therapeutic interventions targeting OSAS have been shown to improve outcomes in patients with HF, so the identification of severe OSAS in HF is critical. Carbohydrate antigen 125 (CA125) is associated with inflammation and volume overload. The levels of CA125 are elevated in the serum of patients with HF and might be further elevated in patients with HF and OSAS. The aim of this study was to measure CA125 levels in patients with HF with and without OSAS and to analyze affecting factors.

Methods

In this single-center retrospective cohort study, a total of 95 patients diagnosed with HF hospitalized in Zhongda Hospital from April 2021 to April 2022 were recruited, including 55 patients with OSAS and 40 patients without OSAS. Participants with a history of central sleep apnea syndrome, severe chronic obstructive pulmonary disease, tumors, severe infection, or who were pregnant were excluded. The histories of the participants were recorded, and laboratory examinations were performed. Binary logistic regression analysis was performed to determine the relationship between serum CA125 levels and OSAS in patients with HF.

Results

The serum CA125 levels were higher in the HF + OSAS group than in the HF group (29.60 vs. 9.68 U/mL, P<0.001). According to the univariate analysis, CA125 (>35 U/mL) was significantly related to pleural effusion, acute HF, apnea-hypopnea index (AHI), left ventricular ejection fraction (LVEF) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. Finally, the AHI demonstrated statistical significance in multiple analyses (OR 1.070, 95% CI: 1.019-1.124, P=0.006). Spearman rank correlation coefficient analysis showed that CA125 was positively correlated with AHI, and Ln(CA125) (Ln is the natural logarithm based on e) gradually increased with increasing AHI (r=0.551, P<0.0001).

Conclusions

The levels of CA125 were further increased in patients with HF and OSAS, and CA125 (>35 U/mL) was positively correlated with AHI. As a biomarker associated with inflammation and congestion, serum CA125 may have certain value in the diagnosis of patients with HF combined with OSAS.

Prognostic value of carbohydrate antigen 125 in patients undergoing surgical left ventricular reconstruction

BACKGROUND

Carbohydrate antigen 125 (CA125) is a biomarker often used in diagnosis of ovarian tumors. Studies also show that elevated CA125 implicates worse outcomes among patients with heart failure, while latter of which plays an important role in the pathophysiology of left ventricular aneurysm (LVA). However, the prognostic value of CA125 in LVA patients undergoing surgical left ventricular reconstruction (SLVR) remains unclear.

METHODS

In this single-centered cohort study, a total of 309 patients with LVA undergoing SLVR were retrospectively recruited. Univariable regression analysis was performed to identify the potential confounders for each outcome, followed by multivariable adjustment to confirm the association between CA125 and outcomes. The primary outcome was the overall mortality, and the secondary outcome was the major adverse cardiovascular and cerebrovascular events (MACCE) and perioperative outcomes. A receiver operating characteristic (ROC) curve was use to find the optimal cut-off value of CA125.

RESULTS

The median follow-up time was 55 months. The cohort was predominantly male (86.4%), with an average age of 58.6 years. Log (CA125) was associated with overall mortality (hazard ratio [HR]: 2.15, 95% confidence interval [CI]: 1.06-4.36, P = 0.033), prolonged hospital-stay time (HR:1.07, 95%CI: 1.03-1.12, P = 0.001) and increased risk of postoperative ventricular support (HR: 2.81, 95%CI: 1.10-7.18, P = 0.031) after multivariate adjustment. The optimal cut-off value for the CA125 for all-cause mortality was 13.825 U/ml with the area under curve of 0.675.

CONCLUSION

Elevated-CA125 implicates poorer short- and long-term prognosis in LVA patients undergoing SLVR.

Novel Biomarkers of Renal Dysfunction and Congestion in Heart Failure

Heart failure is a major public health problem and, despite the constantly emerging, new, effective treatments, it remains a leading cause of morbidity and mortality. Reliable tools for early diagnosis and risk stratification are crucial in the management of HF. This explains a growing interest in the development of new biomarkers related to various pathophysiological mechanisms of HF. In the course of this review, we focused on the markers of congestion and renal dysfunction in terms of their interference with cardiovascular homeostasis. Congestion is a hallmark feature of heart failure, contributing to symptoms, morbidity, and hospitalizations of patients with HF and has, therefore, become a therapeutic target in AHF. On the other hand, impaired renal function by altering the volume status contributes to the development and progression of HF and serves as a marker of an adverse clinical outcome. Early detection of congestion and an adequate assessment of renal status are essential for the prompt administration of patient-tailored therapy. This review provides an insight into recent advances in the field of HF biomarkers that could be potentially implemented in diagnosis and risk stratification of patients with HF.

Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer

Simple Summary

Ovarian cancer is the eighth most common cancer among women and has a 5-year survival of only 30–50%. The survival is close to 90% for patients in stage I but only 20% for patients in stage IV. The presently available biomarkers have insufficient sensitivity and specificity for early detection and there is an urgent need to identify novel biomarkers. The aim of our study was to broadly measure protein biomarkers to find tests for the early detection of ovarian cancer. We found that combinations of 4–7 protein biomarkers can provide highly accurate detection of early- and late-stage ovarian cancer compared to benign conditions. The performance of the tests was then validated in a second independent cohort.

Abstract

Background: Ovarian cancer is the eighth most common cancer among women and has a 5-year survival of only 30–50%. The survival is close to 90% for patients in stage I but only 20% for patients in stage IV. The presently available biomarkers have insufficient sensitivity and specificity for early detection and there is an urgent need to identify novel biomarkers. Methods: We employed the Explore PEA technology for high-precision analysis of 1463 plasma proteins and conducted a discovery and replication study using two clinical cohorts of previously untreated patients with benign or malignant ovarian tumours (N = 111 and N = 37). Results: The discovery analysis identified 32 proteins that had significantly higher levels in malignant cases as compared to benign diagnoses, and for 28 of these, the association was replicated in the second cohort. Multivariate modelling identified three highly accurate models based on 4 to 7 proteins each for separating benign tumours from early-stage and/or late-stage ovarian cancers, all with AUCs above 0.96 in the replication cohort. We also developed a model for separating the early-stage from the late-stage achieving an AUC of 0.81 in the replication cohort. These models were based on eleven proteins in total (ALPP, CXCL8, DPY30, IL6, IL12, KRT19, PAEP, TSPAN1, SIGLEC5, VTCN1, and WFDC2), notably without MUCIN-16. The majority of the associated proteins have been connected to ovarian cancer but not identified as potential biomarkers. Conclusions: The results show the ability of using high-precision proteomics for the identification of novel plasma protein biomarker candidates for the early detection of ovarian cancer.

Elevated CA125 is Related to Stroke Due to Cancer- Associated Hypercoagulation

BACKGROUND

Cancer-associated hypercoagulation is one of the major pathophysiological mechanisms of stroke in cancer patients. Carcinomatous mucins are considered to play an important role in cancer-associated hypercoagulation. Therefore, carbohydrate antigen-125 (CA125), which is a typical mucin molecule and mucin-producing tumor marker, may be related to stroke due to cancer-associated hypercoagulation.

AIMS

We aimed to clarify the association of CA125 with a hypercoagulable state in acute stroke patients with active cancer.

METHODS

We studied 77 acute ischemic stroke patients with active cancer who had undergone CA125 measurement. The study patients were categorized into hypercoagulation or non-hypercoagulation groups. The hypercoagulation group was defined as stroke patients with a D-dimer value exceeding 3 µg/mL and multiple vascular territory infarcts. Elevation of tumor markers was defined as values more than twice the upper limit of the normal range.

RESULTS

Forty-five (58%) and 32 (42%) patients were classified into hypercoagulation and non-hypercoagulation groups, respectively. The hypercoagulation group showed elevated CA125 and CEA levels, no history of hypertension, and pancreatic cancer more frequently, and higher CRP values, lower hemoglobin values, longer prothrombin time and lower platelet counts than the non-hypercoagulation group. In multivariable analysis, only elevation of CA125 was independently associated with the hypercoagulation group (adjusted odds ratio: 5.59 [95% confidence interval]: 1.33-26.41).

CONCLUSIONS

CA125, a tumor marker for mucin-producing tumors, was related to stroke due to cancer- associated hypercoagulation. CA125 may be a potential biomarker for cancer-associated hypercoagulation.

Tumour biomarkers: association with heart failure outcomes

BACKGROUND

There is increasing recognition that heart failure (HF) and cancer are conditions with a number of shared characteristics.

OBJECTIVES

To explore the association between tumour biomarkers and HF outcomes.

METHODS

In 2,079 patients of BIOSTAT-CHF cohort, we measured six established tumour biomarkers: CA125, CA15-3, CA19-9, CEA, CYFRA 21-1 and AFP.

RESULTS

During a median follow-up of 21 months, 555 (27%) patients reached the primary end-point of all-cause mortality. CA125, CYFRA 21-1, CEA and CA19-9 levels were positively correlated with NT-proBNP quartiles (all P < 0.001, P for trend < 0.001) and were, respectively, associated with a hazard ratio of 1.17 (95% CI 1.12-1.23; P < 0.0001), 1.45 (95% CI 1.30-1.61; P < 0.0001), 1.19 (95% CI 1.09-1.30; P = 0.006) and 1.10 (95% CI 1.05-1.16; P < 0.001) for all-cause mortality after correction for BIOSTAT risk model (age, BUN, NT-proBNP, haemoglobin and beta blocker). All tumour biomarkers (except AFP) had significant associations with secondary end-points (composite of all-cause mortality and HF hospitalization, HF hospitalization, cardiovascular (CV) mortality and non-CV mortality). ROC curves showed the AUC of CYFRA 21-1 (0.64) had a noninferior AUC compared with NT-proBNP (0.68) for all-cause mortality (P = 0.08). A combination of CYFRA 21-1 and NT-proBNP (AUC = 0.71) improved the predictive value of the model for all-cause mortality (P = 0.0002 compared with NT-proBNP).

CONCLUSIONS

Several established tumour biomarkers showed independent associations with indices of severity of HF and independent prognostic value for HF outcomes. This demonstrates that pathophysiological pathways sensed by these tumour biomarkers are also dysregulated in HF.