Prognostic role of serum carbohydrate antigen 19-9 levels in patients with resectable hepatocellular carcinoma

The rare circulating tumor microemboli as a biomarker contributes to predicting early colorectal cancer recurrences after medical treatment

Early prognosis of cancer recurrence remains difficult partially due to insufficient and ineffective screening biomarkers or regimes. This study evaluated the rare circulating tumor microemboli (CTM) from liquid biopsy individually and together with circulating tumor cells (CTCs) and serum CEA/CA19-9 in a panel, on early prediction of colorectal cancer (CRC) recurrence. Stained CTCs/CTM were detected by a microfluidic chip-based automatic rare-cell imaging platform. ROC, AUC, Kaplan-Meier survival, and Cox proportional hazard models regarding 4 selected biomarkers were analyzed. The relative risk, odds ratio, predictive accuracy, and positive/negative predictive value of biomarkers individually and in combination, to predict CRC recurrence were assessed and preliminarily validated. The EpCAM+Hochest+CD45- CTCs/CTM could be found in all cancer stages, where more recurrences were observed in late-stage cases. Significant correlations between CTCs/CTM with metastatic stages and clinical treatment were illustrated. CA19-9 and CTM could be seen as independent risk factors in patient survivals, while stratified patients by grouped biomarkers on the Kaplan-Meier analyses presented more significant differences in predicting CRC recurrences. By monitoring the panel of selected biomarkers, disease progressions of 4 CRC patients during follow-up visits after first treatments within 3 years were predicted successfully. This study unveiled the value of rare CTM on clinical studies and a panel of selected biomarkers on predicting CRC recurrences in patients at the early time after medical treatment, in which the CTM and serum CA19-9 could be applied in clinical surveillance and CRC management to improve the accuracy.

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

BACKGROUND

Precision oncology has the potential to leverage clinical and genomic data in advancing disease prevention, diagnosis, and treatment. A key research area focuses on the early detection of primary cancers and potential prediction of cancers of unknown primary in order to facilitate optimal treatment decisions.

OBJECTIVE

This study presents a methodology to harmonize phenotypic and genetic data features to classify primary cancer types and predict cancers of unknown primaries.

METHODS

We extracted genetic data elements from oncology genetic reports of 1011 patients with cancer and their corresponding phenotypical data from Mayo Clinic's electronic health records. We modeled both genetic and electronic health record data with HL7 Fast Healthcare Interoperability Resources. The semantic web Resource Description Framework was employed to generate the network-based data representation (ie, patient-phenotypic-genetic network). Based on the Resource Description Framework data graph, Node2vec graph-embedding algorithm was applied to generate features. Multiple machine learning and deep learning backbone models were compared for cancer prediction performance.

RESULTS

With 6 machine learning tasks designed in the experiment, we demonstrated the proposed method achieved favorable results in classifying primary cancer types (area under the receiver operating characteristic curve [AUROC] 96.56% for all 9 cancer predictions on average based on the cross-validation) and predicting unknown primaries (AUROC 80.77% for all 8 cancer predictions on average for real-patient validation). To demonstrate the interpretability, 17 phenotypic and genetic features that contributed the most to the prediction of each cancer were identified and validated based on a literature review.

CONCLUSIONS

Accurate prediction of cancer types can be achieved with existing electronic health record data with satisfactory precision. The integration of genetic reports improves prediction, illustrating the translational values of incorporating genetic tests early at the diagnosis stage for patients with cancer.

CalliSpheres Drug-Eluting Bead Transcatheter Arterial Chemoembolization Presents With Better Efficacy and Equal Safety Compared to Conventional TACE in Treating Patients With Hepatocellular Carcinoma

The aim of this study was to compare the treatment response, survival, liver function, and adverse event incidence of drug-eluting bead transcatheter arterial chemoembolization using CalliSpheres microspheres with conventional transcatheter arterial chemoembolization in patients with hepatocellular carcinoma. Seventy-three patients with hepatocellular carcinoma who received drug-eluting bead transcatheter arterial chemoembolization (using CalliSpheres microspheres) or conventional transcatheter arterial chemoembolization treatment were consecutively enrolled. Treatment response was assessed by modified Response Evaluation Criteria in Solid Tumors at month 1/month 3/month 6; posttreatment, liver function indexes, and adverse events were recorded. Progression-free survival and overall survival were also calculated. Objective response rate of patients at months 1, 3, and 6, disease control rate of patients and objective response rate of nodules at month 3 were increased in drug-eluting bead transcatheter arterial chemoembolization group compared with conventional transcatheter arterial chemoembolization group. In addition, drug-eluting bead transcatheter arterial chemoembolization using CalliSpheres microspheres was an independent factor for predicting better objective response rate at month 1. Patients in drug-eluting bead transcatheter arterial chemoembolization group achieved longer progression-free survival and similar overall survival compared to those in conventional transcatheter arterial chemoembolization group; Cox proportional hazards regression model analyses revealed that drug-eluting bead transcatheter arterial chemoembolization using CalliSpheres microspheres was associated with better progression-free survival while it did not affect overall survival. Meanwhile, most of the occurrences of abnormal liver function indexes were similar between 2 groups, whereas drug-eluting bead transcatheter arterial chemoembolization group had a higher percentage of patients with total bile acid ≥2 upper limit of normal compared to conventional transcatheter arterial chemoembolization group at month 1. Moreover, the adverse event incidences between 2 groups were similar. In conclusion, drug-eluting bead transcatheter arterial chemoembolization using CalliSpheres microspheres achieves better treatment response and progression-free survival while equal safety compared to conventional transcatheter arterial chemoembolization in patients with hepatocellular carcinoma.

Carbohydrate Antigen 19-9 Increases the Predictive Efficiency of a-Fetoprotein for Prognosis of Resected Hepatocellular Carcinoma

Serum α-fetoprotein (AFP) is a classical biomarker for both diagnosis and prognosis of hepatocellular carcinoma (HCC). However, its predictive efficiency for prognosis remains unsatisfactory. This study explores whether integrating AFP and carbohydrate antigen (CA) 19-9/carcinoembryonic antigen (CEA) increase its prognostic efficiency in HCC. A total of 67 HCC patients with complete record of AFP, CA19-9, and CEA, who underwent radical hepatectomy, were included. The sole and combined evaluations for prognostic significance of the three markers were performed. In the first, it was found by one-factor analysis that AFP was a univariate prognostic indicator for disease-free survival, but not overall survival, whereas CEA and CA19-9 were not statistically significant, although the latter was of marginally predictive significance for disease-free survival. Subsequently, it was revealed that combined evaluation of AFP and CA19-9, rather than AFP and CEA, distinguished overall and disease-free survival more effectively, compared with single ones. However, this combination was not significant in multivariate Cox regression analysis, thus needing further validation, especially in large-scale prospective investigations. The addition of vascular invasion to AFP/CA19-9 combination might provide enhanced predictive power for disease-free survival. Collectively, these results preliminarily suggest that CA19-9 increases the predictive efficiency of AFP for prognosis of HCC after resection.

Preoperative Carbohydrate Antigen 19-9: Its Neglected Role in Alpha-Fetoprotein-Negative Hepatocellular Carcinoma Patients

PURPOSE

The study aimed to investigate the prognostic role of the preoperative carbohydrate antigen 19-9 (CA19-9) level in alpha-fetoprotein (AFP)-negative (AFP < 25 ng/ml) hepatocellular carcinoma (HCC) patients.

METHODS

From December 2004 to December 2013, 750 patients diagnosed with AFP-negative HCC following curative resection were enrolled. Both univariate and multivariate analyses were performed to clarify the prognostic factors for overall survival (OS) and disease-free survival (DFS).

RESULTS

The optimal cutoff point for preoperative CA19-9 was 32.6 U/ml, and the value of the area under the curve was 0.640. The 1-, 3-, and 5-year OS rates were 88.4, 72.2, and 57.0%, respectively, for the CA19-9 > 32.6 U/ml group and 97.0, 83.3, and 79.9%, respectively, for the CA19-9 ≤ 32.6 U/ml group (P < 0.001). The 1-, 3-, and 5-year DFS rates were 71.8, 47.7, and 34.8%, respectively, for the CA19-9 > 32.6 U/ml group and 80.8, 63.6, and 55.5%, respectively, for the CA19-9 ≤ 32.6 U/ml group (P < 0.001). The multivariate analysis showed that CA19-9 > 32.6 U/ml was one of the most significant unfavorable predictors of OS and DFS (P < 0.001 for both).

CONCLUSIONS

Preoperative CA19-9 > 32.6 U/ml is a predictor of dismal prognosis and can be employed as a prognostic marker for patient selection in AFP-negative HCC management.

Lateral flow assay for carbohydrate antigen 19-9 in whole blood by using magnetized carbon nanotubes

The authors describe a rapid, low-cost and sensitive approach for the determination of carbohydrate antigen 19-9 (CA 19-9) in whole blood by using magnetized carbon nanotube (MCNT) and lateral flow strip biosensor (LFSB). MCNTs were synthesized by depositing magnetite (Fe₃O₄) nanoparticles on multiwalled carbon nanotube (CNT) via co-precipitation of ferric and ferrous ions within a dispersion of shortened multiwalled CNTs. Antibody against CA 19-9 (Ab₁) was covalently immobilized on the MCNTs and were used to capture CA 19-9 in blood. After magnetic separation, the formed MCNT-Ab₁-CA 19-9 complexes are applied to the LFSB, in which a capture antibody (Ab₂) and a secondary antibody (Ab₃) are immobilized on the test zone and control zone of the LFSB, respectively. The captured MCNTs on the test zone and control zone are producing characteristic brown bands, and this enables CA 19-9 to be visually detected. Quantitation is accomplished by reading the intensities of the bands with a portable strip reader. Under optimized conditions, the assay has a detection limit as low as 30 U⋅mL^-1 of CA19-9 in blood. This is below the cutoff value (37 U mL^-1) of CA 19-9. The assay duration for blood samples is 35 min. In our perception, the assay represents a rapid and low-cost tool for rapid determination of CA19-9 in blood that holds promise for clinical applications, particularly in limited resource settings.

The Role of CA19-9 in Predicting Tumour Resectability in Carcinoma Head of Pancreas

INTRODUCTION

Carbohydrate antigen 19-9 (CA 19-9) is a tumour associated antigen. Blood levels may be elevated in benign as well as malignant conditions. Its sensitivity (70-90%) and specificity (68-91%) are inadequate for accurate diagnosis. It can be used to predict the extent of disease and outcome after resection.

AIM

The aim of the present study was to assess the role of CA 19-9 in predicting the resectability of the tumour in the head of pancreas.

MATERIALS AND METHODS

This was a prospective study which included 30 patients and study period was from May 2012 to October 2014. Data collected from all patients with carcinoma of the head of pancreas on the basis of contrast enhanced computed tomography/Magnetic resonance cholangiopancreaticography. CA 19-9 levels were measured and recorded. Patients who were medically unfit for surgery or those who didn't warrant palliative surgery were excluded from the study. During surgery the operative findings on operability were documented and tabulated against corresponding CA 19-9 levels.

RESULTS

Of the 30 patients who were operated, 13(43.3%) patients had operable tumours and underwent Whipple's procedure and 17(56.7%) underwent palliative bypass procedure. Of the 30, CA 19-9 levels were elevated in 9(30.0%) and were normal in 21(70.0%). Among 13(43.3%) who had operable tumours, CA 19-9 was elevated in 4(13.3) and was normal in 9(30.0%). Of the 17(56.7%) who had inoperable tumours CA 19-9 was elevated in 5(16.7%) and was normal in 12(40.0%). Among the 17 who had inoperable tumours, 8(47.1%) were diagnosed preoperatively and of them CA 19-9 levels were raised in 2(11.8%) and normal in 6(35.3%). In the group of 9(52.9%) who had inoperable tumours diagnosed intraoperatively, CA 19-9 was raised in 3(17.6%) of them and was normal in the remaining 6(35.3%) of them.

CONCLUSION

Based on the study findings, it can be stated that there is no significant correlation with resectability of pancreatic adenocarcinoma and CA 19-9 and it doesn't predict vascular involvement and liver metastasis.

Sensitive electrochemical immunoassay with signal enhancement based on nanogold-encapsulated poly(amidoamine) dendrimer-stimulated hydrogen evolution reaction

A new electrochemical immunosensor with signal enhancement was designed for sensitive detection of disease-related protein (human carbohydrate antigen 19-9, CA 19-9 used in this case).