Neutrophil Extracellular Traps as a Biomarker to Predict Portal Vein Tumor Thrombosis in Patients With Hepatocellular Carcinoma

NCT ID: NCT05040347

Last Updated: 2021-09-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

68 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-08-18

Study Completion Date

2021-02-28

Brief Summary

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The aim of this study was to investigate whether NETs markers can enhance predict portal vein tumor thrombosis in patients with live cirrhosis, so as to establish a novel predictor to guide clinical decision-making.

Detailed Description

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Eighty-six patients with patients treated at the Affiliated Hospital of Qingdao University (China) from September 2020 to January 2021 were recruited for this study, including 14 patients with portal vein tumor thrombosis, 28 patients without portal vein tumor thrombosis and 44 patients without hepatocellular carcinoma. NETs markers (Myeloperoxidase, Neutrophil elastase, Citrate histone H3), and anti-β2 glycoprotein I were detected in plasma using capture ELISA and specific ELISA kits. T-test was performed to analyze whether there was a statistical difference between the two groups, and regression analysis was performed between NETs markers and tissue factor and anti-β2 glycoprotein I to investigate whether there was a correlation. This study without any intervention measures, will not cause harm.

Conditions

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Neutrophil Extracellular Trap Formation Portal Vein Tumor Thrombosis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Study Groups

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PVTT group

The diagnosis of portal vein tumor thrombosis was confirmed by clinical correlation using histologic features taken from liver biopsy as determined by a pathologist,and findings from image studies including ultrasound, computed tomography, and MRI, verified by a radiologist.

test NETs markers

Intervention Type OTHER

NETs markers (Myeloperoxidase, Neutrophil elastase, Citrate histone H3) and anti-β2 glycoprotein I were detected in plasma using capture ELISA and specific ELISA kits.

HCC group

The diagnosis of HCC was confirmed by clinical correlation using histologic features taken from liver biopsy as determined by a pathologist,and findings from image studies including ultrasound, computed tomography, and MRI, verified by a radiologist.

test NETs markers

Intervention Type OTHER

NETs markers (Myeloperoxidase, Neutrophil elastase, Citrate histone H3) and anti-β2 glycoprotein I were detected in plasma using capture ELISA and specific ELISA kits.

control group

The presence of PVTT or HCC was confirmed by medical record review and all the recorded events were confirmed by a radiologist using imaging studies, ultrasound, contrast-enhanced, or MR.

test NETs markers

Intervention Type OTHER

NETs markers (Myeloperoxidase, Neutrophil elastase, Citrate histone H3) and anti-β2 glycoprotein I were detected in plasma using capture ELISA and specific ELISA kits.

Interventions

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test NETs markers

NETs markers (Myeloperoxidase, Neutrophil elastase, Citrate histone H3) and anti-β2 glycoprotein I were detected in plasma using capture ELISA and specific ELISA kits.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

(1) Clinical diagnosis of HCC with liver cirhosis (2) Clinical diagnosis of portal vein tumor thrombosis

Exclusion Criteria

(1) secondary liver malignancy (2)hematologic diseases (3) Bud-Chiah syndrome (4) incomplete data
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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The Affiliated Hospital of Qingdao University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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the Affiliated Hospital of Qingdao University

Qingdao, Shandong, China

Site Status

Countries

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China

Other Identifiers

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QYFYWZLL26511

Identifier Type: -

Identifier Source: org_study_id

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