Diagnosis Value of SEMA4C in Breast Cancer

October 18, 2022 updated by: Qinglei Gao, Tongji Hospital
Breast cancer remains the most common cancer in women worldwide. Early diagnosis can greatly improve the prognosis. To date, imaging examination is still the most important diagnostic and grading tool for breast cancer. Semaphorin4C (SEMA4C) has previously been identified as a highly expressed protein by breast cancer-associated lymphatic endothelial cells (LECs). The study is undertaken to evaluate the diagnostic efficiency of SEMA4C.

Study Overview

Detailed Description

Breast cancer remains the most common cancer in women worldwide, with approximately 1.68 million new cases, and 0.52 million deaths, annually. Meanwhile the incidence of breast cancer continues to increase. Early diagnosis and access to optimum treatment are crucial to reduce mortality associated with breast cancer. Currently, mammography and breast ultrasonography are essential for the detection and diagnosis of disease, and breast magnetic resonance imaging is the choice to estimate the extent of disease and guide appropriate treatment. However, there is no robust biomarkers for early detection of breast cancer.

Semaphorin4C (SEMA4C) has been previously identified as a highly expressed protein by breast cancer-associated lymphatic endothelial cells (LECs) using in situ laser capture microdissection of lymphatic vessels, followed by cDNA microarray analysis. Moreover, membrane-bound SEMA4C is cleaved by matrix metalloproteinase (MMPs) to release a soluble form of this protein. Therefore, this prospective project aims to assess the early diagnostic value of SEMA4C as a biomarker for breast cancer.

Study Type

Observational

Enrollment (Anticipated)

2300

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 80 years (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Non-Probability Sample

Study Population

Participants including patients with benign breast tumors and patients with breast cancer. All cases were confirmed histopathologically according to the WHO Classification of Tumors.

Description

Inclusion Criteria:

  • Receiving no treatment before diagnosis
  • Establishing Diagnosis according to biopsy or surgery

Exclusion Criteria:

  • Patients who are not mentally capable of giving written informed consent
  • Clinical data missing
  • Serum samples doesn't qualified
  • Patients with a diagnosis of other severe acute or chronic medical conditions that may interfere with the interpretation of the study results

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Breast cancer group
Patients who have histologically confirmed new diagnosis of breast cancer are recruited.
All the serum samples are collected before any treatments and will be tested in single center in order to decrease bias. Serum SEMA4C levels were measured using a double antibody sandwich ELISA method using in-house SEMA4C detection kits.
Benign breast tumor group
Patients who have histologically confirmed new diagnosis of benign breast tumors are recruited.
All the serum samples are collected before any treatments and will be tested in single center in order to decrease bias. Serum SEMA4C levels were measured using a double antibody sandwich ELISA method using in-house SEMA4C detection kits.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic potential of SEMA4C as a biomarker for breast cancer
Time Frame: At the time of inclusion
Analyzing the predictive value of SEMA4C in the diagnosis of breast cancer.
At the time of inclusion

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Serum SEMA4C, Mammography, breast US and MRI in comparison and combination to distinguish breast cancer from benign breast tumor
Time Frame: At the time of inclusion
Compare and combine the diagnostic performances of Serum SEMA4C, traditional mammography, ultrasonography, and contrast-enhanced MR imaging in the assessment of breast cancer
At the time of inclusion

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ANTICIPATED)

September 1, 2023

Primary Completion (ANTICIPATED)

September 1, 2023

Study Completion (ANTICIPATED)

September 1, 2024

Study Registration Dates

First Submitted

September 3, 2018

First Submitted That Met QC Criteria

September 5, 2018

First Posted (ACTUAL)

September 7, 2018

Study Record Updates

Last Update Posted (ACTUAL)

October 20, 2022

Last Update Submitted That Met QC Criteria

October 18, 2022

Last Verified

October 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • 2018-TJ-BCD

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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