Serum & Tissue Metabolite-based Prediction of Sentinel Lymph Node

Status Recruiting

Clinical Trial Summary

Breast cancer is a malignant tumor with the highest morbidity and mortality among women worldwide. Accurate staging of axillary lymph nodes is critical for metastatic assessment and decisions regarding treatment modalities in breast cancer patient. Among patients who underwent sentinel lymph node biopsy, about 70 % of the patients had negative pathological results and in other words, these 70 % of the patients received unnecessary surgery. At present, imaging and pathological diagnosis is the main measure of lymph node metastasis in breast cancer. However, limitations remained. Artificial intelligence, including deep learning and machine learning algorithms, has emerged as a possible technique, which can make a more accuracy prediction through machine-based collection, learning and processing of previous information, especially in radiology and pathology-based diagnosis. With the intensification of the concept of precision medicine and the development of non-invasive technology, the investigators intend to use the artificial intelligence technology to develop a serum and tissue-based predictive model for sentinel lymph node metastasis diagnosis combined with imaging and pathological information, providing specific, efficient and non-invasive biological indicators for the monitoring and early intervention of lymph node metastasis in patient with breast cancer. Therefore, the investigators retrospectively include serum samples from early breast cancer patients undergoing sentinel lymph node biopsy, including a discovery cohort and a modeling cohort. Metabolites were detected and screened in the discovery cohort and then as the target metabolites for targeted detection in the modeling cohort. Combined with preoperative imaging and pathological information, a prediction model of breast cancer sentinel lymph node metastasis based on serum metabolites would be established. Subsequently, multi-center breast cancer patients will prospectively be included to verify the accuracy and stability of the model.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT06001528
Study type	Observational
Source	Shantou Central Hospital
Contact	Xiaorong Lin, Dr.
Phone	13790891600
Email	clarelynn_lin@163.com
Status	Recruiting
Phase
Start date	January 1, 2021
Completion date	August 31, 2026

View Details

See also
Status	Clinical Trial	Phase
Recruiting	`NCT04681911` - Inetetamab Combined With Pyrotinib and Chemotherapy in the Treatment of HER2 Positive Metastatic Breast Cancer	Phase 2
Completed	`NCT04890327` - Web-based Family History Tool	N/A
Terminated	`NCT04066790` - Pyrotinib or Trastuzumab Plus Nab-paclitaxel as Neoadjuvant Therapy in HER2-positive Breast Cancer	Phase 2
Completed	`NCT03591848` - Pilot Study of a Web-based Decision Aid for Young Women With Breast Cancer, During the Proposal for Preservation of Fertility	N/A
Recruiting	`NCT03954197` - Evaluation of Priming Before in Vitro Maturation for Fertility Preservation in Breast Cancer Patients	N/A
Terminated	`NCT02202746` - A Study to Assess the Safety and Efficacy of the VEGFR-FGFR-PDGFR Inhibitor, Lucitanib, Given to Patients With Metastatic Breast Cancer	Phase 2
Active, not recruiting	`NCT01472094` - The Hurria Older PatiEnts (HOPE) With Breast Cancer Study
Withdrawn	`NCT06057636` - Hypnosis for Pain in Black Women With Advanced Breast Cancer: A Feasibility Study	N/A
Completed	`NCT06049446` - Combining CEM and Magnetic Seed Localization of Non-Palpable Breast Tumors
Recruiting	`NCT05560334` - A Single-Arm, Open, Exploratory Clinical Study of Pemigatinib in the Treatment of HER2-negative Advanced Breast Cancer Patients With FGFR Alterations	Phase 2
Active, not recruiting	`NCT05501769` - ARV-471 in Combination With Everolimus for the Treatment of Advanced or Metastatic ER+, HER2- Breast Cancer	Phase 1
Recruiting	`NCT04631835` - Phase I Study of the HS-10352 in Patients With Advanced Breast Cancer	Phase 1
Completed	`NCT04307407` - Exercise in Breast Cancer Survivors	N/A
Recruiting	`NCT03544762` - Correlation of 16α-[18F]Fluoro-17β-estradiol PET Imaging With ESR1 Mutation	Phase 3
Terminated	`NCT02482389` - Study of Preoperative Boost Radiotherapy	N/A
Enrolling by invitation	`NCT00068003` - Harvesting Cells for Experimental Cancer Treatments
Completed	`NCT00226967` - Stress, Diurnal Cortisol, and Breast Cancer Survival
Recruiting	`NCT06006390` - CEA Targeting Chimeric Antigen Receptor T Lymphocytes (CAR-T) in the Treatment of CEA Positive Advanced Solid Tumors	Phase 1/Phase 2
Recruiting	`NCT06037954` - A Study of Mental Health Care in People With Cancer	N/A
Recruiting	`NCT06019325` - Rhomboid Intercostal Plane Block on Chronic Pain Incidence and Acute Pain Scores After Mastectomy	N/A

Clinical trials are conducted in a series of steps, called phases - each phase is designed to answer a separate research question.

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.

Serum and Tissue Metabolite-based Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

Clinical Trial Summary

Clinical Trial Description

Study Design

Related Conditions & MeSH terms