Real-world Study on Comprehensive Treatment of Esophageal Cancer Based on Precision Radiotherapy

NCT ID: NCT05543057

Last Updated: 2022-09-16

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

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

RECRUITING

Total Enrollment

150 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-01-01

Study Completion Date

2026-01-01

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Radiotherapy is one of the main treatments for locally advanced esophageal carcinoma (EC). The accuracy of the existing imaging methods in diagnosing and predicting therapeutic efficacy is disappointing, which increases the difficulty in clinical decision-making. In this study, based on a continuous cohort of EC treated with radiotherapy, the clinical and pathological factors of the patients are used to classify them into the appropriate therapeutic group. By multiple liquid biopsy technologies, combining with radiomics, we intend to construct prediction models of prognosis, therapeutic effect and toxicity. The aim of this RWS is to provide appropriate individualized regimen, further optimize the treatment mode based on precision radiotherapy and improve the outcome and quality of life of EC patients.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Radiotherapy is one of the main treatments for locally advanced esophageal squamous cell carcinoma (ESCC). The guidelines recommend neoadjuvant concurrent chemoradiotherapy plus surgery for resectable or potentially resectable patients; for unresectable patients, definitive chemoradiotherapy is the standard treatment. However, due to the complexity of the biological behavior of esophageal cancer (EC) and individual differences, fully complying with guideline recommendations in clinical practice is difficult and idealized. The results of prospective clinical trials are difficult to meet the demand of clinical diagnosis and treatment, thus, carrying out high-quality real-world study (RWS) is necessary.

Three-dimensional conformal radiotherapy (3DCRT) for unresectable EC yields 5-year OS rates of 34%-45.6%, which is an improvement over the rates reported in the RTOG 85-01 and 94-05 studies. Even so, there is still room for improvement of local control rate and overall survival. The accuracy of the existing imaging methods \[computed tomography (CT), magnetic resonance imaging (MRI), endoscopic ultrasonography (EUS), endoscopic ultrasonography (EUS), as well as positron-emission tomography (PET)-CT, etc.\] in diagnosing and predicting therapeutic efficacy is disappointing, which increases the difficulty in clinical decision-making. It is worthy to investigate an appropriate individualized radiation regimen based on different treatment sensitivity.

In this study, based on a continuous cohort of EC treated with radiotherapy, the clinical and pathological factors of the patients are used to classify them into the appropriate therapeutic group. Collect the blood and saliva samples before, during and after radiotherapy; the remaining diagnostic biopsy tissue samples. By using multiple liquid biopsy technologies \[microbial flora, circulating tumor DNA (ctDNA), genome, RNA, and immunophenotype, ect.\], combining with radiomics, construct prediction models of prognosis, therapeutic effect and toxicity. The aim of this RWS is to provide appropriate individualized regimen, further optimize the treatment mode based on precision radiotherapy and improve the outcome and quality of life of EC patients.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Esophageal Cancer

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

3DCRT

Three-dimensional conformal radiotherapy (3DCRT)

Intervention Type RADIATION

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Pathology proved esophageal cancer
* ECOG PS ≤3
* Signed Informed consent

Exclusion Criteria

* Pregnant and lactating women
* Others that researchers consider inappropriate
Minimum Eligible Age

18 Years

Maximum Eligible Age

90 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Zefen Xiao

UNKNOWN

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Zefen Xiao

Professor

Responsibility Role SPONSOR_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC)

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

Review the countries where the study has at least one active or historical site.

China

Facility Contacts

Find local site contact details for specific facilities participating in the trial.

Zefen Xiao, MD

Role: primary

+86-13621018159

Wenyang Liu, MD

Role: backup

+86-13810753633

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

22/036-3237

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.