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Biomarkers and Functional Imaging in Predicting Response of Esophageal Cancer

Combination of Molecular Biomarkers and Functional Imaging in Predicting Pathologic Response and Clinical Outcomes in Squamous Esophageal Cancer Patients Who Undergo Trimodality Therapy

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03029793
Enrollment
200
Registered
2017-01-24
Start date
2016-05-31
Completion date
2020-01-31
Last updated
2017-01-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Esophageal Cancer

Keywords

Esophageal Cancer, Prediction, Biomarker, MRI-DWI, PET-CT

Brief summary

The purpose of this study is to determine whether combination of molecular and biomarkers with functional imaging can predict pathologic response and clinical outcomes in squamous esophageal cancer patients who undergo trimodality therapy which includes neoadjuvant chemoradiotherapy and surgery

Detailed description

The recommended care for the management of locally advanced esophageal cancers is neoadjuvant chemoradiotherapy (nCRT) followed by esophagectomy based on the NCCN guideline. The rate of pathologic complete response (pCR) after nCRT was around 25-30%, reflecting potential cure of unresectable esophageal cancer receiving CRT. Since esophagectomy might have substantial morbidity and mortality rate, establishing the model for predicting nCRT response and survival will guide neoadjuvant treatment decisions and personalized treatment. Thus surgery might be spared in some patients with complete responses after nCRT, and surgery could be selectively reserved for those with only partial or no response to CRT. However, reported models yield unsatisfactory results due to small sample size and low accuracy, and most cases were adenocarcinoma and few models were used to predict survival. This study will prospectively collect the tissue and blood samples of locally advanced esophageal cancer patients, detect CRT resistance biomarkers, assess the SUV value and texture parameters of 18F-FDG PET-CT as well as ADC values DWI-MRI. The investigators will use advanced statistical tools to establish the model and further validate the model in another group of patients.The investigators will also establish a model for survival prediction. This model might possibly guide the personalized treatment for esophageal squamous cell carcinoma patients in China.

Interventions

OTHERBiomarkers Testing

CRT resistance biomarkers will be detected before CRT, 2-3 weeks after the initiation of CRT, and 4 weeks post-CRT.

OTHERFunctional Imaging analysis

The SUV value and texture parameters of 18F-FDG PET-CT as well as ADC values DWI-MRI will be measures before CRT, 2-3 weeks after the initiation of CRT, and 4 weeks post-CRT.

Sponsors

Air Force Military Medical University, China
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 70 Years
Healthy volunteers
No

Inclusion criteria

1. Patient must have histologic documentation of squamous carcinoma of the esophagus at Xijing Hospital. 2. Newly diagnosed Patients with localized carcinoma of the esophagus who have undergone standard testing and been evaluated by the multidisciplinary team at Xijing Hospital and are considered appropriate candidates for and are willing to undergo chemoradiotherapy followed by surgery at Xijing Hospital. 3. Patient must have undergone a baseline esophageal-gastroduodenoscopy (EGD) with biopsy and endoscopic ultrasonography at Xijing, with tissue available for biomarker analysis. 4. Patient must be willing to undergo this research and must provide written informed consent.

Exclusion criteria

1. Patient is unable or unwilling to comply with the requirements of the protocol. 2. History of prior malignancy within the past 3 years. 3. Patients with second primary tumors. 4. Patients who received endoscopical therapy or induction chemotherapy prior to chemoradiation therapy are excluded. 5. Patient is not a candidate for chemoradiation followed by surgery.

Design outcomes

Primary

MeasureTime frameDescription
Pathologic ResponseApproximately 12 monthsMandard tumor regression grade (TRG) was used for pathology analysis. Primary tumor and positive lymph node regression were classified into five histologic tumor regression grades. Grade 1 (complete regression) showed absence of histologically identifiable residual cancer and fibrosis extending through the different layers of the esophageal wall, with or without granuloma. Grade 2 was characterized by the presence of rare residual cancer cells scattered through the fibrosis. Grade 3 involved an increase in the number of residual cancer cells, but fibrosis still predominated. Grade 4 showed residual cancer outgrowing fibrosis. Grade 5 was characterized by the absence of regressive changes.

Secondary

MeasureTime frame
Overall SurvivalApproximately 4 years

Countries

China

Contacts

Primary ContactLi-Na Zhao, MD, Ph.D
zhaolinazln@outlook.com+86-29-84775425

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026