- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06036563
Prospective Screening and Differentiating Common Cancers Using Peripheral Blood Cell-Free DNA Sequencing
May 15, 2024 updated by: Yanglin Pan, Air Force Military Medical University, China
A Multicenter Prospective Diagnostic Test: Screening and Differentiating Common Cancers (Cancers of Lung, Stomach, Colorectum, Esophagus, Liver, Breast and Pancreas) Based on Peripheral Blood Cell-Free DNA Sequencing
The goal of this observational study is to screen and differentiate common cancers in participants with or without suspicious lesions.
The main question the investigators aim to answer is: Can the developed model, using peripheral blood cell-free DNA sequencing, work well in screening and classifying common cancers especially in the early stages?
Participants will undergo the collection of 15~20ml of blood and 1~2 telephone follow-up calls.
Study Overview
Status
Recruiting
Study Type
Observational
Enrollment (Estimated)
3200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Yanglin Pan, MD
- Phone Number: 86-13991811225
- Email: yanglinpan@hotmail.com
Study Locations
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-
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Urumqi, China
- Recruiting
- Affiliated Cancer Hospital of Xinjiang Medical University
-
Contact:
- Gang Sun, MD
-
Sub-Investigator:
- Yan Wang, MD
-
-
Guangdong
-
Guangzhou, Guangdong, China, 510000
- Recruiting
- The First Affiliated Hospital of Guangzhou Medical University
-
Principal Investigator:
- Wei Wang, MD
-
Contact:
- Miao He, MD
- Phone Number: 86-13527822580
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Sub-Investigator:
- Miao He
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Guangzhou, Guangdong, China, 510000
- Not yet recruiting
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
-
Contact:
- Fengxia Gan, PhD
- Phone Number: 86-18810532592
-
Principal Investigator:
- Yaping Yang, MD
-
Sub-Investigator:
- Fengxia Gan, PhD
-
Sub-Investigator:
- Changzhen Shang, MD
-
-
Liaoning
-
Shenyang, Liaoning, China, 110000
- Not yet recruiting
- First Hospital of China Medical University
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Contact:
- Liping Sun, PhD
- Phone Number: 86-24-83282153
- Email: lpsun@cmu.edu.cn
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Principal Investigator:
- Liping Sun, PhD
-
Sub-Investigator:
- Yijun Wu, MM
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Ningxia
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Yinchuan, Ningxia, China, 750000
- Not yet recruiting
- People's Hospital of Ningxia Hui Autonomous Region
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Contact:
- Shengjuan Hu, MD
- Email: hsj.judy@163.com
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Shaanxi
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Xi'an, Shaanxi, China, 710032
- Recruiting
- First Affiliated Hospital of Air Force Military Medical University
-
Principal Investigator:
- Yanglin Pan, MD
-
Contact:
- Yanglin Pan, MD
- Phone Number: 13991811225
- Email: panyl@fmmu.edu.cn
-
Sub-Investigator:
- Linan Zhao, MD
-
Sub-Investigator:
- Fan Feng, MD
-
Sub-Investigator:
- Yuanyuan Lu, MD
-
Sub-Investigator:
- Huahong Xie, MD
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Xi'an, Shaanxi, China, 710032
- Recruiting
- Tang-Du Hospital
-
Contact:
- Yunfeng Ni, MD
- Phone Number: 86-13772088014
- Email: niyunfng@fmmu.edu.cn
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Principal Investigator:
- Yunfeng Ni, MD
-
Sub-Investigator:
- Xiaochen Liu, MM
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Shandong
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Liaocheng, Shandong, China, 252500
- Recruiting
- Guanxian People's Hospital
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Contact:
- Xinmeng Yang, BN
- Phone Number: 86-18366490144
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Principal Investigator:
- Bailong Sheng, MM
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Sub-Investigator:
- Xinmeng Yang, BN
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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
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
PASS 21.0 is used to calculate the sample size for diagnostic tests.
Based on the specificity and sensitivity of different cancer diagnoses in current and reported studies, the specificity is preset at 98%, and the sensitivity is preset at 75%.
A two-sided test is chosen, with a confidence level of 1-α=0.9, and a confidence interval width of 10%.
The minimum sample size for the diagnostic test is calculated as follows: each type of cancer should have no less than 202 cases in the diagnostic test, and the total number of cancer subjects should not be less than 1414.
The ratio of cancer subjects to non-cancer subjects is set at 1:1.
Considering the possibility of loss to follow-up, unqualified sample quality, and dropout during the study, the sample size for this study is preset at 3200.
Description
Inclusion Criteria:
- >20 and < 80 years old.
- Cancer group: Newly diagnosed cancer patients with a confirmed pathological diagnosis within 90 days before blood collection or within 30 days after blood collection, including lung cancer, esophageal cancer, breast cancer, stomach cancer, colorectal cancer, liver cancer, and pancreatic cancer.
Non-cancer group: Individuals who have not been diagnosed with cancer during routine physical examinations and one-year follow-up.
Exclusion Criteria:
- Uncontrolled or active systemic diseases, such as autoimmune diseases, tuberculosis, AIDS, etc.
- New onset, recurrence, or exacerbation of various inflammations within 2 weeks before blood collection, or the presence of fever, use of corticosteroids.
- New onset or exacerbation of thromboembolic diseases, hemorrhagic diseases, or those who have received allogeneic blood transfusion within 1 month before blood collection.
- Any cancer treatment performed within the past 3 years.
- Individuals who have undergone organ or bone marrow transplantation.
- Participants during pregnancy or lactation.
- Individuals with malnutrition, severe mental illness, or genetic diseases.
- Other diseases or conditions deemed by the physician as unsuitable for participation in this study.
- Individuals who are unable to sign an informed consent form.
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 |
|---|
|
Multicenter prospective cancer-screening cohort
The cohort, including cancer patients and non-cancer patients, will be prospectively enrolled in from different departments and centers.
The focused cancers include lung cancer, gastric cancer, colorectal cancer, liver cancer, esophagus cancer, breast cancer and pancreas cancer.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
diagnostic accuracy
Time Frame: Immediately after test completion
|
This refers to the ability of the test (peripheral blood cell-free DNA sequencing) to correctly classify individuals into the categories of having or not having the disease.
It is a measure of the test's overall effectiveness.
The reference test is histological test for cancers or one-year follow-up for non-cancers.
|
Immediately after test completion
|
|
sensitivity
Time Frame: Immediately after test completion
|
This is the ability of the test (peripheral blood cell-free DNA sequencing) to correctly identify those with the disease.
It is the proportion of true positive results (those with the disease who test positive) to the total number of individuals who actually have the disease.
The reference test is histological test for cancers or one-year follow-up for non-cancers.
|
Immediately after test completion
|
|
specificity
Time Frame: Immediately after test completion
|
This is the ability of the test (peripheral blood cell-free DNA sequencing) to correctly identify those without disease.
It is the proportion of true negative results (those without the disease who test negative) to the total number of individuals who actually do not have the disease.
The reference test is histological test for cancers or one-year follow-up for non-cancers.
|
Immediately after test completion
|
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.
General Publications
- Nikanjam M, Kato S, Kurzrock R. Liquid biopsy: current technology and clinical applications. J Hematol Oncol. 2022 Sep 12;15(1):131. doi: 10.1186/s13045-022-01351-y.
- Gao Q, Lin YP, Li BS, Wang GQ, Dong LQ, Shen BY, Lou WH, Wu WC, Ge D, Zhu QL, Xu Y, Xu JM, Chang WJ, Lan P, Zhou PH, He MJ, Qiao GB, Chuai SK, Zang RY, Shi TY, Tan LJ, Yin J, Zeng Q, Su XF, Wang ZD, Zhao XQ, Nian WQ, Zhang S, Zhou J, Cai SL, Zhang ZH, Fan J. Unintrusive multi-cancer detection by circulating cell-free DNA methylation sequencing (THUNDER): development and independent validation studies. Ann Oncol. 2023 May;34(5):486-495. doi: 10.1016/j.annonc.2023.02.010. Epub 2023 Feb 26.
- Jamshidi A, Liu MC, Klein EA, Venn O, Hubbell E, Beausang JF, Gross S, Melton C, Fields AP, Liu Q, Zhang N, Fung ET, Kurtzman KN, Amini H, Betts C, Civello D, Freese P, Calef R, Davydov K, Fayzullina S, Hou C, Jiang R, Jung B, Tang S, Demas V, Newman J, Sakarya O, Scott E, Shenoy A, Shojaee S, Steffen KK, Nicula V, Chien TC, Bagaria S, Hunkapiller N, Desai M, Dong Z, Richards DA, Yeatman TJ, Cohn AL, Thiel DD, Berry DA, Tummala MK, McIntyre K, Sekeres MA, Bryce A, Aravanis AM, Seiden MV, Swanton C. Evaluation of cell-free DNA approaches for multi-cancer early detection. Cancer Cell. 2022 Dec 12;40(12):1537-1549.e12. doi: 10.1016/j.ccell.2022.10.022. Epub 2022 Nov 17.
- Helzer KT, Sharifi MN, Sperger JM, Shi Y, Annala M, Bootsma ML, Reese SR, Taylor A, Kaufmann KR, Krause HK, Schehr JL, Sethakorn N, Kosoff D, Kyriakopoulos C, Burkard ME, Rydzewski NR, Yu M, Harari PM, Bassetti M, Blitzer G, Floberg J, Sjostrom M, Quigley DA, Dehm SM, Armstrong AJ, Beltran H, McKay RR, Feng FY, O'Regan R, Wisinski KB, Emamekhoo H, Wyatt AW, Lang JM, Zhao SG. Fragmentomic analysis of circulating tumor DNA-targeted cancer panels. Ann Oncol. 2023 Sep;34(9):813-825. doi: 10.1016/j.annonc.2023.06.001. Epub 2023 Jun 16.
- Fan R, Chen L, Zhao S, Yang H, Li Z, Qian Y, Ma H, Liu X, Wang C, Liang X, Bai J, Xie J, Fan X, Xie Q, Hao X, Wang C, Yang S, Gao Y, Bai H, Dou X, Liu J, Wu L, Jiang G, Xia Q, Zheng D, Rao H, Xia J, Shang J, Gao P, Xie D, Yu Y, Yang Y, Gao H, Liu Y, Sun A, Jiang Y, Yu Y, Niu J, Sun J, Wang H, Hou J. Novel, high accuracy models for hepatocellular carcinoma prediction based on longitudinal data and cell-free DNA signatures. J Hepatol. 2023 Oct;79(4):933-944. doi: 10.1016/j.jhep.2023.05.039. Epub 2023 Jun 10.
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 (Actual)
September 1, 2023
Primary Completion (Estimated)
August 1, 2025
Study Completion (Estimated)
December 1, 2025
Study Registration Dates
First Submitted
September 7, 2023
First Submitted That Met QC Criteria
September 7, 2023
First Posted (Actual)
September 14, 2023
Study Record Updates
Last Update Posted (Actual)
May 16, 2024
Last Update Submitted That Met QC Criteria
May 15, 2024
Last Verified
May 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Digestive System Diseases
- Respiratory Tract Diseases
- Neoplasms
- Lung Diseases
- Neoplasms by Site
- Endocrine System Diseases
- Gastrointestinal Neoplasms
- Digestive System Neoplasms
- Gastrointestinal Diseases
- Endocrine Gland Neoplasms
- Respiratory Tract Neoplasms
- Thoracic Neoplasms
- Head and Neck Neoplasms
- Esophageal Diseases
- Pancreatic Diseases
- Lung Neoplasms
- Pancreatic Neoplasms
- Esophageal Neoplasms
Other Study ID Numbers
- KY20232260-F-1
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
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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