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RecruitingNCT06036563Updated May 16, 2024

Prospective Screening and Differentiating Common Cancers Using Peripheral Blood Cell-Free DNA Sequencing

An observational study in Cancer Diagnosis, LungCancer and Gastric Cancer, sponsored by Air Force Military Medical University, China. Recruiting at 8 sites in China. Open to participants aged 20 Years to 80 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-05-16.

Sponsored by Air Force Military Medical University, China · Observational

From the registry’s dates

  • Primary completion was expected by Aug 2025, 1 year 2 months ago, but the record still lists the study as recruiting.
  • Started Sep 2023; still recruiting 3 years 1 month later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
3,200
Ages
20 Years to 80 Years
Sex
All
01

Study summary

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.

02

Conditions studied

  • Cancer Diagnosis
  • LungCancer
  • Gastric Cancer
  • Liver Cancer
  • Colorectal Cancer
  • Esophagus Cancer
  • Breast Cancer
  • Pancreas Cancer

Keywords

  • multicancer screening
  • liquid biopsy
  • cell-free DNA
  • methylation
  • machine learning
03

In context

Pancreatic Neoplasms

3,235 studies on the registry are indexed under Pancreatic Neoplasms; 899 are open to participants now.

This study's planned enrollment of 3,200 is above the median of 200 across 620 observational studies indexed under Pancreatic Neoplasms.

Browse Pancreatic Neoplasms studies →

Lead sponsor

Air Force Military Medical University, China is the lead sponsor of 172 studies on the registry; 36 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
20 Years to 80 Years
Sexes eligible
All
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.

Inclusion criteria

  1. >20 and \< 80 years old.
  2. 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

Exclusion Criteria:

  1. Uncontrolled or active systemic diseases, such as autoimmune diseases, tuberculosis, AIDS, etc.
  2. New onset, recurrence, or exacerbation of various inflammations within 2 weeks before blood collection, or the presence of fever, use of corticosteroids.
  3. New onset or exacerbation of thromboembolic diseases, hemorrhagic diseases, or those who have received allogeneic blood transfusion within 1 month before blood collection.
  4. Any cancer treatment performed within the past 3 years.
  5. Individuals who have undergone organ or bone marrow transplantation.
  6. Participants during pregnancy or lactation.
  7. Individuals with malnutrition, severe mental illness, or genetic diseases.
  8. Other diseases or conditions deemed by the physician as unsuitable for participation in this study.
  9. Individuals who are unable to sign an informed consent form.
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
3,200 participants (estimated)
Target follow-up
1 Year
Patient registry
Yes
Biospecimen retention
Samples with dna

Groups and cohorts

  • 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.

06

What researchers measure

Primary outcomes

  1. diagnostic accuracy

    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.

    Time frame: Immediately after test completion

  2. sensitivity

    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.

    Time frame: Immediately after test completion

  3. specificity

    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.

    Time frame: Immediately after test completion

07

Study locations

5 of 8 sites recruiting
  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
    Guangzhou, Guangdong 510000, China
    • Fengxia Gan, PhD · Contact · 86-18810532592
    • Yaping Yang, MD · Principal investigator
    • Fengxia Gan, PhD · Sub investigator
    • Changzhen Shang, MD · Sub investigator
    Not yet recruiting
  • The First Affiliated Hospital of Guangzhou Medical University
    Guangzhou, Guangdong 510000, China
    • Miao He, MD · Contact · 86-13527822580
    • Wei Wang, MD · Principal investigator
    • Miao He · Sub investigator
    Recruiting
  • First Hospital of China Medical University
    Shenyang, Liaoning 110000, China
    • Liping Sun, PhD · Contact · lpsun@cmu.edu.cn · 86-24-83282153
    • Liping Sun, PhD · Principal investigator
    • Yijun Wu, MM · Sub investigator
    Not yet recruiting
  • People's Hospital of Ningxia Hui Autonomous Region
    Yinchuan, Ningxia 750000, China
    Not yet recruiting
  • First Affiliated Hospital of Air Force Military Medical University
    Xi'an, Shaanxi 710032, China
    • Yanglin Pan, MD · Contact · panyl@fmmu.edu.cn · 13991811225
    • Yanglin Pan, MD · Principal investigator
    • Linan Zhao, MD · Sub investigator
    • Fan Feng, MD · Sub investigator
    • Yuanyuan Lu, MD · Sub investigator
    • Huahong Xie, MD · Sub investigator
    Recruiting
  • Tang-du Hospital
    Xi'an, Shaanxi 710032, China
    • Yunfeng Ni, MD · Contact · niyunfng@fmmu.edu.cn · 86-13772088014
    • Yunfeng Ni, MD · Principal investigator
    • Xiaochen Liu, MM · Sub investigator
    Recruiting
  • Guanxian People's Hospital
    Liaocheng, Shandong 252500, China
    • Xinmeng Yang, BN · Contact · 86-18366490144
    • Bailong Sheng, MM · Principal investigator
    • Xinmeng Yang, BN · Sub investigator
    Recruiting
  • Affiliated Cancer Hospital of Xinjiang Medical University
    Urumqi, China
    • Gang Sun, MD · Contact
    • Yan Wang, MD · Sub investigator
    Recruiting
08

References and documents

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. PubMed 36096847 ↗
  • 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. PubMed 36849097 ↗
  • 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. PubMed 36400018 ↗
  • 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. PubMed 37330052 ↗
  • 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. PubMed 37302583 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 16, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06036563
Lead sponsor
Air Force Military Medical University, China
Collaborators
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Tang-Du Hospital, The First Affiliated Hospital of Guangzhou Medical University, First Hospital of China Medical University, People's Hospital of Ningxia Hui Autonomous Region, Xinjiang Medical University, Guanxian People's Hospital
Responsible party
Yanglin Pan (Professor, Air Force Military Medical University, China) — Principal investigator
First posted
Sep 14, 2023
Start date
Sep 1, 2023
Primary completion
Aug 2025 (estimated)
Completion
Dec 2025 (estimated)
Last update
May 16, 2024

Study contacts

Yanglin Pan, MD
Contact
yanglinpan@hotmail.com
86-13991811225

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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