- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05010863
Gastric Cancer Marker Detection and Its Kit Development (GCMDKD)
Study Overview
Detailed Description
1 Preliminary screening of early gastric cancer markers and antibody verification
(1) Recruitment and sample preparation of patients and healthy people: This project requires four batches of subjects, three batches of healthy people, early gastric cancer and advanced gastric cancer groups, with an average of 30 cases in each group. The other batch (the second batch) is healthy people and 30 cases of chronic atrophic gastritis, early gastric cancer and 30 cases of chronic atrophic gastritis. There were 100 cases in each of the advanced gastric cancer group, and 20 cases in each of liver cancer, colorectal cancer, and breast cancer. Serum and plasma samples obtained from subjects are used to screen potential gastric cancer tumor markers, verify the practicability of established gastric cancer tumor marker diagnostic models and test kits.
- Recruitment of gastric cancer patients: 30 cases of early gastric cancer patients (T1, T2) and advanced gastric cancer patients (T3, T4) are selected respectively. The staging of gastric cancer is based on the eighth edition of UICC (International Union Against Cancer) TNM staging. Subjects were screened according to the requirements of the informed consent form.
- Recruitment of healthy people: 30 volunteers without underlying diseases are selected as healthy control group. Subjects were screened according to the requirements of the informed consent form.
- Sample preparation: intravenous collection to obtain whole blood samples of patients and healthy controls. The sample requirement for each subject is 600ul of serum and plasma.
(2) Antibody chip screening for potential tumor markers of gastric cancer for the first time In order to screen for potential protein markers of gastric cancer, Raybiotech's high-throughput quantitative antibody chip (AAH-BLG-2000) was used to measure 640 in the first batch of subjects (early gastric cancer, advanced gastric cancer, and healthy controls each 30). Kind of human protein. Preliminarily screen out differential proteins, conduct bioinformatics analysis, and finally screen differentially expressed proteins relevant to the research.
2Customized antibody chip to verify gastric cancer tumor markers In order to further verify the candidate tumor markers for the diagnosis of gastric cancer, the differential proteins screened in the previous stage were customized for antibody chips. Use subject serum samples (second batch) for potential biomarker verification. According to the test results, the poorly specific proteins are discarded, and the more specific proteins are retained.
3. Establishment of diagnostic model Use regression analysis to combine and compare multiple differential proteins, perform quantitative analysis, establish a standard curve, establish a diagnostic model for highly specific differential proteins, and further measure the practicability of the highly specific differential protein diagnostic model.
4 Kit development Monoclonal antibodies were produced as capture antibodies for various high-specific tumor markers, and finally a gastric cancer diagnosis kit was established and promoted in clinical practice.
Establishment and performance measurement of gastric cancer diagnostic kit.
- Establish gastric cancer diagnostic kits, quality control reference materials and formulate relevant standards on the basis of the above research results.
- Precision testing: Dilute the self-made quality control reference materials to 3 concentrations of high, medium, and low, each with 3 replicate holes, repeat the test 10 times, and calculate the mean, standard deviation, and test value of each quality control reference product. Coefficient of Variation (CV) value.
- Sensitivity detection: Take the zero reference standard (specific difference protein) as the sample, and substitute the average value of the fluorescence value measured 20 times plus 2 times the standard deviation into the standard curve equation to calculate the minimum detection volume.
- Stability test: Divide the self-made kits into two groups and place them in a 4℃ freezer for 6 months and 37℃ for 7 days. The physical appearance of the kit, the linearity of the dose-response curve, accuracy, sensitivity, and minimum detection volume And other indicators are measured, and the specific detection method is the same as the above steps (2) and (3).
- Comparison with other gastric cancer detection methods: use self-prepared detection kits to detect 30 cases of early gastric cancer serum samples, 30 cases of advanced gastric cancer serum samples, and 30 healthy human serum samples, and analyze the test results.
- Promotion and optimization of the kit. Random sampling is performed among patients using this kit to observe the diagnosis rate of early clinical gastric cancer and the corresponding prognosis, and analyze the results of the return visit. According to the results of the return visit, continue to conduct corresponding experiments to optimize the performance of the kit, for example: improve its accuracy, sensitivity, and so on.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Weijian Sun, PhD
- Phone Number: 13857772361
- Email: fame198288@126.com
Study Locations
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Zhejiang
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Wenzhou, Zhejiang, China, 325000
- Recruiting
- No. 109, Xueyuan West Road, Lucheng District, Wenzhou City,Zhejiang provincece
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Contact:
- weijian Sun, PhD
- Phone Number: 85676870 13857772361
- Email: fame198288@126.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
patient
- Age is greater than or equal to 18 years old (including 18 years old);
- Patients who are diagnosed with cancer after pathological diagnosis;
- Can provide enough tissue samples;
- Have not received anti-tumor treatment in the past;
- Comply with the principle of informed consent and sign the informed consent form.
healthy person:
- Age is greater than or equal to 18 years old (including 18 years old);
- No underlying disease;
- Can provide enough tissue samples;
- Comply with the principle of informed consent and sign the informed consent form.
Exclusion Criteria:
- The tumor foci cannot be clearly derived from a specific tumor type;
- Those who have a history of other tumors, autoimmune diseases and allergies;
- Previously received anti-tumor treatments such as surgery, chemotherapy, radiotherapy, molecular targeted therapy, immunotherapy, biological therapy or Chinese medicines with anti-cancer and anti-tumor effects in the instructions;
- Participated in any clinical trial within 90 days before the experiment;
- Received major surgery within 90 days before the experiment;
- Received bone marrow transplantation 90 days before the experiment;
- Subjects who may not be able to complete the study due to other reasons or who are determined by the investigator to be unsuitable to participate in this study.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Patients with early gastric cancer
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The subject will be drawn a 5ml blood sample
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Patients with advanced gastric cancer
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The subject will be drawn a 5ml blood sample
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healthy person
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The subject will be drawn a 5ml blood sample
|
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Patients with colorectal cancer
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The subject will be drawn a 5ml blood sample
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Liver cancer patients
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The subject will be drawn a 5ml blood sample
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Breast cancer patient
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The subject will be drawn a 5ml blood sample
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Patients with atrophic gastritis
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The subject will be drawn a 5ml blood sample
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Getting serum
Time Frame: 2023-12-30
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Obtain subject serum
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2023-12-30
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Collaborators and Investigators
Publications and helpful links
General Publications
- Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019 Jan;69(1):7-34. doi: 10.3322/caac.21551. Epub 2019 Jan 8.
- Kim Y, Byeon SJ, Hur J, Lee K, Kim D, Ahn JH, Lee SH, You WK, Kim ST, Park SH, Kang WK, Kim KM, Lee J. High delta-like ligand 4 expression correlates with a poor clinical outcome in gastric cancer. J Cancer. 2019 Jun 2;10(14):3172-3178. doi: 10.7150/jca.30257. eCollection 2019.
- Chen J, Xu M, Zhang Y, Gao C, Sun P. Effects of a stepwise, local patient-specific early oral feeding schedule after gastric cancer surgery: a single-center retrospective study from China. Sci Rep. 2019 Nov 12;9(1):16539. doi: 10.1038/s41598-019-52629-0.
- Woll E, Thaler J, Keil F, Gruenberger B, Hejna M, Eisterer W, Fridrik MA, Ulmer H, Trommet V, Huemer F, Weiss L, Greil R. Oxaliplatin/Irinotecan/Bevacizumab Followed by Docetaxel/Bevacizumab in Inoperable Locally Advanced or Metastatic Gastric Cancer Patients - AGMT_GASTRIC-3. Anticancer Res. 2017 Oct;37(10):5553-5558. doi: 10.21873/anticanres.11987.
- Petrovic M, Bukumiric Z, Zdravkovic V, Mitrovic S, Atkinson HD, Jurisic V. The prognostic significance of the circulating neuroendocrine markers chromogranin A, pro-gastrin-releasing peptide, and neuron-specific enolase in patients with small-cell lung cancer. Med Oncol. 2014 Feb;31(2):823. doi: 10.1007/s12032-013-0823-1. Epub 2013 Dec 30.
- Tsai MM, Wang CS, Tsai CY, Huang HW, Chi HC, Lin YH, Lu PH, Lin KH. Potential Diagnostic, Prognostic and Therapeutic Targets of MicroRNAs in Human Gastric Cancer. Int J Mol Sci. 2016 Jun 16;17(6):945. doi: 10.3390/ijms17060945.
- Necula L, Matei L, Dragu D, Neagu AI, Mambet C, Nedeianu S, Bleotu C, Diaconu CC, Chivu-Economescu M. Recent advances in gastric cancer early diagnosis. World J Gastroenterol. 2019 May 7;25(17):2029-2044. doi: 10.3748/wjg.v25.i17.2029.
- Shibutani M, Maeda K, Nagahara H, Ohtani H, Sakurai K, Yamazoe A, Kimura K, Toyokawa T, Amano R, Kubo N, Tanaka H, Muguruma K, Ohira M, Hirakawa K. Significance of Markers of Systemic Inflammation for Predicting Survival and Chemotherapeutic Outcomes and Monitoring Tumor Progression in Patients with Unresectable Metastatic Colorectal Cancer. Anticancer Res. 2015 Sep;35(9):5037-46.
- Ning S, Wei W, Li J, Hou B, Zhong J, Xie Y, Liu H, Mo X, Chen J, Zhang L. Clinical significance and diagnostic capacity of serum TK1, CEA, CA 19-9 and CA 72-4 levels in gastric and colorectal cancer patients. J Cancer. 2018 Jan 1;9(3):494-501. doi: 10.7150/jca.21562. eCollection 2018.
- Zhao X, Bian F, Sun L, Cai L, Li L, Zhao Y. Microfluidic Generation of Nanomaterials for Biomedical Applications. Small. 2020 Mar;16(9):e1901943. doi: 10.1002/smll.201901943. Epub 2019 Jul 1.
- Bigbee WL, Gopalakrishnan V, Weissfeld JL, Wilson DO, Dacic S, Lokshin AE, Siegfried JM. A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from high-risk individuals found to be cancer-free by CT screening. J Thorac Oncol. 2012 Apr;7(4):698-708. doi: 10.1097/JTO.0b013e31824ab6b0.
- Bando H, Yoshino T, Shinozaki E, Nishina T, Yamazaki K, Yamaguchi K, Yuki S, Kajiura S, Fujii S, Yamanaka T, Tsuchihara K, Ohtsu A. Simultaneous identification of 36 mutations in KRAS codons 61 and 146, BRAF, NRAS, and PIK3CA in a single reaction by multiplex assay kit. BMC Cancer. 2013 Sep 3;13:405. doi: 10.1186/1471-2407-13-405.
- Hofmann JN, Yu K, Bagni RK, Lan Q, Rothman N, Purdue MP. Intra-individual variability over time in serum cytokine levels among participants in the prostate, lung, colorectal, and ovarian cancer screening Trial. Cytokine. 2011 Nov;56(2):145-8. doi: 10.1016/j.cyto.2011.06.012. Epub 2011 Jul 20.
- Nitsch SM, Pries R, Wollenberg B. Head and neck cancer triggers increased IL-6 production of CD34+ stem cells from human cord blood. In Vivo. 2007 May-Jun;21(3):493-8.
- Zhao Y, Zhao X, Pei X, Hu J, Zhao W, Chen B, Gu Z. Multiplex detection of tumor markers with photonic suspension array. Anal Chim Acta. 2009 Feb 2;633(1):103-8. doi: 10.1016/j.aca.2008.11.035. Epub 2008 Nov 25.
- Pei X, Chen B, Li L, Gao F, Jiang Z. Multiplex tumor marker detection with new chemiluminescent immunoassay based on silica colloidal crystal beads. Analyst. 2010 Jan;135(1):177-81. doi: 10.1039/b912880h. Epub 2009 Nov 13.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- SAHoWMU-CR2021-02-404
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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