2018-03-01
2018-10-01
2019-01-01
750
NCT03432624
Fudan University
Fudan University
OBSERVATIONAL
Detection of MicroRNA-25 in the Diagnosis of Pancreatic Cancer
Pancreatic cancer represents the most lethal of the common malignancies, with a 5-year survival rate of less than 5%. For patients who, when are diagnosed of pancreatic cancer, are eligible for potentially curative resection, the mortality and morbidity rates after surgery can improve significantly, but who accounts for no more than 20% of all pancreatic patients. It is therefore an effective way to improve the treatment efficacy for pancreatic cancer by discovering novel detection methods for pancreatic cancer, especially at early stages. MicroRNAs have been proved in recent years as functional disease markers, and circulating microRNA-25 is reported of high pancreatic cancer specificity and can be used as a novel marker for pancreatic cancer. A detection kit "MicroRNA (microRNA-25) Qualitative Detection Kit (Fluorescent PCR Method)" is produced and proven to be effective in assisting the diagnosis of pancreatic cancer through clinical trials held independently in three state-level hospitals in China. To further validate the efficacy of the kit, the researchers in this study intend to compare the sensibility and specificity of microRNA-25 level detection and other diagnosis methods, including detection of conventional tumor markers (CA19-9, CA125, CA50, CEA) and imaging (CT, MRI, PET/CT), both in separation and combined, in the diagnosis of pancreatic cancer.
Pancreatic cancer (mainly pancreatic ductal adenocarcinoma, PDAC) is a disease with extremely poor prognosis, and is often fatal. Surgical resection is the only potentially curative technique for management of PDAC, but only approximately 15% to 20% of patients are candidates for pancreatectomy at the time of diagnosis. For these patients, however, the mortality and morbidity rates after surgery can improve significantly. It is therefore an effective way to improve the treatment efficacy for pancreatic cancer by discovering novel detection methods for pancreatic cancer, especially at early stages. MicroRNAs are a type of non-encoding single-stranded small RNAs with a length of ~22nt. They can regulate the expression of their target mRNAs by inhibiting their translation into proteins. MicroRNAs participate in all physiological and pathological activities, and their abnormal expression profiles are proven to be closely related to the occurrence and development of diseases, including cancer. Recent studies have further proved that not only tissue/cell-line based microRNAs, but circulating microRNAs can be stably detected, and their expression profiles can function as novel markers to be used in the diagnosis and prognosis of diseases. Pancreatic cancer specific microRNA profiles have also been reported, amongst which microRNA-25 is found to be significantly upregulated in pancreatic cancer patients. There are also studies try to improve the efficacy of pancreatic cancer diagnosis by combining detection of microRNA and CA19-9. Further are there studies proving microRNA-25 as a highly potential marker for pancreatic cancer. A detection kit "MicroRNA (microRNA-25) Qualitative Detection Kit (Fluorescent PCR Method)" is produced and proven to be effective in assisting the diagnosis of pancreatic cancer through clinical trials held independently in three state-level hospitals in China. To further validate the efficacy of the kit, the researchers in this study intend to compare the sensibility and specificity of microRNA-25 level detection and other diagnosis methods, including detection of conventional tumor markers (CA19-9, CA125, CA50, CEA) and imaging (CT, MRI, PET/CT), both in separation and combined, with Cohort One in the diagnosis of pancreatic cancer at early stages, to validate the efficacy of microRNA-25 detection in the differentiation of pancreatic cancer and other related diseases, to investigate the relation between microRNA-25 level and pancreatic staging. Patients in Group One will receive a microRNA-25 level detection at the time of diagnosis, along with conventional tumor marker detection and imaging tests, and then be confirmed by pathological study. And, to investigate the efficacy of microRNA-25 level detection in the curative efficacy evaluation and relapse monitoring, patients of Group Two (selected from Group One) will receive a microRNA-25 level detection within one month after surgery and before starting adjuvant therapy, followed by a microRNA-25 level detection every three months along with normal follow-up tests, until relapse is observed with imaging tests.
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 Registration Dates | Results Reporting Dates | Study Record Updates |
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2018-01-24 | N/A | 2018-02-12 |
2018-02-12 | N/A | 2018-02-14 |
2018-02-14 | N/A | 2018-02 |
This section provides details of the study plan, including how the study is designed and what the study is measuring.
Primary Purpose:
N/A
Allocation:
N/A
Interventional Model:
N/A
Masking:
N/A
Arms and Interventions
Participant Group/Arm | Intervention/Treatment |
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: Experiment Subgroup, Group One Experiment Subgroup, Group One consists of pancreatic cancer patients, in which 120 are operable, and 120 are not operable. | DIAGNOSTIC_TEST: Serum MicroRNA-25 detection
|
: Control Subgroup, Group One Control Subgroup, Group One consists of 150 patients, in which 30 are of gallbladder carcinoma, 60 are of biliary tract lower segment carcinoma, 60 are of gastrointestinal carcinoma. | DIAGNOSTIC_TEST: Serum MicroRNA-25 detection
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: Interference Subgroup, Group One Interference Subgroup, Group One consists of 150 patients, in which 60 are of chronic pancreatitis, 90 are of other types of pancreatic tumor, in which 30 are of IPMN (intraductal papillary mucinous neoplasm), 30 are of SPT (solid pseudopapillary tumor of | DIAGNOSTIC_TEST: Serum MicroRNA-25 detection
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: Experiment Subgroup, Group Two Group Two consists of 210 patients selected from Group One, of which the Experiment Subgroup, Group Two consists of the 120 operable pancreatic cancer patients who have had successful surgery. | DIAGNOSTIC_TEST: Serum MicroRNA-25 detection
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: Control Subgroup, Group Two Control Subgroup, Group Two consists of 90 patients of other cancers who have had successful surgery, in which 30 are of gallbladder carcinoma, and 60 are of biliary tract lower segment carcinoma. | DIAGNOSTIC_TEST: Serum MicroRNA-25 detection
|
Primary Outcome Measures | Measure Description | Time Frame |
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Fourfold Table Analysis Indexes | Using the Fourfold Table to analyze the diagnosis value of the tested reagent in comparison with the golden standard (pathological test) from mainly four indexes: Sensitivity, Specificity, Total Coincidence Rate and Youden Index (%). Fourfold Table Tested reagent Golden standard Total Positive (D+) Negative (D-) Positive (T+) a b a+b Negative (T-) c d c+d Total a+c b+d N=a+b+c+d 1. Sensitivity: Se=P(T+|D+)=a/(a+c) 2. Specificity: Sp=P(T-|D-)=d/(b+d) 3. Total Coincidence Rate: TC= (a+d)/N 4. Youden Index: YI=Se+Sp-1 | throughout the trial, average one year |
Secondary Outcome Measures | Measure Description | Time Frame |
---|---|---|
Statistical Analysis Indexes | Statistical Analysis will evaluate the diagnosing efficacy of the tested reagent with two indexes, Kappa Value and AUC: Kappa Value (K Value) Analysis: to investigate the consistency of the tested reagent with golden standard. The definition of K is: K=(p_0-p_e)/(1-p_e ), Where p0 is the relative observed agreement of the tested reagent and/or the comparison reagents (identical to accuracy), and pe is the hypothetical probability of chance agreement, using the observed data to calculate the probabilities of each observer randomly seeing each category. AUC (%): to investigate the diagnosing efficacy of the tested reagent through calculating the AUC (Area Under the ROC Curve). The ROC curve is created by plotting the true positive rate (TPR) against the false positive rate (FPR) at various threshold setting. The TPR is also known as sensitivity. The FPR is also known as the fall-out or probability of false alarm and can be calculated as (1-specificity). | throughout the trial, average one year |
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact Name: Xianjun Yu, doctor Phone Number: +86-21-6417-5590 Email: yuxianjun@fudanpci.org |
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.
Ages Eligible for Study:
ALL
Sexes Eligible for Study:
18 Years
Accepts Healthy Volunteers:
1
This is where you will find people and organizations involved with this study.
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General Publications
No publications available
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