Novel Biomarkers of Hypoxia and Metabolism in Clear Cell Renal Cell Carcinoma

March 7, 2022 updated by: Li Zhang, Qianfoshan Hospital

Renal cell carcinoma (RCC) is one of the common malignant tumors in human beings and originates from the renal tubular epithelium. Clear cell renal cell carcinoma (ccRCC) is the main pathological type of RCC. Due to the lack of reliable biomarkers and clinical symptoms for early diagnosis, imaging findings such as ultrasound and CT are needed. When the patients presented typical symptoms, for example, hematuria, backache, and abdominal mass, some of them are in advanced stages of cancer. About a quarter of patients had metastasis at the first diagnosis, and the 5-year survival rate of these patients was less than 10%. Therefore, the early diagnosis of ccRCC and the prevention of tumor recurrence and metastasis are of great significance.

The preliminary studies suggested that some hypoxia and metabolism-related molecules were highly expressed in ccRCC tumors but low in normal kidney tissues. The molecules included carbonic anhydrase IX/9 (CA IX/CA9), the mitochondrial NADH dehydrogenase [ubiquinone] 1 alpha subcomplex, 4-like 2(NDUFA4L2), angiopoietin-like protein 4(ANGPTL4), hypoxia inducible lipid droplet-associated (HILPDA), and egl-9 family hypoxia-inducible factor 3( EGLN3) et al . Cell-free DNA methylomes were also highly expressed in the blood of ccRCC patients.

In order to further verify the expression status of the above novel biomarkers in ccRCC, the investigators will detect the expressions of these molecules in the tumor and adjacent tissues from 140 ccRCC patients by RT-PCR, Western blot, and immunohistochemistry.140 healthy people were selected as the control group. 30 patients with benign kidney diseases were selected as another control group. Blood and urine samples from the ccRCC group and the control group were collected. The mRNA and protein levels of the above molecules in blood or urine samples were detected by qRT-PCR and ELISA. The correlation between the expression of the above new biomarkers and clinical data, such as early diagnosis, pathological grade, recurrence and metastasis, and survival time, was statistically analyzed. The above molecular changes were dynamically detected before surgery, 1 week, and 6 months after surgery. A receiver-operating characteristic curve (ROC) was used to determine the threshold value of these biomarkers for the diagnosis of renal clear cell carcinoma.

The study is to explore the specific tumor biomarker spectrum for clinical diagnosis, evaluation of recurrence, metastasis, and prognosis of ccRCC, which will be auxiliary early screening and diagnosis, reducing the harm of renal cancer to human health.

Study Overview

Study Type

Observational

Enrollment (Anticipated)

300

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

Study Locations

      • Jinan, China
        • Recruiting
        • The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital
        • Contact:
          • li zhang, Ph.D.

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
  • CHILD

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

The patient was preliminarily diagnosed as renal carcinoma by imaging examination and finally diagnosed as clear cell renal cell carcinoma by pathology. The patient was treated normally and no intervention was required in this study.

There is no need to collect additional samples. A small part of the remaining samples from routine biochemical and pathological tests of patients can be enough to complete the detections required by the study.

Description

Inclusion Criteria:

  • The age and sex of the healthy control group were matched with that of ccRCC patient group. There was no tumor in the kidney or other parts of the body, and no tumor in the blood system. The healthy control group did not have any renal benign diseases, such as kidney stones, diabetic nephropathy, inflammation, and uremia. There are no inflammatory diseases in other parts of the body; the functions of the liver, kidney, and heart were normal.

Exclusion Criteria:

  • The volunteer has tumors in the kidney or other parts of the body, or blood system tumors; The volunteer has benign kidney diseases, such as kidney stones, diabetic nephropathy, nephritis and uremia, etc; The patient has inflammatory disease elsewhere. If the volunteer has any one of the above diseases, it shall be excluded.

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
Intervention / Treatment
the ccRCC patient group
The age and gender of patients are not limited. The patient was preliminarily diagnosed as renal carcinoma by imaging examination and finally diagnosed as clear cell renal cell carcinoma by pathology.
The patient was treated normally and no intervention was required in this study
the healthy control group
The age and sex of the healthy control group were matched with that of ccRCC patient group. There was no tumor in the kidney or other parts of the body, and no tumor in the blood system. The healthy control group did not have any renal benign diseases, such as kidney stones, diabetic nephropathy, inflammation, and uremia. There are no inflammatory diseases in other parts of the body. The functions of the liver, kidney, and heart were normal.
The patient was treated normally and no intervention was required in this study
the benign kidney disease group
The age and sex of this group were matched with that of ccRCC patient group. The patient did not have any tumor but had one of the benign kidney diseases, such as kidney stones, diabetic nephropathy, inflammation, and uremia. The functions of the liver and heart were normal.
The patient was treated normally and no intervention was required in this study

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Detection of novel biomarkers in ccRCC patients before surgery
Time Frame: For ccRCC patients, these six novel biomarkers were detected 1 to 3 days before surgery
  1. The expressions of novel biomarkers in blood samples: The protein levels of CA9, NDUFA4L2, ANGPTL4, HILPDA and EGLN3 in blood samples were detected by ELISA method. The levels of cell-free DNA methylomes in blood samples were detected by real-time fluorescence quantitative PCR method.
  2. The expressions of novel biomarkers in urine samples: The levels of cell-free DNA methylomes in urine samples were detected by real-time fluorescence quantitative PCR method.
For ccRCC patients, these six novel biomarkers were detected 1 to 3 days before surgery
Detection of novel biomarkers in ccRCC patients 1 week after surgery
Time Frame: For ccRCC patients, the detection of these biomarkers were completed within one week after surgery
  1. The expressions of novel biomarkers in tissues: In the tumor and adjacent tissues from ccRCC patients, the mRNA expressions of CA9, NDUFA4L2, ANGPTL4, HILPDA and EGLN3 were measured by real-time fluorescence quantitative PCR method. The protein expressions of these five molecules were detected by western blot, and immunohistochemistry methods.
  2. The expressions of novel biomarkers in blood samples: The protein levels of CA9, NDUFA4L2, ANGPTL4, HILPDA and EGLN3 in blood samples were detected by ELISA method. The levels of cell-free DNA methylomes in blood samples were detected by real-time fluorescence quantitative PCR method.
  3. The expressions of novel biomarkers in urine samples: The levels of cell-free DNA methylomes in urine samples were detected by real-time fluorescence quantitative PCR method.
For ccRCC patients, the detection of these biomarkers were completed within one week after surgery
Detection of novel biomarkers in ccRCC patients at 6 months after surgery
Time Frame: For ccRCC patients, these six novel biomarkers were detected at 6 months postoperatively
  1. The expressions of novel biomarkers in blood samples: The protein levels of CA9, NDUFA4L2, ANGPTL4, HILPDA and EGLN3 in blood samples were detected by ELISA method. The levels of cell-free DNA methylomes in blood samples were detected by real-time fluorescence quantitative PCR method.
  2. The expressions of novel biomarkers in urine samples: The levels of cell-free DNA methylomes in urine samples were detected by real-time fluorescence quantitative PCR method.
For ccRCC patients, these six novel biomarkers were detected at 6 months postoperatively
Detection of novel biomarkers in the control groups as baseline
Time Frame: For the healthy control group and the benign kidney disease group, the levels of these six biomarkers were detected as baseline.
  1. The expressions of novel biomarkers in blood samples: The protein levels of CA9, NDUFA4L2, ANGPTL4, HILPDA and EGLN3 in blood samples were detected by ELISA method. The levels of cell-free DNA methylomes in blood samples were detected by real-time fluorescence quantitative PCR method.
  2. The expressions of novel biomarkers in urine samples: The levels of cell-free DNA methylomes in urine samples were detected by real-time fluorescence quantitative PCR method.
For the healthy control group and the benign kidney disease group, the levels of these six biomarkers were detected as baseline.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Li Zhang, Dr., The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital

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

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)

February 11, 2022

Primary Completion (ANTICIPATED)

December 31, 2025

Study Completion (ANTICIPATED)

December 31, 2026

Study Registration Dates

First Submitted

January 5, 2022

First Submitted That Met QC Criteria

January 25, 2022

First Posted (ACTUAL)

January 31, 2022

Study Record Updates

Last Update Posted (ACTUAL)

March 9, 2022

Last Update Submitted That Met QC Criteria

March 7, 2022

Last Verified

March 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

There is no plan to share individual participant data (IPD) until the project is completed. Sharing IPD may be available 1 year after publication.

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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