Novel Biomarkers of Hypoxia and Metabolism in Clear Cell Renal Cell Carcinoma
1 other identifier
observational
300
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Feb 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 5, 2022
CompletedFirst Posted
Study publicly available on registry
January 31, 2022
CompletedStudy Start
First participant enrolled
February 11, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
ExpectedMarch 9, 2022
March 1, 2022
3.9 years
January 5, 2022
March 7, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Detection of novel biomarkers in ccRCC patients 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
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
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
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.
Study Arms (3)
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 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 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.
Interventions
The patient was treated normally and no intervention was required in this study
Eligibility Criteria
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.
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital
Jinan, China
Related Publications (10)
Moch H, Cubilla AL, Humphrey PA, Reuter VE, Ulbright TM. The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs-Part A: Renal, Penile, and Testicular Tumours. Eur Urol. 2016 Jul;70(1):93-105. doi: 10.1016/j.eururo.2016.02.029. Epub 2016 Feb 28.
PMID: 26935559BACKGROUNDRini BI, Campbell SC, Escudier B. Renal cell carcinoma. Lancet. 2009 Mar 28;373(9669):1119-32. doi: 10.1016/S0140-6736(09)60229-4. Epub 2009 Mar 5.
PMID: 19269025BACKGROUNDLucarini L, Magnelli L, Schiavone N, Crisci A, Innocenti A, Puccetti L, Cianchi F, Peri S, Supuran CT, Papucci L, Masini E. Plasmatic carbonic anhydrase IX as a diagnostic marker for clear cell renal cell carcinoma. J Enzyme Inhib Med Chem. 2018 Dec;33(1):234-240. doi: 10.1080/14756366.2017.1411350.
PMID: 29251173BACKGROUNDTello D, Balsa E, Acosta-Iborra B, Fuertes-Yebra E, Elorza A, Ordonez A, Corral-Escariz M, Soro I, Lopez-Bernardo E, Perales-Clemente E, Martinez-Ruiz A, Enriquez JA, Aragones J, Cadenas S, Landazuri MO. Induction of the mitochondrial NDUFA4L2 protein by HIF-1alpha decreases oxygen consumption by inhibiting Complex I activity. Cell Metab. 2011 Dec 7;14(6):768-79. doi: 10.1016/j.cmet.2011.10.008. Epub 2011 Nov 17.
PMID: 22100406BACKGROUNDPapandreou I, Cairns RA, Fontana L, Lim AL, Denko NC. HIF-1 mediates adaptation to hypoxia by actively downregulating mitochondrial oxygen consumption. Cell Metab. 2006 Mar;3(3):187-97. doi: 10.1016/j.cmet.2006.01.012.
PMID: 16517406BACKGROUNDLiu L, Lan G, Peng L, Xie X, Peng F, Yu S, Wang Y, Tang X. NDUFA4L2 expression predicts poor prognosis in clear cell renal cell carcinoma patients. Ren Fail. 2016 Sep;38(8):1199-205. doi: 10.1080/0886022X.2016.1208517. Epub 2016 Jul 25.
PMID: 27453328BACKGROUNDMiikkulainen P, Hogel H, Seyednasrollah F, Rantanen K, Elo LL, Jaakkola PM. Hypoxia-inducible factor (HIF)-prolyl hydroxylase 3 (PHD3) maintains high HIF2A mRNA levels in clear cell renal cell carcinoma. J Biol Chem. 2019 Mar 8;294(10):3760-3771. doi: 10.1074/jbc.RA118.004902. Epub 2019 Jan 7.
PMID: 30617181BACKGROUNDPovero D, Johnson SM, Liu J. Hypoxia, hypoxia-inducible gene 2 (HIG2)/HILPDA, and intracellular lipolysis in cancer. Cancer Lett. 2020 Nov 28;493:71-79. doi: 10.1016/j.canlet.2020.06.013. Epub 2020 Aug 18.
PMID: 32818550BACKGROUNDGalaup A, Cazes A, Le Jan S, Philippe J, Connault E, Le Coz E, Mekid H, Mir LM, Opolon P, Corvol P, Monnot C, Germain S. Angiopoietin-like 4 prevents metastasis through inhibition of vascular permeability and tumor cell motility and invasiveness. Proc Natl Acad Sci U S A. 2006 Dec 5;103(49):18721-6. doi: 10.1073/pnas.0609025103. Epub 2006 Nov 27.
PMID: 17130448BACKGROUNDNuzzo PV, Berchuck JE, Korthauer K, Spisak S, Nassar AH, Abou Alaiwi S, Chakravarthy A, Shen SY, Bakouny Z, Boccardo F, Steinharter J, Bouchard G, Curran CR, Pan W, Baca SC, Seo JH, Lee GM, Michaelson MD, Chang SL, Waikar SS, Sonpavde G, Irizarry RA, Pomerantz M, De Carvalho DD, Choueiri TK, Freedman ML. Detection of renal cell carcinoma using plasma and urine cell-free DNA methylomes. Nat Med. 2020 Jul;26(7):1041-1043. doi: 10.1038/s41591-020-0933-1. Epub 2020 Jun 22.
PMID: 32572266BACKGROUND
Biospecimen
Blood, urine, and tumor tissue samples
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Li Zhang, Dr.
The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- associate professor
Study Record Dates
First Submitted
January 5, 2022
First Posted
January 31, 2022
Study Start
February 11, 2022
Primary Completion
December 31, 2025
Study Completion (Estimated)
December 31, 2026
Last Updated
March 9, 2022
Record last verified: 2022-03
Data Sharing
- IPD Sharing
- Will not share
There is no plan to share individual participant data (IPD) until the project is completed. Sharing IPD may be available 1 year after publication.