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Serum markers change for intraocular metastasis in renal cell carcinoma

Authors
  • Sun, Tie1, 2
  • Tang, Jing3
  • Pan, Yi-Cong1
  • Yu, Chen-Yu1, 2
  • Li, Biao1
  • Zhang, Li-Juan1
  • Shu, Hui-Ye1
  • Ge, Qian-Min1
  • Shao, Yi1
  • 1 Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China
  • 2 The First Clinical Medical College, Nanchang University, Nanchang 330006, Jiangxi Province, China
  • 3 Department of Oncology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou 412000, Hunan, China
Type
Published Article
Journal
Bioscience Reports
Publisher
Portland Press
Publication Date
Sep 13, 2021
Volume
41
Issue
9
Identifiers
DOI: 10.1042/BSR20203116
PMID: 34467977
PMCID: PMC8438111
Source
PubMed Central
Keywords
Disciplines
  • Research Articles
License
Unknown

Abstract

Objective: Renal cell carcinoma is prone to early metastasis. In general, intraocular metastasis (IOM) is not common. In the present study, we studied the relationship between different biochemical indicators and the occurrence of IOM in renal cancer patients, and identified the potential risk factors. Methods: A retrospective analysis of the clinical data of 214 patients with renal cell carcinoma from October 2001 to August 2016 was carried out. The difference and correlation of various indicators between the two groups with or without IOM was analyzed, and binary logistic regression analysis was used to explore the risk factors of IOM in renal cancer patients. The diagnostic value of each independent related factor was calculated according to the receiver operating curve (ROC). Results: The level of neuron-specific enolase (NSE) in renal cell carcinoma patients with IOM was significantly higher than that in patients without IOM ( P <0.05). There was no significant difference in alkaline phosphatase (ALP), hemoglobin (Hb), serum calcium concentration, α fetoprotein (AFP), carcinoembryonic antigen (CEA), CA-125 etc. between IOM group and non-IOM (NIOM) group ( P >0.05). Binary logistic regression analysis showed that NSE was an independent risk factor for IOM in renal cell carcinoma patients ( P <0.05). ROC curve shows that the factor has high accuracy in predicting IOM, and the area under the curve (AUC) is 0.774. The cut-off value of NSE was 49.5 U/l, the sensitivity was 72.2% and the specificity was 80.1%. Conclusion: NSE concentration is a risk factor for IOM in patients with renal cell cancer. If the concentration of NSE in the patient’s body is ≥49.5 U/l, disease monitoring and eye scans should be strengthened.

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