ArticleScientific reports2020
The number of metabolic features as a significant prognostic factor in patients with metastatic renal cell carcinoma.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Severe hypercalcemia as the initial presentation of renal cell carcinoma: a diagnostic case report.Annals of medicine and surgery (2012) · 2025Article
- Metabolomic landscape of renal cell carcinoma in von Hippel-Lindau syndrome in a Chinese cohort.iScience · 2024Article
- Availability of ChatGPT to provide medical information for patients with kidney cancer.Scientific reports · 2024Article
- Prognostic value of glucose to lymphocyte ratio for patients with renal cell carcinoma undergoing laparoscopic nephrectomy: A multi-institutional, propensity score matching cohort study.Frontiers in surgery · 2022Article
- Lymphocyte-to-C-Reactive Protein Ratio as a Novel Marker for Predicting Oncological Outcomes in Patients with Esophageal Cancer.World journal of surgery · 2021Article
- The Role of Metabolic Factors in Renal Cancers.International journal of molecular sciences · 2020Review
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Authors and funding
12 authors at 8 institutions in 1 country.
Funding
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Abstract
The effect of metabolic characteristics on the prognosis of patients with metastatic renal cell carcinoma remains controversial. We investigated the associations between metabolic features of each individual and disease prognosis in patients with metastatic renal cell carcinoma. Data of 1,584 patients with metastatic renal cell carcinoma from a multi-institutional database were retrospectively analyzed. The entire cohort was stratified into three subgroups according to how many patients had abnormal metabolic features (hypertension, diabetes mellitus, and low body mass index). The Kaplan-Meier and Cox proportional analyses were performed to investigate the associations between abnormal metabolic features and disease prognosis. mThere were 465 subjects without any metabolic features, 995 with one or two, and 124 with three. When the survival outcomes were compared according to the number of metabolic features, patients with higher numbers of metabolic features had significantly shorter overall and cancer-specific survival than those with fewer metabolic features (all p values <0.05). The multivariate Cox analysis showed that the number of metabolic features was an independent predictor for shorter cancer-specific and overall survival (all p values < 0.05). When performing subgroup analysis according to the cellular type, significant results were only obtained among the clear cell subtype subgroup, with the association not being significant in the non-clear cell subtype cohort. Patients with more metabolic features had significantly worse survival outcomes than those with fewer metabolic features. However, the association was only statistically significant in patients with clear cell-type metastatic renal cell carcinoma.
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