Is it anemia an independent prognostic factor of patients with renal cell carcinoma? A university hospital experience.

医学 贫血 血小板增多症 肾细胞癌 内科学 比例危险模型 危险系数 中性粒细胞 临床意义 体质指数 肿瘤科 风险因素 转移 病态的 统计显著性 癌症 置信区间 血小板
作者
Bruna Bighetti,Giuliana Seo,Pamela Reinaldo Leite,Thais Medeiros de Jesus,Gyovanna Luz,Ilka Lopes Santoro,Hakaru Tadokoro,Tiago Costa de Pádua
出处
期刊:Journal of Clinical Oncology [Lippincott Williams & Wilkins]
卷期号:39 (15_suppl): e16501-e16501
标识
DOI:10.1200/jco.2021.39.15_suppl.e16501
摘要

e16501 Background: Clear cell carcinoma (RCC) is the most common histologic type of renal cancer. It is well established that, for this specific histology, six main prognostic factors interact into a score and can categorize it into three different prognostic groups: favorable-risk, intermediate-risk, and poor-risk. These six factors are anemia, thrombocytosis, neutrophilia, hypercalcemia, Karnofsky performance status < 80%, and < 1 year from diagnosis to treatment. The objective of this study is to evaluate if any of these prognostic factors can independently predict a worse prognosis. Methods: We conducted a retrospective study with 51 patients treated in our national reference institution. The great majority of them were RCC. We analyzed the overall survival (OS) of each one of the six classic risk factors adding to that the body mass index (BMI), the presence of metastasis at diagnosis time, and comorbidities. Results: The analysis of most of the indexed parameters did not show a statistical difference, but anemia and the presence of metastasis at the time of diagnosis. We found that the anemia itself denotes a Hazard Ratio (HR) of 2,35 (p = 0,034). Moreover, if it is adjusted for age and sex, the HR reduces at 1,149, sustaining its statistical significance yet. The presence of metastasis at the time of diagnosis is translated as an HR = 2,029 (p = 0,049), bringing into light something already known in clinical practice, but still, a lower risk compared to anemia. Conclusions: The six classic risk factors for RRC survival pooled together can interact and predict the OS and patient’s prognosis. Our study suggests that the anemia itself can predict independently a worst-case scenario, which emphasizes the importance of this analysis upfront. A larger prospective cohort is warranted to further understanding this framework.

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