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ECPB 2019, 85(1): 78–81
https://doi.org/10.25040/ecpb2019.01.078
Research articles

Investigation of the Correlation between Clinical and Survival Indices in Patients with the Renal-cell Carcinoma

O.O. STROY, Y.O. MYTSYK, V.V. DMYTRIENKO, O.V. PYSKO, A.S. OBROTSKYY, V.S. ZADOROZNYY, R.R. ZAHORUJKO, S.V. NAMAZYLO, O.Y. SOLDATENKO, I.O. MAKAGONOV
Abstract

Renal cell carcinoma (RCC) is a highly lethal pathology, 5-year cancer-specific survival (CSS) of patients with this a disease does not exceed 75 %. Despite the widespread introduction of the latest diagnostic and therapeutic technologies, mortality in the RCC remains at almost the same level over the past 20 years. CSS and the risk of metastases in patients with RCC, in particular after surgery, depend on a variety of factors, among which the stage of the tumor, the histological subtype of the lesion and the degree of its differentiation play a leading role. A number of studies have demonstrated the independent prognostic role in duration of CSS of a number of other factors, such as the general performance status of the patient, the erythrocyte sedimentation rate (ESR) before the operation, the indicators of the blood shedding system, molecular markers, and others. At the same time, there is still no consensus on the criteria that should be included in modern prognostic systems for RCC, which necessitates further study of this issue.

The aim of the study was to investigate the correlation between clinical and survival indices in patients with the RCC.

The study included 343 patients with RCC. In total 38 clinical indices of patients with RCC were analyzed in order to estimate the correlation between them and four main parameters of survival: time to recurrence (TTR), 3-year CSS, time from diagnosis to death (DD) and time from metastasis to death (MD). The Pearson correlation coefficient was calculated for each pair of clinical and survival parameters. The Microsoft Excel 2016 software was used to statistically process the received data.

There was weak correlation between immunologic clinical indices and survival parameters in patients with RCC. However, we observed strong correlation between CSS, TRR, DD, MD and 8 clinical parameters of the RCC: pre-operational sedimentation rate, Karnofsky general performance status, stage of the tumor, T, N and M stages as a separate factors, grade of nuclear atypia and histologic subtype of the RCC (p < 0.05). Medium correlation between survival and clinical parameters was observed for tumor necrosis, state of the tumor capsule, size of the tumor, type of the tumor growth (p < 0.05). Thus, among patients with RCC TNM stage I, the average ESR before surgery was 17.9 mm/h, among patients with stage II – 25.0 mm/h, among patients of the third stage – 35.2 mm/h, and among patients in stage IV – 43.4 mm/h. The general performance status of the patient was also quite noticeably associated with the stage of the tumor process. The average score of the Karnofsky scale for T1 tumors was 90, for tumors T2 – 80, T3 – 50 tumors and T4 – 30 tumors.

Among 38 clinical indices, which were investigated, only 8 demonstrated strong correlation with survival parameters in patients with RCC. Further investigations are required in order to validate obtained data and development of the prognostic system.

Recieved: 07.03.2019

Keywords: renal-cell carcinoma, prognosis, survival, metastasis

Full text: PDF (Ukr) 400K

References
  1. 1. Mytsyk YO. The мorbidity and мortality rates in patients with renal cell carcinoma in Ukraine. Experimental and Clinical Physiology and Biochemistry. 2015;2015(3):67-71. doi.org/10.25040/ecpb2015.03.067
  2. 2. Pal DK, Maurya AK, Jana D. Comparative study of renal cell carcinoma in patients less than 40 years of age and older age patients: A retrospective single-center study. Indian J Cancer. 2018;55(3):297-300.
  3. 3. Zhu Y, Zhao Y-R, Yang X-F, Wei M-T, Niu Y-J, Chang J-W et al. Postoperative prognostic model for patients with clear cell renal cell carcinoma in a Chinese population. Int J Urol. 2019 Mar 12; doi.org/10.1111/iju.13936
  4. 4. Grimm J, Zeuschner P, Janssen M, Wagenpfeil S, Hartmann A, Stöhr C, et al. Metastatic risk stratification of clear cell renal cell carcinoma patients based on genomic aberrations. Genes Chromosomes Cancer. 2019 Mar 9; doi.org/10.1002/gcc.22749
  5. 5. Sugiyama Y, Yatsuda J, Murakami Y, Ito N, Yamasaki T, Mikami Y et al. Impact of tumor size on patient survival after radical nephrectomy for pathological T3a renal cell carcinoma. Jpn J Clin Oncol. 2019 Feb 22; doi.org/10.1093/jjco/hyy200
  6. 6. Xie M, Lv Y, Liu Z, Zhang J, Liang C, Liao X et al. Identification and validation of a four-miRNA (miRNA-21-5p, miRNA-9-5p, miR-149-5p, and miRNA-30b-5p) prognosis signature in clear cell renal cell carcinoma. Cancer Manag Res. 2018;10:5759-66. doi.org/10.2147/CMAR.S187109
  7. 7. Cai W, Zhong H, Kong W, Dong B, Chen Y, Zhou L et al. Significance of preoperative prog- nostic nutrition index as prognostic predictors in patients with metastatic renal cell carcinoma with tyrosine kinase inhibitors as first-line target therapy. Int Urol Nephrol. 2017;49(11):1955-63. doi.org/10.1007/s11255-017-1693-9
  8. 8. Zisman A, Pantuck AJ, Wieder J, Chao DH, Dorey F, Said JW et al. Risk group assessment and clinical outcome algorithm to predict the natural history of patients with surgically resected renal cell carcinoma. J Clin Oncol. 2002 Dec 1;20(23):4559-66. doi.org/10.1200/JCO.2002.05.111


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