Skip to main content
Log in

Can we Predict Preoperative Tumor Aggressivity with Hemogram Parameters in Renal Cell Carcinoma? a Novel Calculation Method

  • Patient Facing Systems
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

We aim to investigate the prognostic significance of the hemoglobin X lymphocyte / neutrophil ratio (HLNR) and hemoglobin x lymphocyte / platelet ratio (HLPR) with tumor aggressivity in patients with renal cell carcinoma. We retrospectively analyzed 127 patients’ data who had diagnosed as renal cell carcinoma between 2008 and 2019 in Suleyman Demirel University Hospital. Tumor and patient characteristics, hemoglobin, neutrophil, lymphocyte, platelet values HLNR and HLPR were calculated in preoperative hemogram parameters. The relationship between tumor pathological stage, Fuhrman nuclear grade and tumor necrosis with HLPR and HLNR analyzed with statistically. There was a negative correlation between pathologic stage, Fuhrman nuclear grade and tumor necrosis with HLNR. P values are 0.003, 0.012 and 0.015 respectively. HLNR was lower in patients with high pathologic stage, high Fuhrman nuclear grade and accompanying tumor necrosis positiveness. There was a negative correlation between pathologic stage, Fuhrman nuclear grade and tumor necrosis with HLPR. P values are 0.001, 0.014 and 0.047 respectively. HLPR was lower in patients with high pathologic stage, high Fuhrman nuclear grade and accompanying tumor necrosis positiveness. High pathological stage, high Fuhrman nuclear grade and existence of tumor necrosis are associates with preoperative low HLNR and low HLPR in renal cell carcinoma patients. They can be used as prognostic markers in patients with renal mass preoperatively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Siegel, R. L., and Miller, K. D., Cancer statistics, 2019. 69(1):7–34, 2019.

  2. Sureka, B., Lal, A., Khandelwal, N., Joshi, K., Singh, S. K., Agarwal, M. M., and Mittal, A., Dynamic computed tomography and Doppler findings in different subtypes of renal cell carcinoma with their histopathological correlation. J. Cancer Res. Ther. 10(3):552–557, 2014.

    PubMed  Google Scholar 

  3. Leibovich, B. C., Lohse, C. M., Crispen, P. L., Boorjian, S. A., Thompson, R. H., Blute, M. L., and Cheville, J. C., Histological subtype is an independent predictor of outcome for patients with renal cell carcinoma. J. Urol. 183(4):1309–1315, 2010.

    Article  Google Scholar 

  4. Sobin, L. H., Gospodarowicz, M. K., and Wittekind, C., TNM classification of malignant tumours. John Wiley & Sons, 2011.

  5. Sun, M., Shariat, S. F., Cheng, C., Ficarra, V., Murai, M., Oudard, S., Pantuck, A. J., Zigeuner, R., and Karakiewicz, P. I., Prognostic factors and predictive models in renal cell carcinoma: A contemporary review. Eur. Urol. 60(4):644–661, 2011.

    Article  Google Scholar 

  6. Mantovani, A., Allavena, P., Sica, A., and Balkwill, F., Cancer-related inflammation. Nature 454(7203):436–444, 2008.

    Article  CAS  Google Scholar 

  7. Mandal, S. K., Ganguly, J., Sil, K., Mondal, S. S., Sardar, D., and Sarkar, P., Renal cell carcinoma with paraneoplastic leucocytosis. J. Cancer Res. Ther. 11(3):660, 2015.

    Article  Google Scholar 

  8. de Martino, M., Leitner, C. V., Seemann, C., Hofbauer, S. L., Lucca, I., Haitel, A., Shariat, S. F., and Klatte, T., Preoperative serum cholesterol is an independent prognostic factor for patients with renal cell carcinoma (RCC). BJU Int. 115(3):397–404, 2015.

    Article  Google Scholar 

  9. Hofbauer, S. L., Stangl, K. I., de Martino, M., Lucca, I., Haitel, A., Shariat, S. F., and Klatte, T., Pretherapeutic gamma-glutamyltransferase is an independent prognostic factor for patients with renal cell carcinoma. Br. J. Cancer 111(8):1526–1531, 2014.

    Article  CAS  Google Scholar 

  10. Lucca, I., de Martino, M., Hofbauer, S. L., Zamani, N., Shariat, S. F., and Klatte, T., Comparison of the prognostic value of pretreatment measurements of systemic inflammatory response in patients undergoing curative resection of clear cell renal cell carcinoma. World J. Urol. 33(12):2045–2052, 2015.

    Article  CAS  Google Scholar 

  11. Yodying, H., Matsuda, A., Miyashita, M., Matsumoto, S., Sakurazawa, N., Yamada, M., and Uchida, E., Prognostic significance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in oncologic outcomes of esophageal Cancer: A systematic review and meta-analysis. Ann. Surg. Oncol. 23(2):646–654, 2016.

    Article  Google Scholar 

  12. Mano, R., Flynn, J., Blum, K. A., Silagy, A. W., DiNatale, R. G., Marcon, J., Wang, A., Sanchez, A., Coleman, J. A., Russo, P., Ostrovnaya, I., and Hakimi, A. A., The predictive role of preoperative and postoperative neutrophil-lymphocyte ratio in sarcomatoid renal cell carcinoma. Urol. Oncol., Seminars and Original Investigations. Elsevier, 2019.

  13. Ikuerowo, S. O., Ojewuyi, O. O., Omisanjo, O. A., Abolarinwa, A. A., Bioku, M. J., and Doherty, A. F., Paraneoplastic syndromes and oncological outcomes in renal cancer. Niger. J. Clin. Pract. 22(9):1271–1275, 2019.

    Article  CAS  Google Scholar 

  14. Muijs, D., Doing quantitative research in education with SPSS. In: Bivariate analysis: comparing two groups, pp 126, Sage, 2010.

  15. Azab, B., Bhatt, V. R., Phookan, J., Murukutla, S., Kohn, N., Terjanian, T., and Widmann, W. D., Usefulness of the neutrophil-to-lymphocyte ratio in predicting short- and long-term mortality in breast cancer patients. Ann. Surg. Oncol. 19(1):217–224, 2012.

    Article  Google Scholar 

  16. Kishi, Y., Kopetz, S., Chun, Y. S., Palavecino, M., Abdalla, E. K., and Vauthey, J. N., Blood neutrophil-to-lymphocyte ratio predicts survival in patients with colorectal liver metastases treated with systemic chemotherapy. Ann. Surg. Oncol. 16(3):614–622, 2009.

    Article  Google Scholar 

  17. Kao, S. C., Pavlakis, N., Harvie, R., Vardy, J. L., Boyer, M. J., van Zandwijk, N., and Clarke, S. J., High blood neutrophil-to-lymphocyte ratio is an indicator of poor prognosis in malignant mesothelioma patients undergoing systemic therapy. Clin. Cancer Res.: an official journal of the American Association for Cancer Research 16(23):5805–5813, 2010.

    Article  CAS  Google Scholar 

  18. Azab, B., Daoud, J., Naeem, F. B., Nasr, R., Ross, J., Ghimire, P., Siddiqui, A., Azzi, N., Rihana, N., Abdallah, M., Azzi, N., Patel, P., Kleiner, M., and el-Sayegh, S., Neutrophil-to-lymphocyte ratio as a predictor of worsening renal function in diabetic patients (3-year follow-up study). Ren. Fail. 34(5):571–576, 2012.

    Article  CAS  Google Scholar 

  19. Bazzi, W. M., Tin, A. L., Sjoberg, D. D., Bernstein, M., and Russo, P., The prognostic utility of preoperative neutrophil-to-lymphocyte ratio in localized clear cell renal cell carcinoma. Can. J. Urol. 23(1):8151–8154, 2016.

    PubMed  PubMed Central  Google Scholar 

  20. Pichler, M., Hutterer, G. C., Stoeckigt, C., Chromecki, T. F., Stojakovic, T., Golbeck, S., Eberhard, K., Gerger, A., Mannweiler, S., Pummer, K. et al., Validation of the pre-treatment neutrophil-lymphocyte ratio as a prognostic factor in a large European cohort of renal cell carcinoma patients. Br. J. Cancer 108(4):901–907, 2013.

    Article  CAS  Google Scholar 

  21. Keizman, D., Ish-Shalom, M., Huang, P., Eisenberger, M. A., Pili, R., Hammers, H., and Carducci, M. A., The association of pre-treatment neutrophil to lymphocyte ratio with response rate, progression free survival and overall survival of patients treated with sunitinib for metastatic renal cell carcinoma. Eur. J. Cancer (Oxford, England : 1990) 48(2):202–208, 2012.

    Article  CAS  Google Scholar 

  22. Hutterer, G. C., Krieger, D., Mrsic, E., Pohlmann, K., Bezan, A., Stojakovic, T., Pummer, K., Zigeuner, R., and Pichler, M., Preoperative Leucocytosis, thrombocytosis and Anemia as potential prognostic factors in non-metastatic renal cell carcinoma. Anticancer Res. 35(6):3463–3469, 2015.

    PubMed  Google Scholar 

  23. Xia, L., Hu, G., and Guzzo, T. J., Prognostic significance of preoperative Anemia in patients undergoing surgery for renal cell carcinoma: A meta-analysis. Anticancer Res. 37(6):3175–3181, 2017.

    PubMed  Google Scholar 

  24. Rhodes, E. C., Parikh, S. P., and Bhattacharyya, N., Severe autoimmune hemolytic anemia with renal neoplasm. Pediatr. Surg. Int. 30(2):243–244, 2014.

    Article  Google Scholar 

  25. Zisman, A., Pantuck, A. J., Wieder, J., Chao, D. H., Dorey, F., Said, J. W., deKernion, J. B., Figlin, R. A., and Belldegrun, A. S., Risk group assessment and clinical outcome algorithm to predict the natural history of patients with surgically resected renal cell carcinoma. J. Clin. Oncol.: official journal of the American Society of Clinical Oncology 20(23):4559–4566, 2002.

    Article  Google Scholar 

  26. Leibovich, B. C., Blute, M. L., Cheville, J. C., Lohse, C. M., Frank, I., Kwon, E. D., Weaver, A. L., Parker, A. S., and Zincke, H., Prediction of progression after radical nephrectomy for patients with clear cell renal cell carcinoma: A stratification tool for prospective clinical trials. Cancer 97(7):1663–1671, 2003.

    Article  Google Scholar 

  27. Frank, I., Blute, M. L., Cheville, J. C., Lohse, C. M., Weaver, A. L., and Zincke, H., An outcome prediction model for patients with clear cell renal cell carcinoma treated with radical nephrectomy based on tumor stage, size, grade and necrosis: The SSIGN score. J. Urol. 168(6):2395–2400, 2002.

    Article  Google Scholar 

  28. de Martino, M., Klatte, T., Seemann, C., Waldert, M., Haitel, A., Schatzl, G., Remzi, M., and Weibl, P., Validation of serum C-reactive protein (CRP) as an independent prognostic factor for disease-free survival in patients with localised renal cell carcinoma (RCC). BJU Int. 111(8):E348–E353, 2013.

    Article  Google Scholar 

  29. Klatte, T., Seligson, D. B., LaRochelle, J., Shuch, B., Said, J. W., Riggs, S. B., Zomorodian, N., Kabbinavar, F. F., Pantuck, A. J., and Belldegrun, A. S., Molecular signatures of localized clear cell renal cell carcinoma to predict disease-free survival after nephrectomy. Cancer Epidemiol. Biomarkers Prev.: a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 18(3):894–900, 2009.

    Article  CAS  Google Scholar 

  30. de Martino, M., Klatte, T., Haitel, A., and Marberger, M., Serum cell-free DNA in renal cell carcinoma: a diagnostic and prognostic marker. Cancer 118(1):82–90, 2012.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: Murat Uçar,

Data curation: Murat Uçar, Ali Akkoç, Murat Topçuoğlu.

Formal analysis: Murat Uçar, Sedat Soyupek, Taylan Oksay.

Investigation: Murat Uçar, Murat Demir.

Methodology: Sedat Soyupek, Alim Koşar.

Project administration: Ali Akkoç, Murat Topçuoğlu.

Supervision: Alper Özorak, Alim Koşar.

Validation: Murat Uçar, Murat Demir.

Visualization: Taylan Oksay, Alper Özorak.

Writing – original draft: Murat Uçar.

Writing – review & editing: Sedat Soyupek, Taylan Oksay, Alper Özorak, Alim Koşar.

Corresponding author

Correspondence to Murat Uçar.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Patient Facing Systems

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Uçar, M., Soyupek, S., Oksay, T. et al. Can we Predict Preoperative Tumor Aggressivity with Hemogram Parameters in Renal Cell Carcinoma? a Novel Calculation Method. J Med Syst 44, 19 (2020). https://doi.org/10.1007/s10916-019-1491-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-019-1491-2

Keywords

Navigation