CD3+ and CD8+ T cell-based immune cell score as a prognostic factor in clear-cell renal cell carcinoma

Authors

  • Jonne Åkerla Department of Urology, Tampere University Hospital, Tampere, Finland https://orcid.org/0000-0002-0861-6569
  • Olli Helminen Cancer and Translational Medicine Research Unit, Medical Research Centre, University of Oulu and Oulu University Hospital, Oulu, Finland; Department of Gastrointestinal Surgery, Oulu University Hospital, Oulu, Finland
  • Juha P. Väyrynen Cancer and Translational Medicine Research Unit, Medical Research Centre, University of Oulu and Oulu University Hospital, Oulu, Finland
  • Anne Parkkinen Department of Surgery, Hospital Nova of Central Finland, Jyväskylä, Finland
  • Hilma Järvenpää Department of Surgery, Hospital Nova of Central Finland, Jyväskylä, Finland
  • Jan Böhm Department of Pathology, Hospital Nova of Central Finland, Jyväskylä, Finland
  • Maarit Ahtiainen Department of Pathology, Hospital Nova of Central Finland, Jyväskylä, Finland
  • Heikki Seikkula Department of Surgery, Hospital Nova of Central Finland, Jyväskylä, Finland

DOI:

https://doi.org/10.2340/1651-226X.2024.19690

Keywords:

Carcinoma, renal cell, immunohistochemistry, immune cell score, CD3, CD8, Prognosis

Abstract

Background and purpose: Immunoscore® is a prognostic parameter based on densities of lymphocyte populations in the tumor center and invasive margin. Immunoscore® is validated in colorectal cancer as a high Immunoscore® is associated with longer survival. Previous studies have suggested that Immunoscore® may also predict oncological outcomes in clear-cell renal cell carcinoma (ccRCC). This study aims to assess the prognostic role of immune cell score in ccRCC.

Material and methods: All patients with ccRCC undergoing surgery between 2007 and 2020 in Central Finland Central Hospital were retrospectively identified. CD3+ and CD8+ cell densities were calculated from tissue samples to determine the immune cell score using Immunoscore® principles. Receiver-operating characteristic analysis, Kaplan–Meier survival curve, and Cox regression were used to evaluate the association between immune cell score and survival.

Results: A total of 203 patients (mean age 66.5 years) were identified. The median follow-up time was 6.2 years. Based on the immune cell score, the patients were divided into three groups: low, intermediate, and high. In Cox regression analysis, adjusted with age, sex, and Charlson Comorbidity Index, no significant differences in disease-specific mortality were observed among the three groups. The hazard ratios (HRs) for disease-specific mortality were 0.93 (95% confidence interval [CI] 0.48–1.79) and 1.12 (0.52–2.37) for intermediate- and high-immune cell score groups when compared to low-immune cell score group, respectively.

Interpretation: This study found no association between immune cell score and survival. These results indicate that immune cell score may not serve as a prognostic tool in ccRCC.

Downloads

Download data is not yet available.

References

Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49. https://doi.org/10.3322/CAAC.21660 DOI: https://doi.org/10.3322/caac.21660

Padala SA, Barsouk A, Thandra KC, et al. Epidemiology of renal cell carcinoma. World J Oncol. 2020;11(3):79. https://doi.org/10.14740/WJON1279 DOI: https://doi.org/10.14740/wjon1279

Shuch B, Amin A, Armstrong AJ, et al. Understanding pathologic variants of renal cell carcinoma: distilling therapeutic opportunities from biologic complexity. Eur Urol. 2015;67(1):85–97. https://doi.org/10.1016/j.eururo.2014.04.029 DOI: https://doi.org/10.1016/j.eururo.2014.04.029

Brierley J, Gospodarowicz MD, Wittekind CT. TNM classification of malignant tumors international union against cancer [Internet]. 8th ed. Oxford: Wiley; 2017 , p. 57–62. [cited 28-12-2022]. Available from: https://www.wiley.com/en-nl/TNM+Classification+of+Malignant+Tumours%2C+8th+Edition-p-9781119263562

Ljungberg B, Bensalah K, Canfield S, et al. EAU guidelines on renal cell carcinoma: 2014 update. Eur Urol. 2015;67(5):913–24. https://doi.org/10.1016/j.eururo.2015.01.005 DOI: https://doi.org/10.1016/j.eururo.2015.01.005

Cancer SEER. Kidney and renal pelvis cancer – Cancer stat facts [Internet]. NIH, National Cancer Institute; 2018. [cited 28-12-2022]. Availa-ble from: https://seer.cancer.gov/statfacts/html/kidrp.html

Klatte T, Rossi SH, Stewart GD. Prognostic factors and prognostic models for renal cell carcinoma: a literature review. World J Urol. 2018;36(12):1943–52. https://doi.org/10.1007/S00345-018-2309-4 DOI: https://doi.org/10.1007/s00345-018-2309-4

Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010;140:883–99. https://doi.org/10.1016/j.cell.2010.01.025 DOI: https://doi.org/10.1016/j.cell.2010.01.025

Mlecnik B, Bindea G, Kirilovsky A, et al. The tumor microenvironment and Immunoscore are critical determinants of dissemination to dis-tant metastasis. Sci Transl Med. 2016;8(327):327ra26. https://doi.org/10.1126/scitranslmed.aad6352 DOI: https://doi.org/10.1126/scitranslmed.aad6352

Kirilovsky A, Marliot F, El Sissy C, Haicheur N, Galon J, Pagès F. Rational bases for the use of the Immunoscore in routine clinical settings as a prognostic and predictive biomarker in cancer patients. Int Immunol. 2016;28(8):373–82. https://doi.org/10.1093/INTIMM/DXW021 DOI: https://doi.org/10.1093/intimm/dxw021

Pagès F, Mlecnik B, Marliot F, et al. International validation of the consensus Immunoscore for the classification of colon cancer: a prognos-tic and accuracy study. Lancet. 2018;391(10135):2128–39. https://doi.org/10.1016/S0140-6736(18)30789-X DOI: https://doi.org/10.1016/S0140-6736(18)30789-X

Bruni D, Angell HK, Galon J. The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer. 2020;20(11):662–80. https://doi.org/10.1038/s41568-020-0285-7 DOI: https://doi.org/10.1038/s41568-020-0285-7

Vesely MD, Kershaw MH, Schreiber RD, Smyth MJ. Natural innate and adaptive immunity to cancer. Ann Rev Immunol. 2011;29(1):235–71. https://doi.org/10.1146/annurev-immunol-031210-101324 DOI: https://doi.org/10.1146/annurev-immunol-031210-101324

Selvi I, Demirci U, Bozdogan N, Basar H. The prognostic effect of Immunoscore in patients with clear cell renal cell carcinoma: preliminary results. Int Urol Nephrol. 2020;52(1):21–34. https://doi.org/10.1007/S11255-019-02285-0 DOI: https://doi.org/10.1007/s11255-019-02285-0

Bankhead P, Loughrey MB, Fernández JA, et al. QuPath: open source software for digital pathology image analysis. Sci Rep. 2017;7(1):16878. https://doi.org/10.1038/S41598-017-17204-5 DOI: https://doi.org/10.1038/s41598-017-17204-5

Selvi I, Demirci U, Bozdogan N, Basar H. Does Immunoscore have a significant effect on survival for non-clear cell renal cell carcinoma as well as clear cell renal cell carcinoma? Int Urol Nephrol. 2021;53(6):1135–38. https://doi.org/10.1007/S11255-020-02766-7/METRICS DOI: https://doi.org/10.1007/s11255-020-02766-7

Guo C, Zhao H, Wang Y, et al. Prognostic value of the neo-Immunoscore in renal cell carcinoma. Front Oncol. 2019;9:439. https://doi.org/10.3389/FONC.2019.00439 DOI: https://doi.org/10.3389/fonc.2019.00439

Nakano O, Naito Y, Nagura H, et al. Proliferative activity of intratumoral CD8+ T-lymphocytes as a prognostic factor in human renal cell carcinoma: clinicopathologic demonstration of antitumor immunity. Cancer Res. 2001;61(13):5132–6.

Giraldo NA, Becht E, Pagès F, et al. Orchestration and prognostic significance of immune checkpoints in the microenvironment of primary and metastatic renal cell cancer. Clin Cancer Res. 2015;21(13):3031–40. https://doi.org/10.1158/1078-0432.CCR-14-2926 DOI: https://doi.org/10.1158/1078-0432.CCR-14-2926

Zhang S, Zhang E, Long J, et al. Immune infiltration in renal cell carcinoma. Cancer Sci. 2019;110(5):1564–72. https://doi.org/10.1111/CAS.13996 DOI: https://doi.org/10.1111/cas.13996

Junttila A, Väyrynen JP, Ahtiainen M, et al. Immune cell score, PD-L1 expression and prognosis in esophageal cancer. Acta Oncol. 2021;60(4):544–8. https://doi.org/10.1080/0284186X.2020.1868571 DOI: https://doi.org/10.1080/0284186X.2020.1868571

Junttila A, Helminen O, Väyrynen JP, et al. Immunophenotype based on inflammatory cells, PD-1/PD-L1 signalling pathway and M2 mac-rophages predicts survival in gastric cancer. Br J Cancer. 2020;123(11):1625–32. https://doi.org/10.1038/S41416-020-01053-7 DOI: https://doi.org/10.1038/s41416-020-01053-7

Vuong L, Kotecha RR, Voss MH, Hakimi AA. Tumor microenvironment dynamics in clear-cell renal cell carcinoma. Cancer Discov. 2019;9(10):1349–57. https://doi.org/10.1158/2159-8290.CD-19-0499 DOI: https://doi.org/10.1158/2159-8290.CD-19-0499

Kim MC, Jin Z, Kolb R, et al. Updates on immunotherapy and immune landscape in renal clear cell carcinoma. Cancers (Basel). 2021;13(22):5856. https://doi.org/10.3390/CANCERS13225856 DOI: https://doi.org/10.3390/cancers13225856

Additional Files

Published

2024-03-28

How to Cite

Åkerla, J., Helminen, O., Väyrynen, J. P., Parkkinen, A., Järvenpää, H., Böhm, J., … Seikkula, H. (2024). CD3+ and CD8+ T cell-based immune cell score as a prognostic factor in clear-cell renal cell carcinoma. Acta Oncologica, 63(1), 105–110. https://doi.org/10.2340/1651-226X.2024.19690