Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.

    I agree
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
Oncology Letters
Join Editorial Board Propose a Special Issue
Print ISSN: 1792-1074 Online ISSN: 1792-1082
Journal Cover
April-2025 Volume 29 Issue 4

Full Size Image

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
April-2025 Volume 29 Issue 4

Full Size Image

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML
Article Open Access

Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations

  • Authors:
    • Hsiang Ying Lee
    • Wei-Ming Li
    • Hsin-Chih Yeh
    • Wen-Jeng Wu
    • Ching-Chia Li
    • Hung-Lung Ke
    • Yen-Chun Wang
  • View Affiliations / Copyright

    Affiliations: Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung 807, Taiwan, R.O.C.
    Copyright: © Lee et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 200
    |
    Published online on: February 25, 2025
       https://doi.org/10.3892/ol.2025.14946
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:



Abstract

Renal function after radical nephroureterectomy (RNU) in patients with advanced upper tract urothelial carcinoma (UTUC) is an indicator of eligibility for postoperative chemotherapy. The present study aimed to utilize machine learning for predicting renal function status after RNU and to investigate the contribution of several features to this prediction. The present retrospective study included 764 medical records of patients with non‑metastatic UTUC who received RNU from 2008 to 2022. The records were divided into training (n=534) and testing (n=230) datasets. Several demographic and clinicopathological parameters were collected for analysis. PyCaret was utilized for data processing, model establishment and comparison, while SHapley Additive exPlanations values were adopted to assess the contribution of each variable to the predictive performance of the model. The results demonstrated that the Random Forest Regressor model had improved accuracy in predicting postoperative renal function compared with other algorithms. In both the estimated glomerular filtration rate (eGFR) and chronic kidney disease outcome, preoperative renal function had the most marked contribution to postoperative renal function. Additionally, the Charlson Comorbidity Index (CCI), body mass index (BMI) and tumor size were highly associated with renal function after RNU, and hydronephrosis was another main factor for predicting postoperative eGFR. The retrospective design was a limitation of the present study. The results demonstrated that important predictors, including preoperative eGFR, tumor size, BMI, CCI and hydronephrosis, were associated with postoperative renal function. To conclude, using a machine learning prediction model may be used in the future to determine appropriate therapeutic strategies and inform the timing of perioperative systemic chemotherapy, in particular perioperative systemic chemotherapy, for advanced UTUC.
View Figures

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

View References

1 

Han J, Xian Z, Zhang Y, Liu J and Liang A: Systematic overview of aristolochic acids: Nephrotoxicity, carcinogenicity, and underlying mechanisms. Front Pharmacol. 10:6482019. View Article : Google Scholar : PubMed/NCBI

2 

Chang YH, Hsu WL, Lee YK, Chiang CJ, Yang YW, You SL, Chen YC and Lai TS: Trends and sex-specific incidence of upper urinary tract cancer in Taiwan: A birth cohort study. Cancer Med. 12:15350–15357. 2023. View Article : Google Scholar : PubMed/NCBI

3 

Yeh HC, Chang CH, Fang JK, Chen IHA, Lin JT, Hong JH, Huang CY, Wang SS, Chen CS, Lo CW, et al: The value of preoperative local symptoms in prognosis of upper tract urothelial carcinoma after radical nephroureterectomy: A retrospective, multicenter cohort study. Front Oncol. 12:8728492022. View Article : Google Scholar : PubMed/NCBI

4 

Chen IA, Chang CH, Huang CP, Wu WJ, Li CC, Chen CH, Huang CY, Lo CW, Yu CC, Tsai CY, et al: Factors predicting oncological outcomes of radical nephroureterectomy for upper tract urothelial carcinoma in Taiwan. Front Oncol. 11:7665762022. View Article : Google Scholar : PubMed/NCBI

5 

Margulis V, Shariat SF, Matin SF, Kamat AM, Zigeuner R, Kikuchi E, Lotan Y, Weizer A, Raman JD and Wood CG; Upper Tract Urothelial Carcinoma CollaborationThe Upper Tract Urothelial Carcinoma Collaboration, : Outcomes of radical nephroureterectomy: A series from the upper tract urothelial carcinoma collaboration. Cancer. 115:1224–1233. 2009. View Article : Google Scholar : PubMed/NCBI

6 

Chang LW, Hung SC, Chen CS, Li JR, Chiu KY, Wang SS, Yang CK, Lu K, Chen CC, Wang SC, et al: Geriatric nutritional risk index as a prognostic marker for patients with upper tract urothelial carcinoma receiving radical nephroureterectomy. Sci Rep. 13:45542023. View Article : Google Scholar : PubMed/NCBI

7 

Abouassaly R, Alibhai SMH, Shah N, Timilshina N, Fleshner N and Finelli A: Troubling outcomes from population-level analysis of surgery for upper tract urothelial carcinoma. Urology. 76:895–901. 2010. View Article : Google Scholar : PubMed/NCBI

8 

Birtle A, Johnson M, Chester J, Jones R, Dolling D, Bryan RT, Harris C, Winterbottom A, Blacker A, Catto JWF, et al: Adjuvant chemotherapy in upper tract urothelial carcinoma (the POUT trial): A phase 3, open-label, randomised controlled trial. Lancet. 395:1268–1277. 2020. View Article : Google Scholar : PubMed/NCBI

9 

Leow JJ, Chong YL, Chang SL, Valderrama BP, Powles T and Bellmunt J: Neoadjuvant and adjuvant chemotherapy for upper tract urothelial carcinoma: A 2020 systematic review and meta-analysis, and future perspectives on systemic therapy. Eur Urol. 79:635–654. 2021. View Article : Google Scholar : PubMed/NCBI

10 

Petros FG, Qiao W, Singla N, Clinton TN, Robyak H, Raman JD, Margulis V and Matin SF: Preoperative multiplex nomogram for prediction of high-risk nonorgan-confined upper-tract urothelial carcinoma. Urol Oncol. 37:292.e1–292.e9. 2019. View Article : Google Scholar : PubMed/NCBI

11 

Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF III, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, et al: A new equation to estimate glomerular filtration rate. Ann Intern Med. 150:604–612. 2009. View Article : Google Scholar : PubMed/NCBI

12 

Webster AC, Nagler EV, Morton RL and Masson P: Chronic kidney disease. Lancet. 389:1238–1252. 2017. View Article : Google Scholar : PubMed/NCBI

13 

Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Work Group: KDIGO clinical practice guideline for the diagnosis, evaluation, prevention, and treatment of chronic kidney disease-mineral and bone disorder (CKD-MBD). Kidney Int Suppl. 76 (Suppl 113):S1–S130. 2009.

14 

Ray S: ‘A quick review of machine learning algorithms’. 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon); Faridabad, India: pp. 35–39. 2019

15 

Favaretto RL, Shariat SF, Savage C, Godoy G, Chade DC, Kaag M, Bochner BH, Coleman J and Dalbagni G: Combining imaging and ureteroscopy variables in a preoperative multivariable model for prediction of muscle-invasive and non-organ confined disease in patients with upper tract urothelial carcinoma. BJU Int. 109:77–82. 2012. View Article : Google Scholar : PubMed/NCBI

16 

Qi Y: Random forest for bioinformatics. Zhang C and Ma Y: Ensemble Machine Learning. Springer; New York, NY: pp. 307–323. 2012

17 

Smith PF, Ganesh S and Liu P: A comparison of random forest regression and multiple linear regression for prediction in neuroscience. J Neurosci Methods. 220:85–91. 2013. View Article : Google Scholar : PubMed/NCBI

18 

Tafuri A, Marchioni M, Cerrato C, Mari A, Tellini R, Odorizzi K, Veccia A, Amparore D, Shakir A, Carbonara U, et al: Changes in renal function after nephroureterectomy for upper urinary tract carcinoma: Analysis of a large multicenter cohort (radical nephroureterectomy outcomes (RaNeO) research consortium). World J Urol. 40:2771–2779. 2022. View Article : Google Scholar : PubMed/NCBI

19 

Kaag M, Trost L, Thompson RH, Favaretto R, Elliott V, Shariat SF, Maschino A, Vertosick E, Raman JD and Dalbagni G: Preoperative predictors of renal function decline after radical nephroureterectomy for upper tract urothelial carcinoma. BJU Int. 114:674–679. 2014. View Article : Google Scholar : PubMed/NCBI

20 

Rodríguez Faba O, Palou J, Breda A, Maroto P, Fernández Gómez JM, Wong A and Villavicencio H: Predictive factors for impaired renal function following nephroureterectomy in upper urinary tract urothelial cell carcinoma. Urol Int. 92:169–173. 2014. View Article : Google Scholar : PubMed/NCBI

21 

Song W, Sung HH, Han DH, Jeong BC, Seo SI, Jeon SS, Lee HM, Choi HY and Jeon HG: The effect of contralateral kidney volume on renal function after radical nephroureterectomy: Implications for eligibility for neoadjuvant chemotherapy for upper tract urothelial cancer. Urol Oncol. 35:114.e1–114.e7. 2017. View Article : Google Scholar : PubMed/NCBI

22 

Yun HR, Kim H, Park JT, Chang TI, Yoo TH, Kang SW, Choi KH, Sung S, Kim SW, Lee J, et al: Obesity, metabolic abnormality, and progression of CKD. Am J Kidney Dis. 72:400–410. 2018. View Article : Google Scholar : PubMed/NCBI

23 

Madero M, Katz R, Murphy R, Newman A, Patel K, Ix J, Peralta C, Satterfield S, Fried L, Shlipak M and Sarnak M: Comparison between different measures of body fat with kidney function decline and incident CKD. Clin J Am Soc Nephrol. 12:893–903. 2017. View Article : Google Scholar : PubMed/NCBI

24 

Kanno T, Kobori G, Saito R, Ito K, Nakagawa H, Takahashi T, Koterazawa S, Takaoka N, Somiya S, Haitani T, et al: Hydronephrosis severity as a predictor of postoperative renal function decline following laparoscopic radical nephroureterectomy. Int J Clin Oncol. 29:464–472. 2024. View Article : Google Scholar : PubMed/NCBI

25 

Singla N, Hutchinson R, Haddad A, Sagalowsky A, Lotan Y and Margulis V: Preoperative hydronephrosis is associated with less decline in renal function after radical nephroureterectomy for upper tract urothelial carcinoma. Can J Urol. 23:8334–8341. 2016.PubMed/NCBI

26 

Fang D, Zhang Q, Li X, Qian C, Xiong G, Zhang L, Chen X, Zhang X, Yu W, He Z and Zhou L: Nomogram predicting renal insufficiency after nephroureterectomy for upper tract urothelial carcinoma in the Chinese population: Exclusion of ineligible candidates for adjuvant chemotherapy. Biomed Res Int. 2014:5291862014. View Article : Google Scholar : PubMed/NCBI

27 

Hashimoto T, Ohno Y, Nakashima J, Gondo T, Nakagami Y, Namiki K, Horiguchi Y, Yoshioka K, Ohori M and Tachibana M: Prediction of renal function after nephroureterectomy in patients with upper tract urothelial carcinoma. Jpn J Clin Oncol. 45:1064–1068. 2015. View Article : Google Scholar : PubMed/NCBI

28 

Hensley PJ, Labbate C, Zganjar A, Howard J, Huelster H, Durdin T, Pham J, Xiao L, Pallauf M, Lombardo K, et al: Development and validation of a multivariable nomogram predictive of post-nephroureterectomy renal function. Eur Urol Oncol. 7:1313–1319. 2024. View Article : Google Scholar : PubMed/NCBI

29 

Liu J, Wu P, Lai S, Wang J, Hou H and Zhang Y: Prognostic models for upper urinary tract urothelial carcinoma patients after radical nephroureterectomy based on a novel systemic immune-inflammation score with machine learning. BMC Cancer. 23:5742023. View Article : Google Scholar : PubMed/NCBI

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Lee H, Li W, Yeh H, Wu W, Li C, Ke H and Wang Y: Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations. Oncol Lett 29: 200, 2025.
APA
Lee, H., Li, W., Yeh, H., Wu, W., Li, C., Ke, H., & Wang, Y. (2025). Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations. Oncology Letters, 29, 200. https://doi.org/10.3892/ol.2025.14946
MLA
Lee, H., Li, W., Yeh, H., Wu, W., Li, C., Ke, H., Wang, Y."Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations". Oncology Letters 29.4 (2025): 200.
Chicago
Lee, H., Li, W., Yeh, H., Wu, W., Li, C., Ke, H., Wang, Y."Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations". Oncology Letters 29, no. 4 (2025): 200. https://doi.org/10.3892/ol.2025.14946
Copy and paste a formatted citation
x
Spandidos Publications style
Lee H, Li W, Yeh H, Wu W, Li C, Ke H and Wang Y: Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations. Oncol Lett 29: 200, 2025.
APA
Lee, H., Li, W., Yeh, H., Wu, W., Li, C., Ke, H., & Wang, Y. (2025). Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations. Oncology Letters, 29, 200. https://doi.org/10.3892/ol.2025.14946
MLA
Lee, H., Li, W., Yeh, H., Wu, W., Li, C., Ke, H., Wang, Y."Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations". Oncology Letters 29.4 (2025): 200.
Chicago
Lee, H., Li, W., Yeh, H., Wu, W., Li, C., Ke, H., Wang, Y."Prediction of post‑nephroureterectomy renal function in non‑dialysis upper tract urothelial carcinoma using machine learning with PyCaret and SHAP explanations". Oncology Letters 29, no. 4 (2025): 200. https://doi.org/10.3892/ol.2025.14946
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team