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Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors

  • Authors:
    • Adrián A. Negreros-Osuna
    • Diego A. Ramírez‑Mendoza
    • Claudio Casas-Murillo
    • Abraham Guerra‑Cepeda
    • David Hernández‑Barajas
    • Guillermo Elizondo-Riojas
  • View Affiliations / Copyright

    Affiliations: Department of Radiology, School of Medicine and University Hospital ‘Dr. José Eleuterio González’, Autonomous University of Nuevo Leon, Monterrey, NL 64460, México, Department of Radiology, School of Medicine and University Hospital ‘Dr. José Eleuterio González’, Autonomous University of Nuevo Leon, Monterrey, NL 64460, México, Department of Oncology, School of Medicine and University Hospital ‘Dr. José Eleuterio González’, Autonomous University of Nuevo Leon, Monterrey, NL 64460, México
    Copyright: © Negreros-Osuna et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 446
    |
    Published online on: October 26, 2022
       https://doi.org/10.3892/ol.2022.13566
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Abstract

Renal cancer has a global incidence and mortality of 2.2 and 1.8%, respectively. Up to 30% of these patients are intrinsically resistant to tyrosine kinase inhibitors (TKI). The National Comprehensive Cancer Network guidelines do not include any predictive factors regarding response to systemic therapy with TKI in recurrent and advanced diseases. The present study aimed to explore whether a model based on radiomics could predict treatment response in patients with advanced kidney cancer treated with TKIs. The current study included 62 patients with advanced kidney cancer (stages 3 and 4) that underwent a CT scan in the arterial phase from March 2016 to November 2020. Texture analysis was run on the largest cross‑sectional area of the primary tumor from each CT scan. A total of three different models were built from radiomics features and clinical data to analyze them by logistic regression and determine whether they correlated with the response to TKI. A receiver operating characteristic curve analysis was performed in each model to calculate the area under the curve (AUC) and the 95% confidence interval (CI). Significant radiomics features and clinical variables were identified and then a clinical model was created (AUC=0.90; sensitivity 75%; specificity 82.35%; CI 95%, 0.78‑1.00), a radiomic model (AUC=0.66; sensitivity 16.67%; specificity 89.47%, CI 95%, 0.45‑0.87) and a combined model (AUC=0.94; sensitivity 83.33%; specificity 94.12%; CI 95%, 0.84‑1.00). Overall, models based on clinical data and radiomics could anticipate response to systemic therapy with TKI in patients with advanced kidney cancer.
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1 

World Health Organization (WHO), . Cancer Today: GLOBOCAN 2020. International Agency for Research on Cancer. WHO; Geneva, Switzerland: 2020, https://gco.iarc.fr/today/online-analysis-pieJanuary 05–2022

2 

National Cancer Institute (NCI), . Cancer Stat Facts: Kidney and Renal Pelvis Cancer. Surveilance, Epidemiology and End Results Program. NCI; https://seer.cancer.gov/statfacts/html/kidrp.htmlJanuary 05–2022

3 

Pal S, Gong J, Mhatre SK, Lin SW, Surinach A, Ogale S, Vohra R, Wallen H and George D: Real-world treatment patterns and adverse events in metastatic renal cell carcinoma from a large US claims database. BMC Cancer. 19:5482019. View Article : Google Scholar : PubMed/NCBI

4 

Choueiri TK and Motzer RJ: Systemic therapy for metastatic renal-cell carcinoma. N Engl J Med. 376:354–366. 2017. View Article : Google Scholar : PubMed/NCBI

5 

NCCN, . Kidney Cancer version 3.2023, 2022. https://www.nccn.org/professionals/physician_gls/pdf/kidney.pdfOctober 5–2022

6 

Escudier B, Porta C, Schmidinger M, Rioux-Leclercq N, Bex A, Khoo V, Grünwald V, Gillessen S and Horwich A: Renal cell carcinoma: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 30:706–720. 2019. View Article : Google Scholar : PubMed/NCBI

7 

Morais C: Sunitinib resistance in renal cell carcinoma. J Kidney Cancer VHL. 1:1–11. 2014. View Article : Google Scholar : PubMed/NCBI

8 

Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019. View Article : Google Scholar : PubMed/NCBI

9 

Motzer RJ, Hutson TE, Tomczak P, Michaelson MD, Bukowski RM, Rixe O, Oudard S, Negrier S, Szczylik C, Kim ST, et al: Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Eng J Med. 356:115–124. 2007. View Article : Google Scholar : PubMed/NCBI

10 

Sternberg CN, Davis ID, Mardiak J, Szczylik C, Lee E, Wagstaff J, Barrios CH, Salman P, Gladkov OA, Kavina A, et al: Pazopanib in locally advanced or metastatic renal cell carcinoma: Results of a randomized phase III trial. J Clin Oncol. 28:1061–1068. 2010. View Article : Google Scholar : PubMed/NCBI

11 

Motzer RJ, Hutson TE, Cella D, Reeves J, Hawkins R, Guo J, Nathan P, Staehler M, de Souza P, Merchan JR, et al: Pazopanib versus sunitinib in metastatic renal-cell carcinoma. N Eng J Med. 369:722–731. 2013. View Article : Google Scholar : PubMed/NCBI

12 

Haralick RM, Shanmugam K and Dinstein I: Textural features for image classification. IEEE Trans Syst Man Cybern SMC. 3:610–621. 1973. View Article : Google Scholar

13 

Ganeshan B, Miles KA, Young RCD and Chatwin CR: In search of biologic correlates for liver texture on portal-phase CT. Acad Radiol. 14:1058–1068. 2007. View Article : Google Scholar : PubMed/NCBI

14 

Ng F, Ganeshan B, Kozarski R, Miles KA and Goh V: Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: Contrast-enhanced CT texture as a biomarker of 5-year survival. Radiology. 266:177–184. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Negreros-Osuna AA, Parakh A, Corcoran RB, Pourvaziri A, Kambadakone A, Ryan DP and Sahani DV: Radiomics texture features in advanced colorectal cancer: Correlation with BRAF Mutation and 5-year overall survival. Radiol Imaging Cancer. 2:e1900842020. View Article : Google Scholar : PubMed/NCBI

16 

Yip C, Landau D, Kozarski R, Ganeshan B, Thomas R, Michaelidou A and Goh V: Primary esophageal cancer: Heterogeneity as potential prognostic biomarker in patients treated with definitive chemotherapy and radiation therapy. Radiology. 270:141–148. 2014. View Article : Google Scholar : PubMed/NCBI

17 

Ganeshan B, Abaleke S, Young RCD, Chatwin CR and Miles KA: Texture analysis of non-small cell lung cancer on unenhanced computed tomography: Initial evidence for a relationship with tumour glucose metabolism and stage. Cancer Imaging. 10:137–143. 2010. View Article : Google Scholar : PubMed/NCBI

18 

Smith AD, Gray MR, del Campo SM, Shlapak D, Ganeshan B, Zhang X and Carson WE III: Predicting overall survival in patients with metastatic melanoma on antiangiogenic therapy and RECIST stable disease on initial posttherapy images using CT texture analysis. Am J Roentgenol. 205:W283–W293. 2015. View Article : Google Scholar : PubMed/NCBI

19 

Deng Y, Soule E, Samuel A, Shah S, Cui E, Asare-Sawiri M, Sundaram C, Lall C and Sandrasegaran K: CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade. Eur Radiol. 29:6922–6929. 2019. View Article : Google Scholar : PubMed/NCBI

20 

Haider MA, Vosough A, Khalvati F, Kiss A, Ganeshan B and Bjarnason GA: CT texture analysis: A potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib. Cancer Imaging. 17:42017. View Article : Google Scholar : PubMed/NCBI

21 

Nioche C, Orlhac F, Boughdad S, Reuzé S, Goya-Outi J, Robert C, Pellot-Barakat C, Soussan M, Frouin F and Buvat I: LIFEx: A freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Res. 78:4786–4789. 2018. View Article : Google Scholar : PubMed/NCBI

22 

Vittinghoff E, Glidden DV, Shiboski SC and McCulloch CE: Predictor selection. Regression methods in biostatistics: Linear, logistic, survival, and repeated measures models. 1st ed. Dietz K, Gail M, Krickeberg K, Samet J and Tsiatis A: Springer; New York: pp. 133–156. 2005

23 

Harada K, Nozawa M, Uemura M, Tatsugami K, Osawa T, Yamana K, Kimura G, Fujisawa M, Nonomura N, Eto M, et al: Treatment patterns and outcomes in patients with unresectable or metastatic renal cell carcinoma in Japan. Int J Urol. 26:202–210. 2019. View Article : Google Scholar : PubMed/NCBI

24 

Goh V, Ganeshan B, Nathan P, Juttla JK, Vinayan A and Miles KA: Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker. Radiology. 261:165–171. 2011. View Article : Google Scholar : PubMed/NCBI

25 

Hutson TE, Liu FX, Dieyi C, Kim R, Krulewicz S, Kasturi V and Bhanegaonkar A: Effects of early vs delayed progression on clinical and economic outcomes in patients with metastatic renal cell carcinoma treated with tyrosine kinase inhibitors as first-line therapy: Results from the IMPACT RCC claims data analysis. J Manag Care Spec Pharm. 27:1171–1181. 2021.PubMed/NCBI

26 

Ji Z, Cui Y, Peng Z, Gong J, Zhu H, Zhang X, Li J, Lu M, Lu Z, Shen L and Sun YS: Use of radiomics to predict response to immunotherapy of malignant tumors of the digestive system. Med Sci Monit. 26:e9246712020. View Article : Google Scholar : PubMed/NCBI

27 

Yang B, Zhou L, Zhong J, Lv T, Li A, Ma L, Zhong J, Yin S, Huang L, Zhou C, et al: Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer. Respir Res. 22:1892021. View Article : Google Scholar : PubMed/NCBI

28 

Park KJ, Lee JL, Yoon SK, Heo C, Park BW and Kim JK: Radiomics-based prediction model for outcomes of PD-1/PD-L1 immunotherapy in metastatic urothelial carcinoma. Eur Radiol. 30:5392–5403. 2020. View Article : Google Scholar : PubMed/NCBI

29 

Zhang H, Yin F, Chen M, Qi A, Lai Z, Yang L and Wen G: A reliable prediction model for renal cell carcinoma subtype based on radiomic features from 3D multiphase enhanced CT images. J Oncol. 2021:65952122021.PubMed/NCBI

30 

Nazari M, Shiri I and Zaidi H: Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients. Comput Biol Med. 129:1041352021. View Article : Google Scholar : PubMed/NCBI

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Copy and paste a formatted citation
Spandidos Publications style
Negreros-Osuna AA, Ramírez‑Mendoza DA, Casas-Murillo C, Guerra‑Cepeda A, Hernández‑Barajas D and Elizondo-Riojas G: Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors. Oncol Lett 24: 446, 2022.
APA
Negreros-Osuna, A.A., Ramírez‑Mendoza, D.A., Casas-Murillo, C., Guerra‑Cepeda, A., Hernández‑Barajas, D., & Elizondo-Riojas, G. (2022). Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors. Oncology Letters, 24, 446. https://doi.org/10.3892/ol.2022.13566
MLA
Negreros-Osuna, A. A., Ramírez‑Mendoza, D. A., Casas-Murillo, C., Guerra‑Cepeda, A., Hernández‑Barajas, D., Elizondo-Riojas, G."Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors". Oncology Letters 24.6 (2022): 446.
Chicago
Negreros-Osuna, A. A., Ramírez‑Mendoza, D. A., Casas-Murillo, C., Guerra‑Cepeda, A., Hernández‑Barajas, D., Elizondo-Riojas, G."Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors". Oncology Letters 24, no. 6 (2022): 446. https://doi.org/10.3892/ol.2022.13566
Copy and paste a formatted citation
x
Spandidos Publications style
Negreros-Osuna AA, Ramírez‑Mendoza DA, Casas-Murillo C, Guerra‑Cepeda A, Hernández‑Barajas D and Elizondo-Riojas G: Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors. Oncol Lett 24: 446, 2022.
APA
Negreros-Osuna, A.A., Ramírez‑Mendoza, D.A., Casas-Murillo, C., Guerra‑Cepeda, A., Hernández‑Barajas, D., & Elizondo-Riojas, G. (2022). Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors. Oncology Letters, 24, 446. https://doi.org/10.3892/ol.2022.13566
MLA
Negreros-Osuna, A. A., Ramírez‑Mendoza, D. A., Casas-Murillo, C., Guerra‑Cepeda, A., Hernández‑Barajas, D., Elizondo-Riojas, G."Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors". Oncology Letters 24.6 (2022): 446.
Chicago
Negreros-Osuna, A. A., Ramírez‑Mendoza, D. A., Casas-Murillo, C., Guerra‑Cepeda, A., Hernández‑Barajas, D., Elizondo-Riojas, G."Clinical‑radiomic model in advanced kidney cancer predicts response to tyrosine kinase inhibitors". Oncology Letters 24, no. 6 (2022): 446. https://doi.org/10.3892/ol.2022.13566
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