Skip to main content

Advertisement

SpringerLink
Log in

Construction and validation of a novel prognostic nomogram for patients with sarcomatoid renal cell carcinoma: a SEER-based study

  • Original Article
  • Published:
International Journal of Clinical Oncology Aims and scope Submit manuscript

Abstract

Objective

The only one established prognostic nomogram for patients with sarcomatoid renal cell carcinoma (sRCC) was based on a small sample-sized study without external validation, and a nomogram can be applied to western sRCC patients has not yet been developed. Therefore, our study aimed to construct and validate an effective nomogram to predict overall survival (OS) for these patients.

Methods

The independent predictors for OS were identified and the nomogram was constructed on the basis of a retrospective study of a training cohort consisted of 428 non-Hispanic white sRCC patients registered in the Surveillance, Epidemiology and End Results (SEER) database from January 2010 to December 2015. Then, the discriminative performance of the nomogram was assessed by the concordance index (C-index). OS calibrations of the nomogram were also performed by comparing the nomogram-predicted probability to the observed survival rate. Furthermore, our nomogram was externally validated using two independent cohorts consisted of 71 non-Hispanic black patients and 82 Hispanic patients, respectively.

Results

Age at diagnosis, T stage, N stage, bone metastases, liver metastases, lung metastases and nephrectomy were identified as independent predictors for OS. In the training cohort and two validation cohorts, the C-indexes of the nomogram were 0.737, 0.801 and 0.764, respectively. Besides, excellent agreements between the nomogram prediction and the actual observation were achieved in all cohorts.

Conclusions

The current study constructed and validated an effective prognostic nomogram for patients with sRCC, which can be used to perform accurate predictions of the 0.5-, 1-, and 2-year possibilities of OS.

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

Access this article

Log in via an institution

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

Similar content being viewed by others

References

  1. Ljungberg B, Albiges L, Abu-Ghanem Y et al (2019) European Association of Urology guidelines on renal cell carcinoma: the 2019 update. Eur Urol 76:151–156

    Article  Google Scholar 

  2. Delahunt B (1999) Sarcomatoid renal carcinoma: the final common dedifferentiation pathway of renal epithelial malignancies. Pathology 31(3):185–190

    Article  CAS  Google Scholar 

  3. Zhang BY, Thompson RH, Lohse CM (2015) A novel prognostic model for patients with sarcomatoid renal cell carcinoma. BJU Int 115(3):405–411

    Article  Google Scholar 

  4. Shuch B, Bratslavsky G, Shih J (2012) Impact of pathological tumour characteristics in patients with sarcomatoid renal cell carcinoma. BJU Int 109(11):1600–1606

    Article  Google Scholar 

  5. Shuch B, Pantuck AJ, Pouliot F (2011) Quality of pathological reporting for renal cell cancer: implications for systemic therapy, prognostication and surveillance. BJU Int 108(3):343–348

    Article  Google Scholar 

  6. Shuch B, Said J, La Rochelle JC (2009) Cytoreductive nephrectomy for kidney cancer with sarcomatoid histology—is up-front resection indicated and if not, is it avoidable? J Urol 182(5):2164–2171

    Article  Google Scholar 

  7. Hou G, Zheng Y, Wei D (2019) Development and validation of a SEER-based prognostic nomogram for patients with bone metastatic prostate cancer. Medicine (Baltimore) 98(39):e17197

    Article  Google Scholar 

  8. Wu S, Chen JN, Zhang QW (2018) A new metastatic lymph node classification-based survival predicting model in patients with small bowel adenocarcinoma: a derivation and validation study. EBioMedicine 32:134–141

    Article  Google Scholar 

  9. Zhang L, Dong D, Li H (2019) Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: a retrospective cohort study. EBioMedicine 40:327–335

    Article  Google Scholar 

  10. Wang Y, Li J, Xia Y (2013) Prognostic nomogram for intrahepatic cholangiocarcinoma after partial hepatectomy. J Clin Oncol 31(9):1188–1195

    Article  Google Scholar 

  11. Culp SH, Tannir NM, Abel EJ (2010) Can we better select patients with metastatic renal cell carcinoma for cytoreductive nephrectomy? Cancer 116(14):3378–3388

    Article  Google Scholar 

  12. Touijer K, Scardino PT (2009) Nomograms for staging, prognosis, and predicting treatment outcomes. Cancer 115(13 Suppl):3107–3111

    Article  Google Scholar 

  13. Gu L, Ma X, Li H (2016) Prognostic value of preoperative inflammatory response biomarkers in patients with sarcomatoid renal cell carcinoma and the establishment of a nomogram. Sci Rep 6:23846

    Article  CAS  Google Scholar 

  14. Siegel RL, Miller KD, Jemal A (2019) Cancer statistics, 2019. CA Cancer J Clin 69(1):7–34

    Article  Google Scholar 

  15. Harrell FJ, Lee KL, Mark DB (1996) Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 15(4):361–387

    Article  Google Scholar 

  16. Harrell FJ, Califf RM, Pryor DB (1982) Evaluating the yield of medical tests. JAMA 247(18):2543–2546

    Article  Google Scholar 

  17. Alevizakos M, Gaitanidis A, Nasioudis D (2019) Sarcomatoid renal cell carcinoma: population-based study of 879 patients. Clin Genitourin Cancer 17:e447–e453

    Article  Google Scholar 

  18. Heng DY, Wells JC, Rini BI (2014) Cytoreductive nephrectomy in patients with synchronous metastases from renal cell carcinoma: results from the International Metastatic Renal Cell Carcinoma Database Consortium. Eur Urol 66(4):704–710

    Article  Google Scholar 

  19. Merrill MM, Wood CG, Tannir NM (2015) Clinically nonmetastatic renal cell carcinoma with sarcomatoid dedifferentiation: natural history and outcomes after surgical resection with curative intent. Urol Oncol 33(4):121–166

    Article  Google Scholar 

  20. Haas NB, Lin X, Manola J (2012) A phase II trial of doxorubicin and gemcitabine in renal cell carcinoma with sarcomatoid features: ECOG 8802. Med Oncol 29(2):761–767

    Article  CAS  Google Scholar 

  21. Mouallem NE, Smith SC, Paul AK (2018) Sarcomatoid renal cell carcinoma: biology and treatment advances. Urol Oncol 36(6):265–271

    Article  Google Scholar 

  22. Hou G, Zheng Y, Zhang L (2019) Development and validation of a prognostic nomogram for patients with intravesical recurrence after radical nephroureterectomy for non-metastatic upper tract urothelial carcinoma. World J Urol. https://doi.org/10.1007/s00345-019-02985-3

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This study was supported by the Natural Science Foundation Program of Shaanxi Province (No. 2014JM4184), the Boost Program Research Project of Xijing Hospital (No. XJZT13Z05) and the Military Medical Innovation Project (No. 16CXZ023).

Author information

Author notes

  1. Guangdong Hou, Xi’an Li, Yu Zheng and Pengfei Liu contributed equally to this work.

Authors and Affiliations

  1. Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi’an, 710032, China

    Guangdong Hou, Xi’an Li, Yu Zheng, Pengfei Liu, Fei Yan, Dongen Ju, Geng Zhang, Wanxiang Zheng, Fuli Wang & Jianlin Yuan

  2. Assisted Reproduction Center, Northwest Women’s and Children’s Hospital, Xi’an, 710061, China

    Ming Gao

  3. Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, 710032, China

    Niuniu Hou

  4. St. George’s University School of Medicine, West Indies, Grenada

    Jiarui Yuan

Authors
  1. Guangdong Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xi’an Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yu Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pengfei Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fei Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Dongen Ju
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Geng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Wanxiang Zheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Ming Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Niuniu Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Jiarui Yuan
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Fuli Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Jianlin Yuan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Fuli Wang or Jianlin Yuan.

Ethics declarations

Conflict of interest

The authors declared no potential conflicts of interest with respect to the research, authorship, or publication of this article.

Ethical approval

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

Informed consent

The SEER database is an open database and information of patients was anonymous in the SEER database, so the current study do not require patients’ consent.

Additional information

Publisher's Note

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

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hou, G., Li, X., Zheng, Y. et al. Construction and validation of a novel prognostic nomogram for patients with sarcomatoid renal cell carcinoma: a SEER-based study. Int J Clin Oncol 25, 1356–1363 (2020). https://doi.org/10.1007/s10147-020-01681-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10147-020-01681-2

Keywords

Search

Navigation