Datasets

Renal Epithelial Neoplasms

Scope

This dataset has been developed for excision specimens of the kidney for neoplasms of renal tubular origin. Urothelial carcinoma arising from the upper renal tract, Wilms tumours and other nephroblastic and mesenchymal tumours are not included. Metastatic tumours are excluded from this dataset. This dataset is not to be used for clearly benign tumours, such as papillary adenoma and oncocytoma. However other neoplasms of uncertain behaviour (e.g., clear cell papillary tumours, other oncocytic tumours) may be reported using this dataset.

Biopsy specimens are not included – a separate ICCR dataset is available and should be used for these cases.

This dataset is designed for the reporting of a single laterality of specimen i.e., left or right. If both lateralities are submitted then separate datasets should be completed.

Publication History

2nd edition – May 2025

Updated following the publication of the 2022 World Health Organization (WHO) Classification of Urinary and Male Genital Tumours, 5th edition.

This 2nd edition dataset was developed with the kind support of the International Society of Urological Pathology (ISUP).

SUMMARY OF CHANGES

• Renamed title of guide to ‘Renal epithelial neoplasms’.
• Revised guide to harmonise with ICCR style for element titles and value list.
• Revised scope for clarity and to harmonise with ICCR style.
• Added a new element ‘Block identification key’.
• Renamed ‘Sarcomatoid morphology’ to ‘Sarcomatoid features’.
• Renamed ‘Rhabdoid morphology’ to ‘Rhabdoid features’.
• Updated the ‘Necrosis’ element.
• Updated the ‘Extent of invasion’ element.
• Renamed ‘Lymphovascular invasion’ to ‘Lymphovascular invasion in adjacent kidney’.
• Updated the ‘Ancillary studies’ element, including adding ‘Representative blocks for ancillary studies’.
• Updated the ‘Pathological staging’ element to UICC TNM8 staging.
• Other minor updates to elements were also included.
• Revised all notes, including incorporation of the 2022 World Health Organization Classification of Urinary and Male Genital Tumours, 5th edition.

  • To reference this dataset please use the following citation: Williamson S, Moch H, Browning L, Brunelli M, Gorban G, Hirsch M, Lopez-Beltran A, Mohanty SK, Ohashi R, Rogers C, Saleeb RM, Schmidinger M, Verkarre V, Srigley JR (2025). Renal Epithelial Neoplasms Histopathology Reporting Guide. 2nd edition. International Collaboration on Cancer Reporting; Sydney, Australia. ISBN: 978-1-922324-62-7.

Minor update to the 1st edition – Version 1.1 July 2018

1st edition – July 2017

  • To reference this dataset please use the following citation: Delahunt B, Srigley JR, Amin MB, Billis A, Camparo P, Evans AJ,  Fleming S, Griffiths D, Lopez-Beltran A, Martignoni G, Moch H, Nacey JN, Zhou M (2017). Invasive Carcinoma of Renal Tubular Origin Histopathology Reporting Guide. 1st edition. International Collaboration on Cancer Reporting; Sydney, Australia. ISBN: 978-1-925687-00-2.
  • Read more on the Invasive carcinoma of renal tubular origin dataset from the journal article written by the dataset authors: Dataset for the reporting of carcinoma of renal tubular origin: recommendations from the International Collaboration on Cancer Reporting (ICCR). Delahunt B, Srigley JR, Judge MJ, Amin MB, Billis A, Camparo P, Evans AJ, Fleming S, Griffiths D, Lopez-Beltran A, Martignoni G, Moch H, Nacey JN, Zhou M. Histopathology. 2019 Feb;74(3):377-390. doi: 10.1111/his.13754.

Expert Committee

The 2nd edition of the dataset for Renal epithelial neoplasms was developed by the following international team:

  • Co-chair – Sean Williamson, USA
  • Co-chair – Holger Moch, Switzerland
  • Series Champion and ICCR representative – John R Srigley, Canada

Domain experts:

  • Lisa Browning, UK
  • Matteo Brunelli, Italy
  • Nina Gorban, Russia
  • Michelle Hirsch, USA
  • Antonio Lopez-Beltran, Portugal
  • Sambit Mohanty, India
  • Riuko Ohash, Japan
  • Craig Rogers, USA
  • Rola Saleeb, Canada
  • Manuela Schmidinger, Austria
  • Virginie Verkarre, France

Authors of previous edition of this dataset are available here.

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