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Multiplex Immunofluorescence and Histopathology Dataset of Cell Cycle–Related Proteins in Renal Cell Carcinoma

Author

Listed:
  • Hazem Abdullah

    (School of Medicine, University of St Andrews, North Haugh, St Andrews KY16 9SX, UK)

  • In Hwa Um

    (School of Medicine, University of St Andrews, North Haugh, St Andrews KY16 9SX, UK)

  • Grant D. Stewart

    (Department of Surgery, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK)

  • Alexander Laird

    (Department of Urology, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK)

  • Kathryn Kirkwood

    (Department of Pathology, Western General Hospital, Crewe Road South, Edinburgh EH4 2XU, UK)

  • Chang Wook Jeong

    (Department of Urology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea)

  • Cheol Kwak

    (Department of Urology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea)

  • Kyung Chul Moon

    (Department of Pathology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea)

  • TranSORCE Team

    (Details on the Membership of the TranSORCE Team are provided in the Acknowledgments.)

  • Tim Eisen

    (Department of Oncology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0SR, UK)

  • Elena Frangou

    (Medical Research Council Clinical Trials Unit, University College London (UCL), Institute of Clinical Trials and Methodology, London WC1V 6LJ, UK)

  • Anne Warren

    (Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, University of Cambridge, Cambridge CB2 0QQ, UK)

  • Angela Meade

    (Medical Research Council Clinical Trials Unit, University College London (UCL), Institute of Clinical Trials and Methodology, London WC1V 6LJ, UK)

  • David J. Harrison

    (School of Medicine, University of St Andrews, North Haugh, St Andrews KY16 9SX, UK)

Abstract

Clear-cell renal cell carcinoma (ccRCC) accounts for the majority of kidney cancer diagnoses and exhibits widely variable clinical behaviour. The dataset described here was generated to support the discovery of robust biomarkers of tumour cell-cycle arrest and to inform the risk-stratified management of ccRCC. We assembled four independent cohorts including 480 patients from the UK arm of the SORCE adjuvant trial, 300 patients from a surgically treated series in Korea, 120 patients from a retrospective Scottish cohort, and a paired primary–metastatic cohort comprising 62 patients. Formalin-fixed paraffin-embedded nephrectomy specimens were processed for routine hematoxylin and eosin (H&E) histology, and for multiplex immunofluorescence (mIF). The mIF panels detect the cyclin-dependent kinase inhibitor p21 CDKN1a , the DNA replication licencing factor MCM2, endoglin/CD105, Lamin B1 and nuclear DNA (Hoechst). Whole-slide images (WSIs) were acquired at high resolution, and artificial-intelligence pipelines were used to segment nuclei, classify individual cells into arrested phenotypes, and calculate the fraction of cells. Accompanying metadata include demographics, tumour stage, grade, Leibovich score, treatment arm (sorafenib/placebo), relapse events, and disease-free survival. All images and derived tables are released under a CC0 licence via the BioImage Archive, ensuring unrestricted reuse. This multi-cohort dataset provides a rich resource for studying cell-cycle arrest and proliferation markers, training image-analysis algorithms, and developing prognostic signatures in RCC.

Suggested Citation

  • Hazem Abdullah & In Hwa Um & Grant D. Stewart & Alexander Laird & Kathryn Kirkwood & Chang Wook Jeong & Cheol Kwak & Kyung Chul Moon & TranSORCE Team & Tim Eisen & Elena Frangou & Anne Warren & Angela, 2026. "Multiplex Immunofluorescence and Histopathology Dataset of Cell Cycle–Related Proteins in Renal Cell Carcinoma," Data, MDPI, vol. 11(2), pages 1-10, February.
    • Handle: RePEc:gam:jdataj:v:11:y:2026:i:2:p:27-:d:1854102
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