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Data set for the reporting of lung cancer: recommendations from the International Collaboration on Cancer Reporting (ICCR)

  • Wendy A . Cooper
  • , Fleur Webster
  • , Kelly J. Butnor
  • , Fiorella Calabrese
  • , Teh-Ying Chou
  • , David M. Hwang
  • , Izidor Kern
  • , Sanjay Popat
  • , Lynette Sholl
  • , Yasushi Yatabe
  • , Andrew G. Nicholson
    • Royal Prince Alfred Hospital
    • The University of Sydney
    • International Collaboration on Cancer Reporting
    • University of Vermont Medical Center
    • University of Padova
    • Taipei Medical University Hospital
    • University of Toronto
    • University Clinic of Respiratory and Allergic Diseases, Golnik, Slovenia
    • Royal Marsden Hospital
    • Brigham and Women’s Hospital
    • Harvard Medical School
    • National Cancer Center Hospital, Tokyo
    • Royal Brompton Hospital

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    Lung cancer is the leading cause of cancer related deaths worldwide, although some patients with early-stage disease can be cured with surgical resection. Standardised reporting of all clinically relevant pathological parameters is essential for best patient care and is also important for ongoing data collection and refinement of important pathological features that impact patient prognosis, staging and clinical care. Using the established International Collaboration on Cancer Reporting (ICCR) procedure, a representative international expert panel of nine lung pathologists as well as an oncologist was convened. Essential core elements and suggested non-core elements were identified for inclusion in the resected lung cancer pathology data set based on predetermined levels of evidence as well as consensus expert opinion. A lung cancer histopathology reporting guide was developed that includes relevant clinical, macroscopic, microscopic and ancillary testing. Critical review and discussion of current evidence was incorporated into the new data set including changes from the 2021 World Health Organisation (WHO) Classification of Thoracic Tumours, fifth edition, new requirements for grading invasive non-mucinous adenocarcinomas, assessment of response to neoadjuvant therapy and requirements for molecular testing in early-stage resected lung carcinomas. This ICCR data set represents incorporation of all relevant parameters for histology reporting of lung cancer resection specimens. Routine use of this data set is recommended for all pathology reporting of resected lung cancer and it is freely available worldwide on the ICCR website (https://www.iccr-cancer.org/datasets/published-datasets/). Widespread implementation will help to ensure consistent and comprehensive pathology reporting and data collection essential for lung cancer patient care, clinical trials and other research.
    Original languageEnglish
    Pages (from-to)665-680
    Number of pages16
    JournalHistopathology
    Volume86
    Issue number5
    DOIs
    Publication statusPublished - Apr 2025

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • data set
    • guidelines
    • ICCR
    • lung cancer
    • protocol
    • structured report
    • synoptic report
    • cancer mortality
    • cancer patient
    • cancer surgery
    • clinical practice guideline
    • colloid carcinoma
    • consensus
    • drug therapy
    • etiology
    • histology
    • histopathology
    • human
    • lung carcinoma
    • malignant neoplasm
    • oncologist
    • pathologist
    • patient care
    • pneumonectomy
    • review
    • surgery
    • thoracic tumor

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