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Histopathological tumour response scoring in resected pancreatic cancer following neoadjuvant therapy: international interobserver study (ISGPP-1)

  • Boris V. Janssen
  • , Stijn van Roessel
  • , International Study Group of Pancreatic Pathologists (ISGPP)
  • , Susan van Dieren
  • , Onno de Boer
  • , Volkan Adsay
  • , Olca Basturk
  • , Lodewijk Brosens
  • , Fiona Campbell
  • , Deyali Chatterjee
  • , Angela Chou
  • , Claudio Doglioni
  • , Irene Esposito
  • , Roger Feakins
  • , Talia L. Fuchs
  • , Noriyoshi Fukushima
  • , Anthony J. Gill
  • , Seung Mo Hong
  • , Ralph H. Hruban
  • , Jeffrey Kaplan
  • Alyssa Krasinkas, Claudio Luchini, Chanjuan Shi, Aatur Singhi, Elizabeth Thompson, Marie Louise F. Velthuysen, Marc G. Besselink, Joanne Verheij, Huamin Wang*, Caroline Verbeke*, Arantza Fariña*
*Corresponding author for this work
  • University of Amsterdam
  • Amsterdam UMC
  • Koc University
  • Memorial Sloan-Kettering Cancer Center
  • Utrecht University
  • Liverpool University Hospitals NHS Foundation Trust
  • University of Texas MD Anderson Cancer Center
  • Kolling Institute of Medical Research
  • Vita-Salute San Raffaele University
  • Heinrich Heine University Düsseldorf
  • Royal Free London NHS Foundation Trust
  • Jichi Medical University
  • University of Ulsan
  • Johns Hopkins School of Medicine
  • University of Colorado Denver
  • Emory University
  • University and Hospital Trust of Verona
  • Duke University
  • University of Pittsburgh School of Medicine
  • University of Oslo
  • Oslo University Hospital

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)
146 Downloads (Pure)

Abstract

BACKGROUND: Most tumour response scoring systems for resected pancreatic cancer after neoadjuvant therapy score tumour regression. However, whether treatment-induced changes, including tumour regression, can be identified reliably on haematoxylin and eosin-stained slides remains unclear. Moreover, no large study of the interobserver agreement of current tumour response scoring systems for pancreatic cancer exists. This study aimed to investigate whether gastrointestinal/pancreatic pathologists can reliably identify treatment effect on tumour by histology, and to determine the interobserver agreement for current tumour response scoring systems. METHODS: Overall, 23 gastrointestinal/pancreatic pathologists reviewed digital haematoxylin and eosin-stained slides of pancreatic cancer or treated tumour bed. The accuracy in identifying the treatment effect was investigated in 60 patients (30 treatment-naive, 30 after neoadjuvant therapy (NAT)). The interobserver agreement for the College of American Pathologists (CAP) and MD Anderson Cancer Center (MDACC) tumour response scoring systems was assessed in 50 patients using intraclass correlation coefficients (ICCs). An ICC value below 0.50 indicated poor reliability, 0.50 or more and less than 0.75 indicated moderate reliability, 0.75 or more and below 0.90 indicated good reliability, and above 0.90 indicated excellent reliability. RESULTS: The sensitivity and specificity for identifying NAT effect were 76.2 and 49.0 per cent respectively. After NAT in 50 patients, ICC values for both tumour response scoring systems were moderate: 0.66 for CAP and 0.71 for MDACC. CONCLUSION: Identification of the effect of NAT in resected pancreatic cancer proved unreliable, and interobserver agreement for the current tumour response scoring systems was suboptimal. These findings support the recently published International Study Group of Pancreatic Pathologists recommendations to score residual tumour burden rather than tumour regression after NAT.

Original languageEnglish
Pages (from-to)67-75
Number of pages9
JournalBritish Journal of Surgery
Volume110
Issue number1
DOIs
Publication statusPublished - 1 Jan 2023

Bibliographical note

Funding Information:
H.W., C.V., and A.F. contributed equally to this work.

Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press on behalf of BJS Society Ltd.

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

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