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Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms

Author

Listed:
  • Antonio Agostini

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Geny Piro

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Frediano Inzani

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS)

  • Giuseppe Quero

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Annachiara Esposito

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Alessia Caggiano

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Lorenzo Priori

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Alberto Larghi

    (Catholic University)

  • Sergio Alfieri

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Raffaella Casolino

    (University of Glasgow, Garscube Estate)

  • Giulia Scaglione

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS)

  • Vincenzo Tondolo

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS)

  • Giovanni Cammarota

    (Università Cattolica del Sacro Cuore
    Gastroenterology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS)

  • Gianluca Ianiro

    (Università Cattolica del Sacro Cuore
    Gastroenterology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS)

  • Vincenzo Corbo

    (University of Verona)

  • Andrew V. Biankin

    (University of Glasgow, Garscube Estate
    Glasgow Royal Infirmary
    University of New South Wales)

  • Giampaolo Tortora

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

  • Carmine Carbone

    (Fondazione Policlinico Universitario Agostino Gemelli IRCCS
    Catholic University of the Sacred Heart)

Abstract

The existing Intraductal Papillary Mucinous Neoplasm (IPMN) risk stratification relies on clinical and histological factors, resulting in inaccuracies and leading to suboptimal treatment. This is due to the lack of appropriate molecular markers that can guide patients toward the best therapeutic options. Here, we assess and confirm subtype-specific markers for IPMN across two independent cohorts of patients using two Spatial Transcriptomics (ST) technologies. Specifically, we identify HOXB3 and ZNF117 as markers for Low-Grade Dysplasia, SPDEF and gastric neck cell markers in borderline cases, and NKX6-2 and gastric isthmus cell markers in High-Grade-Dysplasia Gastric IPMN, highlighting the role of TNFα and MYC activation in IPMN progression and the role of NKX6-2 in the specific Gastric IPMN progression. In conclusion, our work provides a step forward in understanding the gene expression landscapes of IPMN and the critical transcriptional networks related to PDAC progression.

Suggested Citation

  • Antonio Agostini & Geny Piro & Frediano Inzani & Giuseppe Quero & Annachiara Esposito & Alessia Caggiano & Lorenzo Priori & Alberto Larghi & Sergio Alfieri & Raffaella Casolino & Giulia Scaglione & Vi, 2024. "Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-46994-2
    DOI: 10.1038/s41467-024-46994-2
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    References listed on IDEAS

    as
    1. Wei Liu & Xu Liao & Ziye Luo & Yi Yang & Mai Chan Lau & Yuling Jiao & Xingjie Shi & Weiwei Zhai & Hongkai Ji & Joe Yeong & Jin Liu, 2023. "Author Correction: Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST," Nature Communications, Nature, vol. 14(1), pages 1-1, December.
    2. Yahui Long & Kok Siong Ang & Mengwei Li & Kian Long Kelvin Chong & Raman Sethi & Chengwei Zhong & Hang Xu & Zhiwei Ong & Karishma Sachaphibulkij & Ao Chen & Li Zeng & Huazhu Fu & Min Wu & Lina Hsiu Ki, 2023. "Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    3. Wei Liu & Xu Liao & Ziye Luo & Yi Yang & Mai Chan Lau & Yuling Jiao & Xingjie Shi & Weiwei Zhai & Hongkai Ji & Joe Yeong & Jin Liu, 2023. "Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
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