Clinical and genomic features of the morphological subtypes in advanced pancreatic cancer.

E Eugenia Flores-Figueroa Y Yuanchang Fang (University Health Network, Toronto, ON, Canada) M Maryam Monajemzadeh A Ayah Elqaderi (University Health Network, Toronto, ON, Canada) T Tom Ouellette (Ontario Institute for Cancer Research (OICR); Department of Molecular Genetics at University of Toronto, Toronto, ON, Canada) A Amy Zhang G Gun Ho Jang K Karen Ng M Milena Gallucci (University Health Network, Toronto, ON, Canada) Z Zhen-Mei Liu (University Health Network, Toronto, ON, Canada) N Nikolina Radulovich (University Health Network, Toronto, ON, Canada) N Nhu An Pham (University Health Network, Toronto, ON, Canada) A Anna Dodd J Julie Wilson E Erica S Tsang (Princess Margaret Cancer Centre, Toronto, ON, Canada) S Steven Gallinger J Jennifer J. Knox G Grainne M. O'Kane (St Vincent's University Hospital, Dublin, Ireland) F Faiyaz Notta R Robert C Grant (Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada)

Abstract

765 Background: In resected pancreatic cancer (PDA), morphology from routine histopathology slides provides a rapid inexpensive biomarker that predicts overall survival and correlates with transcriptomic subtypes. In this study, we evaluated clinical and genomic associations of morphological subtypes in resected and advanced disease and validated the consistency of subtypes in patient-derived organoids (PDO) and mouse xenografts (PDXs) during in vitro and in vivo modeling. Methods: Our cohort included PDA tumor tissues from 152 resectable (stage I/II) and 228 advanced cases (Stage III/IV). Hematoxylin and eosin-stained slides were blindly reviewed by two pathologists and classified into subtypes based on Kalimuthu (1). Morphological subtypes were correlated with clinical and genomic data from whole-genome and transcriptome sequencing. Histological preparations from PDOs and PDXs obtained from pancreatic resections and metastases were reviewed using the same criteria. Results: Morphological subtypes were significantly associated with clinical patterns. Locally advanced PDA exhibited the highest proportion of glandular tumors. Metastatic tumors were enriched for non-glandular morphologies. The non-glandular morphologies were significantly associated with lower survival rates in both resected and advanced tumors. Furthermore, morphological subtypes were significantly associated with unique genomic alterations. Compared to glandular tumors, non-glandular tumors were associated with increased KRAS copy number, KRAS imbalances, and polyploid genomes. In advanced settings, glandular and non-glandular tumors mostly exhibited classical and basal-like transcriptional subtypes, respectively. Squamous tumors had the highest mutation burden and the highest proportion of Basal A signature (2). Using differential gene expression, we identified transcriptional signatures of the morphological subtypes. PDOs and PDXs maintained the morphological subtypes, although non-glandular tumors had a lower success rate for PDO establishment. Conclusions: Morphological subtypes have distinct clinical and genomic associations across all stages of pancreatic cancer, which can be consistently modeled both in vitro and in vivo . These results demonstrate that morphological subtyping offers a rapid and biologically-relevant classification of PDA that could be used for drug development and stratification to predict therapy selection. 1. Gut; 69:317-328 (2020). 2. Nat Gen; 52:231-240 (2020).

Article Details

Volume / Issue Vol. 43, Issue 4_suppl
Published February 01, 2025
Pages 765-765
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

E

Eugenia Flores-Figueroa

Y

Yuanchang Fang

University Health Network, Toronto, ON, Canada

M

Maryam Monajemzadeh

A

Ayah Elqaderi

University Health Network, Toronto, ON, Canada

T

Tom Ouellette

Ontario Institute for Cancer Research (OICR); Department of Molecular Genetics at University of Toronto, Toronto, ON, Canada

A

Amy Zhang

G

Gun Ho Jang

K

Karen Ng

M

Milena Gallucci

University Health Network, Toronto, ON, Canada

Z

Zhen-Mei Liu

University Health Network, Toronto, ON, Canada

N

Nikolina Radulovich

University Health Network, Toronto, ON, Canada

N

Nhu An Pham

University Health Network, Toronto, ON, Canada

A

Anna Dodd

J

Julie Wilson

E

Erica S Tsang

Princess Margaret Cancer Centre, Toronto, ON, Canada

S

Steven Gallinger

J

Jennifer J. Knox

G

Grainne M. O'Kane

St Vincent's University Hospital, Dublin, Ireland

F

Faiyaz Notta

R

Robert C Grant

Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada