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Tamagawa H, Fujii M, Togasaki K, Seino T, Kawasaki S, Takano A, Toshimitsu K, Takahashi S, Ohta Y, Matano M, Kawasaki K, Machida Y, Sekine S, Machinaga A, Sasai K, Kodama Y, Kakiuchi N, Ogawa S, Hirano T, Seno H, Kitago M, Kitagawa Y, Iwasaki E, Kanai T, Sato T. Wnt-deficient and hypoxic environment orchestrates squamous reprogramming of human pancreatic ductal adenocarcinoma. Nat Cell Biol 2024; 26:1759-1772. [PMID: 39232216 DOI: 10.1038/s41556-024-01498-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 08/05/2024] [Indexed: 09/06/2024]
Abstract
Human pancreatic cancer is characterized by the molecular diversity encompassing native duct-like and squamous cell-like identities, but mechanisms underlying squamous transdifferentiation have remained elusive. To comprehensively capture the molecular diversity of human pancreatic cancer, we here profiled 65 patient-derived pancreatic cancer organoid lines, including six adenosquamous carcinoma lines. H3K27me3-mediated erasure of the ductal lineage specifiers and hijacking of the TP63-driven squamous-cell programme drove squamous-cell commitment, providing survival benefit in a Wnt-deficient environment and hypoxic conditions. Gene engineering of normal pancreatic duct organoids revealed that GATA6 loss and a Wnt-deficient environment, in concert with genetic or hypoxia-mediated inactivation of KDM6A, facilitate squamous reprogramming, which in turn enhances environmental fitness. EZH2 inhibition counterbalanced the epigenetic bias and curbed the growth of adenosquamous cancer organoids. Our results demonstrate how an adversarial microenvironment dictates the molecular and histological evolution of human pancreatic cancer and provide insights into the principles and significance of lineage conversion in human cancer.
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Affiliation(s)
- Hiroki Tamagawa
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Masayuki Fujii
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan.
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan.
| | - Kazuhiro Togasaki
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Takashi Seino
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Shintaro Kawasaki
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Ai Takano
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Kohta Toshimitsu
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Sirirat Takahashi
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Yuki Ohta
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Mami Matano
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
| | - Kenta Kawasaki
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Yujiro Machida
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Shigeki Sekine
- Division of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan
| | | | | | - Yuzo Kodama
- Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Nobuyuki Kakiuchi
- Department of Pathology and Tumor Biology, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Gastroenterology and Hepatology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomonori Hirano
- Department of Pathology and Tumor Biology, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Gastroenterology and Hepatology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiroshi Seno
- Department of Gastroenterology and Hepatology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Minoru Kitago
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Eisuke Iwasaki
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Takanori Kanai
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Toshiro Sato
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan.
- Department of Integrated Medicine and Biochemistry, Keio University School of Medicine, Tokyo, Japan.
- Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan.
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Li Q, Zhou Z, Chen Y, Yu J, Zhang H, Meng Y, Zhu M, Li N, Zhou J, Liu F, Fang X, Li J, Wang T, Lu J, Zhang T, Xu J, Shao C, Bian Y. Fully automated magnetic resonance imaging-based radiomics analysis for differentiating pancreatic adenosquamous carcinoma from pancreatic ductal adenocarcinoma. Abdom Radiol (NY) 2023; 48:2074-2084. [PMID: 36964775 DOI: 10.1007/s00261-023-03801-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 03/26/2023]
Abstract
PURPOSE To develop and validate an automated magnetic resonance imaging (MRI)-based model to preoperatively differentiate pancreatic adenosquamous carcinoma (PASC) from pancreatic ductal adenocarcinoma (PDAC). METHODS This retrospective study included patients with surgically resected, histopathologically confirmed PASC or PDAC who underwent MRI between January 2011 and December 2020. According to time of treatment, they were divided into training and validation sets. Automated deep-learning-based artificial intelligence was used for pancreatic tumor segmentation. Linear discriminant analysis was performed with conventional MRI and radiomic features to develop clinical, radiomics, and mixed models in the training set. The models' performances were determined from their discrimination and clinical utility. Kaplan-Meier and log-rank tests were used for survival analysis. RESULTS Overall, 389 and 123 patients with PDAC (age, 61.37 ± 9.47 years; 251 men) and PASC (age, 61.99 ± 9.82 years; 78 men) were included, respectively; they were split into the training (n = 358) and validation (n = 154) sets. The mixed model showed good performance in the training and validation sets (area under the curve: 0.94 and 0.96, respectively). The sensitivity, specificity, and accuracy were 76.74%, 93.38%, and 89.39% for the training set, respectively, and 67.57%, 97.44%, and 90.26% for the validation set, respectively. The mixed model outperformed the clinical (p = 0.001) and radiomics (p = 0.04) models in the validation set. Log-rank test revealed significantly longer survival in the predicted PDAC group than in the predicted PASC group (p = 0.003), according to the mixed model. CONCLUSION Our mixed model, which combined MRI and radiomic features, can be used to differentiate PASC from PDAC.
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Affiliation(s)
- Qi Li
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Zhenghao Zhou
- Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, No. 219 Ning Liu Road, Nanjing, 210044, Jiangsu, China
| | - Yukun Chen
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Jieyu Yu
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Hao Zhang
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Yinghao Meng
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
- Department of Radiology, No. 971 Hospital of Navy, Qingdao, 266071, Shandong, China
| | - Mengmeng Zhu
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Na Li
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Jian Zhou
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Fang Liu
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Xu Fang
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Jing Li
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Tiegong Wang
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China
| | - Teng Zhang
- Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, No. 219 Ning Liu Road, Nanjing, 210044, Jiangsu, China
| | - Jun Xu
- Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, No. 219 Ning Liu Road, Nanjing, 210044, Jiangsu, China.
| | - Chengwei Shao
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China.
| | - Yun Bian
- Department of Radiology, Changhai Hospital, Naval Medical University, Changhai Road 168, Shanghai, 200434, China.
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Ramia-Angel JM, Jaén-Torrejimeno I, Serrablo-Requejo A, Rodriguez-Laiz GP, López-Guerra D, Abadía-Forcen T, Alenda C, Serradilla-Martín M, Blanco-Fernandez G. Adenosquamous cancer of the pancreas: A multicenter retrospective study. GASTROENTEROLOGIA Y HEPATOLOGIA 2021; 45:543-551. [PMID: 34952130 DOI: 10.1016/j.gastrohep.2021.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 12/09/2021] [Accepted: 12/16/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Adenosquamous cancer of the pancreas (ASCP) is an aggressive, infrequent subtype of pancreatic cancer that combines a glandular and squamous component and is associated with poor survival. METHODS Multicenter retrospective observational study carried out at three Spanish hospitals. The study period was: January 2010- August 2020. A descriptive analysis of the data was performed, as well as an analysis of global and disease-free survival using the Kaplan-Meier statistic. RESULTS Of a total of 668 pancreatic cancers treated surgically, twelve were ASCP (1.8%). Patient mean age was 69.2±7.4 years. Male/female ratio was 1:1. The main symptom was jaundice (seven patients). Correct preoperative diagnosis was obtained in only two patients. Nine pancreatoduodenectomies and three distal pancreatectosplenectomies were performed. 25% had major complications. Mean tumor size was 48.6±19.4 mm. Nine patients received adjuvant chemotherapy. Median survival time was 5.9 months, and median disease-free survival was 4.6 months. 90% of patients presented recurrence. Ten of the twelve patients in the study (83.3%) died, with disease progression being the cause in eight. Of the two surviving patients, one is disease-free and the other has liver metastases. CONCLUSION ASCP is a very rare pancreatic tumor with aggressive behavior. It is rarely diagnosed preoperatively. The best treatment, if feasible, is surgery followed by the standard chemotherapy regimens for pancreatic adenocarcinoma.
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Affiliation(s)
- Jose Manuel Ramia-Angel
- Servicio de Cirugía General. Hospital General Universitario, Alicante, España; ISABIAL: Instituto de Investigación Sanitaria y Biomédica, Alicante, España
| | | | - Alejandro Serrablo-Requejo
- Servicio de Cirugía General. Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón, Zaragoza, España
| | - Gonzalo P Rodriguez-Laiz
- Servicio de Cirugía General. Hospital General Universitario, Alicante, España; ISABIAL: Instituto de Investigación Sanitaria y Biomédica, Alicante, España
| | - Diego López-Guerra
- Servicio de Cirugía General. Complejo Hospitalario de Badajoz, Badajoz, España
| | - Teresa Abadía-Forcen
- Servicio de Cirugía General. Hospital Universitario Miguel Servet, Zaragoza, España
| | - Cristina Alenda
- Servicio de Cirugía General. Hospital General Universitario, Alicante, España; Servicio de Anatomía Patológica. Hospital General Universitario, Alicante, España
| | - Mario Serradilla-Martín
- Servicio de Cirugía General. Hospital Universitario Miguel Servet, Zaragoza, España; Instituto de Investigación Sanitaria de Aragón, Zaragoza, España.
| | - Gerardo Blanco-Fernandez
- Servicio de Cirugía General. Complejo Hospitalario de Badajoz, Badajoz, España; Universidad de Extremadura, Badajoz, España
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