Cystic Duct Carcinoma: A New Classification System and the Clinicopathological Features of 62 Patients

Lingxi Nan; Lingxi Nan; Lingxi Nan; Changcheng Wang; Changcheng Wang; Changcheng Wang; Yajie Dai; Yajie Dai; Yajie Dai; Jie Wang; Jie Wang; Jie Wang; Xiaobo Bo; Xiaobo Bo; Xiaobo Bo; Shulong Zhang; Shulong Zhang; Dexiang Zhang; Dexiang Zhang; Houbao Liu; Houbao Liu; Houbao Liu; Houbao Liu; Yueqi Wang; Yueqi Wang; Yueqi Wang; Yueqi Wang

doi:10.3389/fonc.2021.696714

Frontiers in Oncology (Jun 2021)

Cystic Duct Carcinoma: A New Classification System and the Clinicopathological Features of 62 Patients

Lingxi Nan,
Lingxi Nan,
Lingxi Nan,
Changcheng Wang,
Changcheng Wang,
Changcheng Wang,
Yajie Dai,
Yajie Dai,
Yajie Dai,
Jie Wang,
Jie Wang,
Jie Wang,
Xiaobo Bo,
Xiaobo Bo,
Xiaobo Bo,
Shulong Zhang,
Shulong Zhang,
Dexiang Zhang,
Dexiang Zhang,
Houbao Liu,
Houbao Liu,
Houbao Liu,
Houbao Liu,
Yueqi Wang,
Yueqi Wang,
Yueqi Wang,
Yueqi Wang

Affiliations

Lingxi Nan: Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
Lingxi Nan: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Lingxi Nan: Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
Changcheng Wang: Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
Changcheng Wang: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Changcheng Wang: Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
Yajie Dai: Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China
Yajie Dai: Shanghai Institute of Medical Imaging, Shanghai, China
Yajie Dai: Department of Medical Imaging, Shanghai Medical College, Fudan University, Shanghai, China
Jie Wang: Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
Jie Wang: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Jie Wang: Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
Xiaobo Bo: Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
Xiaobo Bo: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Xiaobo Bo: Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
Shulong Zhang: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Shulong Zhang: Department of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China
Dexiang Zhang: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Dexiang Zhang: Department of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China
Houbao Liu: Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
Houbao Liu: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Houbao Liu: Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
Houbao Liu: Department of General Surgery, Xuhui District Central Hospital of Shanghai, Shanghai, China
Yueqi Wang: Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
Yueqi Wang: Biliary Tract Diseases Institute, Fudan University, Shanghai, China
Yueqi Wang: Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
Yueqi Wang: Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Fudan University, Shanghai, China

DOI: https://doi.org/10.3389/fonc.2021.696714
Journal volume & issue: Vol. 11

Abstract

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BackgroundCystic duct carcinoma (CDC) is a rare biliary malignancy with a low incidence and poor prognosis. However, the clinical landscape of the disease has not been clarified and no widely applicable classification system has been developed.MethodsSixty-two patients with CDC were included in this retrospective study, and a new classification system was established using imaging data. Blood indices, radiological characteristics, pathological features, surgical procedures, and overall survival data were collected. The efficacy of the new classification in predicting resectability was evaluated using receiver operating characteristic (ROC) curves, and K-means clustering and t-distributed stochastic neighbor embedding were applied to verify the conclusion.ResultsThe pT stage of patients with type II CDC was significantly worse than that of type I. Patients with type II CDC were more likely to experience distant metastasis and invasion of the nervous system, vascular system, and liver. The resectability of patients with type II CDC was significantly worse than that of patients with type I CDC. Patients with type II CDC had worse prognoses. ROC curve analysis and K-means clustering revealed that the new classification could better categorize patients with CDC than currently available systems.ConclusionPatients with type II CDC have significantly worse clinicopathological outcomes. The new classification system has better accuracy in grouping patients with CDC.

Published in Frontiers in Oncology

ISSN: 2234-943X (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Website: https://www.frontiersin.org/journals/oncology/

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