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Lépine C. [Salivary gland tumors: 2022 WHO blue book and beyond]. Ann Pathol 2024; 44:175-182. [PMID: 38448262 DOI: 10.1016/j.annpat.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/08/2024] [Indexed: 03/08/2024]
Abstract
In 2022, the 5th edition of the WHO classification of Head and Neck tumors was published online. In the salivary gland chapter, a new benign entity, the keratocystoma, was introduced. The sclerosing polycystic adenosis has been recognized as tumoral and is now termed sclerosing polycystic adenoma. The striated duct adenoma now has its own dedicated chapter. Additionally, a new variant of pleomorphic adenoma, termed "canalicular adenoma-like," has been incorporated. Regarding malignant tumors of the salivary glands, significant doubts now exist regarding the actual existence of oncocytic carcinoma, which has been reclassified among emerging entities. Two new malignant entities have also emerged: microsecretory adenocarcinoma and microcystic sclerosing adenocarcinoma. Finally, primary mucinous adenocarcinoma of the salivary glands has been acknowledged as a distinct entity.
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Affiliation(s)
- Charles Lépine
- Service d'anatomie et cytologie pathologiques, University Hospital Centre Nantes, Nantes université, CHU de Nantes, 44000 Nantes, France; Inserm, INCIT, UMR 1302/EMR6001, CNRS, Immunology and New Concepts in ImmunoTherapy, Nantes, France.
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Leng X, Sun X, Lin Y, Zhang C, Huang H, Wang Y. Secretory carcinoma in the parotid gland presenting as a cystic lesion and harboring ETV6‑NTRK3 gene rearrangement. Oral Oncol 2024; 152:106804. [PMID: 38615587 DOI: 10.1016/j.oraloncology.2024.106804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 04/09/2024] [Indexed: 04/16/2024]
Affiliation(s)
- Xiaochen Leng
- Department of Ultrasound Medicine, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Xinlong Sun
- Department of Oral and Maxillofacial Surgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Yusheng Lin
- Department of Ultrasound Medicine, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Cuiping Zhang
- Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Hai Huang
- Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Yuliang Wang
- Department of Oral and Maxillofacial Surgery, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
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Zoccali F, Arienzo F, Casini B, Covello R, de Vincentiis M, Riminucci M, Corsi A. Macrocystic Secretory Carcinoma of the Parotid Gland. EAR, NOSE & THROAT JOURNAL 2024:1455613241233746. [PMID: 38400728 DOI: 10.1177/01455613241233746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2024] Open
Affiliation(s)
- Federica Zoccali
- Department of Sense Organs, Sapienza University of Rome, Rome, Italy
| | - Francesca Arienzo
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Lazio, Italy
| | - Beatrice Casini
- Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Renato Covello
- Department of Pathology, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | | | - Mara Riminucci
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Alessandro Corsi
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
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Wang Y, Sun J, Sun B, Zhang C, Tian Z, Wang L, Li J. The genetic and immune features of salivary gland secretory carcinoma with high-grade transformation. Oral Dis 2024. [PMID: 38263601 DOI: 10.1111/odi.14876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 12/26/2023] [Accepted: 01/11/2024] [Indexed: 01/25/2024]
Abstract
OBJECTIVES To compare the clinicopathological, molecular, and immune features of conventional and high-grade transformation (HGT) secretory carcinoma (SC) in salivary glands. MATERIALS AND METHODS The clinicopathological data of 88 cases including 74 conventional SCs and 14 SCs with HGT were reviewed. Targeted next-generation sequencing was performed in 11 SCs with HGT and 7 conventional SCs. The level of PD-L1 and CD8+ TILs was determined by immunohistochemistry. RESULTS Compared with the conventional group, the rates of nodal metastasis, local recurrence, distant metastasis and mortality were significantly higher in the HGT cohort. Mutations of ARID1A/B, KMT2A, HOXD13, NRG1 and ETV6 genes were identified in HGT SCs. A recurrent E307G mutation in GATA6 gene was also observed in two cases. Two deceased HGT patients with distant metastasis harboured NOTCH3 mutations. ETV6-RET translocation was prone to occur in the HGT SCs. Additionally, PD-L1 expression was low, and CD8+ TILs were sparse in most HGT cases. CONCLUSION Our findings reveal novel gene alterations involved in the progression of HGT in SCs. Most HGT SCs patients cannot benefit from PD-L1 blocking and may be approached with a distinct treatment strategy including the lymph node dissection and application of molecular target drugs in precision oncology.
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Affiliation(s)
- Yu Wang
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingjing Sun
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bao Sun
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunye Zhang
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhen Tian
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lizhen Wang
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Li
- Shanghai Key Laboratory of Stomatology, Department of Oral Pathology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Yang Y, Ye X, Zhou B, Liu Y, Feng M, Lv W, Lu D, Cui X, Liu J. Nomogram for predicting lymph node metastasis in patients with ovarian cancer using ultrasonography: a multicenter retrospective study. BMC Cancer 2023; 23:1121. [PMID: 37978453 PMCID: PMC10655276 DOI: 10.1186/s12885-023-11624-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 11/08/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Ovarian cancer is a common cancer among women globally, and the assessment of lymph node metastasis plays a crucial role in the treatment of this malignancy. The primary objective of our study was to identify the risk factors associated with lymph node metastasis in patients with ovarian cancer and develop a predictive model to aid in the selection of the appropriate surgical procedure and treatment strategy. METHODS We conducted a retrospective analysis of data from patients with ovarian cancer across three different medical centers between April 2014 and August 2022. Logistic regression analysis was employed to establish a prediction model for lymph node metastasis in patients with ovarian cancer. We evaluated the performance of the model using receiver operating characteristic (ROC) curves, calibration plots, and decision analysis curves. RESULTS Our analysis revealed that among the 368 patients in the training set, 101 patients (27.4%) had undergone lymph node metastasis. Maximum tumor diameter, multifocal tumor, and Ki67 level were identified as independent risk factors for lymph node metastasis. The area under the curve (AUC) of the ROC curve in the training set was 0.837 (95% confidence interval [CI]: 0.792-0.881); in the validation set this value was 0.814 (95% CI: 0.744-0.884). Calibration plots and decision analysis curves revealed good calibration and clinical application value. CONCLUSIONS We successfully developed a model for predicting lymph node metastasis in patients with ovarian cancer, based on ultrasound examination results and clinical data. Our model accurately identified patients at high risk of lymph node metastasis and may guide the selection of appropriate treatment strategies. This model has the potential to significantly enhance the precision and efficacy of clinical management in patients with ovarian cancer.
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Affiliation(s)
- Yaqin Yang
- Department of Ultrasound, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Xuewei Ye
- Department of Ultrasound, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Binqian Zhou
- Department of Ultrasound, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Liu
- Department of Ultrasound, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Mei Feng
- Department of Ultrasound, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China
| | - Wenzhi Lv
- Department of Artificial Intelligence, Julei Technology Company, Wuhan, 430030, China
| | - Dan Lu
- Department of Ultrasound, Zhongnan Hospital of Wuhan University, Wuhan, China.
| | - Xinwu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Jianxin Liu
- Department of Ultrasound, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, China.
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Othman BK, Bradová M, Dobner T, Michal M, Skálová A. Reply: Salivary Gland Secretory Carcinoma: Clinicopathologic and Genetic Characteristics of 215 Cases and Proposal for a Grading System. Am J Surg Pathol 2023; 47:1332-1334. [PMID: 37750535 DOI: 10.1097/pas.0000000000002129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Affiliation(s)
| | - Martina Bradová
- Department of Pathology, Charles University, Faculty of Medicine
- Bioptic Laboratory, Ltd
| | - Tomáš Dobner
- Information Technology Department Bioptic Laboratory, Ltd., Pilsen Czech Republic
| | - Michal Michal
- Department of Pathology, Charles University, Faculty of Medicine
- Bioptic Laboratory, Ltd
| | - Alena Skálová
- Department of Pathology, Charles University, Faculty of Medicine
- Bioptic Laboratory, Ltd
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Patel A, LaBarge B, King TS, Pradhan S, Warrick J, Goyal N. Defining the clinical characteristics of mammary analog secretory carcinoma of the salivary gland: Analysis of the National Cancer Database. SAGE Open Med 2023; 11:20503121231200103. [PMID: 37767536 PMCID: PMC10521276 DOI: 10.1177/20503121231200103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023] Open
Abstract
Objectives Mammary analog secretory carcinoma (MASC) is a classification of salivary gland tumors, recently included within the term secretory carcinoma. Previous descriptions of this diagnosis have largely consisted of case reports and case series with few studies investigating its clinical characteristics as compared to non-MASC tumors. Our objective was to use a large patient database to compare the clinical characteristics of mammary analog secretory carcinoma vs. non-mammary analog secretory carcinoma salivary gland tumors. Methods The National Cancer Database was queried between September and October 2022 for histological diagnosis of mammary analog secretory carcinoma and non-MASC salivary tumors. Patients diagnosed with mammary analog secretory carcinoma and non-mammary analog secretory carcinoma salivary tumors between the period of 2004 through 2019 were included in this analysis. Various demographic and clinical variables were abstracted from the database and compared using Wilcoxon rank sum and chi-square tests. Survival was compared between cohorts using Cox proportional hazards regression. Results Overall, compared to non-mammary analog secretory carcinoma diagnoses (n = 47668), mammary analog secretory carcinoma tumors (n = 384) affected younger individuals, displayed favorable pathologic staging and tumor grade, and were less likely to invade surrounding tissues. Patients with mammary analog secretory carcinoma tumors also received treatment more quickly following diagnosis compared to patients with non-mammary analog secretory carcinoma tumors. The risk of death was 4.3 times greater for non-mammary analog secretory carcinoma diagnoses when adjusted for patient variables (hazard ratio = 4.3, 95% confidence interval [2.37-7.71], p < 0.001). Conclusions Clinically, mammary analog secretory carcinoma salivary tumors have a more indolent course compared to other salivary cancers. Additional studies are needed to determine the natural history of this tumor type.
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Affiliation(s)
- Akshilkumar Patel
- The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Brandon LaBarge
- Department of Otolaryngology—Head and Neck Surgery, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Tonya S King
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Sandeep Pradhan
- Department of Public Health Sciences, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Joshua Warrick
- Department of Pathology and Laboratory Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
| | - Neerav Goyal
- Department of Otolaryngology—Head and Neck Surgery, Penn State Health Milton S. Hershey Medical Center, Hershey, PA, USA
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