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Hunter CJ, Moreno MA, Strub GM. Advanced laryngeal squamous cell carcinoma in an adolescent: A case and treatment considerations. Clin Case Rep 2024; 12:e9442. [PMID: 39346017 PMCID: PMC11427180 DOI: 10.1002/ccr3.9442] [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: 07/15/2024] [Revised: 08/18/2024] [Accepted: 08/29/2024] [Indexed: 10/01/2024] Open
Abstract
Pediatric laryngeal SCCa is a rare malignancy in childhood. High index of suspicion is critical to obtain timely tissue sample and diagnosis. Shared decision making is important when choosing treatment modalities for curative management, especially when working with adolescent patients.
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Affiliation(s)
- Courtney J Hunter
- Department of Otolaryngology-Head and Neck Surgery University of Arkansas for Medical Sciences Little Rock Arkansas USA
| | - Mauricio A Moreno
- Department of Otolaryngology-Head and Neck Surgery University of Arkansas for Medical Sciences Little Rock Arkansas USA
| | - Graham M Strub
- Department of Otolaryngology-Head and Neck Surgery University of Arkansas for Medical Sciences Little Rock Arkansas USA
- Division of Pediatric Otolaryngology Arkansas Children's Hospital Little Rock Arkansas USA
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Valjarevic S, Jovanovic MB, Miladinovic N, Cumic J, Dugalic S, Corridon PR, Pantic I. Gray-Level Co-occurrence Matrix Analysis of Nuclear Textural Patterns in Laryngeal Squamous Cell Carcinoma: Focus on Artificial Intelligence Methods. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2023; 29:1220-1227. [PMID: 37749686 DOI: 10.1093/micmic/ozad042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/05/2023] [Accepted: 03/10/2023] [Indexed: 09/27/2023]
Abstract
Gray-level co-occurrence matrix (GLCM) and discrete wavelet transform (DWT) analyses are two contemporary computational methods that can identify discrete changes in cell and tissue textural features. Previous research has indicated that these methods may be applicable in the pathology for identification and classification of various types of cancers. In this study, we present findings that squamous epithelial cells in laryngeal carcinoma, which appear morphologically intact during conventional pathohistological evaluation, have distinct nuclear GLCM and DWT features. The average values of nuclear GLCM indicators of these cells, such as angular second moment, inverse difference moment, and textural contrast, substantially differ when compared to those in noncancerous tissue. In this work, we also propose machine learning models based on random forests and support vector machine that can be successfully trained to separate the cells using GLCM and DWT quantifiers as input data. We show that, based on a limited cell sample, these models have relatively good classification accuracy and discriminatory power, which makes them suitable candidates for future development of AI-based sensors potentially applicable in laryngeal carcinoma diagnostic protocols.
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Affiliation(s)
- Svetlana Valjarevic
- University of Belgrade, Faculty of Medicine, Clinical Hospital Center "Zemun", Vukova 9, RS-11080 Belgrade, Serbia
| | - Milan B Jovanovic
- University of Belgrade, Faculty of Medicine, Clinical Hospital Center "Zemun", Vukova 9, RS-11080 Belgrade, Serbia
| | - Nenad Miladinovic
- University of Belgrade, Faculty of Medicine, Clinical Hospital Center "Zemun", Vukova 9, RS-11080 Belgrade, Serbia
| | - Jelena Cumic
- University of Belgrade, Faculty of Medicine, University Clinical Centre of Serbia, Dr. Koste Todorovića 8, RS-11129, Belgrade, Serbia
| | - Stefan Dugalic
- University of Belgrade, Faculty of Medicine, University Clinical Centre of Serbia, Dr. Koste Todorovića 8, RS-11129, Belgrade, Serbia
| | - Peter R Corridon
- Department of Immunology and Physiology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Shakhbout Bin Sultan St - Hadbat Al Za'faranah - Zone 1 - Abu Dhabi, UAE
- Biomedical Engineering, Healthcare Engineering Innovation Center, Khalifa University of Science and Technology, Shakhbout Bin Sultan St - Hadbat Al Za'faranah - Zone 1 - Abu Dhabi, UAE
- Center for Biotechnology, Khalifa University of Science and Technology, Shakhbout Bin Sultan St - Hadbat Al Za'faranah - Zone 1 - Abu Dhabi, UAE
| | - Igor Pantic
- University of Belgrade, Faculty of Medicine, Department of Medical Physiology, Višegradska 26/2, RS-11129 Belgrade, Serbia
- Department of Pharmacology, College of Medicine and Health Sciences, Khalifa University of Science and Technology, Shakhbout Bin Sultan St - Hadbat Al Za'faranah - Zone 1 - Abu Dhabi, UAE
- University of Haifa, 199 Abba Hushi Blvd, Mount Carmel, Haifa IL-3498838, Israel
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Zang Y, Li J, Wan B, Tai Y, Liu H, Li Q, Ji Y. Long non-coding RNA CCAT2 drives the growth of laryngeal squamous cell carcinoma via regulating YAP activity. Hum Cell 2021; 34:1878-1887. [PMID: 34515990 DOI: 10.1007/s13577-021-00606-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 08/28/2021] [Indexed: 10/20/2022]
Abstract
Emerging evidence suggests that long non-coding RNA (lncRNA) is closely associated with numerous human diseases, including cancer. However, the functional relevance of lncRNA in human laryngeal squamous cell carcinoma (LSCC) is largely unknown. In the current study, we described CCAT2, a previously unappreciated oncogenic lncRNA in LSCC. CCAT2 was significantly upregulated in human LSCC tissue and serum samples, associated with larger tumor volume, higher clinical stage, and poorer differentiation status. Lentivirus-mediated CCAT2 knockdown notably repressed the cell viability, colony formation, and DNA synthesis rate of LSCC. Screening of transcription factors revealed that YAP/TEAD activity was affected by CCAT2 in LSCC cells. Further, CCAT2 directly binds to YAP protein and blocks the phosphorylation of YAP induced by LATS1, resulting in the nuclear translocation of YAP and the activation of YAP oncogenic targets, such as CTGF, CYR61 and AMOTL2. Importantly, we also confirmed the regulation of CCAT2 on YAP activity in vivo based on nude mice model. Altogether, we identified a novel lncRNA that controls YAP nucleocytoplasmic shuttling and promotes LSCC cell proliferation. Given the importance of YAP in tumorigenesis and progression, our results provide insights to intervene LSCC by targeting the CCAT2/YAP axis.
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MESH Headings
- Animals
- Carcinoma, Squamous Cell/genetics
- Carcinoma, Squamous Cell/pathology
- Carcinoma, Squamous Cell/therapy
- Cell Cycle Proteins/genetics
- Cell Cycle Proteins/metabolism
- Cell Proliferation/genetics
- Cell Survival/genetics
- DNA, Neoplasm/metabolism
- Disease Models, Animal
- Gene Expression Regulation, Neoplastic/genetics
- Humans
- Laryngeal Neoplasms/genetics
- Laryngeal Neoplasms/pathology
- Laryngeal Neoplasms/therapy
- Mice, Nude
- Molecular Targeted Therapy
- Phosphorylation/genetics
- Protein Binding/genetics
- Protein Serine-Threonine Kinases/physiology
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- RNA, Long Noncoding/physiology
- Transcription Factors/genetics
- Transcription Factors/metabolism
- Tumor Cells, Cultured
- Up-Regulation/genetics
- Mice
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Affiliation(s)
- Yanzi Zang
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China
| | - Jing Li
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China
| | - Baoluo Wan
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China
| | - Yong Tai
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China
| | - Hongjian Liu
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China.
| | - Qian Li
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China
| | - Yuzi Ji
- Department of Otolaryngology, People's Hospital of Henan Province, 7 Weiwu Road, Zhengzhou, 450003, Henan, People's Republic of China
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