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Sanguedolce F, Zanelli M, Palicelli A, Bisagni A, Zizzo M, Ascani S, Pedicillo MC, Cormio A, Falagario UG, Carrieri G, Cormio L. HER2 Expression in Bladder Cancer: A Focused View on Its Diagnostic, Prognostic, and Predictive Role. Int J Mol Sci 2023; 24:ijms24043720. [PMID: 36835131 PMCID: PMC9962688 DOI: 10.3390/ijms24043720] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 02/04/2023] [Accepted: 02/07/2023] [Indexed: 02/15/2023] Open
Abstract
Bladder cancer (BC) is a heterogeneous disease from a molecular, morphological, and clinical standpoint. HER2 is a known oncogene involved in bladder carcinogenesis. Assessing HER2 overexpression as a result of its molecular changes in a routine pathology practice using immunohistochemistry might be a useful adjunct in several scenarios, namely (1) to correctly identify flat urothelial lesions and inverted urothelial lesions in the diagnostic setting; (2) to provide prognostic hints in both non-muscle invasive (NMI) and muscle invasive (MI) tumors, thus supplementing risk stratification tools, especially when evaluating higher-risk tumors such as those with variant morphology; (3) to improve antibody panels as a surrogate marker of BC molecular subtyping. Furthermore, the potential of HER2 as a therapeutic target has been only partly explored so far, in light of the ongoing development of novel target therapies.
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Affiliation(s)
- Francesca Sanguedolce
- Pathology Unit, Policlinico Riuniti, University of Foggia, 71122 Foggia, Italy
- Correspondence:
| | - Magda Zanelli
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Andrea Palicelli
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Alessandra Bisagni
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Maurizio Zizzo
- Surgical Oncology Unit, Azienda USL-IRCCS di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Stefano Ascani
- Pathology Unit, Azienda Ospedaliera Santa Maria di Terni, University of Perugia, 05100 Terni, Italy
| | | | - Angelo Cormio
- Urology Unit, Azienda Ospedaliero-Universitaria Ospedali Riuniti Di Ancona, Università Politecnica Delle Marche, 60126 Ancona, Italy
| | - Ugo Giovanni Falagario
- Department of Urology and Renal Transplantation, Policlinico Riuniti, University of Foggia, 71122 Foggia, Italy
| | - Giuseppe Carrieri
- Department of Urology and Renal Transplantation, Policlinico Riuniti, University of Foggia, 71122 Foggia, Italy
| | - Luigi Cormio
- Department of Urology and Renal Transplantation, Policlinico Riuniti, University of Foggia, 71122 Foggia, Italy
- Department of Urology, Bonomo Teaching Hospital, 76123 Andria, Italy
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D'costa M, Bothe A, Das S, Udhaya Kumar S, Gnanasambandan R, George Priya Doss C. CDK regulators—Cell cycle progression or apoptosis—Scenarios in normal cells and cancerous cells. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 135:125-177. [PMID: 37061330 DOI: 10.1016/bs.apcsb.2022.11.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Serine/threonine kinases called cyclin-dependent kinases (CDKs) interact with cyclins and CDK inhibitors (CKIs) to control the catalytic activity. CDKs are essential controllers of RNA transcription and cell cycle advancement. The ubiquitous overactivity of the cell cycle CDKs is caused by a number of genetic and epigenetic processes in human cancer, and their suppression can result in both cell cycle arrest and apoptosis. This review focused on CDKs, describing their kinase activity, their role in phosphorylation inhibition, and CDK inhibitory proteins (CIP/KIP, INK 4, RPIC). We next compared the role of different CDKs, mainly p21, p27, p57, p16, p15, p18, and p19, in the cell cycle and apoptosis in cancer cells with respect to normal cells. The current work also draws attention to the use of CDKIs as therapeutics, overcoming the pharmacokinetic barriers of pan-CDK inhibitors, analyze new chemical classes that are effective at attacking the CDKs that control the cell cycle (cdk4/6 or cdk2). It also discusses CDKI's drawbacks and its combination therapy against cancer patients. These findings collectively demonstrate the complexity of cancer cell cycles and the need for targeted therapeutic intervention. In order to slow the progression of the disease or enhance clinical outcomes, new medicines may be discovered by researching the relationship between cell death and cell proliferation.
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Affiliation(s)
- Maria D'costa
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
| | - Anusha Bothe
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
| | - Soumik Das
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
| | - S Udhaya Kumar
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India
| | - R Gnanasambandan
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
| | - C George Priya Doss
- Laboratory of Integrative Genomics, Department of Integrative Biology, School of Bio Sciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
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Jung M, Lee C, Han D, Kim K, Yang S, Nikas IP, Moon KC, Kim H, Song MJ, Kim B, Lee H, Ryu HS. Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth. Front Oncol 2022; 12:841398. [PMID: 35402263 PMCID: PMC8987228 DOI: 10.3389/fonc.2022.841398] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background The molecular biology of inverted urothelial papilloma (IUP) as a precursor disease of urothelial carcinoma is poorly understood. Furthermore, the overlapping histology between IUP and papillary urothelial carcinoma (PUC) with inverted growth is a diagnostic pitfall leading to frequent misdiagnoses. Methods To identify the oncologic significance of IUP and discover a novel biomarker for its diagnosis, we employed mass spectrometry-based proteomic analysis of IUP, PUC, and normal urothelium (NU). Machine learning analysis shortlisted candidate proteins, while subsequent immunohistochemical validation was performed in an independent sample cohort. Results From the overall proteomic landscape, we found divergent 'NU-like' (low-risk) and 'PUC-like' (high-risk) signatures in IUP. The latter were characterized by altered metabolism, biosynthesis, and cell-cell interaction functions, indicating oncologic significance. Further machine learning-based analysis revealed SERPINH1, PKP2, and PYGB as potential diagnostic biomarkers discriminating IUP from PUC. The immunohistochemical validation confirmed PYGB as a specific biomarker to distinguish between IUP and PUC with inverted growth. Conclusion In conclusion, we suggest PYGB as a promising immunohistochemical marker for IUP diagnosis in routine practice.
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Affiliation(s)
- Minsun Jung
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Cheol Lee
- Department of Pathology, Seoul National University Hospital, Seoul, South Korea
| | - Dohyun Han
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Sunah Yang
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Ilias P. Nikas
- School of Medicine, European University Cyprus, Nicosia, Cyprus
| | - Kyung Chul Moon
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
- Department of Pathology, Seoul National University Hospital, Seoul, South Korea
- Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyeyoon Kim
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea
| | - Min Ji Song
- Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea
| | - Bohyun Kim
- Department of Pathology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, South Korea
| | - Hyebin Lee
- Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Han Suk Ryu
- Department of Pathology, Seoul National University College of Medicine, Seoul, South Korea
- Department of Pathology, Seoul National University Hospital, Seoul, South Korea
- Center for Medical Innovation, Biomedical Research Institute, Seoul National University Hospital, Seoul, South Korea
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