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Rossi G, Righi L, Barbisan F, Tiseo M, Spagnolo P, Grosso F, Pisapia P, Malapelle U, Sculco M, Dianzani I, Abate-Daga L, Davolio MC, Ceresoli GL, Galetta D, Pasello G, Novello S, Bironzo P. BAP1 Loss, Nuclear Grading, and Nonepithelioid Features in the Diagnosis of Mesothelioma in Italy: Nevermore without the Pathology Report. J Pers Med 2024; 14:394. [PMID: 38673021 PMCID: PMC11051266 DOI: 10.3390/jpm14040394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/02/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
The pathologic diagnosis of pleural mesothelioma is generally based on international guidelines, but no compulsory points based on different drugs approvals in different European countries are required to be reported. According to the last (2021) edition of the World Health Organization classification of pleural tumors, the nuclear grade of epithelioid-type mesothelioma should be always inserted in the pathologic report, while the presence of BRCA-associated protein-1 (BAP1) (clone C4) loss and a statement on the presence of the sarcomatoid/nonepithelioid component are fundamental for both a screening of patients with suspected BAP1 tumor predisposition syndrome and the eligibility to perform first-line immunotherapy at least in some countries. Several Italian experts on pleural mesothelioma who are deeply involved in national scientific societies or dedicated working groups supported by patient associations agreed that the pathology report of mesothelioma of the pleura should always include the nuclear grade in the epithelioid histology, which is an overt statement on the presence of sarcomatoid components (at least 1%, in agreement with the last classification of pleural mesothelioma) and the presence of BAP1 loss (BAP1-deficient mesothelioma) or not (BAP1-retained mesothelioma) in order to screen patients possibly harboring BAP1 tumor predisposition syndrome. This review aims to summarize the most recent data on these three important elements to provide evidence regarding the possible precision needs for mesothelioma.
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Affiliation(s)
- Giulio Rossi
- Pathology Unit, Services Area, Fondazione Poliambulanza Hospital Institute, Via Bissolati 57, 25124 Brescia, Italy;
- Fondazione FONICAP, Via Locchi, 26, 37124 Verona, Italy
| | - Luisella Righi
- Department of Oncology, University of Turin, San Luigi Hospital, 10043 Orbassano, Italy; (L.R.); (S.N.); (P.B.)
| | - Francesca Barbisan
- Pathological Anatomy Institute, Polytechnic University of Marche Region, 60126 Ancona, Italy;
| | - Marcello Tiseo
- Department of Medicine and Surgery, University of Parma and Medical Oncology Unit, University Hospital of Parma, 43126 Parma, Italy;
| | - Paolo Spagnolo
- Respiratory Disease Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35128 Padova, Italy;
| | - Federica Grosso
- Mesothelioma Unit, AO SS. Antonio e Biagio e Cesare Arrigo, 15121 Alessandria, Italy;
| | - Pasquale Pisapia
- Department of Public Health, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy;
| | - Umberto Malapelle
- Department of Public Health, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy;
| | - Marika Sculco
- Department of Health Sciences, Università del Piemonte Orientale, 28100 Novara, Italy; (M.S.); (I.D.)
| | - Irma Dianzani
- Department of Health Sciences, Università del Piemonte Orientale, 28100 Novara, Italy; (M.S.); (I.D.)
| | - Laura Abate-Daga
- TU.TO.R. Tumori Toracici Rari, Patient Advocacy, 20123 Milan, Italy;
| | - Maria Cristina Davolio
- Legal Medicine and Risk Management Department, Azienda Unità Sanitaria Locale di Modena, Strada Martiniana, 21, 41126 Modena, Italy;
| | | | - Domenico Galetta
- Medical Thoracic Oncology Unit, IRCCS Istituto Tumori “Giovanni Paolo II”, 70124 Bari, Italy;
| | - Giulia Pasello
- Medical Oncology 2, Veneto Institute of Oncology IOV-IRCCS, 35128 Padua, Italy;
- Department of Surgery, Oncology and Gastroenterology, University of Padua, 35128 Padua, Italy
| | - Silvia Novello
- Department of Oncology, University of Turin, San Luigi Hospital, 10043 Orbassano, Italy; (L.R.); (S.N.); (P.B.)
| | - Paolo Bironzo
- Department of Oncology, University of Turin, San Luigi Hospital, 10043 Orbassano, Italy; (L.R.); (S.N.); (P.B.)
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Abstract
Mesothelioma is a rare disease with an historically poor prognosis. Over the past decade, a grading system has been developed that is a powerful prognostic tool in epithelioid mesothelioma. Grading of epithelioid mesothelioma is now required or strongly recommended by expert consensus, the College of American Pathologists, the World Health Organization, and the International Mesothelioma Interest Group. The original nuclear grading system for epithelioid mesothelioma, developed in the United States, split epithelioid mesotheliomas into three prognostic groups with marked differences in survival. Now, this three-tiered nuclear grading system has been combined with the presence or absence of necrosis to form the currently recommended two-tiered grading system of low- and high-grade epithelioid mesothelioma. This review will focus on the development of this grading system in mesothelioma, the grading system's shortcomings, and the application of the grading system to cytology specimens and other extra-pleural sites. Lastly, this review will briefly discuss alternative grading systems and future considerations.
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Zeng Y, Zhuang Y, Vinod B, Guo X, Mitra A, Chen P, Saggio I, Shivashankar GV, Gao W, Zhao W. Guiding Irregular Nuclear Morphology on Nanopillar Arrays for Malignancy Differentiation in Tumor Cells. Nano Lett 2022; 22:7724-7733. [PMID: 35969027 DOI: 10.1021/acs.nanolett.2c01849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
For more than a century, abnormal nuclei in tumor cells, presenting subnuclear invaginations and folds on the nuclear envelope, have been known to be associated with high malignancy and poor prognosis. However, current nuclear morphology analysis focuses on the features of the entire nucleus, overlooking the malignancy-related subnuclear features in nanometer scale. The main technical challenge is to probe such tiny and randomly distributed features inside cells. We here employ nanopillar arrays to guide subnuclear features into ordered patterns, enabling their quantification as a strong indicator of cell malignancy. Both breast and liver cancer cells were validated as well as the quantification of nuclear abnormality heterogeneity. The alterations of subnuclear patterns were also explored as effective readouts for drug treatment. We envision that this nanopillar-enabled quantification of subnuclear abnormal features in tumor cells opens a new angle in characterizing malignant cells and studying the unique nuclear biology in cancer.
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Affiliation(s)
- Yongpeng Zeng
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
| | - Yinyin Zhuang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
| | - Benjamin Vinod
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
| | - Xiangfu Guo
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
| | - Aninda Mitra
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
- Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
| | - Isabella Saggio
- Dipartimento di Biologia e Biotecnologie Charles Darwin, Sapienza Università di Roma, 00185, Roma, Italy
- School of Biological Sciences, Nanyang Technological University, Singapore, 637551, Singapore
- CNR Institute of Molecular Biology and Pathology, 00185, Rome, Italy
| | - G V Shivashankar
- Department of Health Sciences & Technology (D-HEST), ETH Zurich, 8093, Zurich, Switzerland
- Paul Scherrer Institute, 5232, Villigen, Switzerland
| | - Weibo Gao
- Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore
- The Photonics Institute and Centre for Disruptive Photonic Technologies, Nanyang Technological University, 637371, Singapore
| | - Wenting Zhao
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, 637457, Singapore
- Institute for Digital Molecular Analytics and Science, Nanyang Technological University, 636921, Singapore
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Ntorkou AA. Editorial for "Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma". J Magn Reson Imaging 2020; 52:1567-1568. [PMID: 32592241 DOI: 10.1002/jmri.27267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 06/08/2020] [Indexed: 11/11/2022] Open
Affiliation(s)
- Alexandra A Ntorkou
- Service d'Imagerie Pédiatrique, CHU Robert Debré, Assistance publique - Hôpitaux de Paris, Université Paris Diderot, Paris, 75019, France.,Department of Clinical Radiology, Medical School, University of Ioannina, Ioannina, 45110, Greece
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Abstract
Malignant mesothelioma is an uncommon tumor that may be difficult to diagnose. The International Mesothelioma Interest Group has been writing guidelines for pathological diagnosis that are periodically updated. The guidelines are being updated based on published literature in the last 3 years, and experience of more than 20 leading international pathologists in the field who will be co-authors. Updates were discussed by attendees of the Pulmonary Pathology Society Biennial Meeting (Dubrovnik, Croatia, June 2019). Areas with significant advancements/changes include utilization of immunohistochemistry (establishing mesothelial lineage and benign versus malignant), prognosis and nuclear grading, biphasic malignant mesothelioma, transitional pattern, malignant mesothelioma in situ, and therapeutic/molecular targets.
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Affiliation(s)
- Jefree J Schulte
- Department of Pathology, The University of Chicago, Chicago, IL, USA
| | - Aliya N Husain
- Department of Pathology, The University of Chicago, Chicago, IL, USA
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Inoue T, Nakazato Y, Karube Y, Maeda S, Kobayashi S, Chida M. Mitosis count and number of cancer cells in cases of primary pulmonary adenocarcinoma: Correlations among phosphorylated histone 3, number of cancer cells, nuclear grade, pathologic features and prognosis. Pathol Int 2018; 68:159-166. [PMID: 29393583 DOI: 10.1111/pin.12635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 12/07/2017] [Indexed: 01/13/2023]
Abstract
Immunohistochemistry findings for the phosphorylated form of histone 3 (pHH3) have been shown to be a reliable mitosis-specific marker. We evaluated the correlation between pHH3-stained mitotic figures (PHMFs) and clinical outcome, and compared the results with findings for numbers of PHMFs and cancer cells. The primary tumor was obtained from 113 patients with pulmonary adenocarcinomas (≤2 cm maximum dimension). All specimens were stained with pHH3, then the number of cancer cells in each was determined. Cases with a cancer-cell index ≥1000 showed worse recurrence-free survival as compared to those with a value <1000 (P < 0.001). Also, cases with a pHH3 index ≥0.27 showed worse recurrence-free survival as compared to <0.27 (P = 0.001) and cases with a pHH3/cancer-cell index ≥0.001 showed worse recurrence-free survival as compared to <0.001 (P = 0.002). Multivariate analysis demonstrated that pHH3/cancer-cell index was significantly correlated with prognosis, but not Ki-67 index. The number of cancer cells was also strongly correlated with progression of Noguchi's classification and WHO pathologic type. pHH3/cancer-cell index was correlated with prognosis, and those were useful for prognostic evaluation of pulmonary adenocarcinoma patients. Furthermore, cancer cell number was correlated with Noguchi's classification and WHO pathologic type.
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Affiliation(s)
- Takashi Inoue
- Department of General Thoracic Surgery, Dokkyo Medical University, Tochigi, Japan
| | - Yoshimasa Nakazato
- Department of Anatomic and Diagnostic Pathology, Dokkyo Medical University, Tochigi, Japan
| | - Yoko Karube
- Department of General Thoracic Surgery, Dokkyo Medical University, Tochigi, Japan
| | - Sumiko Maeda
- Department of General Thoracic Surgery, Dokkyo Medical University, Tochigi, Japan
| | - Satoru Kobayashi
- Department of General Thoracic Surgery, Dokkyo Medical University, Tochigi, Japan
| | - Masayuki Chida
- Department of General Thoracic Surgery, Dokkyo Medical University, Tochigi, Japan
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Abstract
Background and Objectives: Oral squamous cell carcinoma (OSCC) is one of the most common tobacco-related cancers affecting the Indian population. Various malignancy-grading systems based on different histopathological features have been proposed for OSCC. Due to inherent subjectivity, inter-observer variation and reproducibility of a grading system remains a problem. Grading systems based on nuclear morphometry have been proposed for laryngeal, renal and pharyngeal carcinomas. In this study, an attempt was made to grade oral OSCC based on computer-assisted microscopic evaluation of nuclear features. Our intention was also to evaluate the use of Feulgen stain for studying nuclear features. Materials and Methods: Sections made from buccal mucosa biopsies of normal mucosa as well as different grades OSCC were stained by Feulgen reaction. The nuclear features were evaluated by computer-assisted microscopic image analysis for nuclear area (NA), nuclear perimeter (NP) and nuclear form factor (NF) and correlated with histologic grading of OSCC. Nuclear shape, membrane outline, chromatin clumps, nucleoli, and abnormal mitoses were also evaluated. Results: NA and NP were observed to be significantly increased in OSCC (P < 0.001) when compared with the control group. These values increased in correlation with increasing grades of OSCC. However, NF was found to more in the control group (P < 0.001). Conclusion: It may be concluded from the results that computer-assisted nuclear morphometry is a reliable tool for grading OSCC. A new grading system based on nuclear features for OSCC has been proposed.
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Affiliation(s)
- D B Nandini
- Department of Oral Pathology and Microbiology, College of Dental Sciences, Davangere, Karnataka, India
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