Diagnosis of Pleural Mesothelioma: Is Everything Solved at the Present Time?
Abstract
:1. Introduction
2. Epidemiology and Pathogenesis
3. Presentation
3.1. Symptoms
3.2. Imaging Modalities
4. Diagnosis
4.1. Diagnostic Evaluation—Pleural Effusion Investigation and Tissue Biopsies
4.2. Molecular and Genetic Markers
4.3. Potential New Tests for Diagnosis (Breath Test…)
4.4. Liquid Biopsy in PM
4.5. Artificial Intelligence for PM
5. Staging and Histologic Classification
5.1. Staging
5.2. Histologic Classification
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- British Thoracic Society Standards of Care Committee. BTS statement on malignant mesothelioma in the UK. Thorax 2007, 62 (Suppl. S2), ii1–ii19. [Google Scholar]
- Delgermaa, V.; Takahashi, K.; Park, E.-K.; Le, G.V.; Hara, T.; Sorahan, T. Global mesothelioma deaths reported to the World Health Organization between 1994 and 2008. Bull. World Health Organ. 2011, 89, 716–724. [Google Scholar] [CrossRef] [PubMed]
- Diandini, R.; Takahashi, K.; Park, E.; Jiang, Y.; Movahed, M.; Le, G.V.; Lee, L.J.; Delgermaa, V.; Kim, R. Potential years of life lost (PYLL) caused by asbestos-related diseases in the world. Am. J. Ind. Med. 2013, 56, 993–1000. [Google Scholar] [CrossRef]
- Scherpereel, A.; Antonia, S.; Bautista, Y.; Grossi, F.; Kowalski, D.; Zalcman, G.; Nowak, A.K.; Fujimoto, N.; Peters, S.; Tsao, A.S.; et al. First-line nivolumab plus ipilimumab versus chemotherapy for the treatment of unresectable malignant pleural mesothelioma: Patient-reported outcomes in CheckMate 743. Lung Cancer 2022, 167, 8–16. [Google Scholar] [CrossRef] [PubMed]
- Conway, R.J.; Smith, N.; Cooper, W.; Lynch, G.; Patole, S.; Symonds, J.; Edey, A.; Maskell, N.A.; Bibby, A.C.; on behalf of the ASSESS-meso Collaborative group. Reflecting real-world patients with mesothelioma in research: An interim report of baseline characteristics from the ASSESS-meso cohort. ERJ Open Res. 2023, 9, 00467-2023. [Google Scholar] [CrossRef]
- Tsao, A.S.; Lindwasser, O.W.; Adjei, A.A.; Adusumilli, P.S.; Beyers, M.L.; Blumenthal, G.M.; Bueno, R.; Burt, B.M.; Carbone, M.; Dahlberg, S.E.; et al. Current and Future Management of Malignant Mesothelioma: A Consensus Report from the National Cancer Institute Thoracic Malignancy Steering Committee, International Association for the Study of Lung Cancer, and Mesothelioma Applied Research Foundation. J. Thorac. Oncol. 2018, 13, 1655–1667. [Google Scholar] [CrossRef]
- Lacourt, A.; Gramond, C.; Rolland, P.; Ducamp, S.; Audignon, S.; Astoul, P.; Chamming’S, S.; Ilg, A.G.S.; Rinaldo, M.; Raherison, C.; et al. Occupational and non-occupational attributable risk of asbestos exposure for malignant pleural mesothelioma. Thorax 2014, 69, 532–539. [Google Scholar] [CrossRef] [PubMed]
- Huang, J.; Chan, S.C.; Pang, W.S.; Chow, S.H.; Lok, V.; Zhang, L.; Lin, X.; Lucero-Prisno, D.E., 3rd; Xu, W.; Zheng, Z.J.; et al. Global Incidence, Risk Factors, and Temporal Trends of Mesothelioma: A Population-Based Study. J. Thorac. Oncol. 2023, 18, 792–802. [Google Scholar] [CrossRef] [PubMed]
- Sahu, R.K.; Ruhi, S.; Jeppu, A.K.; Al-Goshae, H.A.; Syed, A.; Nagdev, S.; Widyowati, R.; Ekasari, W.; Khan, J.; Bhattacharjee, B.; et al. Malignant mesothelioma tumours: Molecular pathogenesis, diagnosis, and therapies accompanying clinical studies. Front. Oncol. 2023, 13, 1204722. [Google Scholar] [CrossRef]
- IARC. Evaluation of Carcinogenic Risks to Humans: Arsenic, Metals, Fibers, and Dusts; IARC monographs: Lyon, France, 2012; Volume 100, pp. 11–465. [Google Scholar]
- Vorster, T.; Mthombeni, J.; teWaterNaude, J.; Phillips, J.I. The Association between the Histological Subtypes of Mesothelioma and Asbestos Exposure Characteristics. Int. J. Environ. Res. Public Heal. 2022, 19, 14520. [Google Scholar] [CrossRef]
- Laaksonen, S.; Kettunen, E.; Sutinen, E.; Ilonen, I.; Vehmas, T.; Törmäkangas, T.; Räsänen, J.; Wolff, H.; Myllärniemi, M. Pulmonary Asbestos Fiber Burden Is Related to Patient Survival in Malignant Pleural Mesothelioma. J. Thorac. Oncol. 2022, 17, 1032–1041. [Google Scholar] [CrossRef]
- Mirabelli, D.; Somigliana, A.B.; Azzolina, D.; Consonni, D.; Barbieri, P.G. Lung fibre burden and risk of malignant mesothe-lioma in shipyard workers: A necropsy-based case–control study. Ann. Work. Expo. Health 2024, 68, 476–485. [Google Scholar] [CrossRef]
- Kadariya, Y.; Sementino, E.; Ruan, M.; Cheung, M.; Hadikhani, P.; Osmanbeyoglu, H.U.; Klein-Szanto, A.J.; Cai, K.; Testa, J.R. Low Exposures to Amphibole or Serpentine Asbestos in Germline Bap1-mutant Mice Induce Mesothelioma Characterized by an Immunosuppressive Tumor Microenvironment. Cancer Res. Commun. 2024, 4, 1004–1015. [Google Scholar] [CrossRef] [PubMed]
- Fiorilla, I.; Martinotti, S.; Todesco, A.M.; Bonsignore, G.; Cavaletto, M.; Patrone, M.; Ranzato, E.; Audrito, V. Chronic Inflammation, Oxidative Stress and Metabolic Plasticity: Three Players Driving the Pro-Tumorigenic Microenvironment in Malignant Mesothelioma. Cells 2023, 12, 2048. [Google Scholar] [CrossRef] [PubMed]
- Carbone, M.; Kanodia, S.; Chao, A.; Miller, A.; Wali, A.; Weissman, D.; Adjei, A.; Baumann, F.; Boffetta, P.; Buck, B.; et al. Consensus Report of the 2015 Weinman International Conference on Mesothelioma. J. Thorac. Oncol. 2016, 11, 1246–1262. [Google Scholar] [CrossRef]
- Attanoos, R.L.; Churg, A.; Galateau-Salle, F.; Gibbs, A.R.; Roggli, V.L. Malignant Mesothelioma and Its Non-Asbestos Causes. Arch. Pathol. Lab. Med. 2018, 142, 753–760. [Google Scholar] [CrossRef]
- Farioli, A.; Ottone, M.; Morganti, A.G.; Compagnone, G.; Romani, F.; Cammelli, S.; Mattioli, S.; Violante, F.S. Radiation-induced mesothelioma among long-term solid cancer survivors: A longitudinal analysis of SEER database. Cancer Med. 2016, 5, 950–959. [Google Scholar] [CrossRef] [PubMed]
- Mazzoni, E.; Bononi, I.; Rotondo, J.C.; Mazziotta, C.; Libener, R.; Guaschino, R.; Gafà, R.; Lanza, G.; Martini, F.; Tognon, M. Sera from Patients with Malignant Pleural Mesothelioma Tested Positive for IgG Antibodies Against SV40 Large T Antigen: The Viral Oncoprotein. J. Oncol. 2022, 2022, 7249912. [Google Scholar] [CrossRef]
- Carbone, M.; Gazdar, A.; Butel, J.S. SV40 and human mesothelioma. Transl. Lung Cancer Res. 2020, 9, S47–S59. [Google Scholar] [CrossRef]
- Hmeljak, J.; Sanchez-Vega, F.; Hoadley, K.A.; Shih, J.; Stewart, C.; Heiman, D.; Tarpey, P.; Danilova, L.; Drill, E.; Gibb, E.A.; et al. Integrative Molecular Characterization of Malignant Pleural Mesothelioma. Cancer Discov. 2018, 8, 1548–1565. [Google Scholar] [CrossRef]
- Liu, R.A.; Wang, B.Y.; Chen, X.; Pu, Y.Q.; Zi, J.J.; Mei, W.; Zhang, Y.P.; Qiu, L.; Xiong, W. Association Study of Pleural Mesothelioma and Oncogenic Simian Virus 40 in the Cro-cidolite Contaminated Area of Dayao County, Yunnan Province, Southwest China. Genet. Test. Mol. Biomark. 2024, 28, 189–198. [Google Scholar] [CrossRef] [PubMed]
- Guo, G.; Chmielecki, J.; Goparaju, C.; Heguy, A.; Dolgalev, I.; Carbone, M.; Seepo, S.; Meyerson, M.; Pass, H.I. Whole-Exome Sequencing Reveals Frequent Genetic Alterations in BAP1, NF2, CDKN2A, and CUL1 in Malignant Pleural Mesothelioma. Cancer Res. 2015, 75, 264–269. [Google Scholar] [CrossRef] [PubMed]
- Panou, V.; Gadiraju, M.; Wolin, A.; Weipert, C.M.; Skarda, E.; Husain, A.N.; Patel, J.D.; Rose, B.; Zhang, S.R.; Weatherly, M.; et al. Frequency of Germline Mutations in Cancer Susceptibility Genes in Malignant Mes-othelioma. J. Clin. Oncol. 2018, 36, 2863–2871. [Google Scholar] [CrossRef] [PubMed]
- Betti, M.; Aspesi, A.; Sculco, M.; Matullo, G.; Magnani, C.; Dianzani, I. Genetic predisposition for malignant mesothelioma: A concise review. Mutat. Res. Mol. Mech. Mutagen. 2019, 781, 1–10. [Google Scholar] [CrossRef]
- Betti, M.; Aspesi, A.; Ferrante, D.; Sculco, M.; Righi, L.; Mirabelli, D.; Napoli, F.; Rondón-Lagos, M.; Casalone, E.; Lutati, F.V.; et al. Sensitivity to asbestos is increased in patients with mesothelioma and pathogenic germline variants in BAP1 or other DNA repair genes. Genes Chromosom. Cancer 2018, 57, 573–583. [Google Scholar] [CrossRef]
- Pastorino, S.; Yoshikawa, Y.; Pass, H.I.; Emi, M.; Nasu, M.; Pagano, I.; Takinishi, Y.; Yamamoto, R.; Minaai, M.; Hashimoto-Tamaoki, T.; et al. A Subset of Mesotheliomas With Improved Survival Occurring in Carriers of BAP1 and Other Germline Mutations. J. Clin. Oncol. 2018, 36, 3485–3494. [Google Scholar] [CrossRef] [PubMed]
- Louw, A.; Panou, V.; Szejniuk, W.M.; Meristoudis, C.; Chai, S.M.; van Vliet, C.; Lee, Y.C.G.; Dick, I.M.; Firth, T.; Lynggaard, L.A.; et al. BAP1 Loss by Immunohistochemistry Predicts Improved Survival to First-Line Platinum and Pemetrexed Chemotherapy for Patients With Pleural Mesothelioma: A Validation Study. J. Thorac. Oncol. 2022, 17, 921–930. [Google Scholar] [CrossRef]
- Yates, D.H.; Corrin, B.; Stidolph, P.N.; Browne, K. Malignant Mesothelioma in South East England: Clinicopathological Expe-rience of 272 Cases. Thorax 1997, 52, 507–512. [Google Scholar] [CrossRef]
- Woolhouse, I.; Bishop, L.; Darlison, L.; De Fonseka, D.; Edey, A.; Edwards, J.; Faivre-Finn, C.; A Fennell, D.; Holmes, S.; Kerr, K.M.; et al. British Thoracic Society Guideline for the investigation and management of malignant pleural mesothelioma. Thorax 2018, 73, i1–i30. [Google Scholar] [CrossRef]
- Fortin, M.; Cabon, E.; Berbis, J.; Laroumagne, S.; Guinde, J.; Elharrar, X.; Dutau, H.; Astoul, P. Diagnostic Value of Computed Tomography Imaging Features in Malignant Pleural Mesothelioma. Respiration 2020, 99, 28–34. [Google Scholar] [CrossRef]
- Tsim, S.; Stobo, D.B.; Alexander, L.; Kelly, C.; Blyth, K.G. The diagnostic performance of routinely acquired and reported computed tomography imaging in patients presenting with suspected pleural malignancy. Lung Cancer 2016, 103, 38–43. [Google Scholar] [CrossRef]
- Metintas, M.; Ucgun, I.; Elbek, O.; Erginel, S.; Metintas, S.; Kolsuz, M.; Harmanci, E.; Alatas, F.; Hillerdal, G.; Ozkan, R.; et al. Computed tomography features in malignant pleural mesothelioma and other commonly seen pleural diseases. Eur. J. Radiol. 2002, 41, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Qureshi, N.R.; Gleeson, F.V. Imaging of Pleural Disease. Clin. Chest Med. 2006, 27, 193–213. [Google Scholar] [CrossRef] [PubMed]
- Roca, E.; Laroumagne, S.; Vandemoortele, T.; Berdah, S.; Dutau, H.; Maldonado, F.; Astoul, P. 18F-Fluoro-2-Deoxy-D-Glucose Positron Emission Tomography/Computed Tomography Fused Imaging in Malignant Mesothelioma Patients: Looking from Outside Is Not Enough. Lung Cancer 2013, 79, 187–190. [Google Scholar] [CrossRef]
- Pinelli, V.; Roca, E.; Lucchini, S.; Laroumagne, S.; Loundou, A.; Dutau, H.; Maldonado, F.; Astoul, P. Positron Emission Tomography/Computed Tomography for the Pleural Staging of Ma-lignant Pleural Mesothelioma: How Accurate Is It? Respiration 2015, 89, 558–564. [Google Scholar] [CrossRef]
- Porcel, J.M.; Hernández, P.; Martínez-Alonso, M.; Bielsa, S.; Salud, A. Accuracy of Fluorodeoxyglucose-PET Imaging for Differentiating Benign from Malignant Pleural Effusions: A Meta-Analysis. Chest 2015, 147, 502–512. [Google Scholar] [CrossRef] [PubMed]
- Tsim, S.; Humphreys, C.A.; Cowell, G.W.; Stobo, D.B.; Noble, C.; Woodward, R.; Kelly, C.A.; Alexander, L.; Foster, J.E.; Dick, C.; et al. Early Contrast Enhancement: A novel magnetic resonance imaging biomarker of pleural malignancy. Lung Cancer 2018, 118, 48–56. [Google Scholar] [CrossRef]
- Arnold, D.T.; De Fonseka, D.; Perry, S.; Morley, A.; Harvey, J.E.; Medford, A.; Brett, M.; Maskell, N.A. Investigating unilateral pleural effusions: The role of cytology. Eur. Respir. J. 2018, 52, 1801254. [Google Scholar] [CrossRef]
- Roberts, M.E.; Rahman, N.M.; A Maskell, N.; Bibby, A.C.; Blyth, K.G.; Corcoran, J.P.; Edey, A.; Evison, M.; de Fonseka, D.; Hallifax, R.; et al. British Thoracic Society Guideline for pleural disease. Thorax 2023, 78, 1143–1156. [Google Scholar] [CrossRef]
- Porcel, J.M. Biomarkers in the diagnosis of pleural diseases: A 2018 update. Ther. Adv. Respir. Dis. 2018, 12, 1753466618808660. [Google Scholar] [CrossRef]
- Froudarakis, M.E.; Plojoux, J.; Kaspi, E.; Anevlavis, S.; Laroumagne, S.; Karpathiou, G.; Roca, E.; Adler, D.; Dutau, H.; Astoul, P. Positive pleural cytology is an indicator for visceral pleural invasion in metastatic pleural effusions. Clin. Respir. J. 2017, 12, 1011–1016. [Google Scholar] [CrossRef]
- Sundaralingam, A.; Aujayeb, A.; Akca, B.; Tiedeman, C.; George, V.; Carling, M.; Brown, J.; Banka, R.; Addala, D.; Bedawi, E.O.; et al. Achieving Molecular Profiling in Pleural Biopsies: A Multicenter, Retrospective Cohort Study. Chest 2023, 163, 1328–1339. [Google Scholar] [CrossRef]
- Li, D.; Jackson, K.; Panchal, R.; Aujayeb, A. Local Anaesthetic Thoracoscopy for Pleural Effusion—A Narrative Review. Healthcare 2022, 10, 1978. [Google Scholar] [CrossRef] [PubMed]
- Hallifax, R.J.; Corcoran, J.P.; Ahmed, A.; Nagendran, M.; Rostom, H.; Hassan, N.; Maruthappu, M.; Psallidas, I.; Manuel, A.; Gleeson, F.V.; et al. Physician-Based Ultrasound-Guided Biopsy for Diagnosing Pleural Disease. Chest 2014, 146, 1001–1006. [Google Scholar] [CrossRef] [PubMed]
- Laursen, C.B.; Naur, T.M.; Bodtger, U.; Colella, S.; Naqibullah, M.; Minddal, V.; Konge, L.; Davidsen, J.R.; Hansen, N.C.; Graumann, O.; et al. Ultrasound-Guided Lung Biopsy in the Hands of Respiratory Physicians: Diag-nostic Yield and Complications in 215 Consecutive Patients in 3 Centers. J. Bronchol. Interv. Pulmonol. 2016, 23, 220–228. [Google Scholar] [CrossRef]
- Treglia, G.; Sadeghi, R.; Annunziata, S.; Lococo, F.; Cafarotti, S.; Bertagna, F.; Prior, J.O.; Ceriani, L.; Giovanella, L. Diagnostic Accuracy of 18F-FDG-PET and PET/CT in the Differential Diagnosis between Malignant and Benign Pleural Lesions: A Systematic Review and Meta-Analysis. Acad. Radiol. 2014, 21, 11–20. [Google Scholar] [CrossRef] [PubMed]
- de Fonseka, D.; Arnold, D.T.; Smartt, H.J.M.; Culliford, L.; Stadon, L.; Tucker, E.; Morley, A.; Zahan-Evans, N.; Bibby, A.C.; Lynch, G.; et al. PET-CT-Guided versus CT-Guided Biopsy in Suspected Malignant Pleural Thickening: A Randomised Trial. Eur. Respir. J. 2024, 63, 2301295. [Google Scholar] [CrossRef] [PubMed]
- Takeda, M.; Kasai, T.; Enomoto, Y.; Takano, M.; Morita, K.; Kadota, E.; Nonomura, A. 9p21 deletion in the diagnosis of malignant mesothelioma, using fluorescence in situ hybridization analysis. Pathol. Int. 2010, 60, 395–399. [Google Scholar] [CrossRef]
- Destro, A.; Ceresoli, G.; Falleni, M.; Zucali, P.; Morenghi, E.; Bianchi, P.; Pellegrini, C.; Cordani, N.; Vaira, V.; Alloisio, M.; et al. EGFR overexpression in malignant pleural mesothelioma. Lung Cancer 2006, 51, 207–215. [Google Scholar] [CrossRef]
- Rena, O.; Boldorini, L.R.; Gaudino, E.; Casadio, C. Epidermal growth factor receptor overexpression in malignant pleural mesothelioma: Prognostic correlations. J. Surg. Oncol. 2011, 104, 701–705. [Google Scholar] [CrossRef]
- Garland, L.L.; Rankin, C.; Gandara, D.R.; Rivkin, S.E.; Scott, K.M.; Nagle, R.B.; Klein-Szanto, A.J.; Testa, J.R.; Altomare, D.A.; Borden, E.C. Phase II Study of Erlotinib in Patients With Malignant Pleural Mesothelioma: A Southwest Oncology Group Study. J. Clin. Oncol. 2007, 25, 2406–2413. [Google Scholar] [CrossRef]
- Jackman, D.M.; Kindler, H.L.; Yeap, B.Y.; Fidias, P.; Salgia, R.; Lucca, J.; Morse, L.K.; Ostler, P.A.; Johnson, B.E.; Jänne, P.A. Erlotinib plus bevacizumab in previously treated patients with malignant pleural mesothelioma. Cancer 2008, 113, 808–814. [Google Scholar] [CrossRef] [PubMed]
- Govindan, R.; Kratzke, R.A.; Herndon, J.E.; Niehans, G.A.; Vollmer, R.; Watson, D.; Green, M.R.; Kindler, H.L. Gefitinib in Patients with Malignant Mesothelioma: A Phase II Study by the Cancer and Leukemia Group B. Clin. Cancer Res. 2005, 11, 2300–2304. [Google Scholar] [CrossRef] [PubMed]
- Agarwal, V.; Lind, M.J.; Cawkwell, L. Targeted Epidermal Growth Factor Receptor Therapy in Malignant Pleural Mesothelioma: Where Do We Stand? Cancer Treat. Rev. 2011, 37, 533–542. [Google Scholar] [CrossRef] [PubMed]
- Brevet, M.; Shimizu, S.; Bott, M.J.; Shukla, N.; Zhou, Q.; Olshen, A.B.; Rusch, V.; Ladanyi, M. Coactivation of Receptor Tyrosine Kinases in Malignant Mesothelioma as a Rationale for Combination Targeted Therapy. J. Thorac. Oncol. 2011, 6, 864–874. [Google Scholar] [CrossRef]
- Zhu, C.; Wei, Y.; Wei, X. AXL receptor tyrosine kinase as a promising anti-cancer approach: Functions, molecular mechanisms and clinical applications. Mol. Cancer 2019, 18, 1–22. [Google Scholar] [CrossRef]
- Fujimori, T.; Grabiec, A.M.; Kaur, M.; Bell, T.J.; Fujino, N.; Cook, P.C.; Svedberg, F.R.; MacDonald, A.S.; A Maciewicz, R.; Singh, D.; et al. The Axl receptor tyrosine kinase is a discriminator of macrophage function in the inflamed lung. Mucosal Immunol. 2015, 8, 1021–1030. [Google Scholar] [CrossRef]
- Davis, A.; Ke, H.; Kao, S.; Pavlakis, N. An Update on Emerging Therapeutic Options for Malignant Pleural Mesothelioma. Lung Cancer Targets Ther. 2022, 13, 1–12. [Google Scholar] [CrossRef]
- Fu, M.; Hu, Y.; Lan, T.; Guan, K.-L.; Luo, T.; Luo, M. The Hippo signalling pathway and its implications in human health and diseases. Signal Transduct. Target. Ther. 2022, 7, 1–20. [Google Scholar] [CrossRef]
- Currey, L.; Thor, S.; Piper, M. TEAD family transcription factors in development and disease. Development 2021, 148, dev196675. [Google Scholar] [CrossRef]
- Ma, S.; Meng, Z.; Chen, R.; Guan, K.-L. The Hippo Pathway: Biology and Pathophysiology. Annu. Rev. Biochem. 2019, 88, 577–604. [Google Scholar] [CrossRef] [PubMed]
- Rouleau, G.A.; Merel, P.; Lutchman, M.; Sanson, M.; Zucman, J.; Marineau, C.; Hoang-Xuan, K.; Demczuk, S.; Desmaze, C.; Plougastel, B.; et al. Alteration in a new gene encoding a putative membrane-organizing protein causes neuro-fibromatosis type 2. Nature 1993, 363, 515–521. [Google Scholar] [CrossRef] [PubMed]
- Meiller, C.; Montagne, F.; Hirsch, T.Z.; Caruso, S.; de Wolf, J.; Bayard, Q.; Assié, J.-B.; Meunier, L.; Blum, Y.; Quetel, L.; et al. Multi-site tumor sampling highlights molecular intra-tumor heterogeneity in malignant pleural mesothelioma. Genome Med. 2021, 13, 113. [Google Scholar] [CrossRef] [PubMed]
- Xu, H.-M.; Gutmann, D.H. Merlin differentially associates with the microtubule and actin cytoskeleton. J. Neurosci. Res. 1998, 51, 403–415. [Google Scholar] [CrossRef]
- Sekido, Y. Inactivation of Merlin in malignant mesothelioma cells and the Hippo signaling cascade dysregulation. Pathol. Int. 2011, 61, 331–344. [Google Scholar] [CrossRef]
- Curto, M.; McClatchey, A.I. Nf2/Merlin: A Coordinator of Receptor Signalling and Intercellular Contact. Br. J. Cancer 2008, 98, 256–262. [Google Scholar] [CrossRef]
- Sekido, Y. NF2/Merlin Inactivation and Potential Therapeutic Targets in Mesothelioma. Int. J. Mol. Sci. 2018, 19, 988. [Google Scholar] [CrossRef]
- Cedrés, S.; Montero, M.A.; Martinez, P.; Martinez, A.; Rodríguez-Freixinós, V.; Torrejon, D.; Gabaldon, A.; Salcedo, M.; Ramon, Y.C.S.; Felip, E. Exploratory analysis of activation of PTEN-PI3K pathway and downstream proteins in malignant pleural mesothelioma (MPM). Lung Cancer 2012, 77, 192–198. [Google Scholar] [CrossRef]
- Szlosarek, P.W.; Klabatsa, A.; Pallaska, A.; Sheaff, M.; Smith, P.; Crook, T.; Grimshaw, M.J.; Steele, J.P.; Rudd, R.M.; Balkwill, F.R.; et al. In vivo Loss of Expression of Argininosuccinate Synthetase in Malignant Pleural Mesothelioma Is a Biomarker for Susceptibility to Arginine Depletion. Clin. Cancer Res. 2006, 12, 7126–7131. [Google Scholar] [CrossRef]
- Philip, R.; Campbell, E.; Wheatley, D.N. Arginine Deprivation, Growth Inhibition and Tumour Cell Death: Enzymatic Deg-radation of Arginine in Normal and Malignant Cell Cultures. Br. J. Cancer 2003, 88, 613–623. [Google Scholar] [CrossRef]
- Sharma, S.; Agnihotri, N.; Kumar, S. Targeting fuel pocket of cancer cell metabolism: A focus on glutaminolysis. Biochem. Pharmacol. 2022, 198, 114943. [Google Scholar] [CrossRef] [PubMed]
- Chang, K.; Pastan, I. Molecular cloning of mesothelin, a differentiation antigen present on mesothelium, mesotheliomas, and ovarian cancers. Proc. Natl. Acad. Sci. USA 1996, 93, 136–140. [Google Scholar] [CrossRef]
- Bera, T.K.; Pastan, I. Mesothelin Is Not Required for Normal Mouse Development or Reproduction. Mol. Cell. Biol. 2000, 20, 2902–2906. [Google Scholar] [CrossRef]
- Melaiu, O.; Stebbing, J.; Lombardo, Y.; Bracci, E.; Uehara, N.; Bonotti, A.; Cristaudo, A.; Foddis, R.; Mutti, L.; Barale, R.; et al. MSLN Gene Silencing Has an Anti-Malignant Effect on Cell Lines Overexpressing Mesothelin Deriving from Malignant Pleural Mesothelioma. PLoS ONE 2014, 9, e85935. [Google Scholar] [CrossRef]
- Kaneko, O.; Gong, L.; Zhang, J.; Hansen, J.K.; Hassan, R.; Lee, B.; Ho, M. A Binding Domain on Mesothelin for CA125/MUC1. J. Biol. Chem. 2009, 284, 3739–3749. [Google Scholar] [CrossRef] [PubMed]
- Szlosarek, P.W.; Creelan, B.; Sarkodie, T.; Nolan, L.; Taylor, P.; Olevsky, O.; Grosso, F.; Cortinovis, D.; Chitnis, M.; Roy, A.; et al. Abstract CT007: Phase 2-3 trial of pegargiminase plus chemotherapy versus placebo plus chemotherapy in patients with non-epithelioid pleural mesothelioma. Cancer Res. 2023, 83, CT007. [Google Scholar] [CrossRef]
- Servais, E.L.; Colovos, C.; Rodriguez, L.; Bograd, A.J.; Nitadori, J.-I.; Sima, C.; Rusch, V.W.; Sadelain, M.; Adusumilli, P.S. Mesothelin Overexpression Promotes Mesothelioma Cell Invasion and MMP-9 Secretion in an Orthotopic Mouse Model and in Epithelioid Pleural Mesothelioma Patients. Clin. Cancer Res. 2012, 18, 2478–2489. [Google Scholar] [CrossRef]
- Argani, P.; Iacobuzio-Donahue, C.; Ryu, B.; Rosty, C.; Goggins, M.; Wilentz, R.; Murugesan, S.R.; Leach, S.; Jaffee, E.; Yeo, C.; et al. Mesothelin is overexpressed in the vast majority of ductal adenocarcinomas of the pancreas: Identification of a new pancreatic cancer marker by serial analysis of gene expression (SAGE). Clin. Cancer Res. 2001, 7, 3862–3868. [Google Scholar]
- Cheng, W.-F.; Huang, C.-Y.; Chang, M.-C.; Hu, Y.-H.; Chiang, Y.-C.; Chen, Y.-L.; Hsieh, C.-Y.; Chen, C.-A. High mesothelin correlates with chemoresistance and poor survival in epithelial ovarian carcinoma. Br. J. Cancer 2009, 100, 1144–1153. [Google Scholar] [CrossRef]
- Inoue, S.; Tsunoda, T.; Riku, M.; Ito, H.; Inoko, A.; Murakami, H.; Ebi, M.; Ogasawara, N.; Pastan, I.; Kasugai, K.; et al. Diffuse mesothelin expression leads to worse prognosis through enhanced cellular proliferation in colorectal cancer. Oncol. Lett. 2020, 19, 1741–1750. [Google Scholar] [CrossRef]
- Pastan, I.; Hassan, R. Discovery of Mesothelin and Exploiting It as a Target for Immunotherapy. Cancer Res. 2014, 74, 2907–2912. [Google Scholar] [CrossRef]
- Hassan, R.; Remaley, A.T.; Sampson, M.L.; Zhang, J.; Cox, D.D.; Pingpank, J.; Alexander, R.; Willingham, M.; Pastan, I.; Onda, M. Detection and Quantitation of Serum Mesothelin, a Tumor Marker for Patients with Mesothelioma and Ovarian Cancer. Clin. Cancer Res. 2006, 12, 447–453. [Google Scholar] [CrossRef] [PubMed]
- Yu, Y.; Ryan, B.M.; Thomas, A.; Morrow, B.; Zhang, J.; Kang, Z.; Zingone, A.; Onda, M.; Hassan, R.; Pastan, I.; et al. Elevated Serum Megakaryocyte Potentiating Factor as a Predictor of Poor Survival in Patients with Mesothelioma and Primary Lung Cancer. J. Appl. Lab. Med. 2018, 3, 166–177. [Google Scholar] [CrossRef] [PubMed]
- Grigoriu, B.D.; Chahine, B.; Vachani, A.; Gey, T.; Conti, M.; Sterman, D.H.; Marchandise, G.; Porte, H.; Albelda, S.M.; Scherpereel, A. Kinetics of Soluble Mesothelin in Patients with Malignant Pleural Mesothelioma during Treatment. Am. J. Respir. Crit. Care Med. 2009, 179, 950–954. [Google Scholar] [CrossRef]
- Chen, Y.-L.; Chang, M.-C.; Chiang, Y.-C.; Lin, H.-W.; Sun, N.-Y.; Chen, C.-A.; Sun, W.-Z.; Cheng, W.-F. Immuno-modulators enhance antigen-specific immunity and anti-tumor effects of mesothelin-specific chimeric DNA vaccine through promoting DC maturation. Cancer Lett. 2018, 425, 152–163. [Google Scholar] [CrossRef] [PubMed]
- Nishikawa, H.; Wu, W.; Koike, A.; Kojima, R.; Gomi, H.; Fukuda, M.; Ohta, T. BRCA1 Associated Protein 1 Interferes with BRCA1/BARD1 RING Heterodimer Ac-tivity. Cancer Res. 2009, 69, 111–119. [Google Scholar] [CrossRef]
- Lord, C.J.; Ashworth, A. PARP inhibitors: Synthetic lethality in the clinic. Science 2017, 355, 1152–1158. [Google Scholar] [CrossRef] [PubMed]
- Duan, R.; Du, W.; Guo, W. EZH2: A novel target for cancer treatment. J. Hematol. Oncol. 2020, 13, 104. [Google Scholar] [CrossRef]
- Kim, J.; Lee, Y.; Lu, X.; Song, B.; Fong, K.-W.; Cao, Q.; Licht, J.D.; Zhao, J.C.; Yu, J. Polycomb- and Methylation-Independent Roles of EZH2 as a Transcription Activator. Cell Rep. 2018, 25, 2808–2820.e4. [Google Scholar] [CrossRef]
- Fuso Nerini, I.; Roca, E.; Mannarino, L.; Grosso, F.; Frapolli, R.; D‘Incalci, M. Is DNA Repair a Potential Target for Effective Therapies against Malignant Mesothelioma? Cancer Treat. Rev. 2020, 90, 102101. [Google Scholar] [CrossRef]
- Aliagas, E.; Alay, A.; Martínez-Iniesta, M.; Hernández-Madrigal, M.; Cordero, D.; Gausachs, M.; Pros, E.; Saigí, M.; Busacca, S.; Sharkley, A.J.; et al. Efficacy of CDK4/6 Inhibitors in Preclinical Models of Malignant Pleural Mesothelioma. Br. J. Cancer 2021, 125, 1365–1376. [Google Scholar] [CrossRef]
- Mangiante, L.; Alcala, N.; Sexton-Oates, A.; Di Genova, A.; Gonzalez-Perez, A.; Khandekar, A.; Bergstrom, E.N.; Kim, J.; Liu, X.; Blazquez-Encinas, R.; et al. Multiomic analysis of malignant pleural mesothelioma identifies molecular axes and specialized tumor profiles driving intertumor heterogeneity. Nat. Genet. 2023, 55, 607–618. [Google Scholar] [CrossRef] [PubMed]
- Cui, A.; Jin, X.-G.; Zhai, K.; Tong, Z.-H.; Shi, H.-Z. Diagnostic values of soluble mesothelin-related peptides for malignant pleural mesothelioma: Updated meta-analysis. BMJ Open 2014, 4, e004145. [Google Scholar] [CrossRef] [PubMed]
- Hooper, C.E.; Lyburn, I.D.; Searle, J.; Darby, M.; Hall, T.; Hall, D.; Morley, A.; White, P.; Rahman, N.M.; De Winton, E.; et al. The South West Area Mesothelioma and Pemetrexed trial: A multicentre prospective observational study evaluating novel markers of chemotherapy response and prognostication. Br. J. Cancer 2015, 112, 1175–1182. [Google Scholar] [CrossRef]
- Pass, H.I.; Wolaniuk, D.; Wali, A.; Thiel, R.; Hellstrom, I.; Hellstrom, K.; Sardesai, N.Y. Soluble mesothelin related peptides: A potential biomarker for malignant pleural mesothelioma. J. Clin. Oncol. 2005, 23, 9532. [Google Scholar] [CrossRef]
- Pass, H.I.; Alimi, M.; Carbone, M.; Yang, H.; Goparaju, C.M. Mesothelioma Biomarkers: A Review Highlighting Contributions from the Early Detection Research Network. Cancer Epidemiology Biomarkers Prev. 2020, 29, 2524–2540. [Google Scholar] [CrossRef]
- Sorino, C.; Mondoni, M.; Marchetti, G.; Agati, S.; Inchingolo, R.; Mei, F.; Flamini, S.; Lococo, F.; Feller-Kopman, D. Pleural Mesothelioma: Advances in Blood and Pleural Biomarkers. J. Clin. Med. 2023, 12, 7006. [Google Scholar] [CrossRef] [PubMed]
- Lamote, K.; Vynck, M.; Thas, O.; Van Cleemput, J.; Nackaerts, K.; van Meerbeeck, J.P. Exhaled breath to screen for malignant pleural mesothelioma: A validation study. Eur. Respir. J. 2017, 50, 1700919. [Google Scholar] [CrossRef]
- Zwijsen, K.; Schillebeeckx, E.; Janssens, E.; Cleemput, J.V.; Richart, T.; Surmont, V.F.; Nackaerts, K.; Marcq, E.; van Meerbeeck, J.P.; Lamote, K. Determining the Clinical Utility of a Breath Test for Screening an Asbes-tos-Exposed Population for Pleural Mesothelioma: Baseline Results. J. Breath. Res. 2023, 17, 047105. [Google Scholar] [CrossRef]
- Cristaudo, A.; Bonotti, A.; Guglielmi, G.; Fallahi, P.; Foddis, R. Serum Mesothelin and Other Biomarkers: What Have We Learned in the Last Decade? J. Thorac. Dis. 2018, 10 (Suppl. S2), S353–S359. [Google Scholar] [CrossRef]
- Arnold, D.T.; De Fonseka, D.; Hamilton, F.W.; Rahman, N.M.; A Maskell, N. Prognostication and monitoring of mesothelioma using biomarkers: A systematic review. Br. J. Cancer 2017, 116, 731–741. [Google Scholar] [CrossRef] [PubMed]
- Creaney, J.; Robinson, B.W.S. Malignant Mesothelioma Biomarkers: From Discovery to Use in Clinical Practice for Diagnosis, Monitoring, Screening, and Treatment. Chest 2017, 152, 143–149. [Google Scholar] [CrossRef]
- Robinson, B.W.; Creaney, J.; Lake, R.; Nowak, A.; Musk, A.W.; de Klerk, N.; Winzell, P.; Hellstrom, K.E.; Hellstrom, I. Mesothelin-family proteins and diagnosis of mesothelioma. Lancet 2003, 362, 1612–1616. [Google Scholar] [CrossRef]
- Pass, H.I.; Lott, D.; Lonardo, F.; Harbut, M.; Liu, Z.; Tang, N.; Carbone, M.; Webb, C.; Wali, A. Asbestos Exposure, Pleural Mesothelioma, and Serum Osteopontin Levels. New Engl. J. Med. 2005, 353, 1564–1573. [Google Scholar] [CrossRef]
- Creaney, J.; Francis, R.J.; Dick, I.M.; Musk, A.W.; Robinson, B.W.; Byrne, M.J.; Nowak, A.K. Serum Soluble Mesothelin Concentrations in Malignant Pleural Mesothelioma: Relationship to Tumor Volume, Clinical Stage, and Changes in Tumor Burden. Clin. Cancer Res. 2011, 17, 1181–1189. [Google Scholar] [CrossRef]
- Wheatley-Price, P.; Yang, B.; Patsios, D.; Patel, D.; Ma, C.; Xu, W.; Leighl, N.; Feld, R.; Cho, B.J.; O‘Sullivan, B.; et al. Soluble Mesothelin-Related Peptide and Osteopontin As Markers of Response in Malignant Mesothelioma. J. Clin. Oncol. 2010, 28, 3316–3322. [Google Scholar] [CrossRef] [PubMed]
- Cristaudo, A.; Bonotti, A.; Simonini, S.; Vivaldi, A.; Guglielmi, G.; Ambrosino, N.; Chella, A.; Lucchi, M.; Mussi, A.; Foddis, R. Combined Serum Mesothelin and Plasma Osteopontin Measurements in Malignant Pleural Mesothelioma. J. Thorac. Oncol. 2011, 6, 1587–1593. [Google Scholar] [CrossRef] [PubMed]
- Pass, H.I.; Levin, S.M.; Harbut, M.R.; Melamed, J.; Chiriboga, L.; Donington, J.; Huflejt, M.; Carbone, M.; Chia, D.; Goodglick, L.; et al. Fibulin-3 as a Blood and Effusion Biomarker for Pleural Mesothelioma. N. Engl. J. Med. 2012, 367, 1417–1427. [Google Scholar] [CrossRef]
- Creaney, J.; Dick, I.M.; Meniawy, T.M.; Leong, S.L.; Leon, J.S.; Demelker, Y.; Segal, A.; Musk, A.W.; Lee, Y.C.G.; Skates, S.J.; et al. Comparison of fibulin-3 and mesothelin as markers in malignant mesothelioma. Thorax 2014, 69, 895–902. [Google Scholar] [CrossRef]
- Hu, Z.-D.; Liu, X.-C.; Ding, C.-M.; Hu, C.-J. Diagnostic accuracy of osteopontin for malignant pleural mesothelioma: A systematic review and meta-analysis. Clin. Chim. Acta 2014, 433, 44–48. [Google Scholar] [CrossRef]
- Hollevoet, K.; Nackaerts, K.; Gosselin, R.; De Wever, W.; Bosquée, L.; De Vuyst, P.; Germonpré, P.; Kellen, E.; Legrand, C.; Kishi, Y.; et al. Soluble Mesothelin, Megakaryocyte Potentiating Factor, and Osteopontin as Markers of Patient Response and Outcome in Mesothelioma. J. Thorac. Oncol. 2011, 6, 1930–1937. [Google Scholar] [CrossRef]
- Kirschner, M.B.; Pulford, E.; Hoda, M.A.; Rozsas, A.; Griggs, K.; Cheng, Y.Y.; Edelman, J.J.B.; Kao, S.C.; Hyland, R.; Dong, Y.; et al. Fibulin-3 levels in malignant pleural mesothelioma are associated with prognosis but not diagnosis. Br. J. Cancer 2015, 113, 963–969. [Google Scholar] [CrossRef]
- Yang, H.; Rivera, Z.; Jube, S.; Nasu, M.; Bertino, P.; Goparaju, C.; Franzoso, G.; Lotze, M.T.; Krausz, T.; Pass, H.I.; et al. Programmed necrosis induced by asbestos in human mesothelial cells causes high-mobility group box 1 protein release and resultant inflammation. Proc. Natl. Acad. Sci. USA 2010, 107, 12611–12616. [Google Scholar] [CrossRef] [PubMed]
- Tabata, C.; Shibata, E.; Tabata, R.; Kanemura, S.; Mikami, K.; Nogi, Y.; Masachika, E.; Nishizaki, T.; Nakano, T. Serum HMGB1 as a prognostic marker for malignant pleural mesothelioma. BMC Cancer 2013, 13, 205. [Google Scholar] [CrossRef]
- Napolitano, A.; Antoine, D.J.; Pellegrini, L.; Baumann, F.; Pagano, I.; Pastorino, S.; Goparaju, C.M.; Prokrym, K.; Canino, C.; Pass, H.I.; et al. HMGB1 and Its Hyperacetylated Isoform are Sensitive and Specific Serum Biomarkers to Detect Asbestos Exposure and to Identify Mesothelioma Patients. Clin. Cancer Res. 2016, 22, 3087–3096. [Google Scholar] [CrossRef]
- Kao, S.C.; Kirschner, M.B.; A Cooper, W.; Tran, T.; Burgers, S.; Wright, C.; Korse, T.; Broek, D.v.D.; Edelman, J.; Vallely, M.; et al. A proteomics-based approach identifies secreted protein acidic and rich in cysteine as a prognostic biomarker in malignant pleural mesothelioma. Br. J. Cancer 2016, 114, 524–531. [Google Scholar] [CrossRef]
- Nowak, A.K.; Brosseau, S.; Cook, A.; Zalcman, G. Antiangiogeneic Strategies in Mesothelioma. Front. Oncol. 2020, 10, 126. [Google Scholar] [CrossRef] [PubMed]
- Zalcman, G.; Mazieres, J.; Margery, J.; Greillier, L.; Audigier-Valette, C.; Moro-Sibilot, D.; Molinier, O.; Corre, R.; Monnet, I.; Gounant, V.; et al. Bevacizumab for newly diagnosed pleural mesothelioma in the Mesothelioma Avastin Cisplatin Pemetrexed Study (MAPS): A randomised, controlled, open-label, phase 3 trial. Lancet 2016, 387, 1405–1414, Erratum in Lancet 2016, 387, e24. [Google Scholar] [CrossRef]
- O‘Brien, J.; Hayder, H.; Zayed, Y.; Peng, C. Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation. Front. Endocrinol. 2018, 9, 402. [Google Scholar] [CrossRef]
- Russo, G.L.; Tessari, A.; Capece, M.; Galli, G.; de Braud, F.; Garassino, M.C.; Palmieri, D. MicroRNAs for the Diagnosis and Management of Malignant Pleural Mesothelioma: A Literature Review. Front. Oncol. 2018, 8, 650. [Google Scholar] [CrossRef]
- Sriram, K.B.; Relan, V.; Clarke, B.E.; Duhig, E.E.; Windsor, M.N.; Matar, K.S.; Naidoo, R.; Passmore, L.; McCaul, E.; Courtney, D.; et al. Pleural Fluid Cell-Free DNA Integrity Index to Identify Cytologically Negative Ma-lignant Pleural Effusions Including Mesotheliomas. BMC Cancer 2012, 12, 428. [Google Scholar] [CrossRef] [PubMed]
- Hylebos, M.; de Beeck, K.O.; Pauwels, P.; Zwaenepoel, K.; van Meerbeeck, J.P.; Van Camp, G. Tumor-specific genetic variants can be detected in circulating cell-free DNA of malignant pleural mesothelioma patients. Lung Cancer 2018, 124, 19–22. [Google Scholar] [CrossRef] [PubMed]
- Pascual, J.; Attard, G.; Bidard, F.-C.; Curigliano, G.; De Mattos-Arruda, L.; Diehn, M.; Italiano, A.; Lindberg, J.; Merker, J.; Montagut, C.; et al. ESMO recommendations on the use of circulating tumour DNA assays for patients with cancer: A report from the ESMO Precision Medicine Working Group. Ann. Oncol. 2022, 33, 750–768. [Google Scholar] [CrossRef]
- Yoneda, K.; Kuwata, T.; Chikaishi, Y.; Mori, M.; Kanayama, M.; Takenaka, M.; Oka, S.; Hirai, A.; Imanishi, N.; Kuroda, K.; et al. Detection of circulating tumor cells with a novel microfluidic system in malignant pleural mesothelioma. Cancer Sci. 2018, 110, 726–733. [Google Scholar] [CrossRef]
- Duong, B.T.V.; Wu, L.; Green, B.J.; Bavaghar-Zaeimi, F.; Wang, Z.; Labib, M.; Zhou, Y.; Cantu, F.J.P.; Jeganathan, T.; Popescu, S.; et al. A Liquid Biopsy for Detecting Circulating Mesothelial Precursor Cells: A New Bi-omarker for Diagnosis and Prognosis in Mesothelioma. EBioMedicine 2020, 61, 103031. [Google Scholar] [CrossRef] [PubMed]
- Ahmadzada, T.; Kao, S.; Reid, G.; Clarke, S.; Grau, G.E.; Hosseini-Beheshti, E. Extracellular vesicles as biomarkers in malignant pleural mesothelioma: A review. Crit. Rev. Oncol. 2020, 150, 102949. [Google Scholar] [CrossRef]
- Faversani, A.; Favero, C.; Dioni, L.; Pesatori, A.C.; Bollati, V.; Montoli, M.; Musso, V.; Terrasi, A.; Fusco, N.; Nosotti, M.; et al. An EBC/Plasma miRNA Signature Discriminates Lung Adenocarcinomas From Pleural Mesothelioma and Healthy Controls. Front. Oncol. 2021, 11, 643280. [Google Scholar] [CrossRef]
- Jotatsu, T.; Izumi, H.; Morimoto, Y.; Yatera, K. Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis. Oncol. Rep. 2020, 44, 2198–2210. [Google Scholar] [CrossRef]
- The MoMar Study Group; Weber, D.G.; Casjens, S.; Brik, A.; Raiko, I.; Lehnert, M.; Taeger, D.; Gleichenhagen, J.; Kollmeier, J.; Bauer, T.T.; et al. Circulating long non-coding RNA GAS5 (growth arrest-specific transcript 5) as a complement marker for the detection of malignant mesothelioma using liquid biopsies. Biomark. Res. 2020, 8, 15. [Google Scholar] [CrossRef]
- Azuaje, F. Artificial intelligence for precision oncology: Beyond patient stratification. npj Precis. Oncol. 2019, 3, 6. [Google Scholar] [CrossRef]
- Cavallari, I.; Urso, L.; Sharova, E.; Pasello, G.; Ciminale, V. Liquid Biopsy in Malignant Pleural Mesothelioma: State of the Art, Pitfalls, and Perspectives. Front. Oncol. 2019, 9, 740. [Google Scholar] [CrossRef]
- Viscardi, G.; Di Natale, D.; Fasano, M.; Brambilla, M.; Lobefaro, R.; De Toma, A.; Galli, G. Circulating biomarkers in malignant pleural mesothelioma. Explor. Target. Anti-tumor Ther. 2020, 1, 434–451. [Google Scholar] [CrossRef]
- Alam, T.M.; Shaukat, K.; Mahboob, H.; Sarwar, M.U.; Iqbal, F.; Nasir, A.; Hameed, I.A.; Luo, S. A Machine Learning Approach for Identification of Malignant Mesothelioma Etiological Factors in an Imbalanced Dataset. Comput. J. 2021, 65, 1740–1751. [Google Scholar] [CrossRef]
- Latif, M.Z.; Shaukat, K.; Luo, S.; Hameed, I.A.; Iqbal, F.; Alam, T.M. Risk Factors Identification of Malignant Mesothelioma: A Data Mining Based Approach. In Proceedings of the 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, Turkey, 12–13 June 2020; pp. 1–6. [Google Scholar] [CrossRef]
- Choudhury, A. Predicting cancer using supervised machine learning: Mesothelioma. Technol. Health Care 2021, 29, 45–58. [Google Scholar] [CrossRef]
- Alam, T.M.; Shaukat, K.; Hameed, I.A.; Khan, W.A.; Sarwar, M.U.; Iqbal, F.; Luo, S. A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining. Biomed. Signal Process. Control. 2021, 68, 102726. [Google Scholar] [CrossRef]
- Gupta, S.; Gupta, M.K.; Kumar, R. A Novel Multi-Neural Ensemble Approach for Cancer Diagnosis. Appl. Artif. Intell. 2022, 36, 2018182. [Google Scholar] [CrossRef]
- Courtiol, P.; Maussion, C.; Moarii, M.; Pronier, E.; Pilcer, S.; Sefta, M.; Manceron, P.; Toldo, S.; Zaslavskiy, M.; Le Stang, N.; et al. Deep learning-based classification of mesothelioma improves prediction of patient outcome. Nat. Med. 2019, 25, 1519–1525. [Google Scholar] [CrossRef]
- Nowak, A.K.; Chansky, K.; Rice, D.C.; Pass, H.I.; Kindler, H.L.; Shemanski, L.; Billé, A.; Rintoul, R.C.; Batirel, H.F.; Thomas, C.F.; et al. The IASLC Mesothelioma Staging Project: Proposals for Revisions of the T De-scriptors in the Forthcoming Eighth Edition of the TNM Classification for Pleural Mesothelioma. J. Thorac. Oncol. 2016, 11, 2089–2099. [Google Scholar] [CrossRef]
- Rusch, V.W.; Chansky, K.; Kindler, H.L.; Nowak, A.K.; Pass, H.I.; Rice, D.C.; Shemanski, L.; Galateau-Sallé, F.; McCaughan, B.C.; Nakano, T.; et al. The IASLC Mesothelioma Staging Project: Proposals for the M Descriptors and for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Mesothelioma. J. Thorac. Oncol. 2016, 11, 2112–2119. [Google Scholar] [CrossRef]
- Pass, H.; Giroux, D.; Kennedy, C.; Ruffini, E.; Cangir, A.K.; Rice, D.; Asamura, H.; Waller, D.; Edwards, J.; Weder, W.; et al. The IASLC Mesothelioma Staging Project: Improving Staging of a Rare Disease Through International Participation. J. Thorac. Oncol. 2016, 11, 2082–2088. [Google Scholar] [CrossRef]
- Billé, A.; Krug, L.M.; Woo, K.M.; Rusch, V.W.; Zauderer, M.G. Contemporary Analysis of Prognostic Factors in Patients with Unresectable Malignant Pleural Mesothelioma. J. Thorac. Oncol. 2016, 11, 249–255. [Google Scholar] [CrossRef] [PubMed]
- Erasmus, J.J.; Truong, M.T.; Smythe, W.R.; Munden, R.F.; Marom, E.M.; Rice, D.C.; Vaporciyan, A.A.; Walsh, G.L.; Sabloff, B.S.; Broemeling, L.D.; et al. Integrated computed tomography-positron emission tomography in patients with potentially resectable malignant pleural mesothelioma: Staging implications. J. Thorac. Cardiovasc. Surg. 2005, 129, 1364–1370. [Google Scholar] [CrossRef]
- Vandemoortele, T.; Laroumagne, S.; Roca, E.; Bylicki, O.; Dales, J.-P.; Dutau, H.; Astoul, P. Positive FDG-PET/CT of the Pleura Twenty Years after Talc Pleurodesis: Three Cases of Benign Talcoma. Respiration 2014, 87, 243–248. [Google Scholar] [CrossRef]
- Zahid, I.; Sharif, S.; Routledge, T.; Scarci, M. What Is the Best Way to Diagnose and Stage Malignant Pleural Mesothelioma? Interact. Cardiovasc. Thorac. Surg. 2011, 12, 254–259. [Google Scholar] [CrossRef]
- Martini, K.; Meier, A.; Opitz, I.; Weder, W.; Veit-Haibach, P.; Stahel, R.A.; Frauenfelder, T. Diagnostic accuracy of sequential co-registered PET+MR in comparison to PET/CT in local thoracic staging of malignant pleural mesothelioma. Lung Cancer 2016, 94, 40–45. [Google Scholar] [CrossRef] [PubMed]
- Gill, R.R.; Umeoka, S.; Mamata, H.; Tilleman, T.R.; Stanwell, P.; Woodhams, R.; Padera, R.F.; Sugarbaker, D.J.; Hatabu, H. Diffusion-Weighted MRI of Malignant Pleural Mesothelioma: Preliminary Assessment of Apparent Diffusion Coefficient in Histologic Subtypes. Am. J. Roentgenol. 2010, 195, W125–W130. [Google Scholar] [CrossRef] [PubMed]
- Chamberlain, M.H.; Fareed, K.; Nakas, A.; Martin-Ucar, A.E.; Waller, D.A. Video-assisted cervical thoracoscopy: A novel approach for diagnosis, staging and pleurodesis of malignant pleural mesothelioma. Eur. J. Cardio-Thoracic Surg. 2008, 34, 200–203. [Google Scholar] [CrossRef]
- Sugarbaker, D.J.; Richards, W.G.; Bueno, R. Extrapleural Pneumonectomy in the Treatment of Epithelioid Malignant Pleural Mesothelioma. Ann. Surg. 2014, 260, 577–582. [Google Scholar] [CrossRef]
- Rice, D.C.; Steliga, M.A.; Stewart, J.; Eapen, G.; Jimenez, C.A.; Lee, J.H.; Hofstetter, W.L.; Marom, E.M.; Mehran, R.J.; Vaporciyan, A.A.; et al. Endoscopic Ultrasound-Guided Fine Needle Aspiration for Staging of Malignant Pleural Mesothelioma. Ann. Thorac. Surg. 2009, 88, 862–869. [Google Scholar] [CrossRef]
- Nakas, A.; Waller, D.; Lau, K.; Richards, C.; Muller, S. The new case for cervical mediastinoscopy in selection for radical surgery for malignant pleural mesothelioma. Eur. J. Cardio-Thoracic Surg. 2012, 42, 72–76. [Google Scholar] [CrossRef]
- Zieliński, M.; Hauer, J.; Hauer, L.; Pankowski, J.; Nabialek, T.; Szlubowski, A. Staging algorithm for diffuse malignant pleural mesothelioma. Interact. Cardiovasc. Thorac. Surg. 2010, 10, 185–189. [Google Scholar] [CrossRef] [PubMed]
- Alvarez, J.M.; Hasani, A.; Segal, A.; Sterret, G.; Millward, M.; Nowak, A.; Musk, W.; Bydder, S. Bilateral thoracoscopy, mediastinoscopy and laparoscopy, in addition to CT, MRI and PET imaging, are essential to correctly stage and treat patients with mesothelioma prior to trimodality therapy. ANZ J. Surg. 2009, 79, 734–738. [Google Scholar] [CrossRef]
- Galateau-Salle, F.; Churg, A.; Roggli, V.; Travis, W.D. The 2015 World Health Organization Classification of Tumors of the Pleura: Advances since the 2004 Classification. J. Thorac. Oncol. 2016, 11, 142–154. [Google Scholar] [CrossRef]
- Sodicoff, M.; Pratt, N.; Trepper, P.; Sholley, M.; Hoffenberg, S. Effects of X-irradiation and the resultant inanition on amylase content of the rat parotid gland. Arch. Oral Biol. 1977, 22, 261–267. [Google Scholar] [CrossRef]
- Husain, A.N.; Colby, T.V.; Ordóñez, N.G.; Allen, T.C.; Attanoos, R.L.; Beasley, M.B.; Butnor, K.J.; Chirieac, L.R.; Churg, A.M.; Dacic, S.; et al. Guidelines for Pathologic Diagnosis of Malignant Mesothelioma 2017 Update of the Consensus Statement From the International Mesothelioma Interest Group. Arch. Pathol. Lab. Med. 2018, 142, 89–108. [Google Scholar] [CrossRef] [PubMed]
- Astoul, P. Rethought histologic classification of pleural mesothelioma to better treat: Go forward from looking back. Transl. Lung Cancer Res. 2020, 9, 1613–1616. [Google Scholar] [CrossRef]
- Churg, A.; Roggli, V.; Galateau-Salle, F. Tumours of the Pleura. In WHO Classification of Tumours of the Lung, Pleura, Thymus, and Heart; Travis, W.D., Brambilla, E., Burke, A.P., Nicholson, A.G., Eds.; International Agency for Research on Cancer: Lyon, France, 2015. [Google Scholar]
- Adams, R.F.; Gray, W.; Davies, R.J.; Gleeson, F.V. Percutaneous Image-Guided Cutting Needle Biopsy of the Pleura in the Diagnosis of Malignant Mesothelioma. Chest 2001, 120, 1798–1802. [Google Scholar] [CrossRef] [PubMed]
- Churg, A.; Hwang, H.; Tan, L.; Qing, G.; Taher, A.; Tong, A.; Bilawich, A.M.; Dacic, S. Malignant Mesothelioma in Situ. Histopathology 2018, 72, 1033–1038. [Google Scholar] [CrossRef]
- Hwang, H.C.; Sheffield, B.S.; Rodriguez, S.; Thompson, K.; Tse, C.H.; Gown, A.M.; Churg, A. Utility of BAP1 Immunohistochemistry and p16 (CDKN2A) FISH in the Diagnosis of Malignant Mesothelioma in Effusion Cytology Specimens. Am. J. Surg. Pathol. 2016, 40, 120–126. [Google Scholar] [CrossRef]
- Mastromarino, M.G.; Lenzini, A.; Aprile, V.; Alì, G.; Bacchin, D.; Korasidis, S.; Ambrogi, M.C.; Lucchi, M. New Insights in Pleural Mesothelioma Classification Update: Diagnostic Traps and Prognostic Implications. Diagnostics 2022, 12, 2905. [Google Scholar] [CrossRef]
- Nicholson, A.G.; Sauter, J.L.; Nowak, A.K.; Kindler, H.L.; Gill, R.R.; Remy-Jardin, M.; Armato, S.G.; Fernandez-Cuesta, L.; Bueno, R.; Alcala, N.; et al. EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach. J. Thorac. Oncol. 2019, 15, 29–49. [Google Scholar] [CrossRef]
- Brcic, L.; Vlacic, G.; Quehenberger, F.; Kern, I. Reproducibility of Malignant Pleural Mesothelioma Histopathologic Subtyping. Arch. Pathol. Lab. Med. 2018, 142, 747–752. [Google Scholar] [CrossRef] [PubMed]
- Pelosi, G.; Papotti, M.; Righi, L.; Rossi, G.; Ferrero, S.; Bosari, S.; Calabrese, F.; Kern, I.; Maisonneuve, P.; Sonzogni, A.; et al. Pathologic Grading of Malignant Pleural Mesothelioma: An Evidence-Based Proposal. J. Thorac. Oncol. 2018, 13, 1750–1761. [Google Scholar] [CrossRef] [PubMed]
- Rosen, L.E.; Karrison, T.; Ananthanarayanan, V.; Gallan, A.J.; Adusumilli, P.S.; Alchami, F.S.; Attanoos, R.; Brcic, L.; Butnor, K.J.; Galateau-Sallé, F.; et al. Nuclear grade and necrosis predict prognosis in malignant epithelioid pleural mesothelioma: A multi-institutional study. Mod. Pathol. 2018, 31, 598–606. [Google Scholar] [CrossRef] [PubMed]
- Zhang, Y.Z.; Brambilla, C.; Molyneaux, P.L.; Rice, A.; Robertus, J.L.; Jordan, S.; Lim, E.; Lang-Lazdunski, L.; Begum, S.; Dusmet, M.; et al. Utility of Nuclear Grading System in Epithelioid Malignant Pleural Meso-thelioma in Biopsy-Heavy Setting: An External Validation Study of 563 Cases. Am. J. Surg. Pathol. 2020, 44, 347–356. [Google Scholar] [CrossRef]
- Butnor, K.J.; Sporn, T.A.; Hammar, S.P.; Roggli, V.L. Well-Differentiated Papillary Mesothelioma. Am. J. Surg. Pathol. 2001, 25, 1304–1309. [Google Scholar] [CrossRef]
- Churg, A.; Galateau-Salle, F.; Roden, A.C.; Attanoos, R.; von der Thusen, J.H.; Tsao, M.-S.; Chang, N.; De Perrot, M.; Dacic, S. Malignant mesothelioma in situ: Morphologic features and clinical outcome. Mod. Pathol. 2020, 33, 297–302. [Google Scholar] [CrossRef]
- Minami, K.; Jimbo, N.; Tanaka, Y.; Hokka, D.; Miyamoto, Y.; Itoh, T.; Maniwa, Y. Malignant mesothelioma in situ diagnosed by methylthioadenosine phosphorylase loss and homozygous deletion of CDKN2A: A case report. Virchows Arch. 2019, 476, 469–473. [Google Scholar] [CrossRef]
- Cigognetti, M.; Lonardi, S.; Fisogni, S.; Balzarini, P.; Pellegrini, V.; Tironi, A.; Bercich, L.; Bugatti, M.; Rossi, G.; Murer, B.; et al. BAP1 (BRCA1-associated protein 1) is a highly specific marker for differentiating mesothelioma from reactive mesothelial proliferations. Mod. Pathol. 2015, 28, 1043–1057. [Google Scholar] [CrossRef]
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Roca, E.; Aujayeb, A.; Astoul, P. Diagnosis of Pleural Mesothelioma: Is Everything Solved at the Present Time? Curr. Oncol. 2024, 31, 4968-4983. https://doi.org/10.3390/curroncol31090368
Roca E, Aujayeb A, Astoul P. Diagnosis of Pleural Mesothelioma: Is Everything Solved at the Present Time? Current Oncology. 2024; 31(9):4968-4983. https://doi.org/10.3390/curroncol31090368
Chicago/Turabian StyleRoca, Elisa, Avinash Aujayeb, and Philippe Astoul. 2024. "Diagnosis of Pleural Mesothelioma: Is Everything Solved at the Present Time?" Current Oncology 31, no. 9: 4968-4983. https://doi.org/10.3390/curroncol31090368
APA StyleRoca, E., Aujayeb, A., & Astoul, P. (2024). Diagnosis of Pleural Mesothelioma: Is Everything Solved at the Present Time? Current Oncology, 31(9), 4968-4983. https://doi.org/10.3390/curroncol31090368