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Mathian É, Drouet Y, Sexton-Oates A, Papotti MG, Pelosi G, Vignaud JM, Brcic L, Mansuet-Lupo A, Damiola F, Altun C, Berthet JP, Fournier CB, Brustugun OT, Centonze G, Chalabreysse L, de Montpréville VT, di Micco CM, Fadel E, Gadot N, Graziano P, Hofman P, Hofman V, Lacomme S, Lund-Iversen M, Mangiante L, Milione M, Muscarella LA, Perrin C, Planchard G, Popper H, Rousseau N, Roz L, Sabella G, Tabone-Eglinger S, Voegele C, Volante M, Walter T, Dingemans AM, Moonen L, Speel EJ, Derks J, Girard N, Chen L, Alcala N, Fernandez-Cuesta L, Lantuejoul S, Foll M. Assessment of the current and emerging criteria for the histopathological classification of lung neuroendocrine tumours in the lungNENomics project. ESMO Open 2024; 9:103591. [PMID: 38878324 PMCID: PMC11233924 DOI: 10.1016/j.esmoop.2024.103591] [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: 12/06/2023] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 06/26/2024] Open
Abstract
BACKGROUND Six thoracic pathologists reviewed 259 lung neuroendocrine tumours (LNETs) from the lungNENomics project, with 171 of them having associated survival data. This cohort presents a unique opportunity to assess the strengths and limitations of current World Health Organization (WHO) classification criteria and to evaluate the utility of emerging markers. PATIENTS AND METHODS Patients were diagnosed based on the 2021 WHO criteria, with atypical carcinoids (ACs) defined by the presence of focal necrosis and/or 2-10 mitoses per 2 mm2. We investigated two markers of tumour proliferation: the Ki-67 index and phospho-histone H3 (PHH3) protein expression, quantified by pathologists and automatically via deep learning. Additionally, an unsupervised deep learning algorithm was trained to uncover previously unnoticed morphological features with diagnostic value. RESULTS The accuracy in distinguishing typical from ACs is hampered by interobserver variability in mitotic counting and the limitations of morphological criteria in identifying aggressive cases. Our study reveals that different Ki-67 cut-offs can categorise LNETs similarly to current WHO criteria. Counting mitoses in PHH3+ areas does not improve diagnosis, while providing a similar prognostic value to the current criteria. With the advantage of being time efficient, automated assessment of these markers leads to similar conclusions. Lastly, state-of-the-art deep learning modelling does not uncover undisclosed morphological features with diagnostic value. CONCLUSIONS This study suggests that the mitotic criteria can be complemented by manual or automated assessment of Ki-67 or PHH3 protein expression, but these markers do not significantly improve the prognostic value of the current classification, as the AC group remains highly unspecific for aggressive cases. Therefore, we may have exhausted the potential of morphological features in classifying and prognosticating LNETs. Our study suggests that it might be time to shift the research focus towards investigating molecular markers that could contribute to a more clinically relevant morpho-molecular classification.
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Affiliation(s)
- É Mathian
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France; Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France
| | - Y Drouet
- UMR CNRS 5558 LBBE, Claude Bernard Lyon 1 University, Villeurbanne, France; Prevention & Public Health Department, Centre Léon Bérard, Lyon, France
| | - A Sexton-Oates
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - M G Papotti
- Department of Oncology, University of Turin, Turin, Italy
| | - G Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - J-M Vignaud
- Department of Biopathology, Institut De Cancérologie de Lorraine (CHRU-ICL), Vandoeuvre-lès-Nancy, France; University Hospital of Nancy (CHRU), Nancy, France
| | - L Brcic
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - A Mansuet-Lupo
- Department of Pathology, Hôpital Cochin, AP-HP, Université de Paris, Paris, France
| | - F Damiola
- Department of Biopathology, Centre Léon Bérard & Pathology Research Platform, Cancer Research Center of Lyon, Lyon, France
| | - C Altun
- Department of Biopathology, Centre Léon Bérard & Pathology Research Platform, Cancer Research Center of Lyon, Lyon, France
| | - J-P Berthet
- Department of Thoracic Surgery, FHU OncoAge, Nice Pasteur Hospital, University Cote d'Azur, Nice, France
| | - C B Fournier
- Caen Lower Normandy Tumour Bank, Centre François Baclesse, Caen, France
| | - O T Brustugun
- Section of Oncology, Drammen Hospital, Vestre Viken Hospital Trust, Drammen, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - G Centonze
- First Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - L Chalabreysse
- Hospices Civils de Lyon, GHE, Institut de Pathologie Est, Bron, France
| | - V T de Montpréville
- Department of Pathology, Hôpital Marie-Lannelongue, Groupe Hospitalier Paris Saint Joseph, Le Plessis Robinson, France
| | - C M di Micco
- Unit of Oncology, Fondazione IRCCS Cas Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - E Fadel
- Department of Pathology, Hôpital Marie-Lannelongue, Groupe Hospitalier Paris Saint Joseph, Le Plessis Robinson, France; Department of Thoracic and Vascular Surgery and Heart-Lung Transplantation, Université Paris-Saclay, Le Plessis-Robinson, France
| | - N Gadot
- Department of Biopathology, Centre Léon Bérard & Pathology Research Platform, Cancer Research Center of Lyon, Lyon, France
| | - P Graziano
- Unit of Oncology, Fondazione IRCCS Cas Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - P Hofman
- FHU OncoAge, Biobank BB-0033-0025, Laboratory of Clinical and Experimental Pathology, Nice Pasteur Hospital, University Cote d'Azur, Nice, France
| | - V Hofman
- FHU OncoAge, Biobank BB-0033-0025, Laboratory of Clinical and Experimental Pathology, Nice Pasteur Hospital, University Cote d'Azur, Nice, France
| | - S Lacomme
- University Hospital of Nancy (CHRU), Nancy, France
| | - M Lund-Iversen
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - L Mangiante
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France; School of Medicine, Stanford University, Stanford, USA
| | - M Milione
- First Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - L A Muscarella
- Unit of Oncology, Fondazione IRCCS Cas Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - C Perrin
- Hospices Civils de Lyon, GHE, Institut de Pathologie Est, Bron, France
| | - G Planchard
- Pathology Department, Caen University Hospital, Normandy University, Caen, France
| | - H Popper
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - N Rousseau
- Caen Lower Normandy Tumour Bank, Centre François Baclesse, Caen, France
| | - L Roz
- Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy
| | - G Sabella
- First Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | - C Voegele
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - M Volante
- Department of Oncology, University of Turin, Turin, Italy
| | - T Walter
- Service d'Oncologie Médicale, Groupement Hospitalier Centre, Institut de Cancérologie des Hospices Civils de Lyon, Lyon, France
| | - A-M Dingemans
- Department of Pulmonary Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | - L Moonen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, Netherlands
| | - E J Speel
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, Netherlands
| | - J Derks
- Department of Pulmonary Diseases, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - N Girard
- Institut Curie, Versailles, France
| | - L Chen
- Department of Mathematics and Informatics, Ecole Centrale de Lyon, Lyon, France; Institut Universitaire de France (IUF), Paris, France
| | - N Alcala
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - L Fernandez-Cuesta
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
| | - S Lantuejoul
- Department of Biopathology, Centre Léon Bérard & Pathology Research Platform, Cancer Research Center of Lyon, Lyon, France
| | - M Foll
- Rare Cancers Genomic Team, Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
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Naso JR, Jenkins SM, Roden AC, Yi ES, Lo YC, Bois MC, Maleszewski JJ, Aubry MC, Boland JM. Prognostic Immunohistochemistry for Ki-67 and OTP on Small Biopsies of Pulmonary Carcinoid Tumors: Ki-67 Index Predicts Progression-free Survival and Atypical Histology. Am J Surg Pathol 2024; 48:742-750. [PMID: 38584496 DOI: 10.1097/pas.0000000000002227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Prognostic stratification of pulmonary carcinoids into "typical" and "atypical" categories requires examination of large tissue volume. However, there is a need for tools that provide similar prognostic information on small biopsy samples. Ki-67 and OTP immunohistochemistry have shown promising prognostic value in studies of resected pulmonary carcinoids, but prognostic value when using biopsy/cytology specimens is unclear. Ki-67 immunohistochemistry was performed on small biopsy/cytology specimens from pulmonary carcinoid tumors (n=139), and labeling index was scored via automated image analysis of at least 500 cells. OTP immunohistochemistry was performed on 70 cases with sufficient tissue and scored as positive or negative (<20% tumor nuclei staining). Higher Ki-67 index was associated with worse disease-specific progression-free survival (ds-PFS), with 3% and 4% thresholds having similarly strong associations with ds-PFS ( P <0.001, hazard ratio ≥11). Three-year ds-PFS was 98% for patients with Ki-67 <3% and 89% for patients with Ki-67≥3% ( P =0.0006). The optimal Ki-67 threshold for prediction of typical versus atypical carcinoid histology on subsequent resection was 3.21 (AUC 0.68). Negative OTP staining approached significance with atypical carcinoid histology ( P =0.06) but not with ds-PFS ( P =0.24, hazard ratio=3.45), although sample size was limited. We propose that Ki-67 immunohistochemistry may contribute to risk stratification for carcinoid tumor patients based on small biopsy samples. Identification of a 3% hot-spot Ki-67 threshold as optimal for prediction of ds-PFS is notable as a 3% Ki-67 threshold is currently used for gastrointestinal neuroendocrine tumor stratification, allowing consideration of a unified classification system across organ systems.
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Affiliation(s)
- Julia R Naso
- Departments of Laboratory Medicine and Pathology
| | - Sarah M Jenkins
- Quantitative Health Sciences, Mayo Clinic Rochester, Rochester, MN
| | - Anja C Roden
- Departments of Laboratory Medicine and Pathology
| | - Euhee S Yi
- Departments of Laboratory Medicine and Pathology
| | - Ying-Chun Lo
- Departments of Laboratory Medicine and Pathology
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3
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Tchkonia D, Mskhaladze T, Nemsadze V, Khartishvili N, Jashi T. Bronchoscopic Laser Resection as a Monotherapy for Bronchial Carcinoid. Cureus 2024; 16:e54635. [PMID: 38523975 PMCID: PMC10959540 DOI: 10.7759/cureus.54635] [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] [Accepted: 02/21/2024] [Indexed: 03/26/2024] Open
Abstract
Lung carcinoid tumors are rare neuroendocrine cancers that primarily affect younger individuals and exhibit unique epidemiological characteristics unrelated to smoking or environmental factors. Symptoms may include coughing and wheezing. Bronchoscopic biopsy is the standard for diagnosis, with surgical resection as the gold standard treatment. Recent advances, such as laser resection, offer alternative options. We present a case of a 46-year-old female with bronchial carcinoid successfully treated using bronchoscopic diode laser therapy, highlighting its minimally invasive benefits. The success of this approach depends on tumor location, underscoring the importance of considering tumor characteristics in treatment decisions. Our report contributes to the evolving landscape of bronchogenic tumor management, emphasizing the need for continued research.
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Affiliation(s)
| | | | - Vera Nemsadze
- Medical School, David Tvildiani Medical University, Tbilisi, GEO
| | | | - Tornike Jashi
- Medical School, David Tvildiani Medical University, Tbilisi, GEO
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Fernezlian S, Baldavira C, de Souza M, Farhat C, de Vilhena A, Pereira J, de Campos J, Takagaki T, Balancin M, Ab'Saber A, Capelozzi V. A semi-automated microscopic image analysis method for scoring Ki-67 nuclear immunostaining. Braz J Med Biol Res 2023; 56:e12922. [PMID: 37970922 PMCID: PMC10644968 DOI: 10.1590/1414-431x2023e12922] [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: 07/12/2023] [Accepted: 09/11/2023] [Indexed: 11/19/2023] Open
Abstract
Nuclear proliferation marker MIB-1 (Ki-67) immunohistochemistry (IHC) is used to examine tumor cell proliferation. However, the diagnostic or prognostic value of the Ki-67 nuclear staining intensity and location, defined as nuclear gradient (NG), has not been assessed. This study examined the potential association between Ki-67 NG and cell cycle phases and its effect on the prognosis of pulmonary typical carcinoid (PTC) tumors. We propose a method for classifying the NG of Ki-67 during the cell cycle and compare the results between PTC, pulmonary adenocarcinoma (PAD), and breast ductal carcinoma (BDC). A literature review and objective analysis of IHC-stained paraffin sections were used to determine the Ki-67 labeling index and composed a stratification of the NG into NG1, NG2, and NG3/4 categories. A semi-automated image analysis protocol was established to determine the Ki-67 NG in PTC, PAD, and BDC. High intraobserver consistency and moderate interobserver agreement were achieved in the determination of Ki-67 NG in tumor specimens. NG1 and NG2 were lower in PTC than in PAD and BDC. Cox multivariate analysis of PTC after adjusting for age and number of metastatic lymph nodes showed that Ki-67 NG1 and NG2 significantly predicted clinical outcomes. The semi-automated method for quantification of Ki-67 nuclear immunostaining proposed in this study could become a valuable diagnostic and prognostic tool in PTC.
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Affiliation(s)
- S.M. Fernezlian
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - C.M. Baldavira
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - M.L.F. de Souza
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - C. Farhat
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - A.F. de Vilhena
- Departamento de Cirurgia Torácica, Instituto do Coração, São Paulo, SP, Brasil
| | - J.C.N. Pereira
- Department of General Thoracic Surgery, Georges Pompidou European Hospital, Paris, France
- International Perioperative Europrogram, Paris, France
| | - J.R.M. de Campos
- Departamento de Cirurgia Torácica, Instituto do Coração, São Paulo, SP, Brasil
- Departamento de Cirurgia Torácica, Hospital Israelita Albert Einstein, São Paulo, SP, Brasil
| | - T. Takagaki
- Divisão de Pneumologia, Instituto do Coração, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - M.L. Balancin
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - A.M. Ab'Saber
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
| | - V.L. Capelozzi
- Laboratório de Genômica e Histomorfometria, Departamento de Patologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brasil
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5
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La Rosa S. Diagnostic, Prognostic, and Predictive Role of Ki67 Proliferative Index in Neuroendocrine and Endocrine Neoplasms: Past, Present, and Future. Endocr Pathol 2023; 34:79-97. [PMID: 36797453 PMCID: PMC10011307 DOI: 10.1007/s12022-023-09755-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
The introduction of Ki67 immunohistochemistry in the work-up of neuroendocrine neoplasms (NENs) has opened a new approach for their diagnosis and prognostic evaluation. Since the first demonstration of the prognostic role of Ki67 proliferative index in pancreatic NENs in 1996, several studies have been performed to explore its prognostic, diagnostic, and predictive role in other neuroendocrine and endocrine neoplasms. A large amount of information is now available and published results globally indicate that Ki67 proliferative index is useful to this scope, although some differences exist in relation to tumor site and type. In gut and pancreatic NENs, the Ki67 proliferative index has a well-documented and accepted diagnostic and prognostic role and its evaluation is mandatory in their diagnostic work-up. In the lung, the Ki67 index is recommended for the diagnosis of NENs on biopsy specimens, but its diagnostic role in surgical specimens still remains to be officially accepted, although its prognostic role is now well documented. In other organs, such as the pituitary, parathyroid, thyroid (follicular cell-derived neoplasms), and adrenal medulla, the Ki67 index does not play a diagnostic role and its prognostic value still remains a controversial issue. In medullary thyroid carcinoma, the Ki67 labelling index is used to define the tumor grade together with other morphological parameters, while in the adrenal cortical carcinoma, it is useful to select patients to treated with mitotane therapy. In the present review, the most important information on the diagnostic, prognostic, and predictive role of Ki67 proliferative index is presented discussing the current knowledge. In addition, technical issues related to the evaluation of Ki67 proliferative index and the future perspectives of the application of Ki67 immunostaining in endocrine and neuroendocrine neoplasms is discussed.
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Affiliation(s)
- Stefano La Rosa
- Unit of Pathology, Department of Medicine and Surgery, University of Insubria, Via O. Rossi 9, Varese, 21100, Italy.
- Unit of Pathology, Department of Oncology, ASST Sette Laghi, Varese, Italy.
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6
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Centonze G, Maisonneuve P, Simbolo M, Lagano V, Grillo F, Prinzi N, Pusceddu S, Missiato L, Colantuono M, Sabella G, Bercich L, Mangogna A, Rolli L, Grisanti S, Benvenuti MR, Pastorino U, Roz L, Scarpa A, Berruti A, Capella C, Milione M. Ascl1 and OTP tumour expressions are associated with disease-free survival in lung atypical carcinoids. Histopathology 2023; 82:870-884. [PMID: 36720841 DOI: 10.1111/his.14873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/11/2023] [Accepted: 01/28/2023] [Indexed: 02/02/2023]
Abstract
According to World Health Organization guidelines, atypical carcinoids (ACs) are well-differentiated lung neuroendocrine tumours with 2-10 mitoses/2 mm2 and/or foci of necrosis (usually punctate). Besides morphological criteria, no further tools in predicting AC clinical outcomes are proposed. The aim of this work was to identify novel factors able to predict AC disease aggressiveness and progression. METHODS AND RESULTS: Three hundred-seventy lung carcinoids were collected and centrally reviewed by two expert pathologists. Morphology and immunohistochemical markers (Ki-67, TTF-1, CD44, OTP, SSTR2A, Ascl1, p53, and Rb1) were studied and correlated with disease-free survival (DFS) and overall survival (OS). Fifty-eight of 370 tumours were defined as AC. Survival analysis showed that patients with Ascl1 + ACs and those with OTP-ACs had a significantly worse DFS than patients with Ascl1-ACs and OTP + ACs, respectively. Combining Ascl1 and OTP expressions, groups were formed reflecting the aggressiveness of disease (P = 0.0005). Ki-67 ≥10% patients had a significantly worse DFS than patients with Ki-67 <10%. At multivariable analysis, Ascl1 (present versus absent, hazard ratio [HR] = 3.42, 95% confidence interval [CI] 1.35-8.65, P = 0.009) and OTP (present versus absent, HR = 0.26, 95% CI 0.10-0.68, P = 0.006) were independently associated with DFS. The prognosis of patients with Ki-67 ≥10% tended to be worse compared to that with Ki-67 <10%. On the contrary, OTP (present versus absent, HR = 0.28, 95% CI 0.09-0.89, P = 0.03), tumour stage (III-IV versus I-II, HR = 4.25, 95% CI 1.42-12.73, P = 0.01) and increasing age (10-year increase, HR = 1.67, 95% CI 1.04-2.68, P = 0.03) were independently associated with OS. CONCLUSION: This retrospective analysis of lung ACs showed that Ascl1 and OTP could be the main prognostic drivers of postoperative recurrence.
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Affiliation(s)
- Giovanni Centonze
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Michele Simbolo
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Vincenzo Lagano
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Federica Grillo
- Unit of Pathology, Department of Surgical Sciences and Integrated Diagnostics, University of Genoa and Ospedale Policlinico San Martino, Genoa, Italy
| | - Natalie Prinzi
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sara Pusceddu
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Loretta Missiato
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Marilena Colantuono
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanna Sabella
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luisa Bercich
- Department of Pathology, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Alessandro Mangogna
- Institute for Maternal and Child Health, IRCCS Burlo Garofalo, Trieste, Italy
| | - Luigi Rolli
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Salvatore Grisanti
- Medical Oncology Unit, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Mauro Roberto Benvenuti
- Thoracic Surgery Unit, Department of Medical and Surgical Specialties Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Ugo Pastorino
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Luca Roz
- Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Aldo Scarpa
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.,ARC-NET Research Center for Applied Research on Cancer, and Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Alfredo Berruti
- Medical Oncology Unit, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Carlo Capella
- Unit of Pathology, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Massimo Milione
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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Gheorghișan-Gălățeanu AA, Ilieșiu A, Lambrescu IM, Țăpoi DA. The Complex Histopathological and Immunohistochemical Spectrum of Neuroendocrine Tumors-An Overview of the Latest Classifications. Int J Mol Sci 2023; 24:1418. [PMID: 36674939 PMCID: PMC9863618 DOI: 10.3390/ijms24021418] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/05/2023] [Accepted: 01/08/2023] [Indexed: 01/12/2023] Open
Abstract
Neuroendocrine neoplasms (NENs) originate from the neuroendocrine cell system, which may either take the shape of organoid cell aggregations or be composed of dispersed cells across various organs. Therefore, these tumors are heterogenous regarding the site of origin, functional status, degree of aggressiveness, and prognosis. When treating patients with neuroendocrine tumors, one of the most significant challenges for physicians is determining the correct tumor grade and thus classifying patients into risk categories. Over the years, the classification of these tumors has changed significantly, often causing confusion due to clinical, molecular, and immunohistochemical variability. This review aims to outline the latest NENs classifications regardless of their site of origin. Thus, an overview of the key histopathological and immunohistochemical characteristics of NENs could pave the way to validate possible predictive and prognostic markers and also guide the therapeutic conduct.
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Affiliation(s)
- Ancuța-Augustina Gheorghișan-Gălățeanu
- Department of Cellular and Molecular Biology and Histology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- C.I. Parhon National Institute of Endocrinology, 011863 Bucharest, Romania
| | - Andreea Ilieșiu
- Department of Pathology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Pathology, University Emergency Hospital, 050098 Bucharest, Romania
| | - Ioana Maria Lambrescu
- Department of Cellular and Molecular Biology and Histology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Victor Babes National Institute of Pathology, 050096 Bucharest, Romania
| | - Dana Antonia Țăpoi
- Department of Pathology, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania
- Department of Pathology, University Emergency Hospital, 050098 Bucharest, Romania
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8
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Centonze G, Maisonneuve P, Simbolo M, Lagano V, Grillo F, Fabbri A, Prinzi N, Garzone G, Filugelli M, Pardo C, Mietta A, Pusceddu S, Sabella G, Bercich L, Mangogna A, Rolli L, Grisanti S, Benvenuti MR, Pastorino U, Roz L, Scarpa A, Berruti A, Capella C, Milione M. Lung carcinoid tumours: histology and Ki-67, the eternal rivalry. Histopathology 2023; 82:324-339. [PMID: 36239545 PMCID: PMC10092270 DOI: 10.1111/his.14819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 09/12/2022] [Accepted: 10/03/2022] [Indexed: 12/13/2022]
Abstract
WHO classification of Thoracic Tumours defines lung carcinoid tumours (LCTs) as well-differentiated neuroendocrine neoplasms (NENs) classified in low grade typical (TC) and intermediate grade atypical carcinoids (AC). Limited data exist concerning protein expression and morphologic factors able to predict disease aggressiveness. Though Ki-67 has proved to be a powerful diagnostic and prognostic factor for Gastro-entero-pancreatic NENs, its role in lung NENs is still debated. A retrospective series of 370 LCT from two oncology centers was centrally reviewed. Morphology and immunohistochemical markers (Ki-67, TTF-1, CD44, OTP, SSTR-2A, Ascl1, and p53) were studied and correlated with Overall Survival (OS), Cancer-specific survival (CSS) and Disease-free survival (DFS). Carcinoid histology was confirmed in 355 patients: 297 (83.7%) TC and 58 (16.3%) AC. Ki-67 at 3% was the best value in predicting DFS. Ki-67 ≥ 3% tumours were significantly associated with AC histology, stage III-IV, smoking, vascular invasion, tumour spread through air spaces OTP negativity, and TTF-1, Ascl1 and p53 positivity. After adjustment for center and period of diagnosis, both Ki-67 (≥3 versus <3) and histology (AC versus TC) alone significantly added prognostic information to OS and CSS multivariable model with age, stage and OTP; addition of both variables did not provide further prognostic information. Conversely, an improved significance of the DFS prediction model at multivariate analysis was seen by adding Ki-67 (≥3 versus <3, P adj = 0.01) to TC and AC histological distinction, age, lymph node involvement, residual tumour and OTP. Ki-67 ≥ 3% plays a potentially pivotal role in LCT prognosis, irrespective of histological grade.
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Affiliation(s)
- Giovanni Centonze
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.,Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Michele Simbolo
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Vincenzo Lagano
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Federica Grillo
- Unit of Pathology, Department of Surgical Sciences and Integrated Diagnostics, University of Genoa and Ospedale Policlinico San Martino, Genoa, Italy
| | - Alessandra Fabbri
- 2nd Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Natalie Prinzi
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanna Garzone
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Martina Filugelli
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Carlotta Pardo
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessia Mietta
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sara Pusceddu
- Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Giovanna Sabella
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Luisa Bercich
- Department of Pathology, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Alessandro Mangogna
- Institute for Maternal and Child Health, IRCCS Burlo Garofalo, Trieste, Italy
| | - Luigi Rolli
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Salvatore Grisanti
- Medical Oncology Unit, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Mauro Roberto Benvenuti
- Thoracic Surgery Unit, Department of Medical and Surgical Specialties Radiological Sciences and Public Health, Medical Oncology, University of Brescia, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Ugo Pastorino
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Luca Roz
- Tumor Genomics Unit, Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Aldo Scarpa
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.,ARC-NET Research Center for Applied Research on Cancer, and Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Alfredo Berruti
- Medical Oncology Unit, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, ASST Spedali Civili, Brescia, Italy
| | - Carlo Capella
- Unit of Pathology, Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Massimo Milione
- 1st Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
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9
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Sobash PT, Ullah A, Karim NA. Survival Benefit of Adjuvant Chemotherapy in Pulmonary Carcinoid Tumors. Cancers (Basel) 2022; 14:cancers14194730. [PMID: 36230651 PMCID: PMC9564155 DOI: 10.3390/cancers14194730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/19/2022] [Accepted: 09/26/2022] [Indexed: 11/16/2022] Open
Abstract
Pulmonary carcinoid tumors are a rare subtype of neuroendocrine cell tumor found in approximately 1–2% of lung cancers. Management is primarily through surgical resection, with limited benefit of adjuvant therapy in the clinical setting. Genomic profiling is in the nascent stages to molecularly classify these tumors, but there are promising insights for future targeted therapy. A total of 80 abstracts were analyzed for further review with 11 included in our final analysis. Only 4 of the 11 reviewed in depth provided statistical analysis. We evaluated PFS, OS, 1- and 5-year survival as mentioned in the studies. Nodal and KI67 status were also analyzed. Based on the current literature, there is no definitive evidence that adjuvant chemotherapy after resection confers a survival benefit in typical or atypical carcinoids.
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Affiliation(s)
- Philip T. Sobash
- Georgia Cancer Center, Augusta University, Augusta, GA 30912, USA
| | - Asad Ullah
- Department of Pathology, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Nagla Abdel Karim
- Inova Schar Cancer Institute, University of Virginia, Fairfax, VA 22031, USA
- Correspondence: or
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10
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Reuling EMBP, Naves DD, Kortman PC, Broeckaert MAM, Plaisier PW, Dickhoff C, Daniels JMA, Radonic T. A Multimodal Biomarker Predicts Dissemination of Bronchial Carcinoid. Cancers (Basel) 2022; 14:cancers14133234. [PMID: 35805004 PMCID: PMC9265109 DOI: 10.3390/cancers14133234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/22/2022] [Accepted: 06/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background: Curatively treated bronchial carcinoid tumors have a relatively low metastatic potential. Gradation into typical (TC) and atypical carcinoid (AC) is limited in terms of prognostic value, resulting in yearly follow-up of all patients. We examined the additional prognostic value of novel immunohistochemical (IHC) markers to current gradation of carcinoids. Methods: A retrospective single-institution cohort study was performed on 171 patients with pathologically diagnosed bronchial carcinoid (median follow-up: 66 months). The risk of developing distant metastases based on histopathological characteristics (Ki-67, p16, Rb, OTP, CD44, and tumor diameter) was evaluated using multivariate regression analysis and the Kaplan−Meier method. Results: Of 171 patients, seven (4%) had disseminated disease at presentation, and 164 (96%) received curative-intent treatment with either endobronchial treatment (EBT) (n = 61, 36%) or surgery (n = 103, 60%). Among the 164 patients, 13 developed metastases at follow-up of 81 months (IQR 45−162). Univariate analysis showed that Ki-67, mitotic index, OTP, CD44, and tumor diameter were associated with development of distant metastases. Multivariate analysis showed that mitotic count, Ki-67, and OTP were independent risk factors for development of distant metastases. Using a 5% cutoff for Ki-67, Kaplan−Meier analysis showed that the risk of distant metastasis development was significantly associated with the number of risk predictors (AC, Ki-67 ≥ 5%, and loss of OTP or CD44) (p < 0.0001). Six out of seven patients (86%) with all three positive risk factors developed distant metastasis. Conclusions: Mitotic count, proliferation index, and OTP IHC were independent predictors of dissemination at follow-up. In addition to the widely used carcinoid classification, a comprehensive analysis of histopathological variables including Ki-67, OTP, and CD44 could assist in the determination of distant metastasis risks of bronchial carcinoids.
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Affiliation(s)
- Ellen M. B. P. Reuling
- Department of Surgery, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands; (E.M.B.P.R.); (C.D.)
- Department of Surgery, Albert Schweitzer Hospital, 3318 AT Dordrecht, The Netherlands;
| | - Dwayne D. Naves
- Department of Pathology, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.D.N.); (P.C.K.); (M.A.M.B.)
| | - Pim C. Kortman
- Department of Pathology, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.D.N.); (P.C.K.); (M.A.M.B.)
| | - Mark A. M. Broeckaert
- Department of Pathology, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.D.N.); (P.C.K.); (M.A.M.B.)
| | - Peter W. Plaisier
- Department of Surgery, Albert Schweitzer Hospital, 3318 AT Dordrecht, The Netherlands;
| | - Chris Dickhoff
- Department of Surgery, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands; (E.M.B.P.R.); (C.D.)
- Department of Cardiothoracic Surgery, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Johannes M. A. Daniels
- Department of Pulmonary Diseases, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands;
| | - Teodora Radonic
- Department of Pathology, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands; (D.D.N.); (P.C.K.); (M.A.M.B.)
- Cancer Center Amsterdam, Amsterdam University Medical Center, VUMC, University Amsterdam, 1081 HV Amsterdam, The Netherlands
- Correspondence:
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11
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Clinicopathological, Oncogenic, and 18F-FDG PET/CT Features of Primary Pulmonary Carcinoid in Resection Specimens. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:1926797. [PMID: 35821888 PMCID: PMC9217550 DOI: 10.1155/2022/1926797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022]
Abstract
Objectives The metabolic parameters which included mean standardised uptake value (SUVmean), metabolic tumour volume (MTV), total lesion glycolysis (TLG), maximum standardised uptake lean body mass (SULmax), and maximum standardised uptake body surface area (SUVbsa) have rarely been investigated in pulmonary carcinoid (PC). This study aimed to retrospectively compare the 18F-FDG PET/CT features of PC subtypes and observe clinicopathological and oncogenic characteristics of PC. Methods We performed a retrospective review in 60 patients with PC, from January 2016 to November 2021, who underwent the 18F-FDG PET/CT scan. All the PC diagnoses were histopathologic confirmed by surgical samples. The metabolic and morphological features were obtained from 18F-FDG PET/CT images. The ratio of metabolic to morphological lesion volumes (MMVR) was calculated. Results Sixty patients with PC were consecutively identified, including 39 patients (65.0%) with typical carcinoids (TCs) and 21 (35.0%) with atypical carcinoids (ACs). One (1/21) patient had mutation in BRAF. The ACs have a larger size (P < 0.001), more metastatic lymph nodes (P = 0.011), higher Ki-67 expression (P < 0.001), higher SUVmax values (P = 0.003), higher SUVmean values (P = 0.006), higher SULmax values (P = 0.005), higher SUVbsa values (P = 0.001), higher MTV values (P = 0.033), and higher TLG values (P = 0.002). The multivariate analysis showed that MMVR (P = 0.020) was significantly associated with AC. For predicting AC, the optimal cut-off value of SUVmax, SUVmean, SULmax, SUVbsa, MTV, TLG, and the maximum diameter was 5.19, 3.18, 2.65, 1.47, 4.36, 18.44, and 3.0, respectively. The AUC values of above mentioned parameters was 0.756 (95%CI, 0.631–881; P = 0.001), 0.735 (95%CI, 0.602–868; P = 0.003), 0.736 (95%CI, 0.607–865; P = 0.003), 0.742 (95%CI, 0.612–873; P = 0.002), 0.593 (95%CI, 0.430–755; P = 0.239), 0.680 (95%CI, 0.531–829; P = 0.022), and 0.733 (95%CI, 0.598–868; P = 0.003), respectively. For predicting TC, the optimal cut-off value of the MMVR was 0.92, and the AUC value was 0.780 (95%CI, 0.647–0.913; P < 0.001). Conclusion 18F-FDG PET/CT can simultaneously reveal the metabolic and morphological characteristics of PC, which is important in the differentiation for histopathologic subtypes.
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12
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Sanguedolce F, Zanelli M, Palicelli A, Cavazza A, DE Marco L, Zizzo M, Ascani S, Landriscina M, Giordano G, Sollitto F, Loizzi D. The classification of neuroendocrine neoplasms of the lung and digestive system according to WHO, 5th Edition: similarities, differences, challenges & unmet needs. Panminerva Med 2022; 64:259-264. [PMID: 35146989 DOI: 10.23736/s0031-0808.22.04602-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Neuroendocrine neoplasms (NENs) are a group of disease entities sharing common morphological, ultrastructural and immunophenotypical features, yet with distinct biological behavior and clinical outcome, ranging from benign to frankly malignant. Accordingly, a spectrum of therapeutic options for each single entity is available, including somatostatin analogues (SSA), mTOR-inhibitors, peptide receptor radionuclide therapy (PRRT), non-platinum and platinum chemotherapy. In the last few decades, several attempts have been made in order to (1) better stratify these lesions refining the pathological classifications, so as to obtain an optimal correspondence between the scientific terminology and, the predictive and prognostic features of each disease subtype, and (2) achieve a global Classification encompassing NENs arising at different anatomical sites. Aim of this review is to analyze, compare and discuss the main features and issues of the latest WHO Classifications of NENs of the lung and the digestive system, in order to point out the strengths and limitations of our current understanding of these complex diseases.
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Affiliation(s)
| | - Magda Zanelli
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Andrea Palicelli
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Alberto Cavazza
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Loredana DE Marco
- Pathology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Maurizio Zizzo
- Surgical Oncology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Stefano Ascani
- Pathology Unit, Azienda Ospedaliera Santa Maria di Terni, University of Perugia, Terni, Italy
| | - Matteo Landriscina
- Unit of Medical Oncology and Biomolecular Therapy, Department of Medical and Surgical Sciences, Policlinico Riuniti, University of Foggia, Foggia, Italy.,Laboratory of Pre-Clinical and Translational Research, IRCCS, Referral Cancer Center of Basilicata (CROB), Rionero in Vulture, Potenza, Italy
| | - Guido Giordano
- Unit of Medical Oncology and Biomolecular Therapy, Department of Medical and Surgical Sciences, Policlinico Riuniti, University of Foggia, Foggia, Italy
| | | | - Domenico Loizzi
- Institute of Thoracic Surgery, University of Foggia, Foggia, Italy
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13
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Moonen L, Derks JL, Dingemans AMC, Speel EJM. Preoperative Biopsy Diagnosis in Patients With Pulmonary Carcinoids: A Biomarker Panel Will Be Crucial to Hit a Bull's Eye. J Thorac Oncol 2022; 17:e21-e23. [PMID: 35074233 DOI: 10.1016/j.jtho.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 10/19/2022]
Affiliation(s)
- Laura Moonen
- Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jules L Derks
- Department of Pulmonary Diseases, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Anne-Marie C Dingemans
- Department of Pulmonary Diseases, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Pulmonary Medicine, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ernst Jan M Speel
- Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
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14
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Rekhtman N. Lung neuroendocrine neoplasms: recent progress and persistent challenges. Mod Pathol 2022; 35:36-50. [PMID: 34663914 PMCID: PMC8695375 DOI: 10.1038/s41379-021-00943-2] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/28/2021] [Accepted: 09/28/2021] [Indexed: 02/07/2023]
Abstract
This review summarizes key recent developments relevant to the pathologic diagnosis of lung neuroendocrine neoplasms, including carcinoids, small cell lung carcinoma (SCLC), and large cell neuroendocrine carcinoma (LCNEC). Covered are recent insights into the biological subtypes within each main tumor type, progress in pathological diagnosis and immunohistochemical markers, and persistent challenging areas. Highlighted topics include highly proliferative carcinoids and their distinction from small cell and large cell neuroendocrine carcinomas (NECs), the evolving role of Ki67, the update on the differential diagnosis of NEC to include thoracic SMARCA4-deficient undifferentiated tumors, the recent data on SCLC transcriptional subtypes with the emergence of POU2F3 as a novel marker for the diagnosis of SCLC with low/negative expression of standard neuroendocrine markers, and the update on the diagnosis of LCNEC, particularly in biopsies. There has been remarkable recent progress in the understanding of the genetic and expression-based profiles within each type of lung neuroendocrine neoplasm, and it is hoped that these insights will enable the development of novel diagnostic, prognostic, and predictive biomarkers to aid in the pathologic assessment of these tumors in the future.
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Affiliation(s)
- Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
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15
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CT Texture Analysis of Pulmonary Neuroendocrine Tumors-Associations with Tumor Grading and Proliferation. J Clin Med 2021; 10:jcm10235571. [PMID: 34884272 PMCID: PMC8658090 DOI: 10.3390/jcm10235571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 11/16/2022] Open
Abstract
Texture analysis derived from computed tomography (CT) might be able to provide clinically relevant imaging biomarkers and might be associated with histopathological features in tumors. The present study sought to elucidate the possible associations between texture features derived from CT images with proliferation index Ki-67 and grading in pulmonary neuroendocrine tumors. Overall, 38 patients (n = 22 females, 58%) with a mean age of 60.8 ± 15.2 years were included into this retrospective study. The texture analysis was performed using the free available Mazda software. All tumors were histopathologically confirmed. In discrimination analysis, "S(1,1)SumEntrp" was significantly different between typical and atypical carcinoids (mean 1.74 ± 0.11 versus 1.79 ± 0.14, p = 0.007). The correlation analysis revealed a moderate positive association between Ki-67 index with the first order parameter kurtosis (r = 0.66, p = 0.001). Several other texture features were associated with the Ki-67 index, the highest correlation coefficient showed "S(4,4)InvDfMom" (r = 0.59, p = 0.004). Several texture features derived from CT were associated with the proliferation index Ki-67 and might therefore be a valuable novel biomarker in pulmonary neuroendocrine tumors. "Sumentrp" might be a promising parameter to aid in the discrimination between typical and atypical carcinoids.
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16
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The 2021 WHO Classification of Lung Tumors: Impact of advances since 2015. J Thorac Oncol 2021; 17:362-387. [PMID: 34808341 DOI: 10.1016/j.jtho.2021.11.003] [Citation(s) in RCA: 434] [Impact Index Per Article: 144.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/26/2021] [Accepted: 11/01/2021] [Indexed: 11/22/2022]
Abstract
The 2021 World Health Organisation (WHO) Classification of Thoracic Tumours was published earlier this year, with classification of lung tumors being one of the chapters. The principles remain those of using morphology first, supported by immunohistochemistry and then molecular techniques. In 2015, there was particular emphasis on using immunohistochemistry to make classification more accurate. In 2021, there is greater emphasis throughout the book on advances in molecular pathology across all tumor types. Major features within this edition are 1) broader emphasis on genetic testing than in the 2015 WHO Classification, 2) a chapter entirely dedicated to the classification of small diagnostic samples, 3) continued recommendation to document percentages of histological patterns in invasive non-mucinous adenocarcinomas, with utilization of these features to apply a formal grading system, as well as using only invasive size for T-factor size determination in part lepidic non-mucinous lung adenocarcinomas as recommended by the 8th Edition TNM Classification, 4) recognition of spread through airspaces (STAS) as a histological feature with prognostic significance, 5) moving lymphoepithelial carcinoma to squamous cell carcinomas, 6) update on evolving concepts in lung neuroendocrine neoplasm classification, 7) recognition of bronchiolar adenoma/ciliated muconodular papillary tumor (BA/CMPT) as a new entity within the adenoma subgroup, 8) recognition of thoracic SMARCA4-deficient undifferentiated tumor, and 9) inclusion of essential and desirable diagnostic criteria for each tumor.
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17
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Huang Z, Lyu M, Ai Z, Chen Y, Liang Y, Xiang Z. Pre-operative Prediction of Ki-67 Expression in Various Histological Subtypes of Lung Adenocarcinoma Based on CT Radiomic Features. Front Surg 2021; 8:736737. [PMID: 34733879 PMCID: PMC8558627 DOI: 10.3389/fsurg.2021.736737] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 09/09/2021] [Indexed: 12/26/2022] Open
Abstract
Purpose: The aims of this study were to combine CT images with Ki-67 expression to distinguish various subtypes of lung adenocarcinoma and to pre-operatively predict the Ki-67 expression level based on CT radiomic features. Methods: Data from 215 patients with 237 pathologically proven lung adenocarcinoma lesions who underwent CT and immunohistochemical Ki-67 from January 2019 to April 2021 were retrospectively analyzed. The receiver operating curve (ROC) identified the Ki-67 cut-off value for differentiating subtypes of lung adenocarcinoma. A chi-square test or t-test analyzed the differences in the CT images between the negative expression group (n = 132) and the positive expression group (n = 105), and then the risk factors affecting the expression level of Ki-67 were evaluated. Patients were randomly divided into a training dataset (n = 165) and a validation dataset (n = 72) in a ratio of 7:3. A total of 1,316 quantitative radiomic features were extracted from the Analysis Kinetics (A.K.) software. Radiomic feature selection and radiomic classifier were generated through a least absolute shrinkage and selection operator (LASSO) regression and logistic regression analysis model. The predictive capacity of the radiomic classifiers for the Ki-67 levels was investigated through the ROC curves in the training and testing groups. Results: The cut-off value of the Ki-67 to distinguish subtypes of lung adenocarcinoma was 5%. A comparison of clinical data and imaging features between the two groups showed that histopathological subtypes and air bronchograms could be used as risk factors to evaluate the expression of Ki-67 in lung adenocarcinoma (p = 0.005, p = 0.045, respectively). Through radiomic feature selection, eight top-class features constructed the radiomic model to pre-operatively predict the expression of Ki-67, and the area under the ROC curves of the training group and the testing group were 0.871 and 0.8, respectively. Conclusion: Ki-67 expression level with a cut-off value of 5% could be used to differentiate non-invasive lung adenocarcinomas from invasive lung adenocarcinomas. It is feasible and reliable to pre-operatively predict the expression level of Ki-67 in lung adenocarcinomas based on CT radiomic features, as a non-invasive biomarker to predict the degree of malignant invasion of lung adenocarcinoma, and to evaluate the prognosis of the tumor.
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Affiliation(s)
- Zhiwei Huang
- Graduate School, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Mo Lyu
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.,School of Life Sciences, South China Normal University, Guangzhou, China
| | - Zhu Ai
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Yirong Chen
- Graduate School, Guangzhou University of Chinese Medicine, Guangzhou, China.,Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Yuying Liang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Zhiming Xiang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
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18
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Zhou Y, Liu S, Liu C, Yang J, Lin Q, Zheng S, Chen C, Zhou Q, Chen R. Single-cell RNA sequencing reveals spatiotemporal heterogeneity and malignant progression in pancreatic neuroendocrine tumor. Int J Biol Sci 2021; 17:3760-3775. [PMID: 34671197 PMCID: PMC8495381 DOI: 10.7150/ijbs.61717] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/22/2021] [Indexed: 01/16/2023] Open
Abstract
Aims: Using Single-cell RNA sequencing (scRNA-seq), we explored the spatiotemporal heterogeneity of pancreatic neuroendocrine tumors (pNETs) and the underlying mechanism for malignant progression. Methods: scRNA-seq was conducted on three tumor tissues (two primary tissues from different sites, one liver metastatic lesion), one normal liver tissue, and peripheral blood mononuclear cells from one patient with a metastatic G2 pNET, followed by bioinformatics analysis and validation in a pNETs cohort. Results: The transcriptome data of 24.544 cells were obtained. We identified subpopulations of functional heterogeneity within malignant cells, immune cells, and fibroblasts. There were intra- and inter-heterogeneities of cell subpopulations for malignant cells, macrophages, T cells, and fibroblasts among all tumor sites. Cell trajectory analysis revealed several hallmarks of carcinogenesis, including the hypoxia pathway, metabolism reprogramming, and aggressive proliferation, which were activated at different stages of tumor progression. Evolutionary analysis based on mitochondrial mutations defined two dominant clones with metastatic capacity. Finally, we developed a gene signature (PCSK1 and SMOC1) defining the metastatic potential of the tumor and its prognostic value was validated in a cohort of thirty G1/G2 patients underwent surgical resection. Conclusions: Our scRNA-seq analysis revealed intra- and intertumor heterogeneities in cell populations, transcriptional states, and intercellular communications among primary and metastatic lesions of pNETs. The single-cell level characterization of the spatiotemporal dynamics of malignant cell progression provided new insights into the search for potential novel prognostic biomarkers of pNETs.
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Affiliation(s)
- Yu Zhou
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Siyang Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Chao Liu
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jiabin Yang
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.,School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Qing Lin
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Shangyou Zheng
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Changhao Chen
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, State Key Laboratory of Oncology in South China, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China.,Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China
| | - Quanbo Zhou
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, State Key Laboratory of Oncology in South China, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, China.,Department of Pancreatobiliary Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Rufu Chen
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
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19
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Pelosi G, Travis WD. The Ki-67 antigen in the new 2021 World Health Organization classification of lung neuroendocrine neoplasms. Pathologica 2021; 113:377-387. [PMID: 34837096 PMCID: PMC8720414 DOI: 10.32074/1591-951x-542] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 10/24/2021] [Indexed: 01/14/2023] Open
Abstract
Prof. Rosai's work has permeated the surgical pathology in many fields, including the 2017 World Health Organization classification on tumors of endocrine organs and pulmonary neuroendocrine cell pathology, with stimulating contributions which have also anticipated the subsequent evolution of knowledge. Among the many studies authored by Prof. Rosai, we would like to recall one of which whose topic has been encased in the new 2021 World Health Organization classification on lung tumors. This is an eminently practical paper dealing with the use of the proliferation antigen Ki-67 in lung neuroendocrine neoplasms. While these neoplasms are primarily ranked upon histologic features and Ki-67 labeling index does not play any role in classification, diagnostic dilemmas may however arise in severely crushed biopsy or cytology samples where this marker proves helpful to avoid misdiagnoses of carcinoids as small cell carcinoma. Another application of Ki-67 labeling index endorsed by the 2021 World Health Organization classification regards, alongside mitotic count, the emerging recognition of lung atypical carcinoids with increased mitotic or proliferation rates, whose biological boundaries straddle a subset of large cell neuroendocrine carcinoma. This article focuses on these two practical applications of the proliferation marker Ki-67 in keeping with the 2021 World Health Organization classification, which provides standards for taxonomy, diagnosis and clinical decision making in lung neuroendocrine neoplasm patients.
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Affiliation(s)
- Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - William D. Travis
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, USA
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20
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Derks JL, Rijnsburger N, Hermans BCM, Moonen L, Hillen LM, von der Thüsen JH, den Bakker MA, van Suylen RJ, Speel EJM, Dingemans AMC. Clinical-Pathologic Challenges in the Classification of Pulmonary Neuroendocrine Neoplasms and Targets on the Horizon for Future Clinical Practice. J Thorac Oncol 2021; 16:1632-1646. [PMID: 34139363 DOI: 10.1016/j.jtho.2021.05.020] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/25/2021] [Accepted: 05/28/2021] [Indexed: 12/16/2022]
Abstract
Diagnosing a pulmonary neuroendocrine neoplasm (NEN) may be difficult, challenging clinical decision making. In this review, the following key clinical and pathologic issues and informative molecular markers are being discussed: (1) What is the preferred outcome parameter for curatively resected low-grade NENs (carcinoid), for example, overall survival or recurrence-free interval? (2) Does the WHO classification combined with a Ki-67 proliferation index and molecular markers, such as OTP and CD44, offer improved prognostication in low-grade NENs? (3) What is the value of a typical versus atypical carcinoid diagnosis on a biopsy specimen in local and metastatic disease? Diagnosis is difficult in biopsy specimens and recent observations of an increased mitotic rate in metastatic carcinoid from typical to atypical and high-grade NEN can further complicate diagnosis. (4) What is the (ir)relevance of morphologically separating large cell neuroendocrine carcinoma (LCNEC) SCLC and the value of molecular markers (RB1 gene and pRb protein or transcription factors NEUROD1, ASCL1, POU2F3, or YAP1 [NAPY]) to predict systemic treatment outcome? (5) Are additional diagnostic criteria required to accurately separate LCNEC from NSCLC in biopsy specimens? Neuroendocrine morphology can be absent owing to limited sample size leading to missed LCNEC diagnoses. Evaluation of genomic studies on LCNEC and marker studies have identified that a combination of napsin A and neuroendocrine markers could be helpful. Hence, to improve clinical practice, we should consider to adjust our NEN classification incorporating prognostic and predictive markers applicable on biopsy specimens to inform a treatment outcome-driven classification.
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Affiliation(s)
- Jules L Derks
- Department of Pulmonary Diseases, GROW School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Nicole Rijnsburger
- Department of Respiratory Medicine, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Bregtje C M Hermans
- Department of Pulmonary Diseases, GROW School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Laura Moonen
- Department of Pathology, GROW School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Lisa M Hillen
- Department of Pathology, GROW School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jan H von der Thüsen
- Department of Pathology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Robert J van Suylen
- Pathology-DNA, Location Jeroen Bosch Hospital, s' Hertogenbosch, The Netherlands
| | - Ernst-Jan M Speel
- Department of Pathology, GROW School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Anne-Marie C Dingemans
- Department of Pulmonary Diseases, GROW School for Oncology & Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Respiratory Medicine, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
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21
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La Rosa S. Challenges in High-grade Neuroendocrine Neoplasms and Mixed Neuroendocrine/Non-neuroendocrine Neoplasms. Endocr Pathol 2021; 32:245-257. [PMID: 33786701 PMCID: PMC8116295 DOI: 10.1007/s12022-021-09676-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 12/13/2022]
Abstract
The growth in knowledge of the pathogenesis, molecular background, and immunohistochemical profile of neuroendocrine neoplasms (NENs) has led not only to an increased awareness of these diseases but also to several changes of the nomenclature. In particular, the concept and terminology of high-grade (grade 3) NENs and mixed neoplasms have changed considerably over the last 20 years, creating some confusion among pathologists and clinicians. The aim of this review is to elucidate the diagnostic criteria, including the most important differential diagnoses of high-grade NENs and mixed neuroendocrine/non-neuroendocrine neoplasms (MiNENs). The role of the Ki67 labelling index and morphology, used to define grade 3 NENs of the digestive system and lungs, is also discussed. The evolution of the concepts and terminology of MiNENs is revised, including the most important differential diagnoses.
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Affiliation(s)
- Stefano La Rosa
- Institute of Pathology, University Hospital and University of Lausanne, Lausanne, Switzerland.
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22
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Prieto M, Chassagnon G, Lupo A, Charpentier MC, Cabanne E, Groussin L, Wislez M, Alifano M, Fournel L. Lung carcinoid tumors with Diffuse Idiopathic Pulmonary NeuroEndocrine Cell Hyperplasia (DIPNECH) exhibit pejorative pathological features. Lung Cancer 2021; 156:117-121. [PMID: 33940544 DOI: 10.1016/j.lungcan.2021.04.024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/02/2021] [Accepted: 04/25/2021] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Diffuse Idiopathic Pulmonary NeuroEndocrine Cell Hyperplasia (DIPNECH) is a rare disease often associated with carcinoid tumors. We aimed at evaluating the impact of DIPNECH on characteristics and prognosis of patients who underwent radical treatment of pulmonary carcinoid tumors. MATERIAL AND METHODS We reviewed all patients operated on for curative-intent resection of carcinoid tumor in our department from 2001 to 2020. Cases exhibiting both pathological and radiological features of DIPNECH, as assessed by respective thoracic expert physicians, were analyzed separately. RESULTS 172 cases of resected carcinoid tumors were identified, including 25 (14.5 %) harboring pathological criteria of DIPNECH and radiologic features like mosaic attenuation (92.0 %), multiple nodules < 5 mm (76.0 %), and mucoid impactions (32 %). In DIPNECH patients, major pulmonary resections were usually performed (92.0 %) and resected tumors were mostly classified as pT1 (92 %). Mean Ki67 staining was 3.7 ± 5.2 %. The early postoperative period was mostly uneventful (96.0 %) and 5-year survival was 92.9 ± 6.9 %. Compared to non-DIPNECH cases, we found that patients were older (mean 65.6 ± 9.3 versus 54.1 ± 17.9, p = 0.002), more frequently female (84.0 % versus 56.5 %, p = 0.009), and exhibiting diabetes mellitus (45.8 % versus 18.5 %, p < 0.001) or hypertension (45.8 % versus 24.1 %, p = 0.039). The rate of atypical carcinoid tumors was significantly higher in DIPNECH patients (40.0 % versus 19.9 %, p = 0.027), as well as rate of mediastinal lymph-nodes involvement (pN2+) (36.0 % versus 4.1 %, p < 0.001). At multivariate analysis, only DIPNECH pattern and atypical histology were independent factors of pN2 invasion which was the only predictor of poorer prognosis on Log-Rank test. CONCLUSION Carcinoid tumors with proven DIPNECH are associated with negative pathological features and may deserve a dedicated perioperative management.
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Affiliation(s)
- Mathilde Prieto
- Department of Thoracic Surgery, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | - Guillaume Chassagnon
- Department of Chest Radiology, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | - Audrey Lupo
- Department of Pathology, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | | | - Eglantine Cabanne
- Department of Chest Radiology, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | - Lionel Groussin
- Department of Endocrinology, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | - Marie Wislez
- Department of Respiratory Medicine and Thoracic Oncology, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | - Marco Alifano
- Department of Thoracic Surgery, Hôpital Cochin, APHP.CUP, Université de Paris, France
| | - Ludovic Fournel
- Department of Thoracic Surgery, Hôpital Cochin, APHP.CUP, Université de Paris, France.
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23
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Volante M, Mete O, Pelosi G, Roden AC, Speel EJM, Uccella S. Molecular Pathology of Well-Differentiated Pulmonary and Thymic Neuroendocrine Tumors: What Do Pathologists Need to Know? Endocr Pathol 2021; 32:154-168. [PMID: 33641055 PMCID: PMC7960615 DOI: 10.1007/s12022-021-09668-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/21/2021] [Indexed: 02/08/2023]
Abstract
Thoracic (pulmonary and thymic) neuroendocrine tumors are well-differentiated epithelial neuroendocrine neoplasms that are classified into typical and atypical carcinoid tumors based on mitotic index cut offs and presence or absence of necrosis. This classification scheme is of great prognostic value but designed for surgical specimens, only. Deep molecular characterization of thoracic neuroendocrine tumors highlighted their difference with neuroendocrine carcinomas. Neuroendocrine tumors of the lung are characterized by a low mutational burden, and a high prevalence of mutations in chromatin remodeling and histone modification-related genes, whereas mutations in genes frequently altered in neuroendocrine carcinomas are rare. Molecular profiling divided thymic neuroendocrine tumors into three clusters with distinct clinical outcomes and characterized by a different average of copy number instability. Moreover, integrated histopathological, molecular and clinical evidence supports the existence of a grey zone category between neuroendocrine tumors (carcinoid tumors) and neuroendocrine carcinomas. Indeed, cases with well differentiated morphology but mitotic/Ki-67 indexes close to neuroendocrine carcinomas have been increasingly recognized. These are characterized by specific molecular profiles and have an aggressive clinical behavior. Finally, thoracic neuroendocrine tumors may arise in the background of genetic susceptibility, being MEN1 syndrome the well-defined familial form. However, pathologists should be aware of rarer germline variants that are associated with the concurrence of neuroendocrine tumors of the lung or their precursors (such as DIPNECH) with other neoplasms, including but not limited to breast carcinomas. Therefore, genetic counseling for all young patients with thoracic neuroendocrine neoplasia and/or any patient with pathological evidence of neuroendocrine cell hyperplasia-to-neoplasia progression sequence or multifocal disease should be considered.
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Affiliation(s)
- Marco Volante
- Department of Oncology, University of Turin, Turin, Italy.
| | - Ozgur Mete
- Departments of Pathology, University Healthy Network and University of Toronto, Toronto, Canada
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Anja C Roden
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN, USA
| | - Ernst Jan M Speel
- Department of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Silvia Uccella
- Dept. of Medicine and Surgery, University of Insubria, Varese, Italy
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24
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Manem VS, Sazonova O, Gagné A, Orain M, Khoshkrood-Mansoori B, Gaudreault N, Bossé Y, Joubert P. Unravelling actionable biology using transcriptomic data to integrate mitotic index and Ki-67 in the management of lung neuroendocrine tumors. Oncotarget 2021; 12:209-220. [PMID: 33613848 PMCID: PMC7869577 DOI: 10.18632/oncotarget.27874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 01/19/2021] [Indexed: 11/25/2022] Open
Abstract
Pulmonary neuroendocrine tumors (NETs) are a heterogeneous family of malignancies whose classification relies on morphology and mitotic rate, unlike extrapulmonary neuroendocrine tumors that require both mitotic rate and Ki-67. As mitotic count is proportional to Ki-67, it is crucial to understand if Ki-67 can complement the existing diagnostic guidelines, as well as discover the benefit of these two markers to unravel the biological heterogeneity. In this study, we investigated the association of mitotic rate and Ki-67 at gene- and pathway-level using transcriptomic data in lung NET malignancies. Lung resection tumor specimens obtained from 28 patients diagnosed with NETs were selected. Mitotic rate, Ki-67 and transcriptomic data were obtained for all samples. The concordance between mitotic rate and Ki-67 was evaluated at gene-level and pathway-level using gene expression data. Our analysis revealed a strong association between mitotic rate and Ki-67 across all samples and cell cycle genes were found to be differentially ranked between them. Pathway analysis indicated that a greater number of pathways overlapped between these markers. Analyses based on lung NET subtypes revealed that mitotic rate in carcinoids and Ki-67 in large cell neuroendocrine carcinomas provided comprehensive characterization of pathways among these malignancies. Among the two subtypes, we found distinct leading-edge gene sets that drive the enrichment signal of commonly enriched pathways between mitotic index and Ki-67. Overall, our findings delineated the degree of benefit of the two proliferation markers, and offers new layer to predict the biological behavior and identify high-risk patients using a more comprehensive diagnostic workup.
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Affiliation(s)
- Venkata S.K. Manem
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Olga Sazonova
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Andréanne Gagné
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Michèle Orain
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | | | - Nathalie Gaudreault
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Yohan Bossé
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
- Department of Molecular Medicine, Laval University, Quebec City, QC G1V4G5, Canada
| | - Philippe Joubert
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
- Department of Medical Biochemistry, Molecular Biology and Pathology, Laval University, Quebec City, QC G1V4G5, Canada
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25
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Narayanan D, Mandal R, Hardin H, Chanana V, Schwalbe M, Rosenbaum J, Buehler D, Lloyd RV. Long Non-coding RNAs in Pulmonary Neuroendocrine Neoplasms. Endocr Pathol 2020; 31:254-263. [PMID: 32388776 DOI: 10.1007/s12022-020-09626-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Pulmonary neuroendocrine neoplasms (NENs) are classified into low-grade neuroendocrine tumors and high-grade neuroendocrine carcinomas (NECs). There are significant differences in therapeutic strategies of the different NEN subtypes, and therefore, precise classification of pulmonary NENs is critical. However, challenges in pulmonary NEN classification include overlap of diagnostic histological features among the subtypes and reduced or negative expression of neuroendocrine markers in poorly differentiated pulmonary NECs. Recently, transcription factor insulinoma-associated protein 1 (INSM1) was identified as a sensitive marker of neuroendocrine and neuroepithelial differentiation. In this study, INSM1 expression was detected by immunohistochemistry in greater than 94% of pulmonary NENs, indicating that it is a highly sensitive marker of pulmonary NENs and is useful to detect poorly differentiated pulmonary NECs. Although there are well-established morphological and immunohistologic criteria to diagnose pulmonary NENs, there is no universal consensus regarding prognostic markers of pulmonary NENs. Studies have shown that non-small cell lung cancers express long non-coding RNAs (lncRNAs), which regulate gene expression, epithelial-to-mesenchymal transition, and carcinogenesis. We characterized expression and function of lncRNAs, including HOX transcript antisense RNA (HOTAIR), maternally expressed 3 (MEG3), and prostate cancer antigen 3 (PCA3) in pulmonary NENs, including typical carcinoid tumors, atypical carcinoid tumors, small cell lung carcinoma (SCLC/NEC), and large cell neuroendocrine carcinoma (LCNEC/NEC). In situ hybridization and real-time polymerase chain reaction studies showed higher expression (p < 0.01) of all lncRNAs in SCLC/NEC. Small interfering RNA studies indicated a role for MEG3 and PCA3 in tumor proliferation. Therefore, these lncRNAs may serve as prognostic indicators of pulmonary NEN aggressiveness and as possible therapeutic targets.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Biomarkers, Tumor/analysis
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Carcinoma, Neuroendocrine/diagnosis
- Carcinoma, Neuroendocrine/genetics
- Carcinoma, Neuroendocrine/mortality
- Carcinoma, Neuroendocrine/pathology
- Cohort Studies
- Female
- Humans
- Immunohistochemistry
- In Situ Hybridization
- Lung Neoplasms/diagnosis
- Lung Neoplasms/genetics
- Lung Neoplasms/mortality
- Lung Neoplasms/pathology
- Male
- Middle Aged
- Neoplasm Grading
- Neuroendocrine Tumors/diagnosis
- Neuroendocrine Tumors/genetics
- Neuroendocrine Tumors/mortality
- Neuroendocrine Tumors/pathology
- Prognosis
- RNA, Long Noncoding/physiology
- Tissue Array Analysis
- Tumor Cells, Cultured
- Young Adult
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Affiliation(s)
- Damodaran Narayanan
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Rakesh Mandal
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Heather Hardin
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Vishal Chanana
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Michael Schwalbe
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Jason Rosenbaum
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Darya Buehler
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA
| | - Ricardo V Lloyd
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792-8550, USA.
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26
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Whole-exome and RNA sequencing of pulmonary carcinoid reveals chromosomal rearrangements associated with recurrence. Lung Cancer 2020; 145:85-94. [PMID: 32417679 DOI: 10.1016/j.lungcan.2020.03.027] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 03/24/2020] [Accepted: 03/27/2020] [Indexed: 12/31/2022]
Abstract
INTRODUCTION The majority of pulmonary carcinoid (PC) tumors can be cured by surgical resection alone, but a significant proportion of patients experience recurrence. As PC is insensitive to conventional chemotherapy, further clarification of the molecular mechanisms of metastasis is needed in order to develop targeted therapeutics. METHODS We performed comprehensive whole-exome sequencing (WES) of primary tumors and corresponding normal lung tissues from 14 PC patients (including 4 patients who developed postsurgical distant metastasis) and RNA sequencing of primary tumors from 6 PC patients (including 4 patients who developed postsurgical distant metastasis). Exon array-based gene expression analysis was performed in 25 cases of PC. RESULTS We identified a total of 139 alterations in 136 genes. MUC6 and SPTA1 were recurrently mutated at a frequency of 21% (3/14) and 14% (2/14), respectively. Mucin protein family genes including MUC2, MUC4 and MUC6 were mutated in a mutually exclusive manner in 36% (5/14). Pathway analysis of the mutated genes revealed enrichment of genes involved in mitogen-activated protein kinase (MAPK) signaling, regulation of the actin cytoskeleton and focal adhesion, and transforming growth factor (TGF)-β signaling. RNA sequencing revealed a total of 8 novel fusion transcripts including one derived from a chromosomal translocation between the TRIB2 and PRKCE genes. All of the 8 fusion genes were detected in primary PCs that had developed metastasis after surgical resection. We identified 14 genes (DENND1B, GRID1, CLMN, DENND1B, NRP1, SEL1L3, C5orf13, TNFRSF21, TES, STK39, MTHFD2, OPN3, MET, and HIST1H3C) up-regulated in 5 PCs that had relapsed after surgical resection. CONCLUSIONS In this study we identified novel somatic mutations and chromosomal rearrangements in PC by examining clinically aggressive cases that had developed postsurgical metastasis. It will be essential to validate the clinical significance of these genetic changes in a larger independent patient cohort.
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27
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Moran CA, Lindholm KE, Brunnström H, Langman G, Jang SJ, Spagnolo D, Chai SM, Laycock A, Falconieri G, Pizzolitto S, de Pellegrin A, Medeiros F, Edmunds L, Catarino A, Cunha F, Ro J, Pina-Oviedo S, Torrealba J, Coppola D, Petersson F, Oon ML, Elmberger G, Y Cajal SR, Valero IS, Dalurzo L, Soares F, Campos AH, Vranic S, Skenderi F, Correa AM, Sepesi B, Rice D, Mehran R, Walsh G. Typical and atypical carcinoid tumors of the lung: a clinicopathological correlation of 783 cases with emphasis on histological features. Hum Pathol 2020; 98:98-109. [PMID: 32145220 DOI: 10.1016/j.humpath.2020.02.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/17/2020] [Accepted: 02/23/2020] [Indexed: 11/17/2022]
Abstract
We present 783 surgical resections of typical and atypical carcinoid tumors of the lung identified in the pathology files of 20 different pathology departments. All cases were critically reviewed for clinical and pathological features and further correlated with clinical outcomes. Long-term follow-up was obtained in all the patients and statistically analyzed to determine significance of the different parameters evaluated. Of the histopathological features analyzed, the presence of mitotic activity of 4 mitoses or more per 2 mm2, necrosis, lymphatic invasion, and lymph node metastasis were identified as statistically significant. Tumors measuring 3 cm or more were also identified as statistically significant and correlated with clinical outcomes. Based on our analysis, we consider that the separation of low- and intermediate-grade neuroendocrine neoplasms of the lung needs to be readjusted in terms of mitotic count as the risk of overgrading these neoplasms exceeds 10% under the current criteria. We also consider that tumor size is an important feature to be considered in the assessment of these neoplasms and together with the histological grade of the tumor offers important features that can be correlated with clinical outcomes.
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Affiliation(s)
- Cesar A Moran
- Department of Pathology, MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Kaleigh E Lindholm
- Department of Pathology, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Hans Brunnström
- Lund University, Laboratory Medicine, Department of Clinical Sciences Lund, Pathology, Lund, 22210, Sweden
| | - Gerald Langman
- Heart of England NHS Foundation Trust, Birmingham, B1 1BB, United Kingdom
| | - Se Jin Jang
- Asan Medical Center, Ulsan University School of Medicine, Seoul, 100-011, Republic of Korea
| | - Dominic Spagnolo
- PathWest Laboratory Medicine Western Australia, University of Western Australia, School of Pathology and Laboratory Medicine, Nedlands, Western Australia, 6006, Australia; University of Notre Dame, Fremantle, Western Australia, 6006, Australia
| | - Siaw Ming Chai
- PathWest Laboratory Medicine Western Australia, University of Western Australia, School of Pathology and Laboratory Medicine, Nedlands, Western Australia, 6006, Australia
| | - Andrew Laycock
- PathWest Laboratory Medicine Western Australia, University of Western Australia, School of Pathology and Laboratory Medicine, Nedlands, Western Australia, 6006, Australia; University of Notre Dame, Fremantle, Western Australia, 6006, Australia
| | | | | | | | - Filomena Medeiros
- Essex Cardiothoracic Center, Basildon, CB1 6NU, United Kingdom; Thurrock University Hospitals NHS Foundation Trust, RM16 4XS, United Kingdom
| | - Lilian Edmunds
- Essex Cardiothoracic Center, Basildon, CB1 6NU, United Kingdom; Thurrock University Hospitals NHS Foundation Trust, RM16 4XS, United Kingdom
| | | | | | - Jae Ro
- Methodist Hospital, Houston, TX, 77030, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Arlene M Correa
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - Boris Sepesi
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - David Rice
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - Reza Mehran
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - Garrett Walsh
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
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