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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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Zhang W, Tian S, Li X, Chen Y, Wang X, Zhang Y, Lv L, Li Y, Shi H, Bai C. ETV6-NTRK2 Fusion in a Patient With Metastatic Pulmonary Atypical Carcinoid Successfully Treated With Entrectinib: A Case Report and Review of the Literature. Clin Lung Cancer 2024; 25:215-224.e3. [PMID: 38584068 DOI: 10.1016/j.cllc.2024.03.005] [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: 01/19/2024] [Revised: 03/04/2024] [Accepted: 03/16/2024] [Indexed: 04/09/2024]
Abstract
Pulmonary atypical carcinoid (AC) is an extremely rare neuroendocrine tumor. The neurotrophic tropomyosin receptor kinase (NTRK) fusions are reported in only 0.5% of nonsmall cell lung cancer, and are more rare in AC with only one previously reported case. Currently, there is little established evidence on the optimal therapeutic strategies and prognosis for advanced cases. We present a female patient with metastatic AC after complete resection. Due to low expression of somatostatin receptor in this case, somatostatin analogs and peptide receptor radionuclide therapy were not available. After pursuing other alternative treatments, including chemotherapy (ie, carboplatin, etoposide, capecitabine, temozolomide, and paclitaxel), everolimus, and atezolizumab, she returned with significant progression, including innumerable subcutaneous nodules, left pleura metastasis, multiple bone metastases, and brain metastases. New biopsy analysis revealed an ETV6-NTRK2 fusion. She was immediately administered the first-generation tropomyosin receptor kinase inhibitor entrectinib at a dose of 600 mg q.d. A subsequent month of treatment resulted in a complete response in all of the metastatic lung lesions. To date, she has maintained sustained benefit for at least 1 year from initiation of entrectinib. Here, we present the first case of a female patient with metastatic AC harboring the ETV6-NTRK2 fusion, and successfully treated with entrectinib, providing evidence for the application of entrectinib in patients with NTRK-positive AC, and underscoring the critical role of molecular profiling for such cases.
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Affiliation(s)
- Wusheng Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Sen Tian
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China; Department of Respiratory and Critical Care Medicine, No. 906 Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, Ningbo, China
| | - Xiang Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China; Department of Respiratory and Critical Care Medicine, General Hospital of Central Theater Command of Chinese People's Liberation Army, Wuhan, China
| | - Yilin Chen
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Xinyu Wang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Yunshuo Zhang
- Department of Pathology, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Lihui Lv
- Department of Respiratory and Critical Care Medicine, No. 906 Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, Ningbo, China
| | - Yonghua Li
- Department of Respiratory and Critical Care Medicine, No. 906 Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, Ningbo, China
| | - Hui Shi
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
| | - Chong Bai
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
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4
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Vocino Trucco G, Righi L, Volante M, Papotti M. Updates on lung neuroendocrine neoplasm classification. Histopathology 2024; 84:67-85. [PMID: 37794655 DOI: 10.1111/his.15058] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 10/06/2023]
Abstract
Lung neuroendocrine neoplasms (NENs) are a heterogeneous group of pulmonary neoplasms showing different morphological patterns and clinical and biological characteristics. The World Health Organisation (WHO) classification of lung NENs has been recently updated as part of the broader attempt to uniform the classification of NENs. This much-needed update has come at a time when insights from seminal molecular characterisation studies revolutionised our understanding of the biological and pathological architecture of lung NENs, paving the way for the development of novel diagnostic techniques, prognostic factors and therapeutic approaches. In this challenging and rapidly evolving landscape, the relevance of the 2021 WHO classification has been recently questioned, particularly in terms of its morphology-orientated approach and its prognostic implications. Here, we provide a state-of-the-art review on the contemporary understanding of pulmonary NEN morphology and the potential contribution of artificial intelligence, the advances in NEN molecular profiling with their impact on the classification system and, finally, the key current and upcoming prognostic factors.
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Affiliation(s)
| | - Luisella Righi
- Department of Oncology, University of Turin, Turin, Italy
| | - Marco Volante
- Department of Oncology, University of Turin, Turin, Italy
| | - Mauro Papotti
- Department of Oncology, University of Turin, Turin, Italy
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5
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Granberg D, Juhlin CC, Falhammar H, Hedayati E. Lung Carcinoids: A Comprehensive Review for Clinicians. Cancers (Basel) 2023; 15:5440. [PMID: 38001701 PMCID: PMC10670505 DOI: 10.3390/cancers15225440] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Lung carcinoids are neuroendocrine tumors, categorized as typical or atypical carcinoids based on their histological appearance. While most of these tumors are slow-growing neoplasms, they still possess malignant potential. Many patients are diagnosed incidentally on chest X-rays or CT scans. Presenting symptoms include cough, hemoptysis, wheezing, dyspnea, and recurrent pneumonia. Endocrine symptoms, such as carcinoid syndrome or ectopic Cushing's syndrome, are rare. Surgery is the primary treatment and should be considered in all patients with localized disease, even when thoracic lymph node metastases are present. Patients with distant metastases may be treated with somatostatin analogues, chemotherapy, preferably temozolomide-based, mTOR inhibitors, or peptide receptor radionuclide therapy (PRRT) with 177Lu-DOTATATE. Most patients have an excellent prognosis. Poor prognostic factors include atypical histology and lymph node metastases at diagnosis. Long-term follow-up is mandatory since metastases may occur late.
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Affiliation(s)
- Dan Granberg
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden;
- Department of Breast, Endocrine Tumors and Sarcomas, Karolinska University Hospital Solna, 17176 Stockholm, Sweden;
| | - Carl Christofer Juhlin
- Department of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden;
- Department of Pathology and Cancer Diagnostics, Karolinska University Hospital Solna, 17176 Stockholm, Sweden
| | - Henrik Falhammar
- Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden;
- Department of Endocrinology, Karolinska University Hospital Solna, 17176 Stockholm, Sweden
| | - Elham Hedayati
- Department of Breast, Endocrine Tumors and Sarcomas, Karolinska University Hospital Solna, 17176 Stockholm, Sweden;
- Department of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden;
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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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Diagnosis and Treatment of Lung Neuroendocrine Neoplasms: Somatostatin Receptor PET Imaging and Peptide Receptor Radionuclide Therapy. PET Clin 2023; 18:223-231. [PMID: 36585338 DOI: 10.1016/j.cpet.2022.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Recently, advancement of somatostatin receptor (SSTR) imaging and theragnostic approach using peptide receptor radionuclide therapy (PRRT) have changed the paradigm of diagnosis and management of neuroendocrine tumor. 68Ga-DOTATATE PET/CT can diagnose the lung carcinoids with high SSTR expression. With combination of 68Ga-DOTATATE PET/CT and 18F-FDG PET/CT, tumor heterogeneity of lung carcinoid can be identified, which may guide optimal patient selection for PRRT. PRRT may be an effective and safe treatment of advanced lung carcinoids during progression with first-line somatostatin analog therapy. This review provides updates on the diagnosis and management of lung carcinoids, focusing on SSTR imaging and PRRT.
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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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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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Luchini C, Pantanowitz L, Adsay V, Asa SL, Antonini P, Girolami I, Veronese N, Nottegar A, Cingarlini S, Landoni L, Brosens LA, Verschuur AV, Mattiolo P, Pea A, Mafficini A, Milella M, Niazi MK, Gurcan MN, Eccher A, Cree IA, Scarpa A. Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring. Mod Pathol 2022; 35:712-720. [PMID: 35249100 PMCID: PMC9174054 DOI: 10.1038/s41379-022-01055-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 02/10/2022] [Accepted: 02/14/2022] [Indexed: 12/18/2022]
Abstract
Ki-67 assessment is a key step in the diagnosis of neuroendocrine neoplasms (NENs) from all anatomic locations. Several challenges exist related to quantifying the Ki-67 proliferation index due to lack of method standardization and inter-reader variability. The application of digital pathology coupled with machine learning has been shown to be highly accurate and reproducible for the evaluation of Ki-67 in NENs. We systematically reviewed all published studies on the subject of Ki-67 assessment in pancreatic NENs (PanNENs) employing digital image analysis (DIA). The most common advantages of DIA were improvement in the standardization and reliability of Ki-67 evaluation, as well as its speed and practicality, compared to the current gold standard approach of manual counts from captured images, which is cumbersome and time consuming. The main limitations were attributed to higher costs, lack of widespread availability (as of yet), operator qualification and training issues (if it is not done by pathologists), and most importantly, the drawback of image algorithms counting contaminating non-neoplastic cells and other signals like hemosiderin. However, solutions are rapidly developing for all of these challenging issues. A comparative meta-analysis for DIA versus manual counting shows very high concordance (global coefficient of concordance: 0.94, 95% CI: 0.83-0.98) between these two modalities. These findings support the widespread adoption of validated DIA methods for Ki-67 assessment in PanNENs, provided that measures are in place to ensure counting of only tumor cells either by software modifications or education of non-pathologist operators, as well as selection of standard regions of interest for analysis. NENs, being cellular and monotonous neoplasms, are naturally more amenable to Ki-67 assessment. However, lessons of this review may be applicable to other neoplasms where proliferation activity has become an integral part of theranostic evaluation including breast, brain, and hematolymphoid neoplasms.
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Affiliation(s)
- Claudio Luchini
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.
- ARC-Net Research Center, University and Hospital Trust of Verona, Verona, Italy.
| | - Liron Pantanowitz
- Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI, USA
| | - Volkan Adsay
- Department of Pathology, Koç University Hospital and Koç University Research Center for Translational Medicine (KUTTAM), Istanbul, Turkey
| | - Sylvia L Asa
- University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA
| | - Pietro Antonini
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Ilaria Girolami
- Division of Pathology, San Maurizio Central Hospital, Bolzano, Italy
| | - Nicola Veronese
- Department of Internal Medicine and Geriatrics, University of Palermo, Palermo, Italy
| | - Alessia Nottegar
- Pathology Unit, Azienda Ospedaliera Universitaria Integrata (AOUI), Verona, Italy
| | - Sara Cingarlini
- Department of Medicine, Section of Oncology, University and Hospital Trust of Verona, Verona, Italy
| | - Luca Landoni
- Department of Surgery, The Pancreas Institute, University and Hospital Trust of Verona, Verona, Italy
| | - Lodewijk A Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anna V Verschuur
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paola Mattiolo
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Antonio Pea
- Department of Surgery, The Pancreas Institute, University and Hospital Trust of Verona, Verona, Italy
| | - Andrea Mafficini
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Michele Milella
- Department of Medicine, Section of Oncology, University and Hospital Trust of Verona, Verona, Italy
| | - Muhammad K Niazi
- Center for Biomedical Informatics, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Metin N Gurcan
- Center for Biomedical Informatics, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Albino Eccher
- Pathology Unit, Azienda Ospedaliera Universitaria Integrata (AOUI), Verona, Italy
| | - Ian A Cree
- International Agency for Research on Cancer, IARC, Lyon, France
| | - Aldo Scarpa
- Department of Diagnostics and Public Health, Section of Pathology, University of Verona, Verona, Italy.
- ARC-Net Research Center, University and Hospital Trust of Verona, Verona, Italy.
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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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Diagnosis of atypical carcinoid can be made on biopsies > 4 mm 2 and is accurate. Virchows Arch 2022; 480:587-593. [PMID: 35089404 PMCID: PMC8989857 DOI: 10.1007/s00428-022-03279-7] [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: 08/23/2021] [Revised: 12/15/2021] [Accepted: 01/13/2022] [Indexed: 10/29/2022]
Abstract
In the 2021 WHO thoracic tumors, gradation of lung carcinoids in biopsies is discouraged. We hypothesized that atypical carcinoid (AC) could be reliably diagnosed in larger preoperative biopsies. Biopsy-resection paired specimens of carcinoid patients were included, and definitive diagnosis was based on the resection specimen according to the WHO 2021 classification. A total of 64 biopsy-resection pairs (26 typical carcinoid (TC) (41%) and 38 AC (59%)) were analyzed. In 35 patients (55%), tumor classification between the biopsy and resection specimen was concordant (26 TC, 9 AC). The discordance in the remaining 29 biopsies (45%, 29 TC, 0 AC) was caused by misclassification of AC as TC. In biopsies measuring < 4 mm2, 15/15 AC (100%) were misclassified compared to 14/23 AC (61%) of biopsies ≥ 4 mm2. Categorical concordance of Ki-67 in biopsy-resection pairs at threshold of 5% was 68%. Ki-67 in the biopsy was not of additional value to discriminate between TC and AC, irrespective of the biopsy size. Atypical carcinoid is frequently missed in small bronchial biopsies (< 4 mm2). If the carcinoid classification is clinically relevant, a cumulative biopsy size of at least 4 mm2 should be considered. Our study provides strong arguments to make the diagnosis of AC in case of sufficient mitosis for AC on a biopsy and keep the diagnosis "carcinoid NOS" for carcinoids with ≤ 1 mitosis per 2 mm2. Ki-67 has a good concordance but was not discriminative for definitive diagnosis.
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14
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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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15
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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: 424] [Impact Index Per Article: 141.3] [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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16
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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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17
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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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18
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Milione M, Maisonneuve P, Grillo F, Mangogna A, Centonze G, Prinzi N, Pusceddu S, Garzone G, Cattaneo L, Busico A, Bossi P, Spaggiari P, Pellegrinelli A, Del Gobbo A, Ferrero S, Kankava K, Pruneri G, Rolli L, Roca E, Bercich L, Tironi A, Benvenuti MR, Gallazzi MS, Romano R, Berruti A, Pastorino U, Capella C. Ki-67 Index of 55% Distinguishes Two Groups of Bronchopulmonary Pure and Composite Large Cell Neuroendocrine Carcinomas with Distinct Prognosis. Neuroendocrinology 2021; 111:475-489. [PMID: 32365350 DOI: 10.1159/000508376] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/01/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Little information is available concerning prognostic factors for bronchopulmonary large cell neuroendocrine carcinomas (BP-LCNECs) and even less is known about combined LCNECs (Co-LCNECs). We investigated whether an integrated morphological, immunohistochemical, and molecular approach could be used for their prognostic evaluation. METHODS Morphological (including combined features), proliferative (mitotic count/Ki-67 index), immunohistochemical (napsin A, p40, TTF-1, CD44, OTP, SSTR2A, SSTR5, mASH1, p53, RB1, and MDM2), and genomic (TP53, RB1, ATM, JAK2, KRAS, and STK11) findings were analyzed in BP-LCNECs from 5 Italian centers, and correlated with overall survival (OS). The Ki-67 index was expressed as the percentage of positive cells in hot spots as indicated in the WHO 2019 Digestive System Tumors and, for Co-LCNECs, the Ki-67 index was evaluated only in the LCNEC component. RESULTS A total of 111 LCNECs were distinguished into 70 pure LCNECs, 35 Co-LCNECs (27 with adenocarcinoma [ADC] and 8 with squamous cell carcinoma [SqCC]), and 6 LCNECs with only napsin A immunoreactivity. The Ki-67 index cutoff at 55% evaluated in the neuroendocrine component was the most powerful predictor of OS (log-rank p = 0.0001) in all LCNECs; 34 cases had a Ki-67 index <55% (LCNEC-A) and 77 had a Ki-67 index ≥55% (LCNEC-B). Statistically significant differences in OS (log-rank p = 0.0001) were also observed between pure and Co-LCNECs. A significant difference in OS was found between pure LCNECs-A and Co-LCNECs-A (p < 0.05) but not between pure LCNECs-B and Co-LCNECs-B. Co-LCNEC-ADC and LCNEC napsin A+ cases had longer OS than pure LCNEC and Co-LCNEC-SqCC cases (log-rank p = 0.0001). On multivariable analysis, tumor location, pure versus combined features, and napsin A, but no single gene mutation, were significantly associated with OS after adjustment for Ki-67 index and study center (p < 0.05). CONCLUSIONS The Ki-67 proliferation index and the morphological characterization of combined features in LCNECs seem to be important tools for predicting clinical outcome in BP-LCNECs.
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Affiliation(s)
- Massimo Milione
- First Division of Pathology, Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy,
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Federica Grillo
- Unit of Pathology, Department of Surgical Sciences and Integrated Diagnostics, University of Genoa and Ospedale Policlinico San Martino, Genoa, Italy
| | - Alessandro Mangogna
- Unit of Pathology, Clinical Department of Medical, Surgical and Health Science, University of Trieste, Ospedale di Cattinara, Trieste, Italy
| | - Giovanni Centonze
- First Division of Pathology, 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
| | - 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
| | - Giovanna Garzone
- First Division of Pathology, Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Laura Cattaneo
- First Division of Pathology, Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Adele Busico
- 2nd Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
| | - Paola Bossi
- Pathology Department, Humanitas Clinical and Research Center, Humanitas Milan ENETS Center of Excellence, Milan, Italy
| | - Paola Spaggiari
- Pathology Department, Humanitas Clinical and Research Center, Humanitas Milan ENETS Center of Excellence, Milan, Italy
| | - Alessio Pellegrinelli
- Department of Pathology, ASST Franciacorta, Mellino Mellini Hospital, Brescia, Italy
| | - Alessandro Del Gobbo
- Division of Pathology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefano Ferrero
- Division of Pathology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Biomedical Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Ketevani Kankava
- Teaching, Scientific and Diagnostic Pathology Laboratory, Tbilisi State Medical University, Tbilisi, Georgia
| | - Giancarlo Pruneri
- 2nd Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy
- School of Medicine, University of Milan, Milan, Italy
| | - Luigi Rolli
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Elisa Roca
- Medical Oncology Unit, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Science and Public Health, University of Brescia, Brescia, Italy
| | - Luisa Bercich
- Department of Pathology, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Andrea Tironi
- Department of Pathology, ASST Spedali Civili of Brescia, 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
| | - Maria Sole Gallazzi
- 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
| | - Rosalia Romano
- 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
| | - Alfredo Berruti
- Medical Oncology Unit, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Science and Public Health, University of Brescia, Brescia, Italy
| | - Ugo Pastorino
- Thoracic Surgery Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Carlo Capella
- Unit of Pathology, Department of Medicine and Surgery and Research Center for the Study of Hereditary and Familial tumors, University of Insubria, Varese, Italy
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19
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Hermans BCM, Derks JL, Moonen L, Habraken CHJ, der Thüsen JV, Hillen LM, Speel EJM, Dingemans AMC. Pulmonary neuroendocrine neoplasms with well differentiated morphology and high proliferative activity: illustrated by a case series and review of the literature. Lung Cancer 2020; 150:152-158. [PMID: 33171403 DOI: 10.1016/j.lungcan.2020.10.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 09/07/2020] [Accepted: 10/16/2020] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Pulmonary neuroendocrine neoplasms (NENs) are subdivided in carcinoids and neuroendocrine carcinomas (small cell lung carcinoma and large cell neuroendocrine carcinoma (LCNEC)), based on the presence of necrosis and mitotic index (MI). However, it is unclear if tumors with well differentiated morphology but high proliferation rate should be regarded as LCNEC or as high grade carcinoids. In previous case series, a longer overall survival then expected in LCNEC has been suggested. We describe 7 of those cases analyzed for pRb expression and overall survival. MATERIAL AND METHODS Cases with well differentiated morphology, but MI > 10/2mm2 and/or Ki-67 proliferation index >20% were selected based on pathology reports of consecutive NENs in our university medical center (Maastricht UMC+, 2007-2018) and confirmed by pathological review. Immunohistochemistry was performed to assess pRb expression. RESULTS Seven stage IV cases were included in this study. Median overall survival was 8 months (95% confidence interval 5-11 months). Cases with well differentiated morphology and preserved pRb expression (4/7) had a median overall survival of 45 months. CONCLUSION A subgroup of pulmonary NENs with well differentiated morphology but high proliferation rate likely exists. pRb staining might be helpful to predict prognosis, but clinical relevance remains to be studied.
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Affiliation(s)
- B C M Hermans
- Department of Pulmonary Diseases, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands
| | - J L Derks
- Department of Pulmonary Diseases, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands
| | - L Moonen
- Department of Pathology, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands
| | - C H J Habraken
- Department of Pulmonary Diseases, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands
| | - J von der Thüsen
- Department of Pathology, Erasmus Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands
| | - L M Hillen
- Department of Pathology, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands
| | - E J M Speel
- Department of Pathology, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands
| | - A-M C Dingemans
- Department of Pulmonary Diseases, GROW school for Oncology & Developmental Biology, Maastricht University Medical Centre, P.O. Box 5800, 6202 AZ Maastricht, the Netherlands; Department of Pulmonary Diseases, Erasmus Medical Centre, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
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20
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Phospho-histone-H3 immunostaining for pulmonary carcinoids: impact on clinical appraisal, interobserver correlation, and diagnostic processing efficiency. Hum Pathol 2020; 106:74-81. [PMID: 33007357 DOI: 10.1016/j.humpath.2020.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 09/14/2020] [Accepted: 09/21/2020] [Indexed: 02/01/2023]
Abstract
Lung carcinoid tumors are classified as either typical or atypical based on the presence of necrosis and the maximum mitotic count per 2 mm2 area. Determining the mitotic count, which is manually conducted on slides stained with hematoxylin and eosin (HE), is time-consuming and subject to high interobserver variability. The objective of this study was to test the sensitivity and specificity of a surrogate mitosis marker, phospho-histone-H3 (PHH3) immunostaining, in the processing of pulmonary carcinoids as compared with the standard HE evaluation. Carcinoid tissue blocks that were available from lung resection specimens were analyzed using HE and PHH3 stains. Two thoracic pathologists and two residents determined the mitotic count on HE and PHH3 stains in accordance with the 2015 WHO guidelines and recorded the time required to complete this task. For both methods, the interobserver agreement among raters for the mitotic count/2 mm2 was assessed by conducting intraclass correlation analyses. We found that for both pathologists and residents, the time required to determine the mitotic count using the PHH3 method was reduced compared with the traditional HE method. Furthermore, residents detected more mitoses/2 mm2 using the PHH3 stain compared with the HE method. More importantly, the PHH3 method yielded better interobserver agreement than the HE method in terms of mitoses/mm2 detection. Overall, our data confirmed that histologic assessments of carcinoid tumors using PHH3 staining provides practical benefits in terms of scoring times, mitosis detection, and reproducibility of mitotic counts. In addition, we found that the benefit was even greater for less experienced pathologists.
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21
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Singh S, Bergsland EK, Card CM, Hope TA, Kunz PL, Laidley DT, Lawrence B, Leyden S, Metz DC, Michael M, Modahl LE, Myrehaug S, Padda SK, Pommier RF, Ramirez RA, Soulen M, Strosberg J, Sung A, Thawer A, Wei B, Xu B, Segelov E. Commonwealth Neuroendocrine Tumour Research Collaboration and the North American Neuroendocrine Tumor Society Guidelines for the Diagnosis and Management of Patients With Lung Neuroendocrine Tumors: An International Collaborative Endorsement and Update of the 2015 European Neuroendocrine Tumor Society Expert Consensus Guidelines. J Thorac Oncol 2020; 15:1577-1598. [PMID: 32663527 DOI: 10.1016/j.jtho.2020.06.021] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 06/14/2020] [Accepted: 06/29/2020] [Indexed: 12/12/2022]
Abstract
Lung neuroendocrine tumors (LNETs) are uncommon cancers, and there is a paucity of randomized evidence to guide practice. As a result, current guidelines from different neuroendocrine tumor societies vary considerably. There is a need to update and harmonize global consensus guidelines. This article reports the best practice guidelines produced by a collaboration between the Commonwealth Neuroendocrine Tumour Research Collaboration and the North American Neuroendocrine Tumor Society. We performed a formal endorsement and updating process of the 2015 European Neuroendocrine Tumor Society expert consensus article on LNET. A systematic review from January 2013 to October 2017 was conducted to procure the most recent evidence. The stepwise endorsement process involved experts from all major subspecialties, patients, and advocates. Guided by discussion of the most recent evidence, each statement from the European Neuroendocrine Tumor Society was either endorsed, modified, or removed. New consensus statements were added if appropriate. The search yielded 1109 new publications, of which 230 met the inclusion criteria. A total of 12 statements were endorsed, 22 statements were modified or updated, one was removed, and two were added. Critical answered questions for each topic in LNET were identified. Through the consensus process, guidelines for the management of patients with local and metastatic neuroendocrine tumors have been updated to include both recent evidence and practice changes relating to technological and definitional advances. The guidelines provide clear, evidence-based statements aimed at harmonizing the global approach to patients with LNETs, on the basis of the principles of person-centered and LNET-specific care. The importance of LNET-directed research and person-centered care throughout the diagnosis, treatment, and follow-up journey is emphasized along with directions for future collaborative research.
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Affiliation(s)
- Simron Singh
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
| | - Emily K Bergsland
- Department of Medicine, Division of Hematology/Oncology, University of California, San Francisco, San Francisco, California
| | | | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, Division of Hematology/Oncology, University of California, San Francisco, San Francisco, California
| | - Pamela L Kunz
- Department of Medicine, Yale University, New Haven, Connecticut
| | - David T Laidley
- Department of Medical Imaging, Division of Nuclear Medicine, London Health Sciences Centre, London, Ontario, Canada
| | - Ben Lawrence
- Discipline of Oncology, University of Auckland, Auckland, New Zealand
| | - Simone Leyden
- Unicorn Foundation, Blairgowrie, Victoria, Australia
| | - David C Metz
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michael Michael
- Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - Lucy E Modahl
- Auckland Radiology Group, Auckland City Hospital, Auckland, New Zealand
| | - Sten Myrehaug
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Sukhmani K Padda
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California
| | | | - Robert A Ramirez
- Department of Medical Oncology, Ochsner Medical Center, New Orleans, Louisiana
| | - Michael Soulen
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Arthur Sung
- Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Stanford University, Stanford, California
| | - Alia Thawer
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Benjamin Wei
- Department of Surgery, Birmingham Medical Center, University of Alabama, Birmingham, Alabama
| | - Bin Xu
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Eva Segelov
- Department of Oncology, Monash Health, Monash University, Melbourne, Victoria, Australia
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22
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Peri M, Fazio N. Clinical Evaluation of Everolimus in the Treatment of Neuroendocrine Tumors of the Lung: Patient Selection and Special Considerations. A Systematic and Critical Review of the Literature. LUNG CANCER-TARGETS AND THERAPY 2020; 11:41-52. [PMID: 32753993 PMCID: PMC7355078 DOI: 10.2147/lctt.s249928] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 06/12/2020] [Indexed: 12/25/2022]
Abstract
Neuroendocrine tumors (NETs) of the lung are well-differentiated neuroendocrine neoplasms (NENs) with a heterogeneous clinical behaviour. Unlike gastroenteropancreatic NENs where therapeutic armamentarium clearly increased over the last decade, everolimus represented the only clinical practical innovation for lung NET patients over the last years. Therefore, for lung NETs, a multidisciplinary discussion within a dedicated team remains critical for an adequate decision-making. Although the main regulatory authorities considered the everolimus-related evidence is enough to approve the drug in advanced lung NETs, several clinical features deserve to be discussed. In this review, we systemically and critically analysed the main clinical studies including patients with advanced lung NETs receiving everolimus. Furthermore, we reported the biological and clinical background of everolimus in lung NET setting. The purpose of this review is to help clinical community to contextualize evidence and experience for a personalised use of this drug in clinical practice in the context of advanced lung NET patients.
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Affiliation(s)
- Marta Peri
- Medical Oncology, Department of Surgical, Oncological and Stomatological Sciences, University of Palermo, Palermo, Italy
| | - Nicola Fazio
- Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, European Institute of Oncology, IEO, IRCCS, Milan, Italy
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23
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Boland JM, Kroneman TN, Jenkins SM, Terra SBSP, Xie H, Molina J, Mounajjed T, Roden AC. Ki-67 Labeling Index in Pulmonary Carcinoid Tumors: Comparison Between Small Biopsy and Resection Using Tumor Tracing and Hot Spot Methods. Arch Pathol Lab Med 2020; 144:982-990. [PMID: 31944862 DOI: 10.5858/arpa.2019-0374-oa] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Pulmonary carcinoids are classified as typical or atypical by assessing necrosis and mitoses, which usually cannot be adequately assessed on small biopsies. Ki-67 is not currently used to grade pulmonary carcinoids, but it may be helpful to determine preliminary grade in biopsies. However, the rate at which Ki-67 could underestimate or overestimate grade on small biopsies has not been well studied. OBJECTIVE.— To compare Ki-67 labeling obtained on small biopsies to subsequent resection. DESIGN.— Ki-67 was performed on paired biopsy and resection specimens from 55 patients. Slides were scanned using Aperio ScanScope. Labeling index was determined using automated hot spot and tumor tracing methods. RESULTS.— The study included 41 typical and 14 atypical carcinoids. Atypical carcinoids were larger and had more distant metastases. Death from disease occurred in 3 patients (all had atypical carcinoids). Median hot spot Ki-67 labeling index was greater in resection compared with biopsy by 0.7% (P = .02). Median tumor tracing Ki-67 was lower in resection compared with biopsy by 0.5% (P < .001). Receiver-operating characteristic analysis showed similar hot spot Ki-67 cutoffs to predict atypical histology (3.5% for biopsy, 3.6% for resection; area under the curve [AUC], 0.75 and 0.74, respectively). Different optimal cutoffs were needed for tracing method based on biopsy (2.1%; AUC, 0.75) compared with resection (1.0%; AUC, 0.67). CONCLUSIONS.— Hot spot Ki-67 tends to underestimate grade on small biopsies, whereas grade is overestimated by tumor tracing. Hot spot Ki-67 cutoff of 3.5% predicted atypical histology for both biopsy and resection. Different biopsy and resection cutoffs were necessary for tumor tracing, which would make clinical implementation more difficult.
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Affiliation(s)
- Jennifer M Boland
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Trynda N Kroneman
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Sarah M Jenkins
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Simone B S P Terra
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Hao Xie
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Julian Molina
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Taofic Mounajjed
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
| | - Anja C Roden
- From the Departments of Laboratory Medicine and Pathology (Drs Boland, Terra, Mounajjed, and Roden, and Ms Kroneman), Health Sciences Research (Ms Jenkins), and Oncology (Drs Xie and Molina), Mayo Clinic, Rochester, Minnesota
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24
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Abstract
Pulmonary neuroendocrine tumors represent a morphologic spectrum of tumors from the well-differentiated typical carcinoid tumor, to the intermediate-grade atypical carcinoid tumor, to the high-grade neuroendocrine carcinomas composed of small-cell carcinoma and large-cell neuroendocrine carcinoma. The addition of immunohistochemistry in diagnostics is helpful and often essential, especially in the classification of large-cell neuroendocrine carcinoma. The importance of the intermediate-grade atypical carcinoid group is underscored by the impact of this diagnosis on therapy. The distinction of pulmonary small-cell carcinoma from large-cell neuroendocrine carcinoma, despite both being in the high-grade group, is of relevance to the therapeutic approach to these tumor types.
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Affiliation(s)
- Alain C Borczuk
- Department of Pathology, Weill Cornell Medicine, 1300 York Avenue, ST10-1000A, New York, NY 10065, USA.
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25
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The Role of Histologic Grading and Ki-67 Index in Predicting Outcomes in Pulmonary Carcinoid Tumors. Am J Surg Pathol 2019; 44:224-231. [DOI: 10.1097/pas.0000000000001358] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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26
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Vesterinen T, Salmenkivi K, Mustonen H, Kuopio T, Lappi-Blanco E, Paavonen T, Vainio P, Knuuttila A, Carpén O, Haglund C, Arola J. Performance of Finnish biobanks in nationwide pulmonary carcinoid tumour research. Virchows Arch 2019; 476:273-283. [PMID: 31385069 PMCID: PMC7028842 DOI: 10.1007/s00428-019-02625-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 07/03/2019] [Accepted: 07/15/2019] [Indexed: 12/21/2022]
Abstract
Finnish hospital-integrated biobanks administer millions of formalin-fixed paraffin-embedded tissue samples collected within the clinical diagnostics. According to the Finnish Biobank Act, these samples can be coupled with patients' clinical follow-up data and the data retrieved from national health registries. We collected a nationwide pulmonary carcinoid tumour series from Finnish biobanks to study prognostic factors as well as to explore how the number of tumours found in the Finnish biobanks corresponds to the number of tumours registered by the Finnish Cancer Registry (FCR). Finnish biobanks identified 88% of the tumours registered by the FCR and were able to deliver 63%. The main reasons for lacking samples were paucity of resected primary tumour tissue, incompatible primary diagnosis, and the absence of tissue blocks in the archives. The main bottleneck in the sample application process was retrieving patient data. Altogether, we received 224 tumour samples with appropriate patient data and identified six prognostic factors for shorter disease-specific survival: age over 56 years at the time of diagnosis, tumour size over 2.5 cm, atypical histology, Ki-67 proliferation index higher than 2.5%, hilar/mediastinal lymph node involvement at the time of diagnosis, and the presence of metastatic disease. In conclusion, the Finnish biobank infrastructure offers excellent opportunities for tissue-based research. However, to be able to develop the biobank operations further, involving more medical knowledge in the sample and data acquisition process is a necessity. Also, when working with tissue samples collected over decades, histological expertise is essential for re-evaluation and re-classification of the samples.
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Affiliation(s)
- Tiina Vesterinen
- HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, Helsinki, Finland.
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Tukholmankatu 8, Helsinki, Finland.
| | - Kaisa Salmenkivi
- HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, Helsinki, Finland
| | - Harri Mustonen
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, Helsinki, Finland
| | - Teijo Kuopio
- Department of Biological and Environmental Science, University of Jyväskylä, Survontie 9, Jyväskylä, Finland
- Department of Pathology, Central Finland Health Care District, Keskussairaalantie 19, Jyväskylä, Finland
| | - Elisa Lappi-Blanco
- Department of Pathology, Center for Cancer Research and Translational Medicine, Oulu University Hospital and University of Oulu, Aapistie 5, Oulu, Finland
| | - Timo Paavonen
- Department of Pathology, Fimlab Laboratories and Department of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, Tampere, Finland
| | - Paula Vainio
- Department of Pathology, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, Finland
| | - Aija Knuuttila
- Department of Pulmonary Medicine, Heart and Lung Center, and Cancer Center, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, Helsinki, Finland
| | - Olli Carpén
- HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, Helsinki, Finland
- Research Program in Systems Oncology, University of Helsinki, Haartmaninkatu 8, Helsinki, Finland
| | - Caj Haglund
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 4, Helsinki, Finland
- Translational Cancer Medicine Research Program, Faculty of Medicine, University of Helsinki, Haartmaninkatu 8, Helsinki, Finland
| | - Johanna Arola
- HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Haartmaninkatu 3, Helsinki, Finland
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27
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Brcic L, Heidinger M, Sever AZ, Zacharias M, Jakopovic M, Fediuk M, Maier A, Quehenberger F, Seiwerth S, Popper H. Prognostic value of cyclin A2 and B1 expression in lung carcinoids. Pathology 2019; 51:481-486. [PMID: 31230818 DOI: 10.1016/j.pathol.2019.03.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 02/18/2019] [Accepted: 03/22/2019] [Indexed: 01/12/2023]
Abstract
Carcinoid classification in the lung is still based on morphological criteria. Although there are many studies investigating the role of Ki-67 proliferation index in the classification of lung neuroendocrine tumours, it is still not used in routine diagnostics. Interestingly, cyclins, which have a crucial role in controlling the cell cycle, have not been thoroughly studied in lung neuroendocrine tumours. The aim of our study was to investigate the correlation of cyclin A2 and B1 expression with prognosis, Ki-67 proliferation index, and carcinoid morphology. A cohort of 134 resected typical and atypical carcinoids was stained with antibodies against Ki-67, cyclin A2 and B1. The positive nuclear reaction was assessed in hot spot areas and expressed as the percentage of tumour cells. Univariate analyses found the highest relative hazard between low and high cyclin A2 expression both with respect to overall survival [hazard ratio (HR)=16; 95% confidence interval (CI) 4.8-51; p=0.0000054], and relapse (HR=8; 95% CI 3.1-21; p=0.00002). In multivariate analysis for overall survival cyclin A2 (HR=10; 95% CI 2.5->100; p=0.0082) and B1 (HR=6.5; 95% CI 1.5-35; p=0.02) remained significant when adjusted for other risk factors, whereas Ki-67 was no longer significant (HR=0.64; 95% CI 0.003-5.5; p=0.65). This suggests that Ki-67 is closer to conventional risk factors for survival than cyclin A2 and B1. Furthermore, the analysis revealed 4 mitoses per 2 mm2 as a more powerful prognostic cut-off than currently accepted 2 mitoses. We have clearly demonstrated that application of cyclin A2 and cyclin B1 might bring additional value regarding the overall and progression-free survival of patients with carcinoids of the lung.
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Affiliation(s)
- Luka Brcic
- Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria.
| | - Martin Heidinger
- Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria
| | - Anita Zenko Sever
- University Hospital Centre Zagreb, Clinical Department of Pathology and Cytology, Zagreb, Croatia
| | - Martin Zacharias
- Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria
| | - Marko Jakopovic
- University of Zagreb School of Medicine, Department for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Melanie Fediuk
- Medical University of Graz, Department of Surgery, Division of Thoracic and Hyperbaric Surgery, Graz, Austria
| | - Alfred Maier
- Medical University of Graz, Department of Surgery, Division of Thoracic and Hyperbaric Surgery, Graz, Austria
| | - Franz Quehenberger
- Medical University of Graz, Institute for Medical Informatics, Statistics and Documentation, Graz, Austria
| | - Sven Seiwerth
- University of Zagreb School of Medicine, Institute of Pathology, Zagreb, Croatia
| | - Helmut Popper
- Medical University of Graz, Diagnostic and Research Institute of Pathology, Graz, Austria
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28
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Automated quantification of Ki-67 index associates with pathologic grade of pulmonary neuroendocrine tumors. Chin Med J (Engl) 2019; 132:551-561. [PMID: 30807354 PMCID: PMC6416093 DOI: 10.1097/cm9.0000000000000109] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Background: Classification of the pulmonary neuroendocrine tumor (pNET) categories is a step-wise process identified by the presence of necrosis and number of mitoses per 2 mm2. In neuroendocrine tumor pathology, Ki-67 was first described as a prognostic factor in the pancreas and incorporated into the grading system of digestive tract neuroendocrine neoplasms in the 2010 WHO classification. However, the significance of Ki-67 in pNETs was still a controversial issue. This study was to investigate the potentially diagnostic value of Ki-67 in pNETs. Methods: We retrieved 159 surgical specimens of pNETs, including 35 typical carcinoids (TCs), 2 atypical carcinoid (ACs), 28 large-cell neuroendocrine carcinomas (LCNECs), 94 small-cell lung cancers (SCLCs). Manual conventional method (MCM) and computer-assisted image analysis method (CIAM) were used to calculate the Ki-67 proliferative index. In CIAM, 6 equivalent fields (500 × 500 μm) at 10× magnification were manually annotated for digital image analysis. Results: The Ki-67 index among the 4 groups with ranges of 0.38% to 12.66% for TC, 4.34% to 29.48% for AC, 30.67% to 93.74% for LCNEC, and 40.71% to 96.87% for SCLC. The cutoff value of Ki-67 index to distinguish low grade with high grade was 30.07%. For the univariate survival analyses in pNETs, both the overall survival and progression-free survival correlated with Ki-67 index. In addition, the Ki-67 index performed by CIAM was proved to be of great positive correlation with MCM. Conclusions: Ki-67 index counted by CIAM is a reliable method and can be a useful adjunct to classify the low- and high-grade NETs.
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29
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Pelosi G, Bianchi F, Hofman P, Pattini L, Ströbel P, Calabrese F, Naheed S, Holden C, Cave J, Bohnenberger H, Dinter H, Harari S, Albini A, Sonzogni A, Papotti M, Volante M, Ottensmeier CH. Recent advances in the molecular landscape of lung neuroendocrine tumors. Expert Rev Mol Diagn 2019; 19:281-297. [PMID: 30900485 DOI: 10.1080/14737159.2019.1595593] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 03/12/2019] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Neuroendocrine tumors of the lung (Lung-NETs) make up a heterogenous family of neoplasms showing neuroendocrine differentiation and encompass carcinoids and neuroendocrine carcinomas. On molecular grounds, they considered two completely distinct and separate tumor groups with no overlap of molecular alterations nor common developmental mechanisms. Areas covered: Two perspectives were evaluated based on an extensive review and rethinking of literature: (1) the current classification as an instrument to obtaining clinical and molecular insights into the context of Lung-NETs; and (2) an alternative and innovative interpretation of these tumors, proposing a tripartite separation into early aggressive primary high-grade neuroendocrine tumors (HGNET), differentiating or secondary HGNET, and indolent NET. Expert opinion: We herein provide an alternative outlook on Lung-NETs, which is a paradigm shift to current pathogenesis models and expands the understanding of these tumors.
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Affiliation(s)
- Giuseppe Pelosi
- a Department of Oncology and Hemato-Oncology , University or Milan , Milan , Italy
- b Inter-hospital Pathology Division , Institute for Research and Care-IRCCS MultiMedica , Milan , Italy
| | - Fabrizio Bianchi
- c Cancer Biomarkers Unit, Foundation for Research and Care-IRCCS "Casa Sollievo della Sofferenza" , Foggia , Italy
| | - Paul Hofman
- d Laboratory of Clinical and Experimental Pathology , FHU OncoAge, Nice Hospital, Biobank BB-0033-00025, IRCAN, Inserm U1081 CNRS 7284, University Côte d'Azur , Nice , France
| | - Linda Pattini
- e Department of Electronics , Information and Bioengineering, Polytechnic of Milan , Milan , Italy
| | - Philipp Ströbel
- f Institute of Pathology , University Medical Center Göttingen , Göttingen , Germany
| | - Fiorella Calabrese
- g Department of Cardiac, Thoracic and Vascular Sciences , University of Padua , Padua , Italy
| | - Salma Naheed
- h Cancer Sciences Unit, Faculty of Medicine , University of Southampton , Southampton , UK
| | - Chloe Holden
- i Department of Medical Oncology , Royal Bournemouth and Christchurch Hospitals NHS Trust , Bournemouth , UK
| | - Judith Cave
- j Department of Medical Oncology , University Hospital Southampton NHS FT , Southampton , UK
| | - Hanibal Bohnenberger
- f Institute of Pathology , University Medical Center Göttingen , Göttingen , Germany
| | - Helen Dinter
- f Institute of Pathology , University Medical Center Göttingen , Göttingen , Germany
| | - Sergio Harari
- k Department of Medical Sciences and Division of Pneumology, San Giuseppe Hospital , Institute for Research and Care-IRCCS MultiMedica , Milan , Italy
| | - Adriana Albini
- l Laboratory of Vascular Biology and Angiogenesis , Institute for Research and Care-IRCCS MultiMedica , Milan , Italy
| | - Angelica Sonzogni
- m Department of Pathology and Laboratory Medicine , Foundation for Research and Care-IRCCS National Cancer Institute , Milan , Italy
| | - Mauro Papotti
- n Department of Oncology , University of Turin , Turin , Italy
| | - Marco Volante
- o Department of Oncology , University of Turin and Pathology Unit San Luigi Hospital , Turin , Italy
| | - Christian H Ottensmeier
- p Christian CRUK and NIHR Southamtpon Experimental Cancer Medicine Centre, Faculty of Medicine , University of Southampton , Southampton , UK
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Rindi G, Klimstra DS, Abedi-Ardekani B, Asa SL, Bosman FT, Brambilla E, Busam KJ, de Krijger RR, Dietel M, El-Naggar AK, Fernandez-Cuesta L, Klöppel G, McCluggage WG, Moch H, Ohgaki H, Rakha EA, Reed NS, Rous BA, Sasano H, Scarpa A, Scoazec JY, Travis WD, Tallini G, Trouillas J, van Krieken JH, Cree IA. A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. Mod Pathol 2018; 31:1770-1786. [PMID: 30140036 PMCID: PMC6265262 DOI: 10.1038/s41379-018-0110-y] [Citation(s) in RCA: 612] [Impact Index Per Article: 102.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 06/14/2018] [Accepted: 06/14/2018] [Indexed: 02/08/2023]
Abstract
The classification of neuroendocrine neoplasms (NENs) differs between organ systems and currently causes considerable confusion. A uniform classification framework for NENs at any anatomical location may reduce inconsistencies and contradictions among the various systems currently in use. The classification suggested here is intended to allow pathologists and clinicians to manage their patients with NENs consistently, while acknowledging organ-specific differences in classification criteria, tumor biology, and prognostic factors. The classification suggested is based on a consensus conference held at the International Agency for Research on Cancer (IARC) in November 2017 and subsequent discussion with additional experts. The key feature of the new classification is a distinction between differentiated neuroendocrine tumors (NETs), also designated carcinoid tumors in some systems, and poorly differentiated NECs, as they both share common expression of neuroendocrine markers. This dichotomous morphological subdivision into NETs and NECs is supported by genetic evidence at specific anatomic sites as well as clinical, epidemiologic, histologic, and prognostic differences. In many organ systems, NETs are graded as G1, G2, or G3 based on mitotic count and/or Ki-67 labeling index, and/or the presence of necrosis; NECs are considered high grade by definition. We believe this conceptual approach can form the basis for the next generation of NEN classifications and will allow more consistent taxonomy to understand how neoplasms from different organ systems inter-relate clinically and genetically.
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Affiliation(s)
- Guido Rindi
- Istituto di Anatomia Patologica, Università Cattolica-Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - David S Klimstra
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Behnoush Abedi-Ardekani
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | - Sylvia L Asa
- University Health Network, University of Toronto, Toronto, ON, Canada
| | | | - Elisabeth Brambilla
- CHUGA, UniversitéUGA, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Klaus J Busam
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ronald R de Krijger
- Department of Pathology, University Medical Center Utrecht and Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | | | | | | | - Günter Klöppel
- Department of Pathology, Technical University of München, München, Germany
| | - W Glenn McCluggage
- Department of Pathology, Belfast Health and Social Care Trust, Belfast, UK
| | - Holger Moch
- University Hospital Zurich, Zurich, Switzerland
| | - Hiroko Ohgaki
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France
| | | | | | - Brian A Rous
- National Cancer Registration and Analysis Service, Fulbourn, UK
| | - Hironobu Sasano
- Department of Pathology, Tohoku University School of Medicine, Sendai, Japan
| | - Aldo Scarpa
- Section of Pathology, ARC-Net Research Center and Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy
| | - Jean-Yves Scoazec
- Departement of Pathology, Gustave Roussy Cancer Campus, Villejuif, France
| | - William D Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Giovanni Tallini
- University Medical Center, University of Bologna, Bologna, Italy
| | | | - J Han van Krieken
- Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Ian A Cree
- International Agency for Research on Cancer (IARC), World Health Organization (WHO), Lyon, France.
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31
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The use of Ki-67 labeling index to grade pulmonary well-differentiated neuroendocrine neoplasms: current best evidence. Mod Pathol 2018; 31:1523-1531. [PMID: 29802361 DOI: 10.1038/s41379-018-0076-9] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 04/04/2018] [Accepted: 04/08/2018] [Indexed: 01/28/2023]
Abstract
Although Ki-67 labeling index (Ki-67%) is not a diagnostic or grading criterion in the World Health Organization classification of pulmonary carcinoid tumor, oncologists often request this test. A survey was administered at a North American Society for Neuroendocrine Tumors meeting to understand how Ki-67% is used in oncologic practices. A systematic literature review was performed to gather best evidence regarding the use of Ki-67%. Consecutive pulmonary carcinoids were stratified into pulmonary typical carcinoids with Ki-67% <5% (group A, n = 187), typical carcinoids with Ki-67% ≥5% (group B, n = 38) and atypical carcinoids irrespective of Ki-67% (group C, n = 31). Overall survival, progression-free survival, recurrence proportions and time to recurrence were compared, by group, using the log-rank test, chi-square statistics and ANOVA, respectively. Our survey confirmed that Ki-67% is frequently used by specialists caring for these patients. Ki-67% of 1-7% significantly correlated with overall survival in the literature but we found no information about Ki-67% cut-off values that would accurately distinguish pulmonary typical from atypical carcinoids or estimate the prognosis of patients stratified by World Health Organization diagnosis and Ki-67% cut-off. Overall survival was significantly different in our 3 patient groups (p < 0.001), with survival probabilities decreasing from groups A to C. Progression-free survival was significantly longer in group A than B (p < 0.007). Our results support the concept that by combining World Health Organization diagnosis and Ki-67%, pulmonary carcinoids can be stratified into 3 grades: G1 (typical carcinoids with Ki-67% <5), G2 (typical carcinoids with Ki-67% ≥5%) and G3 (atypical carcinoids) with different prognoses.
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Vesterinen T, Mononen S, Salmenkivi K, Mustonen H, Räsänen J, Salo JA, Ilonen I, Knuuttila A, Haglund C, Arola J. Clinicopathological indicators of survival among patients with pulmonary carcinoid tumor. Acta Oncol 2018; 57:1109-1116. [PMID: 29463166 DOI: 10.1080/0284186x.2018.1441543] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Pulmonary carcinoids (PC) are rare malignant neoplasms that cover approximately 1% of all lung cancers. PCs are classified by histological criteria as either typical (TC) or atypical (AC). Histological subtype is the most studied prognostic factor. The aim of this study was to evaluate if other tissue or clinical features are associated with patient outcomes. MATERIAL AND METHODS We retrospectively reviewed clinical records of 133 PC patients who underwent operation in the Helsinki University Hospital between 1990 and 2013. Tissue specimens were re-evaluated, processed into tissue microarray format and stained immunohistochemically with serotonin, calcitonin, adrenocorticotropic hormone (ACTH), thyroid transcription factor-1 (TTF-1) and Ki-67. Survival and risk analyses were performed. RESULTS Based on histology, 75% (n = 100) of the tumors were TCs and 25% (n = 33) ACs. TCs had higher 10-year disease-specific survival (DSS) rate than ACs (99% (95% CI, 93-100%) for TCs vs. 82% (95% CI, 61-92%) for ACs). Hormonally active tumors expressing serotonin, calcitonin or ACTH were noted in 53% of the specimens but hormonal expression was not associated with DSS. TTF-1 was positive in 78% of the specimens but was not associated with DSS. Ki-67 index varied between <1% and 15%. Ki-67 ≥ 2.5% was associated with shorter DSS (p = .004). The presence of metastatic disease (p = .001), tumor size ≥30 mm (p = .021) and atypical histology (p = .011) were also associated with disease-specific mortality. CONCLUSIONS We conclude that PCs are uncommon tumors. When resected, the long-term survival is in general favorable. In this consecutive, single-institution cohort of patients, presence of metastatic disease, tumor size, histological subtype and Ki-67 index were associated with shorter disease-specific survival. As TC and AC have different clinical behaviors, the correct tumor classification at the time of diagnosis is a necessity.
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Affiliation(s)
- Tiina Vesterinen
- HUSLAB, Helsinki Biobank, Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanna Mononen
- Department of Thoracic Surgery, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Kaisa Salmenkivi
- HUSLAB, Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Harri Mustonen
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jari Räsänen
- Department of Thoracic Surgery, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Jarmo A. Salo
- Department of Thoracic Surgery, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Ilkka Ilonen
- Department of Thoracic Surgery, Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
| | - Aija Knuuttila
- Department of Pulmonary Medicine, Heart and Lung Center, and Cancer Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Caj Haglund
- Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Programs Unit, Translational Cancer Biology, University of Helsinki, Helsinki, Finland
| | - Johanna Arola
- HUSLAB, Helsinki Biobank, Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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de Vilhena AF, das Neves Pereira JC, Parra ER, Balancin ML, Ab Saber A, Martins V, Farhat C, Abrantes MM, de Campos JRM, Tedde ML, Takagaki T, Capelozzi VL. Histomorphometric evaluation of the Ki-67 proliferation rate and CD34 microvascular and D2-40 lymphovascular densities drives the pulmonary typical carcinoid outcome. Hum Pathol 2018; 81:201-210. [PMID: 30031097 DOI: 10.1016/j.humpath.2018.07.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Revised: 06/22/2018] [Accepted: 07/03/2018] [Indexed: 12/16/2022]
Abstract
Ki-67 has shown promise as a prognostic factor in pulmonary carcinoids. In this study, we sought to validate the importance of Ki-67 and study the relationships between Ki-67 and other stromal biomarkers of vascular density. We examined Ki-67, CD34, and D2-40 in tumor tissues from 128 patients with surgically excised typical carcinoid of the lung. We used immunohistochemistry and morphometry to evaluate the amount of tumor staining for cellular proliferation (Ki-67), microvascular density (CD34-MVD), and D2-40 lymphovascular density. The main outcome was overall survival, considered as life expectancy until death from metastasis. Specimens from patients with central tumors showed high CD34-MVD (P = .01), which was also significantly associated with a compromised surgical margin, lymph node metastasis, and clinical stage Ib. Equally significant was high D2-40 lymphovascular density in central specimens with a compromised surgical margin and lymph node metastasis. A high Ki-67 proliferation rate was significantly associated with tumors from patients with clinical stage IIb, IIIa, and IV disease. Multivariate Cox model analysis demonstrated that tumor location and stage, surgical margin, tumor size, and N stage were significantly related to survival time (P < .05). Quantitative staining of the tumor for Ki-67 and CD34-MVD served as prognostic factors (P < .05), which were more relevant than the surgical and pathological stage. Ki-67 greater than 5% and CD34-MVD greater than 7% staining comprise a subset of patients with higher death hazard; this outcome may harbor evidence for further prospective studies of target therapy after surgical resection.
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Affiliation(s)
| | | | - Edwin Roger Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Marcelo Luiz Balancin
- Laboratory of Genomic and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Alexandre Ab Saber
- Laboratory of Genomic and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Vanessa Martins
- Laboratory of Genomic and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | - Cecilia Farhat
- Laboratory of Genomic and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil
| | | | | | - Miguel Lia Tedde
- Department of Thoracic Surgery, Heart Institute (Incor), São Paulo 05403-000, Brazil
| | - Teresa Takagaki
- Division of Pneumology, Heart Institute (Incor), Faculty of Medicine, University of São Paulo, São Paulo 05403-000, Brazil
| | - Vera Luiza Capelozzi
- Laboratory of Genomic and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil.
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Kidd M, Modlin IM, Drozdov I, Aslanian H, Bodei L, Matar S, Chung KM. A liquid biopsy for bronchopulmonary/lung carcinoid diagnosis. Oncotarget 2017; 9:7182-7196. [PMID: 29467960 PMCID: PMC5805546 DOI: 10.18632/oncotarget.23820] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2017] [Accepted: 12/15/2017] [Indexed: 01/31/2023] Open
Abstract
No effective blood biomarker exists to detect and clinically manage bronchopulmonary (BP) neuroendocrine tumors (NET). We developed a blood-based 51 NET-specific transcript set for diagnosis and monitoring and evaluated clinical performance metrics. It accurately diagnosed the tumor and differentiated stable from progressive disease as determined by RECIST criteria. Gene expression was evaluated in: a) publicly available BPNET transcriptomes (GSE35679); b) two BPNET cell-lines; and c) BPNET tissue with paired blood (n = 7). Blood gene expression was assessed in 194 samples including controls, benign lung diseases, malignant lung diseases and small bowel NETs. A separate validation study in 25 age- and gender-matched BPNETs/controls was performed. Gene expression measured by real-time PCR was scored (0–100%; normal: < 14%). Regression analyses, Principal Component Analysis (PCA), hierarchical clustering, Fisher's and non-parametric evaluations were undertaken. All 51 genes were identified in BPNET transcriptomes, tumor samples and cell-lines. Significant correlations were evident between paired tumor and blood (R2:0.63–0.91, p < 0.001). PCA and hierarchical clustering identified blood gene expression was significantly different between lung cancers and benign diseases, including BPNETs. Gene expression was highly correlated (R2: 0.91, p = 1.7 × 10-15) between small bowel and BPNET. For validation, all 25 BPNETs were positive compared to 20% controls (p < 0.0001). Scores were significantly elevated (p < 0.0001) in BPNETs (57 ± 28%) compared to controls (4 ± 5%). BPNETs with progressive disease (85 ± 11%) exhibited higher scores than stable disease (32 ± 7%, p < 0.0001). Blood measurements accurately diagnosed bronchopulmonary carcinoids, distinguishing stable from progressive disease. This marker panel will have clinical utility as a diagnostic liquid biopsy able to define disease activity and progression in real-time.
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Affiliation(s)
- Mark Kidd
- Wren Laboratories, Brandford, CT, USA
| | | | | | | | - Lisa Bodei
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
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35
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Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology 2017; 72:142-152. [DOI: 10.1111/his.13394] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 09/01/2017] [Accepted: 09/05/2017] [Indexed: 12/22/2022]
Affiliation(s)
- Giulio Rossi
- Pathology Unit; Azienda USL Valle d'Aosta; Regional Hospital ‘Parini’; Aosta Italy
| | - Luca Bertero
- Department of Oncology; University of Turin and Pathology Unit; AOU Città della Salute e della Scienza; Torino Italy
| | - Caterina Marchiò
- Department of Medical Sciences; University of Turin and Pathology Unit; AOU Città della Salute e della Scienza; Torino Italy
| | - Mauro Papotti
- Department of Oncology; University of Turin and Pathology Unit; AOU Città della Salute e della Scienza; Torino Italy
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36
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Pelosi G, Sonzogni A, Harari S, Albini A, Bresaola E, Marchiò C, Massa F, Righi L, Gatti G, Papanikolaou N, Vijayvergia N, Calabrese F, Papotti M. Classification of pulmonary neuroendocrine tumors: new insights. Transl Lung Cancer Res 2017; 6:513-529. [PMID: 29114468 PMCID: PMC5653522 DOI: 10.21037/tlcr.2017.09.04] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/12/2017] [Indexed: 12/11/2022]
Abstract
Neuroendocrine tumors of the lung (Lu-NETs) embrace a heterogeneous family of neoplasms classified into four histological variants, namely typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC) and small cell lung carcinoma (SCLC). Defining criteria on resection specimens include mitotic count in 2 mm2 and the presence or absence of necrosis, alongside a constellation of cytological and histological traits including cell size and shape, nuclear features and overall architecture. Clinically, TC are low-grade malignant tumors, AC intermediate-grade malignant tumors and SCLC/LCNEC high-grade malignant full-blown carcinomas with no significant differences in survival between them. Homologous tumors arise in the thymus that occasionally have some difficulties in differentiating from the lung counterparts when presented with large unresectable or metastatic lesions. Immunohistochemistry (IHC) helps refine NE diagnosis at various anatomical sites, particularly on small-sized tissue material, in which only TC and small cell carcinoma categories can be recognized easily on hematoxylin & eosin stain, while AC and LCNEC can only be suggested on such material. The Ki-67 labeling index effectively separates carcinoids from small cell carcinoma and may prove useful for the clinical management of a metastatic disease to help the therapeutic decision-making process. Although carcinoids and high-grade neuroendocrine carcinomas in the lung and elsewhere make up separate tumor categories on molecular grounds, emerging data supports the concept of secondary high-grade NETs arising in the preexisting carcinoids, whose clinical and biological relevance will have to be placed into the proper context for the optimal management of these patients. In this review, we will discuss the selected, recent literature with a focus on current issues regarding Lu-NET nosology, i.e., classification, derivation and tumor evolution.
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Affiliation(s)
- Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Inter-hospital Pathology Division, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Angelica Sonzogni
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Sergio Harari
- Department of Medical Sciences and Division of Pneumology, San Giuseppe Hospital, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Adriana Albini
- Laboratory of Vascular Biology and Angiogenesis, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Enrica Bresaola
- Department of Pathology and Laboratory Medicine, European Institute of Oncology, Milan, Italy
| | - Caterina Marchiò
- Department of Medical Sciences, University of Turin, and Pathology Division, AOU Città della Salute e della Scienza, Turin, Italy
| | - Federica Massa
- Department of Oncology, University of Turin, and Pathology Division, AOU Città della Salute e della Scienza, Turin, Italy
| | - Luisella Righi
- Department of Oncology, University of Turin, Pathology Division, San Luigi Hospital, University of Turin, Turin, Italy
| | - Gaia Gatti
- Department of Oncology, University of Turin, Pathology Division, San Luigi Hospital, University of Turin, Turin, Italy
| | - Nikolaos Papanikolaou
- Inter-hospital Pathology Division, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Namrata Vijayvergia
- Department of Hematology and Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Fiorella Calabrese
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padova, Italy
| | - Mauro Papotti
- Department of Oncology, University of Turin, and Pathology Division, AOU Città della Salute e della Scienza, Turin, Italy
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Marchiò C, Gatti G, Massa F, Bertero L, Filosso P, Pelosi G, Cassoni P, Volante M, Papotti M. Distinctive pathological and clinical features of lung carcinoids with high proliferation index. Virchows Arch 2017. [PMID: 28631159 PMCID: PMC5711990 DOI: 10.1007/s00428-017-2177-0] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Typical (TCs) and atypical carcinoids (ACs) are defined based on morphological criteria, and no grading system is currently accepted to further stratify these entities. The 2015 WHO classification restricts the Ki-67 role to biopsy or cytology samples, rather than for prognostic prediction. We aimed to investigate whether values and patterns of Ki-67 alone would allow for a clinically meaningful stratification of lung carcinoids, regardless of histological typing. Ki-67 proliferation index and pattern (homogeneous versus heterogeneous expression) were assessed in a cohort of 171 TCs and 68 ACs. Cases were subdivided into three Ki-67 ranges (<4/4–9/≥10%). Correlations with clinicopathological data, univariate and multivariate survival analyses were performed. The majority of cases (61.5%) belonged to the <4% Ki-67 range; 25.1 and 13.4% had a proliferation index of 4–9% and ≥10%, respectively. The <4% Ki-67 subgroup was significantly enriched for TCs (83%, p < 0.0001); ACs were more frequent in the subgroup showing Ki-67 ≥ 10% (75%, p < 0.0001). A heterogeneous Ki-67 pattern was preferentially seen in carcinoids with a Ki-67 ≥10% (38%, p < 0.02). Mean Ki-67 values ≥4 and ≥10% identified categories of poor prognosis both in terms of disease-free and overall survival (p = 0.003 and <0.0001). At multivariate analysis, the two thresholds did not retain statistical significance; however, a Ki-67 ≥ 10% identified a subgroup of dismal prognosis even within ACs (p = 0.03) at univariate analysis. Here, we describe a subgroup of lung carcinoids showing brisk proliferation activity within the necrosis and/or mitotic count-based categories. These patients were associated with specific clinicopathological characteristics, to some extent regardless of histological subtyping.
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Affiliation(s)
- Caterina Marchiò
- Department of Medical Sciences, University of Turin, Via Giuseppe Verdi, 8, 10124, Turin, Italy.
- Pathology Division, AOU Città della Salute e della Scienza di Torino, Via Santena 7, 10126, Turin, Italy.
| | - Gaia Gatti
- Pathology Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Italy
| | - Federica Massa
- Pathology Division, AOU Città della Salute e della Scienza di Torino, Via Santena 7, 10126, Turin, Italy
| | - Luca Bertero
- Department of Medical Sciences, University of Turin, Via Giuseppe Verdi, 8, 10124, Turin, Italy
- Pathology Division, AOU Città della Salute e della Scienza di Torino, Via Santena 7, 10126, Turin, Italy
| | - Pierluigi Filosso
- Department of Surgical Sciences, University of Turin, Via Giuseppe Verdi, 8, 10124, Turin, Italy
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Via Festa del Perdono, 7, I-20122, Milan, Italy
- Inter-hospital Pathology Division, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Paola Cassoni
- Department of Medical Sciences, University of Turin, Via Giuseppe Verdi, 8, 10124, Turin, Italy
- Pathology Division, AOU Città della Salute e della Scienza di Torino, Via Santena 7, 10126, Turin, Italy
| | - Marco Volante
- Pathology Division, San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Italy
- Department of Oncology, University of Turin, Via Giuseppe Verdi, 8, 10124, Turin, Italy
| | - Mauro Papotti
- Pathology Division, AOU Città della Salute e della Scienza di Torino, Via Santena 7, 10126, Turin, Italy
- Department of Oncology, University of Turin, Via Giuseppe Verdi, 8, 10124, Turin, Italy
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Roncati L, Manenti A, Piscioli F, Pusiol T, Barbolini G. Immunoscoring the lymphocytic infiltration in carcinoid tumours. Histopathology 2017; 70:1175-1177. [PMID: 28116775 DOI: 10.1111/his.13168] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Luca Roncati
- Division of Pathology, Department of Diagnostic and Clinical Medicine and of Public Health, University of Modena and Reggio Emilia, Modena, Italy.,Provincial Health Care Services, Santa Maria del Carmine Hospital, Institute of Pathology, Rovereto, Italy
| | - Antonio Manenti
- Division of Surgery, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Francesco Piscioli
- Provincial Health Care Services, Santa Maria del Carmine Hospital, Institute of Pathology, Rovereto, Italy
| | - Teresa Pusiol
- Provincial Health Care Services, Santa Maria del Carmine Hospital, Institute of Pathology, Rovereto, Italy
| | - Giuseppe Barbolini
- Division of Pathology, Department of Diagnostic and Clinical Medicine and of Public Health, University of Modena and Reggio Emilia, Modena, Italy
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