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Buchalska B, Solnik M, Maciejewski K, Fudalej M, Deptała A, Badowska-Kozakiewicz A. Neuroendocrine Neoplasms of the Lungs, Thyroid, and Thymus. Biomedicines 2025; 13:1028. [PMID: 40426858 PMCID: PMC12109128 DOI: 10.3390/biomedicines13051028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2025] [Revised: 04/16/2025] [Accepted: 04/21/2025] [Indexed: 05/29/2025] Open
Abstract
Neuroendocrine neoplasms (NENs) comprise a group of tumours that can develop in various internal organs, but in this review, we will describe only those arising in the lungs, thyroid, and thymus. Pulmonary neuroendocrine neoplasms (pulmonary NENs) account for approximately 25% of all lung cancers. They are classified into four groups of tumours: typical carcinoids (TCs), atypical carcinoids (ACs), small cell lung carcinoma, and large cell lung carcinoma. This review focuses on TC and AC. The treatment consists mainly of radiotherapy, chemotherapy, and surgical resection, but novel drugs like atezolizumab are also utilised. The most common neuroendocrine neoplasm of the thyroid gland is medullary thyroid carcinoma (MTC), which commonly possesses RET protooncogene mutations. MTC is treated by a total thyroidectomy. Recently, tyrosine kinase inhibitors (TKIs) have emerged as an effective treatment option for patients with advanced MTC. Neuroendocrine tumours of the thymus (NETTs) are also being treated with a radical surgery.
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Affiliation(s)
- Barbara Buchalska
- Students’ Scientific Organization of Cancer Cell Biology, Department of Oncology Propaedeutics, Medical University of Warsaw, 01-445 Warsaw, Poland; (B.B.); (M.S.); (K.M.)
| | - Małgorzata Solnik
- Students’ Scientific Organization of Cancer Cell Biology, Department of Oncology Propaedeutics, Medical University of Warsaw, 01-445 Warsaw, Poland; (B.B.); (M.S.); (K.M.)
| | - Karol Maciejewski
- Students’ Scientific Organization of Cancer Cell Biology, Department of Oncology Propaedeutics, Medical University of Warsaw, 01-445 Warsaw, Poland; (B.B.); (M.S.); (K.M.)
| | - Marta Fudalej
- Department Oncology Propaedeutics, Medical University of Warsaw, 02-091 Warsaw, Poland; (M.F.); (A.D.)
| | - Andrzej Deptała
- Department Oncology Propaedeutics, Medical University of Warsaw, 02-091 Warsaw, Poland; (M.F.); (A.D.)
| | - Anna Badowska-Kozakiewicz
- Department Oncology Propaedeutics, Medical University of Warsaw, 02-091 Warsaw, Poland; (M.F.); (A.D.)
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Moonen L, Derks JL, den Bakker MA, Hillen LM, van Suylen RJ, von der Thüsen JH, Lap LMV, Marijnissen BJCA, Damhuis RA, Smits KM, van den Broek EC, Buikhuisen WA, Dingemans AMC, Speel EJM. OTP, CD44, and Ki-67: A Prognostic Marker Panel for Relapse-Free Survival in Patients with Surgically Resected Pulmonary Carcinoid. Mod Pathol 2025; 38:100677. [PMID: 39631518 DOI: 10.1016/j.modpat.2024.100677] [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: 01/16/2024] [Revised: 11/06/2024] [Accepted: 11/21/2024] [Indexed: 12/07/2024]
Abstract
Although most patients with pulmonary carcinoid (PC) can be cured by surgery, relapse may occur until 15 years after resection in up to 10% of patients. This is unpredictable at the outset, necessitating extensive follow-up (FU). We sought to determine whether an immunohistochemical marker panel (OTP, CD44, and Ki-67) could better indicate relapse-free survival (RFS) and increase uniformity among pathologists regarding carcinoid classification. To this purpose, all surgically resected PC (2003-2012) were identified in the Dutch cancer/pathology registry, and a matched relapse vs nonrelapse cohort (ratio 1:2, N = 161) was created. Cases were revised by 4 pathologists and additionally for immunohistochemistry (IHC) markers. The marker panel was applied to the complete population-based cohort (N = 536) to investigate the negative predictive value (NPV) of relapse. Median FU was 86.7 months. WHO classification among pathologists revealed poor overall agreement (mitotic count: 0.380, necrosis: 0.476) compared with IHC markers (Ki-67: 0.917, OTP: 0.984, CD44: 0.976). The mean NPV of all pathologists increased from 0.74 (World Health Organization, WHO) to 0.85 (IHC marker panel). IHC risk stratification of the complete cohort, regardless of subtype, showed a statistically significant difference in RFS between patients with high risk (n = 222) and low risk (n = 314), with an NPV of 95.9%. In conclusion, our results support the use of biomarker-driven FU management for patients with PC as the OTP/CD44/KI-67 marker panel can reliably predict which patients will probably not develop relapse over time and may benefit from a more limited postoperative follow-up. Furthermore, IHC marker assessment by pathologists for PC stratification is superior to traditional WHO typing.
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Affiliation(s)
- Laura Moonen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jules L Derks
- Department of Pulmonary Diseases, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Lisa M Hillen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Robert Jan van Suylen
- Department of Pathology, Pathologie-DNA, Location Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | - Jan H von der Thüsen
- Department of Pathology and Clinical Bioinformatics, Erasmus MC, Rotterdam, The Netherlands
| | - Lisa M V Lap
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Britney J C A Marijnissen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Ronald A Damhuis
- Department of Research, Comprehensive Cancer Association, Utrecht, The Netherlands
| | - Kim M Smits
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands
| | | | - Wieneke A Buikhuisen
- Department of Thoracic Oncology, Netherlands Cancer Institute Amsterdam, The Netherlands
| | - Anne-Marie C Dingemans
- Department of Pulmonary Diseases, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Pulmonology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | - Ernst Jan M Speel
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Pathology and Clinical Bioinformatics, Erasmus MC, Rotterdam, The Netherlands.
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Pelosi G, Travis WD. Head-to-head: Should Ki67 proliferation index be included in the formal classification of pulmonary neuroendocrine neoplasms? Histopathology 2024; 85:535-548. [PMID: 38728050 DOI: 10.1111/his.15206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/07/2024] [Accepted: 04/18/2024] [Indexed: 08/31/2024]
Abstract
The reporting of lung neuroendocrine neoplasms (NENs) according to the 2021 World Health Organisation (WHO) is based on mitotic count per 2 mm2, necrosis assessment and a constellation of cytological and immunohistochemical details. Accordingly, typical carcinoid and atypical carcinoid are low- to intermediate-grade neuroendocrine tumours (NETs), while large-cell neuroendocrine carcinoma (NEC) and small-cell lung carcinoma are high-grade NECs. In small-sized diagnostic material (cytology and biopsy), the noncommittal term of carcinoid tumour/NET not otherwise specified (NOS) and metastatic carcinoid NOS have been introduced with regard to primary and metastatic diagnostic settings, respectively. Ki-67 antigen, a well-known marker of cell proliferation, has been included in the WHO classification as a non-essential but desirable criterion, especially to distinguish NETs from high-grade NECs and to delineate the provisional category of carcinoid tumours/NETs with elevated mitotic counts (> 10 mitoses per mm2) and/or Ki-67 proliferation index (≥ 30%). However, a wider use of this marker in the spectrum of lung NENs continues to be highly reported and debated, thus witnessing a never-subsided attention. Therefore, the arguments for and against incorporating Ki-67 in the classification and clinical practice of these neoplasms are discussed herein in detail.
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Affiliation(s)
- Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Inter-Hospital Pathology Division, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - William D Travis
- Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York City, NY, USA
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Cheng Z, Yu F, Chen R, Cui L, Chen Y, Deng C, Shi Y, Tan H. Treatment, Prognostic Markers, and Survival in Thymic Neuroendocrine Tumors, with Special Reference to Temozolomide-Based Chemotherapy. Cancers (Basel) 2024; 16:2502. [PMID: 39061142 PMCID: PMC11275075 DOI: 10.3390/cancers16142502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 07/01/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Thymic neuroendocrine tumors (Th-NETs) are rare and aggressive, with a scarcity of research on predicting patient prognosis. Our study aimed to assess the impact of prognostic markers and temozolomide (TMZ)-based chemotherapy on survival in Th-NETs. METHODS We retrospectively reviewed the medical records of patients diagnosed with Th-NETs between 2013 and 2023 at our institution. We collected clinicopathological data, including tumor pathological grading, staging, serum concentrations of neuron-specific enolase (NSE) and pro-gastrin-releasing peptide, levels of inflammatory factors, and expression of oxygen 6-methylguanine-DNA methyltransferase (MGMT). Treatment details (such as surgery and chemotherapy) and survival outcomes were also documented. RESULTS A total of 32 patients were included in our study after excluding those without complete available information. The median progression-free survival (PFS) was 12.5 months (95%CI, 8-16 months) for 19 patients who received TMZ-based chemotherapy. Twenty-one patients underwent surgery as the primary treatment, demonstrating a median disease-free survival (DFS) of 51.0 months. The inflammatory factor neutrophil-to-lymphocyte ratio (NLR) was an independent prognostic indicator of DFS in postoperative patients and PFS in TMZ-treated patients. The overall 3-, 5-, and 10-year survival rates were 86.6%, 69.5%, and 33.8%, respectively. Ki67 level exceeding 10% (p = 0.048) and absence of surgical resection (p = 0.003) were significantly associated with worse overall survival (OS). CONCLUSION Surgical treatment was currently the primary method for treating Th-NETs, and postoperative adjuvant therapy was an essential consideration for specific patient cohorts. Despite widespread positive MGMT expression, TMZ-based chemotherapy showed promise. Some potential prognostic biomarkers such as NLR and NSE need more attention.
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Affiliation(s)
- Zixuan Cheng
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China; (Z.C.)
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Fuhuan Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China; (Z.C.)
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Ruao Chen
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China; (Z.C.)
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Lingjun Cui
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China; (Z.C.)
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yingying Chen
- Graduate School, Beijing University of Chinese Medicine, Beijing 100029, China; (Z.C.)
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Chao Deng
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yanfen Shi
- Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Huangying Tan
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
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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] [Grants] [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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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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7
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Liu F, Li Q, Xiang Z, Li X, Li F, Huang Y, Zeng Y, Lin H, Fang X, Yang Q. CT radiomics model for predicting the Ki-67 proliferation index of pure-solid non-small cell lung cancer: a multicenter study. Front Oncol 2023; 13:1175010. [PMID: 37706180 PMCID: PMC10497212 DOI: 10.3389/fonc.2023.1175010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/07/2023] [Indexed: 09/15/2023] Open
Abstract
Purpose This study aimed to explore the efficacy of the computed tomography (CT) radiomics model for predicting the Ki-67 proliferation index (PI) of pure-solid non-small cell lung cancer (NSCLC). Materials and methods This retrospective study included pure-solid NSCLC patients from five centers. The radiomics features were extracted from thin-slice, non-enhanced CT images of the chest. The minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) were used to reduce and select radiomics features. Logistic regression analysis was employed to build predictive models to determine Ki-67-high and Ki-67-low expression levels. Three prediction models were established: the clinical model, the radiomics model, and the nomogram model combining the radiomics signature and clinical features. The prediction efficiency of different models was evaluated using the area under the curve (AUC). Results A total of 211 NSCLC patients with pure-solid nodules or masses were included in the study (N=117 for the training cohort, N=49 for the internal validation cohort, and N=45 for the external validation cohort). The AUC values for the clinical models in the training, internal validation, and external validation cohorts were 0.73 (95% CI: 0.64-0.82), 0.75 (95% CI:0.62-0.89), and 0.72 (95% CI: 0.57-0.86), respectively. The radiomics models showed good predictive ability in diagnosing Ki-67 expression levels in the training cohort (AUC, 0.81 [95% CI: 0.73-0.89]), internal validation cohort (AUC, 0.81 [95% CI: 0.69-0.93]) and external validation cohort (AUC, 0.78 [95% CI: 0.64-0.91]). Compared to the clinical and radiomics models, the nomogram combining both radiomics signatures and clinical features had relatively better diagnostic performance in all three cohorts, with the AUC of 0.83 (95% CI: 0.76-0.90), 0.83 (95% CI: 0.71-0.94), and 0.81 (95% CI: 0.68-0.93), respectively. Conclusion The nomogram combining the radiomics signature and clinical features may be a potential non-invasive method for predicting Ki-67 expression levels in patients with pure-solid NSCLC.
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Affiliation(s)
- Fen Liu
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Qingcheng Li
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Zhiqiang Xiang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Xiaofang Li
- Department of Radiology, The Affiliated Huaihua Hospital, Hengyang Medical School, University of South China, Huaihua, China
| | - Fangting Li
- Department of Radiology, People’s Hospital of Zhengzhou, Zhengzhou, China
| | - Yingqiong Huang
- Department of Radiology, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Ye Zeng
- Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Huashan Lin
- Department of Pharmaceutical Diagnosis, GE Healthcare, Changsha, China
| | - Xiangjun Fang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Qinglai Yang
- Center for Molecular Imaging Probe, Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan, China
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8
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Pulmonary neuroendocrine tumors: study of 266 cases focusing on clinicopathological characteristics, immunophenotype, and prognosis. J Cancer Res Clin Oncol 2023; 149:1063-1077. [PMID: 35249158 PMCID: PMC9984511 DOI: 10.1007/s00432-022-03970-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/22/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Pulmonary neuroendocrine tumors (PNETs) consist of small-cell lung cancer (SCLC), large-cell neuroendocrine carcinoma (LCNEC), typical carcinoid (TC), and atypical carcinoid (AC). We aimed to analyze the immunophenotypic, metastatic, and prognostic risk factors for PNETs. MATERIALS AND METHODS A total of 266 patients with PNETs were enrolled, including 219 patients with SCLC, 18 patients with LCNEC, 11 patients with TC, and 18 patients with AC. Clinicopathological characteristics and immunophenotypes were compared among the subtypes of PNETs. Risk factors for metastasis, progression-free survival (PFS), and overall survival (OS) were analyzed. RESULTS Thyroid transcription factor-1 (TTF-1) and the Ki-67 index were significantly different among subtypes of PNETs (all P < 0.05). Smoking (OR, 2.633; P = 0.031), high pretreatment carcinoembryonic antigen (CEA > 5 ng/ml: OR, 3.084; P = 0.014), and poorly differentiated pathotypes (P = 0.001) were independent risk factors for lymph-node metastasis. Smoking (OR, 2.071; P = 0.027) and high pretreatment CEA (OR, 2.260; P = 0.007) were independent risk factors for distant metastasis. Results of the multivariate Cox regression model showed pretreatment CEA (HR, 1.674; P = 0.008) and lymphocyte-monocyte ratio (LMR) (HR = 0.478, P = 0.007) were significantly associated with PFS; BMI (P = 0.031), lymph-node metastasis (HR = 4.534, P = 0.001), poorly differentiated pathotypes (P = 0.015), platelet-lymphocyte ratio (PLR) (HR = 2.305, P = 0.004), and LMR (HR = 0.524, P = 0.045) were significantly associated with OS. CONCLUSIONS PNETs are a group of highly heterogeneous tumors with different clinical manifestations, pathological features, and prognoses. Knowing clinicopathological characteristics and immunophenotypes of PNETs is significant for diagnosis. Pretreatment PLR, LMR, and CEA have certain value in the prognosis of PNETs.
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9
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La Rosa S. Diagnostic, Prognostic, and Predictive Role of Ki67 Proliferative Index in Neuroendocrine and Endocrine Neoplasms: Past, Present, and Future. Endocr Pathol 2023; 34:79-97. [PMID: 36797453 PMCID: PMC10011307 DOI: 10.1007/s12022-023-09755-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/31/2023] [Indexed: 02/18/2023]
Abstract
The introduction of Ki67 immunohistochemistry in the work-up of neuroendocrine neoplasms (NENs) has opened a new approach for their diagnosis and prognostic evaluation. Since the first demonstration of the prognostic role of Ki67 proliferative index in pancreatic NENs in 1996, several studies have been performed to explore its prognostic, diagnostic, and predictive role in other neuroendocrine and endocrine neoplasms. A large amount of information is now available and published results globally indicate that Ki67 proliferative index is useful to this scope, although some differences exist in relation to tumor site and type. In gut and pancreatic NENs, the Ki67 proliferative index has a well-documented and accepted diagnostic and prognostic role and its evaluation is mandatory in their diagnostic work-up. In the lung, the Ki67 index is recommended for the diagnosis of NENs on biopsy specimens, but its diagnostic role in surgical specimens still remains to be officially accepted, although its prognostic role is now well documented. In other organs, such as the pituitary, parathyroid, thyroid (follicular cell-derived neoplasms), and adrenal medulla, the Ki67 index does not play a diagnostic role and its prognostic value still remains a controversial issue. In medullary thyroid carcinoma, the Ki67 labelling index is used to define the tumor grade together with other morphological parameters, while in the adrenal cortical carcinoma, it is useful to select patients to treated with mitotane therapy. In the present review, the most important information on the diagnostic, prognostic, and predictive role of Ki67 proliferative index is presented discussing the current knowledge. In addition, technical issues related to the evaluation of Ki67 proliferative index and the future perspectives of the application of Ki67 immunostaining in endocrine and neuroendocrine neoplasms is discussed.
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Affiliation(s)
- Stefano La Rosa
- Unit of Pathology, Department of Medicine and Surgery, University of Insubria, Via O. Rossi 9, Varese, 21100, Italy.
- Unit of Pathology, Department of Oncology, ASST Sette Laghi, Varese, Italy.
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10
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Li K, Liu Y, Han J, Gui J, Zhang X. The genetic alterations of rectal neuroendocrine tumor and indications for therapy and prognosis: a systematic review. Endocr J 2023; 70:197-205. [PMID: 36403965 DOI: 10.1507/endocrj.ej22-0262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Neuroendocrine tumors (NETs) are a type of rare tumor that can occur at multiple organs. Rectal NETs are the most common NETs in gastrointestinal tract. Due to the rarity of rectal NETs in rectal cancer, the molecular features and the correlation with patient therapeutic response and prognosis have not been investigated in detail. In this review, we focused on the molecular features, potential therapeutic targets and prognosis of rectal NETs. By summarizing the relevant studies, we established the mutational landscape of rectal NETs and identified a series of large fragment variations. Driver genes including TP53, APC, KRAS, BRAF, RB1, CDKN2A and PTEN were found as the top mutated genes. Large fragment alterations mainly involved known driver genes, including APC, TP53, CCNE1, MYC, TERT, RB1 and ATM. Germline mutations of APC, MUTYH, MSH6, MLH1 and MSH2 associated with Lynch syndrome or FAP were also found in rectal NETs. The BRAF-V600E mutation was reported as an actionable target in rectal NETs, and the combined BRAF/MEK inhibitors were found to be effective targeting BRAF-V600E in advanced or metastatic NETs. The known prognostic risk factors of rectal adenocarcinoma, including a series of demographic and clinicopathological factors were also prognostic factors for rectal NETs. Furthermore, three types of markers, including genetic alterations, protein expression levels and methylation, were also suggested as prognostic factors for rectal NETs. In summary, we established the landscape of mutations and large-fragment alterations of rectal NETs, and identified potential therapeutic targets and a series of prognostic factors. Future studies may focus on the optimization of therapeutic strategies based on potential actionable biomarkers.
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Affiliation(s)
- Ke Li
- Department of Endocrinology, Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing 101300, China
| | - Ying Liu
- Department of Endocrinology, Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing 101300, China
| | - Junge Han
- Department of Endocrinology, Fangshan Hospital Beijing University of Chinese Medicine, Beijing 102400, China
| | - Jianhua Gui
- Department of Endocrinology, Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing 101300, China
| | - Xiuyuan Zhang
- Department of Endocrinology, Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing 101300, China
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11
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Zhang Q, Yao B, Long X, Chen Z, He M, Wu Y, Qiao N, Ma Z, Ye Z, Zhang Y, Yao S, Wang Y, Cheng H, Chen H, Ye H, Wang Y, Li Y, Chen J, Zhang Z, Guo F, Zhao Y. Single-cell sequencing identifies differentiation-related markers for molecular classification and recurrence prediction of PitNET. Cell Rep Med 2023; 4:100934. [PMID: 36754052 PMCID: PMC9975294 DOI: 10.1016/j.xcrm.2023.100934] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/29/2022] [Accepted: 01/13/2023] [Indexed: 02/10/2023]
Abstract
Pituitary neuroendocrine tumor (PitNET) is one of the most common intracranial tumors with variable recurrence rate. Currently, the recurrence prediction is unsatisfying and can be improved by understanding the cellular origins and differentiation status. Here, to comprehensively reveal the origin of PitNET, we perform comparative analysis of single-cell RNA sequencing data from 3 anterior pituitary glands and 21 PitNETs. We identify distinct genes representing major subtypes of well and poorly differentiated PitNETs in each lineage. To further verify the predictive value of differentiation biomarkers, we include an independent cohort of 800 patients with an average follow-up of 7.2 years. In both PIT1 and TPIT lineages, poorly differentiated groups show significantly higher recurrence rates while well-differentiated groups show higher recurrence rates in SF1 lineage. Our findings reveal the possible origin and differentiation status of PitNET based on which new differentiation classification is proposed and verified to predict tumor recurrence.
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Affiliation(s)
- Qilin Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Boyuan Yao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Xin Long
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhengyuan Chen
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Min He
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
| | - Yue Wu
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Nidan Qiao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Zengyi Ma
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Zhao Ye
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Yichao Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Shun Yao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Ye Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Haixia Cheng
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Hong Chen
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Hongying Ye
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
| | - Yongfei Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Yimin Li
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianhua Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zhaoyun Zhang
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China.
| | - Fan Guo
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yao Zhao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
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12
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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: 16] [Impact Index Per Article: 8.0] [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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13
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Kasajima A, Klöppel G. Neuroendocrine tumor G3 of bronchopulmonary origin and its classification. Pathol Int 2022; 72:488-495. [PMID: 35983917 DOI: 10.1111/pin.13266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/28/2022] [Indexed: 11/30/2022]
Abstract
Neuroendocrine tumors (NET) with high proliferative activity (Ki-67 index >20% and/or mitotic counts >2 mm2 ) are defined as NET G3 in the 2019 World Health Organization (WHO) classification of digestive system neuroendocrine neoplasms (NENs). NETs G3 occur mostly in the pancreas, colon, rectum, and stomach and only rarely in the small intestine and the appendix. In the bronchopulmonary system, similar tumors have also been recognized and were mostly classified as atypical carcinoid (AC) or large cell neuroendocrine carcinoma. Bronchopulmonary NENs that were classified as NETs G3 are characterized by histological and immunohistochemical similarities with carcinoids/NETs, and a clinical course that is more aggressive than with ACs and similar to that of neuroendocrine carcinomas. The morphomolecular and clinical features of bronchopulmonary neoplasms with a high proliferative activity were reviewed and a future classification system that is applicable for both digestive and bronchopulmonary NETs is proposed.
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Affiliation(s)
- Atsuko Kasajima
- Department of Pathology, Technical University Munich, Munich, Germany
| | - Günter Klöppel
- Department of Pathology, Technical University Munich, Munich, Germany
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14
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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: 5] [Impact Index Per Article: 1.7] [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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15
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Clinicopathological, Oncogenic, and 18F-FDG PET/CT Features of Primary Pulmonary Carcinoid in Resection Specimens. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:1926797. [PMID: 35821888 PMCID: PMC9217550 DOI: 10.1155/2022/1926797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 11/28/2022]
Abstract
Objectives The metabolic parameters which included mean standardised uptake value (SUVmean), metabolic tumour volume (MTV), total lesion glycolysis (TLG), maximum standardised uptake lean body mass (SULmax), and maximum standardised uptake body surface area (SUVbsa) have rarely been investigated in pulmonary carcinoid (PC). This study aimed to retrospectively compare the 18F-FDG PET/CT features of PC subtypes and observe clinicopathological and oncogenic characteristics of PC. Methods We performed a retrospective review in 60 patients with PC, from January 2016 to November 2021, who underwent the 18F-FDG PET/CT scan. All the PC diagnoses were histopathologic confirmed by surgical samples. The metabolic and morphological features were obtained from 18F-FDG PET/CT images. The ratio of metabolic to morphological lesion volumes (MMVR) was calculated. Results Sixty patients with PC were consecutively identified, including 39 patients (65.0%) with typical carcinoids (TCs) and 21 (35.0%) with atypical carcinoids (ACs). One (1/21) patient had mutation in BRAF. The ACs have a larger size (P < 0.001), more metastatic lymph nodes (P = 0.011), higher Ki-67 expression (P < 0.001), higher SUVmax values (P = 0.003), higher SUVmean values (P = 0.006), higher SULmax values (P = 0.005), higher SUVbsa values (P = 0.001), higher MTV values (P = 0.033), and higher TLG values (P = 0.002). The multivariate analysis showed that MMVR (P = 0.020) was significantly associated with AC. For predicting AC, the optimal cut-off value of SUVmax, SUVmean, SULmax, SUVbsa, MTV, TLG, and the maximum diameter was 5.19, 3.18, 2.65, 1.47, 4.36, 18.44, and 3.0, respectively. The AUC values of above mentioned parameters was 0.756 (95%CI, 0.631–881; P = 0.001), 0.735 (95%CI, 0.602–868; P = 0.003), 0.736 (95%CI, 0.607–865; P = 0.003), 0.742 (95%CI, 0.612–873; P = 0.002), 0.593 (95%CI, 0.430–755; P = 0.239), 0.680 (95%CI, 0.531–829; P = 0.022), and 0.733 (95%CI, 0.598–868; P = 0.003), respectively. For predicting TC, the optimal cut-off value of the MMVR was 0.92, and the AUC value was 0.780 (95%CI, 0.647–0.913; P < 0.001). Conclusion 18F-FDG PET/CT can simultaneously reveal the metabolic and morphological characteristics of PC, which is important in the differentiation for histopathologic subtypes.
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16
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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, and 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: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [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 to 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 achieve a global Classification encompassing NENs arising at different anatomical sites. The aim of this review was 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
- Unit of Pathology, AUSL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Andrea Palicelli
- Unit of Pathology, AUSL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Alberto Cavazza
- Unit of Pathology, AUSL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Loredana DE Marco
- Unit of Pathology, AUSL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Maurizio Zizzo
- Unit of Surgical Oncology, AUSL-IRCCS of Reggio Emilia, Reggio Emilia, Italy
| | - Stefano Ascani
- Unit of Pathology, Santa Maria di Terni Hospital, University of Perugia, Terni, Italy
| | - Matteo Landriscina
- Unit of Medical Oncology and Biomolecular Therapy, Department of Medical and Surgical Sciences, Riuniti Polyclinic, University of Foggia, Foggia, Italy
- Laboratory of Preclinical 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, Riuniti Polyclinic, University of Foggia, Foggia, Italy
| | | | - Domenico Loizzi
- Institute of Thoracic Surgery, University of Foggia, Foggia, Italy
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17
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Naheed S, Holden C, Tanno L, Pattini L, Pearce NW, Green B, Jaynes E, Cave J, Ottensmeier CH, Pelosi G. Utility of KI-67 as a prognostic biomarker in pulmonary neuroendocrine neoplasms: a systematic review and meta-analysis. BMJ Open 2022; 12:e041961. [PMID: 35241462 PMCID: PMC8895948 DOI: 10.1136/bmjopen-2020-041961] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES Ki-67, a marker of cellular proliferation, is associated with prognosis across a wide range of tumours, including gastroenteropancreatic neuroendocrine neoplasms (NENs), lymphoma, urothelial tumours and breast carcinomas. Its omission from the classification system of pulmonary NENs is controversial. This systematic review sought to assess whether Ki-67 is a prognostic biomarker in lung NENs and, if feasible, proceed to a meta-analysis. RESEARCH DESIGN AND METHODS Medline (Ovid), Embase, Scopus and the Cochrane library were searched for studies published prior to 28 February 2019 and investigating the role of Ki-67 in lung NENs. Eligible studies were those that included more than 20 patients and provided details of survival outcomes, namely, HRs with CIs according to Ki-67 percentage. Studies not available as a full text or without an English manuscript were excluded. This study was prospectively registered with PROSPERO. RESULTS Of 11 814 records identified, seven studies met the inclusion criteria. These retrospective studies provided data for 1268 patients (693 TC, 281 AC, 94 large cell neuroendocrine carcinomas and 190 small cell lung carcinomas) and a meta-analysis was carried out to estimate a pooled effect. Random effects analyses demonstrated an association between a high Ki-67 index and poorer overall survival (HR of 2.02, 95% CI 1.16 to 3.52) and recurrence-free survival (HR 1.42; 95% CI 1.01 to 2.00). CONCLUSION This meta-analysis provides evidence that high Ki-67 labelling indices are associated with poor clinical outcomes for patients diagnosed with pulmonary NENs. This study is subject to inherent limitations, but it does provide valuable insights regarding the use of the biomarker Ki-67, in a rare tumour. PROSPERO REGISTRATION NUMBER CRD42018093389.
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Affiliation(s)
- Salma Naheed
- Liverpool Head and Neck Centre, Department of Molecular & Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Chloe Holden
- Department of Oncology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lulu Tanno
- Cancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton Faculty of Medicine, Southampton, UK
| | - Linda Pattini
- Department of Electronics, Information and Bioengineering, Polytechnic of Milan, Milano, Lombardia, Italy
| | - Neil W Pearce
- Department of Surgery, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Bryan Green
- Department of Pathology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Eleanor Jaynes
- Department of Cellular Pathology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Judith Cave
- Department of Oncology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Christian H Ottensmeier
- Cancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton, Southampton, UK
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milano, Lombardia, Italy
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18
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Pelosi G. Labeling Lung Neuroendocrine Neoplasms for Ki-67 Antigen to Score a Bull's-Eye, Not Shoot in the Dark. J Thorac Oncol 2022; 17:e41-e44. [PMID: 35216741 DOI: 10.1016/j.jtho.2021.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 10/29/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Inter-Hospital Pathology Division, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy.
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19
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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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20
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Yan J, Xue X, Gao C, Guo Y, Wu L, Zhou C, Chen F, Xu M. Predicting the Ki-67 proliferation index in pulmonary adenocarcinoma patients presenting with subsolid nodules: construction of a nomogram based on CT images. Quant Imaging Med Surg 2022; 12:642-652. [PMID: 34993108 DOI: 10.21037/qims-20-1385] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 07/29/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND The Ki-67 proliferation index (PI) reflects the proliferation of cells. However, the conventional methods for the acquisition of the Ki-67 PI, such as surgery and biopsy, are generally invasive. This study investigated a potential noninvasive method of predicting the Ki-67 PI in patients with lung adenocarcinoma presenting with subsolid nodules. METHODS This retrospective study enrolled 153 patients who presented with pulmonary adenocarcinoma appearing as subsolid nodules (SSNs) on computed tomography (CT) images between January 2015 and December 2018. Presence of LUAD with SSNs was confirmed by histopathology. Of these participants, 107 patients were from institution 1 and were divided into a training cohort and an internal validation cohort in a 7:3 ratio. The other 46 patients were from institution 2 and were enrolled as an external validation cohort. All patients underwent conventional CT scans with thin-slice (≤1.25 mm) reconstruction, and 1,316 quantitative radiomic features were extracted from the CT images for each nodule. The minimum redundancy maximum relevance and the least absolute shrinkage and selection operator were used for feature selection, and the radiomics signature was constructed based on these selected features. Clinical features were examined using univariate logistic regression analysis. The nomogram was developed based on the radiomics signature and the independent clinical risk factors. The Delong test and t test were employed for statistical analysis. The performance of different models was assessed by the receiver operating characteristic (ROC) curve. RESULTS The diameter of the nodules [odds ratio (OR) =1.17; P=0.003] was identified as an independent predictive parameter. Both the radiomics signature and the nomogram suggested a good predictive probability for Ki-67 expression. For the radiomics signature, the area under the ROC curve (AUC) for the training cohort, the internal validation cohort, and the external validation cohort was 0.86 [95% confidence interval (CI): 0.77 to 0.95], 0.81 (95% CI: 0.64 to 0.98), and 0.77 (95% CI: 0.62 to 0.91), respectively. For the nomogram, the AUC for the training cohort, the internal validation cohort, and the external validation cohort was 0.86 (95% CI: 0.77 to 0.95), 0.80 (95% CI: 0.64 to 0.97), and 0.79 (95% CI: 0.65 to 0.94), respectively. There were no statistical differences in the AUCs between the radiomics signature and the radiomic nomogram in the training cohort or the validation cohorts (all P>0.05). CONCLUSIONS The nomogram provides a novel strategy for determining the Ki-67 PI in predicting the proliferation of subsolid nodules, which may be beneficial for the management of patients with SSNs.
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Affiliation(s)
- Jing Yan
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Xing Xue
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chen Gao
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Yifan Guo
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Linyu Wu
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Changyu Zhou
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Feng Chen
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Maosheng Xu
- The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China.,Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
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21
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Rekhtman N. Lung neuroendocrine neoplasms: recent progress and persistent challenges. Mod Pathol 2022; 35:36-50. [PMID: 34663914 PMCID: PMC8695375 DOI: 10.1038/s41379-021-00943-2] [Citation(s) in RCA: 115] [Impact Index Per Article: 38.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/28/2021] [Accepted: 09/28/2021] [Indexed: 02/07/2023]
Abstract
This review summarizes key recent developments relevant to the pathologic diagnosis of lung neuroendocrine neoplasms, including carcinoids, small cell lung carcinoma (SCLC), and large cell neuroendocrine carcinoma (LCNEC). Covered are recent insights into the biological subtypes within each main tumor type, progress in pathological diagnosis and immunohistochemical markers, and persistent challenging areas. Highlighted topics include highly proliferative carcinoids and their distinction from small cell and large cell neuroendocrine carcinomas (NECs), the evolving role of Ki67, the update on the differential diagnosis of NEC to include thoracic SMARCA4-deficient undifferentiated tumors, the recent data on SCLC transcriptional subtypes with the emergence of POU2F3 as a novel marker for the diagnosis of SCLC with low/negative expression of standard neuroendocrine markers, and the update on the diagnosis of LCNEC, particularly in biopsies. There has been remarkable recent progress in the understanding of the genetic and expression-based profiles within each type of lung neuroendocrine neoplasm, and it is hoped that these insights will enable the development of novel diagnostic, prognostic, and predictive biomarkers to aid in the pathologic assessment of these tumors in the future.
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Affiliation(s)
- Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
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22
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Bulloni M, Pattini L, Pelosi G. Intratumor Distribution of Ki-67 Antigen Beyond Labeling Index for Clinical Decision-Making: A New Way of Counting. JTO Clin Res Rep 2021; 2:100207. [PMID: 34734194 PMCID: PMC8486920 DOI: 10.1016/j.jtocrr.2021.100207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Matteo Bulloni
- Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Linda Pattini
- Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.,Inter-Hospital Pathology Division, IRCCS MultiMedica, Milan, Italy
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23
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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: 12] [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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24
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Abstract
Neuroendocrine neoplasms (NENs) are a heterogeneous group of neoplastic proliferations showing different morphological features, immunophenotype, molecular background, clinical presentation, and outcome. They can virtually originate in every organ of the human body and their classification is not uniform among different sites. Indeed, as they have historically been classified according to the organ in which they primarily arise, the different nomenclature that has resulted have created some confusion among pathologists and clinicians. Although a uniform terminology to classify neuroendocrine neoplasms arising in different systems has recently been proposed by WHO/IARC, some issues remain unsolved or need to be clarified. In this review, we discuss the lights and shadows of the current WHO classifications used to define and characterize NENs of the pituitary gland, lung, breast and those of the head and neck region, and digestive and urogenital systems.
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Affiliation(s)
- Stefano La Rosa
- Institute of Pathology, University Hospital and University of Lausanne, Lausanne, Switzerland.
- Institut Universitaire de Pathologie, CHUV, 25 rue du Bugnon, CH-1011, Lausanne, Switzerland.
| | - Silvia Uccella
- Unit of Pathology, Department of Medicine and Surgery, University of Insubria, Varese, Italy
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25
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Shah MH, Goldner WS, Benson AB, Bergsland E, Blaszkowsky LS, Brock P, Chan J, Das S, Dickson PV, Fanta P, Giordano T, Halfdanarson TR, Halperin D, He J, Heaney A, Heslin MJ, Kandeel F, Kardan A, Khan SA, Kuvshinoff BW, Lieu C, Miller K, Pillarisetty VG, Reidy D, Salgado SA, Shaheen S, Soares HP, Soulen MC, Strosberg JR, Sussman CR, Trikalinos NA, Uboha NA, Vijayvergia N, Wong T, Lynn B, Hochstetler C. Neuroendocrine and Adrenal Tumors, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 2021; 19:839-868. [PMID: 34340212 DOI: 10.6004/jnccn.2021.0032] [Citation(s) in RCA: 319] [Impact Index Per Article: 79.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Neuroendocrine and Adrenal Gland Tumors focus on the diagnosis, treatment, and management of patients with neuroendocrine tumors (NETs), adrenal tumors, pheochromocytomas, paragangliomas, and multiple endocrine neoplasia. NETs are generally subclassified by site of origin, stage, and histologic characteristics. Appropriate diagnosis and treatment of NETs often involves collaboration between specialists in multiple disciplines, using specific biochemical, radiologic, and surgical methods. Specialists include pathologists, endocrinologists, radiologists (including nuclear medicine specialists), and medical, radiation, and surgical oncologists. These guidelines discuss the diagnosis and management of both sporadic and hereditary neuroendocrine and adrenal tumors and are intended to assist with clinical decision-making. This article is focused on the 2021 NCCN Guidelines principles of genetic risk assessment and counseling and recommendations for well-differentiated grade 3 NETs, poorly differentiated neuroendocrine carcinomas, adrenal tumors, pheochromocytomas, and paragangliomas.
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Affiliation(s)
- Manisha H Shah
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | | | - Al B Benson
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
| | | | | | - Pamela Brock
- The Ohio State University Comprehensive Cancer Center - James Cancer Hospital and Solove Research Institute
| | | | | | - Paxton V Dickson
- St. Jude Children's Research Hospital/The University of Tennessee Health Science Center
| | | | | | | | | | - Jin He
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins
| | | | | | | | - Arash Kardan
- Case Comprehensive Cancer Center/University Hospitals Seidman Cancer Center and Cleveland Clinic Taussig Cancer Institute
| | | | | | | | | | | | | | | | | | | | | | | | | | - Nikolaos A Trikalinos
- Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine
| | | | | | | | - Beth Lynn
- National Comprehensive Cancer Network
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26
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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: 34] [Impact Index Per Article: 8.5] [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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27
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La Rosa S. Challenges in High-grade Neuroendocrine Neoplasms and Mixed Neuroendocrine/Non-neuroendocrine Neoplasms. Endocr Pathol 2021; 32:245-257. [PMID: 33786701 PMCID: PMC8116295 DOI: 10.1007/s12022-021-09676-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 12/13/2022]
Abstract
The growth in knowledge of the pathogenesis, molecular background, and immunohistochemical profile of neuroendocrine neoplasms (NENs) has led not only to an increased awareness of these diseases but also to several changes of the nomenclature. In particular, the concept and terminology of high-grade (grade 3) NENs and mixed neoplasms have changed considerably over the last 20 years, creating some confusion among pathologists and clinicians. The aim of this review is to elucidate the diagnostic criteria, including the most important differential diagnoses of high-grade NENs and mixed neuroendocrine/non-neuroendocrine neoplasms (MiNENs). The role of the Ki67 labelling index and morphology, used to define grade 3 NENs of the digestive system and lungs, is also discussed. The evolution of the concepts and terminology of MiNENs is revised, including the most important differential diagnoses.
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Affiliation(s)
- Stefano La Rosa
- Institute of Pathology, University Hospital and University of Lausanne, Lausanne, Switzerland.
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28
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Metovic J, Bianchi F, Rossi G, Barella M, Sonzogni A, Harari S, Papotti M, Pelosi G. Recent advances and current controversies in lung neuroendocrine neoplasms ✰. Semin Diagn Pathol 2021; 38:90-97. [PMID: 33810912 DOI: 10.1053/j.semdp.2021.03.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 03/03/2021] [Accepted: 03/08/2021] [Indexed: 11/11/2022]
Abstract
In the lung, neuroendocrine tumors (NETs), namely typical and atypical carcinoids, and neuroendocrine carcinomas (NECs), grouping small cell carcinoma (SCLC) and large cell neuroendocrine carcinoma (LCNEC), make up for distinct tumor entities according to epidemiological, genetic, pathologic and clinical data. The proper classification is essential in clinical practice for diagnosis, prognosis and therapy purposes. Through an extensive literature survey, three perspectives on lung NENs have been revised: i) criteria and terminology on biopsy or cytology samples of primaries or metastases; ii) carcinoids with elevated mitotic counts and/or Ki-67 proliferation rates; iii) relevance of molecular landscape to identify new tumor entities and therapeutic targets. Furthermore, a dispute about lung NEN development has been raised according to emerging molecular models. We herein provide a pathology update on practical topics in the setting of lung NENs according to the current classification (recent advances). We have also reappraised the development of these tumors by modeling risk factors and natural history of disease (recent controversies). Combining recent advances and controversies may help clarify our biological understanding of lung NENs and give practical information for the clinical decision-making process.
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Affiliation(s)
- Jasna Metovic
- Department of Oncology, University of Turin, Turin, Italy
| | - Fabrizio Bianchi
- Cancer Biomarker Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Giulio Rossi
- Operative Unit of Pathologic Anatomy, Azienda USL Romagna, Hospital Santa Maria delle Croci, Ravenna, Italy
| | - Marco Barella
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Angelica Sonzogni
- Department of Pathology and Laboratory Medicine, IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Sergio Harari
- Department of Medical Sciences and Community Health, University of Milan, Milan, Italy; Division of Pneumology, San Giuseppe Hospital, IRCCS MultiMedica, Milan, Italy
| | - Mauro Papotti
- Department of Oncology, University of Turin, Turin, Italy
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Inter-Hospital Pathology Division, IRCCS MultiMedica, Milan, Italy.
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29
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Volante M, Mete O, Pelosi G, Roden AC, Speel EJM, Uccella S. Molecular Pathology of Well-Differentiated Pulmonary and Thymic Neuroendocrine Tumors: What Do Pathologists Need to Know? Endocr Pathol 2021; 32:154-168. [PMID: 33641055 PMCID: PMC7960615 DOI: 10.1007/s12022-021-09668-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/21/2021] [Indexed: 02/08/2023]
Abstract
Thoracic (pulmonary and thymic) neuroendocrine tumors are well-differentiated epithelial neuroendocrine neoplasms that are classified into typical and atypical carcinoid tumors based on mitotic index cut offs and presence or absence of necrosis. This classification scheme is of great prognostic value but designed for surgical specimens, only. Deep molecular characterization of thoracic neuroendocrine tumors highlighted their difference with neuroendocrine carcinomas. Neuroendocrine tumors of the lung are characterized by a low mutational burden, and a high prevalence of mutations in chromatin remodeling and histone modification-related genes, whereas mutations in genes frequently altered in neuroendocrine carcinomas are rare. Molecular profiling divided thymic neuroendocrine tumors into three clusters with distinct clinical outcomes and characterized by a different average of copy number instability. Moreover, integrated histopathological, molecular and clinical evidence supports the existence of a grey zone category between neuroendocrine tumors (carcinoid tumors) and neuroendocrine carcinomas. Indeed, cases with well differentiated morphology but mitotic/Ki-67 indexes close to neuroendocrine carcinomas have been increasingly recognized. These are characterized by specific molecular profiles and have an aggressive clinical behavior. Finally, thoracic neuroendocrine tumors may arise in the background of genetic susceptibility, being MEN1 syndrome the well-defined familial form. However, pathologists should be aware of rarer germline variants that are associated with the concurrence of neuroendocrine tumors of the lung or their precursors (such as DIPNECH) with other neoplasms, including but not limited to breast carcinomas. Therefore, genetic counseling for all young patients with thoracic neuroendocrine neoplasia and/or any patient with pathological evidence of neuroendocrine cell hyperplasia-to-neoplasia progression sequence or multifocal disease should be considered.
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Affiliation(s)
- Marco Volante
- Department of Oncology, University of Turin, Turin, Italy.
| | - Ozgur Mete
- Departments of Pathology, University Healthy Network and University of Toronto, Toronto, Canada
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Anja C Roden
- Department of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, MN, USA
| | - Ernst Jan M Speel
- Department of Pathology, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Silvia Uccella
- Dept. of Medicine and Surgery, University of Insubria, Varese, Italy
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30
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Manem VS, Sazonova O, Gagné A, Orain M, Khoshkrood-Mansoori B, Gaudreault N, Bossé Y, Joubert P. Unravelling actionable biology using transcriptomic data to integrate mitotic index and Ki-67 in the management of lung neuroendocrine tumors. Oncotarget 2021; 12:209-220. [PMID: 33613848 PMCID: PMC7869577 DOI: 10.18632/oncotarget.27874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 01/19/2021] [Indexed: 11/25/2022] Open
Abstract
Pulmonary neuroendocrine tumors (NETs) are a heterogeneous family of malignancies whose classification relies on morphology and mitotic rate, unlike extrapulmonary neuroendocrine tumors that require both mitotic rate and Ki-67. As mitotic count is proportional to Ki-67, it is crucial to understand if Ki-67 can complement the existing diagnostic guidelines, as well as discover the benefit of these two markers to unravel the biological heterogeneity. In this study, we investigated the association of mitotic rate and Ki-67 at gene- and pathway-level using transcriptomic data in lung NET malignancies. Lung resection tumor specimens obtained from 28 patients diagnosed with NETs were selected. Mitotic rate, Ki-67 and transcriptomic data were obtained for all samples. The concordance between mitotic rate and Ki-67 was evaluated at gene-level and pathway-level using gene expression data. Our analysis revealed a strong association between mitotic rate and Ki-67 across all samples and cell cycle genes were found to be differentially ranked between them. Pathway analysis indicated that a greater number of pathways overlapped between these markers. Analyses based on lung NET subtypes revealed that mitotic rate in carcinoids and Ki-67 in large cell neuroendocrine carcinomas provided comprehensive characterization of pathways among these malignancies. Among the two subtypes, we found distinct leading-edge gene sets that drive the enrichment signal of commonly enriched pathways between mitotic index and Ki-67. Overall, our findings delineated the degree of benefit of the two proliferation markers, and offers new layer to predict the biological behavior and identify high-risk patients using a more comprehensive diagnostic workup.
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Affiliation(s)
- Venkata S.K. Manem
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Olga Sazonova
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Andréanne Gagné
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Michèle Orain
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | | | - Nathalie Gaudreault
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
| | - Yohan Bossé
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
- Department of Molecular Medicine, Laval University, Quebec City, QC G1V4G5, Canada
| | - Philippe Joubert
- Quebec Heart and Lung Institute Research Center, Quebec City, QC G1V4G5, Canada
- Department of Medical Biochemistry, Molecular Biology and Pathology, Laval University, Quebec City, QC G1V4G5, Canada
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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: 26] [Impact Index Per Article: 6.5] [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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Mirvis E, Toumpanakis C, Mandair D, Gnanasegaran G, Caplin M, Navalkissoor S. Efficacy and tolerability of peptide receptor radionuclide therapy (PRRT) in advanced metastatic bronchial neuroendocrine tumours (NETs). Lung Cancer 2020; 150:70-75. [DOI: 10.1016/j.lungcan.2020.10.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/06/2020] [Accepted: 10/09/2020] [Indexed: 12/31/2022]
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Dong S, Liang J, Zhai W, Yu Z. Development and Validation of an Individualized Nomogram for Predicting Overall Survival in Patients With Typical Lung Carcinoid Tumors. Am J Clin Oncol 2020; 43:607-614. [PMID: 32889829 PMCID: PMC7515482 DOI: 10.1097/coc.0000000000000715] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE We aim to develop and validate an effective nomogram prognostic model for patients with typical lung carcinoid tumors using a large patient cohort from the Surveillance, Epidemiology, and End Results (SEER) database. MATERIALS AND METHODS Data from patients with typical lung carcinoid tumors between 2010 and 2015 were selected from the SEER database for retrospective analysis. Univariate and multivariate Cox analysis was performed to clarify independent prognostic factors. Next, a nomogram was formulated to predict the probability of 3- and 5-year overall survival (OS). Concordance indexes (c-index), receiver operating characteristic analysis and calibration curves were used to evaluate the model. RESULTS The selected patients were randomly divided into a training and a validation cohort. A nomogram was established based on the training cohort. Cox analysis results indicated that age, sex, T stage, N stage, surgery, and bone metastasis were independent variables for OS. All these factors, except surgery, were included in the nomogram model for predicting 3- and 5-year OS. The internally and externally validated c-indexes were 0.787 and 0.817, respectively. For the 3-year survival prediction, receiver operating characteristic analysis showed that the areas under the curve in the training and validation cohorts were 0.824 and 0.795, respectively. For the 5-year survival prediction, the area under the curve in the training and validation cohorts were 0.812 and 0.787, respectively. The calibration plots for probability of survival were in good agreement. CONCLUSION The nomogram brings us closer to personalized medicine and the maximization of predictive accuracy in the prediction of OS in patients with typical lung carcinoid tumors.
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Affiliation(s)
- Shenghua Dong
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province
| | - Jun Liang
- Department of Oncology, Peking University International Hospital, Beijing, China
| | - Wenxin Zhai
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province
| | - Zhuang Yu
- Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province
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Marchevsky AM, Diniz MA, Manzoor D, Walts AE. Prognosis in pathology: Are we "prognosticating" or only establishing correlations between independent variables and survival? A study with various analytics cautions about the overinterpretation of statistical results. Ann Diagn Pathol 2020; 46:151525. [PMID: 32353712 DOI: 10.1016/j.anndiagpath.2020.151525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 04/16/2020] [Indexed: 01/27/2023]
Abstract
Survival data from 225 patients with resected pulmonary typical carcinoids were analyzed with Kaplan-Meier statistics (K-M) and "deep learning" methods to illustrate the difference between establishing "correlations" and "prognostications". Cases were stratified into G1 and G2 classes using a ≤5% Ki-67% cut-point. Overall survival, number of patients at risk and 95% confidence intervals (CI) were estimated for the two classes. Seven neural network models (NN) were developed with GMDH Shell 3.8.2 and Statgraphics Centurion 18.1 software, using variable prior probabilities and different numbers of training vs testing cases. The NNs used age, sex, and pTNM, G1 and G2 as input neurons and "alive" and "dead" as output neurons. Areas under the curve (AUC) and other performance measures were evaluated for all models. Log-rank test showed a significant difference in overall survival between G1 and G2 (p < 0.001). However, 95% CI estimates showed considerable variability in survival at different time intervals. Including the number of patients at risk at different time intervals showed that most G2 patients had been censored by 100 weeks. The NN models provided variable "prognostications", with AUC ranging from 0.5 to 1 and variability in the sensitivity, specificity, and other performance measures. The results illustrate the limitations of survival statistics and NNs in predicting the prognosis of individual patients. The need for pathologists not to overinterpret the finding of significant correlations as "prognostic" or "predictive" for individual patients is discussed.
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Affiliation(s)
- Alberto M Marchevsky
- Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America.
| | - Marcio A Diniz
- Biostatistics and Bioinformatics Research Center, Samuel Oschin Comprehensive Cancer Institute, Los Angeles, CA, United States of America
| | - Daniel Manzoor
- Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
| | - Ann E Walts
- Department of Pathology & Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America
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Moran CA, Lindholm KE, Brunnström H, Langman G, Jang SJ, Spagnolo D, Chai SM, Laycock A, Falconieri G, Pizzolitto S, de Pellegrin A, Medeiros F, Edmunds L, Catarino A, Cunha F, Ro J, Pina-Oviedo S, Torrealba J, Coppola D, Petersson F, Oon ML, Elmberger G, Y Cajal SR, Valero IS, Dalurzo L, Soares F, Campos AH, Vranic S, Skenderi F, Correa AM, Sepesi B, Rice D, Mehran R, Walsh G. Typical and atypical carcinoid tumors of the lung: a clinicopathological correlation of 783 cases with emphasis on histological features. Hum Pathol 2020; 98:98-109. [PMID: 32145220 DOI: 10.1016/j.humpath.2020.02.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/17/2020] [Accepted: 02/23/2020] [Indexed: 11/17/2022]
Abstract
We present 783 surgical resections of typical and atypical carcinoid tumors of the lung identified in the pathology files of 20 different pathology departments. All cases were critically reviewed for clinical and pathological features and further correlated with clinical outcomes. Long-term follow-up was obtained in all the patients and statistically analyzed to determine significance of the different parameters evaluated. Of the histopathological features analyzed, the presence of mitotic activity of 4 mitoses or more per 2 mm2, necrosis, lymphatic invasion, and lymph node metastasis were identified as statistically significant. Tumors measuring 3 cm or more were also identified as statistically significant and correlated with clinical outcomes. Based on our analysis, we consider that the separation of low- and intermediate-grade neuroendocrine neoplasms of the lung needs to be readjusted in terms of mitotic count as the risk of overgrading these neoplasms exceeds 10% under the current criteria. We also consider that tumor size is an important feature to be considered in the assessment of these neoplasms and together with the histological grade of the tumor offers important features that can be correlated with clinical outcomes.
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Affiliation(s)
- Cesar A Moran
- Department of Pathology, MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Kaleigh E Lindholm
- Department of Pathology, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Hans Brunnström
- Lund University, Laboratory Medicine, Department of Clinical Sciences Lund, Pathology, Lund, 22210, Sweden
| | - Gerald Langman
- Heart of England NHS Foundation Trust, Birmingham, B1 1BB, United Kingdom
| | - Se Jin Jang
- Asan Medical Center, Ulsan University School of Medicine, Seoul, 100-011, Republic of Korea
| | - Dominic Spagnolo
- PathWest Laboratory Medicine Western Australia, University of Western Australia, School of Pathology and Laboratory Medicine, Nedlands, Western Australia, 6006, Australia; University of Notre Dame, Fremantle, Western Australia, 6006, Australia
| | - Siaw Ming Chai
- PathWest Laboratory Medicine Western Australia, University of Western Australia, School of Pathology and Laboratory Medicine, Nedlands, Western Australia, 6006, Australia
| | - Andrew Laycock
- PathWest Laboratory Medicine Western Australia, University of Western Australia, School of Pathology and Laboratory Medicine, Nedlands, Western Australia, 6006, Australia; University of Notre Dame, Fremantle, Western Australia, 6006, Australia
| | | | | | | | - Filomena Medeiros
- Essex Cardiothoracic Center, Basildon, CB1 6NU, United Kingdom; Thurrock University Hospitals NHS Foundation Trust, RM16 4XS, United Kingdom
| | - Lilian Edmunds
- Essex Cardiothoracic Center, Basildon, CB1 6NU, United Kingdom; Thurrock University Hospitals NHS Foundation Trust, RM16 4XS, United Kingdom
| | | | | | - Jae Ro
- Methodist Hospital, Houston, TX, 77030, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Arlene M Correa
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - Boris Sepesi
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - David Rice
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - Reza Mehran
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
| | - Garrett Walsh
- Department of Thoracic Surgery, M D Anderson Cancer Center, Houston, TX, 77030, USA
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Abstract
Neuroendocrine tumors of the lung constitute approximately 20% of all primary lung tumors and include typical carcinoid, atypical carcinoid, small cell carcinoma, and large cell neuroendocrine carcinoma. Given their morphologic overlap with diverse mimics, neuroendocrine tumors of the lung can be diagnostically challenging. This review discusses the clinical, histologic, immunophenotypic, and molecular features of pulmonary neuroendocrine tumors, along with common diagnostic pitfalls and strategies for avoidance.
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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: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Naheed S, Holden C, Tanno L, Jaynes E, Cave J, Ottensmeier CH, Pelosi G. The utility of Ki-67 as a prognostic biomarker in pulmonary neuroendocrine tumours: protocol for a systematic review and meta-analysis. BMJ Open 2019; 9:e031531. [PMID: 31446421 PMCID: PMC6720315 DOI: 10.1136/bmjopen-2019-031531] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
INTRODUCTION The omission of the immunohistochemical proliferation marker Ki-67 labelling index (henceforth, simply Ki-67) from the 2015 WHO classification system of pulmonary neuroendocrine tumours (Lung-NETs) as a prognostic and grading criterion remains controversial. This systematic review along with meta-analysis will be conducted to assess the prognostic/grading utility of Ki-67 in Lung-NETs. METHODS This systematic review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A systematic search of MEDLINE Ovid, Embase, Scopus and the Cochrane Library will be performed from the inception of each database to 28 February 2019 for studies investigating any role of Ki-67 in Lung-NETs. Only full papers published in English detailing survival outcomes and HRs according to Ki-67 will be included. The primary endpoint will be establishing whether Ki-67 is a reliable marker in determining prognosis and thus assessing grade of Lung-NETs patients. ETHICS AND DISSEMINATION Ethical approval will not be required as this is an academic review of published literature. Findings will be disseminated through the preparation of a manuscript for publication in a peer-reviewed journal as well as presentation at national and international conferences. PROSPERO REGISTRATION NUMBER CRD42018093389.
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Affiliation(s)
- Salma Naheed
- Cancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton Faculty of Medicine, Southampton, UK
| | - Chloe Holden
- Department of Oncology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Lulu Tanno
- Cancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton Faculty of Medicine, Southampton, UK
| | - Eleanor Jaynes
- Department of Cellular Pathology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Judith Cave
- Department of Oncology, Wessex NET Group ENETS Centre of Excellence, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Christian H Ottensmeier
- Cancer Sciences Unit, NIHR and CRUK Experimental Cancer Medicine Center and NIHR Biomedical Research Center Southampton, University of Southampton Faculty of Medicine, Southampton, UK
| | - Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy
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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: 0.5] [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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Rekhtman N, Desmeules P, Litvak AM, Pietanza MC, Santos-Zabala ML, Ni A, Montecalvo J, Chang JC, Beras A, Preeshagul IR, Sabari JK, Rudin CM, Ladanyi M, Klimstra DS, Travis WD, Lai WC. Stage IV lung carcinoids: spectrum and evolution of proliferation rate, focusing on variants with elevated proliferation indices. Mod Pathol 2019; 32:1106-1122. [PMID: 30923345 PMCID: PMC6746332 DOI: 10.1038/s41379-019-0248-2] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 02/21/2019] [Accepted: 02/21/2019] [Indexed: 02/07/2023]
Abstract
The spectrum and evolution of proliferation rates in stage IV lung carcinoids is poorly defined. In particular, there are limited data on the prevalence and characteristics of tumors exceeding the standard upper proliferative criteria-as defined largely based on early-stage carcinoids-in metastatic setting. Sixty-six patients with stage IV lung carcinoids were identified, and all evaluable samples (n = 132; mean 2 samples per patient) were analyzed for mitotic counts and Ki-67 rate. Clinicopathologic and genomic features associated with elevated proliferation rates (>10 mitoses per 2 mm2 and/or >20% hot-spot Ki-67), and evolution of proliferation rates in serial specimens were analyzed. We found that mitoses and/or Ki-67 exceeded the standard criteria in 35 of 132 (27%) samples, primarily (31/35 cases) at metastatic sites. Although neuroendocrine neoplasms with >10 mitoses per 2 mm2 are currently regarded as de facto neuroendocrine carcinomas, the notion that these cases are part of the spectrum of carcinoids was supported by (1) well-differentiated morphology, (2) conventional proliferation rates in other samples from same patient, (3) genetic characteristics, including the lack of RB1/TP53 alterations in all tested samples (n = 19), and (4) median overall survival of 2.7 years, compared to <1 year survival of stage IV neuroendocrine carcinomas in the historic cohorts. In patients with matched primary/metastatic specimens (48 pairs), escalation of mitoses or Ki-67 by ≥10 points was observed in 35% of metastatic samples; clonal relationship in one pair with marked proliferative progression was confirmed by next-generation sequencing. Notably, escalation of proliferation rate was documented in a subset of metastases arising from resected typical carcinoids, emphasizing that the diagnosis of typical carcinoid in primary tumor does not assure low proliferation rate at metastatic sites. In conclusion, stage IV lung carcinoids frequently exceed the standard proliferative criteria established for primary tumors, and commonly exhibit proliferative escalation at metastatic sites. Despite the overlap of proliferation rates, these tumors show fundamental morphologic, genomic and clinical differences from neuroendocrine carcinomas, and should be classified separately from those tumors. Awareness of the increased proliferative spectrum in metastatic carcinoids is critical for their accurate diagnosis. Further studies are warranted to explore the impact of proliferation indices on prognosis and therapeutic responses of patients with metastatic carcinoids.
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Affiliation(s)
- Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Patrice Desmeules
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology, Quebec Heart and Lung Institute, Quebec, QC, Canada
| | - Anna M Litvak
- Thoracic Oncology Service, Department of Medicine, Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Cancer Center at Saint Barnabas Medical Center, Livingston, NJ, USA
| | - Maria C Pietanza
- Thoracic Oncology Service, Department of Medicine, Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Merck Research Laboratories, Rahway, NJ, USA
| | | | - Ai Ni
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph Montecalvo
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jason C Chang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amanda Beras
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Isabel R Preeshagul
- Thoracic Oncology Service, Department of Medicine, Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joshua K Sabari
- Thoracic Oncology Service, Department of Medicine, Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- New York University Langone's Perlmutter Cancer Center, New York, NY, USA
| | - Charles M Rudin
- Thoracic Oncology Service, Department of Medicine, Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David S Klimstra
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - William D Travis
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei-Chu Lai
- Thoracic Oncology Service, Department of Medicine, Division of Solid Tumor Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Pelosi G, Massa F, Gatti G, Righi L, Volante M, Birocco N, Maisonneuve P, Sonzogni A, Harari S, Albini A, Papotti M. Ki-67 Evaluation for Clinical Decision in Metastatic Lung Carcinoids: A Proof of Concept. CLINICAL PATHOLOGY 2019; 12:2632010X19829259. [PMID: 31041430 PMCID: PMC6477754 DOI: 10.1177/2632010x19829259] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Accepted: 12/27/2018] [Indexed: 11/25/2022]
Abstract
Accrual of metastatic pulmonary carcinoid patients for therapy is usually relied
on clinical and histologic characterization, with no role for the proliferation
activity as defined by Ki-67 labelling index (LI). A total of 14 carcinoid
patients with tumour primaries (TP) and 19 corresponding tumour metastases (TM)
were blindly reviewed by 2 different pathologists for necrosis, mitotic count,
and Ki-67 LI. Ki-67 LI outperformed histologic subtyping, mitotic count, and
necrosis with good to almost excellent (0.40-0.75) inter-observer agreement.
About 10% cut-off Ki-67 LI predicted survival better than histology for TP and
TM for both observers. The TM patients survived differently according to diverse
treatments (somatostatin analogues [SSAs], analogues plus additional treatments
except for platinum; platinum-based chemotherapy) in close correlation with
<10%, 10% to 20%, and >20% cut-off thresholds of Ki-67 LI, respectively.
There was also a trend for an increase in Ki-67 LI in TM as compared with TP.
This is the first proof of concept in which a clinical potential is
preliminarily suggested for Ki-67 LI to better stratify pulmonary metastatic
carcinoid patients for treatment according to a criterion of
histology-independent biological aggressiveness.
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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, Milan, Italy
| | - Federica Massa
- Department of Oncology, University of Turin and Pathology Unit, Molinette Hospital, City of Health and Science, Turin, Italy
| | - Gaia Gatti
- Department of Oncology, University of Turin and Pathology Unit, San Luigi Hospital, Turin, Italy
| | - Luisella Righi
- Department of Oncology, University of Turin and Pathology Unit, San Luigi Hospital, Turin, Italy
| | - Marco Volante
- Department of Oncology, University of Turin and Pathology Unit, San Luigi Hospital, Turin, Italy
| | - Nadia Birocco
- Medical Oncology, Molinette Hospital, City of Health and Science, Turin, Italy
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, European Institute of Oncology (IEO), IRCCS, 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, IRCCS MultiMedica, Milan, Italy
| | - Adriana Albini
- Laboratory of Vascular Biology and Angiogenesis, Science & Technology Park, IRCCS MultiMedica, Milan, Italy
| | - Mauro Papotti
- Department of Oncology, University of Turin and Pathology Unit, Molinette Hospital, City of Health and Science, Turin, Italy
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