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Pelosi G, Bianchi F, Hofman P, Pattini L, Ströbel P, Calabrese F, Naheed S, Holden C, Cave J, Bohnenberger H, Dinter H, Harari S, Albini A, Sonzogni A, Papotti M, Volante M, Ottensmeier CH. Recent advances in the molecular landscape of lung neuroendocrine tumors. Expert Rev Mol Diagn 2019; 19:281-297. [PMID: 30900485 DOI: 10.1080/14737159.2019.1595593] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 03/12/2019] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Neuroendocrine tumors of the lung (Lung-NETs) make up a heterogenous family of neoplasms showing neuroendocrine differentiation and encompass carcinoids and neuroendocrine carcinomas. On molecular grounds, they considered two completely distinct and separate tumor groups with no overlap of molecular alterations nor common developmental mechanisms. Areas covered: Two perspectives were evaluated based on an extensive review and rethinking of literature: (1) the current classification as an instrument to obtaining clinical and molecular insights into the context of Lung-NETs; and (2) an alternative and innovative interpretation of these tumors, proposing a tripartite separation into early aggressive primary high-grade neuroendocrine tumors (HGNET), differentiating or secondary HGNET, and indolent NET. Expert opinion: We herein provide an alternative outlook on Lung-NETs, which is a paradigm shift to current pathogenesis models and expands the understanding of these tumors.
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Affiliation(s)
- Giuseppe Pelosi
- a Department of Oncology and Hemato-Oncology , University or Milan , Milan , Italy
- b Inter-hospital Pathology Division , Institute for Research and Care-IRCCS MultiMedica , Milan , Italy
| | - Fabrizio Bianchi
- c Cancer Biomarkers Unit, Foundation for Research and Care-IRCCS "Casa Sollievo della Sofferenza" , Foggia , Italy
| | - Paul Hofman
- d Laboratory of Clinical and Experimental Pathology , FHU OncoAge, Nice Hospital, Biobank BB-0033-00025, IRCAN, Inserm U1081 CNRS 7284, University Côte d'Azur , Nice , France
| | - Linda Pattini
- e Department of Electronics , Information and Bioengineering, Polytechnic of Milan , Milan , Italy
| | - Philipp Ströbel
- f Institute of Pathology , University Medical Center Göttingen , Göttingen , Germany
| | - Fiorella Calabrese
- g Department of Cardiac, Thoracic and Vascular Sciences , University of Padua , Padua , Italy
| | - Salma Naheed
- h Cancer Sciences Unit, Faculty of Medicine , University of Southampton , Southampton , UK
| | - Chloe Holden
- i Department of Medical Oncology , Royal Bournemouth and Christchurch Hospitals NHS Trust , Bournemouth , UK
| | - Judith Cave
- j Department of Medical Oncology , University Hospital Southampton NHS FT , Southampton , UK
| | - Hanibal Bohnenberger
- f Institute of Pathology , University Medical Center Göttingen , Göttingen , Germany
| | - Helen Dinter
- f Institute of Pathology , University Medical Center Göttingen , Göttingen , Germany
| | - Sergio Harari
- k Department of Medical Sciences and Division of Pneumology, San Giuseppe Hospital , Institute for Research and Care-IRCCS MultiMedica , Milan , Italy
| | - Adriana Albini
- l Laboratory of Vascular Biology and Angiogenesis , Institute for Research and Care-IRCCS MultiMedica , Milan , Italy
| | - Angelica Sonzogni
- m Department of Pathology and Laboratory Medicine , Foundation for Research and Care-IRCCS National Cancer Institute , Milan , Italy
| | - Mauro Papotti
- n Department of Oncology , University of Turin , Turin , Italy
| | - Marco Volante
- o Department of Oncology , University of Turin and Pathology Unit San Luigi Hospital , Turin , Italy
| | - Christian H Ottensmeier
- p Christian CRUK and NIHR Southamtpon Experimental Cancer Medicine Centre, Faculty of Medicine , University of Southampton , Southampton , UK
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Dong A, Zhang J, Chen X, Ren X, Zhang X. Diagnostic value of ProGRP for small cell lung cancer in different stages. J Thorac Dis 2019; 11:1182-1189. [PMID: 31179060 DOI: 10.21037/jtd.2019.04.29] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background To investigate the roles of gastrin-releasing peptide (ProGRP) in the diagnosis of small cell lung cancer (SCLC). Methods We retrospectively analyzed data from 11,206 patients with clinical suspicion of lung cancer from January 1, 2015 to May 31, 2018. ProGRP and neuron-specific enolase (NSE) were detected in peripheral blood, and receiver operating characteristic curve (ROC) was used for analysis. Results ROC indicated that the cutoff values of ProGRP and NSE were 66 ng/L and 18 µg/L respectively, and the diagnosis efficacy of ProGRP was greater than that of NSE (sensitivity: 86.5% vs. 78.8%; specificity: 96.5% vs. 86.3%, respectively) in the diagnosis of SCLC. Moreover, the median level of ProGRP in SCLC increased with the accompanying stages (P<0.001). Further analysis showed that diagnostic efficacy can be improved by using different cutoff values in different stages, but not stage I and II. The cut-off values of ProGRP in the diagnosis of SCLC in stage I-II, III and IV were 56, 71 and 99 ng/L respectively. In addition, the sensitivity (96.6% vs. 95.8% and 98.3% vs. 94.8%) and concordance rate (χ2 =1,526.9 and 988.7, both P<0.001) of detecting SCLC was improved by using different cutoff values compared with the only criteria of ProGRP being ≥66 ng/L in stage III and IV, but not stage I-II. Additionally in stage III and IV, the concordance rates of ProGRP ≥71 ng/L and ProGRP ≥99 ng/L were also higher than ProGRP ≥300 ng/L (both P<0.001), which was conventionally indicated for SCLC. Conclusions ProGRP has significantly higher sensitivity and specificity than NSE in the diagnosis of SCLC. Furthermore, special thresholds for every stage may be more reasonable for the diagnosis of SCLC.
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Affiliation(s)
- Aoran Dong
- Department of Biotherapy, Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China.,National Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.,Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.,Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Jiali Zhang
- Department of Biotherapy, Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China.,National Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.,Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.,Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xiaobin Chen
- Department of Oncology, the Affiliated Caner Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 45000, China
| | - Xiubao Ren
- Department of Biotherapy, Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China.,National Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.,Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.,Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xinwei Zhang
- Department of Biotherapy, Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China.,National Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.,Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.,Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
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3
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Bak SH, Park H, Lee HY, Kim Y, Kim HL, Jung SH, Kim H, Kim J, Park K. Imaging genotyping of functional signaling pathways in lung squamous cell carcinoma using a radiomics approach. Sci Rep 2018; 8:3284. [PMID: 29459639 PMCID: PMC5818618 DOI: 10.1038/s41598-018-21706-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Accepted: 02/09/2018] [Indexed: 01/06/2023] Open
Abstract
Imaging features can be useful for identifying distinct genomic differences and have predictive power for certain phenotypes attributed to genomic mutations. We aimed to identify predictive imaging biomarkers that underpin genomic alterations and clinical outcomes in lung squamous cell carcinoma (SQCC) using a radiomics approach. In 57 patients with lung SQCC who underwent preoperative computed tomography (CT) and whole-exome DNA sequencing, 63 quantitative imaging features were extracted from CT and 73 clinicoradiological features including imaging features were classified into 8 categories: clinical, global, histogram-based, lung cancer-specific, shape, local, regional, and emphysema. Mutational profiles for core signaling pathways of lung SQCC were classified into five categories: redox stress, apoptosis, proliferation, differentiation, and chromatin remodelers. Range and right lung volume was significantly associated with alternation of apoptosis and proliferation pathway (p = 0.03, and p = 0.03). Energy was associated with the redox stress pathway (p = 0.06). None of the clinicoradiological features showed any significant association with the alteration of differentiation and chromatin remodelers pathway. This study showed that radiomic features indicating five different functional pathways of lung SQCC were different form one another. Radiomics approaches to lung SQCC have the potential to noninvasively predict alterations in core signaling pathways and clinical outcome.
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Affiliation(s)
- So Hyeon Bak
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Radiology, Kangwon National University Hospital, Chuncheon, Korea
| | - Hyunjin Park
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea.,Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science, Suwon, Korea
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
| | - Youngwook Kim
- Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyung-Lae Kim
- Department of Biochemistry, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Sin-Ho Jung
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Hyeseung Kim
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Jonghoon Kim
- Department of Electronic Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
| | - Keunchil Park
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
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Pelosi G, Sonzogni A, Harari S, Albini A, Bresaola E, Marchiò C, Massa F, Righi L, Gatti G, Papanikolaou N, Vijayvergia N, Calabrese F, Papotti M. Classification of pulmonary neuroendocrine tumors: new insights. Transl Lung Cancer Res 2017; 6:513-529. [PMID: 29114468 PMCID: PMC5653522 DOI: 10.21037/tlcr.2017.09.04] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/12/2017] [Indexed: 12/11/2022]
Abstract
Neuroendocrine tumors of the lung (Lu-NETs) embrace a heterogeneous family of neoplasms classified into four histological variants, namely typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC) and small cell lung carcinoma (SCLC). Defining criteria on resection specimens include mitotic count in 2 mm2 and the presence or absence of necrosis, alongside a constellation of cytological and histological traits including cell size and shape, nuclear features and overall architecture. Clinically, TC are low-grade malignant tumors, AC intermediate-grade malignant tumors and SCLC/LCNEC high-grade malignant full-blown carcinomas with no significant differences in survival between them. Homologous tumors arise in the thymus that occasionally have some difficulties in differentiating from the lung counterparts when presented with large unresectable or metastatic lesions. Immunohistochemistry (IHC) helps refine NE diagnosis at various anatomical sites, particularly on small-sized tissue material, in which only TC and small cell carcinoma categories can be recognized easily on hematoxylin & eosin stain, while AC and LCNEC can only be suggested on such material. The Ki-67 labeling index effectively separates carcinoids from small cell carcinoma and may prove useful for the clinical management of a metastatic disease to help the therapeutic decision-making process. Although carcinoids and high-grade neuroendocrine carcinomas in the lung and elsewhere make up separate tumor categories on molecular grounds, emerging data supports the concept of secondary high-grade NETs arising in the preexisting carcinoids, whose clinical and biological relevance will have to be placed into the proper context for the optimal management of these patients. In this review, we will discuss the selected, recent literature with a focus on current issues regarding Lu-NET nosology, i.e., classification, derivation and tumor evolution.
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Affiliation(s)
- Giuseppe Pelosi
- Department of Oncology and Hemato-Oncology, Università degli Studi di Milano, Milan, Italy
- Inter-hospital Pathology Division, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Angelica Sonzogni
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Sergio Harari
- Department of Medical Sciences and Division of Pneumology, San Giuseppe Hospital, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Adriana Albini
- Laboratory of Vascular Biology and Angiogenesis, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Enrica Bresaola
- Department of Pathology and Laboratory Medicine, European Institute of Oncology, Milan, Italy
| | - Caterina Marchiò
- Department of Medical Sciences, University of Turin, and Pathology Division, AOU Città della Salute e della Scienza, Turin, Italy
| | - Federica Massa
- Department of Oncology, University of Turin, and Pathology Division, AOU Città della Salute e della Scienza, Turin, Italy
| | - Luisella Righi
- Department of Oncology, University of Turin, Pathology Division, San Luigi Hospital, University of Turin, Turin, Italy
| | - Gaia Gatti
- Department of Oncology, University of Turin, Pathology Division, San Luigi Hospital, University of Turin, Turin, Italy
| | - Nikolaos Papanikolaou
- Inter-hospital Pathology Division, Science & Technology Park, IRCCS MultiMedica Group, Milan, Italy
| | - Namrata Vijayvergia
- Department of Hematology and Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Fiorella Calabrese
- Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padova, Italy
| | - Mauro Papotti
- Department of Oncology, University of Turin, and Pathology Division, AOU Città della Salute e della Scienza, Turin, Italy
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Yu H, Frank C, Hemminki A, Sundquist K, Hemminki K. Other cancers in lung cancer families are overwhelmingly smoking-related cancers. ERJ Open Res 2017; 3:00006-2017. [PMID: 28670582 PMCID: PMC5486776 DOI: 10.1183/23120541.00006-2017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 05/16/2017] [Indexed: 11/21/2022] Open
Abstract
Familial risks of lung cancer are well-established, but whether lung cancer clusters with other discordant cancers is less certain, particularly beyond smoking-related sites, which may provide evidence on genetic contributions to lung cancer aetiology. We used a novel approach to search for familial associations in the Swedish Family-Cancer Database. This involved assessment of familial relative risk for cancer X in families with increasing numbers of lung cancer patients and, conversely, relative risks for lung cancer in families with increasing numbers of patients with cancers X. However, we lacked information on smoking. The total number of lung cancers in the database was 125 563. We applied stringent statistical criteria and found that seven discordant cancers were associated with lung cancer among family members, and six of these were known to be connected with smoking: oesophageal, upper aerodigestive tract, liver, cervical, kidney and urinary bladder cancers. A further novel finding was that cancer of unknown primary also associated with lung cancer. We also factored in histological evidence and found that anal and connective tissue cancers could be associated with lung cancer for reasons other than smoking. For endometrial and prostate cancers, suggestive negative associations with lung cancer were found. Although we lacked information on smoking it is prudent to conclude that practically all observed discordant associations of lung cancer were with cancers for which smoking is a risk factor. Among family members of lung cancer patients, 7 other cancers were found, all of which were smoking relatedhttp://ow.ly/ZLnt30csVfZ
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Affiliation(s)
- Hongyao Yu
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christoph Frank
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Akseli Hemminki
- Cancer Gene Therapy Group, Faculty of Medicine, University of Helsinki, Finland.,Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
| | | | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Center for Primary Health Care Research, Lund University, Malmö, Sweden
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Fabbri A, Cossa M, Sonzogni A, Papotti M, Righi L, Gatti G, Maisonneuve P, Valeri B, Pastorino U, Pelosi G. Ki-67 labeling index of neuroendocrine tumors of the lung has a high level of correspondence between biopsy samples and surgical specimens when strict counting guidelines are applied. Virchows Arch 2017; 470:153-164. [PMID: 28054150 DOI: 10.1007/s00428-016-2062-2] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Revised: 11/10/2016] [Accepted: 12/21/2016] [Indexed: 02/07/2023]
Abstract
Optimal histopathological analysis of biopsies from metastases of neuroendocrine tumor (NET) of the lung requires more than morphology only. Additional parameters such as Ki-67 labeling index are required for adequate diagnosis, but few studies have compared reproducibility of different counting protocols and modalities of reporting on biopsies of lung NET. We compared the results of four different manual counting techniques to establish Ki-67 LI. On 47 paired biopsies and surgical specimens from 22 typical carcinoids (TCs), 14 atypical carcinoids (ACs), six large cell neuroendocrine carcinomas (LCNECs), and five small cell carcinomas (SCCs) immunohistochemical staining of Ki-67 antigen was performed. We counted, in regions of highest nuclear staining (HSR), a full ×40-high-power field (diameter = 0.55 mm), 500 or 2000 cells, or 2 mm2 surface area, including the HSR or the entire biopsy fragment(s). Mitoses and necrosis were evaluated in an area of 2 mm2 or the entire biopsy fragment(s). Between the four counting methods, no differences in Ki-67 LI were observed. However, a Ki-67 LI higher than 5% was found in only four cases when in an HSR, 500 cells were counted (18%), five (23%) when in an HSR 2000 cells were counted, four (18%) when 2 mm2 were counted, and one (5%) TC case when the entire biopsy was counted. A 20% cutoff distinguished TC and AC from LCNEC and SCC with 100% specificity and sensitivity, while mitoses and necrosis failed to a large extent. Ki-67 LI in biopsy samples was concordant with that in resection specimens when 2000 cells, 2 mm2, or the entire biopsy fragment(s) were counted. Our results are important for clinical management of patients with metastases of a lung NET.
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Affiliation(s)
- Alessandra Fabbri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Mara Cossa
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Angelica Sonzogni
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Mauro Papotti
- Department of Oncology, University of Turin, Turin, Italy
| | - Luisella Righi
- Department of Oncology, University of Turin, Turin, Italy
| | - Gaia Gatti
- Department of Oncology, University of Turin, Turin, Italy
| | - Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy
| | - Barbara Valeri
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Ugo Pastorino
- Division of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Giuseppe Pelosi
- Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy.
- Department of Oncology and Hemato-oncology, Università degli Studi, Milan, Italy.
- Dipartimento di Oncologia ed Emato-oncologia, Via Festa del Perdono, 7, I-20122, Milan, Italy.
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Genomic architecture of lung cancers. Curr Opin Oncol 2016. [DOI: 10.1097/01.cco.0000481014.79270.0a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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