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Franchina M, Cavalcoli F, Falco O, La Milia M, Elvevi A, Massironi S. Biochemical Markers for Neuroendocrine Tumors: Traditional Circulating Markers and Recent Development-A Comprehensive Review. Diagnostics (Basel) 2024; 14:1289. [PMID: 38928704 PMCID: PMC11203125 DOI: 10.3390/diagnostics14121289] [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: 05/08/2024] [Revised: 06/13/2024] [Accepted: 06/15/2024] [Indexed: 06/28/2024] Open
Abstract
Neuroendocrine neoplasms (NENs) are a heterogeneous group of neoplasms presenting unique challenges in diagnosis and management. Traditional markers such as chromogranin A (CgA), pancreatic polypeptide (PP), and neuron-specific enolase (NSE) have limitations in terms of specificity and sensitivity. Specific circulating markers such as serotonin and its metabolite 5-hydroxyindoleacetic acid (5-HIAA) and various gastrointestinal hormones such as gastrin, glucagon, somatostatin, and vasoactive intestinal peptide (VIP) have a role in identifying functional NENs. Recent advances in molecular and biochemical markers, also accounting for novel genomic and proteomic markers, have significantly improved the landscape for the diagnosis and monitoring of NENs. This review discusses these developments, focusing on both traditional markers such as CgA and NSE, as well as specific hormones like gastrin, insulin, somatostatin, glucagon, and VIP. Additionally, it covers emerging genomic and proteomic markers that are shaping current research. The clinical applicability of these markers is highlighted, and their role in improving diagnostic accuracy, predicting surgical outcomes, and monitoring response to treatment is demonstrated. The review also highlights the need for further research, including validation of these markers in larger studies, development of standardized assays, and integration with imaging techniques. The evolving field of biochemical markers holds promise for improving patient outcomes in the treatment of NENs, although challenges in standardization and validation remain.
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Affiliation(s)
- Marianna Franchina
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Federica Cavalcoli
- Gastroenterology and Digestive Endoscopy Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy
| | - Olga Falco
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Marta La Milia
- Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Alessandra Elvevi
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
| | - Sara Massironi
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
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2
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Zhang XB, Fan YB, Jing R, Getu MA, Chen WY, Zhang W, Dong HX, Dakal TC, Hayat A, Cai HJ, Ashrafizadeh M, Abd El-Aty AM, Hacimuftuoglu A, Liu P, Li TF, Sethi G, Ahn KS, Ertas YN, Chen MJ, Ji JS, Ma L, Gong P. Gastroenteropancreatic neuroendocrine neoplasms: current development, challenges, and clinical perspectives. Mil Med Res 2024; 11:35. [PMID: 38835066 DOI: 10.1186/s40779-024-00535-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 05/07/2024] [Indexed: 06/06/2024] Open
Abstract
Neuroendocrine neoplasms (NENs) are highly heterogeneous and potentially malignant tumors arising from secretory cells of the neuroendocrine system. Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are the most common subtype of NENs. Historically, GEP-NENs have been regarded as infrequent and slow-growing malignancies; however, recent data have demonstrated that the worldwide prevalence and incidence of GEP-NENs have increased exponentially over the last three decades. In addition, an increasing number of studies have proven that GEP-NENs result in a limited life expectancy. These findings suggested that the natural biology of GEP-NENs is more aggressive than commonly assumed. Therefore, there is an urgent need for advanced researches focusing on the diagnosis and management of patients with GEP-NENs. In this review, we have summarized the limitations and recent advancements in our comprehension of the epidemiology, clinical presentations, pathology, molecular biology, diagnosis, and treatment of GEP-NETs to identify factors contributing to delays in diagnosis and timely treatment of these patients.
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Affiliation(s)
- Xian-Bin Zhang
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Yi-Bao Fan
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Rui Jing
- Department of Radiology, Second Hospital of Shandong University, Jinan, Shandong, 250000, China
| | - Mikiyas Amare Getu
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Wan-Ying Chen
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
- School of Pharmacy, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong, 518060, China
| | - Wei Zhang
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Hong-Xia Dong
- Department of Gastroenterology, General Hospital of Chinese PLA, Beijing, 100853, China
| | - Tikam Chand Dakal
- Department of Biotechnology, Mohanlal Sukhadia University, Udaipur, Rajasthan, 313001, India
| | - Akhtar Hayat
- Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad, Lahore Campus, Lahore, 54000, Pakistan
| | - Hua-Jun Cai
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Milad Ashrafizadeh
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - A M Abd El-Aty
- Department of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza, 12211, Egypt
- Department of Medical Pharmacology, Medical Faculty, Ataturk University, Erzurum, 25240, Turkey
| | - Ahmet Hacimuftuoglu
- Department of Medical Pharmacology, Medical Faculty, Ataturk University, Erzurum, 25240, Turkey
| | - Peng Liu
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China
| | - Tian-Feng Li
- Reproductive Medicine Center, Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, Guangdong, 518055, China
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore
| | - Kwang Seok Ahn
- Department of Science in Korean Medicine, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Yavuz Nuri Ertas
- ERNAM-Nanotechnology Research and Application Center, Erciyes University, Kayseri, 38039, Türkiye
- Department of Biomedical Engineering, Erciyes University, Kayseri, 38280, Türkiye
- UNAM-National Nanotechnology Research Center, Bilkent University, Ankara, 06800, Türkiye
| | - Min-Jiang Chen
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China
| | - Jian-Song Ji
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, Zhejiang, 323000, China
| | - Li Ma
- Department of Epidemiology, Dalian Medical University, Dalian, Liaoning, 116044, China
| | - Peng Gong
- Department of General SurgeryInstitute of Precision Diagnosis and Treatment of Digestive System Tumors and Guangdong Provincial Key Laboratory of Chinese Medicine Ingredients and Gut Microbiomics, Carson International Cancer Center, Shenzhen University General Hospital, Shenzhen University, Shenzhen, Guangdong, 518055, China.
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Webster AP, Thirlwell C. The Molecular Biology of Midgut Neuroendocrine Neoplasms. Endocr Rev 2024; 45:343-350. [PMID: 38123518 PMCID: PMC11074790 DOI: 10.1210/endrev/bnad034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 10/12/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
Midgut neuroendocrine neoplasms (NENs) are one of the most common subtypes of NEN, and their incidence is rising globally. Despite being the most frequently diagnosed malignancy of the small intestine, little is known about their underlying molecular biology. Their unusually low mutational burden compared to other solid tumors and the unexplained occurrence of multifocal tumors makes the molecular biology of midgut NENs a particularly fascinating field of research. This review provides an overview of recent advances in the understanding of the interplay of the genetic, epigenetic, and transcriptomic landscape in the development of midgut NENs, a topic that is critical to understanding their biology and improving treatment options and outcomes for patients.
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Affiliation(s)
- Amy P Webster
- Department of Clinical and Biomedical Science, University of Exeter College of Medicine and Health, Exeter, EX2 5DW, UK
| | - Chrissie Thirlwell
- Department of Clinical and Biomedical Science, University of Exeter College of Medicine and Health, Exeter, EX2 5DW, UK
- University of Bristol Medical School, University of Bristol, Bristol, BS8 1UD, UK
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Schmidt BC, Leiderer MT, Amin T, Viol F, Huber S, Henes FO, Schrader J. Does gamma-glutamyltransferase correlate with liver tumor burden in neuroendocrine tumors? Endocrine 2024; 83:511-518. [PMID: 37770647 PMCID: PMC10850195 DOI: 10.1007/s12020-023-03545-x] [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] [Received: 04/14/2023] [Accepted: 09/18/2023] [Indexed: 09/30/2023]
Abstract
PURPOSE In patients with neuroendocrine tumors (NETs) and liver metastases, increased gamma-glutamyltransferase (GGT) is commonly assumed as an indicator for progressive disease. To date, however, empirical data are lacking. This study aimed to investigate associations between GGT and liver tumor burden. In longitudinal analyses, associations of GGT and radiographic responses of liver metastases under therapy were investigated. METHODS The cross-sectional sample consisted of 104 patients who were treated at the University Medical Center Hamburg-Eppendorf from 2008 to 2021 (mean age 62.3 ± 12.6 years, 58.7% male). GGT and liver imaging were identified in a time range of 3 months. Radiologic reassessments were performed to estimate liver tumor burden. In a separate longitudinal sample (n = 15), the course of GGT levels under chemotherapy was analyzed. Data were retrospectively analyzed with a univariate ANOVA, linear regression analyses, and Wilcoxon tests. RESULTS Of 104 cross-sectionally analyzed patients, 54 (51.9%) showed a GGT elevation. GGT levels and liver tumor burden were positively correlated (p < 0.001), independently from age, gender, primary tumor location, grading, and cholestasis. Notably, GGT increase was associated with a liver tumor burden of >50%. In the longitudinal sample, 10 of 11 patients with progressive disease showed increasing GGT, whereas 4 of 4 patients with regressive disease showed declining GGT. CONCLUSION Our findings indicate that GGT is associated with liver tumor burden. Over the course of therapy, GGT appears to change in line with radiographic responses. Further longitudinal studies with larger sample sizes are required to define GGT as a reliable marker for tumor response.
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Affiliation(s)
- Benjamin Christopher Schmidt
- Department of Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
- Department of Medicine II, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Miriam Theresa Leiderer
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tania Amin
- Department of Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabrice Viol
- Department of Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Samuel Huber
- Department of Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Frank Oliver Henes
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jörg Schrader
- Department of Medicine I, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Medicine, Klinikum Nordfriesland, Husum, Germany
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Mariën L, Islam O, Chhajlani S, Lybaert W, Peeters M, Van Camp G, Op de Beeck K, Vandamme T. The Quest for Circulating Biomarkers in Neuroendocrine Neoplasms: a Clinical Perspective. Curr Treat Options Oncol 2023; 24:1833-1851. [PMID: 37989978 DOI: 10.1007/s11864-023-01147-3] [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] [Accepted: 10/24/2023] [Indexed: 11/23/2023]
Abstract
OPINION STATEMENT Given the considerable heterogeneity in neuroendocrine neoplasms (NENs), it appears unlikely that a sole biomarker exists capable of fully capturing all useful clinical aspects of these tumors. This is reflected in the abundant number of biomarkers presently available for the diagnosis, prognosis, and monitoring of NEN patients. Although assessment of immunohistochemical and radiological markers remains paramount and often obligatory, there has been a notable surge of interest in circulating biomarkers over the years given the numerous benefits associated with liquid biopsies. Currently, the clinic primarily relies on single-analyte assays such as the chromogranin A assay, but these are far from ideal because of limitations such as compromised sensitivity and specificity as well as a lack of standardization. Consequently, the quest for NEN biomarkers continued with the exploration of multianalyte markers, exemplified by the development of the NETest and ctDNA-based analysis. Here, an extensive panel of markers is simultaneously evaluated to identify distinct signatures that could enhance the accuracy of patient diagnosis, prognosis determination, and response to therapy prediction and monitoring. Given the promising results, the development and implementation of these multianalyte markers are expected to usher in a new era of NEN biomarkers in the clinic. In this review, we will outline both clinically implemented and more experimental circulating markers to provide an update on developments in this rapidly evolving field.
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Affiliation(s)
- Laura Mariën
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- Integrated Personalized and Precision Oncology Network (IPPON), Center for Oncological Research (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Odeta Islam
- Integrated Personalized and Precision Oncology Network (IPPON), Center for Oncological Research (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
- NETwerk and Department of Oncology, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium
| | - Siddharth Chhajlani
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- NETwerk and Department of Oncology, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium
| | - Willem Lybaert
- NETwerk and Department of Oncology, VITAZ, Lodewijk de Meesterstraat 5, 9100, Sint-Niklaas, Belgium
| | - Marc Peeters
- Integrated Personalized and Precision Oncology Network (IPPON), Center for Oncological Research (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
- NETwerk and Department of Oncology, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium
| | - Guy Van Camp
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
| | - Ken Op de Beeck
- Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- Integrated Personalized and Precision Oncology Network (IPPON), Center for Oncological Research (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Timon Vandamme
- Integrated Personalized and Precision Oncology Network (IPPON), Center for Oncological Research (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium.
- NETwerk and Department of Oncology, Antwerp University Hospital, Drie Eikenstraat 655, 2650, Edegem, Belgium.
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Toyohara T, Yoshida M, Miyabe K, Hayashi K, Naitoh I, Kondo H, Hori Y, Kato A, Kachi K, Asano G, Sahashi H, Adachi A, Kuno K, Kito Y, Matsuo Y, Kataoka H. Dual role of autotaxin as novel biomarker and therapeutic target in pancreatic neuroendocrine neoplasms. Cancer Sci 2023; 114:4571-4582. [PMID: 37770812 PMCID: PMC10728022 DOI: 10.1111/cas.15980] [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: 06/15/2023] [Revised: 09/12/2023] [Accepted: 09/15/2023] [Indexed: 09/30/2023] Open
Abstract
Pancreatic neuroendocrine neoplasms (panNENs) are rare pancreatic neoplasms, and descriptions of treatment remain limited. Autotaxin (ATX) is a secreted autocrine motility factor involved in the production of lysophosphatidic acid (LPA), a lipid mediator that promotes the progression of various cancers. The aim of this study was to clarify the importance of the ATX-LPA axis in panNENs and to confirm its contribution to panNEN progression using clinical data, cell lines, and a mouse model. Serum ATX level was higher in patients with panNEN than in patients with other pancreatic diseases (chronic pancreatitis, pancreatic ductal adenocarcinoma [PDAC], intraductal papillary mucinous neoplasm, autoimmune pancreatitis) and healthy controls, and 61% of clinical specimens stained strongly for ATX. In a case we encountered, serum ATX level fluctuated with disease progression. An in vitro study showed higher ATX mRNA expression in panNEN cell lines than in PDAC cell lines. Cell proliferation and migration in panNEN cell lines were stimulated via the ATX-LPA axis and suppressed by RNA interference or inhibitors. An in vivo study showed that intraperitoneal injection of GLPG1690, an ATX inhibitor, suppressed tumor progression in a xenograft model. These findings revealed that ATX expression is significantly elevated in panNEN and is related to the progression of panNEN. We showed the potential of ATX as a novel biomarker and therapeutic target.
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Affiliation(s)
- Tadashi Toyohara
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Michihiro Yoshida
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Katsuyuki Miyabe
- Department of GastroenterologyJapanese Red Cross Aichi Medical Center Nagoya Daini HospitalNagoyaJapan
| | - Kazuki Hayashi
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Itaru Naitoh
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Hiromu Kondo
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Yasuki Hori
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Akihisa Kato
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Kenta Kachi
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Go Asano
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Hidenori Sahashi
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Akihisa Adachi
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Kayoko Kuno
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Yusuke Kito
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Yoichi Matsuo
- Department of Gastroenterological SurgeryNagoya City University Graduate School of Medical SciencesNagoyaJapan
| | - Hiromi Kataoka
- Department of Gastroenterology and MetabolismNagoya City University Graduate School of Medical SciencesNagoyaJapan
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Fan D, Li X, Yu Y, Wang X, Fang J, Huang C. Correlation between clinicopathological characteristics and the clinical prognosis of patients with gastroenteropancreatic neuroendocrine tumors. Mol Clin Oncol 2023; 19:85. [PMID: 37809346 PMCID: PMC10557094 DOI: 10.3892/mco.2023.2681] [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: 07/12/2023] [Accepted: 09/05/2023] [Indexed: 10/10/2023] Open
Abstract
Gastroenteropancreatic (GEP) neuroendocrine tumors (NETs) are one of the most common types of NETs, accounting for 65-75% of all NETs. However, epidemiological characteristics of patients with GEP-NETs in China are still lacking. The present retrospective study aimed to investigate the local epidemiology of GEP-NETs and assess the prognostic factors in China. The data of 267 patients with GEP-NETs who were admitted to the First Affiliated Hospital of Bengbu Medical College (Bengbu, China) and the Affiliated Hospital of West Anhui Health Vocational College (Lu'an, China) were retrospectively reviewed. The clinical and pathological characteristics of the patients, as well as follow-up information, were collected, and the 5-year survival rate was calculated. Kaplan-Meier curves and log-rank analysis were used to analyze the prognostic factors. The stomach (100/267; 37.5%) was the most common site of GEP-NETs and the liver (25/39; 64.1%) was the most common metastatic site. A total of 166 (62.2%) and 219 (82.0%) patients had positive results for chromogranin A (CgA) and synaptophysin (Syn), respectively. The percentage of patients with tumor grade G1, G2 and G3 was 33.3, 21.0 and 45.7%, respectively. The 5-year overall survival rate was 79.7%, and the age, tumor site, distant metastasis and tumor grading upon diagnosis were all prognostic factors. In conclusion, the present case series investigated the epidemiology and prognostic factors of GEP-NETs in China. CgA and Syn could be used as diagnostic markers for NETs and the stomach was the most common primary tumor site. Lymph node metastasis, tumor site, distant metastasis and tumor grading were important prognostic factors.
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Affiliation(s)
- Dongwei Fan
- Department of General Surgery, Affiliated Hospital of West Anhui Health Vocational College, Lu'an, Anhui 237000, P.R. China
| | - Xuanhe Li
- Department of Surgical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233000, P.R. China
| | - Yousheng Yu
- Department of General Surgery, Affiliated Hospital of West Anhui Health Vocational College, Lu'an, Anhui 237000, P.R. China
| | - Xingliang Wang
- Department of General Surgery, Affiliated Hospital of West Anhui Health Vocational College, Lu'an, Anhui 237000, P.R. China
| | - Jun Fang
- Department of General Surgery, Affiliated Hospital of West Anhui Health Vocational College, Lu'an, Anhui 237000, P.R. China
| | - Cheng Huang
- Department of General Surgery, Affiliated Hospital of West Anhui Health Vocational College, Lu'an, Anhui 237000, P.R. China
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8
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Tsoli M, Koumarianou A, Angelousi A, Kaltsas G. Established and novel circulating neuroendocrine tumor biomarkers for diagnostic, predictive and prognostic use. Best Pract Res Clin Endocrinol Metab 2023; 37:101785. [PMID: 37336711 DOI: 10.1016/j.beem.2023.101785] [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: 06/21/2023]
Abstract
The management of neuroendocrine tumors (NETs) represents a clinical challenge due to heterogeneity of their clinical behaviour, molecular biology and response to treatment. Over the years, several circulating biomarkers have been developed for the early diagnosis and follow-up of NETs. The specific secretory products of tumors associated with a secretory syndrome (functioning tumors) may be used as diagnostic and/or prognostic biomarkers while the most common non-specific circulating biomarkers, that may be increased in both functioning and non-functioning tumors, are chromogranin A and the neuron specific enolase. However, the diagnostic accuracy as well as the prognostic and predictive value of these biomarkers are limited and novel techniques of multianalyte analysis of regulators of tumor biology have been developed. The NETest has been most extensively studied and proved to be useful in NET diagnosis, early detection of post-operative recurrence and prediction of response to treatment but further investigation establishing higher level of evidence is required for implementation in clinical practice.
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Affiliation(s)
- Marina Tsoli
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, 1st Department of Propaedeutic and Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, 11527, Greece.
| | - Anna Koumarianou
- Haematology-Oncology Unit, Fourth Department of Internal Medicine, Attikon Hospital, National and Kapodistrian University of Athens, 12462, Greece
| | - Anna Angelousi
- Unit of Endocrinology, First Department of Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, 11527, Greece
| | - Gregory Kaltsas
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, 1st Department of Propaedeutic and Internal Medicine, Laiko Hospital, National and Kapodistrian University of Athens, 11527, Greece
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9
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Bevere M, Masetto F, Carazzolo ME, Bettega A, Gkountakos A, Scarpa A, Simbolo M. An Overview of Circulating Biomarkers in Neuroendocrine Neoplasms: A Clinical Guide. Diagnostics (Basel) 2023; 13:2820. [PMID: 37685358 PMCID: PMC10486716 DOI: 10.3390/diagnostics13172820] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 08/14/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Neuroendocrine neoplasms (NENs) are a heterogeneous group of diseases that are characterized by different behavior and clinical manifestations. The diagnosis and management of this group of tumors are challenging due to tumor complexity and lack of precise and widely validated biomarkers. Indeed, the current circulating mono-analyte biomarkers (such as chromogranin A) are ineffective in describing such complex tumors due to their poor sensitivity and specificity. In contrast, multi-analytical circulating biomarkers (including NETest) are emerging as more effective tools to determine the real-time profile of the disease, both in terms of accurate diagnosis and effective treatment. In this review, we will analyze the capabilities and limitations of different circulating biomarkers focusing on three relevant questions: (1) accurate and early diagnosis; (2) monitoring of disease progression and response to therapy; and (3) detection of early relapse.
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Affiliation(s)
- Michele Bevere
- ARC-Net Research Center, University of Verona, 37134 Verona, Italy; (M.B.); (F.M.); (A.G.); (A.S.)
| | - Francesca Masetto
- ARC-Net Research Center, University of Verona, 37134 Verona, Italy; (M.B.); (F.M.); (A.G.); (A.S.)
| | - Maria Elena Carazzolo
- Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, 37134 Verona, Italy; (M.E.C.); (A.B.)
| | - Alice Bettega
- Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, 37134 Verona, Italy; (M.E.C.); (A.B.)
| | - Anastasios Gkountakos
- ARC-Net Research Center, University of Verona, 37134 Verona, Italy; (M.B.); (F.M.); (A.G.); (A.S.)
| | - Aldo Scarpa
- ARC-Net Research Center, University of Verona, 37134 Verona, Italy; (M.B.); (F.M.); (A.G.); (A.S.)
- Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, 37134 Verona, Italy; (M.E.C.); (A.B.)
| | - Michele Simbolo
- Department of Diagnostics and Public Health, Section of Pathology, University and Hospital Trust of Verona, 37134 Verona, Italy; (M.E.C.); (A.B.)
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10
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Neuroendocrine Tumor Therapy Response Assessment. PET Clin 2023; 18:267-286. [PMID: 36858748 DOI: 10.1016/j.cpet.2022.11.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Peptide receptor radionuclide therapy has become an integral part of management of neuroendocrine neoplasms. Gallium-68- and lutetium-177-labeled somatostatin receptor analogues have replaced yttrium-90- and 111-indium-based tracers. Several newer targeted therapies are also being used in clinical and research settings. It is imperative to accurately evaluate the response to these agents. The characteristics of NENs and the response patterns of the targeted therapies make response assessment in this group challenging. This article provides an overview of the strengths and weaknesses of the various biomarkers available for response assessment.
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11
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Ramesh A, Chatterjee A, Subramaniam RM. Neuroendocrine Neoplasms: Epidemiology, Diagnosis, and Management. PET Clin 2023; 18:161-168. [PMID: 36707369 DOI: 10.1016/j.cpet.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Neuroendocrine tumors have variety of biological and clinical characteristics. The classification of neuroendocrine neoplasm has evolved, and the newest 2019 World Health Organization classification outlines a well-differentiated high-grade G3 subtype, recognizing its differences from the poorly differentiated neuroendocrine carcinoma. 68Ga-DOTAT PET has largely replaced somatostatin scintigraphy as the diagnostic workup choice for NENs. NETest, a multi-analyte liquid biopsy, is a promising recent development in the biochemical diagnosis. Management includes wait and watch approach, surgical resection, somatostatin analogs, 177Lu DOTATATE therapy, chemotherapy, radiotherapy or immunotherapy combinations. Further clinical trials are necessary for determining the appropriate sequencing.
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Affiliation(s)
- Ajitha Ramesh
- Dunedin Hospital, 201 Great King Street, Dunedin 9016, New Zealand
| | - Aniruddha Chatterjee
- Department of Pathology, Dunedin School of Medicine, University of Otago, PO Box 56, Dunedin 9054, New Zealand
| | - Rathan M Subramaniam
- Department of Medicine, Otago Medical School, University of Otago, 201 Great King Street, Dunedin, New Zealand; Department of Radiology, Duke University, Durham, NC, USA.
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12
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Bodei L, Raj N, Do RK, Mauguen A, Krebs S, Reidy-Lagunes D, Schöder H. Interim Analysis of a Prospective Validation of 2 Blood-Based Genomic Assessments (PPQ and NETest) to Determine the Clinical Efficacy of 177Lu-DOTATATE in Neuroendocrine Tumors. J Nucl Med 2023; 64:567-573. [PMID: 36396457 PMCID: PMC10071782 DOI: 10.2967/jnumed.122.264363] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 11/01/2022] [Accepted: 11/01/2022] [Indexed: 11/18/2022] Open
Abstract
Reliable biomarkers for neuroendocrine tumor (NET) management during peptide receptor radionuclide therapy (PRRT) are lacking. We validated the role of 2 circulating biomarkers: the PRRT prediction quotient (PPQ) as a predictive marker for response and the NETest as a monitoring biomarker. Furthermore, we evaluated whether tissue-based genetic alterations are effective in predicting progression-free survival (PFS). Methods: Data were prospectively collected on patients at the Memorial Sloan Kettering Cancer Center with 177Lu-DOTATATE-treated somatostatin receptor (SSTR)-positive gastroenteropancreatic and lung NETs (n = 67; median age, 66 y; 52% female; 42% pancreatic, 39% small-bowel; 78% grade 1 or 2). All cases were metastatic (89% liver) and had received 1-8 prior treatments (median, 3), including somatostatin analogs (91%), surgery (55%), or chemotherapy (49%). Treatment response included PFS. According to RECIST, version 1.1, responders had stable disease or a partial response (disease-control rate) and nonresponders had progression. Blood was collected before each cycle and at follow-up. Samples were deidentified and assayed and underwent masked analyses. The gene expression assays included RNA isolation, real-time quantitative polymerase chain reaction, and multialgorithm analyses. The PPQ (positive predicts a responder; negative predicts a nonresponder) at baseline was determined. The NETest (0-100 score) was performed. Statistics were analyzed using Mann-Whitney U testing (2-tailed) or Kaplan-Meier survival testing (PFS). In patients with archival tumor tissue, next-generation sequencing was performed through an institutional platform (Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets). Results: Forty-one patients (61%) were responders. PPQ accurately predicted 96% (64/67). The hazard ratio for prediction was 24.4 (95% CI, 8.2-72.5). Twelve-month disease control was 97% for PPQ-positive patients versus 26% for PPQ-negative patients (P < 0.0001). Median progression-free survival was not reached in those predicted to respond (PPQ-positive, n = 40) but was 8 mo in those predicted not to respond (PPQ-negative, n = 27). The NETest result in responders was 67 ± 25 at baseline and significantly (P < 0.05) decreased (-37 ± 44%) at follow-up. The NETest result in nonresponders was 44 ± 23 at baseline and significantly (P < 0.05) increased (+76% ± 56%) at progression. Overall, the NETest changes (increases or decreases) were 90% accurate. Thirty patients underwent next-generation sequencing. Tumors were microsatellite-stable, and the median mutational burden was 1.8. Alterations involved mainly the mTOR/PTEN/TSC pathway (30%). No relationship was associated with PRRT response. Conclusion: Our interim analysis confirmed that PPQ is an accurate predictor of 177Lu-DOTATATE responsiveness (radiosensitivity) and that NETest changes accurately correlated with treatment response. Tissue-based molecular genetic information had little value in PRRT prediction. Blood-based gene signatures may improve the management of patients undergoing 177Lu-DOTATATE by providing information on tumor radiosensitivity and disease course, thus allowing individualized strategies.
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Affiliation(s)
- Lisa Bodei
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York;
- Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Nitya Raj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; and
| | - Richard K Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Audrey Mauguen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Simone Krebs
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Diane Reidy-Lagunes
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; and
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology, Weill Cornell Medical College, New York, New York
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13
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Emerging Immunotherapeutic and Diagnostic Modalities in Carcinoid Tumors. Molecules 2023; 28:molecules28052047. [PMID: 36903295 PMCID: PMC10004351 DOI: 10.3390/molecules28052047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/26/2023] [Accepted: 02/08/2023] [Indexed: 02/25/2023] Open
Abstract
Evasion of innate immunity represents a frequently employed method by which tumor cells survive and thrive. Previously, the development of immunotherapeutic agents capable of overcoming this evasion has realized pronounced clinical utility across a variety of cancer types. More recently, immunological strategies have been investigated as potentially viable therapeutic and diagnostic modalities in the management of carcinoid tumors. Classic treatment options for carcinoid tumors rely upon surgical resection or non-immune pharmacology. Though surgical intervention can be curative, tumor characteristics, such as size, location, and spread, heavily limit success. Non-immune pharmacologic treatments can be similarly limited, and many demonstrate problematic side effects. Immunotherapy may be able to overcome these limitations and further improve clinical outcomes. Similarly, emerging immunologic carcinoid biomarkers may improve diagnostic capabilities. Recent developments in immunotherapeutic and diagnostic modalities of carcinoid management are summarized here.
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14
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Komarnicki P, Musiałkiewicz J, Stańska A, Maciejewski A, Gut P, Mastorakos G, Ruchała M. Circulating Neuroendocrine Tumor Biomarkers: Past, Present and Future. J Clin Med 2022; 11:jcm11195542. [PMID: 36233409 PMCID: PMC9570647 DOI: 10.3390/jcm11195542] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/12/2022] [Accepted: 09/19/2022] [Indexed: 11/17/2022] Open
Abstract
Neuroendocrine tumors are a heterogeneous group of neoplasms originating from the diffuse endocrine system. Depending on primary location and hormonal status, they range in terms of clinical presentation, prognosis and treatment. Functional tumors often develop symptoms indicating an excess of hormones produced by the neoplasm (exempli gratia insulinoma, glucagonoma and VIPoma) and can be diagnosed using monoanalytes. For non-functional tumors (inactive or producing insignificant amounts of hormones), universal biomarkers have not been established. The matter remains an important unmet need in the field of neuroendocrine tumors. Substances researched over the years, such as chromogranin A and neuron-specific enolase, lack the desired sensitivity and specificity. In recent years, the potential use of Circulating Tumor Cells or multianalytes such as a circulating microRNA and NETest have been widely discussed. They offer superior diagnostic parameters in comparison to traditional biomarkers and depict disease status in a more comprehensive way. Despite a lot of promise, no international standards have yet been developed regarding their routine use and clinical application. In this literature review, we describe the analytes used over the years and cover novel biomarkers that could find a use in the future. We discuss their pros and cons while showcasing recent advances in the field of neuroendocrine tumor biomarkers.
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Affiliation(s)
- Paweł Komarnicki
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 60-355 Poznań, Poland
- Correspondence: ; Tel.: +48-511-912-072
| | - Jan Musiałkiewicz
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 60-355 Poznań, Poland
| | - Alicja Stańska
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 60-355 Poznań, Poland
| | - Adam Maciejewski
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 60-355 Poznań, Poland
| | - Paweł Gut
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 60-355 Poznań, Poland
| | - George Mastorakos
- Unit of Endocrinology, Diabetes Mellitus and Metabolism, Aretaieion University Hospital, Medical School, National and Kapodistrian University of Athens, 157 72 Athens, Greece
| | - Marek Ruchała
- Department of Endocrinology, Metabolism and Internal Diseases, Poznan University of Medical Sciences, 60-355 Poznań, Poland
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15
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Chiapponi C, Bruns CJ. [Modern molecular and imaging diagnostics in pancreatic neuroendocrine neoplasms]. CHIRURGIE (HEIDELBERG, GERMANY) 2022; 93:731-738. [PMID: 35913626 DOI: 10.1007/s00104-022-01645-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/20/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVE New molecular diagnostic and radiologic imaging techniques can be used to assess the extent, risk of recurrence, prognosis and response to treatment of pancreatic neuroendocrine neoplasms (pNENs). They therefore represent a decisive help in setting the indications for surgical treatment, especially in advanced stages. METHODS This article presents a narrative assessment of the options and evidence for modern molecular and radiologic imaging diagnostics of pNENs based on the current literature. RESULTS While circulating DNA, circulating tumor cells and microRNAs have not yet become established in everyday clinical practice, the current literature suggests a promising role for the so-called NETest. Recent studies demonstrated its possible importance for the surgical management of pNENs. Besides [68Ga]Ga-DOTA-SSA-PET and [18]FDG-PET, which remain the gold standards for imaging NENs, radiomics represent an exciting alternative to biopsies and will possibly play an increasingly important role in the future. DISCUSSION There are new promising alternatives to chromogranin A, which has been clinically widespread since the 1970s despite several drawbacks, to map the extent, risk of recurrence, prognosis and response to treatment of pancreatic pNENs. In terms of personalized medicine, modern molecular and radiological diagnostics should play an increasing role for indicating and planning surgical treatment and for follow-up in the future.
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Affiliation(s)
- Costanza Chiapponi
- Klinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.
| | - Christiane J Bruns
- Klinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland
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16
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Kaliszewski K, Ludwig M, Greniuk M, Mikuła A, Zagórski K, Rudnicki J. Advances in the Diagnosis and Therapeutic Management of Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NENs). Cancers (Basel) 2022; 14:2028. [PMID: 35454934 PMCID: PMC9030061 DOI: 10.3390/cancers14082028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/10/2022] [Accepted: 04/14/2022] [Indexed: 02/07/2023] Open
Abstract
Neuroendocrine neoplasms (NENs) are an increasingly common cause of neoplastic diseases. One of the largest groups of NENs are neoplasms localized to the gastroenteropancreatic system, which are known as gastroenteropancreatic NENs (GEP-NENs). Because of nonspecific clinical symptoms, GEP-NEN patient diagnosis and, consequently, their treatment, might be difficult and delayed. This situation has forced researchers all over the world to continue progress in the diagnosis and treatment of patients with GEP-NENs. Our review is designed to present the latest reports on the laboratory diagnostic techniques, imaging tests and surgical and nonsurgical treatment strategies used for patients with these rare neoplasms. We paid particular attention to the nuclear approach, the use of which has been applied to GEP-NEN patient diagnosis, and to nonsurgical and radionuclide treatment strategies. Recent publications were reviewed in search of reports on new strategies for effective disease management. Attention was also paid to those studies still in progress, but with successful results. A total of 248 papers were analyzed, from which 141 papers most relevant to the aim of the study were selected. Using these papers, we highlight the progress in the development of diagnostic and treatment strategies for patients with GEP-NENs.
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Affiliation(s)
- Krzysztof Kaliszewski
- Department of General, Minimally Invasive and Endocrine Surgery, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, Poland; (M.L.); (M.G.); (A.M.); (K.Z.); (J.R.)
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17
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Fang JM, Li J, Shi J. An update on the diagnosis of gastroenteropancreatic neuroendocrine neoplasms. World J Gastroenterol 2022; 28:1009-1023. [PMID: 35431496 PMCID: PMC8968521 DOI: 10.3748/wjg.v28.i10.1009] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/26/2021] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) arise from neuroendocrine cells found throughout the gastrointestinal tract and islet cells of the pancreas. The incidence and prevalence of GEP-NENs have been increasing each year due to higher awareness, improved diagnostic modalities, and increased incidental detection on cross-sectional imaging and endoscopy for cancer screening and other conditions and symptoms. GEP-NENs are a heterogeneous group of tumors and have a wide range in clinical presentation, histopathologic features, and molecular biology. Clinical presentation most commonly depends on whether the GEP-NEN secretes an active hormone. The World Health Organization recently updated the classification of GEP-NENs to introduce a distinction between high-grade neuroendocrine tumors and neuroendocrine carcinomas, which can be identified using histology and molecular studies and are more aggressive with a worse prognosis compared to high-grade neuroendocrine tumors. As our understanding of the biology of GEP-NENs has grown, new and improved diagnostic modalities can be developed and optimized. Here, we discuss clinical features and updates in diagnosis, including histopathological analysis, biomarkers, molecular techniques, and radiology of GEP-NENs. We review established diagnostic tests and discuss promising novel diagnostic tests that are currently in development or require further investigation and validation prior to broad utilization in patient care.
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Affiliation(s)
- Jiayun M Fang
- Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI 48109, United States
| | - Jay Li
- Medical Scientist Training Program, University of Michigan, Ann Arbor, MI 48109, United States
| | - Jiaqi Shi
- Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI 48109, United States
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18
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Lee L, Ramos-Alvarez I, Jensen RT. Predictive Factors for Resistant Disease with Medical/Radiologic/Liver-Directed Anti-Tumor Treatments in Patients with Advanced Pancreatic Neuroendocrine Neoplasms: Recent Advances and Controversies. Cancers (Basel) 2022; 14:cancers14051250. [PMID: 35267558 PMCID: PMC8909561 DOI: 10.3390/cancers14051250] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/08/2022] [Accepted: 02/23/2022] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Tumor resistance, both primary and acquired, is leading to increased complexity in the nonsurgical treatment of patients with advanced panNENs, which would be greatly helped by reliable prognostic/predictive factors. The importance in identifying resistance is being contributed to by the increased array of possible treatments available for treating resistant advanced disease; the variable clinical course as well as response to any given treatment approach of patients within one staging or grading system, the advances in imaging which are providing increasing promising results/parameters that correlate with grading/outcome/resistance, the increased understanding of the molecular pathogenesis providing promising prognostic markers, all of which can contribute to selecting the best treatment to overcome resistance disease. Several factors have been identified that have prognostic/predictive value for identifying development resistant disease and affecting overall survival (OS)/PFS with various nonsurgical treatments of patients with advanced panNENs. Prognostic factors identified for patients with advanced panNENs for both OS/PFSs include various clinically-related factors (clinical, laboratory/biological markers, imaging, treatment-related factors), pathological factors (histological, classification, grading) and molecular factors. Particularly important prognostic factors for the different treatment modalities studies are the recent grading systems. Most prognostic factors for each treatment modality for OS/PFS are not specific for a given treatment option. These advances have generated several controversies and new unanswered questions, particularly those related to their possible role in predicting the possible sequence of different anti-tumor treatments in patients with different presentations. Each of these areas is reviewed in this paper. Abstract Purpose: Recent advances in the diagnosis, management and nonsurgical treatment of patients with advanced pancreatic neuroendocrine neoplasms (panNENs) have led to an emerging need for sensitive and useful prognostic factors for predicting responses/survival. Areas covered: The predictive value of a number of reported prognostic factors including clinically-related factors (clinical/laboratory/imaging/treatment-related factors), pathological factors (histological/classification/grading), and molecular factors, on therapeutic outcomes of anti-tumor medical therapies with molecular targeting agents (everolimus/sunitinib/somatostatin analogues), chemotherapy, radiological therapy with peptide receptor radionuclide therapy, or liver-directed therapies (embolization/chemoembolization/radio-embolization (SIRTs)) are reviewed. Recent findings in each of these areas, as well as remaining controversies and uncertainties, are discussed in detail, particularly from the viewpoint of treatment sequencing. Conclusions: The recent increase in the number of available therapeutic agents for the nonsurgical treatment of patients with advanced panNENs have raised the importance of prognostic factors predictive for therapeutic outcomes of each treatment option. The establishment of sensitive and useful prognostic markers will have a significant impact on optimal treatment selection, as well as in tailoring the therapeutic sequence, and for maximizing the survival benefit of each individual patient. In the paper, the progress in this area, as well as the controversies/uncertainties, are reviewed.
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Affiliation(s)
- Lingaku Lee
- Digestive Diseases Branch, NIDDK, NIH, Bethesda, MD 20892-1804, USA; (L.L.); (I.R.-A.)
- National Kyushu Cancer Center, Department of Hepato-Biliary-Pancreatology, Fukuoka 811-1395, Japan
| | - Irene Ramos-Alvarez
- Digestive Diseases Branch, NIDDK, NIH, Bethesda, MD 20892-1804, USA; (L.L.); (I.R.-A.)
| | - Robert T. Jensen
- Digestive Diseases Branch, NIDDK, NIH, Bethesda, MD 20892-1804, USA; (L.L.); (I.R.-A.)
- Correspondence: ; Tel.: +1-301-496-4201
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19
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Update on Epidemiology, Diagnosis, and Biomarkers in Gastroenteropancreatic Neuroendocrine Neoplasms. Cancers (Basel) 2022; 14:cancers14051119. [PMID: 35267427 PMCID: PMC8909424 DOI: 10.3390/cancers14051119] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 02/17/2022] [Accepted: 02/21/2022] [Indexed: 02/08/2023] Open
Abstract
Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are a heterogeneous group of malignancies that originate from the diffuse neuroendocrine cell system of the pancreas and gastrointestinal tract and have increasingly increased in number over the decades. GEP-NENs are roughly classified into well-differentiated neuroendocrine tumors and poorly differentiated neuroendocrine carcinomas; it is essential to understand the pathological classification according to the mitotic count and Ki67 proliferation index. In addition, with the advent of molecular-targeted drugs and somatostatin analogs and advances in endoscopic and surgical treatments, the multidisciplinary treatment of GEP-NENs has made great progress. In the management of GEP-NENs, accurate diagnosis is key for the proper selection among these diversified treatment methods. The evaluation of hormone-producing ability, diagnostic imaging, and histological diagnosis is central. Advances in the study of the genetic landscape have led to deeper understanding of tumor biology; it has also become possible to identify druggable mutations and predict therapeutic effects. Liquid biopsy, based on blood mRNA expression for GEP-NENs, has been developed, and is useful not only for early detection but also for assessing minimal residual disease after surgery and prediction of therapeutic effects. This review outlines the updates and future prospects of the epidemiology, diagnosis, and management of GEP-NENs.
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20
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Puliani G, Di Vito V, Feola T, Sesti F, Centello R, Pandozzi C, Tarsitano MG, Verrico M, Lenzi A, Isidori AM, Giannetta E, Faggiano A. NETest: A Systematic Review Focusing on the Prognostic and Predictive Role. Neuroendocrinology 2022; 112:523-536. [PMID: 34515175 DOI: 10.1159/000518873] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/02/2021] [Indexed: 11/19/2022]
Abstract
The NETest is a standardized and reproducible liquid biopsy for neuroendocrine tumors (NETs). It evaluates the expression of 51 NET genes by real-time polymerase chain reaction, providing an accurate molecular profile of the neoplasm. Diagnostic utility of NETest has been widely demonstrated, while its role in predicting prognosis and treatment response is less studied. This systematic review aims to collect and discuss the available evidence on the prognostic and predictive role of NETest, trying to answer 3 questions, frequently raised in clinical practice. Is NETest able to differentiate stable from progressive disease? Increased NETest levels (at least >40%) correlate with disease progression. Is NETest able to predict tumor progression and tumor response to treatment? Some studies demonstrated that the baseline NETest score >33-40% could predict tumor progression. Moreover, NETest performed after treatment (as peptide receptor radionuclide therapy) could predict treatment response also before radiological findings, since the decrease or stability of NETest score predicts tumor response to treatment. Is NETest able to evaluate tumor recurrence risk after surgery? NETest can predict surgical treatment outcome detecting minimal residual disease after radical surgery, which is characterized by a lower but positive NETest score (20-40%), while a higher score (>33-40%) is associated with nonradical surgery. In conclusion, in addition to its demonstrated diagnostic role, this systematic review highlights the efficacy of NETest to assess disease status at the moment of the NETest execution and to predict tumor recurrence after surgery. The efficacy for other applications should be proven by additional studies.
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Affiliation(s)
- Giulia Puliani
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
- Oncological Endocrinology Unit, IRCCS Regina Elena National Cancer institute, Rome, Italy
| | - Valentina Di Vito
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Tiziana Feola
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
- Neuroendocrinology, Neuromed Institute, IRCCS, Pozzilli, Italy
| | - Franz Sesti
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Roberta Centello
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Carla Pandozzi
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Monica Verrico
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Andrea Lenzi
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Andrea M Isidori
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Elisa Giannetta
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Antongiulio Faggiano
- Endocrinology Unit, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
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21
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Ciobanu OA, Martin S, Fica S. Perspectives on the diagnostic, predictive and prognostic markers of neuroendocrine neoplasms (Review). Exp Ther Med 2021; 22:1479. [PMID: 34765020 PMCID: PMC8576627 DOI: 10.3892/etm.2021.10914] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/23/2021] [Indexed: 12/15/2022] Open
Abstract
Neuroendocrine neoplasms (NENs) are a heterogeneous group of rare tumors with different types of physiology and prognosis. Therefore, prognostic information, including morphological differentiation, grade, tumor stage and primary location, are invaluable and contribute to the formulation of treatment decisions. Biomarkers that are currently used, including chromogranin A (CgA), serotonin and neuron-specific enolase, are singular parameters that cannot be used to accurately predict variables associated with tumor growth, including proliferation, metabolic rate and metastatic potential. In addition, site-specific biomarkers, such as insulin and gastrin, cannot be applied to all types of NENs. The clinical application of broad-spectrum markers, as it is the case for CgA, remains controversial despite being widely used. Due to limitations of the currently available mono-analyte biomarkers, recent studies were conducted to explore novel parameters for NEN diagnosis, prognosis, therapy stratification and evaluation of treatment response. Identification of prognostic factors for predicting NEN outcome is a critical requirement for the planning of adequate clinical management. Advances in ‘liquid’ biopsies and genomic analysis techniques, including microRNA, circulating tumor DNA or circulating tumor cells and sophisticated biomathematical analysis techniques, such as NETest or molecular image-based biomarkers, are currently under investigation as potentially novel tools for the management of NENs in the future. Despite these recent findings yielding promising observations, further research is necessary. The present review therefore summarizes the existing knowledge and recent advancements in the exploration of biochemical markers for NENs, with focus on gastroenteropancreatic-neuroendocrine tumors.
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Affiliation(s)
- Oana Alexandra Ciobanu
- Department of Endocrinology and Diabetes, Elias Hospital, 011461 Bucharest, Romania.,Department of Endocrinology, Carol Davila University of Medicine and Pharmacy, 20021 Bucharest, Romania
| | - Sorina Martin
- Department of Endocrinology and Diabetes, Elias Hospital, 011461 Bucharest, Romania.,Department of Endocrinology, Carol Davila University of Medicine and Pharmacy, 20021 Bucharest, Romania
| | - Simona Fica
- Department of Endocrinology and Diabetes, Elias Hospital, 011461 Bucharest, Romania.,Department of Endocrinology, Carol Davila University of Medicine and Pharmacy, 20021 Bucharest, Romania
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Rinke A, Auernhammer CJ, Bodei L, Kidd M, Krug S, Lawlor R, Marinoni I, Perren A, Scarpa A, Sorbye H, Pavel ME, Weber MM, Modlin I, Gress TM. Treatment of advanced gastroenteropancreatic neuroendocrine neoplasia, are we on the way to personalised medicine? Gut 2021; 70:1768-1781. [PMID: 33692095 DOI: 10.1136/gutjnl-2020-321300] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 02/03/2021] [Accepted: 02/08/2021] [Indexed: 12/14/2022]
Abstract
Gastroenteropancreatic neuroendocrine neoplasia (GEPNEN) comprises clinically as well as prognostically diverse tumour entities often diagnosed at late stage. Current classification provides a uniform terminology and a Ki67-based grading system, thereby facilitating management. Advances in the study of genomic and epigenetic landscapes have amplified knowledge of tumour biology and enhanced identification of prognostic and potentially predictive treatment subgroups. Translation of this genomic and mechanistic biology into advanced GEPNEN management is limited. 'Targeted' treatments such as somatostatin analogues, peptide receptor radiotherapy, tyrosine kinase inhibitors and mammalian target of rapamycin inhibitors are treatment options but predictive tools are lacking. The inability to identify clonal heterogeneity and define critical oncoregulatory pathways prior to therapy, restrict therapeutic efficacy as does the inability to monitor disease status in real time. Chemotherapy in the poor prognosis NEN G3 group, though associated with acceptable response rates, only leads to short-term tumour control and their molecular biology requires delineation to provide new and more specific treatment options.The future requires an exploration of the NEN tumour genome, its microenvironment and an identification of critical oncologic checkpoints for precise drug targeting. In the advance to personalised medical treatment of patients with GEPNEN, clinical trials need to be based on mechanistic and multidimensional characterisation of each tumour in order to identify the therapeutic agent effective for the individual tumour.This review surveys advances in NEN research and delineates the current status of translation with a view to laying the basis for a genome-based personalised medicine management of advanced GEPNEN.
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Affiliation(s)
- Anja Rinke
- Department of Gastroenterology, Endocrinology, Metabolism and Infectiology, University Hospital Marburg and Philipps University, Marburg, Germany
| | - Christoph J Auernhammer
- Department of Internal Medicine IV and Interdisciplinary Center of Neuroendocrine Tumors of the GastroEnteroPancreatic System (GEPNET-KUM), Ludwig Maximilian University, LMU Klinikum, Munich, Germany
| | - Lisa Bodei
- Department of Radiology, Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Mark Kidd
- Wren Laboratories, Branford, Connecticut, USA
| | - Sebastian Krug
- Clinic for Internal Medicine I, Martin Luther University, Halle, Germany
| | - Rita Lawlor
- Applied Research on Cancer Centre, Department of Pathology and Diagnostics, University of Verona, Verona, Italy
| | - Ilaria Marinoni
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Aurel Perren
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Aldo Scarpa
- Applied Research on Cancer Centre, Department of Pathology and Diagnostics, University of Verona, Verona, Italy
| | - Halfdan Sorbye
- Department of Oncology, Haukeland University Hospital, Bergen, Norway
| | - Marianne Ellen Pavel
- Department of Internal Medicine I, Endocrinology, University of Erlangen, Erlangen, Germany
| | - Matthias M Weber
- Department of Internal Medicine I, Endocrinology, Johannes Gutenberg University Hospital Mainz, Mainz, Germany
| | - Irvin Modlin
- Gastroenterological and Endoscopic Surgery, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Thomas M Gress
- Department of Gastroenterology, Endocrinology, Metabolism and Infectiology, University Hospital Marburg and Philipps University, Marburg, Germany
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Silosky MS, Patten LW, Chin BB. Small target repeatability of 68Ga and 18F: effects of target concentration and imaging time on SUV measurements in clinically relevant phantoms. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2021; 11:280-289. [PMID: 34513281 PMCID: PMC8414403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/14/2021] [Indexed: 06/13/2023]
Abstract
Quantification of tumor uptake using PET imaging is important for the evaluation of therapy response. For 18F FDG PET scans, a change in uptake of 25% is commonly considered significant. For scans using novel radiopharmaceuticals, the threshold of significance is unclear. Factors including imaging time, tumor size, activity concentration, and radiopharmaceutical may affect the repeatablity of uptake metrics. This work evaluates the effect of these parameters on the repeatablity of maximum SUV (SUVmax) and mean SUV (SUVmean) in phantoms using 18F and 68Ga. An Esser PET phantom (Data Spectrum, Durham NC) was scanned on a Biograph Horizon PET/CT scanner (Siemens Medical Solutions, Malvern PA) using 18F and 68Ga. Data were acquired for 5 minutes with reconstructions between 0.5-5 minutes. The background activity mimicked clinical scans with target-to-background (T/B) ratios from 1.7-19.8. The SUVmax and SUVmean were measured for 5 slices. The mean, standard deviation, and coefficient of variation (COV) were calculated. The effects of radionuclide, imaging time, activity concentration, and target size on COV were evaluated using multivariate gamma regressions. COV for 68Ga was 40% higher and 54% higher on average than for 18F for SUVmax and SUVmean, respectively. Decreased lesion size, imaging time, and activity concentration were significantly associated with increased COV for both metrics (P < 0.001). COV was substantially reduced at high T/B for 68Ga. At the highest T/B the COV for SUVmax and SUVmean was within the typical range seen for 18F. COV is relatively high for small targets (8 mm) but is dramatically reduced with high radiotracer uptake.
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Affiliation(s)
- Michael S Silosky
- Department of Radiology, University of Colorado Anschutz Medical CampusAurora, CO 80045, USA
| | - Luke W Patten
- Department of Biostatistics and Informatics, University of Colorado Anschutz Medical CampusAurora, CO 80045, USA
| | - Bennett B Chin
- Department of Radiology, University of Colorado Anschutz Medical CampusAurora, CO 80045, USA
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24
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Modlin IM, Kidd M, Falconi M, Filosso PL, Frilling A, Malczewska A, Toumpanakis C, Valk G, Pacak K, Bodei L, Öberg KE. A multigenomic liquid biopsy biomarker for neuroendocrine tumor disease outperforms CgA and has surgical and clinical utility. Ann Oncol 2021; 32:1425-1433. [PMID: 34390828 DOI: 10.1016/j.annonc.2021.08.1746] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/30/2021] [Accepted: 08/06/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Biomarkers are key tools in cancer management. In neuroendocrine tumors (NETs), Chromogranin A (CgA) was considered acceptable as a biomarker. We compared the clinical efficacy of a multigenomic blood biomarker (NETest) to CgA over a 5-year period. PATIENTS AND METHODS An observational, prospective, cross-sectional, multicenter, multinational, comparative cohort assessment. Cohort 1: NETest evaluation in NETs (n = 1684) and cancers, benign diseases, controls (n = 731). Cohort 2: (n = 1270): matched analysis of NETest/CgA in a sub-cohort of NETs (n = 922) versus other diseases and controls (n = 348). Disease status was assessed by response evaluation criteria in solid tumors (RECIST). NETest measurement: qPCR [upper limit of normal (ULN: 20)], CgA (EuroDiagnostica, ULN: 108 ng/ml). STATISTICS Mann-Whitney U-test, AUROC, chi-square and McNemar' test. RESULTS Cohort 1: NETest diagnostic accuracy was 91% (P < 0.0001) and identified pheochromocytomas (98%), small intestine (94%), pancreas (91%), lung (88%), gastric (80%) and appendix (79%). NETest reflected grading: G1: 40 ± 1, G2 (50 ± 1) and G3 (52 ± 1). Locoregional disease levels were lower (38 ± 1) than metastatic (52 ± 1, P < 0.0001). NETest accurately stratified RECIST-assessed disease extent: no disease (21 ± 1), stable (43 ± 2), progressive (62 ± 2) (P < 0.0001). NETest concordance with imaging (CT/MRI/68Ga-SSA-PET) 91%. Presurgery, all NETs (n = 153) were positive (100%). After palliative R1/R2 surgery (n = 51) all (100%) remained elevated. After curative R0-surgery (n = 102), NETest levels were normal in 81 (70%) with no recurrence at 2 years. In the 31 (30%) with elevated levels, 25 (81%) recurred within 2 years. Cohort #2: NETest diagnostic accuracy was 87% and CgA 54% (P < 0.0001). NETest was more accurate than CgA for grading (chi-square = 7.7, OR = 18.5) and metastatic identification (chi-square = 180, OR = 8.4). NETest identified progressive disease (95%) versus CgA (57%, P < 0.0001). Imaging concordance for NETest was 91% versus CgA (46%) (P < 0.0001). Recurrence prediction after surgery was NETest-positive in >94% versus CgA 11%. CONCLUSION NETest accurately diagnoses NETs and is an effective surrogate marker for imaging, grade, metastases and disease status compared to CgA. A multigenomic liquid biopsy is an accurate biomarker of NET disease.
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Affiliation(s)
- I M Modlin
- Department of Surgery, Yale University School of Medicine, New Haven, USA
| | - M Kidd
- Wren Laboratories, Branford, USA
| | - M Falconi
- Department of Surgery, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - P L Filosso
- Department of Surgical Sciences, Università degli Studi di Torino, Turin, Italy
| | - A Frilling
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - A Malczewska
- Department of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice, Poland
| | - C Toumpanakis
- Neuroendocrine Tumour Unit, Royal Free Hospital, London, UK
| | - G Valk
- Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, Netherlands
| | - K Pacak
- Medical Neuroendocrinology, National Institutes of Health, Bethesda, USA
| | - L Bodei
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - K E Öberg
- Department of Endocrine Oncology, University Hospital, Uppsala, Sweden.
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25
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Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy. Ann Surg 2021; 274:481-490. [PMID: 34183517 DOI: 10.1097/sla.0000000000005026] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Identification of residual disease after neuroendocrine tumor (NET) resection is critical for management. Post-surgery imaging is insensitive, expensive, and current biomarkers ineffective. We evaluated whether the NETest, a multigene liquid biopsy blood biomarker, correlated with surgical resection and could predict recurrence. METHODS Multicenter evaluation of NET resections over 24 months (n = 103): 47 pancreas, 26 small bowel, 26 lung, 2 appendix, 1 duodenum, 1 stomach. Surgery: R0 (83), R1/R2 (20). One millilitre of blood was collected at D0 and posroperative day (POD) 30. Transcript quantification by polymerase chain reaction (normal: ≤20), CgA by NEOLISA (normal ≤108 ng/mL). Standard-of-care (SoC) follow-up costs were calculated and compared to POD30 NETest-stratification approach. Analyses: Wilcoxon-paired test, Chi-square test. RESULTS D BIOMARKERS NETest: 103 of 103 (100%)-positive, whereas 23 of 103 (22%) were CgA-positive (Chi-square = 78, P < 0.0001).In the R0 group, the NETest decreased 59 ± 28 to 26 ± 23 (P < 0.0001); 36% (30/83) remained elevated. No significant decrease was evident for CgA. In the R1/R2 group the NETest decreased but 100% remained elevated. CgA levels did not decrease.An elevated POD30 NETest was present in R0 and 25 (83%) developed radiological recurrences. Normal score R0 s (n = 53) did not develop recurrence (Chi-square = 56, P < 0.0001). Recurrence prediction was 94% accurate with the NETest. COST EVALUATION Using the NETest to stratify postoperative imaging resulted in a cost-savings of 42%. CONCLUSION NETest diagnosis is more accurate than CgA (100% vs 22%). Surgery significantly decreased NETest. An elevated POD30 NETest predicted recurrence with 94% accuracy and post-surgical POD30 NETest follow-up stratification decreased costs by 42%. CgA had no surgical utility. Further studies would define the accuracy and cost-effectiveness of the NETest in the detection of postoperative recurrent disease.
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26
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Filosso PL, Öberg K, Malczewska A, Lewczuk A, Roffinella M, Aslanian H, Bodei L. Molecular identification of bronchopulmonary neuroendocrine tumours and neuroendocrine genotype in lung neoplasia using the NETest liquid biopsy. Eur J Cardiothorac Surg 2021; 57:1195-1202. [PMID: 32047924 PMCID: PMC8325497 DOI: 10.1093/ejcts/ezaa018] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 11/22/2019] [Accepted: 12/17/2019] [Indexed: 12/22/2022] Open
Affiliation(s)
| | - Kjell Öberg
- Department of Endocrine Oncology, University Hospital, Uppsala, Sweden
| | - Anna Malczewska
- Department of Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Anna Lewczuk
- Department of Medicine, Endocrinology Unit, Medical University of Gdansk, Gdansk, Poland
| | | | - Harry Aslanian
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Lisa Bodei
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Modlin IM, Kidd M, Oberg K, Falconi M, Filosso PL, Frilling A, Malczewska A, Salem R, Toumpanakis C, Laskaratos FM, Partelli S, Roffinella M, von Arx C, Kudla BK, Bodei L, Drozdov IA, Kitz A. Early Identification of Residual Disease After Neuroendocrine Tumor Resection Using a Liquid Biopsy Multigenomic mRNA Signature (NETest). Ann Surg Oncol 2021; 28:7506-7517. [PMID: 34008138 DOI: 10.1245/s10434-021-10021-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 03/31/2021] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Surgery is the only cure for neuroendocrine tumors (NETs), with R0 resection being critical for successful tumor removal. Early detection of residual disease is key for optimal management, but both imaging and current biomarkers are ineffective post-surgery. NETest, a multigene blood biomarker, identifies NETs with >90% accuracy. We hypothesized that surgery would decrease NETest levels and that elevated scores post-surgery would predict recurrence. METHODS This was a multicenter evaluation of surgically treated primary NETs (n = 153). Blood sampling was performed at day 0 and postoperative day (POD) 30. Follow-up included computed tomography/magnetic resonance imaging (CT/MRI), and messenger RNA (mRNA) quantification was performed by polymerase chain reaction (PCR; NETest score: 0-100; normal ≤20). Statistical analyses were performed using the Mann-Whitney U-test, Chi-square test, Kaplan-Meier survival, and area under the receiver operating characteristic curve (AUROC), as appropriate. Data are presented as mean ± standard deviation. RESULTS The NET cohort (n = 153) included 57 patients with pancreatic cancer, 62 patients with small bowel cancer, 27 patients with lung cancer, 4 patients with duodenal cancer, and 3 patients with gastric cancer, while the surgical cohort comprised patients with R0 (n = 102) and R1 and R2 (n = 51) resection. The mean follow-up time was 14 months (range 3-68). The NETest was positive in 153/153 (100%) samples preoperatively (mean levels of 68 ± 28). In the R0 cohort, POD30 levels decreased from 62 ± 28 to 22 ± 20 (p < 0.0001), but remained elevated in 30% (31/102) of patients: 28% lung, 29% pancreas, 27% small bowel, and 33% gastric. By 18 months, 25/31 (81%) patients with a POD30 NETest >20 had image-identifiable recurrence. An NETest score of >20 predicted recurrence with 100% sensitivity and correlated with residual disease (Chi-square 17.1, p < 0.0001). AUROC analysis identified an AUC of 0.97 (p < 0.0001) for recurrence-prediction. In the R1 (n = 29) and R2 (n = 22) cohorts, the score decreased (R1: 74 ± 28 to 45 ± 24, p = 0.0012; R2: 72 ± 24 to 60 ± 28, p = non-significant). At POD30, 100% of NETest scores were elevated despite surgery (p < 0.0001). CONCLUSION The preoperative NETest accurately identified all NETs (100%). All resections decreased NETest levels and a POD30 NETest score >20 predicted radiologically recurrent disease with 94% accuracy and 100% sensitivity. R0 resection appears to be ineffective in approximately 30% of patients. NET mRNA blood levels provide early objective genomic identification of residual disease and may facilitate management.
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Affiliation(s)
| | - Mark Kidd
- Wren Laboratories, Branford, CT, USA
| | | | | | | | | | | | - Ronald Salem
- Yale University School of Medicine, New Haven, CT, USA
| | | | | | | | | | | | | | - Lisa Bodei
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Roll W, Weckesser M, Seifert R, Bodei L, Rahbar K. Imaging and liquid biopsy in the prediction and evaluation of response to PRRT in neuroendocrine tumors: implications for patient management. Eur J Nucl Med Mol Imaging 2021; 48:4016-4027. [PMID: 33903926 PMCID: PMC8484222 DOI: 10.1007/s00259-021-05359-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 04/05/2021] [Indexed: 12/16/2022]
Abstract
Purpose The aim of this narrative review is to give an overview on current and emerging imaging methods and liquid biopsy for prediction and evaluation of response to PRRT. Current limitations and new perspectives, including artificial intelligence, are discussed. Methods A literature review of PubMed/Medline was performed with representative keywords. The search included articles published online through August 31, 2020. All searches were restricted to English language manuscripts. Results Peptide radio receptor therapy (PRRT) is a prospectively evaluated and approved therapy option in neuroendocrine tumors (NETs). Different ligands targeting the somatostatin receptor (SSTR) are used as theranostic pairs for imaging NET and for PRRT. Response assessment in prospective trials often relies on the morphological RECIST 1.1 criteria, based on lesion size in CT or MRI. The role of SSTR-PET and quantitative uptake parameters and volumetric data is still not defined. Monoanalyte tumor marker chromogranin A has a limited value for response assessment after PRRT. New emerging liquid biopsy techniques are offering prediction of response to PRRT and prognostic value. Conclusions New response criteria for NET patients undergoing PRRT will comprise multiparametric hybrid imaging and blood-based multianalyte markers. This represents tumor biology and heterogeneity.
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Affiliation(s)
- Wolfgang Roll
- Department of Nuclear Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.,West German Cancer Center, Muenster and Essen, Essen, Germany
| | - Matthias Weckesser
- Department of Nuclear Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.,West German Cancer Center, Muenster and Essen, Essen, Germany
| | - Robert Seifert
- Department of Nuclear Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.,West German Cancer Center, Muenster and Essen, Essen, Germany.,Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Lisa Bodei
- Department of Nuclear Medicine, Radiology, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Kambiz Rahbar
- Department of Nuclear Medicine, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany. .,West German Cancer Center, Muenster and Essen, Essen, Germany.
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Effraimidis G, Knigge U, Rossing M, Oturai P, Rasmussen ÅK, Feldt-Rasmussen U. Multiple endocrine neoplasia type 1 (MEN-1) and neuroendocrine neoplasms (NENs). Semin Cancer Biol 2021; 79:141-162. [PMID: 33905872 DOI: 10.1016/j.semcancer.2021.04.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 01/03/2021] [Accepted: 04/16/2021] [Indexed: 12/14/2022]
Abstract
Neuroendocrine neoplasms (NENs) are relatively rare neoplasms with 6.4-times increasing age-adjusted annual incidence during the last four decades. NENs arise from neuroendocrine cells, which release hormones in response to neuronal stimuli and they are distributed into organs and tissues. The presentation and biological behaviour of the NENs are highly heterogeneous, depending on the organ. The increased incidence is mainly due to increased awareness and improved detection methods both in the majority of sporadic NENs (non-inherited), but also the inherited groups of neoplasms appearing in at least ten genetic syndromes. The most important one is multiple endocrine neoplasia type 1 (MEN-1), caused by mutations in the tumour suppressor gene MEN1. MEN-1 has been associated with different tumour manifestations of NENs e.g. pancreas, gastrointestinal tract, lungs, thymus and pituitary. Pancreatic NENs tend to be less aggressive when arising in the setting of MEN-1 compared to sporadic pancreatic NENs. There have been very important improvements over the past years in both genotyping, genetic counselling and family screening, introduction and validation of various relevant biomarkers, as well as newer imaging modalities. Alongside this development, both medical, surgical and radionuclide treatments have also advanced and improved morbidity, quality of life and mortality in many of these patients. Despite this progress, there is still space for improving insight into the genetic and epigenetic factors in relation to the biological mechanisms determining NENs as part of MEN-1. This review gives a comprehensive update of current evidence for co-occurrence, diagnosis and treatment of MEN-1 and neuroendocrine neoplasms and highlight the important progress now finding its way to international guidelines in order to improve the global management of these patients.
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Affiliation(s)
- Grigoris Effraimidis
- ENETS Neuroendocrine Tumor Centre of Excellence, Rigshospitalet, Copenhagen University Hospital, Denmark; Department of Medical Endocrinology and Metabolism, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Ulrich Knigge
- ENETS Neuroendocrine Tumor Centre of Excellence, Rigshospitalet, Copenhagen University Hospital, Denmark; Department of Medical Endocrinology and Metabolism, Rigshospitalet, Copenhagen University Hospital, Denmark; Department of Surgery and Transplantation, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Maria Rossing
- Centre for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Peter Oturai
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Åse Krogh Rasmussen
- ENETS Neuroendocrine Tumor Centre of Excellence, Rigshospitalet, Copenhagen University Hospital, Denmark; Department of Medical Endocrinology and Metabolism, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Ulla Feldt-Rasmussen
- ENETS Neuroendocrine Tumor Centre of Excellence, Rigshospitalet, Copenhagen University Hospital, Denmark; Department of Medical Endocrinology and Metabolism, Rigshospitalet, Copenhagen University Hospital, Denmark; Institute of Clinical Medicine, Faculty of Health Sciences, Copenhagen University, Denmark.
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30
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Frilling A, Clift AK, Frampton AE, Bomanji J, Kaemmerer D, Al-Nahhas A, Alsafi A, Kidd M, Modlin IM, Hoersch D, Baum RP. A combination of surgery, theranostics, and liquid biopsy - a personalised oncologic approach to treatment of patients with advanced metastatic neuroendocrine neoplasms. Int J Med Sci 2021; 18:2166-2175. [PMID: 33859524 PMCID: PMC8040427 DOI: 10.7150/ijms.51740] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 01/14/2021] [Indexed: 01/29/2023] Open
Abstract
Rationale: Neuroendocrine neoplasia (NEN) of small bowel (SBNEN) frequently present with metastatic disease. Theranostics (molecular imaging followed by targeting therapy) allow for personalised medicine. Liquid biopsies enable precise identification of residual disease and real-time monitoring of therapeutic response. Our aim was to determine the clinical utility of a combination of surgery, theranostics, and a multigene blood measurement in metastasised SBNEN. Methods: Inclusion criteria were SBNEN, G1/G2 NEN, initial tumour diagnosis, stage IV NEN, positivity on 68Ga somatostatin analogue PET/CT, eligible for surgery, and 177Lu peptide receptor radionuclide therapy (PRRT). Blood samples for NETest were collected longitudinally. Progression-free survival (PFS) and overall survival (OS) were calculated. NETest results were assessed prior to surgery and during clinical follow-up. Results: A surgical cohort of 39 SBNEN patients met eligibility criteria. Thirty-two patients underwent ileal resection and 7 right hemicolectomy. The mean number of 177Lu PRRT cycles was 4. Mortality was nil. Surgical morbidity was 10.3%. Transient grade 1/2 toxicity occurred in 41% (PRRT). NETest scores (n=9 patients) decreased in 100% following treatment and correlated with diminished tumour volume and disease stabilization following surgery and PRRT. Median follow-up: 78 months. Median PFS and OS: 42.7 and 110 months, respectively. Progression-free survival at 1-, 3-, and 5-years was 79.4%, 57.1% and 40.5%, respectively. Overall survival at 1-, 3-, and 5-years was 97.4%, 97.4%, and 94.1%, respectively. Conclusions: Surgery combined with 177Lu PRRT is safe and provides favourable PFS and OS in selected patients with advanced SBNEN. Liquid biopsy (NETest) has the potential to accurately delineate disease status.
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Affiliation(s)
- Andrea Frilling
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Ashley K. Clift
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Adam E. Frampton
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Jamshed Bomanji
- Department of Nuclear Medicine, University College London Hospitals, London, UK
| | - Daniel Kaemmerer
- Department of General and Visceral Surgery, Zentralklinik Bad Berka, Bad Berka, Germany
| | - Adil Al-Nahhas
- Department of Imaging and Nuclear Medicine, Imperial College London, London, UK
| | - Ali Alsafi
- Department of Imaging and Nuclear Medicine, Imperial College London, London, UK
| | | | - Irvin M. Modlin
- Gastroenterological and Endoscopic Surgery, Yale University School of Medicine, New Haven, USA
| | - Dieter Hoersch
- Department of Gastroenterology/Endocrinology, Zentralklinik Bad Berka, Bad Berka, Germany
| | - Richard P. Baum
- CURANOSTICUM Wiesbaden-Frankfurt at DKD Helios Klinik, Wiesbaden, Germany
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Malczewska A, Oberg K, Kos-Kudla B. NETest is superior to chromogranin A in neuroendocrine neoplasia: a prospective ENETS CoE analysis. Endocr Connect 2021; 10:110-123. [PMID: 33289691 PMCID: PMC7923057 DOI: 10.1530/ec-20-0417] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Accepted: 12/03/2020] [Indexed: 12/16/2022]
Abstract
INTRODUCTION The absence of a reliable, universal biomarker is a significant limitation in neuroendocrine neoplasia (NEN) management. We prospectively evaluated two CgA assays, (NEOLISA, EuroDiagnostica) and (CgA ELISA, Demeditec Diagnostics (DD)) and compared the results to the NETest. METHODS NEN cohort (n = 258): pancreatic, n = 67; small intestine, n = 40; appendiceal, n = 10; rectal, n = 45; duodenal, n = 9; gastric, n = 44; lung, n = 43. Image-positive disease (IPD) (n = 123), image & histology- negative (IND) (n = 106), and image-negative and histology positive (n = 29). CgA metrics: NEOLISA, ULN: 108 ng/mL, DD: ULN: 99 ng/mL. Data mean ± s.e.m. NETest: qRT-PCR - multianalyte analyses, ULN: 20. All samples de-identified and assessed blinded. Statistics: Mann-Whitney U-test, Pearson correlation and McNemar-test. RESULTS CgA positive in 53/258 (NEOLISA), 32 (DD) and NETest-positive in 157/258. In image- positive disease (IPD, n = 123), NEOLISA-positive: 33% and DD: 19%. NETest-positive: 122/123 (99%; McNemar's Chi2= 79-97, P < 0.0001). NEOLISA was more accurate than DD (P = 0.0003). In image- negative disease (IND), CgA was NEOLISA-positive (11%), DD (8%), P = NS, and NETest (33%). CgA assays could not distinguish progressive (PD) from stable disease (SD) or localized from metastatic disease (MD). NETest was significantly higher in PD (47 ± 5) than SD (29 ± 1, P = 0.0009). NETest levels in MD (35 ± 2) were elevated vs localized disease (24 ± 1.3, P = 0.008). CONCLUSIONS NETest, a multigenomic mRNA biomarker, was ~99% accurate in the identification of NEN disease. The CgA assays detected NEN disease in 19-33%. Multigenomic blood analysis using NETest is more accurate than CgA and should be considered the biomarker standard of care.
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Affiliation(s)
- Anna Malczewska
- Department of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice, Poland
| | - Kjell Oberg
- Department of Endocrine Oncology, University Hospital, Uppsala, Sweden
| | - Beata Kos-Kudla
- Department of Endocrinology and Neuroendocrine Tumours, Medical University of Silesia, Katowice, Poland
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van Treijen MJC, van der Zee D, Heeres BC, Staal FCR, Vriens MR, Saveur LJ, Verbeek WHM, Korse CM, Maas M, Valk GD, Tesselaar MET. Blood Molecular Genomic Analysis Predicts the Disease Course of Gastroenteropancreatic Neuroendocrine Tumor Patients: A Validation Study of the Predictive Value of the NETest®. Neuroendocrinology 2021; 111:586-598. [PMID: 32492680 DOI: 10.1159/000509091] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 06/02/2020] [Indexed: 11/19/2022]
Abstract
Reliable prediction of disease status is a major challenge in managing gastroenteropancreatic neuroendocrine tumors (GEP-NETs). The aim of the study was to validate the NETest®, a blood molecular genomic analysis, for predicting the course of disease in individual patients compared to chromogranin A (CgA). NETest® score (normal ≤20%) and CgA level (normal <100 µg/L) were measured in 152 GEP-NETs. The median follow-up was 36 (4-56) months. Progression-free survival was blindly assessed (Response Evaluation Criteria in Solid Tumors [RECIST] version 1.1). Optimal cutoffs (area under the receiver operating characteristic curve [AUC]), odds ratios, as well as negative and positive predictive values (NPVs/PPVs) were calculated for predicting stable disease (SD) and progressive disease (PD). Of the 152 GEP-NETs, 86% were NETest®-positive and 52% CgA-positive. -NETest® AUC was 0.78 versus CgA 0.73 (p = ns). The optimal cutoffs for predicting SD/PD were 33% for the NETest® and 140 µg/L for CgA. Multivariate analyses identified NETest® as the strongest predictor for PD (odds ratio: 5.7 [score: 34-79%]; 12.6 [score: ≥80%]) compared to CgA (odds ratio: 3.0), tumor grade (odds ratio: 3.1), or liver metastasis (odds ratio: 7.7). The NETest® NPV for SD was 87% at 12 months. The PPV for PD was 47 and 64% (scores 34-79% and ≥80%, respectively). NETest® metrics were comparable in the watchful waiting, treatment, and no evidence of disease (NED) subgroups. For CgA (>140 ng/mL), NPV and PPV were 83 and 52%. CgA could not predict PD in the watchful waiting or NED subgroups. The NETest® reliably predicted SD and was the strongest predictor of PD. CgA had lower utility. The -NETest® anticipates RECIST-defined disease status up to 1 year before imaging alterations are apparent.
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Affiliation(s)
- Mark J C van Treijen
- Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, The Netherlands,
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands,
| | | | - Birthe C Heeres
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Femke C R Staal
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Menno R Vriens
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Endocrine Surgical Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lisette J Saveur
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Gastroenterology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wieke H M Verbeek
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Gastroenterology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Catharina M Korse
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Clinical Chemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Monique Maas
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Gerlof D Valk
- Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Margot E T Tesselaar
- Center for Neuroendocrine Tumors, ENETS Center of Excellence, Netherlands Cancer Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Medical Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Malczewska A, Witkowska M, Wójcik-Giertuga M, Kuśnierz K, Bocian A, Walter A, Rydel M, Robek A, Pierzchała S, Malczewska M, Leś-Zielińska I, Czyżewski D, Ziora D, Pilch-Kowalczyk J, Zajęcki W, Kos-Kudła B. Prospective Evaluation of the NETest as a Liquid Biopsy for Gastroenteropancreatic and Bronchopulmonary Neuroendocrine Tumors: An ENETS Center of Excellence Experience. Neuroendocrinology 2021; 111:304-319. [PMID: 32335553 DOI: 10.1159/000508106] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 04/21/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND There is a substantial unmet clinical need for an accurate and effective blood biomarker for neuroendocrine neoplasms (NEN). We therefore evaluated, under real-world conditions in an ENETS Center of Excellence (CoE), the clinical utility of the NETest as a liquid biopsy and compared its utility with chromogranin A (CgA) measurement. METHODS The cohorts were: gastroenteropancreatic NEN (GEP-NEN; n = 253), bronchopulmonary NEN (BPNEN; n = 64), thymic NEN (n = 1), colon cancer (n = 37), non-small-cell lung cancer (NSCLC; n = 63), benign lung disease (n = 59), and controls (n = 86). In the GEPNEN group, 164 (65%) had image-positive disease (IPD, n = 135) or were image-negative but resection-margin/biopsy-positive (n = 29), and were graded as G1 (n = 106), G2 (n = 49), G3 (n = 7), or no data (n = 2). The remainder (n = 71) had no evidence of disease (NED). In the BPNEN group, 43/64 (67%) had IPD. Histology revealed typical carcinoids (TC, n = 14), atypical carcinoids (AC, n = 14), small-cell lung cancer (SCLC, n = 11), and large-cell neuroendocrine carcinoma (LCNEC, n = 4). Disease status (stable or progressive) was evaluated according to RECIST v1.1. Blood sampling involved NETest (n = 563) and NETest/CgA analysis matched samples (n = 178). NETest was performed by PCR (on a scale of 0-100), with a score ≥20 reflecting a disease-positive status and >40 reflecting progressive disease. CgA positivity was determined by ELISA. Samples were deidentified and measurements blinded. The Kruskal-Wallis, Mann-Whitney U, and McNemar tests, and the area under the curve (AUC) of the receiver-operating characteristics (ROC) were used in the statistical analysis. RESULTS In the GEPNEN group, NETest was significantly higher (34.4 ± 1.8, p < 0.0001) in disease-positive patients than in patients with NED (10.5 ± 1, p < 0.0001), colon cancer patients (18 ± 4, p < 0.0004), and controls (7 ± 0.5, p < 0.0001). Sensitivity for detecting disease compared to controls was 89% and specificity was 94%. NETest levels were increased in G2 vs. G1 (39 ± 3 vs. 32 ± 2, p = 0.02) and correlated with stage (localized: 26 ± 2 vs. regional/distant: 40 ± 3, p = 0.0002) and progression (55 ± 5 vs. 34 ± 2 in stable disease, p = 0.0005). In the BPNEN group, diagnostic sensitivity was 100% and levels were significantly higher in patients with bronchopulmonary carcinoids (BPC; 30 ± 1.3) who had IPD than in controls (7 ± 0.5, p < 0.0001), patients with NED (24.1 ± 1.3, p < 0.005), and NSCLC patients (17 ± 3, p = 0.0001). NETest levels were higher in patients with poorly differentiated BPNEN (LCNEC + SCLC; 59 ± 7) than in those with BPC (30 ± 1.3, p = 0.0005) or progressive disease (57.8 ± 7), compared to those with stable disease (29.4 ± 1, p < 0.0001). The AUC for differentiating disease from controls was 0.87 in the GEPNEN group and 0.99 in BPC patients (p < 0.0001). Matched CgA analysis was performed in 178 patients. In the GEPNEN group (n = 135), NETest was significantly more accurate for detecting disease (99%) than CgA positivity (53%; McNemar test χ2 = 87, p < 0.0001). In the BPNEN group (n = 43), NETest was significantly more accurate for disease detection (100%) than CgA positivity (26%; McNemar's test χ2 = 30, p < 0.0001). CONCLUSIONS The NETest is an accurate diagnostic for GEPNEN and BPNEN. It exhibits tumor biology correlation with grading, staging, and progression. CgA as a biomarker is significantly less accurate than NETest. The NETest has substantial clinical utility that can facilitate patient management.
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Affiliation(s)
- Anna Malczewska
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland,
| | - Magdalena Witkowska
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Monika Wójcik-Giertuga
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Katarzyna Kuśnierz
- Department of Gastrointestinal Surgery, Medical University of Silesia, Katowice, Poland
| | - Agnes Bocian
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Agata Walter
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Mateusz Rydel
- Department of Thoracic Surgery, Medical University of Silesia, Zabrze, Poland
| | - Amanda Robek
- Department of Oncology, Medical University of Silesia, Katowice, Poland
| | - Sylwia Pierzchała
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Magdalena Malczewska
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland
| | | | - Damian Czyżewski
- Department of Thoracic Surgery, Medical University of Silesia, Zabrze, Poland
| | - Dariusz Ziora
- Department of Pulmonology, Medical University of Silesia, Zabrze, Poland
| | - Joanna Pilch-Kowalczyk
- Department of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland
| | - Wojciech Zajęcki
- Department of Pathology, Medical University of Silesia, Zabrze, Poland
| | - Beata Kos-Kudła
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
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Kidd M, Kitz A, Drozdov I, Modlin I. Neuroendocrine Tumor Omic Gene Cluster Analysis Amplifies the Prognostic Accuracy of the NETest. Neuroendocrinology 2021; 111:490-504. [PMID: 32392558 DOI: 10.1159/000508573] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 05/11/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND The NETest is a multigene assay comprising 51 circulating neuroendocrine tumor (NET)-specific transcripts. The quotient of the 51-gene assay is based upon an ensemble of machine learning algorithms. Eight cancer hallmarks or "omes" (apoptome, epigenome, growth factor signalome, metabolome, proliferome, plurome, secretome, SSTRome) represent 29 genes. The NETest is an accurate diagnostic (>90%) test, but its prognostic utility has not been assessed. In this study, we describe the expansion of the NETest omic cluster components and demonstrate that integration amplifies NETest prognostic accuracy. METHODS Group 1: n = 222; including stable disease (SD, n = 146), progressive disease (PD, n = 76), and controls (n = 139). Group 2: NET Registry NCT02270567; n = 88; prospective samples (SD, n = 54; PD, n = 34) with up to 24 months follow-up. We used PubMed literature review, interactomic analysis, nonparametric testing, Kaplan-Meier survival curves, and χ2 analyses to inform and define the prognostic significance of NET genomic "hallmarks." RESULTS 2020 analyses: In-depth analyses of 47 -NETest genes identified a further six omes: fibrosome, inflammasome, metastasome, NEDome, neurome, and TFome. Group 1 analysis: Twelve omes, excluding the inflammasome and apoptome, were significantly (p < 0.05, 2.1- to 8.2-fold) elevated compared to controls. In the PD group, seven omes (proliferome, NEDome, epigenome, SSTRome, neurome, metastasome, and fibrosome) were elevated (both expression levels and fold change >2) versus SD. Group 2 analysis: All these seven omes were upregulated. In PD, they were significantly more elevated (p < 0.02) than in SD. The septet omic expression exhibited a 69% prognostic accuracy. The NETest alone was 70.5% accurate. A low NETest (≤40) integrated with epigenome/metastasome levels was an accurate prognostic for PD (90%). A high NETest (>40) including the fibrosome/NEDome predicted PD development within 3 months (100%). Using decision tree analysis to integrate the four omes (epigenome, metastasome, fibrosome, and NEDome) with the NETest score generated an overall prognostic accuracy of 93%. CONCLUSIONS Examination of NETest omic gene cluster analysis identified five additional clinically relevant cancer hallmarks. Identification of seven omic clusters (septet) provides a molecular pathological signature of disease progression. The integration of the quartet (epigenome, fibrosome, metastasome, NEDome) and the NETest score yielded a 93% accuracy in the prediction of future disease status.
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Affiliation(s)
- Mark Kidd
- Wren Laboratories, Branford, Connecticut, USA
| | | | | | - Irvin Modlin
- Yale University School of Medicine, New Haven, Connecticut, USA,
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Liberini V, Huellner MW, Grimaldi S, Finessi M, Thuillier P, Muni A, Pellerito RE, Papotti MG, Piovesan A, Arvat E, Deandreis D. The Challenge of Evaluating Response to Peptide Receptor Radionuclide Therapy in Gastroenteropancreatic Neuroendocrine Tumors: The Present and the Future. Diagnostics (Basel) 2020; 10:E1083. [PMID: 33322819 PMCID: PMC7763988 DOI: 10.3390/diagnostics10121083] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/09/2020] [Accepted: 12/09/2020] [Indexed: 02/07/2023] Open
Abstract
The NETTER-1 study has proven peptide receptor radionuclide therapy (PRRT) to be one of the most effective therapeutic options for metastatic neuroendocrine tumors (NETs), improving progression-free survival and overall survival. However, PRRT response assessment is challenging and no consensus on methods and timing has yet been reached among experts in the field. This issue is owed to the suboptimal sensitivity and specificity of clinical biomarkers, limitations of morphological response criteria in slowly growing tumors and necrotic changes after therapy, a lack of standardized parameters and timing of functional imaging and the heterogeneity of PRRT protocols in the literature. The aim of this article is to review the most relevant current approaches for PRRT efficacy prediction and response assessment criteria in order to provide an overview of suitable tools for safe and efficacious PRRT.
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Affiliation(s)
- Virginia Liberini
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (S.G.); (M.F.); (P.T.); (D.D.)
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland;
| | - Martin W. Huellner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland;
| | - Serena Grimaldi
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (S.G.); (M.F.); (P.T.); (D.D.)
| | - Monica Finessi
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (S.G.); (M.F.); (P.T.); (D.D.)
| | - Philippe Thuillier
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (S.G.); (M.F.); (P.T.); (D.D.)
- Department of Endocrinology, University Hospital of Brest, 29200 Brest, France
| | - Alfredo Muni
- Department of Nuclear Medicine, S.S. Biagio e Antonio e C. Arrigo Hospital, 15121 Alessandria, Italy;
| | | | - Mauro G. Papotti
- Pathology Unit, City of Health and Science University Hospital, 10126 Turin, Italy;
- Department of Oncology, University of Turin at Molinette Hospital, 10126 Turin, Italy
| | - Alessandro Piovesan
- Department of Endocrinology, A. O. U. Città della Salute della Scienza of Turin, 10126 Turin, Italy;
| | - Emanuela Arvat
- Oncological Endocrinology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy;
| | - Désirée Deandreis
- Nuclear Medicine Unit, Department of Medical Sciences, University of Turin, 10126 Turin, Italy; (S.G.); (M.F.); (P.T.); (D.D.)
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Survival in Patients with Neuroendocrine Tumours of the Small Intestine: Nomogram Validation and Predictors of Survival. J Clin Med 2020; 9:jcm9082502. [PMID: 32756529 PMCID: PMC7464451 DOI: 10.3390/jcm9082502] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 07/24/2020] [Accepted: 07/29/2020] [Indexed: 02/07/2023] Open
Abstract
Neuroendocrine tumours of the small intestine (SI-NETs) are rare and heterogeneous. There is an unmet need for prognostication of disease course and to aid treatment strategies. A previously developed nomogram based on clinical and tumour characteristics aims to predict disease-specific survival (DSS) in patients with a SI-NET. We aimed to validate the nomogram and identify predictors of survival. Four hundred patients with a grade 1 or 2 SI-NET were included, between January 2000 and June 2016. Predicted 5- and 10-year survival was compared to actual DSS. Multivariable analysis identified predictors for actual DSS. We found that in low-, medium- and high-risk groups 5-year nomogram DSS vs. actual DSS was 0.86 vs. 0.82 (p < 0.001), 0.52 vs. 0.71 (p < 0.001) and 0.26 vs. 0.53 (p < 0.001), respectively. Ten-year nomogram DSS vs. actual DSS was 0.68 vs. 0.69 (p < 0.001), 0.40 vs. 0.50 (p < 0.001) and 0.20 vs. 0.35 (p < 0.001), respectively. Age, WHO-performance score of 2, Ki-67 index ≥10, unknown primary tumour, CgA > 6x ULN and elevated liver tests were identified as independent predictors for a worse DSS. This shows that the nomogram was able to differentiate, but underestimated DSS for patients with a SI-NET. Improvement of prognostication incorporating new emerging biomarkers is necessary to adequately estimate survival.
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Laskaratos FM, Liu M, Malczewska A, Ogunbiyi O, Watkins J, Luong TV, Mandair D, Caplin M, Toumpanakis C. Evaluation of circulating transcript analysis (NETest) in small intestinal neuroendocrine neoplasms after surgical resection. Endocrine 2020; 69:430-440. [PMID: 32291735 PMCID: PMC7392928 DOI: 10.1007/s12020-020-02289-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Accepted: 03/25/2020] [Indexed: 12/29/2022]
Abstract
PURPOSE Surgical resection is the only effective curative strategy for small intestinal neuroendocrine neoplasms (SINENs). Nevertheless, the evaluation of residual disease and prediction of disease recurrence/progression remains a problematic issue. METHODS We evaluated 13 SINENs that underwent surgical resection of the primary tumour and/or mesenteric mass. Patients were divided in three groups: (a) Group 1: SINENs that underwent resection with curative intent, (b) Group 2: SINENs treated with resection in the setting of metastatic disease, which remained stable and (c) Group 3: SINENs treated with resection in the setting of metastatic disease, with evidence of any progression at follow-up. NETest and chromogranin A were measured pre-operatively and post-operatively during a 22-month median follow-up period and compared with imaging studies. NETest score <20% was determined as normal, 20-40% low, 41-79% intermediate and ≥80% high score. RESULTS NETest score was raised in all (100%) SINENs pre-operatively. Surgery with curative intent resulted in NETest score reduction from 78.25 ± 15.32 to 25.25 ± 1.75 (p < 0.05). Low NETest scores post-operatively were evident in all cases without clinical evidence of residual disease (Group 1). However, the low disease activity score suggested the presence of microscopic residual disease. In three cases (75%) with stable disease (Group 2) the NETest score was low consistent with indolent disease. In the progressive disease group (Group 3), a high NETest score was present in three cases (60%) and an intermediate NETest score in the remainder (40%). CONCLUSIONS Blood NETest scores accurately identified SINENs and were significantly decreased by curative surgery. Monitoring NETest post-operatively may facilitate management by identifying the presence of residual/progressive disease.
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Affiliation(s)
- Faidon-Marios Laskaratos
- Centre for Gastroenterology, Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK.
| | - Man Liu
- Centre for Gastroenterology, Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
- Department of Gastroenterology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Anna Malczewska
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | | | | | - Tu Vinh Luong
- Histopathology Department, Royal Free Hospital, London, UK
| | - Dalvinder Mandair
- Centre for Gastroenterology, Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
| | - Martyn Caplin
- Centre for Gastroenterology, Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
| | - Christos Toumpanakis
- Centre for Gastroenterology, Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free Hospital, London, UK
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Malczewska A, Procner A, Walter A, Kusnierz K, Zajecki W, Aslanian H, Kos-Kudla B. The NETest liquid biopsy is diagnostic for gastric neuroendocrine tumors: observations on the blood-based identification of microscopic and macroscopic residual diseaseOK. BMC Gastroenterol 2020; 20:235. [PMID: 32703157 PMCID: PMC7376918 DOI: 10.1186/s12876-020-01348-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 06/16/2020] [Indexed: 12/19/2022] Open
Abstract
Background NETest, a novel multi-gene liquid biopsy has utility in neuroendocrine tumor (NET) diagnosis and identification of residual disease. We independently assessed utility of the NETest to diagnose gastric neuroendocrine neoplasms (GNENs) and identify micro- and macroscopic residual disease. Methods Cohorts comprised histologically confirmed GNENs at biopsy, n = 46; GNETs Type 1: 42 (32 NET G1, 10 NET G2), a GNET Type 3: 1 well-differentiated NET G3, neuroendocrine carcinomas (NECs) (n = 3), and controls (n = 63). Disease status at sampling was assessed by gastroscopy, histology (resection margin [R] positivity of polypectomy or biopsy), EUS, CT or MRI, and/or 68Ga-DOTA-TATE PET/CT. Groups included image- (gastroscopy, EUS, and anatomical and/or functional imaging) positive or image negative disease. NETest assay by PCR (spotted plates, normal cut-off: 20). Data: mean ± SD. Results Disease extent: Image-negative (n = 30) (21 R0, 9 R1); Image-positive, n = 16. Diagnosis: NETest was increased in GNETs (23 ± 11) vs. controls (7 ± 4, p < 0.0001). In histology-positive, the NETest accuracy was 100% (25/25). Microscopic disease: In image-negative but R1, NETest was elevated in 100% (9/9; 28 ± 9). Levels were elevated vs. controls (7 ± 4, p < 0.0001), or R0 (16 ± 11, p = 0.02). Eight of 21 R0, exhibited positive NETest. Macroscopic disease: Gastric lesions were multiple: 38%, single: 62%, submucosal: 13%, or ulcerated: 13%. Lesions size was ≤5 mm (50%), > 5–9.9 mm (17%), 10–19.9 mm (17%), ≥20 mm (17%) [≥10 mm: 34%). The NETest accuracy was 100% (16/16). Levels (28 ± 7) were higher than controls (7 ± 4, p < 0.0001) or R0 (16 ± 11, p = 0.002) but not to R1 (28 ± 9, p = 0.5). Conclusions NETest is diagnostic for gastric NETs. Elevated levels identify both microscopic and macroscopic residual disease. In histology/image-negative disease, elevated NETest may reflect early evidence of increased neuroendocrine gene expression of hypergastrinemia-induced neoplastic transformation of enterochromaffin-like (ECL) cells to tumor status. A sensitive liquid biopsy has utility in the management and surveillance of gastric NET disease.
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Affiliation(s)
- A Malczewska
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, ul. Ceglana 35, 40-514, Katowice, Poland.
| | - A Procner
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, ul. Ceglana 35, 40-514, Katowice, Poland
| | - A Walter
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, ul. Ceglana 35, 40-514, Katowice, Poland
| | - K Kusnierz
- Department of Gastrointestinal Surgery, Medical University of Silesia, ul. Medykow 14, 40-752, Katowice, Poland
| | - W Zajecki
- Department of Pathology, Medical University of Silesia, ul. 3 Maja 13-15, 41-800, Zabrze, Poland
| | - H Aslanian
- Department of Digestive Diseases, Center for Advanced Endoscopy, Yale University School of Medicine, 310 Cedar Street, New Haven, CT, 06510, USA.
| | - B Kos-Kudla
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, ul. Ceglana 35, 40-514, Katowice, Poland
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Bocchini M, Nicolini F, Severi S, Bongiovanni A, Ibrahim T, Simonetti G, Grassi I, Mazza M. Biomarkers for Pancreatic Neuroendocrine Neoplasms (PanNENs) Management-An Updated Review. Front Oncol 2020; 10:831. [PMID: 32537434 PMCID: PMC7267066 DOI: 10.3389/fonc.2020.00831] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Accepted: 04/28/2020] [Indexed: 12/14/2022] Open
Abstract
Pancreatic neuroendocrine tumors (PanNENs) are rare sporadic cancers or develop as part of hereditary syndromes. PanNENs can be both functioning and non-functioning based on whether they produce bioactive peptides. Some PanNENs are well differentiated while others-poorly. Symptoms, thus, depend on both oncological and hormonal causes. PanNEN diagnosis and treatment benefit from and in some instances are guided by biomarker monitoring. However, plasmatic monoanalytes are only suggestive of PanNEN pathological status and their positivity is typically followed by deepen diagnostic analyses through imaging techniques. There is a strong need for new biomarkers and follow-up modalities aimed to improve the outcome of PanNEN patients. Liquid biopsy follow-up, i.e., sequential analysis on tumor biomarkers in body fluids offers a great potential, that need to be substantiated by additional studies focusing on the specific markers and the timing of the analyses. This review provides the most updated panorama on PanNEN biomarkers.
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Affiliation(s)
- Martine Bocchini
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Fabio Nicolini
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Stefano Severi
- Nuclear Medicine and Radiometabolic Units, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Alberto Bongiovanni
- Osteoncology and Rare Tumors Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Toni Ibrahim
- Osteoncology and Rare Tumors Center, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Giorgia Simonetti
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Ilaria Grassi
- Nuclear Medicine and Radiometabolic Units, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Massimiliano Mazza
- Biosciences Laboratory, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
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Partelli S, Andreasi V, Muffatti F, Schiavo Lena M, Falconi M. Circulating Neuroendocrine Gene Transcripts (NETest): A Postoperative Strategy for Early Identification of the Efficacy of Radical Surgery for Pancreatic Neuroendocrine Tumors. Ann Surg Oncol 2020; 27:3928-3936. [PMID: 32253675 DOI: 10.1245/s10434-020-08425-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Surgery remains the only treatment for the cure of pancreatic neuroendocrine tumors (PanNETs). Biomarkers to identify the completeness of resection and predict recurrence are lacking. OBJECTIVE The aims of this study were to evaluate if the blood measurement of neuroendocrine gene transcripts (NETest) was diagnostic of PanNETs, and whether NETest blood levels could identify complete resection. We compared transcript analysis with the biomarker chromogranin A (CgA). METHODS This was a prospective, longitudinal, single-center study including 30 patients with a postoperative histological confirmation of PanNET. Blood for NETest and CgA was collected preoperatively and on postoperative day (POD) 1, POD5, and POD30. Transcripts were measured by real-time quantitative reverse transcription polymerase chain reaction and multianalyte algorithmic analysis (NETest; normal < 20), and CgA was measured by enzyme-linked immunosorbent assay (ELISA; normal < 109 ng/mL). Data are expressed as mean ± standard deviation (SD). RESULTS Pancreatic surgical resections (n = 30) were R0, 26; R1, 2; and R2, 2. Preoperatively, NETest score was elevated in all 30 patients (44.7 ± 27), but postoperatively, NETest scores significantly decreased (p = 0.006) to POD30 (24.7 ± 24). The proportion of patients (15/30) with an elevated score significantly decreased by POD30 (p < 0.0001). CgA levels were elevated preoperatively (184 ± 360 ng/mL) in only 9/30 patients, but did not decrease significantly postoperatively at POD30 (260 ± 589 ng/mL, p = 0.398). The number of patients with elevated CgA levels remained unchanged (9/30). CONCLUSIONS The NETest is an accurate diagnostic biomarker for PanNETs (100%). A decrease in NETest levels after radical resection suggests this blood test provides early assessment of surgical efficacy. CgA had no clinical utility.
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Affiliation(s)
- Stefano Partelli
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, San Raffaele Hospital Neuroendocrine Tumor Group (ENETS Center of Excellence), IRCCS San Raffaele Scientific Institute, "Vita-Salute San Raffaele" University, Via Olgettina 60, 20132, Milan, Italy
| | - Valentina Andreasi
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, San Raffaele Hospital Neuroendocrine Tumor Group (ENETS Center of Excellence), IRCCS San Raffaele Scientific Institute, "Vita-Salute San Raffaele" University, Via Olgettina 60, 20132, Milan, Italy
| | - Francesca Muffatti
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, San Raffaele Hospital Neuroendocrine Tumor Group (ENETS Center of Excellence), IRCCS San Raffaele Scientific Institute, "Vita-Salute San Raffaele" University, Via Olgettina 60, 20132, Milan, Italy
| | - Marco Schiavo Lena
- Department of Pathology, Pancreas Translational and Clinical Research Center, San Raffaele Scientific Institute, "Vita-Salute San Raffaele" University, Via Olgettina 60, 20132, Milan, Italy
| | - Massimo Falconi
- Pancreatic Surgery Unit, Pancreas Translational and Clinical Research Center, San Raffaele Hospital Neuroendocrine Tumor Group (ENETS Center of Excellence), IRCCS San Raffaele Scientific Institute, "Vita-Salute San Raffaele" University, Via Olgettina 60, 20132, Milan, Italy.
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Malczewska A, Kos-Kudła B, Kidd M, Drozdov I, Bodei L, Matar S, Oberg K, Modlin IM. The clinical applications of a multigene liquid biopsy (NETest) in neuroendocrine tumors. Adv Med Sci 2020; 65:18-29. [PMID: 31841822 PMCID: PMC7453408 DOI: 10.1016/j.advms.2019.10.002] [Citation(s) in RCA: 38] [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: 05/24/2019] [Revised: 09/19/2019] [Accepted: 10/18/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE There are few effective biomarkers for neuroendocrine tumors. Precision oncology strategies have provided liquid biopsies for real-time and tailored decision-making. This has led to the development of the first neuroendocrine tumor liquid biopsy (the NETest). The NETest represents a transcriptomic signature of neuroendocrine tumor (NETs) that captures tumor biology and disease activity. The data have direct clinical application in terms of identifying residual disease, disease progress and the efficacy of treatment. In this overview we assess the available published information on the metrics and clinical efficacy of the NETest. MATERIAL AND METHODS Published data on the NETest have been collated and analyzed to understand the clinical application of this multianalyte biomarker in NETs. RESULTS NETest assay has been validated as a standardized and reproducible clinical laboratory measurement. It is not affected by demographic characteristics, or acid suppressive medication. Clinical utility of the NETest has been documented in gastroenteropancreatic, bronchopulmonary NETs, in paragangliomas and pheochromocytomas. The test facilitates accurate diagnosis of a NET disease, and real-time monitoring of the disease status (stable/progressive disease). It predicts aggressive tumor behavior, identifies operative tumor resection, and efficacy of the medical treatment (e.g. somatostatin analogues), or peptide receptor radionuclide therapy (PRRT). NETest metrics and clinical applications out-perform standard biomarkers like chromogranin A. CONCLUSIONS The NETest exhibits clinically competent metrics as an effective biomarker for neuroendocrine tumors. Measurement of NET transcripts in blood is a significant advance in neuroendocrine tumor management and demonstrates that blood provides a viable source to identify and monitor tumor status.
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Affiliation(s)
- Anna Malczewska
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland.
| | - Beata Kos-Kudła
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Mark Kidd
- Wren Laboratories, Branford, CT, USA
| | | | - Lisa Bodei
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Kjell Oberg
- Department of Endocrine Oncology, University Hospital, Uppsala, Sweden
| | - Irvin M Modlin
- Gastroenterological Surgery, Yale University School of Medicine, New Haven, CT, USA
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Öberg K, Califano A, Strosberg J, Ma S, Pape U, Bodei L, Kaltsas G, Toumpanakis C, Goldenring J, Frilling A, Paulson S. A meta-analysis of the accuracy of a neuroendocrine tumor mRNA genomic biomarker (NETest) in blood. Ann Oncol 2020; 31:202-212. [DOI: 10.1016/j.annonc.2019.11.003] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 10/24/2019] [Accepted: 11/08/2019] [Indexed: 02/06/2023] Open
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Bodei L, Kidd MS, Singh A, van der Zwan WA, Severi S, Drozdov IA, Malczewska A, Baum RP, Kwekkeboom DJ, Paganelli G, Krenning EP, Modlin IM. PRRT neuroendocrine tumor response monitored using circulating transcript analysis: the NETest. Eur J Nucl Med Mol Imaging 2019; 47:895-906. [PMID: 31838581 DOI: 10.1007/s00259-019-04601-3] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 11/04/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Peptide receptor radionuclide therapy (PRRT) is effective for metastatic/inoperable neuroendocrine tumors (NETs). Imaging response assessment is usually efficient subsequent to treatment completion. Blood biomarkers such as PRRT Predictive Quotient (PPQ) and NETest are effective in real-time. PPQ predicts PRRT efficacy; NETest monitors disease. We prospectively evaluated: (1) NETest as a surrogate biomarker for RECIST; (2) the correlation of NETest levels with PPQ prediction. METHODS Three independent 177Lu-PRRT-treated GEP-NET and lung cohorts (Meldola, Italy: n = 72; Bad-Berka, Germany: n = 44; Rotterdam, Netherlands: n = 41). Treatment response: RECIST1.1 (responder (stable, partial, and complete response) vs non-responder). Blood sampling: pre-PRRT, before each cycle and follow-up (2-12 months). PPQ (positive/negative) and NETest (0-100 score) by PCR. Stable < 40; progressive > 40). CgA (ELISA) as comparator. Samples de-identified, measurement and analyses blinded. Kaplan-Meier survival and standard statistics. RESULTS One hundred twenty-two of the 157 were evaluable. RECIST stabilization or response in 67%; 33% progressed. NETest significantly (p < 0.0001) decreased in RECIST "responders" (- 47 ± 3%); in "non-responders," it remained increased (+ 79 ± 19%) (p < 0.0005). NETest monitoring accuracy was 98% (119/122). Follow-up levels > 40 (progressive) vs stable (< 40) significantly correlated with mPFS (not reached vs. 10 months; HR 0.04 (95%CI, 0.02-0.07). PPQ response prediction was accurate in 118 (97%) with a 99% accurate positive and 93% accurate negative prediction. NETest significantly (p < 0.0001) decreased in PPQ-predicted responders (- 46 ± 3%) and remained elevated or increased in PPQ-predicted non-responders (+ 75 ± 19%). Follow-up NETest categories stable vs progressive significantly correlated with PPQ prediction and mPFS (not reached vs. 10 months; HR 0.06 (95%CI, 0.03-0.12). CgA did not reflect PRRT treatment: in RECIST responders decrease in 38% and in non-responders 56% (p = NS). CONCLUSIONS PPQ predicts PRRT response in 97%. NETest accurately monitors PRRT response and is an effective surrogate marker of PRRT radiological response. NETest decrease identified responders and correlated (> 97%) with the pretreatment PPQ response predictor. CgA was non-informative.
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Affiliation(s)
- Lisa Bodei
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, Box 77, New York, NY, 10065, USA. .,LuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.
| | | | - Aviral Singh
- Theranostics Center for Molecular Radiotherapy and Imaging, Zentralklinik Bad Berka, Bad Berka, Germany
| | - Wouter A van der Zwan
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefano Severi
- Nuclear Medicine and Radiometabolic Units, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | | | - Anna Malczewska
- Department of Endocrinology and Neuroendocrine Tumors, Medical University of Silesia, Katowice, Poland
| | - Richard P Baum
- LuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.,Theranostics Center for Molecular Radiotherapy and Imaging, Zentralklinik Bad Berka, Bad Berka, Germany
| | - Dik J Kwekkeboom
- LuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.,Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Giovanni Paganelli
- Nuclear Medicine and Radiometabolic Units, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Eric P Krenning
- LuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.,Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.,Cyclotron Rotterdam BV, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Irvin M Modlin
- LuGenIum Consortium, Milan, Rotterdam, London, Bad Berka, 54 Portland Place, London, W1B1DY, UK.,Yale School of Medicine, New Haven, CT, USA
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Lee L, Ito T, Jensen RT. Prognostic and predictive factors on overall survival and surgical outcomes in pancreatic neuroendocrine tumors: recent advances and controversies. Expert Rev Anticancer Ther 2019; 19:1029-1050. [PMID: 31738624 PMCID: PMC6923565 DOI: 10.1080/14737140.2019.1693893] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 11/13/2019] [Indexed: 02/06/2023]
Abstract
Introduction: Recent advances in diagnostic modalities and therapeutic agents have raised the importance of prognostic factors in predicting overall survival, as well as predictive factors for surgical outcomes, in tailoring therapeutic strategies of patients with pancreatic neuroendocrine neoplasms (panNENs).Areas covered: Numerous recent studies of panNEN patients report the prognostic values of a number of clinically related factors (clinical, laboratory, imaging, treatment-related factors), pathological factors (histological, classification, grading) and molecular factors on long-term survival. In addition, an increasing number of studies showed the usefulness of various factors, specifically biomarkers and molecular makers, in predicting recurrence and mortality related to surgical treatment. Recent findings (from the last 3 years) in each of these areas, as well as recent controversies, are reviewed.Expert commentary: The clinical importance of prognostic and predictive factors for panNENs is markedly increased for both overall outcome and post resection, as a result of recent advances in all aspects of the diagnosis, management and treatment of panNENs. Despite the proven prognostic utility of routinely used tumor grading/classification and staging systems, further studies are required to establish these novel prognostic factors to support their routine clinical use.
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Affiliation(s)
- Lingaku Lee
- Digestive Diseases Branch, NIDDK, NIH, Bethesda, MD, 20892-1804, USA
- Department of Hepato-Biliary-Pancreatology, National Kyushu Cancer Center, Fukuoka, 811-1395, Japan
| | - Tetsuhide Ito
- Neuroendocrine Tumor Centre, Fukuoka Sanno Hospital, International University of Health and Welfare, Fukuoka, 814-0001, Japan
| | - Robert T. Jensen
- Digestive Diseases Branch, NIDDK, NIH, Bethesda, MD, 20892-1804, USA
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Kidd M, Drozdov IA, Matar S, Gurunlian N, Ferranti NJ, Malczewska A, Bennett P, Bodei L, Modlin IM. Utility of a ready-to-use PCR system for neuroendocrine tumor diagnosis. PLoS One 2019; 14:e0218592. [PMID: 31247038 PMCID: PMC6597157 DOI: 10.1371/journal.pone.0218592] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 06/05/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Multigene-based PCR tests are time-consuming and limiting aspects of the protocol include increased risk of operator-based variation. In addition, such protocols are complex to transfer and reproduce between laboratories. AIMS Evaluate the clinical utility of a pre-spotted PCR plate (PSP) for a novel multigene (n = 51) blood-based gene expression diagnostic assay for neuroendocrine tumors (NETs). METHODS A pilot study (n = 44; 8 controls and 36 NETs) was undertaken to compare CQ, normalized gene expression and algorithm-based output (NETest score). Gene expression was then evaluated between matched blood:tumor tissue samples (n = 7). Thereafter, two prospective sets (diagnostic: n = 167; clinical validation: n = 48, respectively) were evaluated for diagnostic and clinical utility value. Two independent molecular diagnostics facilities were used to assess assay reproducibility and inter-laboratory metrics. Samples were collected (per CLIA protocol) processed to mRNA and cDNA and then either run per standard assay (liquid primers) or on PSPs. Separately, matching plasma samples were analyzed for chromogranin A (CgA). Statistics included non-parametric testing, Pearson-concordance, Predictive Modeling and AUROC analyses. RESULTS In the pilot study (n = 44), CQ values were highly concordant (r: 0.82, p<0.0001) and normalized gene expression data significantly related (p<0.0001) (Pearson-pairwise correlation). NETest values were not different (49.7±33 standard vs. 48.5±31.5 PSP) and the overall concordance in output 96%. Predictive modelling confirmed this concordance (F1 score = 0.95). Gene expression levels were highly correlated between blood and tumor tissue (R: 0.71-0.83). In the diagnostic cohort (n = 30 controls, n = 87 non-NET controls, n = 50 NET), NETest was significantly lower (p<0.0001) in controls (11±6.5) and non-NET controls (13±18) than NETs (61±31). The AUROCs were 0.93-0.97 and the diagnostic accuracy was 90-97.5%. As a diagnostic, the PSP-NETest was significantly better than CgA (accuracy: 56%, p<0.0001). For clinical samples, the PSP generated robust and accurate (>96%) scores and was significantly better (p<0.0001) than CgA. The assay protocol was consistent (r: 0.97) and reproducible (co-efficient of variation: 1.3-4.2%) across the two facilities. CONCLUSION The PSP protocol for the NETest has been established and prospectively tested in clinical samples. It is highly reproducible, has similar metrics (CV, categorization by control or NET) to the standard PCR assay and generates clinically concordant (>96%) NETest results. Moreover, it functions significantly more accurately than CgA.
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Affiliation(s)
- Mark Kidd
- Wren Laboratories, Branford, Connecticut, United States of America
| | - Ignat A. Drozdov
- Wren Laboratories, Branford, Connecticut, United States of America
| | - Somer Matar
- Wren Laboratories, Branford, Connecticut, United States of America
| | | | | | | | - Philip Bennett
- Sarah Cannon Molecular Diagnostics, London, United Kingdom
| | - Lisa Bodei
- Memorial Sloan Kettering Cancer Centre, New York, New York, United States of America
| | - Irvin M. Modlin
- Yale University, School of Medicine, New Haven, Connecticut, United States of America
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Reply to ‘Time for a change and to adopt a novel molecular genomic approach in NETs’. Nat Rev Clin Oncol 2019; 16:270. [DOI: 10.1038/s41571-019-0186-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Malczewska A, Witkowska M, Makulik K, Bocian A, Walter A, Pilch-Kowalczyk J, Zajęcki W, Bodei L, Oberg K, Kos-Kudła B. NETest liquid biopsy is diagnostic of small intestine and pancreatic neuroendocrine tumors and correlates with imaging. Endocr Connect 2019; 8:EC-19-0030.R1. [PMID: 30865931 PMCID: PMC6479193 DOI: 10.1530/ec-19-0030] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 03/13/2019] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Current monoanalyte biomarkers are ineffective in gastroenteropancreatic neuroendocrine tumors (GEP-NETs). NETest, a novel multianalyte signature, provides molecular information relevant to disease biology. AIM(S) Independently validate NETest to diagnose GEP-NETs and identify progression in a tertiary referral center. MATERIALS AND METHODS Cohorts: 67 pancreatic NET (PNETs), 44 small intestine NETs (SINETs), 63 controls. Well-differentiated (WD): PNETs, n=62, SINETs, all (n=44). Disease extent assessment at blood draw: anatomical (n=110)- CT(n=106), MRI(n=7) and/or functional- 68Ga-SSA-PET/CT(n=69) or 18F-FDG-PET/CT (n=8). Image positive disease (IPD) was defined as either CT/MRI or 68Ga-SSA-PET/CT/18F-FDG-PET/CT-positive. Both CT/MRI and 68Ga-SSA-PET/CT-negative in WD-NETs was considered image negative disease (IND). NETest (normal: 20): PCR (spotted plates). DATA mean±SD. RESULTS Diagnosis: NETest was significantly increased in NETs (n=111; 26±21) vs. controls (8±4, p<0.0001). 75 (42 PNET, 33 SINET) were image-positive. Eleven (8 PNET, 3 SINET; all WD) were IND. In IPD, NETest was significantly higher (36±22) vs. IND (8±7, p<0.0001). NETest accuracy, sensitivity, specificity: 97%, 99%, 95%. Concordance with imaging: NETest was 92% (101/110) concordant with anatomical imaging, 94% (65/69) with 68Ga-SSA-PET/CT, 96% (65/68) dual modality (CT/MRI and 68Ga-SSA-PET/CT). In 70 CT/MRI-positive, NETest was elevated in all (37±22). In 40 CT/MRI-negative, NETest was normal (11±10) in 31. In 56 68Ga-SSA-PET/CT-positive, NETest was elevated (36±22) in 55. In 13 68Ga-SSA-PET/CT-negative, NETest was normal (9±8) in 10. Disease status: NETest was significantly higher in progressive (61±26; n=11) vs. stable disease (29±14; n=64; p<0.0001) (RECIST 1.1). CONCLUSION NETest is an effective diagnostic for PNETs and SINETs. Elevated NETest is as effective as imaging in diagnosis and accurately identifies progression.
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Affiliation(s)
- Anna Malczewska
- Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Magdalena Witkowska
- Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Karolina Makulik
- Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Agnes Bocian
- Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Agata Walter
- Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
| | - Joanna Pilch-Kowalczyk
- Department of Radiology and Nuclear Medicine, Medical University of Silesia, Katowice, Poland
| | - Wojciech Zajęcki
- Department of Pathology in Zabrze, Medical University of Silesia, Katowice, Poland
| | - Lisa Bodei
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kjell Oberg
- Department of Endocrine Oncology, University Hospital, Uppsala, Sweden
| | - Beata Kos-Kudła
- Department of Endocrinology and Neuroendocrine Tumors, Department of Pathophysiology and Endocrinology, Medical University of Silesia, Katowice, Poland
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Time for a change and to adopt a novel molecular genomic approach in NETs. Nat Rev Clin Oncol 2019; 16:269-270. [PMID: 30809030 DOI: 10.1038/s41571-019-0185-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Malczewska A, Oberg K, Bodei L, Aslanian H, Lewczuk A, Filosso PL, Wójcik-Giertuga M, Rydel M, Zielińska-Leś I, Walter A, Suarez AL, Kolasińska-Ćwikła A, Roffinella M, Jamidar P, Ziora D, Czyżewski D, Kos-Kudła B, Ćwikła J. NETest Liquid Biopsy Is Diagnostic of Lung Neuroendocrine Tumors and Identifies Progressive Disease. Neuroendocrinology 2019; 108:219-231. [PMID: 30654372 PMCID: PMC7472425 DOI: 10.1159/000497037] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Accepted: 12/22/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND There are no effective biomarkers for the management of bronchopulmonary carcinoids (BPC). We examined the utility of a neuroendocrine multigene transcript "liquid biopsy" (NETest) in BPC for diagnosis and monitoring of the disease status. AIM To independently validate the utility of the NETest in diagnosis and management of BPC in a multicenter, multinational, blinded study. MATERIAL AND METHODS The study cohorts assessed were BPC (n = 99), healthy controls (n = 102), other lung neoplasia (n = 101) including adenocarcinomas (ACC) (n = 41), squamous cell carcinomas (SCC) (n = 37), small-cell lung cancer (SCLC) (n = 16), large-cell neuroendocrine carcinoma (LCNEC) (n = 7), and idiopathic pulmonary fibrosis (IPF) (n = 50). BPC were histologically classified as typical (TC) (n = 62) and atypical carcinoids (AC) (n = 37). BPC disease status determination was based on imaging and RECIST 1.1. NETest diagnostic metrics and disease status accuracy were evaluated. The upper limit of normal (NETest) was 20. Twenty matched tissue-blood pairs were also evaluated. Data are means ± SD. RESULTS NETest levels were significantly increased in BPC (45 ± 25) versus controls (9 ± 8; p < 0.0001). The area under the ROC curve was 0.96 ± 0.01. Accuracy, sensitivity, and specificity were: 92, 84, and 100%. NETest was also elevated in SCLC (42 ± 32) and LCNEC (28 ± 7). NETest accurately distinguished progressive (61 ± 26) from stable disease (35.5 ± 18; p < 0.0001). In BPC, NETest levels were elevated in metastatic disease irrespective of histology (AC: p < 0.02; TC: p = 0.0006). In nonendocrine lung cancers, ACC (18 ± 21) and SCC (12 ± 11) and benign disease (IPF) (18 ± 25) levels were significantly lower compared to BPC level (p < 0.001). Significant correlations were evident between paired tumor and blood samples for BPC (R: 0.83, p < 0.0001) and SCLC (R: 0.68) but not for SCC and ACC (R: 0.25-0.31). CONCLUSIONS Elevated -NETest levels are indicative of lung neuroendocrine neoplasia. NETest levels correlate with tumor tissue and imaging and accurately define clinical progression.
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Affiliation(s)
- Anna Malczewska
- Yale University School of Medicine, New Haven, Connecticut, USA
- Medical University of Silesia, Katowice, Poland
| | | | - Lisa Bodei
- Memorial Sloan Kettering Cancer Center, New York, New York, USA,
| | - Harry Aslanian
- Yale University School of Medicine, New Haven, Connecticut, USA
| | | | | | | | | | | | | | | | | | | | - Priya Jamidar
- Yale University School of Medicine, New Haven, Connecticut, USA
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