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Kiemen AL, Young ED, Blackford AL, Wu P, Burkhart RA, Burns WR, Cameron JL, Lafaro K, Shubert C, Gaillard Z, Ebong UA, Reucroft I, Shen Y, Dequiedt L, Matos V, Klöppel G, Kasajima A, He J, Hruban RH. Prognostic Features in Surgically Resected Well-Differentiated Pancreatic Neuroendocrine Tumors: An Analysis of 904 Patients with 7882 Person-Years of Follow-Up. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.04.01.25325055. [PMID: 40236435 PMCID: PMC11998843 DOI: 10.1101/2025.04.01.25325055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/17/2025]
Abstract
Importance The clinical behavior of well-differentiated pancreatic neuroendocrine tumors (PanNETs) is difficult to predict. Objective To define more accurately prognosticators for patients with a surgically resected PanNET. Design The pathology and Ki-67 immunolabeling index of PanNETs resected from 904 patients was correlated with patient outcome. Setting Academic tertiary care hospital. Participants Consecutive patients who had a PanNET resected between 1985 and 2025. Results The mean patient age at surgery was 56.6 years (SD 14.0), 477 were male (52.8%), and 7882 person-years of follow-up were obtained (mean 8.8 years, SD 6.5). The 10-year survival was 81% (95% CI: 77,86%) for patients with G1 PanNETs (Ki-67 <3%), 68% (95% CI: 61,76%) for patients with G2a PanNETs (Ki-67 3- <10%), 44% (95% CI: 29,66%) for patients with G2b PanNETs (Ki-67 of 10%- ≤20%), and 23% (95% CI: 8,61%) for patients with G3 PanNETs. Metastases (HR 4.7, p <0.0001), vascular invasion (HR 3.0, p <0.0001), tumor size ≥ 2 cm (HR 2.88, p <0.0001), perineural invasion (HR 2.42, p<0.0001), and positive margins (HR 2.18, p <0.0001) were associated with worse overall survival. Insulinoma (HR 0.34, p=3e-04), sclerosing variant (HR 0.47, p=0.05), and cystic variant (HR 0.61, p=0.05) were associated with improved overall survival. T stage and N stage were all statistically significant classifiers of overall survival. Similar associations were found with respect to disease relapse. There was a significant (P<0.001) increase in the proportion of patients diagnosed with stage I vs stage IV disease over time. Conclusions and relevance This study supports the classification of PanNETs into four grades (G1, G2a, G2b, and G3) based on Ki-67 labeling, which allows a more accurate prognostic assessments of patients.
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Affiliation(s)
- Ashley L. Kiemen
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD
- Institute for NanoBioTechnology, Johns Hopkins University
- Department of Functional Anatomy & Evolution, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Eric D. Young
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Amanda L. Blackford
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Pengfei Wu
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Richard A. Burkhart
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - William R. Burns
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - John L. Cameron
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kelly Lafaro
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Christopher Shubert
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Zoe Gaillard
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Uwakmfon-Abasi Ebong
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ian Reucroft
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Yu Shen
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Lucie Dequiedt
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Valentina Matos
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Günter Klöppel
- Department of Pathology, TUM School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Atsuko Kasajima
- Department of Pathology, TUM School of Medicine and Health, Technical University Munich, Munich, Germany
| | - Jin He
- Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Ralph H. Hruban
- Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD
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Santhanam AP, Joel A, Paul A, Zachariah UG, Rebekah GJ, Kodiatte TA. Anti-phosphohistone H3 (PHH3) as a proliferation marker to assess mitotic activity and to grade neuroendocrine neoplasms of hepatopancreaticobiliary (HPB) system. INDIAN J PATHOL MICR 2025; 68:30-35. [PMID: 39133254 DOI: 10.4103/ijpm.ijpm_625_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/19/2024] [Indexed: 08/13/2024] Open
Abstract
BACKGROUND The world health organization (WHO) classification of neuroendocrine neoplasms (NENs, i.e. neuroendocrine tumors (NETs) and neuroendocrine carcinomas (NECs)) of the gastrointestinal system involves grading of these tumors by mitotic count (i.e. H and E mitotic index or Haematoxylin and Eosin mitotic index [HE-MI] and Mindbomb E3 ubiquitin protein ligase 1 labelling index (MIB1-LI) into Grade 1 (G1), Grade 2 (G2), or Grade 3 (G3). However, the assessment of HE-MI and MIB1-LI is hindered by several factors that contribute to discordance between these two grading methods. Clinical data demonstrate the dependency of prognosis on grade. OBJECTIVES The objective of this study was to compare the grading of NENs of the hepatopancreatobiliary (HPB) system using Anti-phosphohistone H3 mitotic index (i.e. PHH3-MI), HE-MI and MIB1-LI. MATERIALS AND METHODS In a cohort of 140 NENs selected from January 2011 to August 2019, the concordance and correlation between HE-MI, MIB1-LI and PHH3-MI grading methods were analysed using Cohen's weighted kappa ( κ ) statistics and Spearman's correlation (ρ), respectively. Receiver operating characteristic (ROC) curve and cut-off analyses were done to determine optimal PHH3-MI cut-off values to grade NENs. RESULTS The rates of discordance between HE-MI vs. MIB1-LI, PHH3-MI vs. MIB1-LI and PHH3-MI vs. HE-MI were 52% ( κ =0.416), 29% ( κ =0.64) and 41% ( κ =0.508), respectively. There was a significant correlation between the grading methods. PHH3-MI had good overall sensitivity and specificity at cut-offs 2 and 17 in distinguishing between G1 vs. G2, and G2 vs. G3 tumors, respectively. CONCLUSION PHH3 immunolabeling allowed for quick and easy identification of mitotic figures (MF). It had the highest concordance with MIB1-LI. At cut-off values of 2 and 17, there was good overall sensitivity and specificity. The interobserver agreement was excellent.
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Affiliation(s)
- A Prisca Santhanam
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Anjana Joel
- Department of Medical Oncology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Anoop Paul
- Department of HPB Surgery, Christian Medical College, Vellore, Tamil Nadu, India
| | - Uday G Zachariah
- Department of Hepatology, Christian Medical College, Vellore, Tamil Nadu, India
| | - Grace J Rebekah
- Department of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India
| | - Thomas A Kodiatte
- Department of Pathology, Christian Medical College, Vellore, Tamil Nadu, India
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Kato T, Kudo A, Kinowaki Y, Ishikawa Y, Watanabe S, Akahoshi K, Ogawa K, Ono H, Ban D, Tanaka S, Tanabe M. A novel classification of portal venous tumor invasion to predict residual tumor status after surgery in patients with pancreatic neuroendocrine neoplasms. J Cancer Res Clin Oncol 2022; 148:931-941. [PMID: 33983461 DOI: 10.1007/s00432-021-03660-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/04/2021] [Indexed: 01/02/2023]
Abstract
PURPOSE To elucidate whether portal venous tumor invasion (PVTI) is a prognostic factor for patients with pancreatic neuroendocrine neoplasms (Pan-NENs). METHODS From 2002 to 2019, 240 patients with Pan-NEN were included to examine prognostic factors. PVTI based on computed tomography (CT) images are classified into four types: no PVTI (Vp0/1), PVTI not invading the superior mesenteric vein (Vp2), PVTI invading the superior mesenteric vein or portal vein (Vp3), and PVTI invading the portal bifurcation (Vp4). RESULTS Simultaneous liver metastases (SLM) determined the overall survival (OS) in 240 patients. The 5-year OS rates with and without SLM were 46% and 92%, respectively (P < 0.001). PVTIs were observed in 56 of the 240 patients (23%). Among such patients, 39, 11, and 6 had Vp2, Vp3, and Vp4, respectively. The 5-year OS rates with and without PVTI were 62% and 82%, respectively (P < 0.001). Severity of PVTI did not decide PFS and OS after R0/1 resection. There was significant difference in the prognoses between Vp0/1 and Vp2-4. In 161 patients without SLM, 21 had PVTI (13%). According to a multivariate analysis, PVTI and Ki-67 index were independent prognostic factors for progression-free survival (PFS) in patients without SLM. The 5-year PFS rates with and without PVTI were 18% and 77%, respectively (P < 0.001). The 5-year OS rates with and without PVTI were 76% and 95%, respectively (P = 0.02). PVTI was associated with tumor functionality, high serum NSE, and high Ki-67 index. CONCLUSIONS PVTI may be a predictor for postoperative recurrence.
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Affiliation(s)
- Tomotaka Kato
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Atsushi Kudo
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan.
| | - Yuko Kinowaki
- Department of Comprehensive Pathology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoshiya Ishikawa
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Shuichi Watanabe
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Keiichi Akahoshi
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Kosuke Ogawa
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Hiroaki Ono
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Daisuke Ban
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
| | - Shinji Tanaka
- Department of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Minoru Tanabe
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan
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Song Z, Wang S, Wu Y, Zhang J, Liu S. Prognostic Nomograms to Predict Overall Survival and Cancer-Specific Survival of Patients With Pancreatic Neuroendocrine Tumors: A Population-Based Study. Pancreas 2021; 50:414-422. [PMID: 33835974 DOI: 10.1097/mpa.0000000000001779] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVE The objective of this research was to construct and validate prognostic nomograms predicting overall survival (OS) and cancer-specific survival (CSS) in patients with pancreatic neuroendocrine tumors (pNETs). METHODS We extracted 3787 patients with pNETs from the Surveillance, Epidemiology and End Results database. Nomograms for estimating 3- and 5-year OS and CSS were first established. Then, we used Harrell's Concordance Index, calibration plots, and the area under receiver operating characteristic curve to evaluate the nomograms. The Kaplan-Meier curve was plotted to evaluate the different survival outcomes. RESULTS In the multivariate analysis, age, grade, functional status, American Joint Committee on Cancer stage, and surgery were associated with OS and CSS. The established nomograms had good discriminative ability, with a Harrell's Concordance Index of 0.830 for OS and 0.855 for CSS. The calibration plots also revealed good agreement. The area under receiver operating characteristic curve values of the nomograms predicting 3- and 5-year OS and CSS rates were 0.836, 0.816 and 0.859, 0.841, respectively. In addition, Kaplan-Meier curve indicated that patients with higher risk had worse survival outcomes. CONCLUSIONS We have proposed and validated the nomograms predicting OS and CSS of pNETs. They can be convenient individualized tools to facilitate clinical decision making.
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A Novel Validated Recurrence Risk Score to Guide a Pragmatic Surveillance Strategy After Resection of Pancreatic Neuroendocrine Tumors: An International Study of 1006 Patients. Ann Surg 2019; 270:422-433. [PMID: 31283562 PMCID: PMC6697205 DOI: 10.1097/sla.0000000000003461] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Despite heterogeneous biology, similar surveillance schemas are utilized after resection of all pancreatic neuroendocrine tumors (PanNETs). Given concerns regarding excess radiation exposure and financial burden, our aim was to develop a prognostic score for disease recurrence to guide individually tailored surveillance strategies. METHODS All patients with primary nonfunctioning, nonmetastatic well/moderately differentiated PanNETs who underwent curative-intent resection at 9-institutions from 2000 to 2016 were included (n = 1006). A Recurrence Risk Score (RRS) was developed from a randomly selected derivation cohort comprised of 67% of patients and verified on the validation-cohort comprised of the remaining 33%. RESULTS On multivariable analysis, patients within the derivation cohort (n = 681) with symptomatic tumors (jaundice, pain, bleeding), tumors >2 cm, Ki67 >3%, and lymph node (LN) (+) disease had increased recurrence. Each factor was assigned a score based on their weighted odds ratio that formed a RRS of 0 to 10: symptomatic = 1, tumor >2 cm = 2, Ki67 3% to 20% = 1, Ki67 >20% = 6, LN (+) = 1. Patients were grouped into low- (RRS = 0-2; n = 247), intermediate-(RRS = 3-5; n = 204), or high (RRS = 6-10; n = 9)-risk groups. At 24 months, 33% of high RRS recurred, whereas only 2% of low and 14% of intermediate RRS recurred. This persisted in the validation cohort (n = 325). CONCLUSIONS This international, novel, internally validated RRS accurately stratifies recurrence-free survival for patients with resected PanNETs. Given their unique recurrence patterns, surveillance intervals of 12, 6, and 3 months are proposed for low, intermediate, and high RRS patients, respectively, to minimize radiation exposure and optimize cost/resource utilization.
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Gao S, Pu N, Liu L, Li C, Xu X, Wang X, Lou W. The latest exploration of staging and prognostic classification for pancreatic neuroendocrine tumors: a large population-based study. J Cancer 2018; 9:1698-1706. [PMID: 29760809 PMCID: PMC5950600 DOI: 10.7150/jca.24178] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2017] [Accepted: 01/27/2018] [Indexed: 12/16/2022] Open
Abstract
Background: A modified European Neuroendocrine Tumor Society (mENETS) staging system has been confirmed to be more suitable for pancreatic neuroendocrine tumors (pNETs) when compared to the American Joint Committee on Cancer (AJCC) or the European Neuroendocrine Tumor Society (ENETS) systems in the last few years. However, the importance of N stage has been recently published with several significant updates. Methods: SEER registry (n = 2,209) was used to evaluate the application of the AJCC 7th staging system, ENETS staging system, mENETS staging system and reformed ENETS (rENETS) staging system in this study. Results: For the ENETS staging system, patients with stage I disease had a similar prognosis to patients with stage II disease (P=0.154), and patients with stage IIIA and stage IIIB diseases showed adverse prognostic potential. The proportion of patients with stage III diseases using AJCC 7th staging system was extremely lower than those with mENETS staging system or rENETS staging system (3.6%, 23.0% and 23.7%, respectively). Furthermore, the hazard ratio of death for patients with stage II or III disease using rENETS staging system was slightly higher than that of mENETS staging system. Besides, survival curves were better separated by rENETS staging system. A prognostic nomogram for overall survival (OS) was formulated to obtain superior discriminatory abilities. Conclusions: The rENETS staging system has superior distribution in proportion than the AJCC 7th, ENETS or mENETS staging system, and one more accurate and advanced predictive model will be achieved via the incorporation to be adopted in clinical practice.
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Affiliation(s)
- Shanshan Gao
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Ning Pu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Lingxiao Liu
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Changyu Li
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Xuefeng Xu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Xiaolin Wang
- Shanghai Institute of Medical Imaging, Shanghai, 200032, People's Republic of China
- Department of Interventional Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
| | - Wenhui Lou
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, People's Republic of China
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