Evidence map›Paper›PMID 31319641›Full record

ArticleCancer research and treatment2020

Pancreatic High-Grade Neuroendocrine Neoplasms in the Korean Population: A Multicenter Study.

Haeryoung Kim, Soyeon An, Kyoungbun Lee, Sangjeong Ahn, Do Youn Park, Jo-Heon Kim, Dong-Wook Kang, Min-Ju Kim, Mee Soo Chang, Eun Sun Jung and 11 more

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 15 institutions in 1 country.

Haeryoung KimDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Soyeon AnDepartment of Pathology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea.
Kyoungbun LeeDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Sangjeong AhnDepartment of Pathology, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Korea.
Do Youn ParkDepartment of Pathology, Saint Maria Pathology, Busan, Korea.
Jo-Heon KimDepartment of Pathology, Chonnam National University Medical School, Gwangju, Korea.
Dong-Wook KangDepartment of Pathology, Eulji University Hospital, Daejeon, Korea.
Min-Ju KimDepartment of Pathology, Seegene Medical Foundation, Seoul, Korea.
Mee Soo ChangDepartment of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Eun Sun JungDepartment of Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Joon Mee KimDepartment of Pathology, Inha University Hospital, Incheon, Korea.
Yoon Jung ChoiDepartment of Pathology, National Health Insurance Service Ilsan Hospital, Goyang, Korea.
So-Young JinDepartment of Pathology, Soon Chun Hyang University Seoul Hospital, Seoul, Korea.
Hee Kyung ChangDepartment of Pathology, Kosin University Gospel Hospital, Busan, Korea.
Mee-Yon ChoDepartment of Pathology, Yonsei University Wonju College of Medicine, Wonju, Korea.
Yun Kyung KangDepartment of Pathology, Inje University Seoul Paik Hospital, Seoul, Korea.
Myunghee KangDepartment of Pathology, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Soomin AhnDepartment of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Youn Wha KimDepartment of Pathology, Kyung Hee University College of Medicine, Seoul, Korea.
Seung-Mo HongDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Gastrointestinal Pathology Study Group of the Korean Society of PathologistsDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Seoul National University · KRCatholic Kwandong University · KRCatholic Kwandong University International St. Mary's Hospital · KRCatholic University of Korea · KRChonnam National University Hospital · KRDaejeon Eulji Medical Center, Eulji University · KRGachon University · KRInha University Hospital · KRInje University Seoul Paik Hospital · KRKosin University Gospel Hospital · KRKyung Hee University · KRNational Health Insurance Service Ilsan Hospital · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KRUniversity of Ulsan · KRYonsei University · KR

Funding

Ministry of EducationNational Research Foundation of Korea 2013R1A1A2062320National Research Foundation of Korea 2016R1A2B4009381National Research Foundation of Korea 2016R1D1A1A09919042
6 · The paper itself

Abstract

purposeThe most recent 2017 World Health Organization (WHO) classification of pancreatic neuroendocrine neoplasms (PanNENs) has refined the three-tiered 2010 scheme by separating grade 3 pancreatic neuroendocrine tumors (G3 PanNETs) from poorly differentiated pancreatic neuroendocrine carcinomas (PanNECs). However, differentiating between G3 Pan- NETs and PanNECs is difficult in clinical practice. MATERIALS AND

methodsEighty-two surgically resected PanNENs were collected from 16 institutions and reclassified according to the 2017 WHO classification based on the histological features and proliferation index (mitosis and Ki-67). Immunohistochemical stains for ATRX, DAXX, retinoblastoma, p53, Smad4, p16, and MUC1 were performed for 15 high-grade PanNENs.

resultsRe-classification resulted in 20 G1 PanNETs (24%), 47 G2 PanNETs (57%), eight G3 well-differentiated PanNETs (10%), and seven poorly differentiated PanNECs (9%). PanNECs showed more frequent diffuse nuclear atypia, solid growth patterns and apoptosis, less frequent organoid growth and regular vascular patterns, and absence of low-grade PanNET components than PanNETs. The Ki-67 index was significantly higher in PanNEC (58.2%± 15.1%) compared to G3 PanNET (22.6%±6.1%, p < 0.001). Abnormal expression of any two of p53, p16, MUC1, and Smad4 could discriminate PanNECs from G3 PanNETs with 100% specificity and 87.5% sensitivity.

conclusionHistological features supporting the diagnosis of PanNECs over G3 PanNETs were the absence of a low-grade PanNET component in the tumor, the presence of diffuse marked nuclear atypia, solid growth pattern, frequent apoptosis and markedly increased proliferative activity with homogeneous Ki-67 labeling. Immunohistochemical stains for p53, p16, MUC1, and Smad4 may be helpful in distinguishing PanNECs from G3 PanNETs in histologically ambiguous cases, especially in diagnostic practice when only small biopsied tissues are available.

Indexed as

AdolescentAdultAgedAged, 80 and overBiomarkers, TumorChildFemaleHumansImmunohistochemistryKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingNeuroendocrine TumorsPancreatic NeoplasmsPopulation SurveillanceBiomarkers, TumorImmunohistochemistryNeuroendocrine carcinomaNeuroendocrine tumorsPancreas

Identifiers

PMID31319641
PMCPMC6962471
OpenAlexW2958814332

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.