Evidence map›Paper›PMID 30215160›Full record

ArticleEndocrine pathology2018

Synchronous Multiple Pituitary Neuroendocrine Tumors of Different Cell Lineages.

Ozgur Mete, Omalkhaire M Alshaikh, Amber Cintosun, Shereen Ezzat, Sylvia L Asa

Abstract read
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Article in Endocrine pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 48 citations in OpenAlex.

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  19. Multiple tumorous lesions of the pituitary gland.Hormones (Athens, Greece) · 2022
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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

5 authors at 2 institutions in 1 country.

Ozgur MeteDepartment of Pathology, Princess Margaret Cancer Program, University Health Network, University of Toronto, 200 Elizabeth Street, 11th Floor, Toronto, ON, M5G 2M9, Canada. ozgur.mete2@uhn.ca.
Omalkhaire M AlshaikhDepartment of Medicine, Princess Margaret Cancer Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Amber CintosunDepartment of Pathology, Princess Margaret Cancer Program, University Health Network, University of Toronto, 200 Elizabeth Street, 11th Floor, Toronto, ON, M5G 2M9, Canada.
Shereen EzzatDepartment of Medicine, Princess Margaret Cancer Program, University Health Network, University of Toronto, Toronto, ON, Canada.
Sylvia L AsaDepartment of Pathology, Princess Margaret Cancer Program, University Health Network, University of Toronto, 200 Elizabeth Street, 11th Floor, Toronto, ON, M5G 2M9, Canada. sylvia.asa@utoronto.ca.
University Health Network · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report clinicopathological features of a large series of synchronous multiple pituitary neuroendocrine tumors (PitNETs) of different cell lineages. Retrospective review of pathology records from 2001 to 2016 identified 13 synchronous multiple PitNETs from 1055 PitNETs classified using pituitary cell-lineage transcription factors, adenohypohyseal hormones, and other biomarkers. Clinical, radiological, and histopathological features of these tumors were reviewed. The series included seven females and six males. Mean age at diagnosis was 55.23 years (range 36-73). Imaging was unavailable for four patients; among the other nine, mean tumor size was 2.23 cm (range 0.9-3.9). Five patients had acromegaly, four had Cushing disease, and four had clinically non-functional tumors. Twelve had double PitNETs; one had a triple PitNET. The most common tumor type was corticotroph (n = 8; six densely and one sparsely granulated and one Crooke cell; three densely and one sparsely granulated were clinically silent), gonadotroph tumors (n = 8), and somatotroph tumors (n = 5; four sparsely granulated and one densely granulated somatotroph) were followed by lactotroph tumors (n = 4; all sparsely granulated), poorly differentiated Pit-1 lineage tumor (n = 1), and unusual plurihormonal tumor (n = 1). A 54-year-old man with Cushing disease had MEN1-driven Crooke cell and gonadotroph tumors. The triple pitNET consisted of a multilineage plurihormonal tumor associated with a gonadotroph and a sparsely granulated lactotroph tumor. The Ki67 (available from 10 specimens) ranged from 1 to 5% in individual tumors. Radiological and biochemical follow-up was available for 10 and 11 patients, respectively. Radiological tumor persistence/recurrence was identified in three patients with double PitNETs consisting of sparsely granulated lactotroph and gonadotroph tumors (n = 1), sparsely granulated somatotroph and silent corticotroph tumors (n = 1), and gonadotroph and silent corticotroph tumors (n = 1) with cavernous sinus invasion. Biochemical persistence was noted in four patients with double PitNETs consisting of sparsely granulated somatotroph and silent corticotroph tumors (n = 2), gonadotroph and Crooke cell tumors (n = 1), and densely granulated somatotroph and silent corticotroph tumors (n = 1). Multiple PitNETs represent about 1% of PitNETs and usually have hormone excess due to at least one tumor component. Clinical manifestations may be due to the minor component, especially in patients with Cushing disease. Invasive growth and aggressive histological subtypes predicted disease persistence/recurrence. This series also highlights the importance of routine application of pituitary cell lineage transcription factors along with hormones to distinguish and subtype multiple synchronous PitNETs.

Indexed as

AdultAgedCell LineageFemaleHumansMaleMiddle AgedNeoplasms, Multiple PrimaryNeuroendocrine TumorsPituitary NeoplasmsRetrospective StudiesMultiple tumorsPituitarySynchronous

Identifiers

PMID30215160
OpenAlexW2891346687

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.