Evidence map›Paper›PMID 25241033›Full record

ArticleClinical & experimental metastasis2014

Gene expression accurately distinguishes liver metastases of small bowel and pancreas neuroendocrine tumors.

Scott K Sherman, Jessica E Maxwell, Jennifer C Carr, Donghong Wang, Andrew M Bellizzi, M Sue O'Dorisio, Thomas M O'Dorisio, James R Howe

Open access · greenAbstract readComparative Study
In one paragraph

Article in Clinical & experimental metastasis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-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

22 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Surgical Management of Neuroendocrine Tumor Liver Metastases.Surgical oncology clinics of North America · 2021
    Review
  8. Small Bowel Neuroendocrine Tumors.Current problems in surgery · 2020
    Article
  9. Carcinoid Tumors: Past, Present, and Future.Indian journal of surgical oncology · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Translational Diagnostics and Therapeutics in Pancreatic Neuroendocrine Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Review
  19. Review
  20. Review
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

8 authors at 1 institution in 1 country.

Scott K ShermanDepartment of Surgery, The University of Iowa Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA, 52242-1086, USA.
Jessica E Maxwell
Jennifer C Carr
Donghong Wang
Andrew M Bellizzi
M Sue O'Dorisio
Thomas M O'Dorisio
James R Howe
University of Iowa · US

Funding

University of Iowa Surgical Oncology Training GrantT32CA148062 · NCI · UNIVERSITY OF IOWA · PI WEIGEL, RONALD J · 2010 to 2020
$3.8M
NCI NIH HHS T32 CA148062NCI NIH HHS T32 CA148062-03
6 · The paper itself

Abstract

Small bowel (SBNETs) and pancreatic neuroendocrine tumors (PNETs) often present with liver metastases. Although liver biopsy establishes a neuroendocrine diagnosis, the primary tumor site is frequently unknown without exploratory surgery. Gene expression differences in metastases may distinguish primary SBNETs and PNETs. This study sought to determine expression differences of four genes in neuroendocrine metastases and to create a gene expression algorithm to distinguish the primary site. Nodal and liver metastases from SBNETs and PNETs (n = 136) were collected at surgery under an Institutional Review Board-approved protocol. Quantitative PCR measured expression of bombesin-like receptor-3, opioid receptor kappa-1, oxytocin receptor, and secretin receptor in metastases. Logistic regression models defined an algorithm predicting the primary tumor site. Models were developed on a training set of 21 nodal metastases and performance was validated on an independent set of nodal and liver metastases. Expression of all four genes was significantly different in SBNET compared to PNET metastases. The optimal model employed expression of bombesin-like receptor-3 and opioid receptor kappa-1. When these genes did not amplify, the algorithm used oxytocin receptor and secretin receptor expression, which allowed classification of all 136 metastases with 94.1 % accuracy. In the independent liver metastasis validation set, 52/56 (92.9 %) were correctly classified. Positive predictive values were 92.5 % for SBNETs and 93.8 % for PNETs. This validated algorithm accurately distinguishes SBNET and PNET metastases based on their expression of four genes. High accuracy in liver metastases demonstrates applicability to the clinical setting. Studies assessing this algorithm's utility in prospective clinical decision-making are warranted.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overBiomarkers, TumorFemaleFollow-Up StudiesHumansIntestinal NeoplasmsIntestine, SmallLiver NeoplasmsLymphatic MetastasisMaleMiddle AgedNeoplasm GradingNeuroendocrine TumorsBiomarkers, Tumorbombesin receptor subtype 3OPRK1 protein, humanOXTR protein, humanReceptors, BombesinReceptors, Gastrointestinal HormoneReceptors, G-Protein-CoupledReceptors, Opioid, kappaReceptors, OxytocinRNA, Messengersecretin receptor

Identifiers

PMID25241033
PMCPMC4263419
OpenAlexW1974670203

What OpenQuestion holds

Textmetadata
LicenceTDM
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.