Evidence map›Paper›PMID 20418756›Full record

ReviewPancreas2010

Phenotype and genotype of pancreatic cancer cell lines.

Emily L Deer, Jessica González-Hernández, Jill D Coursen, Jill E Shea, Josephat Ngatia, Courtney L Scaife, Matthew A Firpo, Sean J Mulvihill

Erratum issuedAbstract readReview
In one paragraph

Review in Pancreas, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 582 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
582citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

582 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. GOT1 Inhibition Induces Extracellular Matrix Remodeling in Pancreatic Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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522 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Emily L DeerDepartment of Surgery, University of Utah School of Medicine, Salt Lake City, UT 84132, USA.
Jessica González-Hernández
Jill D Coursen
Jill E Shea
Josephat Ngatia
Courtney L Scaife
Matthew A Firpo
Sean J Mulvihill

Funding

Short-Term Training: Students in Health Professional SchoolsT35HL007744 · NHLBI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RONDINA, MATTHEW THOMAS, TRISTANI-FIROUZI, MARTIN · 1993 to 2025
$3.1M
NHLBI NIH HHS T35 HL007744NHLBI NIH HHS T35HL07744
6 · The paper itself

Abstract

The dismal prognosis of pancreatic adenocarcinoma is due in part to a lack of molecular information regarding disease development. Established cell lines remain a useful tool for investigating these molecular events. Here we present a review of available information on commonly used pancreatic adenocarcinoma cell lines as a resource to help investigators select the cell lines most appropriate for their particular research needs. Information on clinical history; in vitro and in vivo growth characteristics; phenotypic characteristics, such as adhesion, invasion, migration, and tumorigenesis; and genotypic status of commonly altered genes (KRAS, p53, p16, and SMAD4) was evaluated. Identification of both consensus and discrepant information in the literature suggests careful evaluation before selection of cell lines and attention be given to cell line authentication.

Indexed as

Cell Line, TumorCyclin-Dependent Kinase Inhibitor p16GenotypeHumansPancreatic NeoplasmsPhenotypeProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsSmad4 ProteinTumor Suppressor Protein p53Cyclin-Dependent Kinase Inhibitor p16KRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsSmad4 ProteinSMAD4 protein, humanTumor Suppressor Protein p53

Identifiers

PMID20418756
PMCPMC2860631

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.