Evidence map›Paper›PMID 30086728›Full record

ArticleBMC cancer2018

Deficiency in hormone-sensitive lipase accelerates the development of pancreatic cancer in conditional KrasG12D mice.

Mu Xu, Hui-Hua Chang, Xiaoman Jung, Aune Moro, Caroline Ei Ne Chou, Jonathan King, O Joe Hines, James Sinnett-Smith, Enrique Rozengurt, Guido Eibl

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 15 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

10 authors at 1 institution in 1 country.

Mu XuDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
Hui-Hua ChangDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
Xiaoman JungDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
Aune MoroDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
Caroline Ei Ne ChouDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
Jonathan KingDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
O Joe HinesDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA.
James Sinnett-SmithDepartments of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Enrique RozengurtDepartments of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Guido EiblDepartments of Surgery, David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, CHS 72-236, Los Angeles, CA, 90095, USA. GEibl@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-3497-4527
University of California, Los Angeles · US

Funding

Pilot and Feasibility ProgramP30DK041301 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROZENGURT, JUAN ENRIQUE · 1990 to 2019
$18.0M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
GASTROENTEROLOGYT32DK007180 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JENSEN, DENNIS MICHAEL · 1986 to 2025
$10.0M
Targeting diet-induced promotion of Kras-initiated pancreatic adenocarcinomaP01CA163200 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PANDOL, STEPHEN J. · 2012 to 2016
$6.2M
PKD1 Signaling and Crosstalk Mechanisms in Intestinal Epithelial Cell RegulationR01DK100405 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROZENGURT, JUAN ENRIQUE · 2014 to 2017
$1.3M
BLRD VA I01 BX001473NCI NIH HHS P01 CA163200NCI NIH HHS P01CA163200NIDDK NIH HHS P30 DK041301NIDDK NIH HHS P30DK41301NIDDK NIH HHS R01 DK100405NIDDK NIH HHS R01DK100405NIDDK NIH HHS T32 DK007180NIDDK NIH HHS U24 DK059637NIH HHS T32DK07180U.S. Department of Veterans Affairs 1I01BX001473
6 · The paper itself

Abstract

backgroundHormone sensitive lipase (HSL) is a neutral lipase that preferentially catalyzes the hydrolysis of diacylglycerol contributing to triacylglycerol breakdown in the adipose tissue. HSL has been implicated to play a role in tumor cachexia, a debilitating syndrome characterized by progressive loss of adipose tissue. Consequently, pharmacological inhibitors of HSL have been proposed for the treatment of cancer-associated cachexia. In the present study we used the conditional KrasG12D (KC) mouse model of pancreatic ductal adenocarcinoma (PDAC) with a deficiency in HSL to determine the impact of HSL suppression on the development of PDAC.

methodsKC;Hsl

resultsCompared to KC;Hsl

conclusionsHSL deficiency is associated with adipose tissue and pancreatic inflammation and accelerates PDAC development in the KC mouse model.

Indexed as

Pancreatic NeoplasmsSterol EsteraseAnimalsFemaleInflammationMaleMiceMice, TransgenicPancreasSterol EsteraseAdipose tissue inflammationAnimal modelHormone sensitive lipasePancreatic cancerPancreatic inflammation

Identifiers

PMID30086728
PMCPMC6081906
OpenAlexW2887822957

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.