Evidence map›Paper›PMID 19258505›Full record

ArticleCancer research2009

Natural killer cells require selectins for suppression of subcutaneous tumors.

Olga Sobolev, Patrick Stern, Adam Lacy-Hulbert, Richard O Hynes

Open access · bronzeAbstract read
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Article in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 21 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

4 authors at 2 institutions in 1 country.

Olga SobolevHoward Hughes Medical Institute, David H. Koch Institute for Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Patrick Stern
Adam Lacy-Hulbert
Richard O Hynes
Howard Hughes Medical Institute · USMassachusetts Institute of Technology · US

Funding

Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
Tumor-Stroma Interacions in the Tumor MicroenvironmentU54CA126515 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HYNES, RICHARD O · 2006 to 2010
$6.5M
Howard Hughes Medical InstituteNCI NIH HHS U54 CA112967NCI NIH HHS U54CA112967NCI NIH HHS U54 CA126515NCI NIH HHS U54CA126515
6 · The paper itself

Abstract

Natural killer (NK) cells recognize and destroy cancer cells through a variety of mechanisms. They may also modulate the adaptive immune response to cancer by interacting with dendritic cells and T cells. Although NK cells play an important role in tumor suppression, little is known about the mechanisms of their recruitment to tumors. Previously it has been shown that subcutaneous tumor growth is enhanced in mice lacking selectins, a family of cell adhesion molecules that mediate the first step of immune cell entry into tissue from the blood. Here we show that NK cell recruitment to tumors is defective in selectin-deficient mice. In vivo NK cell depletion, either pharmacologic or genetic, leads to enhanced subcutaneous tumor growth, similar to the phenotype observed in the selectin-deficient animals. We also show that although NK cells from selectin-deficient mice appear developmentally normal and are functional in in vitro assays, their in vivo function is impaired. This study reveals a role for selectins in NK cell recruitment to tumors and in regulation of effective tumor immunity.

Indexed as

AdenocarcinomaAnimalsCarcinoma, Lewis LungCell Growth ProcessesFemaleKiller Cells, NaturalMaleMelanoma, ExperimentalMiceMice, Inbred BALB CMice, Inbred C57BLMice, KnockoutNeoplasms, ExperimentalSelectinsSelectins

Identifiers

PMID19258505
PMCPMC2694740
OpenAlexW2170730718

What OpenQuestion holds

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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.