Evidence map›Paper›PMID 27549319›Full record

ArticleGenome biology2016

Digitally deconvolving the tumor microenvironment.

Dvir Aran, Atul J Butte

Open access · goldAbstract readComment
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-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

11 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Dvir AranInstitute for Computational Health Sciences, University of California, Mission Hall, 550 16th Street, 4th Floor, Box 0110, San Francisco, CA, 94158-2549, USA.
Atul J ButteInstitute for Computational Health Sciences, University of California, Mission Hall, 550 16th Street, 4th Floor, Box 0110, San Francisco, CA, 94158-2549, USA. atul.butte@ucsf.edu.

Funding

Stanford and Northrop Grumman proposal for the Oncology Models ForumU24CA195858 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2015 to 2019
$4.7M
NCI NIH HHS U24 CA195858
6 · The paper itself

Abstract

Understanding a tumor's complex cellular heterogeneity will be crucial for the development of better treatment strategies. A new study suggests a novel method for the in silico dissociation of solid tumors and presents novel insights that have implications for immunotherapy in cancer.Please see the related Research article: www.dx.doi.org/10.1186/s13059-016-1028-7 .

Indexed as

Computer SimulationModels, BiologicalTumor MicroenvironmentCombined Modality TherapyGenetic TherapyHumansImmunotherapyMolecular Targeted TherapyNeoplasms

Identifiers

PMID27549319
PMCPMC4993002
OpenAlexW2512357935

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.