Evidence map›Paper›PMID 30158685›Full record

ArticleNature genetics2018

Analysis and visualization of linked molecular and clinical cancer data by using Oncoscape.

Lisa G McFerrin, Michael Zager, Jianan Zhang, Gretchen Krenn, Robert McDermott, Desert Horse-Grant, Emily Silgard, Kara Colevas, Paul Shannon, Hamid Bolouri and 1 more

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Translating Basic Science Discoveries into Improved Outcomes for Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
  12. Graphical data mining of cancer mechanisms with SEMA.Bioinformatics (Oxford, England) · 2019
    Article
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

11 authors.

Lisa G McFerrinFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Michael ZagerFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Jianan ZhangFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Gretchen KrennFred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-4440-2186
Robert McDermottFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Desert Horse-GrantUniversity of California, Los Angeles, Los Angeles, CA, USA.
Emily SilgardFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kara ColevasFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Paul ShannonInstitute for Systems Biology, Seattle, WA, USA.
Hamid BolouriFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Eric C HollandFred Hutchinson Cancer Research Center, Seattle, WA, USA. eholland@fredhutch.org.ORCID http://orcid.org/0000-0002-3792-7120

Funding

Project 3: Single Cell Measures of Intratumor Diversity for Optimal Breast Cancer TherapyU54CA193461 · NCI · DANA-FARBER CANCER INST · PI POLYAK, KORNELIA · 2015 to 2020
$11.2M
NIH HHS U54 CA193461
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

HumansMolecular BiologyNeoplasms

Identifiers

What OpenQuestion holds

Textmetadata
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.