Evidence map›Paper›PMID 28616579›Full record

ArticleMolecular & cellular oncology2017

Common genetic variation in the germline influences where and how tumors develop.

Hannah Carter, Trey Ideker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular & cellular oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Hannah CarterDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, USA.
Trey IdekerDepartment of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, USA.

Funding

NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
Network approaches to identify cancer drivers from high-dimensional tumor dataDP5OD017937 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARTER, HANNAH KATHRYN · 2013 to 2017
$1.9M
NCI NIH HHS U24 CA184427NIH HHS DP5 OD017937
6 · The paper itself

Abstract

Germline variation contributes to individual risk for developing specific types of cancer. Analyzing thousands of tumors, we found evidence that the germline also influences vulnerable tissue sites and the mutations that arise in tumor genomes. These associations provide new clues to unravel the biologic mechanisms underlying cancer predisposition.

Indexed as

Cancer predispositiongermline-somatic interactionstumor evolution

Identifiers

PMID28616579
PMCPMC5462515

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.