Evidence map›Paper›PMID 30370373›Full record

ArticleCurrent opinion in systems biology2017

Non-coding genetic variation in cancer.

Tawny N Cuykendall, Mark A Rubin, Ekta Khurana

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

  1. Pooled it
  2. Development of a multilocus sequence typing tool forJournal of clinical microbiology · 2026
    Article
  3. Article
  4. Targeted mutagenesis of specific genomic DNA sequences in animals for thebioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. Article
  7. Cancers · 2024
    Article
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  9. Article
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  12. Article
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  15. Article
  16. Article
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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

3 authors.

Tawny N CuykendallDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, 10065, USA.
Mark A RubinMeyer Cancer Center, Weill Cornell Medicine, New York, New York, 10065, USA.
Ekta KhuranaDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York, 10065, USA.

Funding

The joint WCM-NYGC Center for Functional and Clinical Interpretation of Tumor ProfilesU24CA210989 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI ELEMENTO, OLIVIER, ZODY, MICHAEL C · 2016 to 2020
$2.4M
NCI NIH HHS U24 CA210989
6 · The paper itself

Abstract

The vast majority of somatic variants in cancer genomes occur in non-coding regions. However, progress in cancer genomics in the past decade has been mostly focused on coding regions, largely due to the prohibitive cost of whole genome sequencing (WGS). Recent technological advances have decreased sequencing costs leading to the current acquisition of thousands of tumor whole genome sequences which has led to a hunt for non-coding drivers. The most well characterized regulatory drivers are in the

Identifiers

PMID30370373
PMCPMC6203332

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.