Evidence map›Paper›PMID 38076958›Full record

ArticlebioRxiv : the preprint server for biology2024

HYENA detects oncogenes activated by distal enhancers in cancer.

Anqi Yu, Ali E Yesilkanal, Ashish Thakur, Fan Wang, Yang Yang, William Phillips, Xiaoyang Wu, Alexander Muir, Xin He, Francois Spitz and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Anqi YuBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
Ali E YesilkanalBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
Ashish ThakurDepartment of Human Genetics, University of Chicago, Chicago IL, USA.
Fan WangBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
Yang YangBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
William PhillipsBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
Xiaoyang WuBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
Alexander MuirBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
Xin HeDepartment of Human Genetics, University of Chicago, Chicago IL, USA.
Francois SpitzDepartment of Human Genetics, University of Chicago, Chicago IL, USA.
Lixing YangBen May Department for Cancer Research, University of Chicago, Chicago IL, USA.
University of Chicago · US

Funding

Unveiling non-coding drivers of cancerR01CA269977 · NCI · UNIVERSITY OF CHICAGO · PI Lixing Yang · 2022 to 2026
$2.2M
Structural variations and their impact in human cancerK22CA193848 · NCI · UNIVERSITY OF CHICAGO · PI YANG, LIXING · 2017 to 2019
$508k
NCI NIH HHS K22 CA193848NCI NIH HHS R01 CA269977
6 · The paper itself

Abstract

Somatic structural variations (SVs) in cancer can shuffle DNA content in the genome, relocate regulatory elements, and alter genome organization. Enhancer hijacking occurs when SVs relocate distal enhancers to activate proto-oncogenes. However, most enhancer hijacking studies have only focused on protein-coding genes. Here, we develop a computational algorithm "HYENA" to identify candidate oncogenes (both protein-coding and non-coding) activated by enhancer hijacking based on tumor whole-genome and transcriptome sequencing data. HYENA detects genes whose elevated expression is associated with somatic SVs by using a rank-based regression model. We systematically analyze 1,146 tumors across 25 types of adult tumors and identify a total of 108 candidate oncogenes including many non-coding genes. A long non-coding RNA

Identifiers

PMID38076958
PMCPMC10705271
OpenAlexW4314937418

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.