Evidence map›Paper›PMID 38260434›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Large tandem duplications in cancer result from transcription and DNA replication collisions.

Yang Yang, Michelle L Badura, Patrick C O'Leary, Henry M Delavan, Troy M Robinson, Emily A Egusa, Xiaoming Zhong, Jason T Swinderman, Haolong Li, Meng Zhang and 5 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Yang YangBen May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
Michelle L BaduraHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Patrick C O'LearyHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Henry M DelavanHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Troy M RobinsonHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Emily A EgusaHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Xiaoming ZhongBen May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
Jason T SwindermanHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Haolong LiHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Meng ZhangHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Minkyu KimHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Alan AshworthHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Felix Y FengHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Jonathan ChouHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
Lixing YangBen May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
University of California, San Francisco · USUniversity of Chicago · US

Funding

Unveiling non-coding drivers of cancerR01CA269977 · NCI · UNIVERSITY OF CHICAGO · PI Lixing Yang · 2022 to 2026
$2.2M
NCI NIH HHS R01 CA269977
6 · The paper itself

Abstract

Despite the abundance of somatic structural variations (SVs) in cancer, the underlying molecular mechanisms of their formation remain unclear. Here, we use 6,193 whole-genome sequenced tumors to study the contributions of transcription and DNA replication collisions to genome instability. After deconvoluting robust SV signatures in three independent pan-cancer cohorts, we detect transcription-dependent replicated-strand bias, the expected footprint of transcription-replication collision (TRC), in large tandem duplications (TDs). Large TDs are abundant in female-enriched, upper gastrointestinal tract and prostate cancers. They are associated with poor patient survival and mutations in

Identifiers

PMID38260434
PMCPMC10802642
OpenAlexW4377967637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.