Evidence map›Paper›PMID 39742573›Full record

ReviewDNA repair2025

Mechanisms of tandem duplication in the cancer genome.

Ralph Scully, Dominik Glodzik, Francesca Menghi, Edison T Liu, Cheng-Zhong Zhang

Abstract readReview
In one paragraph

Review in DNA repair, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Ralph ScullyDepartment of Medicine, Division of Hematology-Oncology and Cancer Research Institute, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA 02215, USA. Electronic address: rscully@bidmc.harvard.edu.
Dominik GlodzikDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Francesca MenghiThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Edison T LiuThe Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
Cheng-Zhong ZhangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Pathology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA.

Funding

Stalled replication fork repair in cancer predisposition and cancertherapyR35CA263813 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Ralph Scully · 2022 to 2026
$5.1M
Genomic Biology of the Tandem Duplicator Phenotype in Mouse and Human CancersR01CA255705 · NCI · JACKSON LABORATORY · PI LIU, EDISON TAK-BUN · 2021 to 2025
$3.5M
NCI NIH HHS R01 CA255705NCI NIH HHS R35 CA263813
6 · The paper itself

Abstract

Tandem duplications (TD) are among the most frequent type of structural variant (SV) in the cancer genome. They are characterized by a single breakpoint junction that defines the boundaries and the size of the duplicated segment. Cancer-associated TDs often increase oncogene copy number or disrupt tumor suppressor gene function, and thus have important roles in tumor evolution. TDs in cancer genomes fall into three classes, defined by the size of duplications, and are associated with distinct genetic drivers. In this review, we survey key features of cancer-related TDs and consider possible underlying mechanisms in relation to stressed DNA replication and the 3D organization of the S phase genome.

Indexed as

Gene DuplicationGenome, HumanNeoplasmsDNA ReplicationHumansBRCA1Breakage-fusionBreak-induced replicationCDK12Cyclin ESingle strand annealingSister replication forkSister replisomeStructural variantTandem duplication

Identifiers

PMID39742573
PMCPMC11843477

What OpenQuestion holds

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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.