Evidence map›Paper›PMID 38833619›Full record

ArticleThe oncologist2025

Oncofusions - shaping cancer care.

Giovanna Dashi, Markku Varjosalo

Abstract readComment
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Giovanna DashiInstitute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
Markku VarjosaloInstitute of Biotechnology, HiLIFE Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-1340-9732

Funding

Research Council of Finland 288475
6 · The paper itself

Abstract

Cancer manifests through a spectrum of mutations, including gene fusions termed oncofusions. These structural alterations influence tumorigenesis across various cancer types. Oncofusions arise primarily from genomic rearrangements and operate through deregulation or hybrid gene formation mechanisms. Notable examples such as BCR::ABL and EWS::FLI1 underscore their clinical significance. Several case studies exemplify the role of identifying and targeting oncofusions in guiding treatment decisions and improving patient outcomes. However, challenges persist in discerning drivers from passenger mutations and addressing acquired resistance. Despite advancements, the complexity of oncofusions warrants further exploration of their full potential as therapeutic targets, requiring a multidisciplinary approach integrating genomics, functional studies, and innovative drug discovery strategies to achieve precision in medicine.

Indexed as

NeoplasmsHumansMutation

Identifiers

PMID38833619
PMCPMC11783282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.