Evidence map›Paper›PMID 39367667›Full record

ReviewMolecular oncology2025

Genomic landscape and preclinical models of angiosarcoma.

Annaleigh Benton, Bozhi Liu, Lauren E Gartenhaus, Jason A Hanna

Abstract readReview
In one paragraph

Review in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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  3. Review
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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

4 authors.

Annaleigh BentonDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.ORCID https://orcid.org/0000-0001-6322-9994
Bozhi LiuDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.ORCID https://orcid.org/0009-0007-1631-3158
Lauren E GartenhausDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.ORCID https://orcid.org/0009-0003-9173-7242
Jason A HannaDepartment of Biological Sciences, Purdue University, West Lafayette, IN, USA.ORCID https://orcid.org/0000-0001-7253-7964

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI ANDREW D MESECAR · 1985 to 2026
$43.4M
Congressionally Directed Medical Research Programs HT94252410861Department of Biological Sciences Ross Lynn FellowshipJim and Diann Robbers Cancer Research GrantNCI NIH HHS P30 CA023168Purdue University Graduate School Ross FellowshipRalph W. and Grace M. Showalter Research Trust FundWalther Cancer Foundation
6 · The paper itself

Abstract

Angiosarcoma is a cancer that develops in blood or lymphatic vessels that presents a significant clinical challenge due to its rarity and aggressive features. Clinical outcomes have not improved in decades, highlighting a need for innovative therapeutic strategies to treat the disease. Genetically, angiosarcomas exhibit high heterogeneity and complexity with many recurrent mutations. However, recent studies have identified some common features within anatomic and molecular subgroups. To identify potential therapeutic vulnerabilities, it is essential to understand and integrate the mutational landscape of angiosarcoma with the models that exist to study the disease. In this review, we will summarize the insights gained from reported genomic alterations in molecular and anatomic subtypes of angiosarcoma, discuss several potential actionable targets, and highlight the preclinical disease models available in the field.

Indexed as

GenomicsHemangiosarcomaAnimalsDisease Models, AnimalHumansMutationangiosarcomagenomicsrare cancersarcoma

Identifiers

PMID39367667
PMCPMC11977660

What OpenQuestion holds

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Registered trials

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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.