Evidence map›Paper›PMID 35867969›Full record

ArticlePloS one2022

Genomic landscapes of canine splenic angiosarcoma (hemangiosarcoma) contain extensive heterogeneity within and between patients.

Shukmei Wong, E J Ehrhart, Samuel Stewart, Victoria Zismann, Jacob Cawley, Rebecca Halperin, Natalia Briones, Keith Richter, Karthigayini Sivaprakasam, Nieves Perdigones and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  8. Review of Molecular Technologies for Investigating Canine Cancer.Animals : an open access journal from MDPI · 2024
    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

16 authors at 2 institutions in 1 country.

Shukmei WongTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
E J EhrhartCharles River Laboratories, Wilmington, MA, United States of America.
Samuel StewartEthos Discovery, San Diego, CA, United States of America.ORCID 0000-0003-1148-2589
Victoria ZismannTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Jacob CawleyCharles River Laboratories, Wilmington, MA, United States of America.ORCID 0000-0003-2993-5179
Rebecca HalperinTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Natalia BrionesTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Keith RichterEthos Discovery, San Diego, CA, United States of America.
Karthigayini SivaprakasamTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Nieves PerdigonesTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Tania Contente-CuomoTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Salvatore FacistaTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Jeffrey M TrentTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Muhammed MurtazaTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.
Chand KhannaEthos Discovery, San Diego, CA, United States of America.
William P D HendricksTranslational Genomics Research Institute, Phoenix, Arizona, United States of America.ORCID 0000-0001-7192-8699
Translational Genomics Research Institute · USCharles River Laboratories (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer genomic heterogeneity presents significant challenges for understanding oncogenic processes and for cancer's clinical management. Variation in driver mutation frequency between patients with the same tumor type as well as within an individual patients' cancer can shape the use of mutations as diagnostic, prognostic, and predictive biomarkers. We have characterized genomic heterogeneity between and within canine splenic hemangiosarcoma (HSA), a common naturally occurring cancer in pet dogs that is similar to human angiosarcoma (AS). HSA is a clinically, physiologically, and genomically complex canine cancer that may serve as a valuable model for understanding the origin and clinical impact of cancer heterogeneity. We conducted a prospective collection of 52 splenic masses from 43 dogs (27 HSA, 15 benign masses, and 1 stromal sarcoma) presenting for emergency care with hemoperitoneum secondary to a ruptured splenic mass. Multi-platform genomic analysis included matched tumor/normal targeted sequencing panel and exome sequencing. We found candidate somatic cancer driver mutations in 14/27 (52%) HSAs. Among recurrent candidate driver mutations, TP53 was most commonly mutated (30%) followed by PIK3CA (15%), AKT1 (11%), and CDKN2AIP (11%). We also identified significant intratumoral genomic heterogeneity, consistent with a branched evolution model, through multi-region exome sequencing of three distinct tumor regions from selected primary splenic tumors. These data provide new perspectives on the genomic landscape of this veterinary cancer and suggest a cross-species value for using HSA in pet dogs as a naturally occurring model of intratumoral heterogeneity.

Indexed as

Dog DiseasesHemangiosarcomaSplenic NeoplasmsAnimalsDogsExome SequencingGenomicsHumansMutationProspective Studies

Identifiers

PMID35867969
PMCPMC9307279
OpenAlexW4286697775

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.