Evidence map›Paper›PMID 32117764›Full record

ArticleFrontiers in oncology2020

From the Clinic to the Bench and Back Again in One Dog Year: How a Cross-Species Pipeline to Identify New Treatments for Sarcoma Illuminates the Path Forward in Precision Medicine.

Sneha R Rao, Jason A Somarelli, Erdem Altunel, Laura E Selmic, Mark Byrum, Maya U Sheth, Serene Cheng, Kathryn E Ware, So Young Kim, Joseph A Prinz and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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
2.5field-weighted citation impact, top 8% 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.

  1. Article
  2. Review
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  4. Testing for Phylogenetic Signal in Single-Cell RNA-Seq Data.Journal of computational biology : a journal of computational molecular cell biology · 2023
    Article
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  6. Article
  7. Article
  8. Article
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  10. 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 3 institutions in 1 country.

Sneha R RaoDepartment of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, United States.
Jason A SomarelliDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Erdem AltunelDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Laura E SelmicDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, United States.
Mark ByrumDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, United States.
Maya U ShethPratt School of Engineering, Duke University, Durham, NC, United States.
Serene ChengDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
Kathryn E WareDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
So Young KimDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC, United States.
Joseph A PrinzDuke Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.
Nicolas DevosDuke Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.
David L CorcoranDuke Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.
Arthur MoseleyDuke Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.
Erik SoderblomDuke Center for Genomic and Computational Biology, Duke University, Durham, NC, United States.
S David HsuDepartment of Medicine, Duke University Medical Center, Durham, NC, United States.
William C EwardDepartment of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, United States.
Duke Medical Center · USDuke University · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer drug discovery is an inefficient process, with more than 90% of newly-discovered therapies failing to gain regulatory approval. Patient-derived models of cancer offer a promising new approach to identify new treatments; however, for rare cancers, such as sarcomas, access to patient samples is limited, which precludes development of patient-derived models. To address the limited access to patient samples, we have turned to pet dogs with naturally-occurring sarcomas. Although sarcomas make up <1% of all human cancers, sarcomas represent 15% of cancers in dogs. Because dogs have similar immune systems, an accelerated pace of cancer progression, and a shared environment with humans, studying pet dogs with cancer is ideal for bridging gaps between mouse models and human cancers. Here, we present our cross-species personalized medicine pipeline to identify new therapies for sarcomas. We explore this process through the focused study of a pet dog, Teddy, who presented with six synchronous leiomyosarcomas. Using our pipeline we identified proteasome inhibitors as a potential therapy for Teddy. Teddy was treated with bortezomib and showed a varied response across tumors. Whole exome sequencing revealed substantial genetic heterogeneity across Teddy's recurrent tumors and metastases, suggesting that intra-patient heterogeneity and tumoral adaptation were responsible for the heterogeneous clinical response. Ubiquitin proteomics coupled with exome sequencing revealed multiple candidate driver mutations in proteins related to the proteasome pathway. Together, our results demonstrate how the comparative study of canine sarcomas offers important insights into the development of personalized medicine approaches that can lead to new treatments for sarcomas in both humans and canines.

Indexed as

cancer therapycomparative oncologyprecision medicinetumor evolutiontumor heterogeneity

Identifiers

PMID32117764
PMCPMC7026496
OpenAlexW3006480869

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.