Evidence map›Paper›PMID 31413331›Full record

ArticleScientific data2019

Whole-exome and whole-transcriptome sequencing of canine mammary gland tumors.

Ka-Kyung Kim, Byung-Joon Seung, Dohyun Kim, Hee-Myung Park, Sejoon Lee, Doo-Won Song, Gunho Lee, Jae-Ho Cheong, Hojung Nam, Jung-Hyang Sur and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  14. Omics Technologies in Veterinary Medicine: Literature Review and Perspectives in Transfusion Medicine.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
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  20. Scientific data · 2022
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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

11 authors.

Ka-Kyung KimDepartment of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Byung-Joon SeungDepartment of Veterinary Pathology, Small Animal Tumor Diagnostic Center, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea.
Dohyun KimSchool of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.
Hee-Myung ParkDepartment of Veterinary Internal Medicine, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea.
Sejoon LeePrecision Medicine Center, Seoul National University Bundang Hospital, Seongnam, 13620, Republic of Korea.
Doo-Won SongDepartment of Veterinary Internal Medicine, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea.
Gunho LeeGraduate Program for Nanomedical Science, Yonsei University, Seoul, 03722, Republic of Korea.
Jae-Ho CheongDepartment of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Hojung NamSchool of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea. hjnam@gist.ac.kr.
Jung-Hyang SurDepartment of Veterinary Pathology, Small Animal Tumor Diagnostic Center, College of Veterinary Medicine, Konkuk University, Seoul, 05029, Republic of Korea. jsur@konkuk.ac.kr.
Sangwoo KimDepartment of Biomedical Systems Informatics and Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea. SWKIM@yuhs.ac.ORCID http://orcid.org/0000-0001-5356-0827

Funding

National Research Foundation of Korea (NRF) NRF-2013R1A1A2062110National Research Foundation of Korea (NRF) NRF-2016M3A9B6903439
6 · The paper itself

Abstract

Studies of naturally occurring cancers in dogs, which share many genetic and environmental factors with humans, provide valuable information as a comparative model for studying the mechanisms of human cancer pathogenesis. While individual and small-scale studies of canine cancers are underway, more generalized multi-omics studies have not been attempted due to the lack of large-scale and well-controlled genomic data. Here, we produced reliable whole-exome and whole-transcriptome sequencing data of 197 canine mammary cancers and their matched controls, annotated with rich clinical and biological features. Our dataset provides useful reference points for comparative analysis with human cancers and for developing novel diagnostic and therapeutic technologies for cancers in pet dogs.

Indexed as

ExomeTranscriptomeAnimalsDogsExome SequencingFemaleMammary Neoplasms, Animal

Identifiers

PMID31413331
PMCPMC6694171

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.