Evidence map›Paper›PMID 28854978›Full record

ArticleGenome medicine2017

The neoepitope landscape in pediatric cancers.

Ti-Cheng Chang, Robert A Carter, Yongjin Li, Yuxin Li, Hong Wang, Michael N Edmonson, Xiang Chen, Paula Arnold, Terrence L Geiger, Gang Wu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 96 citations in OpenAlex.

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  20. Decreased expression ofFrontiers in oncology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Ti-Cheng ChangDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Robert A CarterDepartment of Oncology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Yongjin LiDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Yuxin LiDepartment of Structural Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Hong WangDepartment of Structural Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Michael N EdmonsonDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Xiang ChenDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Paula ArnoldDepartment of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Terrence L GeigerDepartment of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Gang WuDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Junmin PengDepartment of Structural Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Michael DyerDepartment of Developmental Neurobiology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
James R DowningDepartment of Pathology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Douglas R GreenDepartment of Immunology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Paul G ThomasDepartment of Immunology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA.
Jinghui ZhangDepartment of Computational Biology, St Jude Children's Research Hospital, Memphis, Tennessee, 38105, USA. jinghui.zhang@stjude.org.
St. Jude Children's Research Hospital · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE J. BAKER · 1985 to 2026
$166.9M
Establishment, maintenance, and consequences of asymmetric cell division in T cellsR01AI123322 · NIAID · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI GREEN, DOUGLAS R. · 2017 to 2021
$2.2M
NCI NIH HHS P30 CA021765NIAID NIH HHS R01 AI123322
6 · The paper itself

Abstract

backgroundNeoepitopes derived from tumor-specific somatic mutations are promising targets for immunotherapy in childhood cancers. However, the potential for such therapies in targeting these epitopes remains uncertain due to a lack of knowledge of the neoepitope landscape in childhood cancer. Studies to date have focused primarily on missense mutations without exploring gene fusions, which are a major class of oncogenic drivers in pediatric cancer.

methodsWe developed an analytical workflow for identification of putative neoepitopes based on somatic missense mutations and gene fusions using whole-genome sequencing data. Transcriptome sequencing data were incorporated to interrogate the expression status of the neoepitopes.

resultsWe present the neoepitope landscape of somatic alterations including missense mutations and oncogenic gene fusions identified in 540 childhood cancer genomes and transcriptomes representing 23 cancer subtypes. We found that 88% of leukemias, 78% of central nervous system tumors, and 90% of solid tumors had at least one predicted neoepitope. Mutation hotspots in KRAS and histone H3 genes encode potential epitopes in multiple patients. Additionally, the ETV6-RUNX1 fusion was found to encode putative neoepitopes in a high proportion (69.6%) of the pediatric leukemia harboring this fusion.

conclusionsOur study presents a comprehensive repertoire of potential neoepitopes in childhood cancers, and will facilitate the development of immunotherapeutic approaches designed to exploit them. The source code of the workflow is available at GitHub ( https://github.com/zhanglabstjude/neoepitope ).

Indexed as

ImmunotherapyMutation, MissenseChildDNA Mutational AnalysisEpitopesExomeHumansNeoplasmsOncogene FusionEpitopesEpitopesGene fusionsImmunotherapyPediatric cancer

Identifiers

PMID28854978
PMCPMC5577668
OpenAlexW2746667318

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.