Evidence map›Paper›PMID 34234215›Full record

ArticleScientific reports2021

Transcriptomic analysis links hepatocellular carcinoma (HCC) in HZE ion irradiated mice to a human HCC subtype with favorable outcomes.

Liang-Hao Ding, Yongjia Yu, Elijah F Edmondson, Michael M Weil, Laurentiu M Pop, Maureen McCarthy, Robert L Ullrich, Michael D Story

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 6 institutions in 2 countries.

Liang-Hao DingDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Yongjia YuDepartment of Radiation Oncology, The University of Texas Medical Branch, Galveston, TX, 77555, USA.
Elijah F EdmondsonFrederick National Laboratory for Cancer Research, Frederick, MD, 21702, USA.
Michael M WeilDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Laurentiu M PopDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Maureen McCarthyNASA Johnson Space Center, Houston, TX, 77058, USA.
Robert L UllrichRadiation Effects Research Foundation, Hiroshima, Japan.
Michael D StoryDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA. michael.story@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USColorado State University · USFrederick National Laboratory for Cancer Research · USJohnson Space Center · USRadiation Effects Research Foundation · JPThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-charge, high-energy ion particle (HZE) radiations are extraterrestrial in origin and characterized by high linear energy transfer (high-LET), which causes more severe cell damage than low-LET radiations like γ-rays or photons. High-LET radiation poses potential cancer risks for astronauts on deep space missions, but the studies of its carcinogenic effects have relied heavily on animal models. It remains uncertain whether such data are applicable to human disease. Here, we used genomics approaches to directly compare high-LET radiation-induced, low-LET radiation-induced and spontaneous hepatocellular carcinoma (HCC) in mice with a human HCC cohort from The Cancer Genome Atlas (TCGA). We identified common molecular pathways between mouse and human HCC and discovered a subset of orthologous genes (mR-HCC) that associated high-LET radiation-induced mouse HCC with a subgroup (mrHCC2) of the TCGA cohort. The mrHCC2 TCGA cohort was more enriched with tumor-suppressing immune cells and showed a better prognostic outcome than other patient subgroups.

Indexed as

Gene Expression ProfilingRadiation, IonizingTranscriptomeAnimalsBiomarkers, TumorCarcinoma, HepatocellularComputational BiologyDisease Models, AnimalGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMicePrognosisTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID34234215
PMCPMC8263559
OpenAlexW3179275439

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.