Evidence map›Paper›PMID 38020972›Full record

ArticleCell genomics2023

Genetic architecture of the acute and persistent immune cell response after radiation exposure.

Li He, Chenhan Zhong, Hang Chang, Jamie L Inman, Susan E Celniker, Myrsini Ioakeim-Ioannidou, Kevin X Liu, Daphne Haas-Kogan, Shannon M MacDonald, David W Threadgill and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

13 authors at 8 institutions in 2 countries.

Li HeDepartment of Hematology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei 430079, China.
Chenhan ZhongBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Hang ChangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Jamie L InmanBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Susan E CelnikerBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Myrsini Ioakeim-IoannidouDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA.
Kevin X LiuDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Daphne Haas-KoganDepartment of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Shannon M MacDonaldDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA.
David W ThreadgillTexas A&M Institute for Genome Sciences and Society, Texas A&M University, College Station, TX 77843, USA.
Scott C KoganDepartment of Laboratory Medicine, University of California, San Francisco, San Francisco, CA 94143, USA.
Jian-Hua MaoBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Antoine M SnijdersBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Lawrence Berkeley National Laboratory · USMassachusetts General Hospital · USUniversity of California, Berkeley · USBrigham and Women's Hospital · USHarvard University · USTexas A&M University · USUniversity of California, San Francisco · USWuhan University · CN

Funding

Genetic Determinants of Radiation induced Hematologic ToxicityR21AI145390 · NIAID · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI SNIJDERS, ANTOINE M · 2020 to 2021
$498k
NIAID NIH HHS R21 AI145390
6 · The paper itself

Abstract

Hematologic toxicity is a common side effect of multimodal cancer therapy. Nearly all animal studies investigating the causes of radiotherapy-induced hematologic toxicity use inbred strains with limited genetic diversity and do not reflect the diverse responses observed in humans. We used the population-based Collaborative Cross (CC) mouse resource to investigate the genetic architecture of the acute and persistent immune response after radiation exposure by measuring 22 immune parameters in 1,720 CC mice representing 35 strains. We determined relative acute and persistent radiation resistance scores at the individual strain level considering contributions from all immune parameters. Genome-wide association analysis identified quantitative trait loci associated with baseline and radiation responses. A cross-species radiation resistance score predicted recurrence-free survival in medulloblastoma patients. We present a community resource of immune parameters and genome-wide association analyses before and after radiation exposure for future investigations of the contributions of host genetics on radiosensitivity.

Indexed as

Collaborative Cross micecomplete blood countgenome-wide association studyhematologic toxicityradiation exposure

Identifiers

PMID38020972
PMCPMC10667298
OpenAlexW4387399241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.