Evidence map›Paper›PMID 26488758›Full record

ArticleRadiation research2015

FAS Death Receptor: A Breast Cancer Subtype-Specific Radiation Response Biomarker and Potential Therapeutic Target.

Janet K Horton, Sharareh Siamakpour-Reihani, Chen-Ting Lee, Ying Zhou, Wei Chen, Joseph Geradts, Diane R Fels, Peter Hoang, Kathleen A Ashcraft, Jeff Groth and 3 more

Open access · greenAbstract readClinical Trial, Phase I
In one paragraph

Article in Radiation research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 31 citations in OpenAlex.

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  11. FOXO1 and hsa-microRNA-204-5p affect the biologic behavior of MDA-MB-231 breast cancer cells.International journal of clinical and experimental pathology · 2020
    Article
  12. Review
  13. Ly6GCell death and differentiation · 2019
    Article
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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

13 authors at 2 institutions in 1 country.

Janet K Hortona  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Sharareh Siamakpour-Reihania  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Chen-Ting Leea  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Ying Zhoua  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Wei Chenb  Department of Bioinformatics at Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina.
Joseph Geradtsc  Department of Pathology, Duke University Medical Center, Durham, North Carolina.
Diane R Felsa  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Peter Hoanga  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Kathleen A Ashcrafta  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Jeff Grothc  Department of Pathology, Duke University Medical Center, Durham, North Carolina.
Hsiu-Ni Kungd  Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina.
Mark W Dewhirsta  Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
Jen-Tsan A Chid  Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina.
Duke Medical Center · USDuke University Hospital · US

Funding

Interdisciplinary Research Careers in Women's HealthK12HD043446 · NICHD · DUKE UNIVERSITY · PI AMUNDSEN, CINDY · 2002 to 2023
$9.6M
Gene expression programs of lactic acidosis in human cancersR01CA125618 · NCI · DUKE UNIVERSITY · PI CHI, JEN-TSAN ASHLEY · 2007 to 2016
$3.3M
Oncogenic Gene Regulatory NetworksR01CA106520 · NCI · DUKE UNIVERSITY · PI CHI, JEN-TSAN ASHLEY · 2005 to 2014
$2.9M
NCI NIH HHS CA106520NCI NIH HHS CA125618NCI NIH HHS R01 CA106520NCI NIH HHS R01 CA125618NICHD NIH HHS K12 HD043446NICHD NIH HHS K12HD043446
6 · The paper itself

Abstract

Although a standardized approach to radiotherapy has been used to treat breast cancer, regardless of subtype (e.g., luminal, basal), recent clinical data suggest that radiation response may vary significantly among subtypes. We hypothesized that this clinical variability may be due, in part, to differences in cellular radiation response. In this study, we utilized RNA samples for microarray analysis from two sources: 1. Paired pre- and postirradiation breast tumor tissue from 32 early-stage breast cancer patients treated in our unique preoperative radiation Phase I trial; and 2. Sixteen biologically diverse breast tumor cell lines exposed to 0 and 5 Gy irradiation. The transcriptome response to radiation exposure was derived by comparing gene expression in samples before and after irradiation. Genes with the highest coefficient of variation were selected for further evaluation and validated at the RNA and protein level. Gene editing and agonistic antibody treatment were performed to assess the impact of gene modulation on radiation response. Gene expression in our cohort of luminal breast cancer patients was distinctly different before and after irradiation. Further, two distinct patterns of gene expression were observed in our biologically diverse group of breast cancer cell lines pre- versus postirradiation. Cell lines that showed significant change after irradiation were largely luminal subtype, while gene expression in the basal and HER2+ cell lines was minimally impacted. The 100 genes with the most significant response to radiation in patients were identified and analyzed for differential patterns of expression in the radiation-responsive versus nonresponsive cell lines. Fourteen genes were identified as significant, including FAS, a member of the tumor necrosis factor receptor family known to play a critical role in programed cell death. Modulation of FAS in breast cancer cell lines altered radiation response phenotype and enhanced radiation sensitivity in radioresistant basal cell lines. Our findings suggest that cell-type-specific, radiation-induced FAS contributes to subtype-specific breast cancer radiation response and that activation of FAS pathways may be exploited for biologically tailored radiotherapy.

Indexed as

Molecular Targeted TherapyBiomarkers, TumorBreast NeoplasmsCell Line, Tumorfas ReceptorFemaleGenes, p53HumansMiddle AgedOligonucleotide Array Sequence AnalysisPhenotypeProtein TransportRadiation ToleranceTranscriptional ActivationTranscriptomeBiomarkers, Tumorfas Receptor

Identifiers

PMID26488758
PMCPMC4671819
OpenAlexW2152334189

What OpenQuestion holds

Textmetadata
LicenceTDM
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.