ArticleJournal of radiation research2019
Ionizing radiation affects the composition of the proteome of extracellular vesicles released by head-and-neck cancer cells in vitro.
Article in Journal of radiation research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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.
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.
Who cites it
44 citing papers in PubMed, 67 citations in OpenAlex.
- MALDI-TOF Mass Spectrometry for Glioblastoma Secretome Biomarker Screening: A Review of Challenges and Perspectives.Current issues in molecular biology · 2026Review
- Extracellular Vesicles in Diffuse Midline Glioma: Emerging Mediators of Radiation Response and Therapeutic Resistance.Cancers · 2026Review
- Article
- Article
- Non-coding Y RNA fragments in a complex with YBX1 modulate PARP1 residency at DNA double strand breaks.Nucleic acids research · 2025Article
- Mediation of radiation-induced bystander effect and epigenetic modification: The role of exosomes in cancer radioresistance.Heliyon · 2024Review
- Profile of miRNAs in small extracellular vesicles released from glioblastoma cells treated by boron neutron capture therapy.Journal of neuro-oncology · 2024Article
- Effect of radiotherapy on the DNA cargo and cellular uptake mechanisms of extracellular vesicles.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Review
- Proton Compared to X-Irradiation Induces Different Protein Profiles in Oral Cancer Cells and Their Derived Extracellular Vesicles.International journal of molecular sciences · 2023Article
- Exosomes in Cancer Progression and Therapy Resistance: Molecular Insights and Therapeutic Opportunities.Life (Basel, Switzerland) · 2023Review
- Abscopal Effect, Extracellular Vesicles and Their Immunotherapeutic Potential in Cancer Treatment.Molecules (Basel, Switzerland) · 2023Review
- The intercellular communications mediating radiation-induced bystander effects and their relevance to environmental, occupational, and therapeutic exposures.International journal of radiation biology · 2023Review
- Irradiation-induced exosomal HMGB1 to confer radioresistance via the PI3K/AKT/FOXO3A signaling pathway in ESCC.Journal of translational medicine · 2022Article
- Extracellular vesicles and particles impact the systemic landscape of cancer.The EMBO journal · 2022Review
- -Omics potential of in vitro skin models for radiation exposure.Cellular and molecular life sciences : CMLS · 2022Review
- The Footprint of Exosomes in the Radiation-Induced Bystander Effects.Bioengineering (Basel, Switzerland) · 2022Review
- An optimized method for the isolation of urinary extracellular vesicles for molecular phenotyping: detection of biomarkers for radiation exposure.Journal of translational medicine · 2022Article
- Radiation-Induced Bystander Effect Mediated by Exosomes Involves the Replication Stress in Recipient Cells.International journal of molecular sciences · 2022Article
- Multimerin-1 and cancer: a review.Bioscience reports · 2022Review
- Exosomes Derived from Radioresistant Breast Cancer Cells Promote Therapeutic Resistance in Naïve Recipient Cells.Journal of personalized medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exosomes and other extracellular vesicles are key players in cell-to-cell communication, and it has been proposed that they are involved in different aspects of the response to ionizing radiation, including transmitting the radiation-induced bystander effect and mediating radioresistance. The functional role of exosomes depends on their molecular cargo, including proteome content. Here we aimed to establish the proteome profile of exosomes released in vitro by irradiated UM-SCC6 cells derived from human head-and-neck cancer and to identify processes associated with radiation-affected proteins. Exosomes and other small extracellular vesicles were purified by size-exclusion chromatography from cell culture media collected 24 h after irradiation of cells with a single 2, 4 or 8 Gy dose, and then proteins were identified using a shotgun LC-MS/MS approach. Exosome-specific proteins encoded by 1217 unique genes were identified. There were 472 proteins whose abundance in exosomes was significantly affected by radiation (at any dose), including 425 upregulated and 47 downregulated species. The largest group of proteins affected by radiation (369 species) included those with increased abundance at all radiation doses (≥2 Gy). Several gene ontology terms were associated with radiation-affected exosome proteins. Among overrepresented processes were those involved in the response to radiation, the metabolism of radical oxygen species, DNA repair, chromatin packaging, and protein folding. Hence, the protein content of exosomes released by irradiated cells indicates their actual role in mediating the response to ionizing radiation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.