Evidence map›Paper›PMID 33693953›Full record

ArticleInternational journal of molecular medicine2021

Sai Hu, Dafei Xie, Pingkun Zhou, Xiaodan Liu, Xiaoyao Yin, Bo Huang, Hua Guan

Open access · bronzeAbstract read
In one paragraph

Article in International journal of molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

7 authors at 3 institutions in 1 country.

Sai HuInstitute for Environmental Medicine and Radiation Hygiene, School of Public Health, University of South China, Hengyang, Hunan 421001, P.R. China.
Dafei XieDepartment of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, P.R. China.
Pingkun ZhouInstitute for Environmental Medicine and Radiation Hygiene, School of Public Health, University of South China, Hengyang, Hunan 421001, P.R. China.
Xiaodan LiuDepartment of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, P.R. China.
Xiaoyao YinCollege of Computer, National University of Defence Technology, Changsha, Hunan 410073, P.R. China.
Bo HuangInstitute for Environmental Medicine and Radiation Hygiene, School of Public Health, University of South China, Hengyang, Hunan 421001, P.R. China.
Hua GuanDepartment of Radiation Biology, Beijing Key Laboratory for Radiobiology, Beijing Institute of Radiation Medicine, Beijing 100850, P.R. China.
Beijing Radiation Center · CNUniversity of South China · CNNational University of Defense Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radioresistance is the predominant cause for radiotherapy failure and disease progression, resulting in increased breast cancer‑associated mortality. Using gene expression signature analysis of the Library of Integrated Network‑Based Cellular Signatures (LINCS) and Gene Expression Omnibus (GEO), the aim of the present study was to systematically identify potential candidate radiosensitizers from known drugs. The similarity of integrated gene expression signatures between irradiated eukaryotic translation initiation factor 4 γ 1 (eIF4G1)‑silenced breast cancer cells and known drugs was measured using enrichment scores (ES). Drugs with positive ES were selected as potential radiosensitizers. The radiosensitizing effects of the candidate drugs were analyzed in breast cancer cell lines (MCF‑7, MX‑1 and MDA‑MB‑231) using CCK‑8 and colony formation assays following exposure to ionizing radiation. Cell apoptosis was measured using flow cytometry. The expression levels of eIF4G1 and DNA damage response (DDR) proteins were analyzed by western blotting. Bosutinib was identified as a promising radiosensitizer, as its administration markedly reduced the dosage required both for the drug and for ionizing radiation, which may be associated with fewer treatment‑associated adverse reactions. Moreover, combined treatment of ionizing radiation and bosutinib significantly increased cell killing in all three cell lines, compared with ionizing radiation or bosutinib alone. Among the three cell lines, MX‑1 cells were identified as the most sensitive to both ionizing radiation and bosutinib. Bosutinib markedly downregulated the expression of eIF4G1 in a dose‑dependent manner and also reduced the expression of DDR proteins (including ATM, XRCC4, ATRIP, and GADD45A). Moreover, eIF4G1 was identified as a key target of bosutinib that may regulate DNA damage induced by ionizing radiation. Thus, bosutinib may serve as a potential candidate radiosensitizer for breast cancer therapy.

Indexed as

Databases, Nucleic AcidAniline CompoundsBreast NeoplasmsEukaryotic Initiation Factor-4GFemaleGene Expression Regulation, NeoplasticHumansNeoplasm ProteinsNitrilesQuinolinesRadiation-Sensitizing AgentsTranscriptomeAniline CompoundsbosutinibEIF4G1 protein, humanEukaryotic Initiation Factor-4GNeoplasm ProteinsNitrilesQuinolinesRadiation-Sensitizing Agentsbosutinibdrug repositioneIF4G1enrichment scoreLINCSradiosensitization

Identifiers

PMID33693953
PMCPMC7952247
OpenAlexW3135081115

What OpenQuestion holds

Textmetadata
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.