Evidence map›Paper›PMID 30197793›Full record

ArticleCancer biology & medicine2018

Autophagic flux response and glioblastoma sensitivity to radiation.

Achilleas G Mitrakas, Dimitra Kalamida, Alexandra Giatromanolaki, Stamatia Pouliliou, Avgi Tsolou, Rafail Kyranas, Michael I Koukourakis

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

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  12. Tumor microenvironment, immune response and post-radiotherapy tumor clearance.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
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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

7 authors at 1 institution in 1 country.

Achilleas G MitrakasDepartment of Radiotherapy/Oncology.
Dimitra KalamidaDepartment of Radiotherapy/Oncology.
Alexandra GiatromanolakiDepartment of Pathology, Democritus University of Thrace, and University General Hospital of Alexandroupolis, Alexandroupolis 68100, Greece.
Stamatia PouliliouDepartment of Radiotherapy/Oncology.
Avgi TsolouDepartment of Radiotherapy/Oncology.
Rafail KyranasDepartment of Radiotherapy/Oncology.
Michael I KoukourakisDepartment of Radiotherapy/Oncology.
Democritus University of Thrace · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGlioblastoma is the most common primary brain tumor in adults and one of the most lethal human tumors. It constitutes a unique non-metastasizing human tumor model with high resistance to radiotherapy and chemotherapy. The current study investigates the association between autophagic flux and glioblastoma cell resistance.

methodsThe expression kinetics of autophagy- and lysosome-related proteins following exposure of two glioblastoma cell lines (T98 and U87) to clinically relevant radiation doses was examined. Then, the response of cells resistant to radiotherapy and chemotherapy was investigated after silencing of

resultsFollowing irradiation with 4 Gy, the relatively radioresistant T98 cells exhibited enhanced autophagic flux. The more radiosensitive U87 cell line suffered a blockage of autophagic flux. Silencing of

conclusionsAutophagy in cancer cells may be a key factor of radio-resistance and chemo-resistance in glioblastoma cells. Blocking autophagy may improve the efficacy of radiochemotherapy for glioblastoma patients.

Indexed as

autophagyGlioblastomaradiationtemozolomideTFEB

Identifiers

PMID30197793
PMCPMC6121047
OpenAlexW2888426374

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.