Evidence map›Paper›PMID 32323826›Full record

ArticleOncology reports2020

Antitumor effect of lenalidomide in malignant glioma cell lines.

Yuya Hanashima, Emiko Sano, Koichiro Sumi, Yoshinari Ozawa, Chihiro Yagi, Juri Tatsuoka, Sodai Yoshimura, Shun Yamamuro, Takuya Ueda, Tomohiro Nakayama and 2 more

Abstract read
In one paragraph

Article in Oncology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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

12 authors.

Yuya HanashimaDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Emiko SanoDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277‑8562, Japan.
Koichiro SumiDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Yoshinari OzawaDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Chihiro YagiDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Juri TatsuokaDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Sodai YoshimuraDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Shun YamamuroDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Takuya UedaDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277‑8562, Japan.
Tomohiro NakayamaDivision of Companion Diagnostics, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Hiroyuki HaraDivision of Anatomical Science, Department of Functional Morphology, Nihon University School of Medicine, Tokyo 173‑8610, Japan.
Atsuo YoshinoDivision of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine, Tokyo 173‑8610, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is a malignant brain tumor exhibiting highly aggressive proliferation and invasion capacities. Despite treatment by aggressive surgical resection and adjuvant therapy including temozolomide and radiation therapy, patient prognosis remains poor. Lenalidomide, a derivative of thalidomide, is known to be an immunomodulatory agent that has been used to treat hematopoietic malignancies. There are numerous studies revealing an antitumor effect of lenalidomide in hematopoietic cells, but not in glioma cells. The present study aimed to demonstrate the antitumor effect of lenalidomide on malignant glioma cell lines. The growth inhibition of malignant glioma cells (A‑172, AM‑38, T98G, U‑138MG, U‑251MG, and YH‑13) by lenalidomide was assessed using a Coulter counter. The mechanism of the antitumor effect of lenalidomide was examined employing a fluorescence‑activated cell sorter, western blot analysis, and quantitative real‑time reverse transcriptional polymerase chain reaction (RT‑qPCR) in malignant glioma cell lines (A‑172, AM‑38). The results revealed that the number of malignant glioma cells was decreased in a concentration‑dependent manner by lenalidomide. DNA flow cytometric analysis demonstrated an increase in the ratio of cells at the G0/G1 phase following lenalidomide treatment. Western blot analysis and RT‑qPCR revealed that p53 activation and the expression of p21 were increased in glioma cells treated with lenalidomide. Western blot analysis revealed that cleavage of PARP did not occur; however, increased expression of Bax protein, cleavage of caspase‑9 and cleavage of caspase‑3 were confirmed. Analysis by FACS also supported the conclusion that little apoptosis induction occurred following lenalidomide treatment of malignant glioma cell lines. In conclusion, lenalidomide exerts an antitumor effect on glioma cells due to alterations in cell cycle distribution.

Indexed as

Brain NeoplasmsCell CycleCell Line, TumorCell ProliferationCell SurvivalCyclin-Dependent Kinase Inhibitor p21Dose-Response Relationship, DrugDrug Screening Assays, AntitumorGene Expression Regulation, NeoplasticGlioblastomaHumansLenalidomideTranscriptional ActivationTumor Suppressor Protein p53CDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21LenalidomideTP53 protein, humanTumor Suppressor Protein p53apoptosiscell cycle arrestdrug repositioninglenalidomidemalignant glioma

Identifiers

PMID32323826
PMCPMC7108053

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Registered trials

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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.