Evidence map›Paper›PMID 33179539›Full record

ArticleBone & joint research2020

Anti-tumour effect of tocilizumab for osteosarcoma cell lines.

Tomohito Hagi, Tomoki Nakamura, Kouji Kita, Takahiro Iino, Kunihiro Asanuma, Akihiro Sudo

Open access · goldAbstract read
In one paragraph

Article in Bone & joint research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Tomohito HagiDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.ORCID http://orcid.org/0000-0002-2937-3447
Tomoki NakamuraDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.ORCID http://orcid.org/0000-0002-1099-7436
Kouji KitaDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.
Takahiro IinoDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.
Kunihiro AsanumaDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.
Akihiro SudoDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.
Mie University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTocilizumab, an interleukin-6 (IL-6) receptor (IL-6R) targeting antibody, enhances the anti-tumour effect of conventional chemotherapy in preclinical models of cancer. We investigated the anti-tumour effect of tocilizumab in osteosarcoma (OS) cell lines.

methodsWe used the 143B, HOS, and Saos-2 human OS cell lines. We first analyzed the IL-6 gene expression and IL-6Rα protein expression in OS cells using reverse transcription real time quantitative-polymerase chain reaction (RT-qPCR) analysis and western blotting, respectively. We also assessed the effect of tocilizumab on OS cells using proliferation and invasion assay.

resultsThe OS cell lines 143B, HOS, and Saos-2 expressed IL-6R. Recombinant human IL-6 treatment increased proliferation of 143B and HOS cells. Tocilizumab treatment decreased proliferation and invasion of 143B, HOS, and Saos-2.

conclusionIn conclusion, we confirmed the production of IL-6 and the expression of IL-6R in OS cells and demonstrated that tocilizumab inhibits proliferation and invasion in OS cells. Cite this article:

Indexed as

Anti-tumour effectInterleukin-6Interleukin-6 receptorOsteosarcomaTocilizumab

Identifiers

PMID33179539
PMCPMC7672325
OpenAlexW3103928697

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.