Evidence map›Paper›PMID 35145371›Full record

ReviewEXCLI journal2022

Prognostic significance and therapeutic potentials of immune checkpoints in osteosarcoma.

Vafa Meftahpour, Ali Aghebati-Maleki, Ali Fotouhi, Elham Safarzadeh, Leili Aghebati-Maleki

Open access · greenAbstract readReview
In one paragraph

Review in EXCLI journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 27 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

5 authors at 2 institutions in 1 country.

Vafa MeftahpourImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ali Aghebati-MalekiStem Cell Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ali FotouhiDepartment of Orthopedic Surgery, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Elham SafarzadehDepartment of Microbiology, Parasitology, and Immunology, Ardabil University of Medical Sciences, Ardabil, Iran.
Leili Aghebati-MalekiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IRArdabil University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although there exist manifold strategies for cancer treatment, researchers are obliged to develop novel treatments based on the challenges that arise. One of these recent treatment approaches is cancer immunotherapy, which enjoys various types of strategies itself. However, one of the most significant methods, in this regard, is employing immune checkpoint proteins (ICPs). Bone sarcomas have several subtypes, with the most common ones being chordoma, chondrosarcoma, Ewing sarcoma, and osteosarcoma. Although many aggressive treatment approaches, including radiotherapy, chemotherapy, and surgical resection, have been employed over the last decades, significantly improved outcomes have not been observed for Ewing sarcoma or osteosarcoma patients. Additionally, chordoma and chdrosarcoma resist against both radiation and chemotherapy. Accordingly, elucidating how recent therapies could affect bone sarcomas is necessary. Checkpoint inhibitors have attracted great attention for the treatment of several cancer types, including bone sarcoma. Herein, the recent advances of current immune checkpoint targets, such as anti-PD-1/PD-L1 and anti-CTLA-4 blockade, for the treatment of bone sarcoma have been reviewed.

Indexed as

immune checkpointsosteosarcomatherapeutic potentials

Identifiers

PMID35145371
PMCPMC8822307
OpenAlexW4211131192

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.