Evidence map›Paper›PMID 26290143›Full record

ArticleJournal of neuro-oncology2015

A novel nanoparticle containing neuritin peptide with grp170 induces a CTL response to inhibit tumor growth.

Bangqing Yuan, Hanchao Shen, Tonggang Su, Li Lin, Ting Chen, Zhao Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Neuritin 1 expression in human normal tissues and its association with various human cancers.International journal of clinical and experimental pathology · 2018
    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

6 authors at 2 institutions in 1 country.

Bangqing YuanDepartment of Neurosurgery, The 476th Hospital of PLA, Fuzhou, Fujian, 350025, China.
Hanchao ShenDepartment of Neurosurgery, The 476th Hospital of PLA, Fuzhou, Fujian, 350025, China.
Tonggang SuDepartment of Neurosurgery, The 476th Hospital of PLA, Fuzhou, Fujian, 350025, China.
Li LinDepartment of Neurosurgery, The 476th Hospital of PLA, Fuzhou, Fujian, 350025, China.
Ting ChenDepartment of Neurology, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Zhao YangDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, 402160, China. yangzhao5140@sohu.com.
Army Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant glioma is among the most challenging of all cancers to treat successfully. Despite recent advances in surgery, radiotherapy and chemotherapy, current treatment regimens have only a marginal impact on patient survival. In this study, we constructed a novel nanoparticle containing neuritin peptide with grp170. The nanoparticle could elicit a neuritin-specific cytotoxic T lymphocyte response to lyse glioma cells in vitro. In addition, the nanoparticle could inhibit tumor growth and improve the lifespan of tumor-bearing mice in vivo. Taken together, the results demonstrated that the nanoparticle can inhibit tumor growth and represents a promising therapy for glioma.

Indexed as

AnimalsBrain NeoplasmsCell Line, TumorChromiumDisease Models, AnimalEnzyme-Linked Immunosorbent AssayFlow CytometryGliomaGlycoproteinsHSP70 Heat-Shock ProteinsHumansLymphocyte ActivationMaleMiceMice, Inbred BALB CMice, Inbred NODChromiumglucose-regulated protein 170GlycoproteinsHSP70 Heat-Shock ProteinsPeptidesCTLGrp170NanoparticleNeuritin

Identifiers

PMID26290143
OpenAlexW1176059733

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.