Evidence map›Paper›PMID 33686953›Full record

ArticleAging2021

90K predicts the prognosis of glioma patients and enhances tumor lysate-pulsed DC vaccine for immunotherapy of GBM

Yu Zeng, Xin Chen

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 47% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
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

2 authors at 1 institution in 1 country.

Yu ZengDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.
Xin ChenDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.
Xiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the relationship between 90K expression with glioma malignancy and prognosis. Additionally, the enhancement effect of 90K in the Dendritic cell (DC) vaccine for Immunotherapy of glioblastoma (GBM) was evaluated

methodsThe expression of 90K protein in glioma tissues was detected by western blot. The relationship between the 90K expression and the tumor grade as well as the prognosis of patients was further analyzed by mining TCGA and CGGA database. The concentration of IL-12p70 and IL-10 was detected by ELISA. T lymphocyte proliferation and lethal effect of cytotoxic T cell (CTL) were detected by CCK-8.

resultsThe expression of 90K was significantly higher in glioma than normal tissue and increased with tumor grade (P< 0.05). Higher 90K expression was observed in IDH wildtype glioma than IDH mutant and predicted worse overall survival for glioma patients. The concentration of IL-12p70 and IFN-γ was the highest in the Apoptosis U251-90K-DC group, in which group the ability to kill U251 cells by CTL was also the strongest.

conclusion90K was a useful biomarker for glioma malignancy and patient prognosis. The appearance of 90K enhanced the effect of Apoptosis U251-DC vaccine for immunotherapy of GBM.

Indexed as

Antigens, NeoplasmBiomarkers, TumorBrain NeoplasmsCancer VaccinesDendritic CellsExtracellular Matrix ProteinsGliomaHumansImmunotherapyPrognosisAntigens, NeoplasmBiomarkers, TumorCancer VaccinesExtracellular Matrix ProteinsLGALS3BP protein, human90KDC vaccinegliomaimmunotherapyLGALS3BP

Identifiers

PMID33686953
PMCPMC8034892
OpenAlexW3133788751

What Socratic 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 Socratic graph.