Evidence map›Paper›PMID 34807310›Full record

ArticleJournal of cancer research and clinical oncology2022

Expressions and significances of CTSL, the target of COVID-19 on GBM.

Qiang Dong, Qiao Li, Lei Duan, Hongyu Wang, Yunji Yan, Hang Yin, Liang Niu, He Zhang, Bo Wang, Guoqiang Yuan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2022. 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
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. COVID-19 receptor and malignant cancers: Association ofInternational journal of biological sciences · 2022
    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

11 authors at 2 institutions in 1 country.

Qiang Dong *Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Qiao Li *Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Lei DuanDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Hongyu WangDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Yunji YanDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Hang YinDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Liang NiuDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
He ZhangDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Bo WangDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China.
Guoqiang YuanKey Laboratory of Neurology of Gansu Province, Lanzhou, 730030, Gansu, People's Republic of China. yuangq08@lzu.edu.cn.
Yawen PanDepartment of Neurosurgery, Lanzhou University Second Hospital, Lanzhou, 730030, Gansu, People's Republic of China. panyw2018@163.com.ORCID http://orcid.org/0000-0002-2247-8027
Lanzhou University Second Hospital · CNMinzu University of China · CN

Funding

key science and technology foundation of gansu province 18JR3RA309key science and technology foundation of gansu province 18JR3RA365key science and technology foundation of gansu province 20JR10RA741key science and technology foundation of gansu province 20JR10RA766key science and technology foundation of gansu province GSWSKY-2014-31key science and technology foundation of gansu province GSWSKY-2015-58key science and technology foundation of gansu province GSWSKY2018-01lanzhou science and technology bureau 2018-1-109national natural science foundation of china 81960541national natural science foundation of china 82060455
6 · The paper itself

Abstract

introductionCathepsin L (CTSL) is a kind of the SARS-entry-associated CoV-2's proteases, which plays a key role in the virus's entry into the cell and subsequent infection. We investigated the association between the expression level of CTSL and overall survival in Glioblastoma multiforme (GBM) patients, to better understand the possible route and risks of new coronavirus infection for patients with GBM.

methodsThe expression level of CTSL in GBM was analyzed using TCGA and CGGA databases. The relationship between CTSL and immune infiltration levels was analyzed by means of the TIMER database. The impact of CTSL inhibitors on GBM biological activity was tested.

resultsThe findings revealed that GBM tissues had higher CTSL expression levels than that of normal brain tissues, which was associated with a significantly lower survival rate in GBM patients. Meanwhile, the expression level of CTSL negatively correlated with purity, B cell and CD8

conclusionAccording to the findings, CTSL acts as an independent prognostic factor and can be considered as promising therapeutic target for GBM.

Indexed as

ApoptosisBiomarkers, TumorCase-Control StudiesCathepsin LCell ProliferationCOVID-19COVID-19 Drug TreatmentDipeptidesFemaleGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticGlioblastomaHumansMaleMiddle AgedPrognosisBiomarkers, TumorCathepsin LCTSL protein, humanDipeptidesphenylalanyl-glycyl-NHO-BzCOVID-19CTSLGlioblastomaImmune cell infiltrationPrognosis

Identifiers

PMID34807310
PMCPMC8607410
OpenAlexW3174793759

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.