Evidence map›Paper›PMID 31745161›Full record

ArticleScientific reports2019

Intratumoral Susceptibility Signals Reflect Biomarker Status in Gliomas.

Ling-Wei Kong, Jin Chen, Heng Zhao, Kun Yao, Sheng-Yu Fang, Zheng Wang, Yin-Yan Wang, Shou-Wei Li

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

8 authors.

Ling-Wei KongDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Jin ChenDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Heng ZhaoDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Kun YaoDepartment of Pathology, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Sheng-Yu FangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Zheng WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yin-Yan WangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China. tiantanyinyan@126.com.
Shou-Wei LiDepartment of Neurosurgery, Sanbo Brain Hospital, Capital Medical University, Beijing, China. 15011339604@163.com.ORCID http://orcid.org/0000-0002-4409-6257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Susceptibility-weighted imaging (SWI) can be a useful tool to depict vascular structures in brain tumors as well as micro-bleedings, which represent tumor invasion to blood vessels and could also be representative of tumoral angiogenesis. In this study, we investigated the relationship between SWI features and glioma grades, and the expression of key molecular markers isocitrate dehydrogenase 1 (IDH1), O-6-methylguanine-DNA methyltransferase (MGMT), and 1p19q. The gliomas were graded according to the intratumoral susceptibility signals (ITSS). We used the Mann-Whitney test to analyze the relationship between ITSS grades and the pathological level and status of these markers. Additionally, the area under the curve (AUC) was used to determine the predictive value of glioma SWI characteristics for the molecular marker status. In these cases, the ITSS grades of low-grade gliomas (LGG) were significantly lower than those of high-grade gliomas (HGG). Similarly, the ITSS grades of gliomas with IDH1 mutations and MGMT methylation were significantly lower than those of gliomas with Wild-type IDH1 and unmethylated MGMT. However, ITSS grades showed no relationship with 1p19q deletion status, while they did show significant predictive ability for glioma grade, IDH1 mutation, and MGMT methylation. These findings indicate an association between some molecular markers and cerebral microbleeds in gliomas, providing a new avenue for non-invasive prediction of molecular genetics in gliomas and an important basis for preoperative personalized surgical treatment based on molecular pathology.

Indexed as

MutationAdolescentAdultAgedBiomarkers, TumorBrain NeoplasmsDNA Modification MethylasesDNA Repair EnzymesFemaleFollow-Up StudiesGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance ImagingMaleMiddle AgedBiomarkers, TumorDNA Modification MethylasesDNA Repair EnzymesIsocitrate DehydrogenaseMGMT protein, humanTumor Suppressor Proteins

Identifiers

PMID31745161
PMCPMC6863858

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.