Evidence map›Paper›PMID 27399113›Full record

ArticleMedicine2016

Integrative radiogenomic analysis for genomic signatures in glioblastomas presenting leptomeningeal dissemination.

Hye Jin You, Ho-Young Park, Jinkuk Kim, In-Hee Lee, Ho Jun Seol, Jung-Il Lee, Sung Tae Kim, Doo-Sik Kong, Do-Hyun Nam

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

9 authors at 2 institutions in 1 country.

Hye Jin YouDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea Departments of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Korea Institute for Refractory Cancer Research, Samsung Medical Center, Seoul, Korea Samsung Advanced Institute of Technology, Samsung Electronics Co. Ltd., Seoul, Korea Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ho-Young Park
Jinkuk Kim
In-Hee Lee
Ho Jun Seol
Jung-Il Lee
Sung Tae Kim
Doo-Sik Kong
Do-Hyun Nam
Samsung Medical Center · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite therapeutic advances, the prognosis for glioblastoma (GBM) remains poor. In particular, leptomeningeal dissemination (LMD) has a dismal prognosis. The aim of this study was to identify tumor molecular phenotype, which has a great propensity to develop LMD. Between May 2004 and December 2012, a total of 145 GBM tumor samples were obtained from data registry. A total of 20 of the 145 patients with GBM were found to develop LMD. A specialized radiologist confirmed the diagnosis of LMD on magnetic resonance imaging. To clarify the genomic signatures in GBM with LMD, we performed integrative analysis of whole transcriptome sequencing and copy number alteration in the radiological features indicating LMD phenotypes in GBM. Eleven newly diagnosed patients with GBM with LMD had worse prognosis than those without LMD (median 5.55 vs. 12.94 months, P < 0.0001). Integrating analysis using gene expression based on the change of copy number revealed that SPOCK1, EHD2, SLC2A3, and ANXA11 were highly expressed with the gain of copy number, compared with the gene expression in the non-LMD group. In addition, it was demonstrated that NME2, TMEM100, and SIVA1 were downregulated with the loss of copy number. We also found that mesenchymal subtype accounted for 50% in LMD group, whereas mesenchymal subtype consisted of 29% in non-LMD group, even though there was no statistical significance (P = 0.06). Through this radiogenomic analysis, we suggested the possibility of finding candidate genes associated with LMD and highlighted the significance of integrating approach to clarify the molecular characteristics in LMD.

Indexed as

AdolescentAdultAged, 80 and overBrain NeoplasmsFemaleGenomicsGlioblastomaHumansMaleMeningeal NeoplasmsMiddle AgedPhenotypePrognosisRegistriesSurvival Analysis

Identifiers

PMID27399113
PMCPMC5058842
OpenAlexW2463383259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.