Evidence map›Paper›PMID 30117304›Full record

ArticleCancer medicine2018

Molecular profiles of tumor contrast enhancement: A radiogenomic analysis in anaplastic gliomas.

Xing Liu, Yiming Li, Zhiyan Sun, Shaowu Li, Kai Wang, Xing Fan, Yuqing Liu, Lei Wang, Yinyan Wang, Tao Jiang

Abstract read
In one paragraph

Article in Cancer medicine, 2018. 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
–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

11 citing papers in PubMed.

  1. Review
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  4. Article
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  6. Article
  7. Radiomic biomarkers of tumor immune biology and immunotherapy response.Clinical and translational radiation oncology · 2021
    Review
  8. Review
  9. Article
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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

10 authors.

Xing LiuBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yiming LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Zhiyan SunBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Shaowu LiNeurological Imaging Center, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Kai WangDepartment of Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xing FanBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yuqing LiuMolecular Pathology Center, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Lei WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yinyan WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Tao JiangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-7008-6351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of contrast enhancement (CE) on magnetic resonance (MR) imaging is conventionally regarded as an indicator for tumor malignancy. However, the biological behaviors and molecular mechanism of enhanced tumor are not well illustrated. The aim of this study was to investigate the molecular profiles associated with anaplastic gliomas (AGs) presenting CE on postcontrast T1-weighted MR imaging. In this retrospective database study, RNA sequencing and MR imaging data of 91 AGs from the Cancer Genome Atlas (TCGA) and 64 from the Chinese Glioma Genome Atlas (CGGA) were collected. Gene set enrichment analysis (GSEA), significant analysis of microarray, generalized linear models, and Least absolute shrinkage and selection operator algorithm were used to explore radiogenomic and prognostic signatures of AG patients. GSEA indicated that angiogenesis and epithelial-mesenchymal transition were significantly associated with post-CE. Genes driving immune system response, cell proliferation, and focal adhesions were also significantly enriched. Gene ontology of 237 differential genes indicated consistent results. A 48-gene signature for CE was identified in TCGA and validated in CGGA dataset (area under the curve = 0.9787). Furthermore, seven genes derived from the CE-specific signature could stratify AG patients into two subgroups based on overall survival time according to corresponding risk score. Comprehensive analysis of post-CE and genomic characteristics leads to a better understanding of radiology-pathology correlations. Our gene signature helps interpret the occurrence of radiological traits and predict clinical outcomes. Additionally, we found nine prognostic quantitative radiomic features of CE and investigated the underlying biological processes of them.

Indexed as

Magnetic Resonance ImagingTranscriptomeAdultAgedBiomarkers, TumorComputational BiologyFemaleGene Expression ProfilingGene OntologyGliomaHigh-Throughput Nucleotide SequencingHumansImage Processing, Computer-AssistedMaleMiddle AgedMolecular Sequence AnnotationBiomarkers, Tumoranaplastic gliomapostcontrast enhancementradiogenomic analysistranscriptome

Identifiers

PMID30117304
PMCPMC6144143

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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.