Evidence map›Paper›PMID 22492962›Full record

ArticleNeuro-oncology2012

MicroRNAs in cerebrospinal fluid identify glioblastoma and metastatic brain cancers and reflect disease activity.

Nadiya M Teplyuk, Brit Mollenhauer, Galina Gabriely, Alf Giese, Ella Kim, Michael Smolsky, Ryan Y Kim, Marlon G Saria, Sandra Pastorino, Santosh Kesari and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 1% 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

187 citing papers in PubMed, 2 syntheses or guidelines pooled it, 299 citations in OpenAlex.

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  19. Intracellular and Extracellular Vesicle miRNA Signatures in Human iPSC-Derived Neural Stem Cells and Floor Plate Progenitors.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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127 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Nadiya M TeplyukDepartment of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Brit Mollenhauer
Galina Gabriely
Alf Giese
Ella Kim
Michael Smolsky
Ryan Y Kim
Marlon G Saria
Sandra Pastorino
Santosh Kesari
Anna M Krichevsky
Paracelsus Elena Klinik Kassel · DEUniversity of Göttingen · DEUniversity of California, San Diego · USBrigham and Women's Hospital · USHarvard University · USUniversitätsmedizin Göttingen · DE

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
Validation of microRNA Targets in GliomaR01CA138734 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KRICHEVSKY, ANNA M. · 2010 to 2014
$1.7M
Role of Olig Genes in Human GliomagenesisK08CA124804 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KESARI, SANTOSH · 2007 to 2011
$704k
NCI NIH HHS 3P30CA023100-25S8NCI NIH HHS K08CA124804NCI NIH HHS P30 CA023100NCI NIH HHS R01 CA138734NCI NIH HHS R01CA138734-01A1
6 · The paper itself

Abstract

An accurate, nonsurgical diagnostic test for brain tumors is currently unavailable, and the methods of monitoring disease progression are not fully reliable. MicroRNA profiling of biological fluids has recently emerged as a diagnostic tool for several pathologic conditions. Here we tested whether microRNA profiling of cerebrospinal fluid (CSF) enables detection of glioblastoma, discrimination between glioblastoma and metastatic brain tumors, and reflects disease activity. We determined CSF levels of several cancer-associated microRNAs for 118 patients diagnosed with different types of brain cancers and nonneoplastic neuropathologies by quantitative reverse transcription PCR analysis. The levels of miR-10b and miR-21 are found significantly increased in the CSF of patients with glioblastoma and brain metastasis of breast and lung cancer, compared with tumors in remission and a variety of nonneoplastic conditions. Members of the miR-200 family are highly elevated in the CSF of patients with brain metastases but not with any other pathologic conditions, allowing discrimination between glioblastoma and metastatic brain tumors. Quantification of as few as 7 microRNAs in CSF enables differential recognition of glioblastoma and metastatic brain cancer using computational machine learning tools (Support Vector Machine) with high accuracy (91%-99%) on a test set of samples. Furthermore, we show that disease activity and treatment response can be monitored by longitudinal microRNA profiles in the CSF of glioblastoma and non-small cell lung carcinoma patients. This study demonstrates that microRNA-based detection of brain malignancies can be reliably performed and that microRNAs in CSF can serve as biomarkers of treatment response in brain cancers.

Indexed as

AdenocarcinomaBiomarkers, TumorBrain NeoplasmsCarcinoma, Non-Small-Cell LungGene Expression Regulation, NeoplasticGlioblastomaHumansLung NeoplasmsMicroRNAsNeoplasm GradingOligonucleotide Array Sequence AnalysisPrognosisSupport Vector MachineBiomarkers, TumorMicroRNAs

Identifiers

PMID22492962
PMCPMC3367845
OpenAlexW2125736017

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.