Cited by 190Extracellular vesicles in diseaseMicroRNA in disease regulationGlioma Diagnosis and Treatment

RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls

Open access
Noerholm, Mikkel, Balaj, Leonora, Limperg, Tobias, Salehi, Afshin, Zhu, Lin Dan, Hochberg, Fred H, Breakefield, Xandra O, Carter, Bob S +1 more·2012·BMC Cancer

Abstract

BACKGROUND: RNA from exosomes and other microvesicles contain transcripts of tumour origin. In this study we sought to identify biomarkers of glioblastoma multiforme in microvesicle RNA from serum of affected patients. METHODS: Microvesicle RNA from serum from patients with de-novo primary glioblastoma multiforme (N = 9) and normal controls (N = 7) were analyzed by microarray analysis. Samples were collected according to protocols approved by the Institutional Review Board. Differential expressions were validated by qRT-PCR in a separate set of samples (N = 10 in both groups). RESULTS: Expression profiles of microvesicle RNA correctly separated individuals in two groups by unsupervised clustering. The most significant differences pertained to down-regulated genes (121 genes > 2-fold down) in the glioblastoma multiforme patient microvesicle RNA, validated by qRT-PCR on several genes. Overall, yields of microvesicle RNA from patients was higher than from normal controls, but the additional RNA was primarily of size < 500 nt. Gene ontology of the down-regulated genes indicated these are coding for ribosomal proteins and genes related to ribosome production. CONCLUSIONS: Serum microvesicle RNA from patients with glioblastoma multiforme has significantly down-regulated levels of RNAs coding for ribosome production, compared to normal healthy controls, but a large overabundance of RNA of unknown origin with size < 500 nt.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1471-2407-12-22

Cites

42 of 42 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Tumor-derived EVs remain a small minority of total EVs in a biofluid sample, so sensitivity of detection remains a major challenge in tumor-specific biomarker development.

    “Relative to this population, EVs derived from tumors remain a small minority of total EVs isolated in a given biofluid sample [118]. Thus, the sensitivity of detection remains a major challenge in tumor-specific biomarker development.”

    From Biogenesis of extracellular vesicles (EV): exosomes, microvesicles, retrovirus-like vesicles, and apoptotic bodies (2013) · cites this paper as [118]

    The Discussion says tumour-derived microvesicles in blood are likely to constitute a relatively small fraction of the total in many cases. The citing sentence presents this as categorical and extends it to biofluid samples generally; the cited paper's passage is qualified and concerns blood. The following sentence about detection sensitivity is the citing authors' inference, not a separately cited claim. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • mRNA profiling of serum-derived EV contents can discriminate between healthy and glioblastoma-bearing patients, and IDH-1, EGFRvIII, and c-myc alterations have been detected in EVs from glioblastoma or medulloblastoma samples.

    “For example, mRNA profiling of serum derived EV contents can discriminate between healthy and glioblastoma bearing patients [118]. IDH-1 (isocitrate dehydrogenase 1) transcripts have been detected from EVs isolated from the blood of glioblastoma bearing patients using immunoisolations of EVs targeting CD63 [119].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

1 retracted

Flagged first, then by citations

Research works printed but not linked: 1

  1. Stedman's Medical Dictionary 2000 27 Lippincott Williams & Wilkins

Cited by

Sorted by citations

Authors
Noerholm, M., Balaj, L., Limperg, T., Salehi, A., Zhu, L. D., Hochberg, F. H., Breakefield, X. O., Carter, B. S., & Skog, J.
Affiliations
Harvard University (US)
Corresponding author
Noerholm, Mikkel
Venue
BMC Cancer
Published
2012-01-17
Volume
12
Issue
1
Pages
22-22
ISSN
1471-2407 (ISSN-L)
OpenAlex
W2118369903
Cited by
190
References
42
Citations by year
2026: 2 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 13 · 2020: 10 · 2019: 16 · 2018: 18 · 2017: 12 · 2016: 17 · 2015: 20 · 2014: 28 · 2013: 25 · 2012: 6
FWCI
10.16
Type
journal article
Language
en
Open access
Locations
  • BMC Cancer (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Cancer Institute (R21CA156009, P01CA069246, CA069246, CA156009, R21CA141226, CA141226)
  • National Institute of Neurological Disorders and Stroke (P30NS045776)
  • National Center for Research Resources (UL1RR025758)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
Keywords
glioblastoma, exosomes, tumour biomarkers, ribosomal proteins, ribosome biogenesis, gene expression profiling, differential gene expression, liquid biopsy
MeSH terms
Brain Neoplasms, Glioblastoma, Humans, RNA, Neoplasm, Subcellular Fractions, Biomarkers, Tumor, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, Microarray Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review