Transcriptional profiling of dividing tumor cells detects intratumor heterogeneity linked to cell proliferation in a brain tumor model
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
26388584
PubMed Central
PMC5528932
DOI
10.1016/j.molonc.2015.09.001
PII: S1574-7891(15)00151-9
Knihovny.cz E-zdroje
- Klíčová slova
- Click chemistry, Gene profiling, Intratumor heterogeneity, Proliferation,
- MeSH
- genetická transkripce * MeSH
- gliom patologie MeSH
- heterografty MeSH
- lidé MeSH
- myši inbrední NOD MeSH
- myši SCID MeSH
- myši MeSH
- nádorové buněčné linie MeSH
- nádory mozku patologie MeSH
- proliferace buněk * MeSH
- stanovení celkové genové exprese * MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Intratumor heterogeneity is a primary feature of high-grade gliomas, complicating their therapy. As accumulating evidence suggests that intratumor heterogeneity is a consequence of cellular subsets with different cycling frequencies, we developed a method for transcriptional profiling of gliomas, using a novel technique to dissect the tumors into two fundamental cellular subsets, namely, the proliferating and non-proliferating cell fractions. The tumor fractions were sorted whilst maintaining their molecular integrity, by incorporating the thymidine analog 5-ethynyl-2'-deoxyuridine into actively dividing cells. We sorted the actively dividing versus non-dividing cells from cultured glioma cells, and parental and clonally derived orthotopic tumors, and analyzed them for a number of transcripts. While there was no significant difference in the transcriptional profiles between the two cellular subsets in cultured glioma cells, we demonstrate ∼2-6 fold increase in transcripts of cancer and neuronal stem cell and tumor cell migration/invasion markers, and ∼2-fold decrease in transcripts of markers of hypoxia and their target genes, in the dividing tumor cells of the orthotopic glioma when compared to their non-proliferative counterparts. This suggests the influence of the brain microenvironment in transcriptional regulation and, thereby, the physiology of glioma cells in vivo. When clonal glioma cells were derived from a parental glioma and the resultant orthotopic tumors were compared, their transcriptional profiles were closely correlated to tumor aggression and consequently, survival of the experimental animals. This study demonstrates the resolution of intratumor heterogeneity for profiling studies based on cell proliferation, a defining feature of cancers, with implications for treatment design.
Laboratory of Cancer Gene Therapy National Cancer Centre 169610 Singapore
School of Medical Science Griffith University Southport Qld 4222 Australia
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