Article on classification of GISTs by array CGH published in "Cancer Research"
L. Meza-Zepeda
Histologically related connective tissue tumors, leiomyosarcomas (LMSs) and gastrointestinal stromal tumors (GISTs), were until recently diagnosed as one tumor type. Leonardo Meza-Zepeda et al has shown that that the patterns of genome copy-number aberrations reflect the underlying biology of the tumors. These important findings were recently published in the well reputed journal "Cancer Research" (impact factor 7,6). Meza-Zepeda is working as a post doc in Ola Myklebost's group at the Department of Tumor Biology.
By global array CGH analysis they could, without supervision, separate completely the two tumor types. Because GISTs are sensitive to specific tyrosinase inhibitors, this may indicate clinical utility for array CGH to assist in this clinically important distinction.
Recent publications
From major journals, first or last author from the Institute for Cancer Research
Skotland T, Geir Iversen T, Llorente A, Sandvig K(2022) Biodistribution, pharmacokinetics and excretion studies of intravenously injected nanoparticles and extracellular vesicles: Possibilities and challenges Adv Drug Deliv Rev, 114326(in press) DOI 10.1016/j.addr.2022.114326, PubMed 35588953
Ianevski A, Giri AK, Aittokallio T(2022) SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples Nucleic Acids Res(in press) DOI 10.1093/nar/gkac382, PubMed 35580060
Kidd SG, Bogaard M, Carm KT, Bakken AC, Maltau AMV, Løvf M, Lothe RA, Axcrona K, Axcrona U, Skotheim RI(2022) In situ expression of ERG protein in the context of tumor heterogeneity identifies prostate cancer patients with inferior prognosis Mol Oncol(in press) DOI 10.1002/1878-0261.13225, PubMed 35574900
Smirnov P, Smith I, Safikhani Z, Ba-Alawi W, Khodakarami F, Lin E, Yu Y, Martin S, Ortmann J, Aittokallio T, Hafner M, Haibe-Kains B(2022) Evaluation of statistical approaches for association testing in noisy drug screening data BMC Bioinformatics, 23(1), 188 DOI 10.1186/s12859-022-04693-z, PubMed 35585485
Ianevski A, Giri AK, Aittokallio T(2022) SynergyFinder 3.0: an interactive analysis and consensus interpretation of multi-drug synergies across multiple samples Nucleic Acids Res(in press) DOI 10.1093/nar/gkac382, PubMed 35580060
Skotland T, Geir Iversen T, Llorente A, Sandvig K(2022) Biodistribution, pharmacokinetics and excretion studies of intravenously injected nanoparticles and extracellular vesicles: Possibilities and challenges Adv Drug Deliv Rev, 114326(in press) DOI 10.1016/j.addr.2022.114326, PubMed 35588953