Ein neues Lumineszenzverfahren zur quantitativen und räumlichen Darstellung von Produkten des Glukosestoffwechsels in Tumoren

Eine neue auf einer Pyruvat abhängigen Biolumineszenzreaktion basierende Methode zur quantitativen Bestimmung und räumlichen Darstellung von Pyruvat in Gefrierschnitten von Gewebeproben wurde entwickelt. Dabei wurden biochemische Reaktionen so verknüpft, dass sichtbares Licht proportional zum eingesetzten Pyruvatgehalt entstand. Eine hoch signifikante positive Korrelation beider Parameter ermöglichte eine Kalibrierung mit definierten Pyruvatgehalten und damit die Quantifizierung in unbekannten Proben. Die Nachweisgrenze lag bei 0,04 pmol Pyruvat mit einer Auflösung von 0,02 µmol/g. Das Biolumineszenzverfahren wurde mit Hilfe anderer Methoden validiert, wobei eine Wiederfindung mit einer konzentrationsabhängigen Abweichung von ≤ 15 % erzielt wurde. Ein wesentlicher Vorteil der neuen Methode gegenüber bisherigen Verfahren zum Pyruvatnachweis liegt in der Messwerterfassung definierter histologischer Gewebsareale. Dies wird durch computergesteuerte Überlagerung von Metabolitverteilungen mit Schnittbildern aus Strukturfärbungen und interaktiver, „optischer Mikrodissektion“ der Gewebeschnitte möglich. Ein weiterer Nutzen der Methode ist deren optionale Kombination mit der Biolumineszenztechnik für andere Stoffwechselprodukte. So ermöglicht eine exakte Superposition zweier Metabolitbilder von unmittelbar aufeinander folgenden Gewebeschnitten eine korrelative Kolokalisationsanalyse beider Metabolite. Das Ergebnis lässt sich zum einen in Form von „Pixel-zu-Pixel“-Korrelationen dokumentieren, zum anderen kann für jeden Bildpunkt ein Laktat/Pyruvat-Verhältnis als Maß für den Redoxzustand des Gewebes berechnet und dargestellt werden. Hieraus ergeben sich z.B. räumliche L/P-Verteilungen (L/P-Karten). Ein solches „Redoximaging“ durch Kartierung des L/P-Quotienten ist bislang mit keinem anderen Verfahren möglich. Während die Entwicklung des Pyruvatnachweises eine Kernaufgabe der vorliegenden Arbeit darstellte, bestand ein weiterer wesentlicher Teil in der praktischen Anwendung der neuen Methode im Bereich der experimentellen Tumorforschung. So ergaben Messungen an acht verschiedenen Linien von humanen HNSCC-Xenotransplantaten (n = 70 Tumoren) einen mittleren Pyruvatgehalt von 1,24 ± 0,20 µmol/g. In sechs Humanbiopsien derselben Tumorentität wurde ein durchschnittlicher Pyruvatgehalt von 0,41 ± 0,09 µmol/g gemessen. Bei den Xenotransplantaten konnte eine signifikante positive Korrelation zwischen der Summe aus Laktat und Pyruvat bzw. dem L/P Verhältnis und der Strahlensensibilität gefunden werden, wobei das L/P-Verhältnis ebenso wie die Summe aus Laktat und Pyruvat maßgeblich von Laktat bestimmt wurden. Der Zusammenhang der Metabolite mit der Strahlensensibilität lässt sich durch deren antioxidative Eigenschaften erklären. Da der Redoxzustand der Zelle kritisch bezüglich der Effizienz von ROS induzierenden Therapieansätzen, wie z.B. Bestrahlung oder bestimmter Chemotherapeutika sein kann, könnte die Bestimmung des L/P Verhältnisses als prognostischer Faktor prädiktive Aussagen über die Sensibilität gegenüber solchen Behandlungen erlauben.

Metodi computazionali per l'annotazione di genomi e proteomi

Il progresso tecnologico nel campo della biologia molecolare, pone la comunità scientifica di fronte all’esigenza di dare un’interpretazione all’enormità di sequenze biologiche che a mano a mano vanno a costituire le banche dati, siano esse proteine o acidi nucleici. In questo contesto la bioinformatica gioca un ruolo di primaria importanza. Un nuovo livello di possibilità conoscitive è stato introdotto con le tecnologie di Next Generation Sequencing (NGS), per mezzo delle quali è possibile ottenere interi genomi o trascrittomi in poco tempo e con bassi costi. Tra le applicazioni del NGS più rilevanti ci sono senza dubbio quelle oncologiche che prevedono la caratterizzazione genomica di tessuti tumorali e lo sviluppo di nuovi approcci diagnostici e terapeutici per il trattamento del cancro. Con l’analisi NGS è possibile individuare il set completo di variazioni che esistono nel genoma tumorale come varianti a singolo nucleotide, riarrangiamenti cromosomici, inserzioni e delezioni. Va però sottolineato che le variazioni trovate nei geni vanno in ultima battuta osservate dal punto di vista degli effetti a livello delle proteine in quanto esse sono le responsabili più dirette dei fenotipi alterati riscontrabili nella cellula tumorale. L’expertise bioinformatica va quindi collocata sia a livello dell’analisi del dato prodotto per mezzo di NGS ma anche nelle fasi successive ove è necessario effettuare l’annotazione dei geni contenuti nel genoma sequenziato e delle relative strutture proteiche che da esso sono espresse, o, come nel caso dello studio mutazionale, la valutazione dell’effetto della variazione genomica. È in questo contesto che si colloca il lavoro presentato: da un lato lo sviluppo di metodologie computazionali per l’annotazione di sequenze proteiche e dall’altro la messa a punto di una pipeline di analisi di dati prodotti con tecnologie NGS in applicazioni oncologiche avente come scopo finale quello della individuazione e caratterizzazione delle mutazioni genetiche tumorali a livello proteico.

Interaktions- und Aggregationsverhalten von Nanopartikeln in Blutserum

Das Interesse an nanopartikulären Wirkstoffsystemen steigt sowohl auf universitärer als auch auf industrieller Seite stetig an. Da diese Formulierungen meist intravenös verabreicht werden, kommt es folglich zu einem direkten Kontakt der Nanopartikel mit den Blutbestandteilen. Adsorption von Plasma Proteinen kann eine deutliche Veränderung der charakteristischen Eigenschaften des Systems induzieren, was dann Wirkungsweise sowie Toxizität stark beinflussen kann. Derzeit findet die Charakterisierung nanopartikulärer Wirkstoffsysteme vor der in vivo Applikation in Pufferlösungen mit physiologischem Salzgehalt statt, es ist jedoch kaum etwas bekannt über deren Wechselwirkungen mit komplexen Proteinmischungen wie sie im Blutserum oder –plasma vorliegen. rnMittels dynamischer Lichtstreuung (DLS) wurde eine einfache und reproduzierbare Methode entwickelt um die Aggregatbildung zwischen Nanopartikeln, Polymeren oder verschiedenen Wirkstoff-Konjugaten in humanem Blutserum zu untersuchen. Die Anwendbarkeit dieser Methode wurde durch Untersuchung verschiedener potentieller Nanotherapeutika (z.B. Polystyrol-Nanokapseln, Liposomen, amphiphile Blockcopolymere und Nanohydrogele) bezüglich ihrer Aggregation in humanem Blutserum mittels DLS gezeigt und teilweise mit aktuellen in vivo Experimenten verglichen. rnDarüber hinaus wurden größeneinheitliche Liposomen, basierend auf Disteraoylphosphatidylcholin, Cholesterol und einem Spermin-Tensid, hergestellt. Die Einkapselung von siRNA ist, je nach Präparationsmethode, mit Einkapselungseffizienzen von 40-75% möglich. Nach detaillierter Charakterisierung der Liposomen wurden diese ebenfalls bezüglich ihres Aggregationsverhaltens in humanem Blutserum untersucht. Unbeladene Liposomen aggregieren nicht mit Komponenten des Serums. Je nach Beladungsprotokoll können aggregierende sowie nicht aggregierende Liposomen-siRNA Komplexe hergestellt werden. rnWeiterhin wurden, zur Identifikation der Aggregation induzierenden Serumkomponenten, verschiedenen Serumsfraktionierungstechniken erfolgreich angewendet. Albumin, IgG, und Lipoproteine (VLDL, LDL) sowie verschiedene Proteinmischungen konnten isoliert und für weitere Aggregationsstudien mittels DLS verwendet werden. Für einige ausgesuchte Systeme konnten die Interaktionspartner identifiziert werden. rnDie Korrelation des Aggregationsverhaltens mit den strukturellen sowie funktionellen Eigenschaften der untersuchten Nanopartikel führt zu dem generellen Ergebnis, dass leicht negativ und leicht positiv bis neutrale Partikel eine geringe Tendenz zur Aggregation in Serum haben. Auch zwitterionische Substanzen zeigen eine hohe Serumstabilität. Hingegen aggregieren stark positiv und negativ geladene Partikel vermehrt.rn

A novel fusion toxin derived from an EpCAM-specific designed ankyrin repeat protein has potent antitumor activity

Designed ankyrin repeat proteins (DARPins) hold great promise as a new class of binding molecules to overcome the limitations of antibodies for biomedical applications. Here, we assessed the potential of an epithelial cell adhesion molecule (EpCAM)-specific DARPin (Ec4) for tumor targeting as a fusion toxin with Pseudomonas aeruginosa exotoxin A.

The quassinoid derivative NBT-272 targets both the AKT and ERK signaling pathways in embryonal tumors

The quassinoid analogue NBT-272 has been reported to inhibit MYC, thus warranting a further effort 7to better understand its preclinical properties in models of embryonal tumors (ET), a family of childhood malignancies sharing relevant biological and genetic features such as deregulated expression of MYC oncogenes. In our study, NBT-272 displayed a strong antiproliferative activity in vitro that resulted from the combination of diverse biological effects, ranging from G(1)/S arrest of the cell cycle to apoptosis and autophagy. The compound prevented the full activation of both eukaryotic translation initiation factor 4E (eIF4E) and its binding protein 4EBP-1, regulating cap-dependent protein translation. Interestingly, all responses induced by NBT-272 in ET could be attributed to interference with 2 main proproliferative signaling pathways, that is, the AKT and the MEK/extracellular signal-regulated kinase pathways. These findings also suggested that the depleting effect of NBT-272 on MYC protein expression occurred via indirect mechanisms, rather than selective inhibition. Finally, the ability of NBT-272 to arrest tumor growth in a xenograft model of neuroblastoma plays a role in the strong antitumor activity of this compound, both in vitro and in vivo, with its potential to target cell-survival pathways that are relevant for the development and progression of ET.

Disabling c-Myc in childhood medulloblastoma and atypical teratoid/rhabdoid tumor cells by the potent G-quadruplex interactive agent S2T1-6OTD

We investigated here the effects of S2T1-6OTD, a novel telomestatin derivative that is synthesized to target G-quadruplex-forming DNA sequences, on a representative panel of human medulloblastoma (MB) and atypical teratoid/rhabdoid (AT/RT) childhood brain cancer cell lines. S2T1-6OTD proved to be a potent c-Myc inhibitor through its high-affinity physical interaction with the G-quadruplex structure in the c-Myc promoter. Treatment with S2T1-6OTD reduced the mRNA and protein expressions of c-Myc and hTERT, which is transcriptionally regulated by c-Myc, and decreased the activities of both genes. In remarkable contrast to control cells, short-term (72-hour) treatment with S2T1-6OTD resulted in a dose- and time-dependent antiproliferative effect in all MB and AT/RT brain tumor cell lines tested (IC(50), 0.25-0.39 micromol/L). Under conditions where inhibition of both proliferation and c-Myc activity was observed, S2T1-6OTD treatment decreased the protein expression of the cell cycle activator cyclin-dependent kinase 2 and induced cell cycle arrest. Long-term treatment (5 weeks) with nontoxic concentrations of S2T1-6OTD resulted in a time-dependent (mainly c-Myc-dependent) telomere shortening. This was accompanied by cell growth arrest starting on day 28 followed by cell senescence and induction of apoptosis on day 35 in all of the five cell lines investigated. On in vivo animal testing, S2T1-6OTD may well represent a novel therapeutic strategy for childhood brain tumors.

Absence of ectopic epithelial inclusions in 3,904 axillary lymph nodes examined in sentinel technique

Intraoperative examination of sentinel axillary lymph nodes can be done by imprint cytology, frozen section, or, most recently, by PCR-based amplification of a cytokeratin signal. Using this technique, benign epithelial inclusions, representing mammary tissue displaced along the milk line, will likely generate a positive PCR signal and lead to a false-positive diagnosis of metastatic disease. To better appreciate the incidence of ectopic epithelial inclusions in axillary lymph nodes, we have performed an autopsy study, examining on 100 μm step sections 3,904 lymph nodes obtained from 160 axillary dissections in 80 patients. The median number of lymph nodes per axilla was 23 (15, 6, and 1 in levels 1, 2, and 3, respectively). A total of 30,450 hematoxylin-eosin stained slides were examined, as well as 8,825 slides immunostained with pan-cytokeratin antibodies. Despite this meticulous work-up, not a single epithelial inclusion was found in this study, suggesting that the incidence of such inclusions is much lower than the assumed 5% reported in the literature.

Everolimus augments the effects of sorafenib in a syngeneic orthotopic model of hepatocellular carcinoma

Sorafenib targets the Raf/mitogen-activated protein kinase, VEGF, and platelet-derived growth factor pathways and prolongs survival patients in advanced hepatocellular carcinoma (HCC). Everolimus inhibits the mammalian target of rapamycin, a kinase overactive in HCC. To investigate whether the antitumor effects of these agents are additive, we compared a combined and sequential treatment regimen of everolimus and sorafenib with monotherapy. After hepatic implantation of Morris Hepatoma (MH) cells, rats were randomly allocated to everolimus (5 mg/kg, 2×/week), sorafenib (7.5 mg/kg/d), combined everolimus and sorafenib, sequential sorafenib (2 weeks) then everolimus (3 weeks), or control groups. MRI quantified tumor volumes. Erk1/2, 4E-BP1, and their phosphorylated forms were quantified by immunoblotting. Angiogenesis was assessed in vitro by aortic ring and tube formation assays, and in vivo with Vegf-a mRNA and vascular casts. After 35 days, tumor volumes were reduced by 60%, 85%, and 55%, relative to controls, in everolimus, the combination, and sequential groups, respectively (P < 0.01). Survival was longest in the combination group (P < 0.001). Phosphorylation of 4E-BP1 and Erk1/2 decreased after everolimus and sorafenib, respectively. Angiogenesis decreased after all treatments (P < 0.05), although sorafenib increased Vegf-a mRNA in liver tumors. Vessel sprouting was abundant in control tumors, lower after sorafenib, and absent after the combination. Intussusceptive angiogenic transluminal pillars failed to coalesce after the combination. Combined treatment with everolimus and sorafenib exerts a stronger antitumoral effect on MH tumors than monotherapy. Everolimus retains antitumoral properties when administered sequentially after sorafenib. This supports the clinical use of everolimus in HCC, both in combination with sorafenib or after sorafenib.

KPNA2 expression is an independent adverse predictor of biochemical recurrence after radical prostatectomy

To analyze rates of expression of karyopherin alpha 2 (KPNA2) in different prostate tissues and to evaluate the prognostic properties for patients with primary prostate cancer.

HGF/c-Met related activation of ?-catenin in hepatoblastoma

Activation of beta-catenin is a hallmark of hepatoblastoma (HB) and appears to play a crucial role in its pathogenesis. While aberrant accumulation of the beta-catenin is a common event in HB, mutations or deletions in CTNNB1 (beta-catenin gene) do not always account for the high frequency of protein expression. In this study we have investigated alternative activation of beta-catenin by HGF/c-Met signaling in a large cohort of 98 HB patients enrolled in the SIOPEL-3 clinical trial.

First-line temozolomide combined with bevacizumab in metastatic melanoma: a multicentre phase II trial (SAKK 50/07)

Oral temozolomide has shown similar efficacy to dacarbazine in phase III trials with median progression-free survival (PFS) of 2.1 months. Bevacizumab has an inhibitory effect on the proliferation of melanoma and sprouting endothelial cells. We evaluated the addition of bevacizumab to temozolomide to improve efficacy in stage IV melanoma.

Aberrant lipid metabolism in hepatocellular carcinoma revealed by plasma metabolomics and lipid profiling

There has been limited analysis of the effects of hepatocellular carcinoma (HCC) on liver metabolism and circulating endogenous metabolites. Here, we report the findings of a plasma metabolomic investigation of HCC patients by ultraperformance liquid chromatography-electrospray ionization-quadrupole time-of-flight mass spectrometry (UPLC-ESI-QTOFMS), random forests machine learning algorithm, and multivariate data analysis. Control subjects included healthy individuals as well as patients with liver cirrhosis or acute myeloid leukemia. We found that HCC was associated with increased plasma levels of glycodeoxycholate, deoxycholate 3-sulfate, and bilirubin. Accurate mass measurement also indicated upregulation of biliverdin and the fetal bile acids 7α-hydroxy-3-oxochol-4-en-24-oic acid and 3-oxochol-4,6-dien-24-oic acid in HCC patients. A quantitative lipid profiling of patient plasma was also conducted by ultraperformance liquid chromatography-electrospray ionization-triple quadrupole mass spectrometry (UPLC-ESI-TQMS). By this method, we found that HCC was also associated with reduced levels of lysophosphocholines and in 4 of 20 patients with increased levels of lysophosphatidic acid [LPA(16:0)], where it correlated with plasma α-fetoprotein levels. Interestingly, when fatty acids were quantitatively profiled by gas chromatography-mass spectrometry (GC-MS), we found that lignoceric acid (24:0) and nervonic acid (24:1) were virtually absent from HCC plasma. Overall, this investigation illustrates the power of the new discovery technologies represented in the UPLC-ESI-QTOFMS platform combined with the targeted, quantitative platforms of UPLC-ESI-TQMS and GC-MS for conducting metabolomic investigations that can engender new insights into cancer pathobiology.

Phase I clinical and pharmacokinetic evaluation of the vascular-disrupting agent OXi4503 in patients with advanced solid tumors

Preclinical studies show that OXi4503 (combretastatin A1 diphosphate, CA1P) is more potent than other clinically evaluated vascular-disrupting agents.

Life stage differences in mammary gland gene expression profile in non-human primates

Breast cancer (BC) is the most common malignancy of women in the developed world. To better understand its pathogenesis, knowledge of normal breast development is crucial, as BC is the result of disregulation of physiologic processes. The aim of this study was to investigate the impact of reproductive life stages on the transcriptional profile of the mammary gland in a primate model. Comparative transcriptomic analyses were carried out using breast tissues from 28 female cynomolgus macaques (Macaca fascicularis) at the following life stages: prepubertal (n = 5), adolescent (n = 4), adult luteal (n = 5), pregnant (n = 6), lactating (n = 3), and postmenopausal (n = 5). Mammary gland RNA was hybridized to Affymetrix GeneChip(®) Rhesus Macaque Genome Arrays. Differential gene expression was analyzed using ANOVA and cluster analysis. Hierarchical cluster analysis revealed distinct separation of life stage groups. More than 2,225 differentially expressed mRNAs were identified. Gene families or pathways that changed across life stages included those related to estrogen and androgen (ESR1, PGR, TFF1, GREB1, AR, 17HSDB2, 17HSDB7, STS, HSD11B1, AKR1C4), prolactin (PRLR, ELF5, STAT5, CSN1S1), insulin-like growth factor signaling (IGF1, IGFBP1, IGFBP5), extracellular matrix (POSTN, TGFB1, COL5A2, COL12A1, FOXC1, LAMC1, PDGFRA, TGFB2), and differentiation (CD24, CD29, CD44, CD61, ALDH1, BRCA1, FOXA1, POSTN, DICER1, LIG4, KLF4, NOTCH2, RIF1, BMPR1A, TGFB2). Pregnancy and lactation displayed distinct patterns of gene expression. ESR1 and IGF1 were significantly higher in the adolescent compared to the adult animals, whereas differentiation pathways were overrepresented in adult animals and pregnancy-associated life stages. Few individual genes were distinctly different in postmenopausal animals. Our data demonstrate characteristic patterns of gene expression during breast development. Several of the pathways activated during pubertal development have been implicated in cancer development and metastasis, supporting the idea that other developmental markers may have application as biomarkers for BC.

Webinar Training: an acceptable, feasible and effective approach for multi-site medical record abstraction: the BOWII experience

Background Abstractor training is a key element in creating valid and reliable data collection procedures. The choice between in-person vs. remote or simultaneous vs. sequential abstractor training has considerable consequences for time and resource utilization. We conducted a web-based (webinar) abstractor training session to standardize training across six individual Cancer Research Network (CRN) sites for a study of breast cancer treatment effects in older women (BOWII). The goals of this manuscript are to describe the training session, its participants and participants' evaluation of webinar technology for abstraction training. Findings A webinar was held for all six sites with the primary purpose of simultaneously training staff and ensuring consistent abstraction across sites. The training session involved sequential review of over 600 data elements outlined in the coding manual in conjunction with the display of data entry fields in the study's electronic data collection system. Post-training evaluation was conducted via Survey Monkey©. Inter-rater reliability measures for abstractors within each site were conducted three months after the commencement of data collection. Ten of the 16 people who participated in the training completed the online survey. Almost all (90%) of the 10 trainees had previous medical record abstraction experience and nearly two-thirds reported over 10 years of experience. Half of the respondents had previously participated in a webinar, among which three had participated in a webinar for training purposes. All rated the knowledge and information delivered through the webinar as useful and reported it adequately prepared them for data collection. Moreover, all participants would recommend this platform for multi-site abstraction training. Consistent with participant-reported training effectiveness, results of data collection inter-rater agreement within sites ranged from 89 to 98%, with a weighted average of 95% agreement across sites. Conclusions Conducting training via web-based technology was an acceptable and effective approach to standardizing medical record review across multiple sites for this group of experienced abstractors. Given the substantial time and cost savings achieved with the webinar, coupled with participants' positive evaluation of the training session, researchers should consider this instructional method as part of training efforts to ensure high quality data collection in multi-site studies.