Publications by authors named "E Zandberga"

Aim: Aberrant Sonic hedgehog (Shh) pathway signaling has been described in small cell lung cancer (SCLC), as well discrepancies, when analyzing expression of pathway components in SCLC cell lines vs tumor biopsies. Shh key component GLI1 was evaluated in advanced SCLC and data correlated with patient survival.

Materials And Methods: GLI1 expression was analyzed by quantitative real-time polymerase chain reaction in pre-treatment fresh frozen tumor biopsies of 12 advanced SCLC patients and mRNA level of GLI1 was compared in short-term vs long-term survivor's samples (stratified by median survival, independent samples t-test).

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Background/aim: Extravascular vesicle (EV) proteome closely reflects the proteome of the cell of origin. Therefore, cancer cell-derived EV proteomic analysis could help in identifying cancer biomarkers. This study's goal was to investigate hypoxia-induced proteomic changes in EV released from hypoxic human isogenic non-metastatic colorectal cancer cells SW480 and metastatic colorectal cancer cells SW620.

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Background/aim: Tumor-secreted extracellular vesicles (EVs) play an important role as mediators of intercellular communication. Hypoxia is a common feature of solid tumors frequently associated with an aggressive clinical behavior. This study aimed to gain a deeper understanding into the functions of EVs in intercellular communication between primary and metastatic cancer cells under hypoxic conditions.

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Fourier transform infrared (FTIR) spectroscopy techniques and data analyses have become widely available, are easy to use, and are convenient for studies of various biosamples, especially in biomedical science. Yet, cultivation of cells and purification of cell components are costly, often methodically challenging, and time and labor consuming. Therefore, reduction of the sample amount is of high value.

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Background: Macrophages are one of the most important players in the tumor microenvironment. The polarization status of tumor associated macrophages into a pro-inflammatory type M1 or anti-inflammatory type M2 may influence cancer progression and patient survival. Extracellular vesicles (EVs) are membrane-bound vesicles containing different biomolecules that are involved in cell to cell signal transfer.

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