Liubov Tashireva

Dr. Liubov Tashireva

Tomsk National Research Medical Center of the Russian Academy of Sciences, Cancer Research Institute, Tomsk, 634050, Russia.
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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 April 2019 in Cell Research
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Journal Article
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NMNicolas Molinie
Nicolas Molinie
SRSvetlana N. Rubtsova
Svetlana N. Rubtsova
AFArtem Fokin
Artem Fokin
SVSai P. Visweshwaran
Sai P. Visweshwaran
NRNathalie Rocques
Nathalie Rocques
AGAlexis Gautreau
Alexis Gautreau
The actin cytoskeleton generates and senses forces. Here we report that branched actin networks from the cell cortex depend on ARPC1B-containing Arp2/3 complexes and that they are specifically monitored by type I coronins to control cell cycle progression in mammary epithelial cells. Cortical ARPC1B-dependent branched actin networks are regulated by the RAC1/WAVE/ARPIN pathway and drive lamellipodial protrusions. Accordingly, we uncover that the duration of the G1 phase scales with migration persistence in single migrating cells. Moreover, cortical branched actin more generally determines S-phase entry by integrating soluble stimuli such as growth factors and mechanotransduction signals, ensuing from substratum rigidity or stretching of epithelial monolayers. Many tumour cells lose this dependence for cortical branched actin. But the RAC1-transformed tumour cells stop cycling upon Arp2/3 inhibition. Among all genes encoding Arp2/3 subunits, ARPC1B overexpression in tumours is associated with the poorest metastasis-free survival in breast cancer patients. Arp2/3 specificity may thus provide diagnostic and therapeutic opportunities in cancer.

13 July 2019 in Biochemistry (Moscow)
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Journal Article
Closed access
MZM. V. Zavyalova
M. V. Zavyalova
EDE. V. Denisov
E. V. Denisov
LTLiubov Tashireva
Liubov Tashireva
OSO. E. Savelieva
O. E. Savelieva
EKE. V. Kaigorodova
E. V. Kaigorodova
VPV. M. Perelmuter
V. M. Perelmuter
Intravasation is a key step in cancer metastasis during which tumor cells penetrate the vessel wall and enter circulation, thereby becoming circulating tumor cells and potential metastatic seeds. Understanding the molecular mechanisms of intravasation is critically important for the development of therapeutic strategies to prevent metastasis. In this article, we review current data on the mechanisms of cancer cell intravasation into the blood and lymphatic vessels. The entry of mature thymocytes into the circulation and of dendritic cells into the regional lymph nodes is considered as example of intravasation under physiologically normal conditions. Intravasation in a pathophysiological state is illustrated by the reverse transendothelial migration of leukocytes into the bloodstream from the sites of inflammation mediated by the sphingosine 1-phosphate interaction with its receptors. Intravasation involves both invasion-dependent and independent mechanisms. In particular, mesenchymal and amoeboid cell invasion, as well as neoangiogenesis and vascular remodeling, are discussed to play a significant role in the entry of tumor cells to the circulation. Special attention is given to the contribution of macrophages to the intravasation via the CSF1/EGF (colony stimulating factor 1/epidermal growth factor) paracrine signaling pathway and the TMEM (tumor microenvironment of metastasis)-mediated mechanisms. Other mechanisms including intravasation of tumor cell clusters surrounded by the vessel wall elements, cooperative intravasation (entry of non-invasive tumor cells to the circulation following invasive tumor cells), and intravasation associated with the vasculogenic mimicry (formation of vascular channels by tumor cells) are also discussed. Novel intravasation-specific mechanisms that have not yet been described in the literature are suggested. The importance of targeted therapeutic strategies to prevent cancer intravasation is emphasized.

12 August 2021 in Journal of Nuclear Medicine
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OBOlga Bragina
Olga Bragina
VCVladimir Chernov
Vladimir Chernov
ASAlexey Schulga
Alexey Schulga
EKElena Konovalova
Elena Konovalova
EGEugeniy Garbukov
Eugeniy Garbukov
Vladimir TolmachevVladimir Tolmachev
Vladimir Tolmachev
Radionuclide molecular imaging of human epidermal growth factor type 2 (HER2) expression may enable a non-invasive discrimination between HER2-positive and HER2-negative breast cancers for stratification of patients for HER2-targeted treatments. DARPin G3 is a small (molecular weigh 14 kDa) scaffold protein with picomolar affinity to HER2. The aim of this first-in-human study was to evaluate the safety, biodistribution and dosimetry of 99mTc-(HE)3-G3. Methods: Three cohorts of patients with primary breast cancer (each including at least 4 patients with HER2-negative and 5 patients with HER2-positive tumors) were injected with either 1000, 2000 or 3000 µg of 99mTc-(HE)3-G3 (287±170 MBq). Whole-body planar imaging followed by SPECT was performed at 2, 4, 6 and 24 h after injection. Vital signs and possible side effects were monitored during imaging and up to 7 days after injection. Results: All injections were well tolerated. No side effects were observed. The results of blood and urine analyses did not differ before and after studies. 99mTc-(HE)3-G3 cleared rapidly from the blood. The highest uptake was detected in the kidneys and liver followed by the lungs, breasts and small intestinal content. The hepatic uptake after injecting with 2000 or 3000 µg was significantly (p<0.05) lower than the uptake after injecting with 1000 µg. Effective doses did not differ significantly between cohorts (average 0.011± 0.004 mSv/MBq). Tumor-to-contralateral site ratios for HER-positive tumors were significantly (p< 0.05) higher than for HER2-negative at 2 and 4 h after injection. Conclusion: Imaging of HER2 expression using 99mTc-(HE)3-G3 is safe, well-tolerated and provides a low absorbed dose burden on patients. This imaging enables discerning HER2-positive and HER2-negative breast cancer. Phase I study data justifies further clinical development of 99mTc-(HE)3-G3.

1 September 2019 in Lung Cancer
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Journal Article
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Evgeny DenisovEvgeny Denisov
Evgeny Denisov
ASAnastasia A. Schegoleva
Anastasia A. Schegoleva
PGPolina A. Gervas
Polina A. Gervas
APAnastasia A. Ponomaryova
Anastasia A. Ponomaryova
LTLiubov Tashireva
Liubov Tashireva
VPVladimir M. Perelmuter
Vladimir M. Perelmuter

1 September 2018 in Journal of Cell Science
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Journal Article
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DPDamien Planchon
Damien Planchon
EMEduardo Rios Morris
Eduardo Rios Morris
MGMallory Genest
Mallory Genest
FCFranck Comunale
Franck Comunale
SVSophie VACHER
Sophie VACHER
CGCécile Gauthier-Rouvière
Cécile Gauthier-Rouvière
Tumor cell invasion and metastasis formation are the major cause of death in cancer patients. These processes rely on extracellular matrix (ECM) degradation mediated by organelles termed invadopodia, to which the transmembrane matrix metalloproteinase MT1-MMP (also known as MMP14) is delivered from its reservoir, the RAB7-containing endolysosomes. How MT1-MMP is targeted to endolysosomes remains to be elucidated. Flotillin-1 and -2 are upregulated in many invasive cancers. Here, we show that flotillin upregulation triggers a general mechanism, common to carcinoma and sarcoma, which promotes RAB5-dependent MT1-MMP endocytosis and its delivery to RAB7-positive endolysosomal reservoirs. Conversely, flotillin knockdown in invasive cancer cells greatly reduces MT1-MMP accumulation in endolysosomes, its subsequent exocytosis at invadopodia, ECM degradation and cell invasion. Our results demonstrate that flotillin upregulation is necessary and sufficient to promote epithelial and mesenchymal cancer cell invasion and ECM degradation by controlling MT1-MMP endocytosis and delivery to the endolysosomal recycling compartment.

5 January 2019 in BMC Dermatology
Verified
Journal Article
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MAMariya Aksenenko
Mariya Aksenenko
NPNadezhda Palkina
Nadezhda Palkina
ATAnna Tyumentseva
Anna Tyumentseva
LTLiubov Tashireva
Liubov Tashireva
TRTatyana Ruksha
Tatyana Ruksha
The tumor microenvironment is composed of cancer-associated fibroblasts, tumor-associated macrophages, endothelial cells, immune cells, signaling molecules and extracellular matrix structures, which closelycommunicate with the tumor via multiple mechanisms. MicroRNAs are paracrine regulators that provide a direct interaction between the microenvironment and cancer cells. In the presentstudy, we aimed to identify the microRNA expression profile in melanoma compared with thatin healthy adjacent skin, with a further assessment of altered microRNA signaling pathways and target genes. Formalin-fixed paraffin-embedded (FFPE) melanoma tissue samples were separated by dissection into tumor and surrounding health tissue fragments. MicroRNA expression profiles were obtained by microarray using Gene Atlas Microarray System (Affymetrix, California, USA). To confirm microarray results real-time PCR was carried out. Bioinformatic analysis was performed using the DIANA-miRPath v.3.0 database. Target genes for miR-146a-5p were determined using three algorithms: TargetScan 7.0, miRWalk 2.0 and miRTarBase v.4.5. A microarray profiling revealed 143 microRNAs asdifferent in tumor versus adjacent tissues. Expression level of hsa-miR-146a-5p showedto be higher in melanoma cells as compared to thehealthy adjacent skin. The bioinformatic study has determined several signaling cascades associated with miR-146a-5p:Toll-like receptor pathway, NF-κB pathway, ErB pathway, and measles signaling pathway. The 38 target genes have been shown for miR-146a-5p of which NRAS gene is known asone of the most frequent mutated in melanoma. Elucidation of the role of miR-146-a-5p in complex interactions between the tumor and the cells of healthy adjacent skin is necessary for our understanding of the mechanisms oftumor progression. Significant differences found between cancer cells and adjacent tissues in microRNA expression profile corresponding to divergent mRNA/protein levels in these structures should be taken into account when tumor samples characterization estimatedby high-throughput methods.