Search

Your search keyword '"Kalashnikov, Ilja"' showing total 10 results
Start Over Author "Kalashnikov, Ilja"
10 results on '"Kalashnikov, Ilja"'

2. Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours

Author

Mishra, Surbhi, Tejesvi, Mysore Vishakantegowda, Hekkala, Jenni, Turunen, Jenni, Kandikanti, Niyati, Kaisanlahti, Anna, Suokas, Marko, Leppä, Sirpa, Vihinen, Pia, Kuitunen, Hanne, Sunela, Kaisa, Koivunen, Jussi, Jukkola, Arja, Kalashnikov, Ilja, Auvinen, Päivi, Kääriäinen, Okko-Sakari, Peñate Medina, T., Peñate Medina, O., Saarnio, Juha, Meriläinen, Sanna, Rautio, Tero, Aro, Raila, Häivälä, Reetta, Suojanen, Juho, Laine, Mikael, Erawijattari, Pande Putu, Lahti, Leo, Karihtala, Peeter, Ruuska, Terhi S., and Reunanen, Justus

Published
2023
Full Text
View/download PDF

4. Nodular Lymphocyte Predominant Hodgkin Lymphoma with Splenic Involvement Is Characterized By Inflamed Tumor Microenvironment, High Expression of Checkpoint Molecule Gene-Signature and Adverse Outcome

Author

Kalashnikov, Ilja, primary, Karjalainen-Lindsberg, Marja-Liisa, additional, Kovanen, Panu, additional, Dunkel, Johannes, additional, Pasanen, Annika, additional, Kositsky, Rachel, additional, Ondrejka, Sarah L., additional, Hsi, Eric D., additional, Evans, Andrew G, additional, Pedersen, Mette Ø, additional, Norgaard, Peter H., additional, Gang, Anne Ortved, additional, Czader, Magdalena, additional, Zhou, Jiehao, additional, Xu, Mina L, additional, Paulson, Nathan, additional, Juskevicius, Ridas, additional, Natkunam, Yasodha, additional, Louissaint, Abner, additional, Martin, Haley, additional, Thacker, Elizabeth, additional, Love, Cassandra, additional, Tian, Shari, additional, Ong, Choon Kiat, additional, Cheng, Chee Leong, additional, McCall, Chad M., additional, Koff, Jean L., additional, Younes, Sheren F., additional, Arildsen, Mary Ann, additional, Chapman-Fredricks, Jennifer R, additional, Amador, Catalina, additional, Fedoriw, Yuri, additional, Casulo, Carla, additional, Chadburn, Amy, additional, Sojitra, Payal, additional, Behdad, Amir, additional, Tse, Eric, additional, Naresh, Kikkeri N, additional, Yin, C. Cameron, additional, Goswami, Rashmi S., additional, Dave, Sandeep, additional, and Leppa, Sirpa, additional

Published
2022
Full Text
View/download PDF

6. P115: Distinct signaling pathways and checkpoint molecule expression across histological subtypes of nodular lymphocyte-predominant Hodgkin lymphoma

Author

Kalashnikov, Ilja, primary, Kositsky, Rachel, additional, Karjalainen-Lindsberg, Marja-Liisa, additional, Dunkel, Johannes, additional, Pasanen, Annika, additional, Love, Cassandra, additional, Parker, Clay, additional, Ondrejka, Sarah, additional, Hsi, Eric, additional, Juskevicius, Ridas, additional, Evans, Andrew, additional, Evans, Andrew G., additional, Czader, Magdalena, additional, Wang, Lin, additional, Xu, Mina, additional, Paulson, Nathan, additional, Pedersen, Mette ølgod, additional, Ortved Gang, Anne, additional, Koff, Jean, additional, Mccal, Chad, additional, Natkunam, Yaso, additional, Louissaint, Abner, additional, Shin Yeu, Ong, additional, Pillai, Raju, additional, Chapman, Jennifer, additional, Amador, Catalina, additional, Chadburn, Amy, additional, Goswami, Rashmi, additional, Behdad, Amir, additional, Sojitra, Payal, additional, Tse, Eric, additional, Kikkeri, Naresh, additional, Nasresh, Kikkeri N., additional, Fedoriw, Yuri, additional, Dave, Sandeep, additional, and Leppä, Sirpa, additional

Published
2022
Full Text
View/download PDF

8. Unraveling the Transcriptional Landscape of Nodular Lymphocyte-Predominant Hodgkin Lymphoma and T-Cell/Histiocyte Rich Large B-Cell Lymphoma: Impact of Tumor Microenvironment and Checkpoint Gene Expression

Author

Kalashnikov, Ilja, Russell, Veronica, Kovanen, Panu, Dunkel, Johannes, Karjalainen-Lindsberg, Marja-Liisa, Pasanen, Annika, Kositsky, Rachel, Ondrejka, Sarah L., Goyal, Tanu, Hsi, Eric D., Pedersen, Mette Ølgod, Gang, Anne Ortved, Czader, Magdalena, Zhou, Jiehao, Xu, Mina, Paulson, Nathan, Koff, Jean L., Evans, Andrew G, Natkunam, Yasodha, Juskevicius, Ridas, Louissaint, Abner, Thacker, Elizabeth, Dave, Tushar, Love, Cassandra L., McCall, Chad M, Ong, Choon Kiat, Churnetski, Michael, Martin, Haley, Chapman-Fredricks, Jennifer R., Iqbal, Javeed, Chadburn, Amy, Sojitra, Payal, Behdad, Amir, Choi, William, Xu, Jie, Mason, Emily F. Ferguson, Naresh, Kikkeri N, Fedoriw, Yuri D., Soliman, Dina Sameh, Dave, Sandeep, and Leppä, Sirpa

Published
2023
Full Text
View/download PDF

10. Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours.

Author

Mishra S, Tejesvi MV, Hekkala J, Turunen J, Kandikanti N, Kaisanlahti A, Suokas M, Leppä S, Vihinen P, Kuitunen H, Sunela K, Koivunen J, Jukkola A, Kalashnikov I, Auvinen P, Kääriäinen OS, Peñate Medina T, Peñate Medina O, Saarnio J, Meriläinen S, Rautio T, Aro R, Häivälä R, Suojanen J, Laine M, Erawijattari PP, Lahti L, Karihtala P, Ruuska TS, and Reunanen J

Abstract

Introduction: Gut microbiome-derived nanoparticles, known as bacterial extracellular vesicles (bEVs), have garnered interest as promising tools for studying the link between the gut microbiome and human health. The diverse composition of bEVs, including their proteins, mRNAs, metabolites, and lipids, makes them useful for investigating diseases such as cancer. However, conventional approaches for studying gut microbiome composition alone may not be accurate in deciphering host-gut microbiome communication. In clinical microbiome research, there is a gap in the knowledge on the role of bEVs in solid tumor patients., Objectives: Analyzing the functionality of bEVs using (meta)genomics and proteomics could highlight the unique aspects of host-gut microbiome interactions in solid tumor patients. Therefore, we performed a comparative analysis of the proteome and microbiota composition of gut microbiome-derived bEVs isolated from patients with solid tumors and healthy controls., Methods: After isolating bEVs from the feces of solid tumor patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of feces from patients and controls using 16S sequencing and used machine learning to classify the samples into patients and controls based on their bEVs and fecal microbiomes., Results: Solid tumor patients showed decreased microbiota richness and diversity in both the bEVs and feces. However, the bEV proteomes were more diverse in patients than in the controls and were enriched with proteins associated with the metabolism of amino acids and carbohydrates, nucleotide binding, and oxidoreductase activity. Metadata classification of samples was more accurate using fecal bEVs (100%) compared with fecal samples (93%)., Conclusion: Our findings suggest that bEVs are unique functional entities. There is a need to explore bEVs together with conventional gut microbiome analysis in functional cancer research to decipher the potential of bEVs as cancer diagnostic or therapeutic biomarkers., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Production and hosting by Elsevier B.V.)

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results