
In the Cancer Stress Biology research we study the molecular, cellular and tissue mechanisms that contribute to the increased ability of cancer cells to tolerate stress. We focus on the molecular mechanisms behind the different capacities of cancer and neuronal cells to deal with protein and RNA aggregates, and the ability of cancer cells to form resistance to drugs. We also query the cancer growth patterns in tissue combining this to molecular information in order to better understand the mechanisms behind cancer cells’ ability to survive in the crossfire of different stress types. In our tissue analysis collaboration projects we search for better ways to image, visualise and quantitatively analyse histology with development of digital pathology, machine learning and AI tools.
Understanding the molecular mechanisms behind detrimental tissue effects in disease are key to find more efficient treatments for patients. Better understanding of cellular stress responses enables identification of novel drug targets. If we can inhibit the increased ability of cancer cells to bypass toxic amounts of stress, we can identify ways to destroy cancer cells. On the other hand, by activating the stress responses in cells that are unable to buffer out toxic effects, we can prevent the damage on cells and tissues in diseases such as neurodegeneration.
Please visit our research group website:
https://sites.uef.fi/cancer-stress-biology-latonen/
Research groups
Publications
26 items-
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
Weitz, Philippe; Valkonen, Masi; Solorzano, Leslie; Carr, Circe; Kartasalo, Kimmo; Boissin, Constance; Koivukoski, Sonja; Kuusela, Aino; Rasic, Dusan; Feng, Yanbo; Sinius Pouplier, Sandra; Sharma, Abhinav; Ledesma Eriksson, Kajsa; Latonen, Leena; Laenkholm, Anne-Vibeke; Hartman, Johan; Ruusuvuori, Pekka; Rantalainen, Mattias. 2023. Scientific data. 10: . 562 -
Complementary analysis of proteome‐wide proteomics reveals changes in RNA binding protein‐profiles during prostate cancer progression
Aikio, Erika; Koivukoski, Sonja; Kallio, Elina; Sadeesh, Nithin; Niskanen, Einari A; Latonen, Leena. 2023. Cancer reports. [First published: 17 August 2023]: 1-13 -
Deformation equivariant cross-modality image synthesis with paired non-aligned training data
Honkamaa, Joel; Khan, Umair; Koivukoski, Sonja; Valkonen, Mira; Latonen, Leena; Ruusuvuori, Pekka; Marttinen, Pekka. 2023. Medical image analysis. 90: -
Identification of long noncoding RNAs with aberrant expression in prostate cancer metastases
Sattari, Mina; Kohvakka, Annika; Moradi, Elaheh; Rauhala, Hanna; Urhonen, Henna; Isaacs, William B; Nykter, Matti; Murtola, Teemu J; Tammela, Teuvo L. J.; Latonen, Leena; Bova, G. Steven; Kesseli, Juha; Visakorpi, Tapio. 2023. Endocrine-related cancer. 30: -
The effect of neural network architecture on virtual H&E staining: Systematic assessment of histological feasibility
Khan, Umair; Koivukoski, Sonja; Valkonen, Mira; Latonen, Leena; Ruusuvuori, Pekka. 2023. Patterns. 4: -
Unstained Tissue Imaging and Virtual Hematoxylin and Eosin Staining of Histologic Whole Slide Images
Koivukoski, Sonja; Khan, Umair; Ruusuvuori, Pekka; Latonen, Leena. 2023. Laboratory investigation. 103: -
Chemical Interrogation of Nuclear Size Identifies Compounds with Cancer Cell Line-Specific Effects on Migration and Invasion
Tollis, Sylvain; Rizzotto, Andrea; Pham, Nhan T; Koivukoski, Sonja; Sivakumar, Aishwarya; Shave, Steven; Wildenhain, Jan; Zuleger, Nikolaj; Keys, Jeremy T; Culley, Jayne; Zheng, Yijing; Lammerding, Jan; Carragher, Neil O; Brunton, Valerie G; Latonen, Leena; Auer, Manfred; Tyers, Mike; Schirmer, Eric C. 2022. Acs chemical biology. 17: 680-700 -
Nonmalignant AR-positive prostate epithelial cells and cancer cells respond differently to androgen
Kukkonen, Konsta; Autio-Kimura, Bryn; Rauhala, Hanna; Kesseli, Juha; Nykter, Matti; Latonen, Leena; Visakorpi, Tapio. 2022. Endocrine-related cancer. 29: 717–733 -
Nuclear Organization in Response to Stress: A Special Focus on Nucleoli
Batnasan, Enkhzaya; Koivukoski, Sonja; Kärkkäinen, Minttu; Latonen, Leena. Teoksessa: Kloc, Malgorzat ; Kubiak, Jacek Z(toim.) , 2022. Nuclear, Chromosomal, and Genomic Architecture in Biology and Medicine. s. 469-494. Springer -
Nuclear size rectification: A potential new therapeutic approach to reduce metastasis in cancer
Schirmer, Eric C; Latonen, Leena; Tollis, Sylvain. 2022. Frontiers in cell and developmental biology. 10: . 1022723