Author

iCAN

F. Hoffmann-La Roche AG

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 3 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 3 Approach:deep learning· 3 Assay:imaging· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell-cell communication· 2 Assay:scRNA-seq· 2

Frequent Co-Authors

Erdoğan Pekcan ErkaniD· 2 shared Jukka‐Pekka MeckliniD· 2 shared Teijo S. PellineniD· 2 shared Toni T. SeppäläiD· 2 shared Ada JunqueraiD· 1 shared Aleksandra ShabanovaiD· 1 shared Alli Leppä· 1 shared Anna LepistöiD· 1 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

Erdoğan Pekcan ErkanORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Single-cell spatial atlas of high-grade serous ovarian cancer unveils MHC class II as a key driver of spatial tumor ecosystems and clinical outcomes

Fernando Pérez‐Villatoro, Aleksandra Shabanova, Lilian van Wagensveld, Ada Junquera, Iga Niemiec, María Mercedes Hincapié-Otero, Ziqi Kang, Matías Marín Falco, Kürşat Birgin, Sarah Wolf, Ella Anttila, Gayani Anandagoda, Julia Casado, Eric Marcus, Duco Gaillard, , Anniina Färkkilä

Cyclic immunofluorescence of 265 high-grade serous ovarian carcinomas and random-forest feature ranking identify cancer-cell MHC-II as an adjusted predictor of longer survival marking immune-activated tumor-stroma hotspots.

Cancer Discovery · Feb 9, 2026Peer-reviewedCancer Biology✦ In-depth digest

Colorectal cancer heterogeneity co-evolves with tumor architecture to determine disease outcome

Fabien Bertillot, Solène Hervé, Nelly Drobjazko, Noémi Kedei, Mona A. El Gendi, Maria Olga Hernandez, Kai Kruse, Erdoğan Pekcan Erkan, Madelaine Binner, Karolina Punovuori, Teijo S. Pellinen, Maarit Ahtiainen, Jan Böhm, Jukka‐Pekka Mecklin, Caj Haglund, , Yekaterina A. Miroshnikova

This study uses deep learning and spatial data to show how tumor architecture and cell states co-evolve, influencing colorectal cancer outcomes.

bioRxiv · Aug 11, 2025 · PreprintCancer Biology

Sustained epithelial interferon signaling modulates incomplete pathologic response in colorectal cancer

Erdoğan Pekcan Erkan, Emmi Hämäläinen, Julia Kolikova, Kornelia Kuc, Kalle Ojala, Meiju Kukkonen, Ismaïl Hermelo, Selja Koskensalo, Timo Tarvainen, Alli Leppä, Ilona Keränen, Carola Haapamäki, Essi K. Karjalainen, Monica Carpelan-Holmström, Laura Renkonen‐Sinisalo, , Toni T. Seppälä

This study identifies interferon signaling in epithelial cells as a factor contributing to incomplete response to chemotherapy in colorectal cancer, suggesting potential therapeutic targets.

bioRxiv · Mar 24, 2025 · PreprintCancer Biology

Self-supervised learning enables unbiased patient characterization from multiplexed cancer tissue microscopy images

Gantugs Atarsaikhan, Isabel Mogollón, Katja E. Välimäki, iCAN, Tuomas K. Mirtti, Teijo S. Pellinen, Lassi Paavolainen

The paper develops a self-supervised deep learning framework to analyze multiplexed cancer tissue microscopy images, stratifying patients into prognostically distinct groups with different survival outcomes.

bioRxiv · Mar 5, 2025 · PreprintBioinformatics