Rose, France
ORCID: 0000-0001-5828-3259, Ibruli, Olta, Lichius, Luca, Kiljan, Martha
ORCID: 0000-0002-5581-1359, Gozum, Gokcen
ORCID: 0000-0002-8650-0078, Caiaffa, Manoela Iannicelli
ORCID: 0009-0007-0704-0397, Cai, Jiali
ORCID: 0009-0009-5976-0235, Niu, Li-na
ORCID: 0000-0002-6653-0819, Herter, Jan M., Grüll, Holger
ORCID: 0000-0002-0993-9300, Büttner, Reinhard
ORCID: 0000-0001-8806-4786, Beleggia, Filippo
ORCID: 0000-0003-0234-7094, Bosco, Graziella
ORCID: 0000-0001-6601-4518, George, Julie
ORCID: 0000-0002-4272-3683, Herter-Sprie, Grit S., Reinhardt, Hans Christian and Bozek, Katarzyna
ORCID: 0000-0002-0917-6876
(2025).
Imaging mass cytometry dataset of small-cell lung cancer tumors and tumor microenvironments.
BMC Research Notes, 18 (1).
pp. 1-4.
Springer Nature.
ISSN 1756-0500
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s13104-025-07460-4.pdf Bereitstellung unter der CC-Lizenz: Creative Commons Attribution. Download (803kB) |
Abstract
[Artikel-Nr.: 385] Objectives: Small cell lung cancer (SCLC) accounts for approximately 15% of lung tumors and is marked by aggressive growth and early metastatic spread. In this study, we used two SCLC mouse models with differing tumor mutation burdens (TMB). To investigate tumor composition, spatial architecture, and interactions with the surrounding microenvironment, we acquired multiplexed images of mouse lung tumors using imaging mass cytometry (IMC). These data build upon a previously published characterization of the mouse model. Data description: After tumor detection, mice were assigned to one of five treatment groups. Lung tumor tissues were imaged with a 37-marker IMC panel designed to identify major cell types—tumor, immune, and structural—as well as their functional states. When possible, each tumor was sampled both at its center and border regions. Tumor masks in the form of binary images are provided to delineate tumor areas. Additional metadata include tumor onset and endpoint dates to support downstream correlation or predictive analyses based on the image data. This dataset offers a valuable resource for studying the histological and cellular complexity of SCLC in a genetically controlled mouse model across multiple therapeutic conditions.
| Item Type: | Article |
| Creators: | Creators Email ORCID ORCID Put Code Ibruli, Olta ibruliolta@gmail.com UNSPECIFIED UNSPECIFIED Lichius, Luca UNSPECIFIED UNSPECIFIED UNSPECIFIED Herter, Jan M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Herter-Sprie, Grit S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Reinhardt, Hans Christian UNSPECIFIED UNSPECIFIED UNSPECIFIED |
| URN: | urn:nbn:de:hbz:38-801324 |
| Identification Number: | 10.1186/s13104-025-07460-4 |
| Journal or Publication Title: | BMC Research Notes |
| Volume: | 18 |
| Number: | 1 |
| Page Range: | pp. 1-4 |
| Number of Pages: | 4 |
| Date: | 8 September 2025 |
| Publisher: | Springer Nature |
| ISSN: | 1756-0500 |
| Language: | English |
| Faculty: | Faculty of Medicine |
| Divisions: | Faculty of Medicine > Hals-Nasen-Ohrenheilkunde > Klinik und Poliklinik für Hals-, Nasen- und Ohrenheilkunde Faculty of Medicine > Innere Medizin > Klinik I für Innere Medizin - Hämatologie und Onkologie Faculty of Medicine > Pathologie und Neuropathologie > Institut für Pathologie Faculty of Medicine > Strahlentherapie > Klinik und Poliklinik für Radioonkologie, Cyberknife- und Strahlentherapie Faculty of Medicine > Weitere > Institut für Biomedizinische Informatik Faculty of Medicine > Weitere > Translationale Genomik Zentrum für Molekulare Medizin |
| Subjects: | Medical sciences Medicine |
| Uncontrolled Keywords: | Keywords Language SCLC ; IMC ; MIBI-TOF ; Hyperion ; Tumor microenvironment ; Mouse models English |
| ['eprint_fieldname_oa_funders' not defined]: | Publikationsfonds UzK |
| Refereed: | Yes |
| URI: | http://kups.ub.uni-koeln.de/id/eprint/80132 |
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https://orcid.org/0000-0001-5828-3259