{"entity": "researcher", "timestamp": "2026-07-13T10:05:20.225Z", "family": "Nelander", "given": "Sven", "initials": "S", "orcid": "0000-0003-1758-1262", "affiliations": [], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/1d684fc3b26d4741b850790ba0571c96.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/1d684fc3b26d4741b850790ba0571c96"}}, "publications": [{"entity": "publication", "iuid": "f5c04bc9cc13408387b5cb7cbcd3cbc6", "links": {"self": {"href": "https://publications.scilifelab.se/publication/f5c04bc9cc13408387b5cb7cbcd3cbc6.json"}, "display": {"href": "https://publications.scilifelab.se/publication/f5c04bc9cc13408387b5cb7cbcd3cbc6"}}, "title": "The invasion phenotypes of glioblastoma depend on plastic and reprogrammable cell states.", "authors": [{"family": "Doroszko", "given": "Milena", "initials": "M"}, {"family": "Stockgard", "given": "Rebecka", "initials": "R"}, {"family": "Uppman", "given": "Irem", "initials": "I", "orcid": "0000-0003-3602-5544", "researcher": {"href": "https://publications.scilifelab.se/researcher/a29421803962496880443d5772f4c97a.json"}}, {"family": "Heinold", "given": "Josephine", "initials": "J"}, {"family": "Voukelatou", "given": "Faidra", "initials": "F", "orcid": "0009-0007-4281-3041", "researcher": {"href": "https://publications.scilifelab.se/researcher/1b89b587bcc740e691e8d0253a03e161.json"}}, {"family": "Mangukiya", "given": "Hitesh Bhagavanbhai", "initials": "HB", "orcid": "0000-0002-8460-4850", "researcher": {"href": "https://publications.scilifelab.se/researcher/d32958c394c749d19d7444dac9fe6c3b.json"}}, {"family": "Millner", "given": "Thomas O", "initials": "TO"}, {"family": "Skepp\u00e5s", "given": "Madeleine", "initials": "M", "orcid": "0009-0003-3741-4143", "researcher": {"href": "https://publications.scilifelab.se/researcher/d0b0193e1c804b738dc4b2d5d735d53e.json"}}, {"family": "Ballester Bravo", "given": "Mar", "initials": "M"}, {"family": "Elgendy", "given": "Ramy", "initials": "R", "orcid": "0000-0002-2592-3448", "researcher": {"href": "https://publications.scilifelab.se/researcher/0a5ce4db4317446bb1ef113f7c6e8eb5.json"}}, {"family": "Berglund", "given": "Maria", "initials": "M"}, {"family": "Elfineh", "given": "Ludmila", "initials": "L"}, {"family": "Krona", "given": "Cecilia", "initials": "C"}, {"family": "Kundu", "given": "Soumi", "initials": "S", "orcid": "0000-0002-0759-3051", "researcher": {"href": "https://publications.scilifelab.se/researcher/e48ddbc3493247e4930203374878f4b7.json"}}, {"family": "Koltowska", "given": "Katarzyna", "initials": "K", "orcid": "0000-0002-6841-8900", "researcher": {"href": "https://publications.scilifelab.se/researcher/06a8aeda504340c1af3ab893fd413a65.json"}}, {"family": "Marino", "given": "Silvia", "initials": "S", "orcid": "0000-0002-9612-2883", "researcher": {"href": "https://publications.scilifelab.se/researcher/b2d040a587c9417b925d42b8e39a43e6.json"}}, {"family": "Larsson", "given": "Ida", "initials": "I", "orcid": "0000-0001-5422-4243", "researcher": {"href": "https://publications.scilifelab.se/researcher/1ac604ca793048e9b6ddaa3459b4e97a.json"}}, {"family": "Nelander", "given": "Sven", "initials": "S", "orcid": "0000-0003-1758-1262", "researcher": {"href": "https://publications.scilifelab.se/researcher/1d684fc3b26d4741b850790ba0571c96.json"}}], "type": "journal article", "published": "2025-07-19", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "16", "issue": "1", "pages": "6662", "issn-l": "2041-1723"}, "abstract": "Glioblastoma (GBM) is the most common primary brain cancer. It causes death mainly by local invasion via several routes, including infiltration of white matter tracts and penetration of perivascular spaces. However, the pathways that mediate these invasion routes are only partly known. Here, we conduct an integrative study to identify cell states and central drivers of route-specific invasion in GBM. Combining single-cell profiling and spatial protein detection in patient-derived xenograft models and clinical tumor samples, we demonstrate a close association between the differentiation state of GBM cells and their choice of invasion route. Computational modeling identifies ANXA1 as a driver of perivascular involvement in GBM cells with mesenchymal differentiation and the transcription factors RFX4 and HOPX as orchestrators of growth and differentiation in diffusely invading GBM cells. Ablation of these targets in tumor cells alters their invasion route, redistributes the cell states, and extends survival in xenografted mice. Our results define a close association between GBM cell differentiation states and invasion routes, identify functional biomarkers of route-specific invasion, and point toward targeted modulation of specific invasive cell states as a therapeutic strategy in GBM.", "doi": "10.1038/s41467-025-61999-1", "pmid": "40683881", "labels": {"NGI Short read": "Service", "National Genomics Infrastructure": "Service", "NGI Stockholm (Genomics Production)": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC12276355"}, {"db": "pii", "key": "10.1038/s41467-025-61999-1"}], "notes": [], "created": "2025-09-30T08:40:58.966Z", "modified": "2025-11-21T11:52:14.274Z"}, {"entity": "publication", "iuid": "e738969ae3c04340ac2b8599b3065498", "links": {"self": {"href": "https://publications.scilifelab.se/publication/e738969ae3c04340ac2b8599b3065498.json"}, "display": {"href": "https://publications.scilifelab.se/publication/e738969ae3c04340ac2b8599b3065498"}}, "title": "A Patient-Derived Cell Atlas Informs Precision Targeting of Glioblastoma.", "authors": [{"family": "Johansson", "given": "Patrik", "initials": "P"}, {"family": "Krona", "given": "Cecilia", "initials": "C"}, {"family": "Kundu", "given": "Soumi", "initials": "S"}, {"family": "Doroszko", "given": "Milena", "initials": "M"}, {"family": "Baskaran", "given": "Sathishkumar", "initials": "S"}, {"family": "Schmidt", "given": "Linn\u00e9a", "initials": "L"}, {"family": "Vinel", "given": "Claire", "initials": "C"}, {"family": "Almstedt", "given": "Elin", "initials": "E"}, {"family": "Elgendy", "given": "Ramy", "initials": "R"}, {"family": "Elfineh", "given": "Ludmila", "initials": "L"}, {"family": "Gallant", "given": "Caroline", "initials": "C"}, {"family": "Lundsten", "given": "Sara", "initials": "S"}, {"family": "Ferrer Gago", "given": "Fernando J", "initials": "FJ"}, {"family": "Hakkarainen", "given": "Aleksi", "initials": "A", "orcid": "0000-0002-7434-3431", "researcher": {"href": "https://publications.scilifelab.se/researcher/40ffa54d23d7486b86e2f7c2da49a013.json"}}, {"family": "Sipil\u00e4", "given": "Petra", "initials": "P"}, {"family": "H\u00e4ggblad", "given": "Maria", "initials": "M"}, {"family": "Martens", "given": "Ulf", "initials": "U"}, {"family": "Lundgren", "given": "Bo", "initials": "B"}, {"family": "Frigault", "given": "Melanie M", "initials": "MM"}, {"family": "Lane", "given": "David P", "initials": "DP"}, {"family": "Swartling", "given": "Fredrik J", "initials": "FJ", "orcid": "0000-0002-8460-4367", "researcher": {"href": "https://publications.scilifelab.se/researcher/69679cebbc90496f9c5b32f56d966654.json"}}, {"family": "Uhrbom", "given": "Lene", "initials": "L", "orcid": "0000-0001-8595-5698", "researcher": {"href": "https://publications.scilifelab.se/researcher/67bb8672ad514a9bb5f86c8d6b494269.json"}}, {"family": "Nestor", "given": "Marika", "initials": "M"}, {"family": "Marino", "given": "Silvia", "initials": "S"}, {"family": "Nelander", "given": "Sven", "initials": "S", "orcid": "0000-0003-1758-1262", "researcher": {"href": "https://publications.scilifelab.se/researcher/1d684fc3b26d4741b850790ba0571c96.json"}}], "type": "journal article", "published": "2020-07-14", "journal": {"title": "Cell Rep", "issn": "2211-1247", "volume": "32", "issue": "2", "pages": "107897", "issn-l": null}, "abstract": "Glioblastoma (GBM) is a malignant brain tumor with few therapeutic options. The disease presents with a complex spectrum of genomic aberrations, but the pharmacological consequences of these aberrations are partly unknown. Here, we report an integrated pharmacogenomic analysis of 100 patient-derived GBM cell cultures from the human glioma cell culture (HGCC) cohort. Exploring 1,544 drugs, we find that GBM has two main pharmacological subgroups, marked by differential response to proteasome inhibitors and mutually exclusive aberrations in TP53 and CDKN2A/B. We confirm this trend in cell and in xenotransplantation models, and identify both Bcl-2 family inhibitors and p53 activators as potentiators of proteasome inhibitors in GBM cells. We can further predict the responses of individual cell cultures to several existing drug classes, presenting opportunities for drug repurposing and design of stratified trials. Our functionally profiled biobank provides a valuable resource for the discovery of new treatments for GBM.", "doi": "10.1016/j.celrep.2020.107897", "pmid": "32668248", "labels": {"Bioinformatics Support for Computational Resources": "Service", "Drug Discovery and Development": "Service"}, "xrefs": [{"db": "pii", "key": "S2211-1247(20)30878-0"}], "notes": [], "created": "2020-12-04T14:16:49.871Z", "modified": "2025-10-17T13:05:07.993Z"}, {"entity": "publication", "iuid": "cf04049f915e40eba55527838d31452e", "links": {"self": {"href": "https://publications.scilifelab.se/publication/cf04049f915e40eba55527838d31452e.json"}, "display": {"href": "https://publications.scilifelab.se/publication/cf04049f915e40eba55527838d31452e"}}, "title": "Image-Based Detection of Patient-Specific Drug-Induced Cell-Cycle Effects in Glioblastoma.", "authors": [{"family": "Matuszewski", "given": "Damian J", "initials": "DJ", "orcid": "0000-0002-6148-5174", "researcher": {"href": "https://publications.scilifelab.se/researcher/0329e24125c3443e99e51435bea6af85.json"}}, {"family": "W\u00e4hlby", "given": "Carolina", "initials": "C", "orcid": "0000-0002-4139-7003", "researcher": {"href": "https://publications.scilifelab.se/researcher/c50194fbc8524d95b7152663ccf17f29.json"}}, {"family": "Krona", "given": "Cecilia", "initials": "C"}, {"family": "Nelander", "given": "Sven", "initials": "S", "orcid": "0000-0003-1758-1262", "researcher": {"href": "https://publications.scilifelab.se/researcher/1d684fc3b26d4741b850790ba0571c96.json"}}, {"family": "Sintorn", "given": "Ida-Maria", "initials": "IM"}], "type": "journal article", "published": "2018-12-00", "journal": {"volume": "23", "issn": "2472-5560", "issue": "10", "pages": "1030-1039", "title": "SLAS DISCOVERY: Advancing Life Sciences R&D", "issn-l": "2472-5552"}, "abstract": "Image-based analysis is an increasingly important tool to characterize the effect of drugs in large-scale chemical screens. Herein, we present image and data analysis methods to investigate population cell-cycle dynamics in patient-derived brain tumor cells. Images of glioblastoma cells grown in multiwell plates were used to extract per-cell descriptors, including nuclear DNA content. We reduced the DNA content data from per-cell descriptors to per-well frequency distributions, which were used to identify compounds affecting cell-cycle phase distribution. We analyzed cells from 15 patient cases representing multiple subtypes of glioblastoma and searched for clusters of cell-cycle phase distributions characterizing similarities in response to 249 compounds at 11 doses. We show that this approach applied in a blind analysis with unlabeled substances identified drugs that are commonly used for treating solid tumors as well as other compounds that are well known for inducing cell-cycle arrest. Redistribution of nuclear DNA content signals is thus a robust metric of cell-cycle arrest in patient-derived glioblastoma cells.", "doi": "10.1177/2472555218791414", "pmid": "30074852", "labels": {"BioImage Informatics": "Collaborative", "Bioinformatics Support for Computational Resources": "Service", "Bioinformatics (NBIS)": "Collaborative"}, "xrefs": [{"db": "pii", "key": "S2472-5552(22)06926-X"}], "notes": [], "created": "2018-10-28T08:23:56.585Z", "modified": "2024-01-16T13:48:45.044Z"}, {"entity": "publication", "iuid": "e9c9a297dc294e8a9b7a9be667c54458", "links": {"self": {"href": "https://publications.scilifelab.se/publication/e9c9a297dc294e8a9b7a9be667c54458.json"}, "display": {"href": "https://publications.scilifelab.se/publication/e9c9a297dc294e8a9b7a9be667c54458"}}, "title": "Comparative drug pair screening across multiple glioblastoma cell lines reveals novel drug-drug interactions.", "authors": [{"family": "Schmidt", "given": "Linn\u00e9a", "initials": "L"}, {"family": "Kling", "given": "Teresia", "initials": "T"}, {"family": "Monsefi", "given": "Naser", "initials": "N"}, {"family": "Olsson", "given": "Maja", "initials": "M"}, {"family": "Hansson", "given": "Caroline", "initials": "C", "orcid": "0000-0001-6738-6495", "researcher": {"href": "https://publications.scilifelab.se/researcher/3f707f6560ae4e948196bf0f5abfa36f.json"}}, {"family": "Baskaran", "given": "Sathishkumar", "initials": "S"}, {"family": "Lundgren", "given": "Bo", "initials": "B"}, {"family": "Martens", "given": "Ulf", "initials": "U"}, {"family": "H\u00e4ggblad", "given": "Maria", "initials": "M", "orcid": "0000-0002-3857-1437", "researcher": {"href": "https://publications.scilifelab.se/researcher/c2b5f5d0486a4422b93a626a2cd1583f.json"}}, {"family": "Westermark", "given": "Bengt", "initials": "B", "orcid": "0000-0001-7153-5545", "researcher": {"href": "https://publications.scilifelab.se/researcher/dbaf3a1cdd7d48e5ba9e147bfb5055b6.json"}}, {"family": "Forsberg Nilsson", "given": "Karin", "initials": "K"}, {"family": "Uhrbom", "given": "Lene", "initials": "L", "orcid": "0000-0001-8595-5698", "researcher": {"href": "https://publications.scilifelab.se/researcher/67bb8672ad514a9bb5f86c8d6b494269.json"}}, {"family": "Karlsson-Lindahl", "given": "Linda", "initials": "L"}, {"family": "Gerlee", "given": "Philip", "initials": "P"}, {"family": "Nelander", "given": "Sven", "initials": "S", "orcid": "0000-0003-1758-1262", "researcher": {"href": "https://publications.scilifelab.se/researcher/1d684fc3b26d4741b850790ba0571c96.json"}}], "type": "journal article", "published": "2013-11-00", "journal": {"volume": "15", "issn": "1523-5866", "issue": "11", "pages": "1469-1478", "title": "Neuro-oncology", "issn-l": "1522-8517"}, "abstract": "Glioblastoma multiforme (GBM) is the most aggressive brain tumor in adults, and despite state-of-the-art treatment, survival remains poor and novel therapeutics are sorely needed. The aim of the present study was to identify new synergistic drug pairs for GBM. In addition, we aimed to explore differences in drug-drug interactions across multiple GBM-derived cell cultures and predict such differences by use of transcriptional biomarkers.\r\n\r\nWe performed a screen in which we quantified drug-drug interactions for 465 drug pairs in each of the 5 GBM cell lines U87MG, U343MG, U373MG, A172, and T98G. Selected interactions were further tested using isobole-based analysis and validated in 5 glioma-initiating cell cultures. Furthermore, drug interactions were predicted using microarray-based transcriptional profiling in combination with statistical modeling.\r\n\r\nOf the 5 \u00d7 465 drug pairs, we could define a subset of drug pairs with strong interaction in both standard cell lines and glioma-initiating cell cultures. In particular, a subset of pairs involving the pharmaceutical compounds rimcazole, sertraline, pterostilbene, and gefitinib showed a strong interaction in a majority of the cell cultures tested. Statistical modeling of microarray and interaction data using sparse canonical correlation analysis revealed several predictive biomarkers, which we propose could be of importance in regulating drug pair responses.\r\n\r\nWe identify novel candidate drug pairs for GBM and suggest possibilities to prospectively use transcriptional biomarkers to predict drug interactions in individual cases.", "doi": "10.1093/neuonc/not111", "pmid": "24101737", "labels": {"Drug Discovery and Development": "Collaborative"}, "xrefs": [{"db": "pii", "key": "not111"}, {"db": "pmc", "key": "PMC3813417"}], "notes": "Biochemical and Cellular Screening", "created": "2017-05-04T14:57:02.204Z", "modified": "2025-10-23T08:55:35.813Z"}]}