{"entity": "researcher", "timestamp": "2026-06-09T02:37:44.040Z", "family": "Foukakis", "given": "Theodoros", "initials": "T", "orcid": "0000-0001-8952-9987", "affiliations": ["Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. theodoros.foukakis@ki.se.", "Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Sweden. theodoros.foukakis@ki.se."], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7"}}, "publications": [{"entity": "publication", "iuid": "d28a4f21a24a4775aecb9fff4b468e8a", "links": {"self": {"href": "https://publications.scilifelab.se/publication/d28a4f21a24a4775aecb9fff4b468e8a.json"}, "display": {"href": "https://publications.scilifelab.se/publication/d28a4f21a24a4775aecb9fff4b468e8a"}}, "title": "Neoadjuvant palbociclib and endocrine therapy versus chemotherapy in ER + /HER2- breast cancer: a randomized phase II trial.", "authors": [{"family": "Matikas", "given": "Alexios", "initials": "A", "orcid": "0000-0002-4122-9624", "researcher": {"href": "https://publications.scilifelab.se/researcher/0af6483a77d746c2b838414692f1f4ed.json"}}, {"family": "Tzoras", "given": "Evangelos", "initials": "E"}, {"family": "Sarafidis", "given": "Michail", "initials": "M"}, {"family": "Sifakis", "given": "Emmanouil G", "initials": "EG", "orcid": "0000-0001-9919-4471", "researcher": {"href": "https://publications.scilifelab.se/researcher/c8506000a14a4a5286aa557ab67ef690.json"}}, {"family": "Bj\u00f6hle", "given": "Judith", "initials": "J"}, {"family": "Barnekow", "given": "Elin", "initials": "E"}, {"family": "Margolin", "given": "Sara", "initials": "S"}, {"family": "Isaksson-Friman", "given": "Erika", "initials": "E"}, {"family": "Kessler", "given": "Luisa Edman", "initials": "LE"}, {"family": "Zouzos", "given": "Athanasios", "initials": "A", "orcid": "0000-0003-2654-827X", "researcher": {"href": "https://publications.scilifelab.se/researcher/776e7ba8993b4465a27451629b509490.json"}}, {"family": "Johansson", "given": "Hemming", "initials": "H"}, {"family": "Hellstr\u00f6m", "given": "Mats", "initials": "M"}, {"family": "Agartz", "given": "Susanne", "initials": "S"}, {"family": "Gryb\u00e4ck", "given": "Per", "initials": "P", "orcid": "0000-0002-1141-6234", "researcher": {"href": "https://publications.scilifelab.se/researcher/7b5986c379cd4d23a0b48ac328faab63.json"}}, {"family": "Salgkamis", "given": "Dimitrios", "initials": "D", "orcid": "0000-0002-3020-0359", "researcher": {"href": "https://publications.scilifelab.se/researcher/826836fefcf5440ebef1c404e046a0ca.json"}}, {"family": "Zerdes", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-8304-2462", "researcher": {"href": "https://publications.scilifelab.se/researcher/f786763a4a0e4b5bb865ebb199eb6ca2.json"}}, {"family": "Wang", "given": "Kang", "initials": "K", "orcid": "0000-0001-5401-1803", "researcher": {"href": "https://publications.scilifelab.se/researcher/7bdb074014224910b0f34e893b15e660.json"}}, {"family": "Hartman", "given": "Johan", "initials": "J", "orcid": "0000-0002-6500-8527", "researcher": {"href": "https://publications.scilifelab.se/researcher/da7cefda6e00463d8ba95fc63eeb8f0a.json"}}, {"family": "Acs", "given": "Balazs", "initials": "B", "orcid": "0000-0002-0972-4633", "researcher": {"href": "https://publications.scilifelab.se/researcher/efe428be3caf4deca0a7839d555f6c33.json"}}, {"family": "Sun", "given": "Wenwen", "initials": "W"}, {"family": "Boyaci", "given": "Ceren", "initials": "C"}, {"family": "Villacampa", "given": "Guillermo", "initials": "G"}, {"family": "Pascual", "given": "Tomas", "initials": "T", "orcid": "0000-0001-8431-3183", "researcher": {"href": "https://publications.scilifelab.se/researcher/c10a027f0fa74b6b9a667edcadf8f50e.json"}}, {"family": "Gavila", "given": "Joaquin", "initials": "J"}, {"family": "Prat", "given": "Aleix", "initials": "A", "orcid": "0000-0003-2377-540X", "researcher": {"href": "https://publications.scilifelab.se/researcher/582dfbb079214acbb35af0a0590b2fb3.json"}}, {"family": "Perou", "given": "Charles", "initials": "C"}, {"family": "Brandberg", "given": "Yvonne", "initials": "Y"}, {"family": "Bergh", "given": "Jonas", "initials": "J", "orcid": "0000-0001-5526-1847", "researcher": {"href": "https://publications.scilifelab.se/researcher/fd38f4f7704144ed9e3f869e197175e6.json"}}, {"family": "Hatschek", "given": "Thomas", "initials": "T"}, {"family": "Foukakis", "given": "Theodoros", "initials": "T", "orcid": "0000-0001-8952-9987", "researcher": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7.json"}}], "type": "journal article", "published": "2026-04-08", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "17", "issue": "1", "issn-l": "2041-1723"}, "abstract": "In PREDIX LumB patients with estrogen receptor positive and human epidermal growth factor receptor negative (ER + /HER2-) breast cancer > 20 mm and/or with lymph node metastasis were randomized 1:1 to receive either paclitaxel weekly for 12 weeks followed by palbociclib and endocrine therapy for 12 weeks (arm A), or the reverse sequence (arm B). Primary endpoint is objective radiologic response at 12 weeks (ORR12), and key secondary endpoints are ORR24, pathologic complete response, event-free survival, safety and correlative studies of tissue and circulating biomarkers. Whole exome sequencing and RNA sequencing were performed on baseline fresh frozen tissue samples. In total, 179 patients comprise the intention-to-treat population. There is no statistically significant difference between the two arms in ORR12 (59% vs 45%, p = 0.058). An exploratory gene expression analysis identified differentially expressed genes and gene sets between responders and non-responders at 12 weeks. A predictive signature, CDKPredX, comprising 31 genes related to proliferation, ER signaling and immune activity was developed to identify patients resistant to chemotherapy but responding to palbociclib plus endocrine therapy (pinteraction=0.03). The predictive signature was independently validated in the CORALLEEN trial (pinteraction=0.048). Clinicaltrials.gov identifier: NCT02603679.", "doi": "10.1038/s41467-026-71452-6", "pmid": "41951647", "labels": {"NGI Short read": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service", "National Genomics Infrastructure": "Service"}, "xrefs": [{"db": "pii", "key": "10.1038/s41467-026-71452-6"}, {"db": "pmc", "key": "PMC13069018"}, {"db": "ClinicalTrials.gov", "key": "NCT02603679"}], "notes": [], "created": "2026-04-13T07:03:30.099Z", "modified": "2026-04-13T07:03:31.324Z"}, {"entity": "publication", "iuid": "d4db29d93f3144d29d7dcb207e5ed083", "links": {"self": {"href": "https://publications.scilifelab.se/publication/d4db29d93f3144d29d7dcb207e5ed083.json"}, "display": {"href": "https://publications.scilifelab.se/publication/d4db29d93f3144d29d7dcb207e5ed083"}}, "title": "Longitudinal molecular profiling elucidates immunometabolism dynamics in breast cancer.", "authors": [{"family": "Wang", "given": "Kang", "initials": "K", "orcid": "0000-0001-5401-1803", "researcher": {"href": "https://publications.scilifelab.se/researcher/7bdb074014224910b0f34e893b15e660.json"}}, {"family": "Zerdes", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-8304-2462", "researcher": {"href": "https://publications.scilifelab.se/researcher/f786763a4a0e4b5bb865ebb199eb6ca2.json"}}, {"family": "Johansson", "given": "Henrik J", "initials": "HJ", "orcid": "0000-0003-4729-4205", "researcher": {"href": "https://publications.scilifelab.se/researcher/18aebf211fa640f48a7c8d860c168e5a.json"}}, {"family": "Sarhan", "given": "Dhifaf", "initials": "D", "orcid": "0000-0003-0196-4496", "researcher": {"href": "https://publications.scilifelab.se/researcher/22a235fbd46e49ba953ea339b8b8a507.json"}}, {"family": "Sun", "given": "Yizhe", "initials": "Y"}, {"family": "Kanellis", "given": "Dimitris C", "initials": "DC", "orcid": "0000-0001-8690-2010", "researcher": {"href": "https://publications.scilifelab.se/researcher/0921ab7566514fb0a3cd0daf2baabe6e.json"}}, {"family": "Sifakis", "given": "Emmanouil G", "initials": "EG", "orcid": "0000-0001-9919-4471", "researcher": {"href": "https://publications.scilifelab.se/researcher/c8506000a14a4a5286aa557ab67ef690.json"}}, {"family": "Mezheyeuski", "given": "Artur", "initials": "A"}, {"family": "Liu", "given": "Xingrong", "initials": "X"}, {"family": "Loman", "given": "Niklas", "initials": "N"}, {"family": "Hedenfalk", "given": "Ingrid", "initials": "I", "orcid": "0000-0002-6840-3397", "researcher": {"href": "https://publications.scilifelab.se/researcher/c852ed467120466f91d053425077c0b8.json"}}, {"family": "Bergh", "given": "Jonas", "initials": "J", "orcid": "0000-0001-5526-1847", "researcher": {"href": "https://publications.scilifelab.se/researcher/fd38f4f7704144ed9e3f869e197175e6.json"}}, {"family": "Bartek", "given": "Jiri", "initials": "J", "orcid": "0000-0003-2013-7525", "researcher": {"href": "https://publications.scilifelab.se/researcher/cd0d4d98261f41268c76dd91345a1857.json"}}, {"family": "Hatschek", "given": "Thomas", "initials": "T"}, {"family": "Lehti\u00f6", "given": "Janne", "initials": "J", "orcid": "0000-0002-8100-9562", "researcher": {"href": "https://publications.scilifelab.se/researcher/8406a97bac744a59b1bc951978994581.json"}}, {"family": "Matikas", "given": "Alexios", "initials": "A", "orcid": "0000-0002-4122-9624", "researcher": {"href": "https://publications.scilifelab.se/researcher/0af6483a77d746c2b838414692f1f4ed.json"}}, {"family": "Foukakis", "given": "Theodoros", "initials": "T", "orcid": "0000-0001-8952-9987", "researcher": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7.json"}}], "type": "journal article", "published": "2024-05-07", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "15", "issue": "1", "pages": "3837", "issn-l": "2041-1723"}, "abstract": "Although metabolic reprogramming within tumor cells and tumor microenvironment (TME) is well described in breast cancer, little is known about how the interplay of immune state and cancer metabolism evolves during treatment. Here, we characterize the immunometabolic profiles of tumor tissue samples longitudinally collected from individuals with breast cancer before, during and after neoadjuvant chemotherapy (NAC) using proteomics, genomics and histopathology. We show that the pre-, on-treatment and dynamic changes of the immune state, tumor metabolic proteins and tumor cell gene expression profiling-based metabolic phenotype are associated with treatment response. Single-cell/nucleus RNA sequencing revealed distinct tumor and immune cell states in metabolism between cold and hot tumors. Potential drivers of NAC based on above analyses were validated in vitro. In summary, the study shows that the interaction of tumor-intrinsic metabolic states and TME is associated with treatment outcome, supporting the concept of targeting tumor metabolism for immunoregulation.", "doi": "10.1038/s41467-024-47932-y", "pmid": "38714665", "labels": {"Global Proteomics and Proteogenomics": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC11076527"}, {"db": "pii", "key": "10.1038/s41467-024-47932-y"}], "notes": [], "created": "2024-11-27T13:26:50.334Z", "modified": "2024-11-27T13:26:50.959Z"}, {"entity": "publication", "iuid": "3b7694b30bde4b54958fd548cc57a848", "links": {"self": {"href": "https://publications.scilifelab.se/publication/3b7694b30bde4b54958fd548cc57a848.json"}, "display": {"href": "https://publications.scilifelab.se/publication/3b7694b30bde4b54958fd548cc57a848"}}, "title": "Survival Outcomes, Digital TILs, and On-treatment PET/CT During Neoadjuvant Therapy for HER2-positive Breast Cancer: Results from the Randomized PREDIX HER2 Trial.", "authors": [{"family": "Matikas", "given": "Alexios", "initials": "A", "orcid": "0000-0002-4122-9624", "researcher": {"href": "https://publications.scilifelab.se/researcher/0af6483a77d746c2b838414692f1f4ed.json"}}, {"family": "Johansson", "given": "Hemming", "initials": "H", "orcid": "0000-0002-7156-1468", "researcher": {"href": "https://publications.scilifelab.se/researcher/adc6a3286c5446aeb1bcc0e63520b321.json"}}, {"family": "Gryb\u00e4ck", "given": "Per", "initials": "P", "orcid": "0000-0002-1141-6234", "researcher": {"href": "https://publications.scilifelab.se/researcher/7b5986c379cd4d23a0b48ac328faab63.json"}}, {"family": "Bj\u00f6hle", "given": "Judith", "initials": "J", "orcid": "0000-0002-1902-4032", "researcher": {"href": "https://publications.scilifelab.se/researcher/b3ed84a3e1174cacbea92a02eda8d64c.json"}}, {"family": "Acs", "given": "Balazs", "initials": "B", "orcid": "0000-0002-0972-4633", "researcher": {"href": "https://publications.scilifelab.se/researcher/efe428be3caf4deca0a7839d555f6c33.json"}}, {"family": "Boyaci", "given": "Ceren", "initials": "C", "orcid": "0000-0001-5598-0243", "researcher": {"href": "https://publications.scilifelab.se/researcher/d1a803107a224c578bf01ef65aba69ff.json"}}, {"family": "Lekberg", "given": "Tobias", "initials": "T", "orcid": "0000-0002-0467-9386", "researcher": {"href": "https://publications.scilifelab.se/researcher/82b08d5e558c4638a5b16f57bf0bf0e3.json"}}, {"family": "Fredholm", "given": "Hanna", "initials": "H", "orcid": "0000-0002-2136-6162", "researcher": {"href": "https://publications.scilifelab.se/researcher/339374f722bb4509b00dddc99f76f2a2.json"}}, {"family": "Elinder", "given": "Ellinor", "initials": "E", "orcid": "0000-0001-8596-5327", "researcher": {"href": "https://publications.scilifelab.se/researcher/4ad9790c06fe4f4d95aace0e5a88d484.json"}}, {"family": "Margolin", "given": "Sara", "initials": "S", "orcid": "0000-0002-5526-5570", "researcher": {"href": "https://publications.scilifelab.se/researcher/c4a4c163089c4f4f93bdf41901cf479f.json"}}, {"family": "Isaksson-Friman", "given": "Erika", "initials": "E", "orcid": "0000-0001-8055-4297", "researcher": {"href": "https://publications.scilifelab.se/researcher/7d492b7da469447c96a0ad71e701e0dd.json"}}, {"family": "Bosch", "given": "Ana", "initials": "A", "orcid": "0000-0003-0666-5946", "researcher": {"href": "https://publications.scilifelab.se/researcher/e47d3af612294c9c9534dfa3586f2531.json"}}, {"family": "Lindman", "given": "Henrik", "initials": "H", "orcid": "0000-0002-5871-268X", "researcher": {"href": "https://publications.scilifelab.se/researcher/49c5d63f995546049a240cd52052e1df.json"}}, {"family": "Adra", "given": "Jamila", "initials": "J", "orcid": "0000-0001-6361-661X", "researcher": {"href": "https://publications.scilifelab.se/researcher/6c375ff5c4b540059682de096d94c20d.json"}}, {"family": "Andersson", "given": "Anne", "initials": "A", "orcid": "0000-0002-9597-6465", "researcher": {"href": "https://publications.scilifelab.se/researcher/67f8d63302ec42b3aa7b758b9a999e24.json"}}, {"family": "Agartz", "given": "Susanne", "initials": "S", "orcid": "0000-0002-1895-2515", "researcher": {"href": "https://publications.scilifelab.se/researcher/c097cacc53e14e62a480fa6da19abf0b.json"}}, {"family": "Hellstr\u00f6m", "given": "Mats", "initials": "M", "orcid": "0000-0001-7897-4006", "researcher": {"href": "https://publications.scilifelab.se/researcher/35b4a647e2994968b06152e8ab8bca81.json"}}, {"family": "Zerdes", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-8304-2462", "researcher": {"href": "https://publications.scilifelab.se/researcher/f786763a4a0e4b5bb865ebb199eb6ca2.json"}}, {"family": "Hartman", "given": "Johan", "initials": "J", "orcid": "0000-0002-6500-8527", "researcher": {"href": "https://publications.scilifelab.se/researcher/da7cefda6e00463d8ba95fc63eeb8f0a.json"}}, {"family": "Bergh", "given": "Jonas", "initials": "J", "orcid": "0000-0001-5526-1847", "researcher": {"href": "https://publications.scilifelab.se/researcher/fd38f4f7704144ed9e3f869e197175e6.json"}}, {"family": "Hatschek", "given": "Thomas", "initials": "T", "orcid": "0000-0003-3067-2492", "researcher": {"href": "https://publications.scilifelab.se/researcher/92a10c95c77a4d4eb6328c1704056ea3.json"}}, {"family": "Foukakis", "given": "Theodoros", "initials": "T", "orcid": "0000-0001-8952-9987", "researcher": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7.json"}}], "type": "clinical trial, phase ii", "published": "2023-02-01", "journal": {"title": "Clin. Cancer Res.", "issn": "1557-3265", "volume": "29", "issue": "3", "pages": "532-540", "issn-l": "1078-0432"}, "abstract": "PREDIX HER2 is a randomized Phase II trial that compared neoadjuvant docetaxel, trastuzumab, and pertuzumab (THP) with trastuzumab emtansine (T-DM1) for HER2-positive breast cancer. Rates of pathologic complete response (pCR) did not differ between the two groups. Here, we present the survival outcomes from PREDIX HER2 and investigate metabolic response and tumor-infiltrating lymphocytes (TIL) as prognostic factors.\n\nIn total, 202 patients with HER2-positive breast cancer were enrolled and 197 patients received six cycles of either THP or T-DM1. Secondary endpoints included event-free survival (EFS), recurrence-free survival (RFS), and overall survival (OS). Assessment with PET/CT was performed at baseline, after two and six treatment cycles. TILs were assessed manually at baseline biopsies, while image-based evaluation of TILs [digital TILs (DTIL)] was performed in digitized full-face sections.\n\nAfter a median follow-up of 5.21 years, there was no difference between the two treatment groups in terms of EFS [HR = 1.26; 95% confidence interval (CI), 0.54-2.91], RFS (HR = 0.69; 95% CI, 0.24-1.93), or OS (HR = 0.52; 95% CI, 0.09-2.82). Higher SUVmax at cycle 2 (C2) predicted lower pCR (ORadj = 0.65; 95% CI, 0.48-0.87; P = 0.005) and worse EFS (HRadj = 1.27; 95% CI, 1.12-1.41; P < 0.001). Baseline TILs and DTILs provided additional prognostic information to clinical parameters and C2 SUVmax.\n\nLong-term outcomes following neoadjuvant T-DM1 were similar to neoadjuvant THP. SUVmax after two cycles of neoadjuvant therapy for HER2-positive breast cancer may be an independent predictor of both short- and long-term outcomes. Combined assessment with TILs may facilitate early selection of poor responders for alternative treatment strategies.", "doi": "10.1158/1078-0432.CCR-22-2829", "pmid": "36449695", "labels": {"Bioinformatics Support for Computational Resources": "Service"}, "xrefs": [{"db": "pii", "key": "711355"}, {"db": "ClinicalTrials.gov", "key": "NCT02568839"}, {"db": "EudraCT", "key": "2014-000808-10"}], "notes": [], "created": "2023-11-27T21:58:15.413Z", "modified": "2024-01-16T13:48:33.993Z"}, {"entity": "publication", "iuid": "4de91ad2e57a4cfead3ae5561dd25b42", "links": {"self": {"href": "https://publications.scilifelab.se/publication/4de91ad2e57a4cfead3ae5561dd25b42.json"}, "display": {"href": "https://publications.scilifelab.se/publication/4de91ad2e57a4cfead3ae5561dd25b42"}}, "title": "Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction.", "authors": [{"family": "Chen", "given": "Xinsong", "initials": "X", "orcid": "0000-0002-3214-9075", "researcher": {"href": "https://publications.scilifelab.se/researcher/561d04f60c61426bb790ba83153ba651.json"}}, {"family": "Sifakis", "given": "Emmanouil G", "initials": "EG", "orcid": "0000-0001-9919-4471", "researcher": {"href": "https://publications.scilifelab.se/researcher/c8506000a14a4a5286aa557ab67ef690.json"}}, {"family": "Robertson", "given": "Stephanie", "initials": "S"}, {"family": "Neo", "given": "Shi Yong", "initials": "SY"}, {"family": "Jun", "given": "Seong-Hwan", "initials": "SH"}, {"family": "Tong", "given": "Le", "initials": "L"}, {"family": "Hui Min", "given": "Apple Tay", "initials": "AT", "orcid": "0000-0002-0600-6599", "researcher": {"href": "https://publications.scilifelab.se/researcher/97a704d35d0646bd8bed4b8123450e17.json"}}, {"family": "L\u00f6vrot", "given": "John", "initials": "J", "orcid": "0000-0002-9339-8059", "researcher": {"href": "https://publications.scilifelab.se/researcher/f6c71f7e4aa948d99d8dfbb9bf9e5d2e.json"}}, {"family": "Hellgren", "given": "Roxanna", "initials": "R", "orcid": "0000-0003-4234-8323", "researcher": {"href": "https://publications.scilifelab.se/researcher/ea34d98aaf054f3a9a92bf74416713b8.json"}}, {"family": "Margolin", "given": "Sara", "initials": "S"}, {"family": "Bergh", "given": "Jonas", "initials": "J"}, {"family": "Foukakis", "given": "Theodoros", "initials": "T", "orcid": "0000-0001-8952-9987", "researcher": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7.json"}}, {"family": "Lagergren", "given": "Jens", "initials": "J", "orcid": "0000-0002-4552-0240", "researcher": {"href": "https://publications.scilifelab.se/researcher/b956941833b843f6ace483bf4c21e643.json"}}, {"family": "Lundqvist", "given": "Andreas", "initials": "A"}, {"family": "Ma", "given": "Ran", "initials": "R"}, {"family": "Hartman", "given": "Johan", "initials": "J"}], "type": "journal article", "published": "2023-01-03", "journal": {"title": "Proc. Natl. Acad. Sci. U.S.A.", "issn": "1091-6490", "volume": "120", "issue": "1", "pages": "e2209856120", "issn-l": "0027-8424"}, "abstract": "Breast cancer (BC) is a complex disease comprising multiple distinct subtypes with different genetic features and pathological characteristics. Although a large number of antineoplastic compounds have been approved for clinical use, patient-to-patient variability in drug response is frequently observed, highlighting the need for efficient treatment prediction for individualized therapy. Several patient-derived models have been established lately for the prediction of drug response. However, each of these models has its limitations that impede their clinical application. Here, we report that the whole-tumor cell culture (WTC) ex vivo model could be stably established from all breast tumors with a high success rate (98 out of 116), and it could reassemble the parental tumors with the endogenous microenvironment. We observed strong clinical associations and predictive values from the investigation of a broad range of BC therapies with WTCs derived from a patient cohort. The accuracy was further supported by the correlation between WTC-based test results and patients' clinical responses in a separate validation study, where the neoadjuvant treatment regimens of 15 BC patients were mimicked. Collectively, the WTC model allows us to accomplish personalized drug testing within 10 d, even for small-sized tumors, highlighting its potential for individualized BC therapy. Furthermore, coupled with genomic and transcriptomic analyses, WTC-based testing can also help to stratify specific patient groups for assignment into appropriate clinical trials, as well as validate potential biomarkers during drug development.", "doi": "10.1073/pnas.2209856120", "pmid": "36574653", "labels": {"Bioinformatics Support for Computational Resources": "Service", "Chemical Biology Consortium Sweden": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC9910599"}], "notes": [], "created": "2023-10-18T18:44:02.666Z", "modified": "2025-10-17T13:04:27.767Z"}, {"entity": "publication", "iuid": "f9f4da192abc41a59c7dbafd427b7cd0", "links": {"self": {"href": "https://publications.scilifelab.se/publication/f9f4da192abc41a59c7dbafd427b7cd0.json"}, "display": {"href": "https://publications.scilifelab.se/publication/f9f4da192abc41a59c7dbafd427b7cd0"}}, "title": "Interplay between copy number alterations and immune profiles in the early breast cancer Scandinavian Breast Group 2004-1 randomized phase II trial: results from a feasibility study.", "authors": [{"family": "Zerdes", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-8304-2462", "researcher": {"href": "https://publications.scilifelab.se/researcher/f786763a4a0e4b5bb865ebb199eb6ca2.json"}}, {"family": "Simonetti", "given": "Michele", "initials": "M", "orcid": "0000-0003-3322-1697", "researcher": {"href": "https://publications.scilifelab.se/researcher/839bf10741044782aecdc77b3f06fc88.json"}}, {"family": "Matikas", "given": "Alexios", "initials": "A", "orcid": "0000-0002-4122-9624", "researcher": {"href": "https://publications.scilifelab.se/researcher/0af6483a77d746c2b838414692f1f4ed.json"}}, {"family": "Harbers", "given": "Luuk", "initials": "L", "orcid": "0000-0003-3910-6497", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbcd83e58cd74addbbcbf0ed6e1d6db7.json"}}, {"family": "Acs", "given": "Balazs", "initials": "B"}, {"family": "Boyaci", "given": "Ceren", "initials": "C", "orcid": "0000-0001-5598-0243", "researcher": {"href": "https://publications.scilifelab.se/researcher/d1a803107a224c578bf01ef65aba69ff.json"}}, {"family": "Zhang", "given": "Ning", "initials": "N", "orcid": "0000-0002-6430-4236", "researcher": {"href": "https://publications.scilifelab.se/researcher/a3fdde99294d422694c7a8a00c9811ed.json"}}, {"family": "Salgkamis", "given": "Dimitrios", "initials": "D", "orcid": "0000-0002-3020-0359", "researcher": {"href": "https://publications.scilifelab.se/researcher/826836fefcf5440ebef1c404e046a0ca.json"}}, {"family": "Agartz", "given": "Susanne", "initials": "S"}, {"family": "Moreno-Ruiz", "given": "Pablo", "initials": "P"}, {"family": "Bai", "given": "Yalai", "initials": "Y"}, {"family": "Rimm", "given": "David L", "initials": "DL", "orcid": "0000-0001-5820-4397", "researcher": {"href": "https://publications.scilifelab.se/researcher/5bb1180d52564c48876ecc4b7e635d52.json"}}, {"family": "Hartman", "given": "Johan", "initials": "J", "orcid": "0000-0002-6500-8527", "researcher": {"href": "https://publications.scilifelab.se/researcher/da7cefda6e00463d8ba95fc63eeb8f0a.json"}}, {"family": "Mezheyeuski", "given": "Artur", "initials": "A", "orcid": "0000-0002-4394-2634", "researcher": {"href": "https://publications.scilifelab.se/researcher/dd907ed1df0441b99789d3e045c4d890.json"}}, {"family": "Bergh", "given": "Jonas", "initials": "J", "orcid": "0000-0001-5526-1847", "researcher": {"href": "https://publications.scilifelab.se/researcher/fd38f4f7704144ed9e3f869e197175e6.json"}}, {"family": "Crosetto", "given": "Nicola", "initials": "N", "orcid": "0000-0002-3019-6978", "researcher": {"href": "https://publications.scilifelab.se/researcher/bb66f0013e954d99a2be4df7309b7ae3.json"}}, {"family": "Foukakis", "given": "Theodoros", "initials": "T", "orcid": "0000-0001-8952-9987", "researcher": {"href": "https://publications.scilifelab.se/researcher/7683c0280e9b4145aa54305fb08936a7.json"}}], "type": "journal article", "published": "2021-11-19", "journal": {"title": "NPJ Breast Cancer", "issn": "2374-4677", "volume": "7", "issue": "1", "pages": "144", "issn-l": null}, "abstract": "Emerging data indicate that genomic alterations can shape immune cell composition in early breast cancer. However, there is a need for complementary imaging and sequencing methods for the quantitative assessment of combined somatic copy number alteration (SCNA) and immune profiling in pathological samples. Here, we tested the feasibility of three approaches-CUTseq, for high-throughput low-input SCNA profiling, multiplexed fluorescent immunohistochemistry (mfIHC) and digital-image analysis (DIA) for quantitative immuno-profiling- in archival formalin-fixed paraffin-embedded (FFPE) tissue samples from patients enrolled in the randomized SBG-2004-1 phase II trial. CUTseq was able to reproducibly identify amplification and deletion events with a resolution of 100 kb using only 6 ng of DNA extracted from FFPE tissue and pooling together 77 samples into the same sequencing library. In the same samples, mfIHC revealed that CD4 + T-cells and CD68 + macrophages were the most abundant immune cells and they mostly expressed PD-L1 and PD-1. Combined analysis showed that the SCNA burden was inversely associated with lymphocytic infiltration. Our results set the basis for further applications of CUTseq, mfIHC and DIA to larger cohorts of early breast cancer patients.", "doi": "10.1038/s41523-021-00352-3", "pmid": "34799582", "labels": {"Clinical Genomics Stockholm": "Service", "NGI Stockholm (Genomics Applications)": "Service", "NGI Stockholm (Genomics Production)": "Service", "National Genomics Infrastructure": "Service", "Bioinformatics Support for Computational Resources": "Service", "Clinical Genomics": "Service"}, "xrefs": [{"db": "pii", "key": "10.1038/s41523-021-00352-3"}, {"db": "pmc", "key": "PMC8604966"}], "notes": [], "created": "2021-12-01T19:52:21.708Z", "modified": "2024-01-16T13:48:38.062Z"}]}