{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T01:51:24Z","timestamp":1777945884109,"version":"3.51.4"},"reference-count":39,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T00:00:00Z","timestamp":1774828800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T00:00:00Z","timestamp":1774828800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100008730","name":"Kreftforeningen","doi-asserted-by":"publisher","award":["270870"],"award-info":[{"award-number":["270870"]}],"id":[{"id":"10.13039\/100008730","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Prostate"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Prognostic biomarker panels identified through bulk sequencing approaches have shown utility in localized prostate cancer but are limited by underlying molecular heterogeneity. Spatial transcriptomics offers a complementary approach to investigate spatial gene expression patterns and the tissue\u2010 and cell\u2010type\u2010associated localization of their constituent biomarker genes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using publicly available data, we analyzed biomarker genes from four prognostic panels (Oncotype DX, Prolaris, Decipher, and ProClass\u2014an in\u2010house candidate panel) across 37 tissue sections from two patients with localized high\u2010grade disease. Analyses were performed to quantify biomarker gene abundance across tissue sections using the Visium Spatial Platform, assess spatial variability using global Moran's I, and identify biomarker localization to specific biological niches through spatial co\u2010expression network analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Tissue type composition varied markedly between tissue sections. Several genes from Oncotype DX (\n                      <jats:italic>KLK2<\/jats:italic>\n                      ,\n                      <jats:italic>AZGP1<\/jats:italic>\n                      ,\n                      <jats:italic>TPM2<\/jats:italic>\n                      ,\n                      <jats:italic>GSN, FLNC, COL1A1<\/jats:italic>\n                      ) and Decipher (\n                      <jats:italic>ANO7<\/jats:italic>\n                      ,\n                      <jats:italic>MYBPC1<\/jats:italic>\n                      ) were consistently spatially variable across the samples (mean global Moran's\u202fI &gt;\u20090.1). In contrast, cell cycle\u2010associated genes, predominantly in the Prolaris panel, exhibited weak expression limited to a small proportion of sample spots. ProClass genes also showed limited expression, impeding robust spatial analysis. Weighted gene co\u2011expression network analysis identified spatial modules closely aligned to histopathological annotations, linking most Oncotype DX genes to stromal networks, whereas Decipher genes spanned diverse networks.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Spatial transcriptomics revealed significant variability in biomarker gene expression across highly heterogeneous prostate cancer tissue sections from two patients, providing proof\u2010of\u2010concept for its potential use in prognostic biomarker panel research. Several Oncotype DX genes were notably spatially variable, predominantly localizing to stromal regions, whilst the majority of biomarker genes from other panels exhibited non\u2010spatial patterns. Although low\u2010abundance genes may be impacted by current technological limitations, integrating spatial data into biomarker research holds promise for developing \u201cspatially robust\u201d panels to provide reliable prognostic information amidst molecular heterogeneity in prostate cancer.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/pros.70164","type":"journal-article","created":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T19:37:01Z","timestamp":1774899421000},"page":"929-940","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatial Robustness of Prostate Cancer Biomarkers Evaluated by Spatial Transcriptomics"],"prefix":"10.1002","volume":"86","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-5658-2139","authenticated-orcid":false,"given":"Kristofer G.","family":"Taylor","sequence":"first","affiliation":[{"name":"Department of Molecular Oncology, Institute for Cancer Research Oslo University Hospital\u2010Radiumhospitalet Oslo Norway"},{"name":"Department of Clinical and Molecular Medicine Norwegian University of Science and Technology Trondheim Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bjarne","family":"Johannessen","sequence":"additional","affiliation":[{"name":"Department of Molecular Oncology, Institute for Cancer Research Oslo University Hospital\u2010Radiumhospitalet Oslo Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ian G.","family":"Mills","sequence":"additional","affiliation":[{"name":"Nuffield Department of Surgical Sciences University of Oxford Oxford UK"},{"name":"Department of Biomedicine Aarhus University Aarhus Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Morten B.","family":"Rye","sequence":"additional","affiliation":[{"name":"Department of Clinical and Molecular Medicine Norwegian University of Science and Technology Trondheim Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karol","family":"Axcrona","sequence":"additional","affiliation":[{"name":"Department of Molecular Oncology, Institute for Cancer Research Oslo University Hospital\u2010Radiumhospitalet Oslo Norway"},{"name":"Department of Urology Akershus University Hospital L\u00f8renskog Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5609-4048","authenticated-orcid":false,"given":"Rolf I.","family":"Skotheim","sequence":"additional","affiliation":[{"name":"Department of Molecular Oncology, Institute for Cancer Research Oslo University Hospital\u2010Radiumhospitalet Oslo Norway"},{"name":"Department of Informatics University of Oslo Oslo Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,3,30]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21834"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2025.0228"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41585-020-0349-1"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2018.08.009"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1177\/17562872221103988"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/clinpract14020039"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-14-690"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/s1470-2045(10)70295-3"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0066855"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41417-022-00444-7"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41368-021-00146-0"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-024-07161-x"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41698-024-00540-x"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2016.07.008"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13073-022-01075-1"},{"key":"e_1_2_13_17_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-023-03145-y"},{"key":"e_1_2_13_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.crmeth.2023.100498"},{"key":"e_1_2_13_19_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-022-05023-2"},{"key":"e_1_2_13_20_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-54364-1"},{"key":"e_1_2_13_21_1","unstructured":"Spatially Resolved Clonal Copy Number Alterations in Benign and Malignant Tissue. 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