{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T06:27:16Z","timestamp":1787120836939,"version":"build-2736575974"},"reference-count":86,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T00:00:00Z","timestamp":1787097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Immunol."],"abstract":"<jats:p>\n                    Immunotherapy biomarker research has long relied on peripheral blood as the main sample source. However, significant spatial heterogeneity exists between peripheral blood and the tumor microenvironment (TME). This perspective article proposes that the core limitation of current biomarker studies is not throughput or omics technology, but rather the incomplete integration of spatial information. We scrutinize the phenomenon of \u201cspatial decoupling\u201d between peripheral blood and the TME in terms of immune composition, dynamic responses, and clinical predictive performance. It is evident that blood-based biomarkers cannot adequately capture the key events within the TME that determine treatment efficacy. To address this gap, we propose three pathways for paradigm reconstruction: spatially resolved\n                    <jats:italic>in situ<\/jats:italic>\n                    analysis, microenvironment-guided longitudinal sampling, and paired peripheral\u2013TME modeling. In conclusion, we advocate for incorporating the spatial dimension as a fundamental parameter in future biomarker discovery. This reconceptualization aims to bridge the peripheral\u2013TME divide and advance precision immuno-oncology.\n                  <\/jats:p>","DOI":"10.3389\/fimmu.2026.1846143","type":"journal-article","created":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T05:44:25Z","timestamp":1787118265000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["From peripheral blood to tumor microenvironment: spatial dimension deficiency and paradigm reconstruction in immunotherapy biomarker research"],"prefix":"10.3389","volume":"17","author":[{"given":"Shu-xun","family":"Yan","sequence":"first","affiliation":[{"name":"Department of Thyroid and Breast Surgery, The First Hospital of Yulin","place":["Yulin, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting-ting","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Liaoning Cancer Hospital","place":["Shenyang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Liaoning Cancer Hospital","place":["Shenyang, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,19]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13030558","article-title":"PD-L1, TMB, MSI, and other predictors of response to immune checkpoint inhibitors in biliary tract cancer","volume":"13","author":"Rizzo","year":"2021","journal-title":"Cancers (Basel)"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.critrevonc.2023.104135","article-title":"Immunotherapy-related biomarkers: confirmations and uncertainties","volume":"192","author":"Catalano","year":"2023","journal-title":"Crit Rev Oncol Hematol"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.88647","article-title":"Predictive 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