{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"medRxiv"}],"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T08:31:59Z","timestamp":1770107519358,"version":"3.49.0"},"posted":{"date-parts":[[2026,1,15]]},"group-title":"Oncology","reference-count":64,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T00:00:00Z","timestamp":1768435200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,1,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Glioblastoma multiforme (GBM) is an aggressive brain tumor that is notoriously resistant to treatment, with an average survival time of 17 months. While the overall outcome is poor for both males and females, sex differences in GBM incidence and outcome suggest sex-specific biological mechanisms underlie tumorigenesis. In contrast, low-grade glioma (LGG) is a less aggressive brain tumor that tends to have a better prognosis and a longer survival time.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>To understand mechanisms contributing to treatment resistance in GBM in both males and females, we inferred gene regulatory networks (GRNs) for males and females with LGG and GBM using RNA-seq data from The Cancer Genome Atlas (TCGA). We analyzed these to identify both sex-specific and sex-stratified gene regulation in GBM.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We found few sex-specific differences in gene regulation in individuals with LGG, consistent with the lack of evidence for significant clinical endpoints dependent on sex. However, in GBM-we found sex-specific differential targeting of several pathways, including hypoxia and related pathways (carbohydrate metabolism, innate immune processes, and extracellular matrix pathways) known to be dysregulated in hypoxic conditions. In comparing between individuals with GBM, we found that females exhibited a greater degree of co-regulation between hypoxia with the aforementioned downstream pathways than did males.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Our results suggest that dysregulation of hypoxia-related pathways in GBM plays a female-specific role in resistance to treatment and overall outcomes.<\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2026.01.13.26344041","type":"posted-content","created":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T16:30:13Z","timestamp":1768494613000},"source":"Crossref","is-referenced-by-count":0,"title":["Gene regulatory network analysis identifies dysregulation of hypoxia pathways as contributing to glioblastoma multiforme treatment resistance in females"],"prefix":"10.64898","author":[{"given":"Tomisin","family":"Adebari","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Johns Hopkins University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3852-6908","authenticated-orcid":false,"given":"Viola","family":"Fanfani","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marouen","family":"Ben Guebila","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health"},{"name":"Department of Medical Oncology, Dana-Farber Cancer Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derrick","family":"DeConti","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0402-3771","authenticated-orcid":false,"given":"Katherine Hoff","family":"Shutta","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Camila M.","family":"Lopes-Ramos","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. Chan School of Public Health"},{"name":"Channing Division of Network Medicine, Brigham and Women\u2019s Hospital"},{"name":"Department of Medicine, Harvard Medical School"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lauren","family":"Hsu","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, Harvard T.H. 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