{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T04:12:58Z","timestamp":1788581578583,"version":"build-2803163510"},"reference-count":31,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2023JJ30831"],"award-info":[{"award-number":["2023JJ30831"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Cancer Biomarkers"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The heterogeneity of hepatocellular carcinoma (HCC) complicates diagnosis and treatment, and previous prognostic models have failed to yield satisfactory results. Given that the metabolic reprogramming of cholesterol plays a crucial role in the pathogenic mechanism of hepatocellular carcinoma, this study was conducted as a breakthrough point.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Utilizing multi-cohort data from TCGA, ICGC, and GEO, we screened Cholesterol metabolism-related genes (CMRGs) to construct a CMRG-derived prognostic model based on two key genes:\n                      <jats:italic toggle=\"yes\">KIF20A<\/jats:italic>\n                      and\n                      <jats:italic toggle=\"yes\">NDC80<\/jats:italic>\n                      . Predictive performance was evaluated via Kaplan-Meier and ROC analyses. Additionally, the tumor immune microenvironment (TME) was characterized using CIBERSORT and ESTIMATE algorithms.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The two-gene signature stratified patients into high- and low-risk groups, with high-risk patients showing poorer survival (HR = 2.71,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; 0.001). Elevated risk scores correlated with an immunosuppressive TME enriched in monocytes\/macrophages. Exploratory anti-PD-1 analysis suggested higher risk scores were associated with non-response, warranting further validation.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The integrated nomogram achieved AUC values of 0.747 (95% CI: 0.665-0.830), 0.728 (95% CI: 0.652-0.804), and 0.778 (95% CI: 0.706-0.851) for 1-, 2-, and 3-year predictions. This KIF20A\/NDC80-based model is a reliable prognostic tool for HCC; its immunotherapeutic utility remains exploratory and requires prospective validation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/18758592261479725","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T17:29:16Z","timestamp":1788370156000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Identification of a cholesterol metabolism-related signature based on KIF20A and NDC80 for prognostic stratification and immunotherapy prediction in hepatocellular carcinoma"],"prefix":"10.1177","volume":"43","author":[{"given":"Yu","family":"Yan","sequence":"first","affiliation":[{"name":"Central South University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenguo","family":"Liu","sequence":"additional","affiliation":[{"name":"Central South University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Central South University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiafeng","family":"Zou","sequence":"additional","affiliation":[{"name":"Central South University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7644-8274","authenticated-orcid":false,"given":"Xinyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Central South University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,9,2]]},"reference":[{"key":"e_1_3_8_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(18)30010-2"},{"key":"e_1_3_8_3_2","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2008.02.090"},{"key":"e_1_3_8_4_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-020-00240-3"},{"key":"e_1_3_8_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2018.03.019"},{"key":"e_1_3_8_6_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41392-020-0187-x"},{"key":"e_1_3_8_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2011.02.013"},{"key":"e_1_3_8_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbcan.2020.188394"},{"key":"e_1_3_8_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.canlet.2020.12.019"},{"key":"e_1_3_8_10_2","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/2014625"},{"key":"e_1_3_8_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmet.2015.12.010"},{"key":"e_1_3_8_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.it.2021.11.007"},{"key":"e_1_3_8_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmet.2019.04.002"},{"key":"e_1_3_8_14_2","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2018-317581"},{"key":"e_1_3_8_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(17)31046-2"},{"key":"e_1_3_8_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2013.02.022"},{"key":"e_1_3_8_17_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1915745"},{"key":"e_1_3_8_18_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41423-020-00572-w"},{"key":"e_1_3_8_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhep.2023.01.011"},{"key":"e_1_3_8_20_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41575-021-00438-0"},{"key":"e_1_3_8_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ccell.2023.02.014"},{"key":"e_1_3_8_22_2","doi-asserted-by":"publisher","DOI":"10.3390\/cancers16172958"},{"key":"e_1_3_8_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.gendis.2020.01.014"},{"key":"e_1_3_8_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11894-022-00835-8"},{"key":"e_1_3_8_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2023.3322753"},{"key":"e_1_3_8_26_2","doi-asserted-by":"publisher","DOI":"10.1038\/nrc.2016.76"},{"key":"e_1_3_8_27_2","doi-asserted-by":"publisher","DOI":"10.1038\/ncb2482"},{"key":"e_1_3_8_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2013.12.015"},{"key":"e_1_3_8_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbamem.2013.07.018"},{"key":"e_1_3_8_30_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12920-020-00812-y"},{"key":"e_1_3_8_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2022.07.030"},{"key":"e_1_3_8_32_2","doi-asserted-by":"publisher","DOI":"10.7150\/ijbs.66913"}],"container-title":["Cancer Biomarkers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/18758592261479725","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/18758592261479725","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/18758592261479725","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,5]],"date-time":"2026-09-05T03:47:56Z","timestamp":1788580076000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/18758592261479725"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":31,"alternative-id":["10.1177\/18758592261479725"],"URL":"https:\/\/doi.org\/10.1177\/18758592261479725","relation":{},"ISSN":["1574-0153","1875-8592"],"issn-type":[{"value":"1574-0153","type":"print"},{"value":"1875-8592","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]},"article-number":"18758592261479725"}}