{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T18:43:58Z","timestamp":1792176238804,"version":"4.4.0"},"reference-count":81,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFC2500900\/2021YFC2500901"],"award-info":[{"award-number":["2021YFC2500900\/2021YFC2500901"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82303338"],"award-info":[{"award-number":["82303338"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical &amp; Translational Med"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Plasma protein has gained prominence in the non\u2010invasive predicting of lung cancer. We utilised Zeolite Zotero NaY\u2010based plasma proteomics to investigate its potential for multiple event predicting, including lung cancer diagnosis (task #1), lymph node metastasis detection (task #2) and tumour\u2012node\u2012metastasis (TNM) staging (task #3).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 4703 plasma proteins were quantified from 241 participants based on a prospective cohort of 2757 participants. An additional 46 participants from external prospective cohort of 735 participants were used for validation. Feature selection was performed using differential expressed protein analysis, area under curve (AUC) evaluation and least absolute shrinkage and selection operator (LASSO) regression. Random forest was used for multitask model construction based on the key proteins. Feature importance was interpreted using Shapley additive explanations (SHAP) algorithm.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>For task #1, 10 proteins panel showed an AUC of\u00a0.87 (.77\u2012.97) in the external validation. After integrating clinical factors, a significant increase diagnostic accuracy was observed with AUC of\u00a0.91 (.85\u2012.98). For task #2, nine proteins panel achieved an AUC of\u00a0.88 (.80\u2012.96), integration model showed an increase diagnostic accuracy with AUC of\u00a0.90 (.85\u2012.97). For task #3, 10 proteins panel showed an AUC of\u00a0.88 (.74\u2012.96) for stage I,\u00a0.92 (.84\u2012.97) for stage II,\u00a0.88 (.76\u2012.96) for stage III and\u00a0.99 (.98\u2012.99) for stage IV in the integration model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study comprehensively profiled the NaY\u2010based plasma proteome biomarker, laying the foundation for a high\u2010performance blood test for predicting multiple events in lung cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key points<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Our study developed an innovative nanomaterial, Zeolite NaY, which addressed the masking effect and improved the depth of the proteome.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The performance of NaY\u2010based plasma proteomics as a preclinical diagnostic tool was validated through both internal and external cohort.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Furthermore, we explored the different patterns of plasma protein changes during the progression of lung cancer and used the explanations method to elucidate the roles of proteins in the multitask predictive model.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  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