biostudies-literaturePei JChen Xiao-ping Foundation for the Development of Science and Techonology of Hubei ProvinceWu Jieping medical foundation30067https://www.ebi.ac.uk/biostudies/studies/S-EPMC11615351biostudies-literatureUnknown14(1)Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, which can seriously harm the health of cancer patients. However, there is currently a lack of effective and reliable biomarkers for the early diagnosis of TIC in clinical practice. Therefore, we screened the TIC candidate diagnostic gene solute carrier family 6 member 6 (SLC6A6) by combining multi-machine learning algorithm based on bioinformatics. In addition, cross-validation showed that SLC6A6 had a consistent expression trend in multi-data-sets. To further explore the diagnostic capability of SLC6A6 in TIC, we constructed a nomogram diagnostic model based on SLC6A6 expression level, and receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis proved that SScientific reportsExploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.PMC11615351No. 320.6750.2023-18-21No. CXPJJH122011-011Wu ZLiu YFeng LWang QPei JMu QWang ZfalseExploring an novel diagnostic gene of trastuzumab-induced cardiotoxicity based on bioinformatics and machine learning.Trastuzumab (Tra)-induced cardiotoxicity (TIC) is a serious side effect of cancer chemotherapy, which can seriously harm the health of cancer patients. However, there is currently a lack of effective and reliable biomarkers for the early diagnosis of TIC in clinical practice. Therefore, we screened the TIC candidate diagnostic gene solute carrier family 6 member 6 (SLC6A6) by combining multi-machine learning algorithm based on bioinformatics. In addition, cross-validation showed that SLC6A6 had a consistent expression trend in multi-data-sets. To further explore the diagnostic capability of SLC6A6 in TIC, we constructed a nomogram diagnostic model based on SLC6A6 expression level, and receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis proved that S2024-01-01T00:00:00Z2024 Dec2026-06-01T20:40:21.69Z2025-04-06T17:29:05.083ZS-EPMC116153513962731710.1038/s41598-024-81335-9