Wen-Juan Huang, Jia-Rui Yuan, Lei Zhang, Wen Wang, Shi-Di Miao, Xin Wang, Rui-Tao Wang
{"title":"Albumin-bilirubin score predicts trastuzumab resistance in HER2-positive breast cancer","authors":"Wen-Juan Huang, Jia-Rui Yuan, Lei Zhang, Wen Wang, Shi-Di Miao, Xin Wang, Rui-Tao Wang","doi":"10.3233/cbm-230077","DOIUrl":null,"url":null,"abstract":"BACKGROUND: The albumin-bilirubin (ALBI) score is a novel indicator of liver function. Some studies showed that the ALBI score was a predictive marker for the prognosis and efficacy of drug therapy in malignancies. We aimed to assess the predicted role of ALBI score in the sensitivity to therapy with trastuzumab in patients with human epidermal growth factor receptor 2 (HER2) positive breast cancer (BC). The clinical data of 226 HER2-positive BC patients at the Harbin Medical University Cancer Hospital from January 2017 and December 2018 were retrospectively collected. The ALBI score was calculated with serum albumin and bilirubin before diagnosis. The associations between ALBI score and trastuzumab resistance were analyzed by logistic regression analyses. The patients with trastuzumab resistance had higher ALBI scores compared with the patients without trastuzumab resistance. Moreover, there were weak correlations between the ALBI score and lymph node status (P= 0.093). In addition, multivariate analysis revealed that the ALBI score was an independent prognostic factor for trastuzumab resistance in HER2-positive BC. High ALBI score is associated with trastuzumab resistance in HER2-positive BC. Future studies are needed.","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"7 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Biomarkers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/cbm-230077","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND: The albumin-bilirubin (ALBI) score is a novel indicator of liver function. Some studies showed that the ALBI score was a predictive marker for the prognosis and efficacy of drug therapy in malignancies. We aimed to assess the predicted role of ALBI score in the sensitivity to therapy with trastuzumab in patients with human epidermal growth factor receptor 2 (HER2) positive breast cancer (BC). The clinical data of 226 HER2-positive BC patients at the Harbin Medical University Cancer Hospital from January 2017 and December 2018 were retrospectively collected. The ALBI score was calculated with serum albumin and bilirubin before diagnosis. The associations between ALBI score and trastuzumab resistance were analyzed by logistic regression analyses. The patients with trastuzumab resistance had higher ALBI scores compared with the patients without trastuzumab resistance. Moreover, there were weak correlations between the ALBI score and lymph node status (P= 0.093). In addition, multivariate analysis revealed that the ALBI score was an independent prognostic factor for trastuzumab resistance in HER2-positive BC. High ALBI score is associated with trastuzumab resistance in HER2-positive BC. Future studies are needed.
期刊介绍:
Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.