Tan Chunlei, Wu Danping, Yang Xiaotian, Zhang Shiyuan, Liu Shuqiang, Yu Boqian, Yu Xiao, Xiu Yuting, Huang Yuanxi
Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, 150081, PR China.
Heliyon. 2024 Dec 12;11(1):e41180. doi: 10.1016/j.heliyon.2024.e41180. eCollection 2025 Jan 15.
TOX is a transcription factor that is implicated in the regulation of T cell exhaustion in tumors. TOX has been proven to have prognostic value in some malignant tumors. We aim to analyze the expression of TOX in breast cancer patients, and the association between TOX and prognostic significance in patients with breast cancer.
313 breast cancer patients were enrolled into this study. The expression of TOX was determined by immunohistochemistry assay. Survival curves were performed by Kaplan-Meier and log-rank test. The potential independent factors were assessed by Cox regression analyses. Nomogram models, calibration curve, decision curve analyses were applied to analyze the clinical utility of predictive models.
According to semi-quantitative scoring, 129 patients were classified into low group, and 184 patients were classified into high group. Patients with high expression of TOX had a longer survival than those with low expression of TOX (DFS: 71.70 vs. 64.05 months, χ = 11.6300, P = 0.00065; OS: 81.03 vs. 73.72 months, χ = 11.4200, P = 0.00073). Based on Cox regression analyses, multivariate analysis indicated that TOX was the potential prognostic factor for both DFS (HR: 0.412, 95 % CI: 0.248-0.684, P = 0.001) and OS (HR: 0.395, 95 % CI: 0.237-0.660, P < 0.0001). Calibration curve analysis showed that the predicted line was well-matched with baseline regarding postoperative 1-, 3-, and 5-year survival rate.
The expression of TOX is a potential prognostic factor, and can be a promising biomarker for predicting survival in breast cancer patients.
TOX是一种转录因子,与肿瘤中T细胞耗竭的调节有关。已证明TOX在某些恶性肿瘤中具有预后价值。我们旨在分析TOX在乳腺癌患者中的表达,以及TOX与乳腺癌患者预后意义之间的关联。
313例乳腺癌患者纳入本研究。采用免疫组织化学法检测TOX的表达。采用Kaplan-Meier法和对数秩检验绘制生存曲线。通过Cox回归分析评估潜在的独立因素。应用列线图模型、校准曲线、决策曲线分析来分析预测模型的临床实用性。
根据半定量评分,129例患者分为低表达组,184例患者分为高表达组。TOX高表达患者的生存期长于TOX低表达患者(无病生存期:71.70个月对64.05个月,χ² = 11.6300,P = 0.00065;总生存期:81.03个月对73.72个月,χ² = 11.4200,P = 0.00073)。基于Cox回归分析,多因素分析表明TOX是无病生存期(风险比:0.412,95%可信区间:0.248 - 0.684,P = 0.001)和总生存期(风险比:0.395,95%可信区间:0.237 - 0.660,P < 0.0001)的潜在预后因素。校准曲线分析表明,预测线与术后1年、3年和5年生存率的基线拟合良好。
TOX的表达是一个潜在的预后因素,可能成为预测乳腺癌患者生存的有前景的生物标志物。