Department of Medical Oncology, Afyon Health Sciences University School of Medicine, Afyonkarahisar, Turkey.
Department of Medical Oncology, Sakarya University Training and Research Hospital, Sakarya, Turkey.
J Coll Physicians Surg Pak. 2022 Jan;32(1):86-91. doi: 10.29271/jcpsp.2022.01.86.
To evaluate the prognostic role of pan immune-inflammation value (PIV) in young breast cancer patients.
Descriptive study.
Department of Medical Oncology, Afyon University of Health Sciences, School of Medicine Hospital, Turkey, between January 2010 and December 2020.
Patients who were under the age of 40 years at the time of diagnosis were included. Patients' characteristics and disease parameters were recorded. PIV was calculated according to (neutrophil x platelet x monocyte/lymphocyte, i.e. NxPxM/L) formula. Since a cut-off value with max sensitivity and specificity could not be obtained with ROC analysis, the median value of PIV was used as cut-off value. The relationship between PIV and pathological parameters was evaluated by ROC curves. The Kaplan-Meier method was used for OS and the log-rank test was used to evaluate the survival differences between the two groups, according to the optimal cut-off point.
Based on the PIV cut-off value of 121 (49.8%) patients were in the low PIV and 122 (50.2%) patients were in the high PIV group. The patients in the high PIV group had a statistically significantly more advanced AJCC stage, and were younger patients. In the survival analysis, it was observed that the survival was worse in the high PIV group but this difference did not reach statistical significance (p=0.112).
Higher PIV levels at the time of diagnosis can be another prognostic marker. However, to clarify the PIV prognostic value, it needs to be validated in larger, multi-centre prospective clinical studies. Key Words: Breast cancer, Pan immune-inflammation value (PIV), Prognosis, Young women.
评估全身免疫炎症值(PIV)在年轻乳腺癌患者中的预后作用。
描述性研究。
土耳其阿菲永卡拉希萨尔大学健康科学医学院医学肿瘤学系,2010 年 1 月至 2020 年 12 月。
纳入诊断时年龄在 40 岁以下的患者。记录患者的特征和疾病参数。根据(中性粒细胞 x 血小板 x 单核细胞/淋巴细胞,即 NxPxM/L)公式计算 PIV。由于 ROC 分析无法获得具有最大敏感性和特异性的截止值,因此使用 PIV 的中位数作为截止值。通过 ROC 曲线评估 PIV 与病理参数之间的关系。根据最佳截断值,采用 Kaplan-Meier 法评估 OS,采用对数秩检验评估两组间生存差异。
根据 PIV 截断值,121 例(49.8%)患者为低 PIV 组,122 例(50.2%)患者为高 PIV 组。高 PIV 组患者的 AJCC 分期明显更晚,且年龄更小。在生存分析中,高 PIV 组的生存情况较差,但差异无统计学意义(p=0.112)。
诊断时较高的 PIV 水平可能是另一个预后标志物。然而,为了明确 PIV 的预后价值,还需要在更大的、多中心的前瞻性临床研究中进行验证。
乳腺癌;全身免疫炎症值(PIV);预后;年轻女性。