Division of Hematology, Mayo Clinic, Rochester, MN, USA.
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Br J Haematol. 2019 Apr;185(2):254-260. doi: 10.1111/bjh.15800. Epub 2019 Feb 15.
Despite the absence of high-risk cytogenetics and lower International Staging System (ISS) stages, a subset of patients with multiple myeloma (MM) experience poor overall survival (OS). We studied 1461 patients with newly diagnosed MM to identify patient and disease characteristics that predict a high-risk phenotype among standard-risk patients. Fifty-six percent of all patients presented with standard-risk disease. Among them, advanced age, extremes of body mass index, non-hyperdiploid karyotype and abnormal lymphocyte counts were associated with worse OS. Standard-risk patients with 0-1 of these adverse factors (hazard ratio [HR] 0·32, 95% confidence interval [CI] 0·24-0·43, P < 0·001) and 2 adverse factors (HR 0·54, 95% CI 0·41-0·72, P < 0·001) experienced better OS than high-risk patients. Two or more adverse factors were present in 17% of standard-risk patients and were associated with OS comparable to high-risk patients (HR 0·91, 95% CI 0·67-1·24, P = 0·548). Predictive power among standard-risk patients was improved using score groups compared to ISS stages. Patients with standard-risk MM are a heterogeneous group with one in six patients experiencing OS comparable to high-risk disease. Patients at risk can be identified using readily available patient and disease characteristics. These findings emphasize the importance of accurate risk stratification and help explain part of the heterogeneity observed in clinical practice.
尽管存在低危细胞遗传学和国际分期系统(ISS)较低的分期,但多发性骨髓瘤(MM)患者中仍有一部分患者总体生存率(OS)较差。我们研究了 1461 例新诊断的 MM 患者,以确定预测标准风险患者中高危表型的患者和疾病特征。所有患者中有 56%表现为标准风险疾病。其中,高龄、体重指数极端、非超二倍体核型和异常淋巴细胞计数与较差的 OS 相关。标准风险患者中仅有 0-1 个这些不良因素(危险比[HR]0·32,95%置信区间[CI]0·24-0·43,P<0·001)和 2 个不良因素(HR 0·54,95%CI 0·41-0·72,P<0·001)的 OS 优于高危患者。标准风险患者中有 17%存在 2 个或更多不良因素,与高危患者的 OS 相当(HR 0·91,95%CI 0·67-1·24,P=0·548)。与 ISS 分期相比,使用评分组可提高标准风险患者的预测能力。标准风险 MM 患者是一个异质性群体,其中 1/6 的患者的 OS 与高危疾病相当。可以使用现成的患者和疾病特征来识别有风险的患者。这些发现强调了准确风险分层的重要性,并有助于解释临床实践中观察到的部分异质性。