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原发性与远处转移之间的乳腺癌生物标志物演变:发生率及意义。

Breast biomarkers evolution between primary and distant metastasis: incidence and significance.

作者信息

Khedr Maha, Gandhi Shipra, Roy Arya Mariam, Alharbi Malak, George Anthony, Attwood Kristopher, Khoury Thaer

机构信息

Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.

Department of Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.

出版信息

Histopathology. 2025 Apr;86(5):793-804. doi: 10.1111/his.15387. Epub 2024 Dec 17.

Abstract

AIMS

To evaluate the evolution when breast cancer (BC) is classified as three clinical profiles and five clinical profiles by incorporating human epidermal growth factor 2 (HER2)-low to the biomarkers' profile.

METHODS AND RESULTS

BC with distant metastasis that has document hormonal receptors (HR) (positive, negative) and HER2 (positive, low, zero) results were included (n = 161). Cases were categorised into three clinical profiles (HR-positive/HER2-negative, HER2-positive and TNBC) and five (HR-positive/HER2-zero, HR-positive/HER2-low, HR-negative/HER2-zero, HR-negative/HER2-low, HR-positive or negative/HER2-positive). Evolution occurred in 22.4% cases when three clinical profiles were analysed and 36.6% considering five clinical profiles. There were no statistically significant differences among the three clinical profiles in overall survival (OS). When five clinical profiles were analysed, HR-negative/HER2-zero had the worst OS with HzR = 6.82 and 95% confidence interval (CI) =1.19, 39.23, P = 0.031. In the multivariable analysis, ER-positive was associated with HER2 discordance less than oestrogen receptor (ER)-negative with odds ratio (OR) = 0.354 and 95% CI = 0.14-0.88, P = 0.025. In the multivariable analysis, patients with Eastern Cooperative Oncology Group 2+ had worse OS with hazard ratio (HzR) = 5.54 and 95% CI = 2.4-12.79, P < 0.0001. HR concordant had better OS with HzR = 0.34 and 95% CI = 0.2-0.63, P = 0.0004. HER2 conversion from low to zero had worse OS than HER2 concordance with HzR 2.66 and 95% CI = 1.21-5.83, P = 0.015.

CONCLUSIONS

Five-profile classification provides a more accurate idea about the rate of potential change in treating BC in the metastatic setting.

摘要

目的

通过将人表皮生长因子2(HER2)低表达纳入生物标志物谱,评估将乳腺癌(BC)分为三种临床类型和五种临床类型时的疾病进展情况。

方法与结果

纳入有远处转移且有激素受体(HR)(阳性、阴性)和HER2(阳性、低表达、零表达)结果记录的BC患者(n = 161)。病例被分为三种临床类型(HR阳性/HER2阴性、HER2阳性和三阴乳腺癌)和五种(HR阳性/HER2零表达、HR阳性/HER2低表达、HR阴性/HER2零表达、HR阴性/HER2低表达、HR阳性或阴性/HER2阳性)。分析三种临床类型时,22.4%的病例出现疾病进展;考虑五种临床类型时,这一比例为36.6%。三种临床类型的总生存期(OS)无统计学显著差异。分析五种临床类型时,HR阴性/HER2零表达的OS最差,风险比(HzR)= 6.82,95%置信区间(CI)= 1.19,39.23,P = 0.031。多变量分析中,雌激素受体(ER)阳性与HER2不一致的相关性低于ER阴性,优势比(OR)= 0.354,95% CI = 0.14 - 0.88,P = 0.025。多变量分析中,东部肿瘤协作组体能状态2+及以上的患者OS较差,HzR = 5.54,95% CI = 2.4 - 12.79,P < 0.0001。HR一致的患者OS较好,HzR = 0.34,95% CI = 0.2 - 0.63,P = 0.0004。HER2从低表达转变为零表达的OS比HER2一致的情况更差,HzR = 2.66,95% CI = 1.21 - 5.83,P = 0.015。

结论

五种类型分类能更准确地反映转移性乳腺癌治疗中潜在变化的发生率。

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