School of Bioinnovation and Bio-Based Product Intelligence, Faculty of Science, Mahidol University, Rama VI Rd, Bangkok, 10400, Thailand.
Thailand Center of Excellence in Physics, Ministry of Higher Education, Science, Research and Innovation, 328 Si Ayutthaya Road, Bangkok, 10400, Thailand.
J Cancer Res Clin Oncol. 2023 Jul;149(8):4347-4358. doi: 10.1007/s00432-022-04330-5. Epub 2022 Sep 13.
Breast cancer residual disease assessment in early-stage patients has been challenging and lacks routine identification of adjuvant therapy benefit and objective measure of therapy success. Liquid biopsy assays targeting tumor-derived entities are investigated for minimal residual disease detection, yet perform low in clinical sensitivity. We propose the detection of CD44-related systemic inflammation for the assessment of residual cancer.
Circulating CD44+/CD45- rare cells from healthy, noncancer- and cancer-afflicted donors were enriched by CD45 depletion and analyzed by immuno-fluorescence microscopy. CD44+ rare cell subtyping was based on cytological feature analysis and referred to as morphological index. AUC analysis was employed for identification of the most cancer-specific CD44+ subtype.
The EpCam-/CD44+/CD24-/CD71-/CD45-/DNA+ phenotype alludes to a distinct cell type and was found frequently at concentrations below 5 cells per 5 mL in healthy donors. Marker elevation by at least 5 × on average was observed in all afflicted cohorts. The positive predicted value for the prediction of malignancy-associated systemic inflammation of a CD44+ rare cell subtype with a higher morphological index was 87%. An outlook for the frequency of sustained inflammation in residual cancer may be given to measure 78%.
The CD44+ rare cell and subtype denotes improvement in detection of residual cancer disease and may provide an objective and alternative measure of disease burden in early-stage breast cancer.
早期患者的乳腺癌残留疾病评估一直具有挑战性,并且缺乏辅助治疗获益的常规识别和治疗成功的客观衡量标准。针对肿瘤衍生实体的液体活检检测正在被研究用于微小残留疾病的检测,但在临床灵敏度方面表现不佳。我们提出检测与 CD44 相关的全身性炎症,以评估残留癌症。
通过 CD45 耗竭从健康、非癌症和癌症患者中富集循环 CD44+/CD45-稀有细胞,并通过免疫荧光显微镜进行分析。根据细胞学特征分析对 CD44+稀有细胞进行亚型分类,并称为形态指数。AUC 分析用于识别最具癌症特异性的 CD44+亚型。
EpCam-/CD44+/CD24-/CD71-/CD45-/DNA+表型暗示了一种独特的细胞类型,并且在健康供体中的浓度低于 5 个细胞/5mL 时经常发现。在所有受影响的队列中,标志物均升高了至少 5×。具有较高形态指数的 CD44+稀有细胞亚型预测与恶性相关的全身性炎症的阳性预测值为 87%。测量持续炎症在残留癌症中的频率可能会提供一个展望,以评估其频率达到 78%。
CD44+稀有细胞和亚型的检测可改善残留癌症疾病的检测,并且可能为早期乳腺癌的疾病负担提供客观和替代的衡量标准。