Department of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
Cancer Res. 2020 Nov 1;80(21):4828-4839. doi: 10.1158/0008-5472.CAN-20-1030. Epub 2020 Sep 15.
Radiologic techniques remain the main method for early detection for breast cancer and are critical to achieve a favorable outcome from cancer. However, more sensitive detection methods to complement radiologic techniques are needed to enhance early detection and treatment strategies. Using our recently established culturing method that allows propagation of normal and cancerous breast epithelial cells of luminal origin, flow cytometry characterization, and genomic sequencing, we show that cancer cells can be detected in breast milk. Cells derived from milk from the breast with cancer were enriched for CD49f/EpCAM, CD44/CD24, and CD271 cancer stem-like cells (CSC). These CSCs carried mutations within the cytoplasmic retention domain of HDAC6, stop/gain insertion in MORF4L1, and deletion mutations within SWI/SNF complex component SMARCC2. CSCs were sensitive to HDAC6 inhibitors, BET bromodomain inhibitors, and EZH2 inhibitors, as mutations in SWI/SNF complex components are known to increase sensitivity to these drugs. Among cells derived from breast milk of additional ten women not known to have breast cancer, two of them contained cells that were enriched for the CSC phenotype and carried mutations in NF1 or KMT2D, which are frequently mutated in breast cancer. Breast milk-derived cells with NF1 mutations also carried copy-number variations in CDKN2C, PTEN, and REL genes. The approach described here may enable rapid cancer cell characterization including driver mutation detection and therapeutic screening for pregnancy/postpartum breast cancers. Furthermore, this method can be developed as a surveillance or early detection tool for women at high risk for developing breast cancer. SIGNIFICANCE: These findings describe how a simple method for characterization of cancer cells in pregnancy and postpartum breast cancer can be exploited as a surveillance tool for women at risk of developing breast cancer.
放射学技术仍然是乳腺癌早期检测的主要方法,对癌症获得良好的结果至关重要。然而,需要更敏感的检测方法来补充放射学技术,以增强早期检测和治疗策略。使用我们最近建立的培养方法,该方法允许腔上皮来源的正常和癌变乳腺上皮细胞的增殖、流式细胞术特征分析和基因组测序,我们表明可以在母乳中检测到癌细胞。源自癌症乳房的乳汁中的细胞富含 CD49f/EpCAM、CD44/CD24 和 CD271 癌症干细胞样细胞 (CSC)。这些 CSCs 在细胞质保留结构域内携带 HDAC6 的突变、MORF4L1 中的停止/获得插入以及 SWI/SNF 复合物成分 SMARCC2 内的缺失突变。CSCs 对 HDAC6 抑制剂、BET 溴结构域抑制剂和 EZH2 抑制剂敏感,因为已知 SWI/SNF 复合物成分中的突变会增加对这些药物的敏感性。在另外十个不被认为患有乳腺癌的女性的母乳衍生细胞中,有两个细胞富含 CSC 表型,并携带 NF1 或 KMT2D 的突变,这在乳腺癌中经常发生突变。携带 NF1 突变的乳腺衍生细胞还携带 CDKN2C、PTEN 和 REL 基因的拷贝数变异。这里描述的方法可以实现癌细胞的快速特征分析,包括驱动突变检测和治疗筛选,用于妊娠/产后乳腺癌。此外,该方法可以作为患有乳腺癌高风险妇女的监测或早期检测工具进行开发。意义:这些发现描述了如何利用一种简单的方法来描述妊娠和产后乳腺癌中的癌细胞,作为患有乳腺癌风险的妇女的监测工具。