Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, USA.
Inflammatory Breast Cancer Program, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Cells. 2023 Apr 4;12(7):1086. doi: 10.3390/cells12071086.
Identification of a unique genomic biomarker in de novo inflammatory breast cancer (IBC) may provide an insight into the biology of this aggressive disease. The goal of our study was to elucidate biomarkers associated with IBC. We examined breast biopsies collected from Dana-Farber Cancer Institute patients with IBC prior to initiating preoperative systemic treatment (30 samples were examined, of which 14 were eligible). Patients without available biopsies ( = 1), with insufficient tumor epithelial cells ( = 10), or insufficient DNA yield ( = 5) were excluded from the analysis. Molecular subtype and tumor grade were abstracted from a medical records' review. Ten IBC tumors were estrogen-receptor-positive (ER+) and human epidermal growth factor receptor 2 (HER2)-negative ( = 10 out of 14). Sufficient RNA and DNA were simultaneously extracted from 14 biopsy specimens using the Qiagen AllPrep Kit. RNA was amplified using the Sensation kit and profiled using the Affymetrix Human Transcriptome Array 2.0. DNA was profiled for genome-wide copy number variation (CNV) using the Affymetrix OncoScan Array and analyzed using the Nexus Chromosome Analysis Suite. Among the 14 eligible samples, we first confirmed biological concordance and quality control metrics using replicates and gene expression data. Second, we examined CNVs and gene expression change by IBC subtype. We identified significant CNVs in IBC patients after adjusting for multiple comparisons. Next, to assess whether the CNVs were unique to IBC, we compared the IBC CNV data to fresh-frozen non-IBC CNV data from The Cancer Genome Atlas ( = 388). On chromosome 7p11.2, we identified significant CN gain located at position 58,019,983-58,025,423 in 8 ER+ IBC samples compared to 338 non-IBC ER+ samples (region length: 5440 bp gain and 69,039 bp, False Discovery Rate (FDR) -value = 3.12 × 10) and at position 57,950,944-58,025,423 in 3 TN-IBC samples compared to 50 non-IBC TN samples (74,479 base pair, gain, FDR -value = 4.27 × 10; near the gene). We also observed significant CN loss on chromosome 21, located at position 9,648,315-9,764,385 (-value = 4.27 × 10). Secondarily, differential gene expression in IBC patients with 7p11.2 CN gain compared to SUM149 were explored after FDR correction for multiple testing (-value = 0.0016), but the results should be interpreted with caution due to the small sample size. Finally, the data presented are hypothesis-generating. Validation of CNVs that contribute to the unique presentation and biological features associated with IBC in larger datasets may lead to the optimization of treatment strategies.
在新发炎性乳腺癌(IBC)中鉴定独特的基因组生物标志物,可能有助于深入了解这种侵袭性疾病的生物学特性。本研究的目的是阐明与 IBC 相关的生物标志物。我们检查了在开始术前全身治疗之前从 Dana-Farber 癌症研究所的 IBC 患者采集的乳腺活检(检查了 30 个样本,其中 14 个符合条件)。没有可用活检的患者(= 1)、肿瘤上皮细胞不足(= 10)或 DNA 产量不足(= 5)的患者被排除在分析之外。分子亚型和肿瘤分级从病历回顾中提取。10 个 IBC 肿瘤为雌激素受体阳性(ER+)和人表皮生长因子受体 2(HER2)阴性(= 14 个中的 10 个)。使用 Qiagen AllPrep 试剂盒从 14 个活检标本中同时提取 RNA 和 DNA。使用 Sensation 试剂盒扩增 RNA,并使用 Affymetrix Human Transcriptome Array 2.0 进行分析。使用 Affymetrix OncoScan 阵列对 DNA 进行全基因组拷贝数变异(CNV)分析,并使用 Nexus Chromosome Analysis Suite 进行分析。在 14 个合格的样本中,我们首先使用重复样本和基因表达数据确认了生物学一致性和质量控制指标。其次,我们检查了 IBC 亚型的 CNV 和基因表达变化。在调整了多次比较后,我们鉴定了 IBC 患者中存在显著的 CNV。接下来,为了评估 CNV 是否是 IBC 所特有的,我们将 IBC 的 CNV 数据与来自癌症基因组图谱(TCGA)的新鲜冷冻非 IBC 的 CNV 数据进行了比较(= 388)。在 7p11.2 染色体上,我们在 8 个 ER+ IBC 样本中与 338 个非 IBC ER+样本相比,发现了位于 58019983-58025423 位置的显著 CN 增益(区域长度:5440bp 增益和 69039bp,假发现率(FDR)值= 3.12×10),在 3 个 TN-IBC 样本中与 50 个非 IBC TN 样本相比,发现了位于 57950944-58025423 位置的显著 CN 增益(74479 个碱基对,增益,FDR 值= 4.27×10;靠近基因)。我们还观察到 21 号染色体上存在显著的 CN 缺失,位于 9648315-9764385 位置(-值= 4.27×10)。其次,在经过 FDR 校正的多重检验(-值= 0.0016)后,探索了 IBC 患者中 7p11.2 CN 增益与 SUM149 相比的差异基因表达,但由于样本量小,结果应谨慎解释。最后,呈现的数据是产生假说的。在更大的数据集验证有助于 IBC 独特表现和生物学特征的 CNV,可能会导致治疗策略的优化。