Fortunato Angelo, Mallo Diego, Cisneros Luis, King Lorraine M, Khan Aziz, Curtis Christina, Ryser Marc D, Lo Joseph Y, Hall Allison, Marks Jeffrey R, Hwang E Shelley, Maley Carlo C
Arizona Cancer Evolution Center and Biodesign Center for Biocomputing, Security and Society, Arizona State University, 727 E. Tyler St., Tempe, AZ, 85281, USA.
School of Life Sciences, Arizona State University, 427 East Tyler Mall, Tempe, AZ, 85287, USA.
Breast Cancer Res. 2025 Mar 21;27(1):43. doi: 10.1186/s13058-025-01966-2.
Progression from pre-cancers like ductal carcinoma in situ (DCIS) to invasive disease (cancer) is driven by somatic evolution and is altered by clinical interventions. We hypothesized that genetic and/or phenotypic intra-tumor heterogeneity would predict clinical outcomes for DCIS since it serves as the substrate for natural selection among cells.
We profiled two samples from two geographically distinct foci from each DCIS in both cross-sectional (n = 119) and longitudinal cohorts (n = 224), with whole exome sequencing, low-pass whole genome sequencing, and a panel of immunohistochemical markers.
In the longitudinal cohorts, the only statistically significant associations with time to non-invasive DCIS recurrence were the combination of treatment (lumpectomy only vs mastectomy or lumpectomy with radiation, HR 12.13, p = 0.003, Wald test with FDR correction), ER status (HR 0.16 for ER+ compared to ER-, p = 0.0045), and divergence in SNVs between the two samples (HR 1.33 per 10% divergence, p = 0.018). SNV divergence also distinguished between pure DCIS and DCIS synchronous with invasive disease in the cross-sectional cohort. In contrast, the only statistically significant associations with time to progression to invasive disease were the combination of the width of the surgical margin (HR 0.67 per mm, p = 0.043) and the number of mutations that were detectable at high allele frequencies (HR 1.30 per 10 SNVs, p = 0.02). No predictors were significantly associated with both DCIS recurrence and progression to invasive disease, suggesting that the evolutionary scenarios that lead to these clinical outcomes are markedly different.
These results imply that recurrence with DCIS is a clinical and biological process different from invasive progression.
从导管原位癌(DCIS)等癌前病变进展为浸润性疾病(癌症)是由体细胞进化驱动的,并会因临床干预而改变。我们假设肿瘤内的遗传和/或表型异质性可预测DCIS的临床结局,因为它是细胞间自然选择的基础。
我们在横断面队列(n = 119)和纵向队列(n = 224)中,对每个DCIS的两个地理上不同病灶的两个样本进行了全外显子组测序、低深度全基因组测序以及一组免疫组化标记物检测。
在纵向队列中,与非浸润性DCIS复发时间唯一具有统计学显著关联的因素是治疗方式的组合(单纯乳房切除术与乳房切除术或乳房切除术后放疗,HR = 12.13,p = 0.003,经FDR校正的Wald检验)、雌激素受体(ER)状态(ER + 与ER - 相比,HR = 0.16,p = 0.0045)以及两个样本之间单核苷酸变异(SNV)的差异(每10%差异的HR = 1.33,p = 0.018)。在横断面队列中,SNV差异也区分了单纯DCIS和与浸润性疾病同步的DCIS。相比之下,与进展为浸润性疾病时间唯一具有统计学显著关联的因素是手术切缘宽度(每毫米HR = 0.67,p = 0.043)以及在高等位基因频率下可检测到的突变数量(每10个SNV的HR = 1.30,p = 0.02)。没有预测因素与DCIS复发和进展为浸润性疾病均显著相关,这表明导致这些临床结局的进化过程明显不同。
这些结果表明,DCIS复发是一个与浸润性进展不同的临床和生物学过程。