Peter MacCallum Cancer Centre, 305 Grattan St, Melbourne, 3000, Australia.
The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, 3010, Australia.
Breast Cancer Res. 2024 Jul 8;26(1):115. doi: 10.1186/s13058-024-01857-y.
Various histopathological, clinical and imaging parameters have been evaluated to identify a subset of women diagnosed with lesions with uncertain malignant potential (B3 or BIRADS 3/4A lesions) who could safely be observed rather than being treated with surgical excision, with little impact on clinical practice. The primary reason for surgery is to rule out an upgrade to either ductal carcinoma in situ or invasive breast cancer, which occurs in up to 30% of patients. We hypothesised that the stromal immune microenvironment could indicate the presence of carcinoma associated with a ductal B3 lesion and that this could be detected in biopsies by counting lymphocytes as a predictive biomarker for upgrade. A higher number of lymphocytes in the surrounding specialised stroma was observed in upgraded ductal and papillary B3 lesions than non-upgraded (p < 0.01, negative binomial model, n = 307). We developed a model using lymphocytes combined with age and the type of lesion, which was predictive of upgrade with an area under the curve of 0.82 [95% confidence interval 0.77-0.87]. The model can identify some patients at risk of upgrade with high sensitivity, but with limited specificity. Assessing the tumour microenvironment including stromal lymphocytes may contribute to reducing unnecessary surgeries in the clinic, but additional predictive features are needed.
已经评估了各种组织病理学、临床和影像学参数,以确定一组被诊断为具有不确定恶性潜能的病变(B3 或 BIRADS 3/4A 病变)的女性,可以安全地进行观察,而不是通过手术切除进行治疗,这对临床实践几乎没有影响。手术的主要原因是排除导管原位癌或浸润性乳腺癌的升级,这种情况在多达 30%的患者中发生。我们假设基质免疫微环境可以指示与导管 B3 病变相关的癌的存在,并且可以通过计数淋巴细胞作为升级的预测生物标志物在活检中检测到。与未升级的(p < 0.01,负二项式模型,n = 307)相比,升级的导管和乳头状 B3 病变周围的特殊基质中存在更多的淋巴细胞(p < 0.01,负二项式模型,n = 307)。我们使用淋巴细胞结合年龄和病变类型开发了一个预测升级的模型,曲线下面积为 0.82 [95%置信区间 0.77-0.87]。该模型可以以高灵敏度识别出一些有升级风险的患者,但特异性有限。评估包括间质淋巴细胞在内的肿瘤微环境可能有助于减少临床中的不必要手术,但需要额外的预测特征。