Li Z, Kang D, Xu S, Xi G, Li L, Zheng L, Guo W, Fu F, Wang C, Ma J, Han X, Xu S, Chen J, Chen J
Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.
Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China.
ESMO Open. 2024 Dec;9(12):103990. doi: 10.1016/j.esmoop.2024.103990. Epub 2024 Nov 21.
Tumor-associated collagen signature (TACS) is an independent prognostic factor for breast cancer. However, it is unclear whether the complete collagen signature, including TACS, the TACS-based collagen microscopic features (TCMF1), and the TACS-based nuclear features (TCMF2), can provide additional prognostic information for the current tumor-node-metastasis (TNM) staging system.
We included 941 patients with breast cancer from three cohorts: the training (n = 355), internal (n = 334), and external validation cohorts (n = 252). TACS and TCMF1 were obtained by multiphoton microscopy (MPM). TCMF2 was extracted on the hematoxylin and eosin images colocated with MPM images. They were linearly combined to establish a complete collagen signature score for reclassifying current TNM staging into stage Ⅰ (II and Ⅲ)/low risk and stage Ⅰ (II and Ⅲ)/high risk.
The low-risk collagen signatures 'downstaged' patients in stage II or Ⅲ, while the high-risk collagen signatures 'upstaged' patients with stage Ⅰ tumors. After incorporating the complete collagen signature into the current TNM staging system, the modified staging system had a higher ability to stratify patients [referent, Ⅰ-new; Ⅱ-new, hazard ratio (HR) 8.655, 6.136, and 4.699 in the training, internal validation, and external validation cohorts, respectively; Ⅲ-new, HR 14.855, 11.201, and 13.245 in the corresponding three cohorts, respectively] than the current TNM staging system (referent, Ⅰ; Ⅱ, HR 1.642, 1.853, and 1.371 in the corresponding three cohorts, respectively; Ⅲ, HR 4.131, 4.283, and 3.711 in the corresponding three cohorts, respectively). Furthermore, the modified staging system showed a higher area under the curve than the current TNM staging system (training cohort: 0.843 versus 0.683; internal validation cohort: 0.792 versus 0.661; and external validation cohort: 0.793 versus 0.646).
The complete collagen signature is an independent predictor of survival outcomes in breast cancer. It adds significant information about the biological behavior of the disease to staging for breast cancer.
肿瘤相关胶原特征(TACS)是乳腺癌的一个独立预后因素。然而,尚不清楚完整的胶原特征,包括TACS、基于TACS的胶原微观特征(TCMF1)和基于TACS的核特征(TCMF2),是否能为当前的肿瘤-淋巴结-转移(TNM)分期系统提供额外的预后信息。
我们纳入了来自三个队列的941例乳腺癌患者:训练队列(n = 355)、内部队列(n = 334)和外部验证队列(n = 252)。通过多光子显微镜(MPM)获得TACS和TCMF1。在与MPM图像同位置的苏木精和伊红图像上提取TCMF2。将它们线性组合以建立一个完整的胶原特征评分,用于将当前的TNM分期重新分类为Ⅰ期(Ⅱ期和Ⅲ期)/低风险和Ⅰ期(Ⅱ期和Ⅲ期)/高风险。
低风险胶原特征使Ⅱ期或Ⅲ期患者“降期”,而高风险胶原特征使Ⅰ期肿瘤患者“升期”。将完整的胶原特征纳入当前的TNM分期系统后,改良分期系统对患者进行分层的能力高于当前的TNM分期系统(参照组,Ⅰ期-新分期;Ⅱ期-新分期,训练队列、内部验证队列和外部验证队列中的风险比[HR]分别为8.655、6.136和4.699;Ⅲ期-新分期,相应三个队列中的HR分别为14.855、11.201和13.245)(参照组,Ⅰ期;Ⅱ期,相应三个队列中的HR分别为1.642、1.853和1.371;Ⅲ期,相应三个队列中的HR分别为4.131、4.283和3.711)。此外,改良分期系统的曲线下面积高于当前的TNM分期系统(训练队列:0.843对0.683;内部验证队列:0.792对0.661;外部验证队列:0.793对0.646)。
完整的胶原特征是乳腺癌生存结局的独立预测指标。它为乳腺癌分期增加了有关疾病生物学行为的重要信息。