BreastCancer2025_COC_JT

Data extracted from the hospital-based cancer registry of Cameroon Oncology Center from January 1, 2020 to March 30, 2025. The dataset is specific for breast cancer. The main findings from this dataset are summarized in two abstracts: ABSTRACT 1 Background Breast cancer (BC) is the most frequent cancer in sub-Saharan Africa and the leading cause of all cancer-related deaths. Late presentation at advanced stage of disease is characteristic of low- and middle-income countries (LMICs). The presence and specific sites of metastatic disease affects treatment planning, response and prognosis. Given the genetic heterogeneity of metastatic breast cancer (mBC), this study aspired to determine the prevalence, determinants and tropism in a Central African setting. Methods Data was extracted from a prospectively collected hospital-based cancer registry at a specialized university-affiliated oncology center. Multivariable logistic regression modeling was used to determine the predictors of tumor spread whilst the pattern of spread was illustrated using a Sankey diagram. All statistical tests were two-tailed and the threshold for significance was set at 0.05. Results Data was extracted from the medical records of 271 patients with breast cancer. The sex-ratio was 1:270 and median age (range) 47 (16-91) years. A total of 148/271 (54.6%) BC occurred at the left breast (p<0.01). Invasive ductal carcinoma (IDC) accounted for 76.4% (204/267) of all histologic subtypes whilst triple negative breast cancer (TNBC) was the predominant molecular subtype (55.9%, 146/261). Tumor staging at baseline was as follows: stage I, 2.7% (17/271); stage II, 36.2% (98/271); stage III, 43.5% (118/271); stage IV, 14% (38/271). During follow-up there was imaging evidence of metastasis in 40.2% (109/271) of patients. mBC was independently associated to histologic (p=0.03) and molecular subtypes (p<0.01), with IDC and TNBC representing 83.9% (89/106) and 72.4 % (76/105) of all cases of metastases respectively. In the multivariable modeling patient’s age <42 years (aOR = 2.1, 95%CI: 1.1-4.1, p= 0.03) and TNBC (aOR = 2.4, 95%CI: 1.3- 4.5, p<0.01) were associated to mBC. Right breast cancers were more likely to spread to the lungs and liver (p<0.01). Conclusion TNBC is predominant in the study population and with young age are associated with mBC and thus poor outcomes. Strategies that improve the uptake of screening and facilitate access to quality care are likely to reduce BC disease burden in LMICs. Keywords: breast cancer, metastasis, tropism本数据集提取自喀麦隆肿瘤学中心基于医院的癌症登记系统，时间跨度为2020年1月1日至2025年3月30日，专门针对乳腺癌（Breast Cancer, BC）。本数据集的核心研究发现已整理为两篇摘要： 摘要1 背景 乳腺癌（BC）是亚撒哈拉非洲地区最常见的恶性肿瘤，亦是所有癌症相关死亡的首要病因。疾病晚期才就诊是中低收入国家（Low- and Middle-Income Countries, LMICs）的典型特征。转移性病灶的存在及其具体累及部位会影响治疗方案制定、治疗应答及预后。鉴于转移性乳腺癌（metastatic breast cancer, mBC）存在遗传异质性，本研究旨在明确中非地区转移性乳腺癌的患病率、影响因素及转移趋向性。 方法 数据提取自某大学附属专科肿瘤中心前瞻性收集的基于医院的癌症登记系统。本研究采用多变量logistic回归模型分析肿瘤转移的预测因素，并通过桑基图（Sankey diagram）展示肿瘤转移模式。所有统计学检验均采用双侧检验，显著性阈值设定为0.05。 结果 本研究共纳入271例乳腺癌患者的病历资料，性别比例为1:270（仅1例男性患者），患者年龄中位数（范围）为47（16~91）岁。其中148例（54.6%）乳腺癌原发于左侧乳腺（p<0.01）。浸润性导管癌（Invasive Ductal Carcinoma, IDC）占所有组织学亚型的76.4%（204/267），而三阴性乳腺癌（Triple Negative Breast Cancer, TNBC）是最主要的分子亚型（55.9%，146/261）。基线肿瘤分期情况如下：I期2.7%（17/271）、II期36.2%（98/271）、III期43.5%（118/271）、IV期14.0%（38/271）。随访期间，40.2%（109/271）的患者经影像学检查证实存在转移。转移性乳腺癌（mBC）与组织学亚型（p=0.03）及分子亚型（p<0.01）独立相关，其中IDC和TNBC分别占所有转移病例的83.9%（89/106）和72.4%（76/105）。多变量回归分析显示，年龄<42岁（校正优势比[aOR]=2.1，95%置信区间[CI]：1.1~4.1，p=0.03）及TNBC（aOR=2.4，95%CI：1.3~4.5，p<0.01）与转移性乳腺癌（mBC）显著相关。右侧乳腺原发癌更易发生肺和肝脏转移（p<0.01）。 结论 本研究人群中三阴性乳腺癌（TNBC）占比最高，且年轻患者与转移性乳腺癌（mBC）及不良预后相关。提升筛查普及率、优化优质医疗服务可及性的策略，有望降低中低收入国家（LMICs）的乳腺癌疾病负担。 关键词：乳腺癌、转移、转移趋向性