Muralidharan Vijayaragavan, Nguyen Linh, Banting Jonathan, Christophi Christopher
Department of Surgery, The University of Melbourne and Austin Hospital, Lance Townsend Building Level 8, Studley Road, Heidelberg, Melbourne, VIC 3084, Australia.
HPB Surg. 2014;2014:954604. doi: 10.1155/2014/954604. Epub 2014 May 20.
Background. Colorectal Cancer (CRC) is the most common form of cancer diagnosed in Australia across both genders. Approximately, 40%-60% of patients with CRC develop metastasis, the liver being the most common site. Almost 70% of CRC mortality can be attributed to the development of liver metastasis. This study examines the pattern and density of lymphatics in colorectal liver metastases (CLM) as predictors of survival following hepatic resection for CLM. Methods. Patient tissue samples were obtained from the Victorian Cancer Biobank. Immunohistochemistry was used to examine the spatial differences in blood and lymphatic vessel densities between different regions within the tumor (CLM) and surrounding host tissue. Lymphatic vessel density (LVD) was assessed as a potential prognostic marker. Results. Patients with low lymphatic vessel density in the tumor centre, tumor periphery, and adjacent normal liver demonstrated a significant disease-free survival advantage compared to patients with high lymphatic vessel density (P = 0.01, P > 0.01, and P = 0.05, resp.). Lymphatic vessel density in the tumor centre and periphery and adjacent normal liver was an accurate predictive marker of disease-free survival (P = 0.05). Conclusion. Lymphatic vessel density in CLM appears to be an accurate predictor of recurrence and disease-free survival.
背景。结直肠癌(CRC)是澳大利亚两性中诊断出的最常见癌症形式。大约40%-60%的CRC患者会发生转移,肝脏是最常见的转移部位。几乎70%的CRC死亡率可归因于肝转移的发生。本研究检查了结直肠肝转移(CLM)中淋巴管的模式和密度,作为CLM肝切除术后生存的预测指标。方法。患者组织样本取自维多利亚癌症生物样本库。免疫组织化学用于检查肿瘤(CLM)内不同区域与周围宿主组织之间血管和淋巴管密度的空间差异。淋巴管密度(LVD)被评估为一种潜在的预后标志物。结果。与淋巴管密度高的患者相比,肿瘤中心、肿瘤周边和相邻正常肝脏中淋巴管密度低的患者显示出显著的无病生存优势(分别为P = 0.01、P > 0.01和P = 0.05)。肿瘤中心、周边和相邻正常肝脏的淋巴管密度是无病生存的准确预测标志物(P = 0.05)。结论。CLM中的淋巴管密度似乎是复发和无病生存的准确预测指标。