Corvigno Sara, Wisman G Bea A, Mezheyeuski Artur, van der Zee Ate G J, Nijman Hans W, Åvall-Lundqvist Elisabeth, Östman Arne, Dahlstrand Hanna
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Department of Gynecologic Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Oncotarget. 2016 Apr 5;7(14):18573-84. doi: 10.18632/oncotarget.7613.
Inter- and intra-patient variations in tumor microenvironment of serous ovarian cancer are largely unexplored. We aimed to explore potential co-regulation of tumor stroma characteristics, analyze their concordance in primary and metastatic lesions, and study their impact on survival. A tissue microarray (TMA) with 186 tumors and 91 matched metastases was subjected to immunohistochemistry double staining with endothelial cell marker CD34 and fibroblast and pericyte markers α-SMA, PDGFβR and desmin. Images were digitally analyzed to yield "metrics" related to vasculature and stroma features. Intra-case analyses showed that PDGFβR in perivascular cells and fibroblasts were strongly correlated. Similar findings were observed concerning α-SMA. Most stroma characteristics showed large variations in intra-case comparisons of primary tumors and metastasis. Large PDGFβR-positive stroma fraction and high PDGFβFR positive perivascular intensity were both significantly associated with shorter survival in uni- and multi-variate analyses (HR 1.7, 95% CI 1.1-2.5; HR 1.7, 95% CI 1.1-2.8). In conclusion, we found PDGFβR- and α-SMA-expression to be largely independent of each other but concordantly activated in perivascular cells and in fibroblasts within the primary tumor. Stromal characteristics differed between primary tumors and metastases. PDGFβR in perivascular cells and in fibroblasts may be novel prognostic markers in serous ovarian cancer.
浆液性卵巢癌肿瘤微环境中的患者间和患者内差异在很大程度上尚未得到探索。我们旨在探讨肿瘤基质特征的潜在共同调节作用,分析它们在原发性和转移性病变中的一致性,并研究它们对生存的影响。对一个包含186个肿瘤和91个匹配转移灶的组织微阵列(TMA)进行免疫组织化学双重染色,使用内皮细胞标志物CD34以及成纤维细胞和周细胞标志物α-SMA、PDGFβR和结蛋白。对图像进行数字分析以产生与脉管系统和基质特征相关的“指标”。病例内分析表明,血管周围细胞和成纤维细胞中的PDGFβR高度相关。关于α-SMA也观察到类似的结果。在原发性肿瘤和转移灶的病例内比较中,大多数基质特征显示出很大差异。在单变量和多变量分析中,较大的PDGFβR阳性基质分数和较高的PDGFβFR阳性血管周围强度均与较短的生存期显著相关(风险比1.7,95%置信区间1.1 - 2.5;风险比1.7,95%置信区间1.1 - 2.8)。总之,我们发现PDGFβR和α-SMA的表达在很大程度上相互独立,但在原发性肿瘤内的血管周围细胞和成纤维细胞中同时被激活。原发性肿瘤和转移灶的基质特征有所不同。血管周围细胞和成纤维细胞中的PDGFβR可能是浆液性卵巢癌新的预后标志物。