Watanabe Gou, Ishida Takanori, Furuta Akihiko, Takahashi Shin, Watanabe Mika, Nakata Hideaki, Kato Shunsuke, Ishioka Chikashi, Ohuchi Noriaki
*Division of surgical Oncology, Tohoku University School of Medicine ‡Department of Clinical Oncology, Research Institute of Development, Aging and Cancer, Tohoku University §Department of Pathology, Tohoku University Hospital, Sendai †Department of Breast Cancer Surgery, Ishinomaki Red Cross Hospital, Miyagi ∥Center for Kampo Medicine, Nerima General Hospital ¶Division of medical oncology, Juntendo University Hospital, Tokyo, Japan.
Am J Surg Pathol. 2015 Aug;39(8):1026-34. doi: 10.1097/PAS.0000000000000386.
It is difficult to predict the TP53 status by p53 immunohistochemistry (IHC). We aimed to improve the accuracy of p53 IHC with p53-regulated proteins for predicting the TP53 mutation status. TP53 mutations were detected in 19 of 38 breast cancer patients (50%). Five of 7 cases of protein-truncating mutation of TP53 were completely negative for p53 IHC, whereas 11 of 12 cases of TP53 point mutation were strongly positive for p53 IHC. Therefore, to avoid false negatives, we extracted p53-dependent universally downregulated genes using microarray analysis from 38 breast cancer patients and 2 p53-inducible cell lines. From 9 commonly repressed genes, we evaluated 3 genes, baculoviral IAP repeat-containing 5 (BIRC5), polo-like kinase 1 (PLK1), and BUB1 mitotic checkpoint serine/threonine kinase (BUB1), which were previously identified as p53-dependent repressed genes. PLK1≥Allred total score (TS) 5 showed the highest correlation with TP53 mutation. To decrease false positivity, we evaluated p21 IHC. Although strong staining of p21 was observed in 4 cases (10.5%), all 4 were wild-type TP53. Thus, p53 mutation-like (p53mt-like) IHC was identified by p53 TS7,8 with PLK1≥TS 5 and p21 TS≤6. p53 mt-like IHC correlated with TP53 mutation (predictive value=0.94). In other 157 breast cancer cases, p53 mt-like was an independent prognostic marker in multivariate analysis and a strong prognostic factor. Stratification with p53 mt-like IHC identified patients with a poorer prognosis. In conclusion, we identified reliable IHC conditions to predict the TP53 status of breast cancer patients.
通过p53免疫组化(IHC)来预测TP53状态是困难的。我们旨在通过p53调控蛋白提高p53 IHC预测TP53突变状态的准确性。38例乳腺癌患者中有19例(50%)检测到TP53突变。TP53蛋白截短突变的7例病例中有5例p53 IHC完全阴性,而TP53点突变的12例病例中有11例p53 IHC强阳性。因此,为避免假阴性,我们利用微阵列分析从38例乳腺癌患者和2种p53诱导细胞系中提取p53依赖的普遍下调基因。从9个共同抑制的基因中,我们评估了3个基因,即含杆状病毒IAP重复序列5(BIRC5)、波罗样激酶1(PLK1)和BUB1有丝分裂检查点丝氨酸/苏氨酸激酶(BUB1),它们先前被确定为p53依赖的抑制基因。PLK1≥奥尔雷德总分(TS)5与TP53突变的相关性最高。为降低假阳性,我们评估了p21 IHC。虽然4例(10.5%)观察到p21强染色,但这4例均为TP53野生型。因此,通过p53 TS7,8、PLK1≥TS 5和p21 TS≤6确定了p53突变样(p53mt样)IHC。p53 mt样IHC与TP53突变相关(预测值=0.94)。在其他157例乳腺癌病例中,p53 mt样在多变量分析中是独立的预后标志物,也是一个强预后因素。用p53 mt样IHC进行分层可识别出预后较差的患者。总之,我们确定了可靠的IHC条件来预测乳腺癌患者的TP53状态。