新型驱动基因融合阳性非小细胞肺癌脑转移的研究进展北大核心

肺癌是我国最常见且死亡率最高的恶性肿瘤之一,随着表皮生长因子受体(EGFR)、间变性淋巴瘤激酶(ALK)及活性氧1(ROS1)等驱动基因及其相应分子靶向药物的出现,晚期非小细胞肺癌的治疗和预后发生了革命性变化。此外,一些少见新型驱动基因融合,包括神经调节蛋白1(NRG1)、神经营养酪氨酸受体激酶(NTRK)和转染重排因子(RET),正逐渐发展成为全身性治疗选择。然而,这些罕见新型融合驱动基因在NSCLC脑转移中的作用机制,以及优化控制和预防脑转移的意义人们所知甚少。因此,本文就近几年罕见驱动基因融合在NSCLC脑转移中的研究进行综述。     

肝癌术后槐耳颗粒防治肿瘤复发转移的效果研究

目的探究槐耳颗粒对肝癌根治术后复发转移的影响。方法114例行肝癌根治术患者,按治疗方法不同分为对照组(54例)和观察组(60例)。对照组行常规治疗,观察组行常规+槐耳颗粒治疗。对比两组生存及肿瘤复发转移情况、血管内皮细胞生长因子(VEGF)、血清甲胎蛋白(AFP)、总胆红素(TB)、丙氨酸转氨酶(ALT)、生活质量改善情况。结果观察组存活率90.00%高于对照组的75.93%,复发转移率8.33%低于对照组的25.93%,差异有统计学意义(P<0.05)。治疗后,观察组VEGF(413.54±21.05)pg/ml、AFP(356.32±25.36)μg/L均低于对照组的(486.53±20.43)pg/ml、(415.69±21.32)μg/L,差异有统计学意义(P<0.05)。治疗后,观察组TB(18.63±1.34)μmol/L、ALT(52.78±5.32)U/L低于对照组的(21.66±1.25)μmol/L、(56.23±5.63)U/L,差异有统计学意义(P<0.05)。观察组患者生活质量改善情况优于对照组,差异有统计学意义(P<0.05)。结论槐耳颗粒在防治肝癌术后肿瘤复发转移方面具有明显效果,推荐使用。     

FTO promotes multiple myeloma progression by posttranscriptional activation of HSF1 in an m6A-YTHDF2-dependent manner

1. Download : Download high-res image (125KB)
2. Download : Download full-size image

     

Clinicopathologic factors and preoperative ultrasonographic characteristics for predicting central lymph node metastasis in papillary thyroid microcarcinoma: a single center retrospective study

IntroductionThe treatment of papillary thyroid microcarcinoma remains controversial. Central lymph node metastasis is common in papillary thyroid microcarcinoma and it is an important consideration in treatment strategy selection.ObjectiveThe aim of this study was to investigate clinicopathologic risk factors and thyroid nodule sonographic characteristics for central lymph node metastasis in papillary thyroid microcarcinoma.MethodsWe retrospectively reviewed the data of 599 papillary thyroid microcarcinoma patients who underwent surgery from 2005 to 2017 at a single institution. Univariate and multivariate analyses were used to identify the clinicopathologic factors and preoperative sonographic features of central lymph node metastasis. A receiver-operating characteristic, ROC curve analysis, was performed to identify the efficacy of ultrasonographic features in predicting central lymph node metastasis. A nomogram based on the risk factors was established to predict central lymph node metastasis.ResultsThe incidence of central lymph node metastasis was 22.4%. The univariate and multivariate analyses suggested that gender, age, multifocality, extrathyroidal invasion, and lateral lymph node metastasis were independent risk factors for central lymph node metastasis. The univariate and multivariate analyses revealed that nodular shape, margin, and calcification were independently associated with central lymph node metastasis. The ROC curve analysis revealed that the combination of shape, margin and calcification had excellent accuracy in predicting central lymph node metastasis. The nomogram was developed based on the identified risk factors for predicting central lymph node metastasis, and the calibration plot analysis indicated the good performance and clinical utility of the nomogram.ConclusionsCentral lymph node metastasis is associated with male gender, younger age (<45 years), extrathyroidal invasion, multifocality and lateral lymph node metastasis in papillary thyroid microcarcinoma patients. The ultrasongraphic features, such as irregular shape, ill-defined margin and calcification, may improve the efficacy of predicting central lymph node metastasis. Surgeons and radiologists should pay close attention to the patients who have these risk factors. The nomogram may help guide surgical decision making in papillary thyroid microcarcinoma.     

Immune microenvironment of hepatocellular carcinoma,intrahepatic cholangiocarcinoma and liver metastasis of colorectal adenocarcinoma: Relationship with histopathological and molecular classifications

Tumor tissue is composed of tumor cells and tumor stroma. Tumor stroma contains various immune cells and non-immune stromal cells, forming a complex tumor microenvironment which plays pivotal roles in regulating tumor growth. Recent successes in immunotherapies against tumors, including immune checkpoint inhibitors, have further raised interests in the immune microenvironment of liver carcinoma. The immune microenvironment of tumors is formed because of interactions among tumor cells, immune cells and non-immune stromal cells, including fibroblasts and endothelial cells. Different patterns of immune microenvironment are observed among different tumor subtypes, and their clinicopathological significance and intertumor/intratumor heterogeneity are being intensively studied. Here, we review the immune microenvironment of hepatocellular carcinoma, intrahepatic cholangiocarcinoma and liver metastasis of colorectal adenocarcinoma, focusing on its histopathological appearance, clinicopathological significance, and relationship with histological and molecular classifications. Understanding the comprehensive histopathological picture of a tumor immune microenvironment, in addition to molecular and genetic approaches, will further potentiate the effort for precision medicine in the era of tumor-targeting immunotherapy.     

脑转移瘤影像组学研究进展

脑转移瘤是成人最常见的颅内肿瘤,发病率呈上升趋势。影像组学可对医学影像进行定量分析处理来指导临床实践。近年来,基于CT、MRI的影像组学逐渐应用于脑转移瘤的精准诊疗,如肿瘤精准检测和分割、与其他脑肿瘤的鉴别诊断、原发肿瘤的判别、疗效评价及预后预测等。本文就脑转移瘤影像组学研究现状予以综述。     

Relation Between Tumor Size and Lymph Node Metastasis According to Subtypes of Breast Cancer

PurposeTumor size and lymph node metastasis are important factors that contribute to the progression of breast cancer. We aimed to analyze the relationship between tumor size and lymph node metastasis molecular subtype and examine the effects of nodal metastasis on overall survival (OS).MethodsWe retrospectively reviewed the data of 16,552 patients who underwent breast surgery in Samsung Medical Center between 2000 and 2015. Information on tumor size (largest diameter of the invasive component), number of positive lymph nodes, and molecular subtype were obtained. We constructed a linear regression model to evaluate the relationship between tumor size and lymph node metastasis. To determine the effect of nodal metastasis on OS, we performed a Cox proportional regression analysis with Np/T (number of metastatic lymph nodes [n]/tumor size [cm]).ResultsThis study included 12,007 patients with a median follow-up of 62 months. The linear regression coefficients were 1.043 for luminal A, 1.024 for luminal B, 0.656 for HER2, and 0.435 for triple-negative breast cancer (TNBC) subtypes. No significant difference was observed in the coefficients between the luminal A and B subtypes (p = 0.797), while all other coefficients showed significant difference. After adjusting for other risk factors, the hazard ratio (HR) of Np/T for each subtype was significant for OS: luminal A (HR, 1.134; 95% confidence interval [CI], 1.097–1.171; p < 0.001), luminal B (HR, 1.049; 95% CI, 1.013–1.086; p = 0.007), HER2 (HR, 1.069; 95% CI, 1.014–1.126; p = 0.013), and TNBC (HR, 1.038; 95% CI, 1.01–1.067; p = 0.008).ConclusionThe incidence of lymph node metastasis differed according to molecular subtype. Luminal types have higher incidence of nodal metastasis than HER2 and TNBC. The HR of Np/T was highest in luminal A subtypes and lowest in TNBC subtypes.     

胃癌腹膜转移病人腹腔化疗港并发症发生及危险因素分析

目的:分析腹腔化疗港并发症发生及相关危险因素。方法:回顾性分析我院323例放置腹腔化疗港病人的临床资料,纳入261例胃癌腹膜转移病人。分析腹腔化疗港在胃癌腹膜转移病人腹腔化疗时发生的并发症及其危险因素。结果:261例中59例(22.6%)发生化疗港相关并发症。其中,皮下积液(25例,42.4%)和化疗港感染(16例,27.1%)是发生较多的并发症。其他是港体倾斜翻转(9例,15.3%),化疗港局部切口裂开(7例,11.9%),导管堵塞(1例,1.7%),和皮下转移(1例,1.7%)。化疗港并发症发生的中位时间为化疗港放置后3.0个月。结合Clavien-Dindo分级方法,将化疗港发生的并发症分为1~4个等级。ECOG评分、血清白蛋白水平、置港流程优化及专业团队放置为化疗港并发症发生的独立危险因素(P<0.05)。ECOG评分为唯一影响并发症分级的关联因素(P<0.05)。结论:腹腔化疗港在胃癌腹膜转移病人腹腔化疗中的应用安全可行,发生并发症可控。ECOG评分、血清白蛋白水平、置港方式是否优化及是否专业团队放置为化疗港并发症发生的独立危险因素。     

基于CT图像的评分模型预测食管鳞癌喉返神经旁淋巴结转移风险

目的:基于原发肿瘤及淋巴结CT特征建立评分模型预测食管鳞癌患者喉返神经旁淋巴结(RLN-LN)转移风险。方法:回顾性收集2014年1月至2019年12月于北京大学肿瘤医院行食管癌根治术并清扫RLN-LN的92例食管鳞癌患者。根据术后淋巴结病理结果分为RLN-LN转移组(n=37)和非转移组(n=55)。评估术前CT图像,记录食管癌患者年龄、性别、分化程度、肿瘤位置、肿瘤大小(肿瘤长度、肿瘤厚度、厚度/长度)、RLN-LN大小(淋巴结短径、长径、短径/多平面重建(MPR)最长径]。采用多元logistic回归筛选独立预测因子并建立评分模型,采用ROC曲线评估评分模型及独立预测因子诊断RLN-LN转移的效能,采用Z检验比较曲线下面积(AUC)的差异。应用Hosmer-Lemeshow检验和校准曲线评估模型拟合度。结果:肿瘤位置、肿瘤长度、RLN-LN短径、短径/MPR最长径是RLN-LN转移的独立预测因子,其诊断RLN-LN转移的AUC分别为0.586、0.705、0.831、0.777。基于以上4个CT特征建立评分模型,评分模型诊断RLN-LN转移的AUC为0.903(95%CI 0.846~0.959),优于各单一CT特征(Z=5.812,P<0.001;Z=2.161,P=0.030;Z=2.929,P=0.003;Z=4.052,P<0.001)。拟合优度Hosmer-Lemeshow检验结果显示P=0.555,校准曲线提示评分模型预测RLN-LN转移风险与实际转移风险之间具有良好的一致性。结论:基于CT图像的评分模型有助于食管鳞癌RLN-LN转移状态危险分层。