食管癌高、低发区食管鳞癌患者生存及其影响因素分析

目的 探讨食管癌高、低发区食管鳞癌患者的生存状况及其影响因素。方法 收集38 741例经病理学证实为食管鳞癌患者的资料，其中，高发区患者23 273例（60.1%），低发区15 468例（39.9%）。所有患者均行食管癌根治术。运用卡方检验分析不同临床病理特征患者的组间差异，Kaplan-Meier法绘制不同临床病理特征患者的生存曲线并用Log rank进行检验。多因素Cox比例风险回归模型法分析影响生存的主要因素。结果 低发区男性患者所占比例高于高发区（P<0.001），低发区诊断年龄≥50岁食管癌患者所占比例高于高发区（P<0.001）。高发区食管鳞癌患者的整体生存优于低发区患者（P<0.001）。Cox比例风险回归模型综合分析结果表明：高低发区、性别、确诊年龄、肿瘤部位、分化程度、TNM分期和肿瘤家族史均是影响食管鳞癌患者生存的独立因素。结论 高发区食管鳞癌患者整体生存优于低发区；低发区是食管鳞癌患者预后差的独立危险因素。     

Radiomics model based on preoperative gadoxetic acid-enhanced MRI for predicting liver failure

BACKGROUND Postoperative liver failure is the most severe complication in cirrhotic patients with hepatocellular carcinoma(HCC) after major hepatectomy. Current available clinical indexes predicting postoperative residual liver function are not sufficiently accurate.AIM To determine a radiomics model based on preoperative gadoxetic acid-enhanced magnetic resonance imaging for predicting liver failure in cirrhotic patients with HCC after major hepatectomy.METHODS For this retrospective study, a radiomics-based model was developed based on preoperative hepatobiliary phase gadoxetic acid-enhanced magnetic resonance images in 101 patients with HCC between June 2012 and June 2018. Sixty-one radiomic features were extracted from hepatobiliary phase images and selected by the least absolute shrinkage and selection operator method to construct a radiomics signature. A clinical prediction model, and radiomics-based model incorporating significant clinical indexes and radiomics signature were built using multivariable logistic regression analysis. The integrated radiomics-based model was presented as a radiomics nomogram. The performances of clinical prediction model, radiomics signature, and radiomics-based model for predicting post-operative liver failure were determined using receiver operating characteristics curve, calibration curve, and decision curve analyses.RESULTS Five radiomics features from hepatobiliary phase images were selected to construct the radiomics signature. The clinical prediction model, radiomics signature, and radiomics-based model incorporating indocyanine green clearance rate at 15 min and radiomics signature showed favorable performance for predicting postoperative liver failure(area under the curve: 0.809-0.894). The radiomics-based model achieved the highest performance for predicting liver failure(area under the curve: 0.894; 95%CI: 0.823-0.964). The integrated discrimination improvement analysis showed a significant improvement in the accuracy of liver failure prediction when radiomics signature was added to the clinical prediction model(integrated discrimination improvement = 0.117, P =0.002). The calibration curve and an insignificant Hosmer-Lemeshow test statistic(P = 0.841) demonstrated good calibration of the radiomics-based model. The decision curve analysis showed that patients would benefit more from a radiomics-based prediction model than from a clinical prediction model and radiomics signature alone.CONCLUSION A radiomics-based model of preoperative gadoxetic acid–enhanced MRI can be used to predict liver failure in cirrhotic patients with HCC after major hepatectomy.     

<i>Sinomenium</i> Inhibits the Viability of Hepatoma Carcinoma Cells through Activating IFNA2

Hepatocellular carcinoma (HCC) ranks the sixth place of most common cancers. Meanwhile, it is the tertiary mortality cause of cancer. There is no effective therapeutic method to prevent and treat the liver cancer. Sinomenine is a kind of Chinese traditional medicine herbal, it is reported that it can inhibit the viability of several cancer cells. The study is to explore whether sinomenine is also able to inhibit the cell viability of HCC and its potential mechanism. The IC50 of sinomenine in BEL-7402 cells was 5.351 mmol/L, and the IC50 of sinomenine in SMMC-7721 cells was 6.204 mmol/L. The gene expression results showed the relative expression of FGF2, CCND2, DCN, F3, MMP7, NRG1, HMGB1, TRIM29, HAS2, EHF, CTGF, PLK2 were down-regulated, and the relative expression of VEGF A, CITED2, NUPR1, DDX58, IRF9, NAMPT, MMP1, NDRG1, HMGA2, PPARGC1A, IFIT2, PARP9, HEY1, LOX, ETV1, ISG15, BACH, CYLD were up-regulated. Moreover, the IPA analysis results suggested that IFIT3, IFIT1, OAS1, MX1, IRF9, IFI6, IFITM1, ISG15 were up-regulated in BEL-7402 cells treated with sinomenine by activating IFNA2. The findings presented in this study may provide a promising method for the prevention and treatment of liver cancer.     

肝癌组织LncRNA TINCR表达水平对术后长期生存的影响

目的 探讨肝癌组织中LncRNA TINCR 表达水平对术后长期生存的影响。方法 回顾性分析2013 年4 月～2016 年2 月间在本院接受手术治疗的157 例肝细胞肝癌患者的临床资料。RT-PCR 法检测肝癌标本内LncRNA TINCR 表达水平，采用ROC 曲线和Kaplan-Meier 法分析LncRNA TINCR 表达水平对肝癌术后长期生存的影响。结果 肝癌组织LncRNA TINCR 表达水平对术后长期生存预测的曲线下面积（AUC）为0.812，特异度为73.77%，灵敏度为79.17%，最佳判读值为1.89（P＜0.0001）。根据ROC 曲线分析结果，将肝癌组织LncRNA TINCR 相对表达水平大于1.89 的93 例（59.24%）患者纳入高表达组，而肝癌组织LncRNA TINCR 相对表达水平小于或等于1.89的64 例（40.76%）患者纳入低表达组。Kaplan－Meier 法生存分析发现高表达组术后3 年内有76 例患者死亡，3 年总生存率为18.28%（17/93）；低表达组术后3 年内有20 例患者死亡，3 年总生存率为68.75%（44/64），低表达组3 年总生存率明显优于高表达组（P＜0.0001，两组间死亡风险比为3.7534，95%可信区间为2.5158～5.6000）。结论 肝癌组织LncRNA TINCR 表达水平与肝癌术后长期生存显著相关，LncRNA TINCR 表达水平升高则预示着预后不佳。     

Papillary thyroid carcinoma with a high tumor mutation burden has a poor prognosis

BackgroundTumor mutation burden (TMB) as a prognostic marker for immunotherapy has shown prognostic value in many cancers. However, there is no systematic investigation on TMB in papillary thyroid carcinoma (PTC).MethodsBased on the somatic mutation data of 487 PTC patients from The Cancer Genome Atlas (TCGA), TMB was calculated, and we classified the samples into high-TMB (H-TMB) and low-TMB (L-TMB) groups. Bioinformatics methods were used to explore the characteristics and potential mechanism of TMB in PTC.ResultsHigh TMB predicts shorter progression-free survival (PFS) (P < 0.001). TMB was positively correlated with age, stage, tumor size, metastasis, the male sex and tall cell PTC. Compared to the L-TMB group, the H-TMB group presented with lower immune cell infiltration, a higher proportion of tumor-promoting immune cells (M0 macrophages, activated dendritic cells and monocytes) and a lower proportion of antitumor immune cells (M1 macrophages, CD8⁺ T cells and B cells). Additionally, the characteristics displayed by different TMB groups were not driven by critical driver mutations such as BRAF and RAS.ConclusionsPTC patients with high TMB have a worse prognosis. By stratifying PTC patients according to their TMB, advanced PTC patients who are candidates for immunotherapy could be selected.     

接受选择性淋巴结照射的食管鳞癌患者预后和失败模式的分析

目的探讨接受选择性淋巴结照射(ENI)的食管鳞癌患者预后和失败模式。方法回顾性分析2005年1月至2012年12月河北医科大学第四医院收治的179例符合入组条件的食管鳞癌患者,分析肿瘤局部相关因素预测患者预后的价值,分析影响患者近期疗效、预后的影响因素,并对影响患者总生存率(OS)、无进展生存率(PFS)和复发的指标分别进行单因素和多因素分析。结果全组患者1、3、5年OS和PFS分别为77.1%、40.1%、26.0%和62.6%、30.6%、20.3%。多因素分析结果显示声音嘶哑、cN分期、cTNM分期、GTV-横径(GTV-D)和GTV-体积/长度(GTV-V/L)为影响患者OS的独立性影响因素(P<0.05);声音嘶哑、cTNM分期和近期疗效为影响患者PFS的独立性影响因素(P<0.05)。全组有75例(41.9%)患者出现复发,61例(34.1%)远处转移,其中19例(10.6%)为合并复发和远处转移。75例复发患者中64例(85.3%)患者为单纯食管复发,4例(5.3%)为单纯淋巴结复发,另7例(9.3%)患者为食管合并淋巴结复发。治疗后达完全缓解(CR)的63例患者中有18例患者出现复发,其中仅有2例患者出现淋巴结复发;logistic多因素分析结果显示患者周边组织/器官受侵、GTV-D和近期疗效为影响患者复发的独立性影响因素(P<0.05)。结论食管鳞癌患者接受ENI确实可行,其失败主要模式仍为食管复发;治疗前声音嘶哑、GTV-D和GTV-V/L较大、临床分期较晚和近期疗效不佳为患者预后较差的指标;肿瘤周边组织受侵、GTV-D和近期疗效是影响患者失败的独立性因素。