miRNA141表达的调控对人前列腺癌DU145细胞恶性生物行为的影响

目的：研究microRNA-141（miR-141）表达的调控对人前列腺癌细胞系DU145细胞增殖、周期、凋亡、侵袭和迁移等恶性生物学行为的影响及其作用机制。方法：利用脂质体Lipofectamine2000将miR-141 mimics（miR-141 up组）和miR-141 inhibi‐tiors（miR-141 down 组）分别转染至人前列腺癌DU145细胞中，同时设置未转染组（Control组）和miRNA无义序列转染组（NC组）。qPCR检测转染前后各组DU145细胞中miR-141表达变化，MTT方法检测各组DU145细胞的增殖活力和对顺铂（DDP）作用敏感性变化，流式细胞术检测各组DU145细胞周期和顺铂作用下凋亡率变化，Transwell方法检测各组细胞侵袭和迁移能力的变化，Western blotting检测各组细胞中VEGF、EGFR蛋白表达量变化。结果：与Control组和NC组相比，miR-141 down组DU145细胞中miRNA-141表达水平下降为（0.18±0.08），其细胞增殖活力显著下降而对DDP敏感性显著上升、细胞周期被阻滞于G0+G1期而细胞凋亡率显著上升至（46.67±5.86）%、细胞侵袭率和迁移率分别显著下降至（44.34±8.32）%和（57.73±6.19）%、VEGF和EGFR相对表达量分别下降至（0.47±0.06）和（0.36±0.06）（上述各指标分别P<0.05或P<0.01）。miR-141 up组DU145细胞中miR‐NA-141表达水平上升为（4.23±0.53），其细胞增殖活力显著上升而对DDP敏感性显著下降、细胞周期提前进入S和G2期而细胞凋亡率显著下降至（18.77±4.24）%、细胞侵袭率和迁移率分别显著上升至（89.94±6.34）%和（94.44±5.84）%、VEGF和EGFR相对表达量分别上升至（0.89±0.07）和（0.73±0.06）（上述各指标分别P<0.05或P<0.01）。结论：miR-141在前列腺癌DU145细胞中发挥促癌因子作用，其下调表达能够显著抑制DU145细胞增殖活力、周期、侵袭与迁移，而促进对DDP的敏感性和细胞凋亡，其机制可能与其抑制VEGF和EGFR蛋白表达有关。     

Pressurized IntraPeritoneal Aerosol Chemotherapy with one minute of electrostatic precipitation (ePIPAC) is feasible,but the histological tumor response in peritoneal metastasis is insufficient

IntroductionElectrostatic precipitation Pressurized IntraPeritoneal Aerosol Chemotherapy (ePIPAC) has shown superior penetration depth and tissue uptake compared to standard PIPAC. We investigated the feasibility and objective tumor response to ePIPAC with 1 min of precipitation in patients with peritoneal metastasis (PM).Materials and methodsPatients with PM from various abdominal cancers were included in an amendment to the ongoing prospective PIPAC-OPC2 trial. Colorectal and appendiceal PM were treated with oxaliplatin, patients with PM from other primaries were treated with a combination of cisplatin and doxorubicin. Three ePIPAC procedures were planned in each patient including repeated peritoneal biopsies for response evaluation. After emission to the peritoneal cavity, the aerosolized chemotherapeutics were precipitated for 1 min followed by immediate exsufflation and abdominal closure. Histological regression from the first to the third ePIPAC was evaluated according to the Peritoneal Regression Grading Score (PRGS) and compared to data from the PIPAC-OPC1 trial. Complications and toxicities were recorded according to Dindo-Clavien and CTCAE.ResultsSixty-five ePIPAC procedures were performed in 33 patients (median 2, range 1–6). Ten patients were eligible for response evaluation based on biopsies from the first and third ePIPAC procedure. Four patients had disease progression, four patients had regressive disease, and two patients had stable disease according to PRGS. No life threatening adverse reactions and no mortality was observed following ePIPAC.ConclusionOne minute ePIPAC was feasible and safe, but the histological tumor response was insufficient compared to standard PIPAC directed therapy with 30 min passive diffusion time.     

PP4R1 interacts with HMGA2 to promote non-small-cell lung cancer migration and metastasis via activating MAPK/ERK-induced epithelial-mesenchymal transition

Protein phosphatase 4 regulatory subunit 1 (PP4R1) has been shown to play a role in the regulation of centrosome maturation, apoptosis, DNA repair, and tumor necrosis factor signaling. However, the function of PP4R1 in non-small-cell lung cancer remains unclear. In this study, we identify PP4R1 as an oncogene through Oncomine database mining and immunohistochemical staining, and we showed that PP4R1 is upregulated in lung cancer tissues as compared with that in normal lung tissues and correlated with a poor prognosis in lung cancer patients. Furthermore, in vitro study by wound-healing and Transwell assay showed that PP4R1 could promote migration and invasion of lung cancer cells. Mechanistic investigations revealed that PP4R1 could cooperate with high mobility group AT-hook 2 and thereby promotes epithelial-mesenchymal transition via MAPK/extracellular receptor kinase activation. Taken together, our study provides a rich resource for understanding PP4R1 in lung cancer and indicates that PP4R1 may serve as a potential biomarker in lung cancer therapies.     

Individual prediction of lateral neck metastasis risk in patients with unifocal papillary thyroid carcinoma

IntroductionMuch controversy exists over whether to perform lateral neck dissection (LND) on patients with papillary thyroid carcinoma (PTC). This study aimed to build predictive nomograms that could individually estimate lateral neck metastasis (LNM) risk and help determine follow up intensity.Patients and methodsUnifocal PTC patients who underwent LND between April 2012 and August 2014 were identified. Clinical and pathological variables were retrospectively evaluated using univariate and stepwise multivariate logistic regression analysis. Variables that had statistical significance in final multivariate logistic models were chosen to build nomograms, which were further corrected using the bootstrap resampling method.ResultsIn all, 505 PTC patients were eligible for analysis. Among these, 178 patients (35.2%) had lateral neck metastasis. Two nomograms were generated: nomogram (c) and nomogram (c + p). Nomogram (c) incorporated four clinical variables: age, tumor size, tumor site, and extrathyroidal extension (ETE). It had a good discriminative ability, with a C-index of 0.79 (bootstrap-corrected, 0.78). Nomogram (c + p) incorporated two clinical variables and two pathological variables: tumor size, tumor site, extranodal extension (ENE), and number of positive nodes in the central compartment. Nomogram (c + p) showed an excellent discriminative ability, with a C-index of 0.86 (bootstrap-corrected, 0.85).ConclusionTwo predictive nomograms were generated. Nomogram (c) is a clinical model, whereas nomogram (c + p) is a clinicopathological model. Each nomogram incorporates only four variables and can give an accurate estimate of LNM risk in unifocal PTC patients, which may assist clinicians in patient counseling and decision making regarding LND.     

Chest wall metastasis of endometrial cancer: case report and review of the literature

Introduction: Endometrial cancer is the fourth most common female cancer and also distant metastases to the chest wall associated with these tumors are seen less common. Surgical treatment options for metastases of endometrial cancer are limited.

Case: A 57-year-old patient who underwent total abdominal hysterectomy?+?bilateral salpingo oophorectomy and received adjuvant chemotherapy for endometrioid-type adenocarcinoma of the endometrium and tuba is presented. The patient initially presented with pleural effusion 8 years ago and the tumor was detected while during etiologic screening. The patient had no problems after adjuvant chemotherapy and had been living in another city when she presented with a mass on the chest wall measuring 20?×?15?×?12?cm 8 years after the initial diagnosis and distant organ metastasis due to the first surgery was detected. The mass was first thought to be a sarcoma and the tru-cut biopsy revealed a metastatic lesion that was immunohistochemically similar to the first surgical specimen. The mass was resected with a wide radical excision and ‘no touch’ technique. The patient was then discharged with no postoperative complications.

Conclusion: Here in, a case with a distant organ metastasis due to an endometrioid-type adenocarcinoma is presented accompanied by literature data.     

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。