血清PSA含量与前列腺癌临床分期、病理分级的相关性

目的:探讨血清前列腺特异性抗原(PSA)与前列腺癌(PCa)临床分期、病理分级的相关性.方法:对自2004年7月～2009年12月南京市13692例50岁以上的男性在健康体检时行血清PSA检测.以PSA≥4.0ng/ml定为前列腺癌可疑病例.建议行前列腺穿刺活检以确诊.共筛查出PCa患者140例,比较不同PSA值PCa患者的Gleason评分及临床分期.结果:随着PSA值的升高,前列腺癌筛查阳性率亦随之升高,低分化前列腺癌患者血清PSA含量明显高于高分化前列腺癌和中分化前列腺癌患者(P＜0.05),晚期前列腺癌患者血清PSA含量明显高于早期PCa患者(P＜0.01).血清PSA含量≥20ng/ml的前列腺癌人群中低分化前列腺癌及晚期前列腺癌的比例高于血清PSA含量＜20ng/ml的前列腺癌人群(P＜0.01).结论:血清PSA可以为前列腺癌患者的诊断、治疗及预后判断提供重要依据.     

前列腺癌根治术治疗不同分级前列腺癌患者的临床研究

目的:探究前列腺癌根治术在不同危险度前列腺癌患者中治疗的临床效果,为临床前列腺癌患者的治疗提供依据。方法:选择2008年1月~2015年12月期间我院94例前列腺癌患者为研究对象,根据D'Amico评分将其分为高危、中危及低危三组,收集患者基线资料、术后随访资料,并比较三组手术并发症;采用Kaplan-Meier分析法计算三组患者生存率,并采用Log-rank检验比较不同危险组的生存率。结果:高危组患者进行开放性手术人数多于中危组和低危组,且中危组多于低危组,差异具有统计学意义(P0.05);高危组患者术前Gleason评分和PAS水平高于中危组和低危组,且中危组高于低危组,差异具有统计学意义(P0.05);术后5年高危组患者完全控尿率显著低于中危组和低危组(P0.05);三组患者间5年无生化复发率比较无统计学意义(P0.05)。结论:前列腺癌根治术治疗高危前列腺患者较中、低危患者疗效较差,但仍可达到较好的疗效,可在临床推广使用。     

PTEN蛋白表达与前列腺癌病理分期的关系

目的:探讨PTEN蛋白在前列腺癌组织中的表达及其临床意义。方法:应用免疫组织化学S-P方法,检测前列腺癌及良性前列腺增生组织中PTEN蛋白的表达。结果:PTEN蛋白表达阳性随肿瘤细胞病理分级、临床分期的增高,PTEN蛋白阳性表达率降低。结论:PTEN蛋白异常表达在前列腺癌的进展中有重要作用,检测PTEN蛋白的表达有助于判断病情及预后。     

PTEN蛋白表达与前列腺癌病理分期的关系

目的：探讨PTEN蛋白在前列腺癌组织中的表达及其临床意义。方法：应用免疫组织化学S-P方法,检测前列腺癌及良性前列腺增生组织中PTEN蛋白的表达。结果：PTEN蛋白表达阳性随肿瘤细胞病理分级、临床分期的增高,PTEN蛋白阳性表达率降低。结论：PTEN蛋白异常表达在前列腺癌的进展中有重要作用,检测PTEN蛋白的表达有助于判断病情及预后。     

腹腔镜前列腺癌根治术治疗前列腺癌的疗效及对患者血清激素水平的影响

目的:分析腹腔镜前列腺癌根治术治疗前列腺癌的疗效及其对患者血清激素水平的影响。方法:选择86例前列腺癌患者为研究对象并按抽签法随机分为对照组与观察组,每组43例。对照组行开放前列腺癌根治术治疗,观察组采用腹腔镜前列腺癌根治术,比较两组手术指标,手术前后血清促卵泡激素(FSH)、黄体生成素(LH)、双氢睾酮(DHT)、游离睾酮(FT)、总睾酮(T)、前列腺特异性抗原(T-PSA、F-PSA),CD3~+、CD4~+、CD8~+、CD4~+/CD8~+水平的变化及术后并发症的发生情况。结果:观察组手术时间明显长于对照组,失血量、肠功能恢复时间、住院时间、疼痛评分均明显低于或短于对照组(P0.05)。两组治疗前后血清FSH、LH、DHT、FT、T、T-PSA、F-PSA比较差异均无统计学意义(P0.05)。观察组CD3~+、CD4~+、CD4~+/CD8~+显著高于对照组(P0.05),CD8~+低于对照组(P0.05)。观察组术后并发症的发生率明显低于对照组(P0.05)。结论:腹腔镜前列腺癌根治术可起到与开放手术相似的控瘤效果,提高血清雄激素水平和患者的免疫功能,控制肿瘤进展,且安全性更高。     

CD147 在前列腺癌中的表达及其与肿瘤临床病理特征的关系

目的:研究CD147在还没前列腺癌组织中的表达及其与肿瘤临床病理特征的关系。方法:选择2013年10月-2015年10月我院收治的前列腺癌患者61例作为研究对象,另选取同期接受手术治疗的前列腺增生患者49例作为对照组,术中收集前列腺癌患者的肿瘤组织和癌旁组织以及前列腺增生患者的组织标本,采用免疫组化法检测CD147在前列腺癌组织、癌旁组织及前列腺增生组织中的表达情况。结果:CD147在前列腺癌组织中的阳性表达率(95.08%)显著高于癌旁组织(32.79%)和前列腺增生组织(16.32%),差异具有统计学意义(P0.05);CD147在癌旁组织中的阳性表达率(32.79%)高于前列腺增生组织(16.32%),差异具有统计学意义(P0.05)。CD147的阳性表达与前列腺癌Gleason分级、临床分期、淋巴结转移及远处转移呈正相关关系(P0.05)。结论:CD147在前列腺癌组织中呈阳性表达,且Gleason病理分级≥5、临床分期T3~4、淋巴结转移N1及远处转移M1均为前列腺癌组织中CD147m RNA阳性表达的危险因素。     

病理分期在颌颈部淋巴结核治疗中的价值

目的:探讨病理分期在颌颈部淋巴结核治疗中的价值,以期寻找颌颈部淋巴结核的最佳治疗方案。方法:收集我科近5年的临床资料,对颌颈部淋巴结核患者的发病及治疗情况作一临床统计,并结合淋巴结核的病理分期对之加以分析,寻找治疗规律。结果:所有颌颈部淋巴结核患者按病理分期采取不同治疗方案,均达到较佳治疗效果,处于病理初期和中期的患者,临床治疗周期明显小于常规化疗。结论:遵从病理分期治疗颌颈部淋巴结核是一种较为科学合理的治疗思路和方法。     

不同病理分期肺腺癌患者血清代谢组学研究

肺癌是当今世界最常见的恶性肿瘤之一,其新发率和死亡率多年来都居于各类癌症之首,其中85%的肺癌都是非小细胞癌,而腺癌又是最常见的非小细胞癌。肺癌的高隐匿性是造成其高死亡率的最主要原因,因此为肺癌的早期诊断和病理分期寻求高效可靠的方法是十分必要的。代谢组学揭示了小分子代谢物的一系列变化,反映了生命活动的最终状态,因此也能直接反映疾病不同发展阶段的病理生理变化。本研究利用核磁共振氢谱(1H-NMR),对在我院就诊的27例不同病理分期的肺腺癌患者和13例健康志愿者进行了血清代谢物分析,运用正交偏最小二乘判别分析(OPLS-DA)对1H-NMR数据进行建模,单变量统计分析对模型进行评价。结果表明肺腺癌患者组的血清中有14种代谢物出现明显差异,其中丙酮酸、丙氨酸、NAC1、乳酸、GPC和甘氨酸比起对照组来有显著上升,而葡萄糖、谷氨酰胺、亮氨酸、异亮氨酸、缬氨酸、丙酮、乙酰乙酸和苏氨酸则显著下降。而在不同分期肺腺癌患者间进行比较后发现,异亮氨酸、乙酰乙酸、NAC1和乳酸的变化与肺腺癌的发展有相关性,可能是肺腺癌早期诊断和分期的潜在生物标志物。     

卵巢良恶性肿瘤的超声征象及其与卵巢癌临床分期、病理分级的相关性分析

摘要 目的：探讨卵巢肿瘤良恶性病变的超声征象及其与卵巢癌临床分期、病理分级的相关性。方法：选取我院2020年8月到2023年8月收治的148例卵巢肿瘤患者进行回顾性分析,以手术病理及病理活检作为诊断金标准,将60例确诊为卵巢癌的患者纳入恶性组,将88例确诊为卵巢良性肿瘤的患者纳入良性组。对所有患者进行超声检查,分析其超声图像特征。随后分析60例卵巢癌患者不同临床分期和病理分级患者的超声诊断参数情况,并分析超声诊断相关参数与卵巢临床分期、病理分级的相关性。结果：超声对卵巢肿瘤良性诊断准确率为86.36 %（76/88）对恶性肿瘤诊断率为88.64 %（78/88）;不同临床分期患者RI、PI、EDV、PSV对比差异显著,Ⅰ期患者RI、PI为（0.77±0.14）和（1.67±0.24）高于Ⅱ期（0.64±0.15）和（1.25±0.16）、Ⅲ期患者（0.52±0.17）和（0.96±0.16）、Ⅳ期（0.41±0.12）和（0.76±0.12）,Ⅰ期患者EDV和PSV（8.63±1.27）cm/s和（16.53±2.53）cm/s低于Ⅱ期（10.25±1.68）cm/s和（18.44±1.58）cm/s、Ⅲ期（12.73±1.79）cm/s和（20.14±2.25）cm/s、Ⅳ期患者（15.51±1.12）cm/s和（23.06±1.98）cm/s（P＜0.05）;不同临床分期患者RI、PI、EDV、PSV对比差异显著,Ⅰ级患者RI、PI为（0.81±0.16）和（1.62±0.19）高于Ⅱ级（0.65±0.12）和（0.91±0.22）、Ⅲ级患者（0.47±0.17）和（0.67±0.13）,Ⅰ级患者EDV和PSV（8.32±1.51）cm/s和（15.12±3.33）cm/s低于Ⅱ级（12.75.±1.14）cm/s和（21.31±3.14）cm/s、Ⅲ级患者（15.35±1.79）cm/s和（24.08±2.04）cm/s（P＜0.05）;Spearman相关分析结果表明：临床分期、病理分级与RI、PI呈负相关,与EDV、PSV呈正相关（P＜0.05）。结论：超声对卵巢肿瘤的良恶性病变诊断具有重要指导价值,且与卵巢癌的临床分期、病理分级具有明显相关性,值得临床应用推广。     

血清P53、MMP-7抗体表达与食管癌的病理类型、分期的相关性

目的:探讨血清P53、基质金属蛋白酶-7(Matrix metalloproteinase-7,MMP-7)抗体表达与食管癌的病理类型、分期的相关性.方法:2019年10月-2020年4月选择在本院诊治的食管癌患者80例作为食管癌组,同期选择体检的健康人50例作为对照组,检测两组血清P53、MMP-7抗体表达情况,调查...     

Proteome informatics for cancer research: from molecules to clinic

Proteomics offers the most direct approach to understand disease and its molecular biomarkers. Biomarkers denote the biological states of tissues, cells, or body fluids that are useful for disease detection and classification. Clinical proteomics is used for early disease detection, molecular diagnosis of disease, identification and formulation of therapies, and disease monitoring and prognostics. Bioinformatics tools are essential for converting raw proteomics data into knowledge and subsequently into useful applications. These tools are used for the collection, processing, analysis, and interpretation of the vast amounts of proteomics data. Management, analysis, and interpretation of large quantities of raw and processed data require a combination of various informatics technologies such as databases, sequence comparison, predictive models, and statistical tools. We have demonstrated the utility of bioinformatics in clinical proteomics through the analysis of the cancer antigen survivin and its suitability as a target for cancer immunotherapy.     

The synthesis of neurotensin antagonist SR 48692 for prostate cancer research

An improved synthesis of the molecule SR 48692 is presented and its use as a neurotensin antagonist biological probe for use in cancer research is described. The preparation includes an number of enhanced chemical conversions and strategies to overcome some of the limiting synthetic transformations in the original chemical route.     

Preliminary evaluation of prostate cancer metastatic risk biomarkers

Prostate cancer patients at high risk of metastasis need to be identified as early as possible since metastasis is invariably fatal. Treatment could be tailored to risk. Recent array comparative genomic hybridization (aCGH) studies of primary and metastatic prostate tumors identified 39 BAC clones capable of detecting genomic signatures of metastasis. We termed these loci the genomic evaluators of metastatic CaP (GEMCaP). Risk assessments were made on a set of men who were managed with radical prostatectomy. We compared the utility of GEMCaP loci and the Kattan nomogram, a common risk assessment tool, in relation to biochemical outcome. This preliminary evaluation experiment suggests we can use aCGH to detect genomic signatures of metastasis in primary tumors with an accuracy of 78%. The classification accuracy for the Kattan nomogram was 75%. Therefore, validation of GEMCaP is warranted in a larger, appropriately designed cohort.     

The use of genetically engineered mouse models of prostate cancer for nutrition and cancer chemoprevention research

The ability to modify the expression of specific genes in the mouse through genetic engineering technologies allows for the generation of previously unavailable models for prostate cancer prevention research. Although animal models have existed for some time for the study of prostate cancer prevention (primarily in the rat), it is uncertain if the mechanisms that drive prostate carcinogenesis in these models are relevant to those in human prostate cancer. Cell culture studies are of limited usefulness because the conditions are inherently artificial. Factors such as relevant physiologic concentrations and metabolism of putative chemoprevention compounds are difficult to model in an in vitro system. These studies also preclude the types of interactions known to occur between multiple cell types in vivo. In addition, all prostate cancer cell lines are already highly progressed and are not representative of the type of cells to which most preventive strategies would be targeted. Due to the advent of genetically engineered mouse (GEM) models, we now have models of prostate cancer that are dependent on molecular mechanisms already implicated in human prostate carcinogenesis. With these models we can perform a variety of experiments that could previously only be done in cell culture or in prostate cancer cell line xenografts. The currently available GEM models of prostate cancer have been extensively reviewed therefore, this review will focus on the types of models available and their usefulness for various types of preclinical studies relevant to prostate cancer prevention.     

What oncology nurses need to know: A study of blood markers, clinic pathologic features, and ovarian cancer prognosis

A better understanding of the factors related to cancer helps health professionals like nurses to provide more individualized health care which will affect the prognosis of patients with ovarian cancer The aim of this study was to analyze the association of clinicopathological features and risk factors with ovarian cancer prognosis. This retrospective study recruited 103 patients with ovarian cancer who were treated at a single institution during the period from May 2002 to May 2014. The blood markers CA125, CA153, and serum ferritin (SF) were detected in all patients before surgery. Risk factors were analyzed using univariate and multivariate logistic regression models and survival analyses were performed using Kaplan–Meier. Menopause was considered to be associated with SF expression levels. The expression of CA125, CA153, and SF were associated with metastasis and FIGO stage. The expression of CA153 was associated with tumor grade. FIGO stage, menopause, expression levels of CA125 and CA153 are associated with poor prognosis in ovarian cancer patients. Through what we have found, nurses should pay attention to these prognostic factors in order to provide optimal nursing care and improve the quality of life of patients with ovarian cancer.     

Genomic research and the cancer clinic: uncertainty and expectations in professional accounts

This paper explores clinicians’ and scientists’ accounts of genomic research in cancer care and the complexities and challenges involved with delivering this work. Contributing to the sociology of (low) expectations, we draw on sociological studies of uncertainty in medicine to explore their accounts of working with uncertainty as part of the management of patient and institutional expectations. We consider their appeals to the importance of modest inquiry and framing of the uncertainties of genomic medicine as normal and at times welcome as they sought to configure professional autonomy and jurisdictions and cultivate an experimental ethos amongst their patients. We argue that these types of uncertainty work [Star, S. L. 1985. “Scientific Work and Uncertainty.” Social Studies of Science 15 (3): 391–427] are a key feature of managing expectations at the intersections of genomic research and clinical care.     

前列腺癌相关基因研究

前列腺癌是目前最重要的危害欧美国家男性健康的肿瘤疾病,在我国发病也呈上升趋势,本综述了前列腺相关基因研究的最新献,分染色体畸变、易感基因、原癌基因、抑癌基因和其他基因等五个部分。