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1.
Using three methods to measure cell proliferation, namely DNA cell cycle; anti-proliferating cell monoclonal antibody (MAb) (Ki67, P145) analysis by flow cytometry; and the histological silver (argyrophilic) staining technique to visualize nuclear-organizing regions (AgNOR), twenty-two paired samples of primary breast tumour and axillary lymph node were analysed. The results showed variable levels of correlation between the methods used for the tumour group (r = 0.915, P <0.001 for Ki677 versus P145; r = 0.42, P <0.005 for percentage S/G2/M-phase versus P145; r = 0.16, P <0.5 for percentage S/G2/M-phase versus AgNOR; r = 0.400, P < 0.1 for Ki67 versus AgNOR). The lymph-node group showed slightly poorer correlations, yet involved nodes showed a consistently higher level of proliferation than non-involved nodes by all methods used. Overall, MAb binding of Ki67 or P145 was seen to be a good indicator of cycling cells, detecting G1-phase cells in addition to S/G2/M-phase cells indentified by the other methods used. However, no advantage was found over the usual DNA flow cytometric analysis of cells, which had clear prognostic value. AgNOR scores were found to be able to discriminate between diploid and aneuploid; and dividing and non-dividing cells, but areas of score overlap limited the application of this technique to that of a positive discriminator only.  相似文献   

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3.
乳腺癌前哨淋巴结不同检测方法效果研究   总被引:1,自引:0,他引:1  
目的 :研究染色法、同位素法、联合法3种不同检测方法对乳腺癌前哨淋巴结检测的影响。方法:选取2007年9月2013年11月在我院就诊的早期女性乳腺癌患者为研究对象,将患者随机分为3组,蓝染料组、核素组、联合组。比较各组乳腺癌前哨淋巴结活检的成功率、准确率及假阴性率。结果 :与单纯使用染料的方法相比,联合法的假阴性率显著性降低,差异有统计学意义。与单用染料组及核素组相比,联合法发现的SLN数较多,但无统计学差异。结论:联合应用染料及同位素示踪较单一方法更能提高前哨淋巴结检测的成功率,降低假阴性率。  相似文献   

4.
  总被引:3,自引:0,他引:3  
Ductal carcinoma in situ (DCIS) of the breast is a premalignant condition which accounts for approximately 20% of all new breast cancers and up to 40% of neoplastic lesions detected by mammographic screening. Since recurrence is common after DCIS treated with breast conservation surgery, there is a need to determine molecular factors that predict recurrence. In parallel with this and with the finding that oestrogen receptor (ER) positive breast cancer can be prevented with anti-oestrogens, there have been recent advances in the understanding of the molecular biology of DCIS. Receptor coexpression in DCIS has been determined largely by immunohistochemistry. Animal models have provided evidence for the signalling pathways involved in the regulation and dysregulation of proliferation and apoptosis in both normal breast and in situ cancer. ER-negative DCIS has been shown to be hormone-independent. Blockade of the pathways involved in cell proliferation in ER-negative DCIS is possible and will be necessary to prevent ER-negative breast cancers if the goal of breast cancer chemoprevention is to be realistically achieved.  相似文献   

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雌激素受体阳性型是乳腺癌最常见的亚型,以他莫昔芬为代表的内分泌治疗是针对该亚型乳腺癌患者的主要治疗手段。然而,乳腺癌是一种高度异质性的疾病,部分患者在接受他莫昔芬治疗后仍然面临复发的风险。本研究利用单细胞流式质谱装置,考察他莫昔芬作用下MCF-7细胞代谢产物的变化情况。结果表明,在正、负离子模式下分别鉴定到576、480种代谢物,在对照组和他莫昔芬给药组的细胞中分别鉴定到811、776种代谢物。其中,在负离子模式下检测到的代谢物能够实现他莫昔芬给药前后MCF-7细胞的显著区分。在他莫昔芬作用下,MCF-7细胞中共有28种代谢物含量上调,59种代谢物含量下调,主要影响氨基酸代谢、核苷酸代谢等代谢通路。本研究利用基于质谱的单细胞代谢组学技术考察他莫昔芬对乳腺癌细胞产生的代谢变化,从单细胞代谢组学角度阐明他莫昔芬抗雌激素受体阳性型乳腺癌的作用机制,可为研究其他药物的作用机制提供参考。  相似文献   

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《Biocell》2021,45(2):317-321
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This study shows a strong association between cell attachment to substratum and activation of β1-integrin-signaling with resistance to the camptothecin derivative topotecan (TPT) in breast cancer cells. We propose a mechanistic-driven approach to sensitize the cells to camptothecins. ZR-75-1 anchoragedependent breast cancer cell line, its derivative 9D3S suspension cells (9D3S-S), and 9D3S cells attached to fibronectin-coated plates (9D3S-A) were treated with TPT (1 µM) or CPT-11 (40 µM) for 48 h. Programmed cell death (PCD), as shown by poly(ADP-ribose) polymerase (PARP), pro-caspase-3 and pro-caspase-9 cleavage, was observed in 9D3S-S cells but not in ZR-75-1 or 9D3S-A cells. Because p125 focal adhesion kinase (FAK) is a transducer in the β1-integrin signaling pathway, it is essential to cell adhesion and it is overexpressed in metastatic breast cancer, we hypothesized that attenuation of FAK might enhance the sensitivity of breast cancer cells to camptothecins. Moreover, inhibition of FAK gene expression by a phosphorothioated antisense oligodeoxynucleotide targeting the portion of the gene encoding amino acids 262-268, increased the sensitivity of ZR-75-1, MDA-MB-231 and MCF7 breast cancer cells to treatment with TPT or CPT-11.  相似文献   

8.
目的:探讨一种目前较为新颖的通过Rotor Gene-3000荧光定量PCR仪进行Tm-shifting荧光定量PCR扩增测定单核苷酸多态性(SNP)的可行性。方法:以913份乳腺肿物患者成纤维细胞生长因子受体2(FGFR2)基因rs2981582位点(T→C)作为研究对象,用荧光染料SYBR GreenI标记DNA,并在设计引物时在所研究基因的特异性引物5’末端连接上不同长度的尾,使不同基因型标本的PCR融解曲线的高峰出现在不同位置,最终可通过对PCR融解曲线的分析进行SNP分型测定。结果:纯合子C/C基因型融解曲线峰出现在≤84.60C处,特殊情况下稍向右偏移,但不超过85.10C,峰型较尖。纯合子T/T基因型融解曲线峰出现在≥87.50C处,特殊情况下稍向左偏移,但不小于870C,峰型较尖。杂合子T/C基因型融解曲线峰出现在前两者之间,峰型较平。结论:实验结果表明,用本方法检测大批量人群标本的SNP结果符合遗传平衡定律,且操作简便,检测耗时短,结果特异且费用较为低廉,适合于进行大规模样品的SNP快速测定。  相似文献   

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Because of the great number of women who are diagnosed with breast cancer each year, and though this disease presents the lowest mortality rate among cancers, breast cancer remains a major public health problem. As for any cancer, the tumorigenic and metastatic processes are still hardly understood, and the biochemical markers that allow either a precise monitoring of the disease or the classification of the numerous forms of breast cancer remain too scarce. Therefore, great hopes are put on the development of high-throughput genomic and proteomic technologies. Such comprehensive techniques should help in understanding the processes and in defining steps of the disease by depicting specific genes or protein profiles. Because techniques dedicated to the current proteomic challenges are continuously improving, the probability of the discovery of new potential protein biomarkers is rapidly increasing. In addition, the identification of such markers should be eased by lowering the sample complexity; e.g., by sample fractionation, either according to specific physico-chemical properties of the proteins, or by focusing on definite subcellular compartments. In particular, proteins of the lysosomal compartment have been shown to be prone to alterations in their localization, expression, or post-translational modifications (PTMs) during the cancer process. Some of them, such as the aspartic protease cathepsin D (CatD), have even been proven as participating actively in the disease progression. The present review aims at giving an overview of the implication of the lysosome in breast cancer, and at showing how subproteomics and the constantly refining MS-based proteomic techniques may help in making breast cancer research progress, and thus, hopefully, in improving disease treatment.  相似文献   

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The aim of this study was to reveal genes associated with breast cancer metastasis, to investigate their intrinsic relationship with immune cell infiltration in the tumor microenvironment, and to screen for prognostic biomarkers. Gene expression data of breast cancer patients and their metastases were downloaded from the GEO, TCGA database. R language package was used to screen for differentially expressed genes, enrichment analysis of genes, PPI network construction, and also to elucidate key genes for diagnostic and prognostic survival. Spearman’s r correlation was used to analyze the correlation between key genes and infiltrating immune cells. We screened 25 hub genes, FN1, CLEC5A, ATP8B4, TLR7, LY86, PTGER3 and other genes were differentially expressed in cancer and paraneoplastic tissues. However, patients with higher expression of CD1C, IL-18 breast cancer had a better prognosis in the 10 years survival period, while patients with high expression of FN1, EIF4EBP1 tumors had a worse prognosis. In addition, TP53 and HIF1 genes are closely related to the signaling pathway of breast cancer metastasis. In this study, gene expression of ATP8B4 and CD1C were correlated with cancer tissue infiltration of CD8+ T lymphocytes, while GSE43816, GSE62327 and TCGA databases showed that CD8+ T lymphocytes were closely associated with breast cancer progression. Functional enrichment analysis of genes based on expression differences yielded key genes of prognostic value in the breast cancer microenvironment.  相似文献   

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YOULIN TUO  XUBAO LIU 《Biocell》2023,47(2):319-328
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13.
  总被引:3,自引:0,他引:3  
Image Analysis, a complicated field still in the early stages of application to Pathology, has the capability of rendering major contributions to the diagnosis, prognosis, and management of malignancies of the breast. The present review summarizes the main problems and the general approach to the use of this technique for quantitating immunohistochemical stain results, obtaining DNA histograms, and making de novo diagnoses in routine materials of the Pathology service. In the case of diagnosis, the main steps are sampling, segmentation, and measures of chromatin texture. Currently, the limiting factor for all routine applications of image analysis is probably the absence of a reliable automatic nuclear segmentation.  相似文献   

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Interleukin-22 (IL-22) is a member of IL-10 cytokine family which is expressed in activated T cellspredominantly and in activated natural killer cells at lower levels. Previous studies have demonstrated the link betweenelevated levels of IL-22 and disease severity of psoriasis, Crohn’s disease, rheumatoid arthritis and interstitial lungdiseases. However, the function of IL-22 in the development and progression of colorectal cancer (CRC) remainselusive. In this study, we first evaluated the IL-22/IL-22R1 level in CRC patients, and found that tumor tissueshave more active expression of IL-22 and IL-22R1 than normal tissues, presenting correlation with the degree ofdifferentiation of tumor tissues. Subsequently, Caspase and cell viability assays were performed on SW-480 cell linewhich expresses high level of IL-22R1 to examine if the supplementation of IL-22 has an impact on apoptosis andproliferation. In comparison with treatment of 5-FU, supplementation of IL-22 promoted cell proliferation andameliorated apoptosis. To unveil signal transduction upon activation of IL-22R, we examined the phosphorylationof STAT3 in SW-480 cell line following supplementation of IL-22. The treatment of IL-22 also increased the level ofp-Akt, an essential component in PI3K/Akt pathway. Although the link between STAT3 phosphorylation and PI3K/Akt activation remains to be explored, our study revealed the mechanism underlying the effects of IL-22R activation onapoptosis as well as tumor differentiation, indicating the prognostic value of IL-22/IL-22R.  相似文献   

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Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone receptor status along with diagnosis of breast cancer. Time‐consumption and inter‐/intraobserver variability are major hindrances for evaluating the receptor score. In view of this, the paper proposes an automated Allred Scoring methodology for estrogen receptor (ER). White balancing is used to normalize the colour image taking into consideration colour variation during staining in different labs. Markov random field model with expectation‐maximization optimization is employed to segment the ER cells. The proposed segmentation methodology is found to have F‐measure 0.95. Artificial neural network is subsequently used to obtain intensity‐based score for ER cells, from pixel colour intensity features. Simultaneously, proportion score – percentage of ER positive cells is computed via cell counting. The final ER score is computed by adding intensity and proportion scores – a standard Allred scoring system followed by pathologists. The classification accuracy for classification of cells by classifier in terms of F‐measure is 0.9626. The problem of subjective interobserver ability is addressed by quantifying ER score from two expert pathologist and proposed methodology. The intraclass correlation achieved is greater than 0.90. The study has potential advantage of assisting pathologist in decision making over manual procedure and could evolve as a part of automated decision support system with other receptor scoring/analysis procedure.  相似文献   

16.
乳腺癌伽玛刀是一种新研制的治疗乳腺癌的放射性治疗设备,针对利用工业机器人更换乳腺癌伽玛刀放射源的实际要求,根据机器人的结构特点,建立机器人D-H连杆坐标系和机器人运动学方程,并对机器人运动学正问题和逆问题进行分析,利用MATLAB编程求解机器人运动学逆解,分析了机器人更换乳腺癌伽玛刀放射源的工作过程,规划了机器人换源运动轨迹,在COSMOSMotion中仿真机器人换源的运动过程,分析了机器人关节的运动曲线,为研究真实的换源情况提供技术支持。  相似文献   

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Breast cancer is one of the most common types of cancer in women, and histopathological imaging is considered the gold standard for its diagnosis. However, the great complexity of histopathological images and the considerable workload make this work extremely time-consuming, and the results may be affected by the subjectivity of the pathologist. Therefore, the development of an accurate, automated method for analysis of histopathological images is critical to this field. In this article, we propose a deep learning method guided by the attention mechanism for fast and effective classification of haematoxylin and eosin-stained breast biopsy images. First, this method takes advantage of DenseNet and uses the feature map's information. Second, we introduce dilated convolution to produce a larger receptive field. Finally, spatial attention and channel attention are used to guide the extraction of the most useful visual features. With the use of fivefold cross-validation, the best model obtained an accuracy of 96.47% on the BACH2018 dataset. We also evaluated our method on other datasets, and the experimental results demonstrated that our model has reliable performance. This study indicates that our histopathological image classifier with a soft attention-guided deep learning model for breast cancer shows significantly better results than the latest methods. It has great potential as an effective tool for automatic evaluation of digital histopathological microscopic images for computer-aided diagnosis.  相似文献   

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Real structures investigated in the material and biological sciences, such as minerals or tissues, can often be reduced to two phases. In a stochastic approach, the components of such binary structures may be considered as the union of grains — random sets implanted with their centres at random points — and their complementary space, which is called the pore space. The simplest stochastic germ-grain model is the Boolean model of random sets, which we use here instrumentally as a null model (reference model) for comparison with our biological material. After a brief review of basic properties of the Boolean model and related statistical methods, we introduce centred contact density functions as a new approach. Empirical contact density functions are estimated from the empirical contact distribution functions with an image analyser by dilation of the grain phase. Theoretical contact density functions are then predicted from a set of image parameters, under the assumption that the Boolean model holds. A centred contact density function is the difference between the estimated and the predicted contact density function. Apart from a random error term, centred contact density functions amount to zero irrespective of the area fraction of the grain phase, when the germ-grain model is Boolean. As a section of a spatial Boolean model is a planar Boolean model, the method is also applicable in stereological studies where digitized images are obtained from sections of a three-dimensional structure. Centred contact density functions were determined for mastopathic tissue as compared to mammary cancer, and for tumour-free prostatic tissue as compared to prostatic cancer. For each category of specimens, twenty cases with 10 images each were analysed. Benign and malignant glandular tissue of the aforementioned types deviates significantly from the Boolean model. Centred contact density functions show that malignant transformation is connected with profound geometric remodelling of the pore space.  相似文献   

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In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen receptor (ER) and progesterone receptor (PR) are widely used. The expert pathologist investigates qualitatively the stained tissue slide under microscope to provide the Allred score; which is clinically used for therapeutic decision making. Such qualitative judgment is time‐consuming, tedious and more often suffers from interobserver variability. As a result, it leads to imprecise IHC score for ER and PR. To overcome this, there is an urgent need of developing a reliable and efficient IHC quantifier for high throughput decision making. In view of this, our study aims at developing an automated IHC profiler for quantitative assessment of ER and PR molecular expression from stained tissue images. We propose here to use CMYK colour space for positively and negatively stained cell extraction for proportion score. Also colour features are used for quantitative assessment of intensity scoring among the positively stained cells. Five different machine learning models namely artificial neural network, Naïve Bayes, K‐nearest neighbours, decision tree and random forest are considered for learning the colour features using average red, green and blue pixel values of positively stained cell patches. Fifty cases of ER‐ and PR‐stained tissues have been evaluated for validation with the expert pathologist's score. All five models perform adequately where random forest shows the best correlation with the expert's score (Pearson's correlation coefficient = 0.9192). In the proposed approach the average variation of diaminobenzidine (DAB) to nuclear area from the expert's score is found to be 7.58%, as compared to 27.83% for state‐of‐the‐art ImmunoRatio software.  相似文献   

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