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Query: UNIPROT:P50583 (asymmetrical)
 12,197 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Chlamydia trachomatis infection has been suggested to induce host genome duplication and is linked to increased risks of cervical cancer. We describe here the mechanism by which Chlamydia causes a cleavage furrow defect that consistently results in the formation of multinucleated host cells, a phenomenon linked to tumorigenesis. Host signaling proteins essential for cleavage furrow initiation, ingression, and stabilization are displaced from one of the prospective furrowing cortices after Chlamydia infection. This protein displacement leads to the formation of a unique asymmetrical, unilateral cleavage furrow in infected human cells. The asymmetrical distribution of signaling proteins is caused by the physical presence of the Chlamydia inclusion at the cell equator. By using ingested latex beads, we demonstrate that the presence of a large vacuole at the cell equator is sufficient to cause furrow ingression failure and can lead to multinucleation. Interestingly, internalized latex beads of similar size do not localize to the cell equator as efficiently as Chlamydia inclusions; moreover, inhibition of bacterial protein synthesis with antibiotic reduces the frequency at which Chlamydia localizes to the cell equator. Together, these results suggest that Chlamydia effectors are involved in strategic positioning of the inclusion during cell division.
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PMID:Chlamydia trachomatis inclusions induce asymmetric cleavage furrow formation and ingression failure in host cells. 2196 6

High-risk human papillomavirus (HPV) infection is the principal risk factor for the development of cervical cancer. The HPV E6 oncoprotein has the ability to target and interfere with several PSD-95/DLG/ZO-1 (PDZ) domain-containing proteins that are involved in the control of cell polarity. This function can be significant for E6 oncogenic activity because a deficiency in cell polarisation is a marker of tumour progression. The establishment and control of polarity in epithelial cells depend on the correct asymmetrical distribution of proteins and lipids at the cell borders and on specialised cell junctions. In this report, we have investigated the effects of HPV E6 protein on the polarity machinery, with a focus on the PDZ partitioning defective 3 (Par3) protein, which is a key component of tight junctions (TJ) and the polarity network. We demonstrate that E6 is able to bind and induce the mislocalisation of Par3 protein in a PDZ-dependent manner without significant reduction in Par3 protein levels. In addition, the high-risk HPV-18 E6 protein promotes a delay in TJ formation when analysed by calcium switch assays. Taken together, the data presented in this study contribute to our understanding of the molecular mechanism by which HPVs induce the loss of cell polarity, with potential implications for the development and progression of HPV-associated tumours.
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PMID:Human papillomavirus (HPV)-18 E6 oncoprotein interferes with the epithelial cell polarity Par3 protein. 2446 19

The involvement of the cervix as a site of relapse for hematologic malignancies is rare. We herein present a case of relapsed B-cell Acute Lymphoblastic Leukemia/Lymphoma (ALL) mimicking advanced cervical cancer. The patient is a 61-year-old female with history B-cell ALL and had multiple relapses confined to the bone marrow and had received several different chemotherapy regimens. She presented with lower abdominal pain after the end of her last cycle for which an MRI abdomen and pelvis was done and it showed the presence of an asymmetrical cervical mass. Further imaging included a PET-CT showing the presence of hypermetabolic cervical mass with left pelvic and retroperitoneal lymph node involvement. She underwent a biopsy of 3 distinct lesions in the cervix and vagina and a diagnosis of relapsed B-cell ALL was confirmed in two out of the three specimens.
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PMID:B-cell acute lymphoblastic leukemia/lymphoma in relapse presenting as a cervical mass: A case report and review of literature. 3146 59

Breast cancer is the second leading cause of cancer death among women preceded by cervix cancer. It has been reported that at the early stage of detection there is 85% chance of getting cured, whereas only 10% chance at later stage diagnosis. The current screening modalities are expensive, they have intricate imaging measures and they are unhealthy due to radiation exposure. Therefore, a screening tool that is non-invasive, has no connection with the body, free from radiation, such as Medical Thermography is necessary. It is reported that the sensitivity and specificity of medical thermography are high largely in dense breast tissues. The clinical interpretation primarily depends on the asymmetrical analysis of these thermograms subjectively. The appearance of an asymmetric thermal image may indicate the pathological conditions. For earlier detection of breast cancer, it is essential to identify the advanced methods in image processing techniques which enhance the significance of diagnostics. In that analysis, the required breast region is unglued from the background image. The segmented image is separated into symmetrical left and right breast tissues. The statistical and histogram features extracted from both regions are used to identify the abnormal thermograms using machine learning algorithms. From literature, it is reported that the thermal images are inherently low contrast images and have low single to noise ratio. Moreover, they are amorphous in nature and no clear edges are seen. The difficulty lies in the detection of lower breast boundaries and inframammary folds. So, in general, the first attempt is made in improving the signal to noise ratio and contrast of the image which helps to extract the true regions of breast tissues. Then, asymmetry analysis of the normal and abnormal breast tissues is performed using different techniques. This work demonstrates the review of a few image processing methods or the development which are elaborated in the detection of breast cancer from thermal images.
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PMID:Thermal Imaging Techniques for Breast Screening - A Survey. 3305 55