Anaplastic thyroid carcinoma (ATC) is a rare and highly aggressive fatal tumor. Most ATC patients using traditional surgery or radio-chemotherapy have poor prognosis and experience recurrence in a very short time. There is no optimal therapy for ATC, and the median survival time is about 5 months. We report a 67-year-old ATC patient, who experienced rapid local recurrence after radical thyroidectomy. The resected tumor tissue was sent for immunohistochemistry analysis and targeted next-generation sequencing. The results indicated high PD-L1 expression, a tumor mutation burden of 0.48 muts/Mb, microsatellite stable, and somatic mutations of TERT promoter, EIF1AX, NRAS and TP53. However, none of the mutations indicated corresponding target therapy. An immediate operation was unsuitable because of rapid recurrence after surgery. The patient was also not in a condition to tolerate chemotherapy. Based on the high expression of PD-L1, an optimum strategy was used, combining immunotherapeutic agent, sintilimab, with an anti-angiogenesis drug, anlotinib. The patient obtained remarkable tumor shrinkage and an 18.3-month-sustained remission period. This is an effective case of using immunotherapy and anti-angiogenesis agent in the first-line treatment of ATC. It demonstrates a feasible and novel therapeutic option for future treatment of ATC patients.

Pancreatic cancer (PC) was regarded as the 4th principal cause of cancer-related fatalities in the United States and patients usually suffered from severe nutrition deficiency, muscle wasting, as well as bone loss. In our previous research, we have found that PC-derived exosomes potentially initiate insulin resistance in skeletal muscle cells. However, the role of exosomes in the PC-related bone loss remains unknown.

The effect of PC-derived exosomes on the osteoclast differentiation and femoral bone structure in the orthotopic xenograft mouse model were investigated. MiRNA expression profiles were detected and a dual luciferase experiment was conducted to identify the direct target of miRNA.

Our data showed that PC-derived exosomes significantly induced osteoclast differentiation and increased expression of NFAT2, TRAP, CTSK and MMP-9. The bone volume fraction and trabecular thickness of femur significantly reduced in osteoporotic model. Microarray analyses and luciferase reporter assay showed that the process was, at least partially, mediated by the miR-125a-5p/TNFRSF1B signaling pathways.

According to the results, novel insights have been claimed the effect of exosomes derived from PC on bone deterioration and explained correlation between PC and cancer-related bone loss.

According to the results, novel insights have been claimed the effect of exosomes derived from PC on bone deterioration and explained correlation between PC and cancer-related bone loss.

Cisplatin resistance is one of the main reasons for treatment failure in ovarian cancer (OC). Here, the effects of LINC00184 on cisplatin-resistant OC were studied.

LINC00184, miR-1305 and CNTN1 expression in tissues from 70 OC patients was determined by qRT-PCR, in situ hybridization and Western blot. OC cell lines and OC cisplatin-resistant cell lines were cultured. Cells were transfected using Lipofectamine 2000 and treated with 100 nM cisplatin. Cell proliferation and apoptosis were researched by the CCK-8 assay and flow cytometry. A dual-luciferase reporter gene assay and RNA pull-down were performed to explore the relationship between two genes. LINC00184, miR-1305 and CNTN1 expression in cells was detected by qRT-PCR and Western blot. An in vivo experiment was conducted using nude mice. Ki67 and CNTN1 expression and apoptosis of xenograft tumors were investigated using immunohistochemistry and a TUNEL assay.

LINC00184 was up-regulated in OC clinical tissues and OC cells, especially in cisplatin-resistant OC patients and cells (

<0.01 or

<0.0001). LINC00184 overexpression significantly enhanced OC cell proliferation and cisplatin resistance, and inhibited OC cell apoptosis (

<0.05 or

<0.01). LINC00184 elevated CNTN1 expression via sponging miR-1305. LINC00184 overexpression markedly exacerbated the malignant phenotype of OC cells and cisplatin-resistant OC cells via the miR-1305/CNTN1 axis (

<0.01). Silencing of LINC00184 significantly suppressed OC cell growth and cisplatin resistance in vivo (

<0.01). LINC00184 silencing inhibited Ki67 and CNTN1 expression and promoted apoptosis of xenograft tumors. selleckchem CNTN1 overexpression promoted proliferation and cisplatin resistance, and reduced apoptosis of OC cells (

<0.05 or

<0.01).

LINC00184 promoted OC cell proliferation and cisplatin resistance by elevating CNTN1 expression via sponging miR-1305.

LINC00184 promoted OC cell proliferation and cisplatin resistance by elevating CNTN1 expression via sponging miR-1305.

Incidence of skin cancer is one of the global burdens of malignancies that increase each year, with melanoma being the deadliest one. Imaging-based automated skin cancer detection still remains challenging owing to variability in the skin lesions and limited standard dataset availability. Recent research indicates the potential of deep convolutional neural networks (CNN) in predicting outcomes from simple as well as highly complicated images. However, its implementation requires high-class computational facility, that is not feasible in low resource and remote areas of health care. There is potential in combining image and patient’s metadata, but the study is still lacking.

We want to develop malignant melanoma detection based on dermoscopic images and patient’s metadata using an artificial intelligence (AI) model that will work on low-resource devices.

We used an open-access dermatology repository of International Skin Imaging Collaboration (ISIC) Archive dataset consist of 23,801 biopsy-proven dermosche accuracy of classification in malignant melanoma detection even with limited data and is promising for development as a screening device in remote and low resources health care.

Special technical issues associated with the function and maintenance of medical devices arise in intensive care units (ICUs). This study explored the level of comfort of ICU staff in dealing with selected equipment, the factors that are associated with the staff’s ease of adaptation to new technologies, and the role of technical support staff.

This is a single-center cross-sectional questionnaire-based survey that was conducted in February 2018 and targeted nurses working in the ICUs of King Saud University Medical City in Riyadh, Saudi Arabia.

Among the 297 nurses who completed the survey, almost all of the respondents (99.3%) were aware of the ICU equipment preventive maintenance program. Most of the nurses had received training on how to use infusion pumps (96.2%), cardiac monitoring systems (78.0%), and cardiac defibrillation devices (73.9%). Sixty nurses (20.2%) indicated that at least one super user was available for at least one device. About half of the staff reported one device whose user manual was available.