49 results about "Cervical lymph nodes" patented technology

With the goal of creating a combination vaccine against Shigella and other diarrheal pathogens we have constructed a prototype vaccine strain of Shigella flexneri 2a (SC608) that can serve as a vector for the expression and delivery of heterologous antigens to the mucosal immune system. SC608 is an asd derivative of SC602, a well-characterized vaccine strain, which has recently undergone several phase 1 and 2 trials for safety and immunogenicity. Using non-antibiotic asd-based plasmids, we have created novel constructs for the expression of antigens from enterotoxigenic E. coli (ETEC), including CFA / I (CfaB and CfaE) and the B-subunit from heat-labile enterotoxin (LTB) in Shigella vaccine strain SC608. Heterologous protein expression levels and cellular localization are critical to immune recognition and have been verified by immunoblot analysis. Following intranasal immunization (SC608(CFAI) and SC608(CFAI / LTB) of guinea pigs, serum IgG and IgA immune responses to both the Shigella LPS and ETEC antigens can be detected by ELISA. In addition, ELISPOT analysis for ASCs from cervical lymph nodes and spleen showed similar responses. All vaccine strains conferred high levels of protection against challenge with wild-type S. flexneri 2a using the Sereny test. Furthermore, serum from guinea pigs immunized with SC608 expressing CfaB and LTB contained antibodies capable of neutralizing the cytological affects of heat-labile toxin (HLT) on Chinese Hamster Ovary (CHO) cells. These initial experiments demonstrate the validity of a multivalent invasive Shigella strain that can serve as a vector for the delivery of pathogen-derived antigens.

The invention relates to the technical field of medical detection, in particular to a marker for thyroid cancer diagnosis, stratification and prognosis and application of the marker. The invention provides a marker for cervical lymph node metastasis of thyroid cancer. The marker comprises N-carbohydrate chain markers A2LF, A3F0L, A2F0L and A2F0GL. The expression quantity of the N-carbohydrate chain marker provided by the invention has obvious difference between a thyroid cancer patient with neck lymph node metastasis and a thyroid cancer patient without neck lymph node metastasis, can be used for judging the neck lymph node metastasis of the thyroid cancer, and has relatively high specificity, sensitivity and accuracy.

The invention relates to the technical field of medical detection, in particular to markers for diagnosis, stratification and prognosis of thyroid cancer and applications thereof. The present invention provides markers for thyroid nodules, which include a combination of one or more of the following N-sugar chain markers: CFa, A2Fa, A4G, A4S, A4FOS, A4L, A4E, A4FOE. The present invention also provides a marker for thyroid cancer, which includes a combination of one or more of the following N-sugar chain markers: CFa, A2Fa, A2L, A2GL. The expression levels of the N-sugar chain markers provided by the present invention are significantly different among healthy people, thyroid nodules, thyroid cancer and patients with cervical lymph node metastasis of thyroid cancer, and can be used for the diagnosis of thyroid nodules and the discrimination of benign and evil thyroid tumors , The discrimination of cervical lymph node metastasis of thyroid cancer has high specificity, sensitivity and accuracy.

The invention relates to a method for selecting features of ultrasound images of cervical lymph nodes, which relates to the technical field of image processing; the technical problem to be solved is to avoid the problem that the selection of features of ultrasound images of cervical lymph nodes by using a genetic algorithm and a discrete particle swarm optimization algorithm is easy to fall into a local extremum; The technical scheme adopted is as follows: the first step is to collect and extract the quantitative features of cervical lymph node images; the second step is to form a sample set; the third step is to design an extreme learning machine classifier; the fourth step is to learn and analyze the sample set Training; the fifth step, calculate the acceleration of each individual Step 6. Update their respective speeds The seventh step is to calculate the respective Boltzmann functions Step 8. Update their respective positions The ninth step, if the termination condition is met, then end and output the optimal position, that is, the optimal feature subset, otherwise the number of iterations is increased by 1, and return to the third step to continue the evolution of the population until the termination condition is met; the present invention is suitable for helping doctors select effective Value of ultrasound image features of cervical lymph nodes.

The present invention proposes miRNA biomarkers and detection kits for the diagnosis of cervical lymph node metastasis of papillary thyroid carcinoma, the miRNAs are hsa-miR-146b, hsa-miR-25-3p, hsa-miR-296- 5p, hsa-miR-222-3p, hsa-miR-21 and hsa-miR-95 combination; detection kit comprising primers capable of amplifying said miRNA biomarkers and probes capable of detecting said miRNA biomarkers . The six miRNAs of the present invention are stably expressed in serum, and they are combined as biomarkers for the diagnosis of lateral cervical lymph node metastasis of thyroid cancer, and the sensitivity and specificity of the diagnosis are significantly higher than those of a single miRNA. The present invention uses serum miRNA to diagnose cervical lymph node metastasis in patients with papillary thyroid carcinoma. Compared with traditional pathological biopsy, the invention has less trauma and is suitable for preoperative diagnosis of patients who are difficult to perform lymph node puncture due to anatomical location and other reasons. , and can be repeated during patient follow-up.