337 results about "Squamous carcinoma" patented technology

The invention belongs to the technical field of medical oncology, and particularly discloses an autoantibody joint detection ELISA kit for early screening of esophageal squamous carcinoma. The kit comprises a solid-phase carrier and a tumor-associated antigen coated on the solid-phase carrier, wherein the tumor-associated antigen consists of P53, TP53, CDKN2B and NPM1. Furthermore, the kit comprises sample diluent, a second antibody, second antibody diluent, positive control serum, negative control serum, developing solution, stop solution and washing solution. The ELISA kit is capable of effectively detecting the esophageal squamous carcinoma, especially the early esophageal squamous carcinoma, has detection sensitivity up to 88.8% and specificity up to 86.3%, can be used for the large-scale screening of asymptomatic groups in high-risk areas of the esophageal squamous carcinoma, and is beneficial for the esophageal squamous carcinoma screening and early discovery of the asymptomatichigh-risk groups.

Squamous carcinoma stem cells (SCSC) are identified. The cells can be prospectively isolated or identified from primary tumor samples, and are shown to possess the unique properties of cancer stem cells in functional assays for cancer stem cell self-renewal and differentiation, and to form unique histological microdomains useful in cancer diagnosis.

The invention discloses an esophageal squamous carcinoma radical postoperative patient prognosis prediction model construction method and device, and the method comprises the steps: obtaining clinical diagnosis and treatment data and follow-up visit survival data, carrying out multi-factor Cox regression analysis on patient characteristic variables, tumor pathology characteristic variables, treatment condition variables and test index variables according to follow-up visit survival data, carrying out variable screening by utilizing a step-by-step back algorithm and an Akaike information criterion, and carrying out variable screening on the screened candidate variables again to obtain modeling variables; and performing multi-factor Cox regression analysis on modeling variables and interaction items of every two modeling variables to construct a prognosis prediction model of a patient after the esophageal squamous carcinoma radical operation, wherein the prediction variables comprise age, gender, tumor primary position, T stage, lymph node detection number, tumor size, preoperative hemoglobin level and N stage treatment mode interaction items. According to the method, the prediction accuracy can be improved, the optimal benefit group of different treatment schemes is defined, and the prognosis evaluation precision of the esophageal squamous cell carcinoma is realized.