To enhance the penetration of P53 into tumor cells by fusion it with the cell penetrating peptide 9R. The fusion gene of 9R-p53 was cloned into the expression vector. The fusion protein, CPPs-P53, was expressed and purified. We detected the rate of cell growth inhibition and apoptosis by MTT and Annexin-V-FITC/PI double stained method respectively for measuring its effect on tumor cells. CPPs-P53 and P53 were successfully expressed and purified, the purity of both proteins reached up to 90%. MTT assay showed that the cell growth inhibition by CPPs-P53 was more efficient than P53, and the rate of cell growth inhibition is dose-dependent. The apoptosis experiment showed that P53 could induce apoptosis of tumor cells. Compared with the P53, CPPs-P53 had a more significant effect in inducing cell apoptosis (**P < 0.01). The CPPs-P53 shows more significant effects than P53 in inhibiting cell growth and inducing apoptosis on tumor cells.
Apoptosis ; Cell Line, Tumor ; Cell-Penetrating Peptides ; pharmacology ; Humans ; Tumor Suppressor Protein p53 ; pharmacology

Objective:To evaluate the diagnostic performance of radiomics model based on contrast-enhanced ultrasound(CEUS) in predicting pathological complete response(pCR) after neoadjuvant chemoradiotherapy(nCRT) in patients with locally advanced rectal cancer(LARC).Methods:One hundred and six patients with LARC who underwent total mesorectal excision after nCRT between April 2018 and April 2023 in the First Affiliated Hospital of Guangxi Medical University were retrospectively included, the patients were randomly divided into a training set of 63(14 pCR patients) and a validation set of 43(12 pCR patients) in a 6∶4 ratios. Radiomics features were extracted from the tumors′ region of interest of CEUS images based on PyRadiomics. Intra-class correlation coefficient(ICC), Mann-Whitney U test, and least absolute shrinkage and selection operator(LASSO) algorithms were used to reduce features dimension. Finally, 7 radiomics features relevanted to pCR were selected to construct an ultrasomics model using elastic network regression, based on the R language. A combined model was constructed by jointing clinical feature. The performance of the models was assessed with the area under the ROC curve(AUC). Results:The AUC of the ultrasomics model and the combined model was 0.695(95% CI=0.532-0.859) and 0.726(95% CI=0.584-0.868) respectively in the training set. The AUC of the ultrasomics model and the combined model was 0.763(95% CI=0.625-0.902) and 0.790(95% CI=0.653-0.928) respectively in the validation set. Both univariate and multivariate Logistic regression analyses showed that CA199( P<0.05) and ultrasomics score( P<0.001) could be an independent predictor of pCR after nCRT in patients with LARC. Conclusions:The CEUS-based radiomics scores has certain predictive value for whether LARC patients achieve pCR after nCRT, and may provide a non-invasive imaging biomarker for predicting LARC patients achieve pCR after nCRT.

As the core of cellular immunotherapy, T cells are important aspects of research and treatment of lung cancer. IL-6 is a costimulatory signal factor of T cells that is directly targeted by lung cancer stem cells. As a highly expressed cytokine in lung cancer cells, IL-6 plays an important role in variety of biological activities such as tumor occurrence, development, invasion and metastasis. This article reviews the research progress on IL-6 in lung cancer, including cancer development and progression, and the therapeutic sensitivity of lung cancer.
Disease Progression ; Humans ; Interleukin-6 ; metabolism ; Lung Neoplasms ; physiopathology ; Neoplastic Stem Cells ; pathology ; Research ; trends ; T-Lymphocytes ; metabolism