The development of α, β-unsaturated lactam-based andrographolide derivatives as anti-gastric cancer agents with the ability of inhibiting the ERK/c-Fos/Jun pathway.

Gastric cancer remains one of the global health threats for human beings. However, the therapeutic efficacy of the widely-used chemotherapy is usually limited due to the lack of specificity and the related toxicity. Only limited therapeutic agents were demonstrated to show selective and potent inhibitory activity to gastric cancer cells.

Relationship Between Sleep Time and Depressive Symptoms in Middle-Aged and Elderly Chinese: Mediating Role of Body Pain.

Objective: Existing research has yet to adequately examine the correlation between sleep time, body pain, and depressive symptoms. This study seeks to elucidate the interconnections between these three elements.

Methods: The study used 2020 CHARLS data for analysis.

A proteomic atlas of glypican-3 interacting partners: Identification of alpha-fetoprotein and other extracellular proteins as potential immunotherapy targets in liver cancer.

Antibody and cell-based therapeutics targeting cell surface receptors have emerged as a major class of immune therapeutics for treating cancer. However, the number of cell surface targets for cancer immunotherapy remains limited. Glypican-3 (GPC3) is a cell surface proteoglycan and an oncofetal antigen.

A multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.

Objectives: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators.

Methods: Tabular data with missing laboratory indicators were collected from 393 patients with ovarian cancer and 1951 control patients. The missing ovarian cancer laboratory indicator features were projected to the latent space to obtain a classification model using the representational learning classification model based on discriminative learning and mutual information coupled with feature projection significance score consistency and missing location estimation.

Clinical advances of mRNA vaccines for cancer immunotherapy.

The development of mRNA vaccines represents a significant advancement in cancer treatment, with more than 120 clinical trials to date demonstrating their potential across various malignancies, including lung, breast, prostate, melanoma, and more challenging cancers such as pancreatic and brain tumors. These vaccines work by encoding tumor-specific antigens and immune-stimulating molecules, effectively activating the immune system to target and eliminate cancer cells. Despite these promising advancements, significant challenges remain, particularly in achieving efficient delivery and precise regulation of the immune response.