Development and validation of a multifactorial nomogram to predict 48 month mortality in decompensated heart failure.

Background And Aims: As the incidence of heart failure (HF) increases, the need for practical tools to evaluate the long-term prognosis in these patients remains critical. Our study aimed to develop a 48 month prediction model for all-cause mortality in decompensated HF patients using available clinical indicators.

Methods: HF patients (n = 503), 60 years or older, were divided into a training cohort (n = 402) and a validation cohort (n = 101).

The Combined Use of Orf Virus and PAK4 Inhibitor Exerts Anti-tumor Effect in Breast Cancer.

The parapoxvirus Orf virus (ORFV) has long been recognized as one of the valuable vectors in researches of oncolytic virus. In order to develop a potential therapeutic strategy for breast cancer based on the oncolytic virotherapy ORFV, firstly we explore the oncolytic effects of ORFV. Our research showed that ORFV exerts anti-tumor effects by inducing breast cancer cell G2/M phase arrest and cell apoptosis.

Preclinical efficacy and involvement of mTOR signaling in the mechanism of Orf virus against nasopharyngeal carcinoma cells.

Aims: Orf virus (ORFV) is a parapoxvirus causing contagious ecthyma in sheep and goats. With inhibitory role of ORFV reported by previous studies, ORFV can be a candidate of oncolytic virus. However, few studies reported the application and mechanism of ORFV in nasopharyngeal carcinoma (NPC).

Identification of in vitro and in vivo oncolytic effect in colorectal cancer cells by Orf virus strain NA1/11.

Orf virus (ORFV) is a favorable oncolytic viral carrier in research, and ORFV strain NZ2 has been revealed to have antitumor effects in animal models mediated by immunoregulation profile. However, the antitumor effects triggered by the ORFV in colorectal cancer (CRC) cells is poorly characterized. The in vivo and in vitro roles of ORFV in CRC were determined using western blotting, colony formation, CCK‑8, wound scratch assay, qPCR, and animal models.

Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.

Background: Gastric cancer (GC) is disease with a high morbidity. The purpose of this study was to identify genes essential to GC development in patients and to reveal the underlying mechanisms of progression.

Methods: Bioinformatics analysis is an effective tool for discovering essential genes of different disease states.