A bioinformatics approach to identify a disulfidptosis-related gene signature for prognostic implication in colon adenocarcinoma.

Colon adenocarcinoma (COAD) is a type of cancer that arises from the glandular epithelial cells that produce mucus in the colon. COAD is influenced by various factors, including genetics, environment and lifestyle. The outcome of COAD is determined by the tumor stage, location, molecular characteristics and treatment.

Robotic natural orifice specimen extraction surgery versus conventional robotic resection for patients with colorectal neoplasms.

Background: Laparoscopic natural orifice specimen extraction surgery (NOSES) has been widely used in colorectal neoplasms. However, only a few studies have focused on robotic NOSES. This study compared the short-term clinical outcomes and long-term survival outcomes between robotic NOSES and conventional robotic resection (CRR) groups.

The impact of long-term care insurance in China on beneficiaries and caregivers: A systematic review.

Background: China's long-term care insurance (LTCI) policy has been minimally evaluated. This systematic review aimed to assess the impact of China's LTCI pilot on beneficiaries and their caregivers.

Methods: This review is based on a search of peer-reviewed studies in English (Embase, MEDLINE, Web of Science) and Chinese (China National Knowledge Infrastructure [CNKI], VIP, Wanfang) databases from January 2016 through July 2020, with all studies published in English or Chinese included.

Analysis of TYR Gene Pathogenic Variants in a Chinese Mongolian Family with Progressive Symmetric Erythrokeratoderma.

This study sought to analyse tyrosinase (TYR) pathogenic variants in a Chinese Mongolian family with progressive symmetric erythrokeratoderma (PSEK). We collected clinical data and peripheral blood DNA samples from the initial patient and his family members for polymerase chain reaction (PCR) amplification and whole-exome sequencing of the coding region of TYR. Genetic analysis showed a TYR insertion (c.

Curbing the COVID-19 pandemic with facility-based isolation of mild cases: a mathematical modeling study.

Background: In many countries, patients with mild coronavirus disease 2019 (COVID-19) are told to self-isolate at home, but imperfect compliance and shared living space with uninfected people limit the effectiveness of home-based isolation. We examine the impact of facility-based isolation compared to self-isolation at home on the continuing epidemic in the USA.

Methods: We developed a compartment model to simulate the dynamic transmission of COVID-19 and calibrated it to key epidemic measures in the USA from March to September 2020.