Impact of the COVID-19 pandemic on the primary lung cancer screening program in Akita Prefecture, a region with the fastest aging population in Japan.

AIM: Akita Prefecture has the largest proportion of older inhabitants and the highest cancer mortality rate in Japan. Lung cancer is one of the biggest killers, and early detection is critical. Chest X-ray examinations are the main screening method for lung cancer; however, the COVID-19 pandemic has affected the screening system. Here, we evaluate how COVID-19 has affected lung cancer screening in Akita Prefecture. METHODS: Using the Akita General Health Corporation database, the average annual number of chest X-ray screening tests, close examinations and lung cancer diagnoses (stratified by sex and age) was evaluated during 2016-2019, and compared with the 2020 values. Furthermore, data on lung cancer registrations from 2018 to 2020 were obtained from the Collaborative Akita Prefecture Hospital-Based Cancer Registration System and analyzed. RESULTS: The average annual number of screening tests, close examinations and lung cancer diagnoses declined (by >50%) between 2016 to 2019 and 2020, especially among older people (aged ≥65 years). Furthermore, by stage, the number of patients with early-stage lung cancer (stage 0-I) decreased, and the number with advanced-stage cancer (stage IV) increased. CONCLUSIONS: The COVID-19 pandemic reduced lung cancer screening participation, especially among the older adult population in Akita Prefecture, resulting in a decrease in lung cancer diagnoses through screening. This might have reduced the number of early-stage cancer registrations. It is necessary to improve health education among the public regarding the importance of chest X-ray screening. Geriatr Gerontol Int 2023; 23: 622-627.

A prospective compound screening contest identified broader inhibitors for Sirtuin 1.

Potential inhibitors of a target biomolecule, NAD-dependent deacetylase Sirtuin 1, were identified by a contest-based approach, in which participants were asked to propose a prioritized list of 400 compounds from a designated compound library containing 2.5 million compounds using in silico methods and scoring. Our aim was to identify target enzyme inhibitors and to benchmark computer-aided drug discovery methods under the same experimental conditions. Collecting compound lists derived from various methods is advantageous for aggregating compounds with structurally diversified properties compared with the use of a single method. The inhibitory action on Sirtuin 1 of approximately half of the proposed compounds was experimentally accessed. Ultimately, seven structurally diverse compounds were identified.