DIEGO HERNANDEZ^1,*, CHIH-YUAN CHENG^1,2, KARLA HERNANDEZ-VILLAFUERTE¹, MICHAEL SCHLANDER^1,2

Oncology Research, Vol.30, No.4, pp. 173-185, 2022, DOI:10.32604/or.2022.027262 - 31 January 2023

Abstract Lung cancer is the most common cancer type worldwide and has the highest and second highest mortality rate for men and women respectively in Germany. Yet, the role of comorbid illnesses in lung cancer patient prognosis is still debated. We analyzed administrative claims data from one of the largest statutory health insurance (SHI) funds in Germany, covering close to 9 million people (11% of the national population); observation period was from 2005 to 2019. Lung cancer patients and their concomitant diseases were identified by ICD-10-GM codes. Comorbidities were classified according to the Charlson Comorbidity Index… More >

Shuna Peng¹, Xiaohong Luo¹, Shiyu Liang¹, Fengning Deng¹, Yuning Liu², Hong Zeng^1,*, Xuesong Yang^3,*

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 711-724, 2022, DOI:10.32604/ijmhp.2022.020556 - 27 July 2022

Abstract Background: The coronavirus (COVID-19) outbreak in 2019 triggered psychological and emotional responses. This research investigates the psychological status and emotional problems of those who sought psychological assistance during the epidemic period by calling a mental health hotline. Methods: This study aims to combine qualitative and quantitative research. Descriptive analysis was used for undertaking qualitative research. We analyzed the data from group 1 (n = 706), in which the people used the mental health hotline from 25 January 2020 to 23 June 2020. A self-designed questionnaire was developed in accordance with the classification and summarized items… More >

KATARINA BARALIć^1,*, KATARINA ŽIVANčEVIć¹, DRAGICA BoŽIĆ¹, DANYEL JENNEN², ALEKSANDRA BUHA DJORDJEVIC¹, EVICA ANTONIJEVIć MILJAKOVIć¹, DANIJELA ĐUKIć-ĆOSIć¹

BIOCELL, Vol.46, No.2, pp. 519-533, 2022, DOI:10.32604/biocell.2022.018271 - 20 October 2021

Abstract This in silico toxicogenomic study aims to explore the relationship between phthalates and bisphenol A (BPA) co-exposure and obesity, as well as its comorbid conditions, in order to construct a possible set of genomic biomarkers. The Comparative Toxicogenomics Database (CTD; http://ctd.mdibl.org) was used as the main data mining tool, along with GeneMania (https://genemania.org), ToppGene Suite (https://toppgene.cchmc.org) and DisGeNET (http://www.disgenet.org). Among the phthalates, bis(2-ethylhexyl) phthalate (DEHP) and dibutyl phthalate (DBP) were chosen as the most frequently curated phthalates in CTD, which also share similar mechanisms of toxicity. DEHP, DBP and BPA interacted with 84, 90 and 194… More >