Assessment of associations between clinical and immune microenvironmental factors and tumor mutation burden in resected nonsmall cell lung cancer by applying machine learning to whole-slide images.

BACKGROUND: It is unclear whether clinical factors and immune microenvironment (IME) factors are associated with tumor mutation burden (TMB) in patients with nonsmall cell lung cancer (NSCLC). MATERIALS AND METHODS: We assessed TMB in surgical tumor specimens by performing whole exome sequencing. IME profiles, including PD-L1 tumor proportion score (TPS), stromal CD8 tumor-infiltrating lymphocyte (TIL) density, and stromal Foxp3 TIL density, were quantified by digital pathology using a machine learning algorithm. To detect factors associated with TMB, clinical data, and IME factors were assessed by means of a multiple regression model. RESULTS: We analyzed tumors from 200 of the 246 surgically resected NSCLC patients between September 2014 and September 2015. Patient background: median age (range) 70 years (39-87); male 37.5%; smoker 27.5%; pathological stage (p-stage) I/II/III, 63.5/22.5/14.0%; histological type Ad/Sq, 77.0/23.0%; primary tumor location upper/lower, 58.5/41.5%; median PET SUV 7.5 (0.86-29.8); median serum CEA (sCEA) level 3.4 ng/mL (0.5-144.3); median serum CYFRA 21-1 (sCYFRA) level 1.2 ng/mL (1.0-38.0); median TMB 2.19/ Mb (0.12-64.38); median PD-L1 TPS 15.1% (0.09-77.4); median stromal CD8 TIL density 582.1/mm2 (120.0-4967.6);, and median stromal Foxp3 TIL density 183.7/mm2 (6.3-544.0). The multiple regression analysis identified three factors associated with higher TMB: smoking status: smoker, increase PET SUV, and sCEA level: >5 ng/mL (P < .001, P < .001, and P = .006, respectively). CONCLUSIONS: The IME factors assessed were not associated with TMB, but our findings showed that, in addition to smoking, PET SUV and sCEA levels may be independent predictors of TMB. TMB and IME factors are independent factors in resected NSCLC.

[Assessment of the Relationship between Hypnotics and Delirium Using the Japanese Adverse Drug Event Report (JADER) Database].

　The Japanese Adverse Drug Event Report (JADER) database was used to examine the risk of delirium and the time of its onset with various hypnotics, including 10 benzodiazepines (BZDs), 3 non-benzodiazepines (non-BZDs), 1 melatonin receptor agonist (MRTA), and 1 orexin receptor inhibitor (OXRI). Data entered in the JADER database between April 1, 2004 and February 1, 2016 were analyzed. The index for safety signal detection, the reporting odds ratio (ROR), was the odds ratio for adverse drug reaction reporting. The ROR for each drug was calculated; a signal was considered present if the lower bound of the 95% confidence interval of the ROR was greater than 1. The time to onset of delirium was calculated for drugs for which the number of days from the start of drug administration to delirium onset was reported. During the period examined in the analysis, a total of 621114 adverse drug reaction reports were seen, and the total number of delirium reports was 1417 after redundant cases were excluded. A signal was detected for 5 of the 10 BZDs and all 3 non-BZDs, with no signal for the MRTA and the OXRI. The time of delirium onset varied widely even for drugs classified as being in the same action duration group, and no correlation was seen for delirium onset time. The results of this study suggested that delirium risk varies depending on the hypnotic. Thus, hypnotics can be selected according to their delirium risk.