Author Correction: Interaction between the microbiome and TP53 in human lung cancer.

Following publication of the original paper [1], the authors submitted a new Additional file 5 to replace the one containing formatting issues. The updated Additional file 5 is published in this correction.

Stress and subjective life expectancy: Cross-sectional and longitudinal associations in early adolescence.

Using data from a longitudinal study, the present study employed a latent class mover-stayer analytical strategy to examine both the cross-sectional and longitudinal (+33 months) relationship between membership of stress classes, and subjective life expectancy. Participants were from 21 High schools in Scotland and Northern Ireland. Data were collected in the first year of High school (mean age = 12.5 years), and at +33 months (fourth year, or school year 11). Sample 1 consisted of 1171 adolescents (40.82% females, 2.56% unreported) in Northern Ireland. Sample 2 consisted of 1059 adolescents (52.79% females, 1.32% unreported) in Scotland. Adolescents with the lowest levels of stress projected the highest subjective life expectancy scores. Longitudinal analyses were jumbled and not in keeping with cross-sectional results. More research may be needed on the trajectory of subjective life expectancy over time before it can be depended upon as a reliable outcome variable in adolescent development.

Interaction between the microbiome and TP53 in human lung cancer.

BACKGROUND: Lung cancer is the leading cancer diagnosis worldwide and the number one cause of cancer deaths. Exposure to cigarette smoke, the primary risk factor in lung cancer, reduces epithelial barrier integrity and increases susceptibility to infections. Herein, we hypothesize that somatic mutations together with cigarette smoke generate a dysbiotic microbiota that is associated with lung carcinogenesis. Using lung tissue from 33 controls and 143 cancer cases, we conduct 16S ribosomal RNA (rRNA) bacterial gene sequencing, with RNA-sequencing data from lung cancer cases in The Cancer Genome Atlas serving as the validation cohort. RESULTS: Overall, we demonstrate a lower alpha diversity in normal lung as compared to non-tumor adjacent or tumor tissue. In squamous cell carcinoma specifically, a separate group of taxa are identified, in which Acidovorax is enriched in smokers. Acidovorax temporans is identified within tumor sections by fluorescent in situ hybridization and confirmed by two separate 16S rRNA strategies. Further, these taxa, including Acidovorax, exhibit higher abundance among the subset of squamous cell carcinoma cases with TP53 mutations, an association not seen in adenocarcinomas. CONCLUSIONS: The results of this comprehensive study show both microbiome-gene and microbiome-exposure interactions in squamous cell carcinoma lung cancer tissue. Specifically, tumors harboring TP53 mutations, which can impair epithelial function, have a unique bacterial consortium that is higher in relative abundance in smoking-associated tumors of this type. Given the significant need for clinical diagnostic tools in lung cancer, this study may provide novel biomarkers for early detection.