Ohshima, M. | bioRxiv Science

bioRxiv2020

Interleukin-11 is a Marker for Both Cancer- and Inflammation-Associated Fibroblasts that Contribute to Colorectal Cancer Progression

Interleukin (IL)-11 is a member of the IL-6 family of cytokines and involved in multiple cellular responses, including tumor development. However, the origin and functions of IL-11-producing (IL-11+) cells are not fully understood. To characterize IL-11+ cells in vivo, we generated Il11 reporter mice. IL-11+ cells appeared in the colon of three murine tumor models, and a murine acute colitis model. Il11ra1 or Il11 deletion attenuated the development of colitis-associated colorectal cancer. IL-11+ cells expressed fibroblast markers, and genes associated with cell proliferation and tissue repair. IL-11 induced STAT3 phosphorylation in colonic fibroblasts, suggesting the activation of IL-11+ fibroblasts. Analysis using the human cancer database revealed that genes enriched in IL-11+ fibroblasts were elevated in human colorectal cancer, and correlated with reduced disease-free survival. Together, our results suggested that tumor cells induced IL-11+ fibroblasts, and that a feed-forward loop between IL-11 and IL-11+ fibroblasts might contribute to tumor development.

cancer biology↗

bioRxiv2019

Novel method to determine diagnosis-defining refraction points

Diagnosis of a certain disease generally relies on definitions established by professional medical societies and comprise the patients history, physical examination, and test results. These include physical compositions such as body mass index (BMI), and laboratory tests such as serum creatinine and albumin in urine samples. In general, laboratory tests are based on mathematical methods, e.g. defining critical values from the mean {+/-} k{sigma} of a population, where k is a natural number and the standard deviation is {sigma} (\"mean {+/-} k{sigma}-method\"). In most cases k is defined as 2, leading to reference ranges defining 95% of test results as normal. However, this method mostly depends on a normal distribution of values.\n\nHere we applied a novel method (\"SoFR-method\") based on data sorting to define refraction points, which carry informative value as diagnostic criteria. Applying the SoFR-method, standard measures such as critical BMI-values are categorized by equal robustness as by the mean {+/-} k{sigma}-method. However, the SoFR-method showed higher validity when analyzing non-normalized values such as creatinine and albumin, as well as hepatocyte growth factor (HGF) and hemoglobin in a novel Perioscreen assay in saliva of diabetic and non-diabetic patients.\n\nTaken together, we defined a novel method based on data sorting of test results from patients to effectively define refraction points which might guide more accurately clinical diagnoses and define relevant thresholds.

epidemiology↗