To implement personalized medicine, we established a large-scale patient cohort, BioBank Japan, in 2003. BioBank Japan contains DNA, serum, and clinical information derived from approximately 200,000 ...patients with 47 diseases. Serum and clinical information were collected annually until 2012.
We analyzed clinical information of participants at enrollment, including age, sex, body mass index, hypertension, and smoking and drinking status, across 47 diseases, and compared the results with the Japanese database on Patient Survey and National Health and Nutrition Survey. We conducted multivariate logistic regression analysis, adjusting for sex and age, to assess the association between family history and disease development.
Distribution of age at enrollment reflected the typical age of disease onset. Analysis of the clinical information revealed strong associations between smoking and chronic obstructive pulmonary disease, drinking and esophageal cancer, high body mass index and metabolic disease, and hypertension and cardiovascular disease. Logistic regression analysis showed that individuals with a family history of keloid exhibited a higher odds ratio than those without a family history, highlighting the strong impact of host genetic factor(s) on disease onset.
Cross-sectional analysis of the clinical information of participants at enrollment revealed characteristics of the present cohort. Analysis of family history revealed the impact of host genetic factors on each disease. BioBank Japan, by publicly distributing DNA, serum, and clinical information, could be a fundamental infrastructure for the implementation of personalized medicine.
•The BioBank Japan Project (BBJ) annually collected clinical information.•Analysis of the clinical information at enrollment characterized the BBJ cohort.•Analysis of family history revealed impacts of host genetic factors on the diseases.
We report genome-wide association studies for hematological and biochemical traits from approximately 14,700 Japanese individuals. We identified 60 associations for 8 hematological traits and 29 ...associations for 12 biochemical traits at genome-wide significance levels (P < 5 x 10(-8)). Of these, 46 associations were new to this study and 43 replicated previous reports. We compared these associated loci with those reported in similar GWAS in European populations. When the minor allele frequency was >10% in the Japanese population, 32 (94.1%) and 31 (91.2%) of the 34 hematological loci previously reported to be associated in a European population were replicated with P-values less than 0.05 and 0.01, respectively, and 31 (73.8%) and 27 (64.3%) of the 42 European biochemical loci were replicated.
Recent advances in next-generation sequencing technologies have led to significant improvements in cancer genomic research and cancer treatment. Through the use of comprehensive cancer genome data, ...precision medicine has become more of a reality; albeit, at present, only ~10-15% of patients can benefit from current genomic testing practices. Improvements in cancer genome analyses have contributed to a better understanding of antitumor immunity and have provided solutions for targeting highly cancer-specific neoantigens generated from somatic mutations in individual patients. Since then, numerous studies have demonstrated the importance of neoantigens and neoantigen-reactive T cells in the tumor microenvironment and how their presence influences the beneficial responses associated with various cancer immunotherapies, including immune checkpoint inhibitor therapy. Indeed, cancer immunotherapies that explicitly target neoantigens specific to individual cancer patients would lead to the ultimate form of cancer precision medicine. For this to be realized, several issues would need to be overcome, including the accurate prediction and selection of neoantigens that can induce cytotoxic T cells in individual patients. The precise prediction of target neoantigens will likely accelerate the development of personalized immunotherapy including cancer vaccines and T-cell receptor-engineered T-cell therapy for patients with cancer.
With the significant advances in cancer genomics using next-generation sequencing technologies, genomic and molecular profiling-based precision medicine is used as a part of routine clinical test for ...guiding and selecting the most appropriate treatments for individual cancer patients. Although many molecular-targeted therapies for a number of actionable genomic alterations have been developed, the clinical application of such information is still limited to a small proportion of cancer patients. In this review, we summarize the current status of personalized drug selection based on genomic and molecular profiling and highlight the challenges how we can further utilize the individual genomic information. Cancer immunotherapies, including immune checkpoint inhibitors, would be one of the potential approaches to apply the results of genomic sequencing most effectively. Highly cancer-specific antigens derived from somatic mutations, the so-called neoantigens, occurring in individual cancers have been in focus recently. Cancer immunotherapies, which target neoantigens, could lead to a precise treatment for cancer patients, despite the challenge in accurately predicting neoantigens that can induce cytotoxic T cells in individual patients. Precise prediction of neoantigens should accelerate the development of personalized immunotherapy including cancer vaccines and T-cell receptor-engineered T-cell therapy for a broader range of cancer patients.
Colorectal cancer is the third most common cancer worldwide, and in Japan, it is estimated that about 10% of men and 8% of women will be diagnosed with colorectal cancer during their lifetime.
We ...focused on 5864 participants (3699 men and 2165 women) who had colorectal cancer and were registered with BioBank Japan (BBJ) between April 2003 and March 2008. Characteristics of colon and rectal cancer patients were calculated separately. Among the enrolled patients registered in BBJ within 90 days after diagnosis, we also calculated the 5-year cumulative and relative survival rates, and estimated the effect of lifestyle factors on all-cause mortality.
Our participants included younger men than those in the Patient Survey and the Cancer Registry Japan. In more than 95% of cases the histological type was adenocarcinoma both in colon and rectal cancer. Rectal cancer patients tended to eat more meat and less green leafy vegetables compared with colon cancer patients. The 5-year cumulative survival rate was 73.0% (95% CI; 70.1%–75.7%) and the 5-year relative survival rate was 80.6% (77.4%–83.6%), respectively, for colon cancer. For rectal cancer, the rates were 73.3% (69.1%–77.0%) and 80.9% (76.3%–85.0%), in the same order. Lifestyle factors such as consuming less green leafy vegetables, being underweight, smoking, not consuming alcoholic beverages and being physically inactive were found to be related to poor survival.
We described lifestyle characteristics of colorectal cancer patients in BBJ and examined the impacts on subsequent all-cause mortality.
•More than 95% were adenocarcinoma both in colon and rectal cancer.•Rectal cancer patients ate more meat and less green vegetables than colon cancer.•Eating green vegetables and drinking alcohol moderately decreased the mortality risk.
Image analysis was performed on the analytical objects constructed by X-ray computed tomography images of coke with anthracite as low swelling and softening-melting coal to evaluate the pore ...structure three-dimensionally. The sphericity of the pores was calculated based on the volume and surface area of the pores. Tracers were inserted into all anthracite particles to distinguish coke matrices derived from anthracite from those derived from coking coal. This is the first success in identifying coke matrices derived from coking coal and those derived from other carbon source. The sphericity of pores in the surrounding area of the coke matrix derived from anthracite and the area without coke matrix derived from anthracite was extracted from the analytical object. The surrounding area of the coke matrix derived from anthracite contained more low-sphericity pores compared to the area without coke matrix derived from anthracite. This may be due to the free expansion of the coking coal in the surrounding area of the anthracite since the anthracite does not soften or expand during carbonization. The coking coal expanded excessively to fill the voids between the particles, resulting in the bubbles bursting and generating connected pores.
Recent genome‐wide association studies reported strong and reproducible associations of multiple genetic variants in a large “gene‐desert” region of chromosome 8q24 with susceptibility to prostate ...cancer (PC). However, the causative or functional variants of these 8q24 loci and their biological mechanisms associated with PC susceptibility remain unclear and should be investigated. Here, focusing on its most centromeric region (so‐called Region 2: Chr8: 128.14‐128.28 Mb) among the multiple PC loci on 8q24, we performed fine mapping and re‐sequencing of this critical region and identified SNPs (single nucleotide polymorphisms) between rs1456315 and rs7463708 (chr8: 128,173,119‐128,173,237 bp) to be most significantly associated with PC susceptibility (P = 2.00 × 10−24, OR = 1.74, 95% confidence interval = 1.56–1.93). Importantly, we show that this region was transcribed as a ∼13 kb intron‐less long non‐coding RNA (ncRNA), termed PRNCR1 (prostate cancer non‐coding RNA 1), and PRNCR1 expression was upregulated in some of the PC cells as well as precursor lesion prostatic intraepithelial neoplasia. Knockdown of PRNCR1 by siRNA attenuated the viability of PC cells and the transactivation activity of androgen receptor, which indicates that PRNCR1 could be involved in prostate carcinogenesis possibly through androgen receptor activity. These findings could provide a new insight in understanding the pathogenesis of genetic factors for PC susceptibility and prostate carcinogenesis. (Cancer Sci 2011; 102: 245–252)
Idiopathic pulmonary fibrosis (IPF) is a representative disease that causes fibrosis of the lungs. Its pathogenesis is thought to be characterized by sustained injury to alveolar epithelial cells and ...the resultant abnormal tissue repair, but it has not been fully elucidated. IPF is currently difficult to cure and is known to follow a chronic progressive course, with the patient's survival period estimated at about three years. The disease occasionally exacerbates acutely, leading to a fatal outcome. In recent years, it has become evident that lipid metabolism is involved in the fibrosis of lungs, and various reports have been made at the cellular level as well as at the organic level. The balance among eicosanoids, sphingolipids, and lipid composition has been reported to be involved in fibrosis, with particularly close attention being paid to a bioactive lipid "lysophosphatidic acid (LPA)" and its pathway. LPA signals are found in a wide variety of cells, including alveolar epithelial cells, vascular endothelial cells, and fibroblasts, and have been reported to intensify pulmonary fibrosis via LPA receptors. For instance, in alveolar epithelial cells, LPA signals reportedly induce mitochondrial dysfunction, leading to epithelial damage, or induce the transcription of profibrotic cytokines. Based on these mechanisms, LPA receptor inhibitors and the metabolic enzymes involved in LPA formation are now considered targets for developing novel means of IPF treatment. Advances in basic research on the relationships between fibrosis and lipid metabolism are opening the path to new therapies targeting lipid metabolism in the treatment of IPF.
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