Data Resource Profile: thousands of circulating RNA profiles of pre-clinical samples from the Janus Serum Bank Cohort
Langseth, H.; Umu, S. U.; Bucher-Johannessen, C.; Babigumira, R.; Leithaug, M.; Lauritzen, M.; Vineis, P.; Ursin, G.; Lyle, R.; Rounge, T. B.
Show abstract
There is justified optimism regarding the use of miRNAs as early detection biomarkers of cancer. They are well characterized and are involved in all the hallmarks of cancer. Less is known about the role of most other non-coding RNA (ncRNAs) classes in normal physiology and tumorigenesis. The JanusRNA dataset consist of circulating RNA profiles of pre-clinical samples from 1631 cancer patients and 673 cancer-free controls. We studied eight cancer types including cancer of the: lung, colon, rectum, prostate, breast, testis, ovaries and gallbladder. JanusRNA has its origin from the large population-based Janus Serum Bank Cohort which consists of 318 628 Norwegians. The dataset combines information from the complete nationwide cancer registry, RNA sequencing profiles from 1631 cancer patients and 673 cancer-free controls, as well as data on lifestyle, anthropometry and biochemical measurements from national health surveys. The Janus Serum Bank is specifically suited for studies of early detection and risk biomarkers of cancer, since samples are collected nationwide over a large time span, pre-clinically and cancer occurs at different points in time after blood draw. We used a nested case-control design, selecting both cases and controls among the Janus cohort members. We restricted our selection to cases with at least one sample collected within 10 years prior to cancer diagnosis. We selected 673 cancer-free Janus participants for comparison of RNA levels with the cancer cases. The controls were frequency matched to the case group on sex, age at blood donation and date of blood donation. The JanusRNA dataset has been used to investigate the natural variation of circulating RNAs in cancer-free individuals. This data resource was also used in a study of variation in RNA expression associated with common traits like age, sex, smoking, BMI and physical activity in cancer-free individuals. RNA dynamics in lung and testicular carcinogenesis throughout a 10-year follow-up has also been studied.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Free testosterone and malignant melanoma risk in men: prospective analyses of testosterone and SHBG with 19 cancers in men and postmenopausal women UK Biobank 91%
- Prelude to Malignancy: A Gene Expression Signature in Normal Mammary Gland from Breast Cancer Patients Suggests Pre-tumorous Alterations and Is Associated with Adverse Outcomes 91%
- Associations of plasma omega-6 and omega-3 fatty acids with overall and 19 site-specific cancers: a population-based cohort study in UK Biobank 90%
Similar papers in this journal
- The novel microRNAs hsa-miR-nov7 and hsa-miR-nov3 are over-expressed in locally advanced breast cancer 92%
- Comprehensive cancer-oriented biobanking resource of human samples for studies of post-zygotic genetic variation involved in cancer predisposition 92%
- Single cell RNA sequencing of nc886, a non-coding RNA transcribed by RNA polymerase III, with a primer spike-in strategy 92%
Similar papers in this journal
- Pre-Diagnostic Circulating RNAs Networks Identify Testicular Germ Cell Tumour Susceptibility Genes 92%
- Genome-wide investigation of gene-cancer associations for the prediction of novel therapeutic targets in oncology 92%
- Clustering of RNA co-expression network identifies novel long non-coding RNA biomarkers in squamous cell carcinoma 92%
Similar papers in this journal
- Syngeneic model of carcinogen-induced tumor mimics basal/squamous, stromal-rich, and neuroendocrine molecular and immunological features of muscle-invasive bladder cancer 93%
- Detection of Somatic Copy Number Deletion of CDKN2A Gene for Clinical Practices Based on Discovery of A Base-Resolution Common Deletion Region 92%
- Extracellular vesicle molecular signatures characterize metastatic dynamicity in ovarian cancer 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.