{"title":"1. Challenges in Systems Epidemiology in Cancer","authors":"E. Lund","doi":"10.18261/9788215041193-2020-01","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-01","url":null,"abstract":"Systems epidemiology is a new research discipline that seeks to integrate pathways analyses into observational study designs to improve the understanding of biological processes in human organisms as time-dependent changes or trajectories of functional genomics. This chapter guides the reader on the different aspects of the book. The aim is to improve the understanding of the structures of data from complex study designs, data handling, new statistical methods and the interpretation of the results.","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124987114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"10. Hypotheses of Carcinogenesis—The AtavisticTheory","authors":"Lill-ToveRasmussen Busund","doi":"10.18261/9788215041193-2020-10","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-10","url":null,"abstract":"A deep comprehension of what cancer is as a biological phenomenon is lacking. Several theories have been proposed and many of them do not necessarily contradict each other. One of the theories is the intriguing hypothesis that a cancer cell may be triggered by mutations, but is basically a self-activated throwback to an ancestral cell phenotype running its ancient core functionality by preserving its vital functions, such as survival and uncontrolled proliferation.","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115242730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"4. Practical and Ethical Issues in Establishinga Collection of Normal Breast Tissue Biopsies—Part of the NOWACPost-Genome Cohort","authors":"Sanda Krum-Hansen, K. Olsen","doi":"10.18261/9788215041193-2020-04","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-04","url":null,"abstract":"For tissue-based studies of breast cancer, getting access to truly normal, well-annotated tissue can be a challenge. To address that need, we collected 368 breast tissue biopsies and buffered blood samples from healthy postmenopausal women. Volunteers were part of the Norwegian Women and Cancer (NOWAC) Postgenome cohort, recruited through the national mammography screening program. The NOWAC normal breast tissue biobank for gene expression analysis will provide a correct basis for comparison in case-control studies.","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130591695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"2. The Beauty of Complex Designs","authors":"J. Arnes, L. A. Bongo","doi":"10.18261/9788215041193-2020-02","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-02","url":null,"abstract":"The increasing use of omics data in epidemiology enables many novel study designs, but also introduces challenges for data analysis. We describe the possibilities for systems epidemiological designs in the Norwegian Women and Cancer (NOWAC) study and show how the complexity of NOWAC enables many beautiful new study designs. We discuss the challenges of implementing designs and analyzing data. Finally, we propose a systems architecture for swift design and exploration of epidemiological studies. epidemiological analysis, and exploration of hypotheses. We present a high-level, conceptual architecture for this missing system.","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132042592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"First Author Nota","authors":"","doi":"10.18261/9788215041193-2020-13","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-13","url":null,"abstract":"","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114583645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"11. The Immuno-Carcinogen Theory of Cancer—TheLifelong Dynamic Interface Between the Immune System and the Carcinogen-Driven Carcinogenesis","authors":"E. Lund","doi":"10.18261/9788215041193-2020-11","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-11","url":null,"abstract":"Over the decades, many theories or models of carcinogenesis have been proposed. Based on the systems epidemiology research on gene expression from immune cells in peripheral blood, the concept of the dynamic interface between the immune system and the carcinogen driven carcinogenesis is put forward. This com-bines traditional exposure research in cancer epidemiology with upcoming knowledge of the immunological response to cancer, from clones of cancer cells to clones of immune cells.","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114511309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"6. Statistics of Sparsely Sampled Curves","authors":"M. Holden, L. Holden","doi":"10.18261/9788215041193-2020-06","DOIUrl":"https://doi.org/10.18261/9788215041193-2020-06","url":null,"abstract":"We develop new statistical methods for analyzing sparsely sampled curves that vary in time. The typical dataset is differences in log gene expressions from case-control pairs for a large number of genes sampled relative to time of diagnosis. We focus on weak signals in the gene expression in many genes instead of strong signals in a few genes. The methods are based on moving windows in time, hypothesis testing, dimension reductions and randomization of the time to observa-tion.","PeriodicalId":386489,"journal":{"name":"Advancing Systems Epidemiology in Cancer","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}