scispace - formally typeset
Search or ask a question
JournalISSN: 0300-5038

IARC scientific publications 

CRC Press
About: IARC scientific publications is an academic journal. The journal publishes majorly in the area(s): Cancer & Population. It has an ISSN identifier of 0300-5038. Over the lifetime, 2644 publications have been published receiving 48053 citations.
Topics: Cancer, Population, DNA, Nitrosation, Nitrite


Papers
More filters
Journal Article
TL;DR: What do you do to start reading statistical methods in cancer research vol ii the design and analysis of cohort studies?
Abstract: What do you do to start reading statistical methods in cancer research vol ii the design and analysis of cohort studies? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this statistical methods in cancer research vol ii the design and analysis of cohort studies.

4,226 citations

Book ChapterDOI
TL;DR: For example, a simple summary of cancer mortality trends has been widely accepted as the most important measure of progress against cancer, since it reflects the impact of cancer on people, and has been considered less subject to distortion than incidence or survival as discussed by the authors.
Abstract: Time trends in cancer risk have often been summarised by the observation that mortality from cancers associated with tobacco is increasing rapidly, while mortality from all other cancers is either stable or falling slightly, this slight decline being dominated by the decrease in mortality from stomach cancer. Until recently, and with some variation between the sexes, this simple summary of cancer mortality trends would have been broadly correct for a number of developed countries, and it remains useful in dismissing claims of an impending and unexplained epidemic of cancer, but it does not apply to all countries, and in some there have recently been striking changes in the trends in mortality from cancers associated with tobacco. Cancer mortality has been widely accepted as the most important measure of progress against cancer, since it reflects the impact of cancer on people, and has been considered less subject to distortion than incidence or survival, although this is open to question. Cancer mortality also reflects trends in incidence and survival to a greater or lesser extent. There has been controversy, however, over how cancer mortality trends should be interpreted, as well as over which measures should be used to assess progress in cancer control. An overall summary of trends in mortality from all cancers combined is of limited value in assessing progress against cancer, in any case. Increases in a common lethal cancer may numerically dominate overall mortality trends, perhaps concealing declines in less common or less lethal cancers, while opposite trends in cancers of the lung and stomach, for example, might lead to an overall impression that little has changed. Further, up to a third of cancer patients will not die of cancer, and cancer mortality statistics do not reflect their experience at all. Cancer mortality trends only indirectly reflect trends in the number of people who are diagnosed with cancer in a given year, and those who do die of cancer in a given year may have been diagnosed more than 3 years previously, even though many die earlier: this blurs the responsiveness of routine cancer mortality statistics as a measure of recent progress, and alternative measures have been proposed. Trends in competing risks of death, especially at higher ages, may also complicate the interpretation of cancer mortality trends. The chance of developing cancer, and in that event, the chances of surviving it, are of direct interest to individuals.(ABSTRACT TRUNCATED AT 400 WORDS)

776 citations

Journal Article
TL;DR: A model for c- myc regulation is suggested that involves a trans-acting negative control element that might use as its target a highly conserved portion of the c-myc gene encoding two discrete transcriptional promoters.
Abstract: The characteristic chromosomal translocations that occur in certain human malignancies offer opportunities to understand how two gene systems can affect one another when they are accidentally juxtaposed. In the case of Burkitt's lymphoma, such a translocation joins the cellular oncogene, c-myc, to a region encoding one of the immunoglobulin genes. In at least one example, the coding sequence of the rearranged c-myc gene is identical to that of the normal gene, implying that the gene must be quantitatively, rather than qualitatively, altered in its expression if it is to play a role in transformation. One might expect to find the rearranged c-myc gene in a configuration that would allow it to take advantage of one of the known immunoglobulin promoters or enhancer elements. However, the rearranged c-myc gene is often placed so that it can utilize neither of these structures. Since the level of c-myc messenger RNA is often elevated in Burkitt cells, the translocation may lead to a deregulation of the c-myc gene. Further, since the normal allele in a Burkitt cell is often transcriptionally silent in the presence of a rearranged allele, a model for c-myc regulation is suggested that involves a trans-acting negative control element that might use as its target a highly conserved portion of the c-myc gene encoding two discrete transcriptional promoters.

497 citations

Network Information
Related Journals (5)
Carcinogenesis
12.6K papers, 684.8K citations
85% related
Journal of the National Cancer Institute
22.1K papers, 1.4M citations
82% related
International Journal of Cancer
26.5K papers, 1.5M citations
81% related
Cancer Letters
15.3K papers, 640.3K citations
78% related
Environmental Health Perspectives
14.7K papers, 1M citations
77% related
Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20142
201154
20101
200422
2002130
200123