Biomarkers in cancer epidemiology: an integrative approach

Boffetta, Paolo

doi:10.1093/carcin/bgp269

Cited by 39 publications

(25 citation statements)

References 44 publications

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“…Consequently, the identification of new serum markers enabling early detection of cancer has a high level of priority [18]. The term tumor marker defines that substance, molecule, or molecular profile that can indicate the presence of cancer, detectable in the patient sera or other body fluids.…”

Section: Discussionmentioning

confidence: 99%

Ovarian tumor marker HE4 is differently expressed during the phases of the menstrual cycle in healthy young women

et al. 2010

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The objective of the present study was to investigate in healthy young women the fluctuations in serum concentration of human epididymal secretory protein human epididymis-specific protein 4 (HE4) and CA125 during the phases of the menstrual cycle and the correlation between HE4 and CA125 values and age. Forty women with regular menstrual cycles were included in the study. Pelvic and transvaginal ultrasound were performed in order to exclude ovarian pathologies. Blood samples were collected at follicular (FP), ovulatory (OP), and luteal (LP) phases of the hormonal cycle. The values of HE4 (expressed as picomoles per liter) observed were (mean ± SEM) 39.1 ± 1.1 (FP), 45.3 ± 1.19 (OP), and 42.0 ± 1.3 (LP). The difference between FP and OP was statistically significant (p = 0.0002). By contrast, serum CA125 levels (expressed as units per milliliter) were 14.35 ± 0.66 (FP), 13.15 ± 0.54 (OP), and 13.70 ± 0.54 (LP), respectively. The levels of HE4 observed in serum samples of women below 35 years were 37.5 ± 1.28 in the FP, 46.6 ± 1.4 in the OP, and 42.8 ± 1.49 in the LP. In this group, a statistically significant difference was observed in the FP compared with the OP (p < 0.0001), whereas no statistically significant difference was observed during the different hormonal phases in the group of women over 35. In conclusion, the correct interpretation of laboratory data is essential to define a threshold of normality, and for what concerns HE4 levels, the menstrual cycle phase-dependent variability appears indicated in the interpretation of the results.

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Section: Discussionmentioning

confidence: 99%

Ovarian tumor marker HE4 is differently expressed during the phases of the menstrual cycle in healthy young women

et al. 2010

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“…The identi fication of previously unknown proteins involved in disease pathogenesis will enable the development of new diagnostic tests and investigation of protein targets for drug development (14,15). Besides that, this concept also has important implications for pre dicting disease rates and consequently, for all three levels of disease prevention.…”

Section: Applications Of Genetic Epidemiology In Preventionmentioning

confidence: 99%

Gene-Environment Interaction: A Genetic-Epidemiological Approach

Gazibara¹

2010

Journal of Medical Biochemistry

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Kratak sadr`aj: Klasi~na epidemiologija se bavi izu~a vanjem distribucije i determinanti bolesti i faktora koji doprinose njenoj pojavi s ciljem da se bolest prevenira. Kako genetski tako i faktori sredine mogu doprineti tome da osoba bude podlo`na datoj bolesti, ali se jo{ uvek ne dovoljno zna o njihovim inter akci jama i uticajima na rizik od oboljenja. Genetska epidemi ologija inkorporira koncepte i metode razliitih disciplina, uklju~uju}i epidemiologiju, ge netiku, bio statis tiku, klini~ku i molekularnu medicinu, {to ima klju~nu ulo gu u razu me vanju zajedni~kih uticaja ge netskih i sre dinskih faktora u procesu nastanka bolesti. Izu~avanje interakcije gen-sredi na zauzima centralno me sto u genetskoj epidemiologiji. Defini{e se kao »razli~it efekat izlo`enosti faktorima sredine za pojavu bolesti u oso ba sa razli~itim geno tipovima«, ili, ekvivalentno, kao »razli ~it uticaj genotipa na rizik od bolesti u osoba sa razli~itom izlo`eno{}u faktorima sredine«. Opi sano je pet biolo{ki pri hvatljivih modela koji povezuju geno tipove i izlo `enost faktorima sredine u smislu njihovih zajed ni~kih efekata na rizik od bolesti. Prou~avanje interakcije gen-sre dina do pri no si pove}anju ta~nosti i pre ciznosti procene ulo ge genet skih i faktora sredine, po seb no kod zdravstvenih porema }a ja ~ija etiologija nije dovoljno poznata. Genetska epi de mio logija igra zna~ajnu ulogu na razli~itim nivoima pre vencije bolesti.

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“…Meanwhile, this CBG needs to be further confirmed through the gene signal pathway analysis which may show the CBG specific functions in its relative cancer-related genes. The gene signal pathway analysis is processed through the relationship analysis of the proteins encoded and expressed by CBG and other cancer-related genes (Berger et al 2007;Alm and Arkin 2003;Emilsson et al 2008;Lin et al 2010;Ang et al 2010;Won et al 2010;Sahmel et al 2010;Boffetta 2010).…”

Section: Introductionmentioning

confidence: 99%

Integration of gene chip and topological network techniques to screen a candidate biomarker gene (CBG) for predication of the source water carcinogenesis risks on mouse Mus musculus

Sun

Cheng

et al. 2011

Ecotoxicology

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Screening of a candidate biomarker gene (CBG) to predicate the carcinogenesis risks in the Yangtze River source of drinking water in Nanjing area (YZR-SDW-NJ) on mouse (Mus musculus) was conducted in this research. The effects of YZR-SDW-NJ on the genomic transcriptional expression levels were measured by the GeneChip(®) Mouse Genome and data treated by the GO database analysis. The 298 genes discovered as the differently expressed genes (DEGs) were down-regulated and their values were ≤-1.5-fold. Of the 298 DEGs, 25 were cancer-related genes selected as the seed genes to build a topological network map with Genes2Networks software, only 7 of them occurred at the constructed map. Smad2 gene was at the constructed map center and could be identified as a candidate biomarker gene (CBG) primarily which involves the genesis and development of colorectal, leukemia, lung and prostate cancers directly. Analysis of the gene signal pathway further approved that smad2 gene had the relationships closely to other 16 cancer-related genes and could be used as a CBG to indicate the carcinogenic risks in YZR-SDW-NJ. The data suggest that integration of gene chip and network techniques may be a way effectively to screen a CBG. And the parameter values for further judgment of the CBG through signal pathway relationship analysis also will be discussed.

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Biomarkers in cancer epidemiology: an integrative approach

Cited by 39 publications

References 44 publications

Ovarian tumor marker HE4 is differently expressed during the phases of the menstrual cycle in healthy young women

Ovarian tumor marker HE4 is differently expressed during the phases of the menstrual cycle in healthy young women

Gene-Environment Interaction: A Genetic-Epidemiological Approach

Integration of gene chip and topological network techniques to screen a candidate biomarker gene (CBG) for predication of the source water carcinogenesis risks on mouse Mus musculus

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