2010
DOI: 10.1001/jama.2010.80
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Age- and Sex-Specific Genomic Profiles in Non–Small Cell Lung Cancer

Abstract: Among a cohort of patients with NSCLC, subgroups defined by oncogenic pathway activation profiles were associated with recurrence-free survival. These findings require validation in independent patient data sets.

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Cited by 57 publications
(39 citation statements)
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“…Moreover association with sex of some phosphatidylcholines and sphingomyelins became nominally significant in both the univariate and the multivariate regression analysis only after including HDL cholesterol (Supplementary Table Men 2 High alcohol intake was defined as consuming more than 4 C2-units for men and 2 C2-units for women 3 Number of prevalent diseases including cancer, chronic disease, any form of diabetes, gallstones, heart attack, inflammatory bowel disease and neuropathy P values and regression coefficients (ß) derived from a linear regression analysis of log-transformed metabolite concentrations measured in 165 study participants (101 men, 64 women). All models were also additionally adjusted for age, waist-to-hip ratio, HDL cholesterol and smoking status 1 p adj denotes the p value adjusted for multiple testing by the Westfall and Young Step-Down MaxT procedure with 10,000 permutations 2 Δ denotes relative sex difference, defined as the difference in mean concentration between men and women, divided by the mean concentration in men …”
Section: Single-metabolite Analysismentioning
confidence: 99%
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“…Moreover association with sex of some phosphatidylcholines and sphingomyelins became nominally significant in both the univariate and the multivariate regression analysis only after including HDL cholesterol (Supplementary Table Men 2 High alcohol intake was defined as consuming more than 4 C2-units for men and 2 C2-units for women 3 Number of prevalent diseases including cancer, chronic disease, any form of diabetes, gallstones, heart attack, inflammatory bowel disease and neuropathy P values and regression coefficients (ß) derived from a linear regression analysis of log-transformed metabolite concentrations measured in 165 study participants (101 men, 64 women). All models were also additionally adjusted for age, waist-to-hip ratio, HDL cholesterol and smoking status 1 p adj denotes the p value adjusted for multiple testing by the Westfall and Young Step-Down MaxT procedure with 10,000 permutations 2 Δ denotes relative sex difference, defined as the difference in mean concentration between men and women, divided by the mean concentration in men …”
Section: Single-metabolite Analysismentioning
confidence: 99%
“…Sex is known to influence the manifestation of many phenotypes in humans, including diseases [1][2][3]. Correspondingly, either sex stratification or sex adjustment is commonly advised in the epidemiological and molecular analysis of such traits [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Microarray studies of human tumor samples and bioinformatics meta-analyses continue to provide a wealth of information regarding genes differentially expressed in various types of cancer [12], [13], [14], [15], [16]. For liver cancer, more than 300 microarray studies have been published [17] identifying genes deregulated in HCC, although some of the published studies provide more transparent data than others.…”
Section: Introductionmentioning
confidence: 99%
“…For example, systemic lupus erythematosus (SLE), myasthenia gravis (MG), and rheumatoid arthritis (RA) are more common in women than men[36]. Gender specific differences in gene profiles of tumor samples from lung cancer patients have also been reported[37]. Also, IFN-γ secretion from mouse NKT cells is influenced by estradiol[38].…”
Section: Introductionmentioning
confidence: 99%