ライフサイエンスコーパス: cancer risk

1 5) was positively associated with colorectal cancer risk.

2 h repair genes, is associated with increased cancer risk.

3 ciation between hypertension and endometrial cancer risk.

4 002) were associated with greater colorectal cancer risk.

5 60 and the HIF1A SNP rs142179458 with breast cancer risk.

6 ne, was inversely associated with pancreatic cancer risk.

7 (FFDM) images as predictors of future breast cancer risk.

8 rately strongly associated with ER(+) breast cancer risk.

9 cticides was associated with elevated breast cancer risk.

10 ically to look at supplement use relative to cancer risk.

11 t at night may contribute to invasive breast cancer risk.

12 e polymorphisms (SNP) associated with breast cancer risk.

13 lites, were associated inversely with breast cancer risk.

14 individual chemotherapeutic agents and solid cancer risk.

15 ncy hCG concentrations and subsequent breast cancer risk.

16 es was significantly associated with bladder cancer risk.

17 l-5'-phosphate (PLP) has been linked to lung cancer risk.

18 significantly associated with overall breast cancer risk.

19 thalin, dieldrin, and parathion use and lung cancer risk.

20 as a strategy to reduce HER2-positive breast cancer risk.

21 wood-burning stoves or fireplaces on breast cancer risk.

22 ency of CAs in blood lymphocytes and bladder cancer risk.

23 plicates excess adipose tissue in increasing cancer risk.

24 individual insecticide exposures and breast cancer risk.

25 s between proinflammatory cytokines and lung cancer risk.

26 e endometrial, colorectal, brain and ovarian cancer risk.

27 intestinal metaplasia (IM) influence gastric cancer risk.

28 sociated strongly and positively with breast cancer risk.

29 arbon metabolism-related B vitamins and lung cancer risk.

30 ze, was associated with a greater colorectal cancer risk.

31 l and whole grains in relation to colorectal cancer risk.

32 regnancy serum hCG concentrations and breast cancer risk.

33 lacement therapy is demonstrated to increase cancer risk.

34 ogen regulation, leading to increased breast cancer risk.

35 lore the role of shift work timing on breast cancer risk.

36 ic loci have yet to be identified for breast cancer risk.

37 n obese populations may help to reduce their cancer risk.

38 ion of stem cell function markedly increases cancer risk.

39 ncentrations were not associated with breast cancer risk.

40 dense breasts, who experience higher breast cancer risk.

41 mon mechanisms underlying breast and ovarian cancer risk.

42 eton in human rectal mucosa and so influence cancer risk.

43 isms that connect these changes to increased cancer risk.

44 er (mainly hormone receptor-negative) breast cancer risk.

45 dent genomic regions associated with bladder cancer risk.

46 h dietary factors might increase or decrease cancer risk.

47 terized by bone marrow failure and increased cancer risk.

48 dentify diet-related exposures that modulate cancer risk.

49 in significance that are not associated with cancer risk.

50 2 may be potential susceptible loci for lung cancer risk.

51 n observed in blood cells and linked to lung cancer risk.

52 background variation on obesity, aging, and cancer risk.

53 ween an index of vitamin B6 levels with lung cancer risk.

54 ations in 25 genes associated with inherited cancer risk.

55 ecific regulation and differentially impacts cancer risk.

56 lspring to identify new SNPs associated with cancer risk.

57 between rotating night-shift work and breast cancer risk.

58 at LT were associated with increased nonskin cancer risk.

59 mportant window of susceptibility for breast cancer risk.

60 amined the role of adolescent diet in breast cancer risk.

61 these variations may be linked to different cancer risks.

62 Moreover, it may reduce cancer risks.

63 gnificant cobenefit in reducing HCHO-related cancer risks.

64 and in some cases misunderstanding of future cancer risks.

65 to firmly establish their effects on breast cancer risks.

66 lites, 3 were associated with overall breast cancer risk (621 cases): caprate (10:0), a saturated fat

67 particular, explain much of the present-day cancer risk across life, including in humans.

68 tiles of dietary quality indices and ovarian cancer risk, adjusting for potential confounders.

69 g extends our previous report of an elevated cancer risk after HF compared with controls, and calls f

70 scores associated with decreasing colorectal cancer risk (all P's for trend </= .003).

71 Identification of an endometrial cancer risk allele within a member of the PI3K/AKT signa

72 e polymorphism (rs16260) linked to increased cancer risk alters the secondary structure of the paRNA,

73 fat percentage) measurements with colorectal cancer risk among 472,526 men and women followed for 5.6

74 Monitoring cancer risk among HIV-infected people in the modern anti

75 differences in lung, gastric, and colorectal cancer risk among Japanese men of working age (25-64 yea

76 here was an almost two-fold increase in lung cancer risk among men in the highest categories of vitam

77 ssociated with a 30% to 40% increase in lung cancer risk among men.

78 individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight

79 n use was associated with reduced pancreatic cancer risk among participants with diabetes (relative r

80 The <3-month cancer risk among patients with pericarditis was 2.7%, a

81 folate, and B12 was not associated with lung cancer risk among women.

82 r adults and children 4-30 months of age and cancer risks among adult consumers.

83 ave been shown to be associated with overall cancer risk and aging.

84 itD)-deficiency is associated with increased cancer risk and chronic kidney disease.

85 populations with different levels of gastric cancer risk and in different clinical scenarios is uncle

86 , long-term CCB use does not increase breast cancer risk and long-term treatment with ACEis may confe

87 Increased breast cancer risk and mortality has been associated with obesi

88 is a key contributory factor associated with cancer risk and mortality, including in dose-response as

89 nce suggests that obesity negatively affects cancer risk and outcome.

90 ing the relationship between alcohol use and cancer risk and outcomes.

91 The association between obesity and breast cancer risk and prognosis is well established in estroge

92 to risk prediction models to stratify breast cancer risk and promote risk-based screening and targete

93 Posttransplant cancer risk and survival rates of these patients are unk

94 n the TCPTP pathway are associated with lung cancer risk and survival.

95 the prevalence of Lynch syndrome, associated cancer risks and pathogenicity of several variants in th

96 Hereditary cancer syndromes infer high cancer risks and require intensive cancer surveillance,

97 We sought to quantify the second cancer risks and to investigate the impact of family his

98 t the influence of excessive alcohol use and cancer risks and treatment complications, including clar

99 (selected due to associations with increased cancer risk) and rare variants were stratified into clas

100 ng of the disease, inaccurate perceptions of cancer risk, and an unnecessary psychological burden.

101 assess the impact of carcinogen exposures on cancer risk, and evaluate the potential impact of cancer

102 elvic inflammatory disease (PID) and ovarian cancer risk are few and inconsistent.

103 never smokers, light and never smokers with cancer risks as high as those within heavy smokers could

104 nce of these disparities in gastrointestinal cancer risk, as well as approaches that apply precision

105 foreseen as an essential prognostic tool for cancer risk assessment and the quantification of intratu

106 Applying the MPFs in cancer risk assessment suggested that 45.4 (6% of all) c

107 isk of breast cancer according to the Breast Cancer Risk Assessment Tool (Gail score).

108 results and provide improved information for cancer risk assessment.

109 s were used to estimate odds ratios for lung cancer risk associated with concentrations of interleuki

110 low-up Study (1992-2010) to investigate skin cancer risk associated with history of severe sunburns a

111 Controversy exists about breast cancer risk associated with long-term use of calcium cha

112 ancer genes and provides estimates of breast cancer risk associated with pathogenic variants in these

113 The data describing cancer risks associated with Lynch syndrome are variable

114 This review provides insights into the cancer risks associated with PAH-contaminated soils and

115 fective for degrading PAHs and estimated the cancer risks associated with PAH-contaminated soils.

116 Most cancer risk-associated single nucleotide polymorphisms (

117 From 10,673 SNPs linked with 996 cancer risk-associated SNPs identified in previous GWAS

118 mon genetic variation conferring gallbladder cancer risk at genome-wide significance.

119 loci that are associated with overall breast cancer risk at P < 5 x 10(-8).

120 These findings provide estimates of cancer risk based on BRCA1 and BRCA2 mutation carrier st

121 and 7 genes had associations with pancreatic cancer risk, based on the sequence-kernel association te

122 ort, women with new-onset AF had an elevated cancer risk beyond 1 year of AF diagnosis.

123 failure syndromes associated with increased cancer risk, but the basis by which they do so remains u

124 insecticides are related to increased breast cancer risk, but the evidence is inconsistent.

125 stently associated with a greater colorectal cancer risk, but this relationship is weaker among women

126 erall, our results suggest that WD increases cancer risk by FXR inactivation, leading to BA deregulat

127 s suggested that renewing tissues may reduce cancer risk by partitioning the dividing cell population

128 in 43 genes of this TCPTP pathway with lung cancer risk by using summary data of six published genom

129 images was positively associated with breast cancer risk by using the computer assisted methods and B

130 in 206 mRNA splicing-related genes with lung cancer risk by using the summary data from six published

131 models demonstrate substantial variation in cancer risks, by at least 20 orders of magnitude, depend

132 ACEi use was associated with reduced breast cancer risk: Compared with 1-<2 years of use, the adjust

133 Breast cancer risk conferred by pathogenic variants in non-BRCA

134 basis of published estimates of the lifetime cancer risks conferred by pathogenic germline mutations

135 Contralateral breast cancer risk decreased significantly with increasing tamo

136 An increased breast cancer risk during adulthood has been linked to estrogen

137 women is associated with a lower endometrial cancer risk, especially among women with obesity.

138 idity of obesity, has been shown to increase cancer risk, especially colorectal cancer.

139 ted single nucleotide polymorphism-based PGT cancer risk estimates (colorectal, 24%; prostate, 24%; b

140 Men who received elevated PGT prostate cancer risk estimates changed their vitamin and suppleme

141 mer PGT single nucleotide polymorphism-based cancer risk estimates did not significantly change their

142 months, customers who received elevated PGT cancer risk estimates were not significantly more likely

143 tion carriers requires accurate, prospective cancer risk estimates.

144 ndividuals who met guidelines for hereditary cancer risk evaluation.

145 in NSAIDs was not associated with pancreatic cancer risk, even after considering several latency expo

146 v) and 95% confidence interval (CI) for each cancer risk factor by demographic group.

147 en with breast cancer have at least 1 breast cancer risk factor routinely documented at the time of m

148 though obesity is an established endometrial cancer risk factor, information about the influence of w

149 ms of overnutrition, a confirmed independent cancer risk factor, remain poorly understood.

150 men with breast cancer had at least 1 breast cancer risk factor.

151 and meta-analysis to evaluate prevalence of cancer risk factors among Chinese PLWHA based on 102 art

152 reast cancer associated with clinical breast cancer risk factors among premenopausal and postmenopaus

153 Many established breast cancer risk factors are used in clinical risk prediction

154 ormance of SNP88 alone and with other breast cancer risk factors assessed using the Tyrer-Cuzick (TC)

155 Subtype heterogeneity for breast cancer risk factors has been suspected, potentially refl

156 As the prevalence of these cancer risk factors increases, clinical and public healt

157 patterns, and to determine whether avoidable cancer risk factors influence signatures produced by end

158 croorganisms is directly influenced by known cancer risk factors such as lifestyle, diet and inflamma

159 The prevalence of major cancer risk factors was high among PLWHA in China, sugge

160 ass index, physical inactivity, other breast cancer risk factors, and caloric intake controlled for (

161 quential adjustment for baseline covariates, cancer risk factors, and HIV-specific variables to inves

162 Other covariates (breast cancer risk factors, clinical risk factors for osteoporo

163 nts in TEX15 and FANCD2 are potential breast cancer risk factors, warranting further investigations i

164 ne subtype heterogeneity across known breast cancer risk factors, we conducted a case-control analysi

165 density (MD) is one of the strongest breast cancer risk factors.

166 ral characteristics identified as colorectal cancer risk factors.

167 mples and extensive data on potential breast cancer risk factors.

168 risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers.

169 ted multivariable models, the decreased lung cancer risk for Hispanic compared with NHW women attenua

170 We observed a higher lung cancer risk for participants with elevated concentration

171 We observed a significant trend of cancer risk for smoking in subsites from the cecum (HR =

172 ing to genetic risk based on lifetime breast cancer risk from birth, as estimated by BOADICEA (Breast

173 Estimates of familial cancer risk from population-based studies are essential

174 ly, variants in the BRIP1 and RAD51C ovarian cancer risk genes; the MRE11A, RAD50, and NBN MRN comple

175 Prostate cancer risk grouping, androgen deprivation, race, age-ad

176 smokers (9.0 million) at highest 5-year lung cancer risk (>/=1.9%) was estimated to avert 20% more de

177 ion between allergic conditions and prostate cancer risk has been investigated for many years.

178 , but an association between bereavement and cancer risk has not been established.

179 I) and apolipoprotein B-100 (apo B-100), and cancer risk have been sparse, to our knowledge.

180 were associated with lower digestive system cancer risk (hazard ratio [HR], 0.74 for >/=63.0 vs </=8

181 Vasectomy was not associated with prostate cancer risk (hazard ratio [HR], 1.05; 95% CI, 0.96 to 1.

182 4 DQIs associated inversely with colorectal cancer risk; higher scores associated with decreasing co

183 t loss had a significantly lower endometrial cancer risk (HR, 0.71; 95% CI, 0.54 to 0.95).

184 ificant protective association with prostate cancer risk (HR: 0.65; 95% CI: 0.49, 0.85).

185 esidence was associated with a higher breast cancer risk [HR=1.11 (95% CI: 1.01, 1.22)]; the risk inc

186 PAr has been defined as a marker of lung cancer risk in a prospective cohort study, but analysis

187 l healthy dietary pattern may reduce ovarian cancer risk in African-American women, and particularly

188 ing Index (AHEI)-2010-in relation to ovarian cancer risk in African-American women.

189 383CC was not associated with overall breast cancer risk in European (OR = 1.014, 95% CI = 0.969-1.06

190 In this population-based study of cancer risk in families fulfilling the Amsterdam criteri

191 We aimed to examine cancer risk in HIV-infected people in the USA as compare

192 contain genes related to immune function or cancer risk in humans that exhibit concordant signatures

193 the S47 variant may contribute to increased cancer risk in individuals of African descent, and our f

194 anthropogenic origin, and may interface with cancer risk in numerous ways, broadly classifiable as th

195 ndex (BMI) is inversely associated with lung cancer risk in observational studies, even though it inc

196 ndothelial dysfunction may reduce colorectal cancer risk in patients with obesity and type 2 diabetes

197 tion of the IRF6 promoter may be a marker of cancer risk in patients with VLS.

198 nal measurements of immune function and lung-cancer risk in people living with HIV.

199 ndardised incidence ratios (SIRs) to measure cancer risk in people with HIV compared with the USA gen

200 the influence of weight loss on endometrial cancer risk in postmenopausal women is limited.

201 cancer before enrollment, we examined breast cancer risk in relation to the women's and their husband

202 s to Stop Hypertension score) and colorectal cancer risk in the Multiethnic Cohort.

203 Vitamin E increased prostate cancer risk in the Selenium and Vitamin E Cancer Prevent

204 n the one-carbon metabolism pathway and lung cancer risk in the Vitamins and Lifestyle (VITAL) cohort

205 o assess the contribution of this variant to cancer risk in these populations.

206 g an urgent need for interventions to reduce cancer risk in this high-risk group.

207 le is known about cutaneous disease and skin cancer risk in this OTR population.

208 athogens with total cancer and site-specific cancer risk in unadjusted and multivariable-adjusted mod

209 ssociation between serum iron and colorectal cancer risk in women.

210 ation between alcohol consumption and breast cancer risk in younger women, overall and by family hist

211 nce for ipsilateral and contralateral breast cancer risks in older survivors of breast cancer, and su

212 ell as the need for further investigation of cancer risks in patients with MMR mutations.

213 We analysed cancer risks in patients with urinary tract stones but s

214 associated with total, lung, and colorectal cancer risks in women.

215 ls for tissues that dominate human radiation cancer risk, including lung, colon, breast, liver, and s

216 previously shown to be associated with lung cancer risk, including sex, variables related to smoking

217 Breast cancer risk increased with increasing number of first- a

218 res among turkey consumers, and we estimated cancer risk increases from consuming turkey treated with

219 Cancer risk is an important concern for galactic cosmic

220 erone replacement therapy (TRT) and prostate cancer risk is controversial.

221 Purpose Genetic testing for breast cancer risk is evolving rapidly, with growing use of mul

222 ion between ambient air pollution and breast cancer risk is inconsistent.

223 Breast cancer risk is influenced by rare coding variants in sus

224 s the theory that the overwhelming driver of cancer risk is mutations.

225 The excess cancer risk is related to intensity and duration of immu

226 ith PID, the association of PID with ovarian cancer risk is still somewhat uncertain and requires fur

227 Breast cancer risk is strongly associated with an intergenic re

228 An H. pylori constituent that augments cancer risk is the strain-specific cag pathogenicity isl

229 -acting insulin analogs and increased breast cancer risk is uncertain, particularly with the short fo

230 d mammography) for women at increased breast cancer risk (January 1, 2003, to January 1, 2014) were e

231 children from single As exposure (Life time Cancer Risk, LCR>1x10(-4)).

232 hat are strong candidates for driving breast cancer risk (lead SNP rs2787486 (OR = 0.92; CI 0.90-0.94

233 ted soils to concentrations below the target cancer risk levels recommended by the USEPA.

234 offer proof of concept for identifying novel cancer risk loci from next-generation sequencing data, w

235 g the relationship between this response and cancer risk may better inform safe levels of chronic low

236 efined grains, and desserts) with colorectal cancer risk may differ according to the presence of F nu

237 We expanded and updated our colon cancer risk model to evaluate colorectal cancer (CRC) an

238 n was found between TRT and overall prostate cancer risk (odds ratio [OR], 1.03; 95% CI, 0.90 to 1.17

239 cylurate were not associated with pancreatic cancer risk (odds ratio, 1.08; 95% CI, 0.72-1.61; Ptrend

240 r of tissue-specific stem cell divisions and cancer risk of the same tissue suggests that bad luck ha

241 Serum ferritin was not associated with cancer risk or cancer death.

242 o association between rs2735383CC and breast cancer risk (OR = 1.214, 95% CI = 0.936-1.574, P = 0.144

243 y, it was suggested that tissue variation in cancer risk originates from differences in the number of

244 We observed no significant difference in cancer risk over successive time periods.

245 l consumption was not associated with breast cancer risk overall (for intake of >/=10 g/day vs. nondr

246 Results SNP88 was predictive of breast cancer risk overall (interquartile range odds ratio [IQ-

247 ciation was observed between PID and ovarian cancer risk overall (pOR = 0.99, 95% CI: 0.83, 1.19); ho

248 d the association of vasectomy with prostate cancer risk overall, by tumor subtype, and for death due

249 served no association between hCG and breast cancer risk, overall [Quartile 4 vs. 1, OR, 1.14; 95% co

250 and fish (quartiled) intake with endometrial cancer risk, overall and by body mass index (BMI; weight

251 Purpose Several lung cancer risk prediction models have been developed, but n

252 ute to improved ER-negative and BRCA1 breast cancer risk prediction.

253 on-based studies are essential components of cancer risk prediction.

254 appeared greater in women with lower breast cancer risk profiles; variation across population groups

255 ective effect of physical activity on breast cancer risk, recurrence, and mortality, but the underlyi

256 iables to investigate potential mediators of cancer risk reduction with immediate cART.

257 fications aimed at breast density and breast cancer risk reduction.

258 ) increase the complexity of studying breast cancer risk related to racial/ethnic identity.

259 However, their relationship to bladder cancer risk remains to be elucidated.

260 it of surveillance colonoscopy on colorectal cancer risk remains unclear.

261 erolemia or any metabolic disorder increases cancer risk remains unknown.

262 , much of the genetic contribution to breast cancer risk remains unknown.

263 We observed a decrease in breast cancer risk restricted to the year after treatment initi

264 cides overall was not associated with breast cancer risk, risk was elevated among women who had ever

265 ons were associated with a higher colorectal cancer risk (RRcontinuously per doubling of omentin conc

266 lyze in depth two regulatory variants-breast cancer risk SNP rs11055880 and leukemia risk-associated

267 A four-fold increased breast cancer risk (standardized incidence ratio [SIR] = 4.0; 9

268 rmal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia.

269 ds) was associated with a higher endometrial cancer risk than was stable weight, especially among wom

270 x (HI) were >1, and Cr (VI) exhibited higher cancer risks than that of Cd in the exposed workers.

271 xic and genotoxic carcinogens have different cancer risks, the objective of this study was to develop

272 ts have been speculated to increase prostate cancer risk, their impact on early-stage tumors remains

273 ntifying medications with potential to alter cancer risks through gene expression connectivity mappin

274 The cumulative ovarian cancer risk to age 80 years was 44% (95% CI, 36%-53%) fo

275 The cumulative breast cancer risk to age 80 years was 72% (95% CI, 65%-79%) fo

276 The committee comprised 3 workgroups: Cancer Risk, Transplant, and Procedure and Preparation.

277 between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases a

278 ciations of LOC with ovarian and endometrial cancer risks using unconditional logistic regression, wi

279 all 180 treated soils had postbioremediation cancer risk values that exceeded the U.S. Environmental

280 y relative risk (RR) for developing prostate cancer risk was 1.04 (95%CI: 0.92-1.17) for asthma, and

281 Breast cancer risk was higher if mutations were located outside

282 ociated with overall CRC, but proximal colon cancer risk was higher in the proinflammatory-change DII

283 Mean Ni cancer risk was higher than the threshold value of 10(-6

284 Lung cancer risk was inversely related to duration of exposur

285 Increased breast cancer risk was observed for higher lifetime alcohol int

286 The association of PAr with lung cancer risk was similar in both genders but slightly str

287 Cancer risk was statistically reduced in 89% of treated

288 ss the association between LDIR exposure and cancer risk, we conducted a nested case-control study an

289 nd non-BRCA2 predisposition genes and breast cancer risk were estimated in a case-control analysis of

290 No significant associations with lung cancer risk were found for other 150 variants in 98 gene

291 as gingivalis and Tannerella forsythia), and cancer risk were investigated.

292 and colleagues present an expanded model for cancer risk, which they claim demonstrates the relative

293 25 to 76 years of age with increased breast cancer risk who underwent CE spectral mammography and MR

294 5% CI: 1.03, 2.49; P-trend = 0.006) and lung cancer risk with HDL cholesterol (HR: 0.59; 95% CI: 0.38

295 significant associations included colorectal cancer risk with HDL cholesterol (HR: 0.63; 95% CI; 0.41

296 ith different categories of increased breast cancer risk with multiple follow-up rounds in an academi

297 les within diets are associated with reduced cancer risk, with diet during early life (age <8 years)

298 onmental variation and human activity impact cancer risk, with potential implications for species eco

299 al age, was associated with higher pediatric cancer risk, with variations across types of cancer.

300 reast density is a key determinant of breast cancer risk, younger ages may be the more critical perio