231) s of cancers and might be associated with cancer risk and disease outcome. |
232) rial DNA (mtDNA) might be associated with cancer risk and disease outcome. |
233) examine the association between childhood cancer risk and distance from the home add |
234) may modulate its gene functions and thus cancer risk and patient survival. |
235) 95% confidence intervals (CIs) for breast cancer risk for ADH1C (1-2) versus ADH1C ( |
236) have been reported to be associated with cancer risk in several types of cancer. |
237) hich is concordant to human MCS5A1 breast cancer risk locus, mediates susceptibility |
238) hydrogenase (ADH) 1C genotypes and breast cancer risk show conflicting results. |
239) ere significantly associated with bladder cancer risk. |
240) these variants are associated with a high cancer risk. |
241) (rs698) genotyping information and breast cancer risk. |
242) tional genetic variants in TYMS may alter cancer risk. |
243) e faith-based education to promote breast cancer screening among this growing popula |
244) e a 10-min web-based survey on colorectal cancer screening and diagnostic practices |
245) ationship between intention of undergoing cancer screening and information, motivati |
246) Although access to breast cancer screening and treatment is free in |
247) vely younger should be targeted in breast cancer screening efforts. |
248) e intervention programs to promote breast cancer screening in Arabic populations in |
249) g interventions aimed at promoting breast cancer screening in this population. |
250) ll as information is necessary to improve cancer screening rates. |
251) The intention of undergoing cancer screening showed a positive relatio |
252) ro-rich inequalities in dental visits and cancer screening uptake are also found in |
253) ltural factors are associated with breast cancer screening utilization, specifically |
254) evidence-based information on colorectal cancer screening with standard information |
255) Cancer stem cells are characterized by an |
256) Cancer stem cells represent a cell populat |
257) We propose that the central tenet of cancer stem cell definition lies exactly i |
258) gs to overcome the Nietzschean dilemma of cancer stem cell targeting: "what does not |
259) ibe network models potentially explaining cancer stem cell-like behavior. |
260) B ligand (RANKL) signaling helps putative cancer stem cells (CSC) to maintain their |
261) Inflammatory cytokines, components of cancer stem cells (CSCs) niche, could affe |
262) Actual properties of cancer stem cells depend on the individual |
263) We argue that the high evolvability of cancer stem cells is helped by their repea |
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