{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T14:49:10Z","timestamp":1789656550833,"version":"4.0.1"},"reference-count":59,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"13","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCO"],"published-print":{"date-parts":[[2013,5,1]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Fatigue is a common adverse effect of cancer treatment and may persist for years after treatment completion. However, risk factors for post-treatment fatigue have not been determined. On the basis of studies suggesting an inflammatory basis for fatigue, this study tested the hypothesis that expression-regulating polymorphisms in proinflammatory cytokine genes would predict post-treatment fatigue in breast cancer survivors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients and Methods<\/jats:title>\n                    <jats:p>Women diagnosed with early-stage breast cancer (n = 171) completed questionnaires to assess fatigue and other behavioral symptoms (ie, depressive symptoms, memory complaints, sleep disturbance) and provided blood for genotyping within 3 months after primary treatment. Genomic DNA was extracted from peripheral-blood leukocytes and assayed for single nucleotide polymorphisms (SNPs) in the promoter regions of three cytokine genes: ILB \u2212511 C&gt;T (rs16944), IL6 \u2212174 G&gt;C (rs1800795), and TNF \u2212308 G&gt;A (rs1800629). An additive genetic risk score was computed by summing the number of high-expression alleles (zero, one, or two) across all three polymorphisms.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The genetic risk index was significantly associated with fatigue; as the number of high-expression alleles increased, so did self-reported fatigue severity (P = .002). Analyses of individual SNPs showed that TNF \u2212308 and IL6 \u2212174 were independently associated with fatigue (P = .032). The genetic risk index was also associated with depressive symptoms (P = .007) and memory complaints (P = .016).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>These findings further implicate inflammatory processes as contributors to cancer-related fatigue and suggest a new strategy for identifying and treating patients at risk for this symptom based on genetic variants in proinflammatory cytokine genes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1200\/jco.2012.46.2143","type":"journal-article","created":{"date-parts":[[2013,3,25]],"date-time":"2013-03-25T21:22:45Z","timestamp":1364246565000},"page":"1656-1661","source":"Crossref","is-referenced-by-count":107,"title":["Cytokine Genetic Variations and Fatigue Among Patients With Breast Cancer"],"prefix":"10.1200","volume":"31","author":[{"given":"Julienne 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