Year: 2022
Type: article
Study design: Observational Study
Abstract: Systemic inflammation is believed to contribute to the distant recurrence of breast cancer. We evaluated serum samples obtained at diagnosis from 249 case:control pairs with stage II-III Her2-negative breast cancer with or without subsequent distant recurrence. Conditional logistic regression analysis, with models fit via maximum likelihood, were used to estimate hazard ratios (HRs) and test for associations of cytokines with distant recurrence risk. The only biomarker associated with a significantly increased distant recurrence risk when adjusted for multiple testing was the proinflammatory cytokine IL-6 (HR 1.37, 95% confidence intervals [CI] 1.15, 1.65, p = 0.0006). This prospective-retrospective study provides evidence indicating that higher levels of the cytokine IL-6 at diagnosis are associated with a significantly higher distant recurrence risk.
Source: npj Breast Cancer
Institutions: Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, Dana-Farber Cancer Institute, Mayo Clinic in Arizona, Memorial Sloan Kettering Cancer Center, Johns Hopkins University, Sidney Kimmel Comprehensive Cancer Center, Stanford Cancer Institute, Stanford University, Indiana University Melvin and Bren Simon Comprehensive Cancer Center
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,390
Awards: G103164349, G1319307446, G1445730172, G1623585774, ECOG-ACRIN Network Group Operations Center, MINORITY-BASED COMMUNITY ONCOLOGY PROGRAM, G2819266960, G3100437649, G3121473000, G3395714651, G3475623468, Network Lead Academic Participating Site: Memorial Sloan Kettering Cancer Center, G4941980078, G5136597011, G5417201949, G545695214, G580335595, G596445801, G6517678676, G6705915398, ECOG-ACRIN Network Group Statistics and Data Management Center, G6984334316, Johns Hopkins University NCTN Lead Academic Site Program, G8220656038, Alliance for Clinical Trials in Oncology Operations Center, G9000280145, G9000327439, Cancer Center Support Grant
OpenAlex ID: W4210875508
