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@ARTICLE{Wang:293318,
      author       = {S. E. Wang and V. Viallon and M. Lee and N. Dimou and F.
                      Hamilton and C. Biessy and T. O'Mara and M. Kyrgiou and E.
                      J. Crosbie and T. Truong and G. Severi and R. Kaaks$^*$ and
                      R. T. Fortner$^*$ and M. B. Schulze and B. Bendinelli and S.
                      Sabina and R. Tumino and C. Sacerdote and S. Panico and M.
                      Crous-Bou and M.-J. Sánchez and A. Aizpurua and D. R.
                      Palacios and M. Guevara and R. C. Travis and K. K. Tsilidis
                      and A. Heath and J. Yarmolinsky and S. Rinaldi and M. J.
                      Gunter and L. Dossus},
      title        = {{C}irculating inflammatory and immune response proteins and
                      endometrial cancer risk: a nested case-control study and
                      {M}endelian randomization analyses.},
      journal      = {EBioMedicine},
      volume       = {108},
      issn         = {2352-3964},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2024-01871},
      pages        = {105341},
      year         = {2024},
      abstract     = {Inflammation and immune dysregulation are hypothesized
                      contributors to endometrial carcinogenesis; however, the
                      precise underlying mechanisms remain unclear.We measured
                      pre-diagnostically 152 plasma protein biomarkers in 624
                      endometrial cancer case-control pairs nested within the
                      European Prospective Investigation into Cancer and Nutrition
                      (EPIC) cohort. Odds ratios (ORs) were estimated using
                      conditional logistic regression, accounting for confounding
                      and multiple comparisons. Proteins considered as associated
                      with endometrial cancer risk were further tested in a
                      two-sample Mendelian randomization (MR) analysis using
                      summary data from the UK Biobank (n = 52,363) and the
                      Endometrial Cancer Association Consortium (12,270 cases and
                      46,126 controls).In the EPIC nested case-control study, IL-6
                      [OR per NPX (doubling of concentration) = 1.28 $(95\%$
                      confidence interval (CI) 1.03-1.57)], HGF [1.48
                      (1.06-2.07)], PIK3AP1 [1.22 (1.00-1.50)] and CLEC4G [1.52
                      (1.00-2.32)] were positively associated; HSD11B1 [0.67
                      (0.49-0.91)], SCF [0.68 (0.49-0.94)], and CCL25 [0.80
                      (0.65-0.99)] were inversely associated with endometrial
                      cancer risk; all estimates had multiple comparisons adjusted
                      P-value > 0.05. In complementary MR analysis, IL-6 [OR per
                      inverse-rank normalized NPX = 1.19 $(95\%$ CI 1.04-1.36)]
                      and HSD11B1 [0.91 (0.84-0.99)] were associated with
                      endometrial cancer risk.Altered IL-6 signalling and reduced
                      glucocorticoid activity via HSD11B1 might play important
                      roles in endometrial carcinogenesis.Funding for
                      $IIG_FULL_2021_008$ was obtained from Wereld Kanker
                      Onderzoek Fonds (WKOF), as part of the World Cancer Research
                      Fund International grant programme; Funding for $INCA_15849$
                      was obtained from Institut National du Cancer (INCa).},
      keywords     = {Endometrial cancer (Other) / HSD11B1 (Other) /
                      Interleukin-6 (Other) / Mendelian randomisation (Other) /
                      Proteomics (Other)},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39278107},
      doi          = {DOI:10.1016/j.ebiom.2024.105341},
      url          = {https://inrepo02.dkfz.de/record/293318},
}