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@ARTICLE{Hua:168784,
      author       = {X. Hua and J. Y. Dai and S. Lindström and T. A. Harrison
                      and Y. Lin and S. R. Alberts and E. Alwers$^*$ and S. I.
                      Berndt and H. Brenner$^*$ and D. D. Buchanan and P. T.
                      Campbell and G. Casey and J. Chang-Claude$^*$ and S.
                      Gallinger and G. G. Giles and R. M. Goldberg and M. J.
                      Gunter and M. Hoffmeister$^*$ and M. A. Jenkins and A. D.
                      Joshi and W. Ma and R. L. Milne and N. Murphy and R. K. Pai
                      and L. C. Sakoda and R. E. Schoen and Q. Shi and M. L.
                      Slattery and M. Song and E. White and L. Le Marchand and A.
                      T. Chan and U. Peters and P. A. Newcomb},
      title        = {{G}enetically predicted circulating {C}-reactive protein
                      concentration and colorectal cancer survival: {A}
                      {M}endelian randomization consortium study.},
      journal      = {Cancer epidemiology, biomarkers $\&$ prevention},
      volume       = {30},
      number       = {7},
      issn         = {1538-7755},
      address      = {Philadelphia, Pa.},
      publisher    = {AACR},
      reportid     = {DKFZ-2021-01065},
      pages        = {1349-1358},
      year         = {2021},
      note         = {2021 Jul;30(7):1349-1358},
      abstract     = {A positive association between circulating C-reactive
                      protein (CRP) and colorectal cancer (CRC) survival was
                      reported in observational studies, which are susceptible to
                      unmeasured confounding and reverse causality. We used a
                      Mendelian randomization approach to evaluate the association
                      between genetically-predicted CRP concentrations and
                      CRC-specific survival.We used individual-level data for
                      16,918 eligible CRC cases of European ancestry from 15
                      studies within the International Survival Analysis of
                      Colorectal Cancer Consortium. We calculated a genetic risk
                      score based on 52 CRP-associated genetic variants identified
                      from genome-wide association studies. Due to the
                      non-collapsibility of hazard ratios from Cox proportional
                      hazards models, we used the additive hazards model to
                      calculate hazard differences (HD) and $95\%$ confidence
                      intervals (CI) for the association between
                      genetically-predicted CRP concentrations and CRC-specific
                      survival, overall and by stage at diagnosis and tumor
                      location. Analyses were adjusted for age at diagnosis, sex,
                      body mass index, genotyping platform, study, and principal
                      components.Of the 5,395 $(32\%)$ deaths accrued over up to
                      10 years of follow-up, 3,808 $(23\%)$ were due to CRC.
                      Genetically-predicted CRP concentration was not associated
                      with CRC-specific survival (HD= -1.15, $95\%$ CI: -2.76 to
                      0.47 per 100,000 person-years, P =0.16). Similarly, no
                      associations were observed in subgroup analyses by stage at
                      diagnosis or tumor location.Despite adequate power to detect
                      moderate associations, our results did not support a causal
                      effect of circulating CRP concentrations on CRC-specific
                      survival.Future research evaluating genetically-determined
                      levels of other circulating inflammatory biomarkers (i.e.
                      interleukin-6) with CRC survival outcomes is needed.},
      cin          = {C070 / C120 / C020 / HD01},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)C020-20160331 / I:(DE-He78)HD01-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33972368},
      doi          = {10.1158/1055-9965.EPI-20-1848},
      url          = {https://inrepo02.dkfz.de/record/168784},
}