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@ARTICLE{MahamatSaleh:275609,
      author       = {Y. Mahamat-Saleh and S. Rinaldi and R. Kaaks$^*$ and C.
                      Biessy and E. M. Gonzalez-Gil and N. Murphy and C. Le
                      Cornet$^*$ and J. M. Huerta and S. Sieri and A. Tjønneland
                      and L. Mellemkjaer and M. Guevara and K. Overvad and A.
                      Perez-Cornago and S. Tin Tin and L. Padroni and V. Simeon
                      and G. Masala and A. May and E. Monninkhof and S.
                      Christakoudi and A. K. Heath and K. Tsilidis and A. Agudo
                      and M. B. Schulze and J. Rothwell and C. Cadeau and S.
                      Severi and E. Weiderpass and M. J. Gunter and L. Dossus},
      title        = {{M}etabolically defined body size and body shape phenotypes
                      and risk of postmenopausal breast cancer in the {E}uropean
                      {P}rospective {I}nvestigation into {C}ancer and
                      {N}utrition.},
      journal      = {Cancer medicine},
      volume       = {12},
      number       = {11},
      issn         = {2045-7634},
      address      = {Hoboken, NJ},
      publisher    = {Wiley},
      reportid     = {DKFZ-2023-00815},
      pages        = {12668-12682},
      year         = {2023},
      note         = {2023 Jun;12(11):12668-12682},
      abstract     = {Excess body fatness and hyperinsulinemia are both
                      associated with an increased risk of postmenopausal breast
                      cancer. However, whether women with high body fatness but
                      normal insulin levels or those with normal body fatness and
                      high levels of insulin are at elevated risk of breast cancer
                      is not known. We investigated the associations of
                      metabolically defined body size and shape phenotypes with
                      the risk of postmenopausal breast cancer in a nested
                      case-control study within the European Prospective
                      Investigation into Cancer and Nutrition.Concentrations of
                      C-peptide-a marker for insulin secretion-were measured at
                      inclusion prior to cancer diagnosis in serum from 610
                      incident postmenopausal breast cancer cases and 1130 matched
                      controls. C-peptide concentrations among the control
                      participants were used to define metabolically healthy (MH;
                      in first tertile) and metabolically unhealthy (MU; >1st
                      tertile) status. We created four metabolic health/body size
                      phenotype categories by combining the metabolic health
                      definitions with normal weight (NW; BMI < 25 kg/m2 , or WC <
                      80 cm, or WHR < 0.8) and overweight or obese (OW/OB; BMI ≥
                      25 kg/m2 , or WC ≥ 80 cm, or WHR ≥ 0.8) status for each
                      of the three anthropometric measures separately: (1) MHNW,
                      (2) MHOW/OB, (3) MUNW, and (4) MUOW/OB. Conditional logistic
                      regression was used to compute odds ratios (ORs) and $95\%$
                      confidence intervals (CIs).Women classified as MUOW/OB were
                      at higher risk of postmenopausal breast cancer compared to
                      MHNW women considering BMI (OR = 1.58, $95\%$ CI =
                      1.14-2.19) and WC (OR = 1.51, $95\%$ CI = 1.09-2.08) cut
                      points and there was also a suggestive increased risk for
                      the WHR (OR = 1.29, $95\%$ CI = 0.94-1.77) definition.
                      Conversely, women with the MHOW/OB and MUNW were not at
                      statistically significant elevated risk of postmenopausal
                      breast cancer risk compared to MHNW women.These findings
                      suggest that being overweight or obese and metabolically
                      unhealthy raises risk of postmenopausal breast cancer while
                      overweight or obese women with normal insulin levels are not
                      at higher risk. Additional research should consider the
                      combined utility of anthropometric measures with metabolic
                      parameters in predicting breast cancer risk.},
      keywords     = {body mass index (Other) / breast cancer (Other) /
                      concentrations of C-peptide (Other) / metabolic health
                      (Other) / waist circumference (Other) / waist-to-hip ratio
                      (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:37096432},
      doi          = {10.1002/cam4.5896},
      url          = {https://inrepo02.dkfz.de/record/275609},
}