% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Knuever:303070,
      author       = {J. Knuever and O.-D. Persa and L. Gerecht and M. Schlaak
                      and S. Theurich$^*$},
      title        = {{B}ody {C}omposition and {I}nflammation as {E}merging
                      {S}ex-{S}pecific {P}rognostic {F}actors in {P}atients with
                      {A}dvanced {C}utaneous {M}elanoma {U}ndergoing {I}mmune
                      {C}heckpoint-{I}nhibition {T}herapy: {A} {P}rospective
                      {P}ilot {S}tudy.},
      journal      = {Oncology research and treatment},
      volume       = {nn},
      issn         = {2296-5270},
      address      = {Basel},
      publisher    = {Karger},
      reportid     = {DKFZ-2025-01495},
      pages        = {nn},
      year         = {2025},
      note         = {epub},
      abstract     = {The distribution of muscle and adipose tissues masses
                      physiologically follow sex-specific patterns. On the other
                      hand, the clinical and biological consequences of pathologic
                      body composition, i.e., sarcopenia or obesity, also depend
                      on tissue distribution patterns. Although obesity-associated
                      inflammation has been correlated with survival benefits of
                      cancer patients undergoing immune checkpoint inhibition
                      (ICI) therapy, detailed and sex-specific body composition
                      analyses are widely missing. Here, we prospectively analyzed
                      body composition and serum parameters of inflammation and
                      protein metabolism in patients with advanced melanoma before
                      and 3 months after initiation of ICI therapy.Between 2016
                      and 2018, consecutive patients with advanced cutaneous
                      melanoma were recruited into the study at our cancer center
                      (Skin Cancer Center, CIO, University Hospital Cologne,
                      Germany). Blood samples and body composition based on
                      bioelectrical impedance analysis (BIA) were assessed before
                      ICI therapy initiation (T1) and after 3 months (T2).
                      Correlation of blood parameters with body composition as
                      well as progression-free (PFS) and overall survival (OS) was
                      analyzed in sex-specific subgroups.From a total of 54
                      patients, 25 were women and 29 were men. In women, a high
                      muscle mass at T1 was the strongest marker for longer PFS
                      (HR 0.84; $95\%$ CI: 0.74-0.98; p = 0.024), while in men (n
                      = 29), high phase angle values at T1 correlated with
                      significantly longer PFS (HR 0.48; $95\%$ CI: 0.26-0.90; p =
                      0.023). Regarding OS, muscle mass status at T1 remained the
                      strongest predictor for longer survival in women (HR 0.85;
                      $95\%$ CI: 0.72-0.99; p = 0.033), while in men, increased
                      leukocyte blood counts at T1 were associated with the
                      poorest OS (HR 1.36; $95\%$ CI: 1.14-1.62; p = 0.001).
                      Inflammation and the immuno-nutritional score mGPS
                      correlated with body composition parameters in a
                      sex-specific manner. However, we did not observe an impact
                      of dynamic changes between T1 and T2 in all analyzed
                      parameters.Our data suggest that BIA-derived markers are
                      associated with the prognosis of melanoma patients
                      undergoing ICI therapy in a sex-specific manner. Selected
                      body composition parameters correlate differently with blood
                      markers of inflammation and protein metabolism in men and
                      women. If validated in larger trials, these assessments
                      might improve individualized supportive care and clinical
                      risk stratification.},
      keywords     = {Bioelectrical impedance analysis (Other) / Body composition
                      (Other) / Cutaneous melanoma (Other) / Immune checkpoint
                      inhibition therapy (Other) / Inflammation (Other) / Protein
                      metabolism (Other)},
      cin          = {MU01},
      ddc          = {350},
      cid          = {I:(DE-He78)MU01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40517768},
      doi          = {10.1159/000546797},
      url          = {https://inrepo02.dkfz.de/record/303070},
}