% 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{Marchenko:304592,
      author       = {S. Marchenko and N. Goernitz and W. A. Zoern and M. Joosten
                      and I. Hoffmann and J. Sehouli and G. Niedobitek and C.
                      Denkert and B. V. Sinn and S. Kolb and J.
                      Carbonell-Caballero and A. Valencia and M.-P. Dragomir$^*$
                      and W. D. Schmitt and D. Horst and I. I. Braicu and C. Sers
                      and J. Pohl and E. T. Taube},
      title        = {{T}ranscriptome {A}nalysis of {M}atched {C}ohorts of
                      {L}ong- and {S}hort-term {S}urvivors in {A}dvanced
                      {H}igh-grade {S}erous {T}ubo-ovarian {C}ancer.},
      journal      = {Clinical cancer research},
      volume       = {31},
      number       = {18},
      issn         = {1078-0432},
      address      = {Philadelphia, Pa. [u.a.]},
      publisher    = {AACR},
      reportid     = {DKFZ-2025-01915},
      pages        = {3956 - 3969},
      year         = {2025},
      abstract     = {The late-stage diagnosis and the aggressiveness of
                      high-grade serous tubo-ovarian carcinoma (HGSC) often result
                      in poor survival outcomes, yet some patients exhibit an
                      exceptionally long survival rate. This study aimed to
                      identify molecular profiles associated with long-/short-term
                      survival in HGSC, with the goal of better understanding
                      protective factors and developing new treatments.To discover
                      molecular drivers causing the aggressiveness of HGSC, tumor
                      samples from 12 long-term HGSC survivors (>7 years overall
                      survival) and 12 short-term survivors (<1 year overall
                      survival) were analyzed using targeted RNA sequencing
                      followed by computational analysis. We investigated
                      differentially expressed genes and their functional
                      relevance, inferred differences in cell type composition and
                      signaling pathways, as well as mutation status. To validate
                      our findings, we simulated our study design by using HGSC
                      The Cancer Genome Atlas dataset samples. We evaluated
                      differential patterns of gene expression between these two
                      groups and developed molecular profiles of HGSC that
                      correlate with survival phenotypes.Besides known molecular
                      cancer drivers and indicators of poor prognosis, we
                      identified specific transcriptional changes between short-
                      and long-term survivors of HGSC, which indicate that immune
                      processes play a fundamental role in long-term survivors.
                      Our computational analysis reveals an important role for the
                      ensemble of IFN-γ signaling and the RFX transcription
                      factors, as well as the immune cell composition of the tumor
                      microenvironment.Specific immunologic requirements involving
                      IFN-γ signaling and affected pathways seem to be relevant
                      for long-term survival in the generally considered
                      nonimmunogenic HGSC, necessitating further research to
                      improve diagnostic strategies and targeted therapies.},
      keywords     = {Humans / Female / Ovarian Neoplasms: genetics / Ovarian
                      Neoplasms: mortality / Ovarian Neoplasms: pathology / Gene
                      Expression Profiling / Cancer Survivors / Transcriptome /
                      Prognosis / Cystadenocarcinoma, Serous: genetics /
                      Cystadenocarcinoma, Serous: pathology / Cystadenocarcinoma,
                      Serous: mortality / Gene Expression Regulation, Neoplastic /
                      Middle Aged / Biomarkers, Tumor: genetics / Aged / Neoplasm
                      Grading / Biomarkers, Tumor (NLM Chemicals)},
      cin          = {BE01},
      ddc          = {610},
      cid          = {I:(DE-He78)BE01-20160331},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40663509},
      doi          = {10.1158/1078-0432.CCR-24-2794},
      url          = {https://inrepo02.dkfz.de/record/304592},
}