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@ARTICLE{Pagliari:300102,
      author       = {F. Pagliari$^*$ and M.-F. Spadea and P. Montay-Gruel and A.
                      Puspitasari-Kokko and J. Seco$^*$ and L. Tirinato and A.
                      Accardo and F. De Angelis and F. Gentile},
      title        = {{N}ano-{T}opography {E}nhanced
                      {T}opological-{C}ell-{A}nalysis in {R}adiation-{T}herapy.},
      journal      = {Advanced healthcare materials},
      volume       = {14},
      number       = {12},
      issn         = {2192-2640},
      address      = {Weinheim},
      publisher    = {Wiley-VCH},
      reportid     = {DKFZ-2025-00602},
      pages        = {e2405187},
      year         = {2025},
      note         = {2025 May;14(12):e2405187 / Perspective},
      abstract     = {Radiotherapy (RT) is a cancer treatment technique that
                      involves exposing cells to ionizing radiation, including
                      X-rays, electrons, or protons. RT offers promise to treat
                      cancer, however, some inherent limitations can hamper its
                      performance. Radio-resistance, whether innate or acquired,
                      refers to the ability of tumor cells to withstand treatment,
                      making it a key factor in RT failure. This perspective
                      hypothesizes that nanoscale surface topography can impact on
                      the topology of cancer cells network under radiation, and
                      that this understanding can possibly advance the assessment
                      of cell radio-resistance in RT applications. An experimental
                      plan is proposed to test this hypothesis, using cancer cells
                      exposed to various RT forms. By examining the influence of
                      2D surface and 3D scaffold nanoscale architecture on cancer
                      cells, this approach diverges from traditional
                      methodologies, such as clonogenic assays, offering a novel
                      viewpoint that integrates fields such as tissue engineering,
                      artificial intelligence, and nanotechnology. The hypotheses
                      at the base of this perspective not only may advance cancer
                      treatment but also offers insights into the broader field of
                      structural biology. Nanotechnology and label-free Raman
                      phenotyping of biological samples are lenses through which
                      scientists can possibly better elucidate the
                      structure-function relationship in biological systems.},
      subtyp        = {Review Article},
      keywords     = {AI (Other) / Raman phenotyping (Other) / biomaterials
                      (Other) / nano‐topography (Other) / networks science
                      (Other) / radiation‐therapy (Other) / scaffolds (Other) /
                      topology (Other)},
      cin          = {E041},
      ddc          = {610},
      cid          = {I:(DE-He78)E041-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40119834},
      doi          = {10.1002/adhm.202405187},
      url          = {https://inrepo02.dkfz.de/record/300102},
}