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stimuli.  Simultaneously,  they  support  high-throughput  drug  efficacy  screening  with
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                   real-time  resolution  of  pharmacokinetic/pharmacodynamic  relationships  .  Despite

                   these  advantages  over  animal  models,  organ-on-a-chip  technology  faces  persistent
                   challenges  including  fabrication  scalability  limitations,  material  biocompatibility

                   constraints,  and  the  need  for  advanced  sensor  integration—all  requiring  further

                   optimization to achieve clinical predictive validity  25,26 . (3) Tumor Spheroids: Uniform,

                   high-throughput multicellular spheroids permit drug screening under physiologically

                   relevant conditions. The development of tumor spheroids can be precisely controlled in

                   terms  of  size  and  composition  through  continuous  perfusion  using  microfluidic

                   technology   27–29 .  Additionally,  integrating  3D-printed  scaffolds  with  microfluidic

                   control  enables  precise  generation  of  tumor  stem-like  spheroids  with  enhanced

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                   physiological relevance  . These spheroids simulate solid tumor 3D structure while
                   retaining  CSC  characteristics. They  exhibit in  vivo-like  cellular  complexity,  critical

                   cell-cell  interactions,  ECM  deposition,  and  chemical  gradients  that  restrict  drug

                   diffusion to levels comparable to human tissues  27,31 . Spheroids also serve as models

                   for evaluating drug sensitivity and resistance, typically displaying heightened resistance
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                   to chemotherapy and radiotherapy versus 2D monolayers  . They enable analysis of
                   growth  constraints  like  oxygen  tension,  nutrient  deficiency,  radiation  effects,  and

                   angiogenesis  33,34 . Therefore, convergent advances in 3D bioprinting and tumor-on-a-

                   chip technologies are yielding biomimetic tumor models with unprecedented clinical

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                   relevance  .  3D  printing  facilitates  personalized  manufacturing,  complex  structure
                   construction, and cost reduction  36,37 . Microfluidics dynamically simulates the TME,

                   enables  high-throughput  drug  screening,  and  precisely  controls  physicochemical

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                   conditions  . Integrating these technologies enhances tumor model humanization and
                   clinical  translation,  evidenced  by  successes  in  tumor-on-a-chip  and  drug  delivery

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                   applications   (summarized in Table 1).

                        Existing  reviews  typically  examine  microfluidics  or  3D  printing  in  isolation,

                   lacking systematic analysis of their synergistic convergence for oncology applications.
                   This  review  comprehensively  elucidates  advancements  and  prospects  in  integrated


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