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SDIRSACR                                                                                 Oncology Insights

        quantitative changes in ctDNA levels, derived from droplet digital PCR and validated statistical frameworks. These
        criteria allow classification of patients into distinct response categories after only one cycle of systemic therapy, with
        early studies showing strong correlation with progression-free and overall survival.
        This  lecture  will  outline  the  rationale,  methodology,  and  current  evidence  supporting  ctDNA-RECIST,  including
        feasibility data, external validation efforts, and integration with clinical trials. The significance of ctDNA-RECIST for
        improving monitoring of patient outcomes will be discussed, alongside opportunities for earlier treatment adaptation,
        reduced toxicity, and optimized use of healthcare resources. Finally, the talk will highlight the ongoing international
        collaboration to refine, validate, and implement ctDNA-based response evaluation as a complement—or potential
        alternative—to radiological criteria in daily clinical practice

        Acknowledgments and funding: This will be noted at the meeting







         INVITED LECTURES





        L01

        Benefits of Combination Therapies in Cancer Treatment

        Orcun Can 1
        1 Acıbadem Maslak Hospital, Department of Medical Oncology, Istanbul, Türkiye

        Keywords: immunotherapy, radiotherapy, combination therapy, biomarkers, abscopal effect, antibody-drug conjugates,
        STING agonists

        Background:  Combination  therapies  have  transformed  oncology  by  overcoming  resistance  mechanisms  seen  with
        monotherapies. Integrating radiotherapy, immunotherapy, targeted therapies, and biomarker-driven personalization
        has expanded therapeutic options in solid tumors.
        Material and  Methods:  The  mechanistic  rationale  includes  immunogenic  cell  death  induced  by  chemotherapy
        and radiotherapy, enhancing antigen presentation and T-cell priming. Modulation of the tumor microenvironment
        through  anti-VEGF  agents  and  immune  checkpoint  inhibitors  increases  immune  infiltration.  Additional  strategies
        involve  oncolytic  viruses,  antibody-drug  conjugates  (ADCs),  and  innate  immune  activators  such  as  STING  agonists
        (e.g., MK-1454). Therapeutic pairings include chemotherapy plus immune checkpoint inhibitors (e.g., carboplatin +
        atezolizumab in NSCLC), targeted therapies with PD-1 blockade (e.g., BRAF/MEK inhibitors + anti-PD-1 in melanoma),
        and combinations such as ADC + ICI (e.g., enfortumab vedotin + pembrolizumab). AI-guided and multi-omic treatment-
        matching platforms are increasingly utilized.
        Results: Phase III trials show marked survival improvements. IMpower150 reported overall survival (OS) of 19.2 vs.
        14.7 months; PACIFIC showed 5-year OS of 43% vs. 29%. CheckMate-067 and 9LA demonstrated long-term survival
        advantages with combined ICI strategies. In PD-L1+ triple negative breast cancer (TNBC), IMpassion130 indicated clear
        progression-free survival (PFS) benefit. A representative case involved a 60-year-old male with brain and systemic
        metastases;  following  stereotactic  radiosurgery  and  sequential  chemo-immunotherapy  (cisplatin  +  pemetrexed  →
        atezolizumab + bevacizumab), complete metabolic response was achieved. Immune-related adverse events (thyroiditis,
        hepatitis, arthritis) were manageable over 47 cycles of immunotherapy.
        Conclusion: Combination therapies represent a new era in oncology. Optimally sequenced and personalized multimodal
        treatments  enhance  outcomes.  Emerging  tools  like  spatial  transcriptomics,  microbiome-based  prediction,  and  AI
        decision platforms will be key for future precision oncology.













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