One of the greatest challenges in modern oncology is the emergence of therapy resistance, which limits the long-term effectiveness of even the most advanced cancer treatments. Understanding Treatment Resistance & Sequencing has therefore become a major focus of research aimed at improving patient outcomes and extending survival. Resistance can arise from genetic mutations, epigenetic changes, tumor microenvironment alterations, or adaptive cellular pathways that enable cancer cells to evade therapy. By studying these mechanisms, clinicians can design sequential treatment plans that anticipate resistance and adjust therapeutic strategies accordingly. Optimizing sequencing—whether between targeted therapies, immunotherapies, or chemotherapy—ensures that each line of treatment builds on the previous one to sustain tumor control while minimizing toxicity and preserving quality of life.
The strategic application of Treatment Resistance & Sequencing is transforming the way clinicians manage cancer progression and therapeutic failure. Advances in molecular diagnostics, real-time monitoring, and biomarker-driven decision-making now allow for earlier detection of resistance patterns and more precise adaptation of treatment regimens. Researchers are also exploring combination approaches and novel sequencing models that delay resistance onset and restore drug sensitivity. By integrating these insights into clinical practice, oncology is moving toward a more dynamic, personalized approach to care—one where continuous assessment and intelligent sequencing can outmaneuver cancer’s adaptability, improving long-term outcomes and transforming resistant disease into a manageable condition.
Title : A novel blood-based mRNA genomics technology for cancer diagnosis and treatment
Rajvir Dahiya, University of California San Francisco, United States
Title : Integrating single-cell and spatial transcriptomics to uncover and elucidate GP73-mediated pro-angiogenic regulatory networks in hepatocellular carcinoma
Jiazhou Ye, Guangxi Medical University Cancer Hospital, China
Title : Unveiling the synergism of radiofrequency therapy and graphene nanocomposite in tumor cell viability assay
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Spatial multi-omics inference of diabetes-triggered pancreatic cancer growth: The key role of cholesterol-induced neutrophil extracellular
Guanqun Li, The First Affiliated Hospital of Harbin Medical University, China
Title : Analysis of the dynamic evolution and influencing factors of nutritional risk in breast cancer patients during treatment
Jingwen Yan, Sun Yat-sen University, China
Title : Multiplexed biosensor detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada