Cancer remains one of the leading causes of death worldwide, with traditional therapies like surgery, chemotherapy, and radiation being limited by toxicity and resistance. Recent breakthroughs in antibody-mediated therapies, precision medicine, and immunotherapies are reshaping the cancer treatment landscape. Monoclonal antibodies (mAbs), immune checkpoint inhibitors, and chimeric antigen receptor T-cell (CAR-T) therapies have proven to be highly effective, offering more targeted, less toxic alternatives to traditional treatments. Alongside these innovations, the integration of genomic profiling and next-generation sequencing (NGS) has paved the way for precision oncology, where therapies are tailored to the unique genetic makeup of a patient’s cancer. However, challenges such as tumor heterogeneity, therapy resistance, and immunotoxicity persist. This review discusses the mechanisms, clinical successes, and challenges associated with antibody-mediated therapies and precision medicine, as well as emerging treatment modalities. We also highlight the role of artificial intelligence (AI) in accelerating cancer research and improving therapeutic outcomes.
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Ashutosh Kumar Maurya
Ashish Kumar Maurya
Jordi Muntané
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Maurya et al. (Tue,) studied this question.
www.synapsesocial.com/papers/68f9bad6d7353cfcfc68f334 — DOI: https://doi.org/10.20944/preprints202510.1428.v2
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