Radiogenomics and genomics-guided radiotherapy, including tumor radiosensitivity and dose personalization

Radiotherapy and Genomic Interactions

Recent studies have highlighted the integration of immunotherapy and radiotherapy in treating various cancers, particularly nasopharyngeal carcinoma (NPC) and soft-tissue sarcoma (STS). The PLATINUM trial demonstrated that combining nivolumab with induction chemotherapy and radiotherapy, without concurrent cisplatin, resulted in a remarkable 3-year failure-free survival (FFS) of 88.5% and an overall survival rate of 97.9% among NPC patients, indicating a promising alternative to traditional cisplatin-based regimens (ref: Xu doi.org/10.1016/j.ccell.2025.01.014/). In the realm of STS, the SABR-PDL1 trial revealed that monocyte-lineage tumor infiltration could serve as a predictive biomarker for immunoradiotherapy response, suggesting that the combination of anti-PDL1 atezolizumab with stereotactic body radiation therapy (SBRT) may enhance treatment efficacy (ref: Levy doi.org/10.1038/s41392-025-02173-3/). Furthermore, research on IDH1-mutant gliomas has shown that targeting the PDGFRA-SHP2 signaling pathway enhances radiotherapy effectiveness, emphasizing the need for tailored approaches based on genomic alterations (ref: Yu doi.org/10.1093/neuonc/). These findings collectively underscore the importance of integrating genomic insights into radiotherapy protocols to optimize patient outcomes.

Immunotherapy and Tumor Microenvironment

The interplay between immunotherapy and the tumor microenvironment (TME) has emerged as a critical area of research, particularly regarding resistance mechanisms and therapeutic strategies. A study demonstrated that anti-VEGF treatment could potentiate immune checkpoint blockade through a BAFF- and IL-12-dependent mechanism, enhancing the proinflammatory response within the TME and potentially improving outcomes in cholangiocarcinoma (ref: Benmebarek doi.org/10.1016/j.immuni.2025.02.017/). Conversely, the accumulation of CD301b+ monocyte-derived dendritic cells has been identified as a factor contributing to resistance against radiotherapy, highlighting the complexity of immune responses in tumors (ref: Tadepalli doi.org/10.1084/jem.20231717/). Additionally, macrophage-derived itaconate was found to suppress dendritic cell function, further complicating the landscape of adaptive resistance to anti-PD-1 immunotherapy (ref: Yang doi.org/10.1158/0008-5472.CAN-24-2982/). These studies illustrate the dual role of the TME in either facilitating or hindering therapeutic efficacy, necessitating a deeper understanding of these interactions to enhance immunotherapeutic strategies.

Targeted Therapies and Resistance Mechanisms

Targeted therapies have shown promise in addressing specific genomic alterations in cancers, yet resistance mechanisms continue to pose significant challenges. The use of avapritinib in treating PDGFRA-altered high-grade gliomas demonstrated radiographic responses in a subset of patients, suggesting its potential as a targeted treatment option (ref: Mayr doi.org/10.1016/j.ccell.2025.02.018/). In prostate cancer, the small molecule zotatifin was effective in repressing tumorigenesis by targeting RNA structures, indicating a novel approach to overcoming treatment resistance in castration-resistant prostate cancer (ref: Kuzuoglu-Ozturk doi.org/10.1016/j.ccell.2025.02.027/). Moreover, the SPOP/NOLC1/B4GALT1 signaling axis was implicated in enhancing paclitaxel resistance in endometrial cancer, revealing how glycosylation pathways can influence therapeutic outcomes (ref: Zhai doi.org/10.1038/s41388-025-03347-7/). These findings highlight the necessity of understanding the molecular underpinnings of resistance to develop effective targeted therapies.

Nanotechnology in Cancer Treatment

Nanotechnology is revolutionizing cancer treatment by enhancing drug delivery and therapeutic efficacy. Recent advancements include the development of multifunctional nanoparticles that combine a natural anti-cancer agent, Caflanone, with radiation therapy, demonstrating significant therapeutic efficacy against breast, pancreatic, and glioblastoma cancers (ref: Appidi doi.org/10.1186/s12943-025-02266-1/). Additionally, remote limb ischemic conditioning has been shown to alleviate steatohepatitis through extracellular vesicle-mediated communication, indicating the potential of nanotechnology in metabolic-related cancer treatments (ref: Zhao doi.org/10.1016/j.cmet.2025.02.009/). Furthermore, the blockade of CD105 was found to restore osimertinib sensitivity in drug-resistant non-small cell lung cancer, showcasing how nanotechnology can be integrated with existing therapies to overcome resistance (ref: Thiruvalluvan doi.org/10.1016/j.drup.2025.101237/). These innovations illustrate the transformative role of nanotechnology in enhancing cancer treatment outcomes.

Genomic Biomarkers and Personalized Medicine

The identification of genomic biomarkers is pivotal for the advancement of personalized medicine in oncology. A study on childhood cancer survivors revealed a significantly higher lifetime risk of developing treatment-related cancers and cardiovascular conditions, emphasizing the need for tailored follow-up care and preventive strategies (ref: Yeh doi.org/10.1001/jamaoncol.2025.0236/). In the context of non-small cell lung cancer, the HER2-directed antibody-drug conjugate trastuzumab rezetecan showed promising anti-tumor activity, highlighting the importance of targeting specific genomic alterations for effective treatment (ref: Li doi.org/10.1016/S1470-2045(25)00012-9/). Additionally, the PLATINUM trial's findings on nivolumab combined with induction chemotherapy in NPC patients further underscore the potential of personalized approaches based on individual genomic profiles (ref: Xu doi.org/10.1016/j.ccell.2025.01.014/). These studies collectively advocate for the integration of genomic insights into clinical practice to optimize therapeutic strategies.

Metabolic Pathways and Cancer Progression

Metabolic reprogramming is increasingly recognized as a key driver of cancer progression. Research has shown that inhibiting 6-phosphogluconate dehydrogenase can suppress esophageal squamous cell carcinoma growth while enhancing the anti-tumor effects of metformin through the AMPK/mTOR pathway, indicating a potential therapeutic target in metabolic pathways (ref: Wang doi.org/10.1186/s12943-025-02302-0/). Furthermore, a comprehensive single-cell eQTL mapping study revealed cell subtype-specific genetic controls in colorectal cancer, shedding light on the intricate molecular mechanisms underlying malignant transformation (ref: Chen doi.org/10.1158/2159-8290.CD-24-1561/). Additionally, the SPOP/NOLC1/B4GALT1 signaling axis was found to enhance paclitaxel resistance through dysregulated glycosylation metabolism, illustrating how metabolic alterations can influence treatment responses (ref: Zhai doi.org/10.1038/s41388-025-03347-7/). These findings emphasize the critical role of metabolic pathways in cancer biology and their potential as therapeutic targets.

Radiogenomics and Treatment Outcomes

Radiogenomics is an emerging field that explores the relationship between genomic variations and responses to radiotherapy. The use of avapritinib in PDGFRA-altered high-grade gliomas has shown promising results, with radiographic responses observed in a subset of patients, suggesting that genomic profiling can guide targeted treatment strategies (ref: Mayr doi.org/10.1016/j.ccell.2025.02.018/). In prostate cancer, the small molecule zotatifin demonstrated efficacy in targeting RNA structures, potentially offering a new avenue for treatment in castration-resistant cases (ref: Kuzuoglu-Ozturk doi.org/10.1016/j.ccell.2025.02.027/). Moreover, the PLATINUM trial's findings on nivolumab combined with induction chemotherapy in NPC patients further highlight the importance of integrating genomic insights into treatment protocols to improve patient outcomes (ref: Xu doi.org/10.1016/j.ccell.2025.01.014/). These studies underscore the potential of radiogenomics to enhance treatment personalization and efficacy in oncology.

Key Highlights

Disclaimer: This is an AI-generated summarization. Please refer to the cited articles before making any clinical or scientific decisions.