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

Radiogenomics and Personalized Radiotherapy

The integration of genomics into radiotherapy has emerged as a promising approach to tailor treatment based on individual tumor characteristics. A study by Rath et al. introduced the concept of genomic adjusted radiation dose (GARD), which correlates tumor-specific gene expression with radiation dosing, particularly in HPV+ oropharyngeal cancer. This method aims to address the limitations of uniform radiation therapy, which has shown suboptimal results in clinical trials due to genomic heterogeneity within tumors (ref: Rath doi.org/10.1172/JCI198351/). In prostate cancer, Ku et al. identified a transcriptomic signature associated with TGF-β activity that predicts biochemical recurrence after external beam radiotherapy, suggesting that early identification of high-risk patients could facilitate personalized treatment strategies (ref: Ku doi.org/10.1158/1078-0432.CCR-25-2186/). Additionally, Yang et al. explored the role of circulating tumor DNA (ctDNA) in predicting outcomes for limited-stage small cell lung cancer patients undergoing concurrent chemoradiotherapy, highlighting the potential of ctDNA as a dynamic biomarker for treatment response (ref: Yang doi.org/10.1038/s41392-025-02445-y/). These studies collectively underscore the importance of integrating genomic data into radiotherapy planning to enhance treatment efficacy and minimize adverse effects.

Tumor Microenvironment and Immunotherapy

The tumor microenvironment plays a crucial role in cancer progression and response to therapy, as evidenced by recent studies. Pei et al. utilized single-cell multi-omics and spatial transcriptomics to investigate the cellular architecture of esophageal squamous cell carcinoma (ESCC), revealing the immunosuppressive role of GPR116 in promoting tumor metastasis (ref: Pei doi.org/10.1038/s41588-025-02341-9/). This highlights the complexity of cellular interactions within the tumor microenvironment and their impact on therapeutic efficacy. In the context of breast cancer, the St Gallen International Breast Cancer Consensus Statement emphasized the need for individualized treatment approaches that consider both cancer risk and patient preferences, reflecting a shift towards more personalized care in oncology (ref: Burstein doi.org/10.1016/j.annonc.2025.09.007/). Furthermore, the PHAROS study demonstrated that encorafenib combined with binimetinib significantly improves overall survival in patients with BRAF V600E-mutant metastatic non-small cell lung cancer, reinforcing the importance of targeted therapies in managing specific tumor microenvironments (ref: Johnson doi.org/10.1200/JCO-25-02023/). Together, these findings underscore the intricate interplay between the tumor microenvironment and therapeutic strategies, advocating for a more nuanced understanding of cancer biology to enhance treatment outcomes.

Genomic Alterations and Cancer Resistance

Genomic alterations significantly contribute to cancer resistance, complicating treatment strategies. Zhang et al. identified PRMT3 as a key player in mediating radioresistance and immunosuppression in non-small cell lung cancer (NSCLC) by promoting kynurenine metabolism, which impairs T-cell anti-tumor activity (ref: Zhang doi.org/10.1158/0008-5472.CAN-24-4162/). This finding highlights the potential of targeting metabolic pathways to overcome resistance. In prostate cancer, Kang et al. developed a multi-layer stratified oncology platform that combines transcriptomics and patient-derived organoids to investigate pharmacological heterogeneity, revealing the complexities of intra-patient tumor diversity (ref: Kang doi.org/10.1186/s13046-025-03540-2/). These studies illustrate the necessity of understanding the genomic landscape of tumors to devise effective therapeutic interventions. Furthermore, the identification of specific genomic alterations associated with treatment outcomes in metastatic castration-resistant prostate cancer underscores the importance of precision medicine in addressing resistance mechanisms (ref: Panian doi.org/10.1093/oncolo/). Collectively, these insights emphasize the critical role of genomic profiling in informing treatment decisions and enhancing patient outcomes.

Chemotherapy and Radiotherapy Interactions

The interactions between chemotherapy and radiotherapy are pivotal in optimizing treatment regimens for cancer patients. Wams et al. highlighted the importance of healthcare transitions for childhood and adolescent cancer survivors, emphasizing the need for tailored recommendations to improve long-term health outcomes (ref: Wams doi.org/10.1016/S1470-2045(25)00410-3/). This underscores the necessity of considering the cumulative effects of chemotherapy and radiotherapy in young patients. In prostate cancer, McKay et al. explored the clinical and molecular correlates of high FOLH1 RNA expression, revealing its potential as a target for diagnostics and treatment (ref: McKay doi.org/10.1093/oncolo/). Additionally, Yadollahi et al. investigated the potential of PI3K inhibitors to bypass cisplatin resistance in head and neck cancer, suggesting that targeted therapies may enhance the efficacy of conventional treatments (ref: Yadollahi doi.org/10.1038/s41416-025-03189-w/). These studies collectively indicate that understanding the interactions between chemotherapy and radiotherapy can lead to more effective treatment strategies, particularly in populations with unique needs such as young cancer survivors.

Innovative Therapeutic Approaches

Innovative therapeutic strategies are crucial for overcoming resistance and enhancing treatment efficacy in cancer. Ying et al. identified FSTL3 as a key factor in promoting vasculogenic mimicry in colon cancer, suggesting that targeting this pathway may improve responses to anti-angiogenic therapies (ref: Ying doi.org/10.1038/s41419-025-08009-w/). This finding highlights the need for novel approaches to combat resistance mechanisms. Liu et al. developed a nano-regulator that polarizes neutrophils into an anti-tumor phenotype, enhancing drug delivery and efficacy in cancer therapy (ref: Liu doi.org/10.1186/s12951-025-03658-7/). Furthermore, Chen et al. engineered a radiation-responsive Salmonella strain for precise tumor-specific protein delivery, showcasing the potential of utilizing bacterial systems for targeted therapy (ref: Chen doi.org/10.1016/j.jconrel.2025.114292/). These studies illustrate the promise of innovative therapeutic approaches in addressing the challenges of cancer treatment, particularly in enhancing drug delivery and overcoming resistance.

Biomarkers and Prognostic Indicators

The identification of biomarkers and prognostic indicators is essential for improving cancer management and treatment outcomes. Kaur et al. discovered Cornulin as a potential biomarker in head and neck squamous cell carcinoma, demonstrating its role in tumor pathophysiology and potential as a therapeutic target (ref: Kaur doi.org/10.1038/s41416-025-03222-y/). This finding emphasizes the importance of exploring novel biomarkers for early detection and treatment stratification. Additionally, Xie et al. developed a dual-functional nanotherapy targeting glioblastoma, revealing the significance of understanding the molecular mechanisms driving radioresistance in developing effective treatments (ref: Xie doi.org/10.1038/s41419-025-08083-0/). Furthermore, Panian et al. highlighted the impact of genomic alterations on treatment outcomes in metastatic castration-resistant prostate cancer, reinforcing the need for precision medicine approaches (ref: Panian doi.org/10.1093/oncolo/). Collectively, these studies underscore the critical role of biomarkers in guiding treatment decisions and improving patient prognoses.

Clinical Trials and Treatment Outcomes

Clinical trials play a pivotal role in shaping treatment paradigms and improving patient outcomes. The St Gallen International Breast Cancer Consensus Statement emphasized the importance of individualizing therapy based on cancer risk and patient preferences, reflecting a shift towards personalized medicine in breast cancer management (ref: Burstein doi.org/10.1016/j.annonc.2025.09.007/). In the PALLAS trial, Mayer et al. reported that the addition of palbociclib to adjuvant endocrine therapy resulted in an invasive disease-free survival (iDFS) of 84.2%, highlighting the potential benefits of combining targeted therapies with standard treatments (ref: Mayer doi.org/10.1016/j.annonc.2025.10.003/). Furthermore, Kang et al. developed a multi-layer stratified oncology platform that utilizes transcriptomics and patient-derived organoids to explore pharmacological heterogeneity, providing insights into treatment responses and resistance mechanisms (ref: Kang doi.org/10.1186/s13046-025-03540-2/). These findings collectively underscore the importance of clinical trials in advancing cancer treatment and the need for ongoing research to optimize therapeutic strategies.

Molecular Mechanisms of Cancer Progression

Understanding the molecular mechanisms underlying cancer progression is crucial for developing effective therapeutic strategies. Webendoerfer et al. highlighted the unique challenges faced by young adults with non-small cell lung cancer, including a higher prevalence of stage IV disease and specific genomic alterations, emphasizing the need for targeted interventions in this population (ref: Webendoerfer doi.org/10.1016/j.ejca.2025.116011/). Additionally, Li et al. identified circular SNX25 as a radioresistance augmenter in hepatocellular carcinoma, demonstrating its role in facilitating DNA damage repair, which presents a potential target for enhancing radiotherapy efficacy (ref: Li doi.org/10.1038/s41419-025-08026-9/). Furthermore, Liu et al. developed a novel nano-regulator that enhances drug delivery by modulating neutrophil polarization, showcasing an innovative approach to improving cancer therapy (ref: Liu doi.org/10.1186/s12951-025-03658-7/). These studies collectively underscore the importance of elucidating molecular mechanisms in cancer progression to inform the development of targeted therapies and improve patient outcomes.

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