HER2 Positive Breast Cancer

In vitro experiments further demonstrated that ITGB2 knockdown led to inactivation of Akt and ERK signaling and suppression of cell aggressiveness in ER+/HER2- breast cancer cells. ITGB2 gain represents an unfavorable prognostic marker for early recurrence in luminal HER2-negative high proliferative breast cancer, with potential therapeutic implications.

Despite the clear potential for ncRNAs to serve as therapeutic targets and as biomarkers in clinical management of BC, additional work is required to generate optimal delivery methods, achieve specificity, and standardize detection methods. Future studies, encompassing 'multi-omics' strategies in BC research together with enhanced computational tools, will also be warranted to fully establish ncRNA discoveries into personalized BC care, and improved treatment outcomes for patient management through precision nanomedicine and liquid biopsy platforms.

Real-world data reveal drug- and age-specific toxicity differences. Ribociclib and abemaciclib pose higher risks in older adults compared to palbociclib, supporting the need for personalized treatment and careful monitoring in older patients.

This study suggests that selected patients with de novo mBC and locoregional oligoprogression can benefit from breast surgery while maintaining the same systemic treatment, particularly in the setting of HER2-positive disease or a pre-oligoprogression PFS >1 year.

This review concludes that natural compound-NPs therapies constitute a transformative and synergistic strategy for BC therapy. To realize their full clinical potential, interdisciplinary collaboration is essential for optimizing manufacturing processes and validating predictive biomarkers. Future research efforts must focus on the rational design of intelligent, multi-responsive nanosystems that are specifically tailored to the molecular subtypes of BC. Ultimately, establishing robust regulatory frameworks and scalable manufacturing pathways is imperative to successfully bridge the gap between promising preclinical results and tangible clinical benefits for patients.

The Stratipath AI model performs similarly to the NHG system. Further prospective validation of the clinical benefits of differentiating Stratipath risk groups 2 and 3 in treatment strategies would be valuable.

Interventions to prevent or treat CRCI are needed to improve the long-term quality of life of these patients treated with chemotherapy. ClinicalTrials.gov Identifier: NCT01272037.

Experiments were conducted on the private datasets (HER2USC) and the public datasets (BCW, BCa and SIIM-ISIC). Experimental results demonstrate that KMNet outperformed other reported state-ofthe- art multi-modal algorithms in HER2 subtyping task, offering strong potential for clinical decision support in breast cancer treatment.

These data add to the current view that nanobody selection for CAR design remains subject to extensive side-by-side screening. Still, superior cytotoxicity across multiple solid tumor cell lines-determined using in vitro assays evaluating activation, cytokine secretion, and target cell-specific killing-led to selection and further characterization of a lead nanoCAR 1R59b, showing tumor control in an in vivo xenograft model, providing a promising HER2 nanoCAR for further (pre)clinical investigation.