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This report is written by MaltSci based on the latest literature and research findings

What are the latest advances in breast cancer treatment? ​

Abstract ​

Breast cancer remains one of the most prevalent malignancies affecting women globally, underscoring the urgent need for continued advancements in treatment. Recent years have witnessed remarkable transformations in the understanding of breast cancer biology and treatment modalities, leading to significant improvements in patient outcomes. This report reviews the latest advances in breast cancer treatment, focusing on targeted therapies, immunotherapies, genetic profiling, and emerging technologies. HER2-targeted therapies have revolutionized treatment for HER2-positive breast cancer, with novel agents such as antibody-drug conjugates showing promising results. Hormonal therapies have also evolved, with pharmacogenetics allowing for individualized treatment strategies that optimize drug efficacy. Immunotherapy, particularly through immune checkpoint inhibitors, is expanding treatment options for triple-negative and other aggressive subtypes. Genetic profiling has become crucial in guiding treatment decisions, with biomarkers enabling personalized approaches that enhance therapeutic efficacy. The integration of liquid biopsies and artificial intelligence is further transforming the landscape, facilitating real-time monitoring and personalized treatment plans. However, challenges such as therapy resistance and equitable access to innovative treatments remain critical areas for ongoing research. The future of breast cancer therapy lies in overcoming these challenges and continuing to refine personalized treatment strategies that improve patient outcomes and quality of life.

Outline ​

This report will discuss the following questions.

  • 1 Introduction
  • 2 Advances in Targeted Therapies
    • 2.1 HER2-Targeted Treatments
    • 2.2 Hormonal Therapies
  • 3 Immunotherapy in Breast Cancer
    • 3.1 Checkpoint Inhibitors
    • 3.2 Vaccine Therapies
  • 4 The Role of Genetic Profiling
    • 4.1 Biomarkers in Treatment Decision-Making
    • 4.2 Genomic Assays and Personalized Medicine
  • 5 Integrating Emerging Technologies
    • 5.1 Liquid Biopsies
    • 5.2 Artificial Intelligence in Treatment Planning
  • 6 Challenges and Future Directions
    • 6.1 Addressing Resistance to Therapy
    • 6.2 Improving Access to Innovative Treatments
  • 7 Summary

1 Introduction ​

Breast cancer remains one of the most prevalent malignancies affecting women globally, accounting for significant morbidity and mortality. According to recent statistics, breast cancer represents the most frequently diagnosed cancer among women, highlighting the urgent need for continued advancements in its treatment [1]. Over the past decade, there has been a remarkable transformation in the understanding of breast cancer biology and treatment modalities, leading to significant improvements in patient outcomes. Advances in therapeutic strategies, including targeted therapies, immunotherapies, and the integration of emerging technologies, have revolutionized the management of this complex disease. These developments not only aim to enhance survival rates but also to improve the quality of life for patients undergoing treatment.

The significance of these advancements cannot be overstated. The evolution of breast cancer treatment reflects a paradigm shift towards personalized medicine, where therapies are tailored to the unique genetic and molecular profiles of individual tumors [2]. This approach is crucial, given the heterogeneity of breast cancer, which manifests in various subtypes, including hormone receptor-positive (HR+), HER2-positive (HER2+), and triple-negative breast cancer (TNBC). Each subtype presents distinct challenges and treatment responses, necessitating a more nuanced understanding of tumor biology to optimize therapeutic interventions [3]. The introduction of targeted therapies, such as CDK4/6 inhibitors and antibody-drug conjugates, has shown promising results in improving outcomes for specific subtypes [3].

Current research highlights the role of genetic profiling and molecular diagnostics in informing treatment decisions. Biomarkers are increasingly being utilized to predict therapeutic responses and guide the selection of appropriate interventions [4]. The advent of precision medicine has opened new avenues for targeted therapies, with studies indicating that a tailored approach can significantly reduce recurrence rates and enhance treatment efficacy [5]. Moreover, innovative treatment modalities, including combination therapies and the use of nanomedicine, are emerging as effective strategies to combat drug resistance and minimize side effects [6].

Despite these advancements, challenges remain in the field of breast cancer treatment. Issues such as therapy resistance, accessibility to novel treatments, and the need for continued research into the underlying mechanisms of breast cancer are critical areas that require attention [5]. Furthermore, the integration of artificial intelligence and liquid biopsy technologies into clinical practice holds promise for enhancing diagnostic accuracy and facilitating real-time monitoring of treatment responses [3].

This report aims to provide a comprehensive review of the latest advances in breast cancer treatment, organized into several key sections. The first section will explore advances in targeted therapies, focusing on HER2-targeted treatments and hormonal therapies. Following this, we will discuss the role of immunotherapy in breast cancer, examining checkpoint inhibitors and vaccine therapies. The third section will delve into the significance of genetic profiling, highlighting biomarkers in treatment decision-making and the impact of genomic assays on personalized medicine. Next, we will investigate the integration of emerging technologies, such as liquid biopsies and artificial intelligence, in treatment planning. Finally, we will address the challenges and future directions in breast cancer treatment, emphasizing the need to overcome resistance to therapy and improve access to innovative treatments. By synthesizing current research findings and clinical practices, this report seeks to illuminate the evolving landscape of breast cancer treatment and highlight future directions for research and clinical application.

2 Advances in Targeted Therapies ​

2.1 HER2-Targeted Treatments ​

The field of HER2-targeted therapies for breast cancer has seen significant advancements, leading to improved outcomes for patients with HER2-positive breast cancer. The recognition of HER2 as a crucial therapeutic target has transformed treatment strategies, particularly in early and advanced stages of the disease.

Recent developments include a variety of HER2-targeted agents such as monoclonal antibodies, tyrosine kinase inhibitors, and antibody-drug conjugates (ADCs). Monoclonal antibodies like trastuzumab have been foundational in treating HER2-positive breast cancer, significantly enhancing survival rates. The introduction of ADCs, such as trastuzumab emtansine (T-DM1), has also provided substantial benefits, especially for patients who have progressed after initial therapies [7][8].

A major focus has been on dual HER2-targeted therapies, which combine different mechanisms to improve efficacy. This approach has been particularly effective in the neoadjuvant setting, where combining chemotherapy with dual anti-HER2 therapy has shown synergistic anti-tumor effects. Clinical trials have demonstrated that this strategy can guide adjuvant therapy decisions based on the response to neoadjuvant treatment [9].

Additionally, the landscape of HER2-targeted therapies is expanding to include bispecific antibodies and novel tyrosine kinase inhibitors, which may provide effective options for patients with lower HER2 expression or mutations [10]. The use of predictive biomarkers to tailor therapies is also gaining traction, as identifying patients who will benefit from specific treatments can minimize toxicity and improve overall treatment outcomes [11].

Moreover, the understanding of tumor microenvironments and the mechanisms behind resistance to HER2 therapies has spurred the exploration of combination therapies with immune checkpoint inhibitors, CDK4/6 inhibitors, and PI3K/AKT/mTOR inhibitors [8]. These strategies aim not only to enhance the efficacy of HER2-targeted treatments but also to overcome resistance, which remains a significant challenge in the management of HER2-positive breast cancer [12].

In summary, the advances in HER2-targeted therapies have revolutionized the treatment landscape for breast cancer, with ongoing research aimed at optimizing treatment regimens, minimizing toxicity, and enhancing patient outcomes through personalized medicine approaches. The continuous development of new agents and combination strategies holds promise for further improving survival rates and quality of life for patients with HER2-positive breast cancer [13][14].

2.2 Hormonal Therapies ​

Recent advances in breast cancer treatment, particularly in the realm of targeted therapies and hormonal therapies, have significantly transformed the management of this prevalent malignancy. A multidisciplinary approach has emerged, focusing on personalized medicine that leverages molecular profiling and genetic insights to tailor treatment strategies for individual patients.

One of the pivotal advancements in hormonal therapy is the understanding of the pharmacogenetics of tamoxifen metabolism, which allows for the individualization of hormonal therapy based on a patient's unique metabolic profile. This approach enhances the efficacy of treatment by optimizing drug selection and dosage, thereby improving patient outcomes [4].

Additionally, recent research highlights the development of novel targeted therapies that extend beyond traditional hormone receptors and human epidermal growth factor receptor 2 (HER2). These include inhibitors targeting cyclin-dependent kinases (CDK4/6), which have shown promise in improving outcomes for hormone receptor-positive breast cancer. The integration of CDK4/6 inhibitors into treatment regimens has been associated with significant improvements in progression-free survival [15].

The emergence of antibody-drug conjugates (ADCs) and immune checkpoint inhibitors has further expanded the arsenal of therapeutic options available for breast cancer, particularly in the context of hormone receptor-positive and HER2-positive subtypes. These therapies aim to deliver cytotoxic agents directly to cancer cells while minimizing damage to healthy tissues [3].

Moreover, combination therapies that incorporate hormonal treatments with other modalities, such as immunotherapy and targeted therapies, are gaining traction. This multimodal approach is designed to overcome resistance mechanisms that often limit the effectiveness of single-agent therapies [6].

In summary, the latest advances in breast cancer treatment reflect a shift towards more personalized and targeted approaches. By harnessing the power of genetic profiling and novel therapeutic agents, clinicians are now better equipped to manage the complexities of breast cancer, leading to improved survival rates and enhanced quality of life for patients. The ongoing evolution in this field underscores the importance of continuous research and innovation to further refine treatment strategies and address the challenges posed by this heterogeneous disease.

3 Immunotherapy in Breast Cancer ​

3.1 Checkpoint Inhibitors ​

Recent advancements in breast cancer treatment, particularly in the realm of immunotherapy, have shown promising results, particularly with the use of immune checkpoint inhibitors. The immune checkpoint inhibitors, such as pembrolizumab, have been FDA-approved for treating PD-L1 positive metastatic and early-stage triple-negative breast cancer (TNBC), marking a significant milestone in the management of this aggressive cancer subtype. Ongoing clinical trials are expanding the use of immune checkpoint inhibitors to include hormone receptor-positive and HER2-positive breast cancer, suggesting a broadening of therapeutic options in the future [16].

Current research emphasizes the role of various immune checkpoints in breast cancer, including CD47, CD24, PD-L1, MHC-I, and STC-1. These checkpoints are pivotal in the mechanisms of immune evasion by breast tumors. The specific contributions of these immune checkpoints to breast carcinogenesis and metastasis are still under investigation, indicating a need for further exploration to enhance the efficacy of immunotherapy [17].

Combination therapies involving immune checkpoint inhibitors and other treatment modalities, such as chemotherapy, have shown enhanced effectiveness. For instance, studies indicate that combining immune checkpoint inhibitors with chemotherapy can yield sustained clinical responses and improve overall survival rates in patients with advanced TNBC [18]. Additionally, the integration of novel therapeutic strategies, such as bispecific antibodies and chimeric antigen receptor (CAR) T-cell therapy, is being explored, with several ongoing clinical trials assessing their safety and efficacy [19].

The landscape of breast cancer immunotherapy is rapidly evolving, with emerging evidence suggesting that immune checkpoint inhibitors may not only be effective as monotherapy but also in combination with conventional treatments. For example, there is a growing interest in understanding the interplay between radiotherapy and immune checkpoint inhibitors, which may lead to synergistic effects that enhance treatment outcomes [20].

Furthermore, the development of predictive biomarkers is crucial for optimizing patient selection for immunotherapy. While PD-L1 status has been a common focus, it has not consistently served as a reliable discriminator in early-stage breast cancer trials. Therefore, ongoing research aims to identify additional biomarkers that can better predict responses to immunotherapy, thereby facilitating personalized treatment approaches [21].

In conclusion, the advancements in immunotherapy, particularly through the use of immune checkpoint inhibitors, represent a significant shift in the treatment paradigm for breast cancer. As research continues to unravel the complexities of immune evasion and response, the future of breast cancer therapy is likely to involve more tailored and effective immunotherapeutic strategies that leverage the immune system's potential against this disease [22].

3.2 Vaccine Therapies ​

Recent advancements in breast cancer treatment, particularly in the realm of immunotherapy, have garnered significant attention, especially concerning vaccine therapies. The evolution of cancer immunotherapy has led to promising strategies aimed at enhancing the immune response against breast cancer cells, thereby improving patient outcomes.

One of the pivotal developments in vaccine therapies is the focus on targeting tumor-associated antigens and tumor-specific antigens. Therapeutic cancer vaccines are designed to stimulate the immune system to recognize and attack cancer cells more effectively. The use of next-generation sequencing technologies and computational analyses has made personalized vaccination approaches possible, tailoring treatments to the unique antigenic profiles of individual tumors. However, while the potential for neoantigen-based treatments exists, there have been limited reports of success in breast cancer, leading to a greater emphasis on overexpressed antigens, particularly those derived from the human epidermal growth factor receptor 2 (HER2) [1].

In the context of HER2-positive breast cancer, the clinical application of monoclonal antibodies such as trastuzumab and pertuzumab has been established as a successful passive immunotherapy, significantly improving patient survival rates. Additionally, the combination of these antibodies with other therapeutic modalities is being explored to enhance efficacy further [23]. The emergence of immune checkpoint inhibitors, which block pathways such as PD-1/PD-L1, has also shown clinical benefits across various trials, contributing to the expanding arsenal of immunotherapeutic options available for breast cancer patients [23].

Furthermore, recent research has emphasized the role of therapeutic vaccines in eliciting immune responses against breast cancer. These vaccines can be categorized based on their delivery platforms and the nature of the antigens they target. Clinical trials are increasingly investigating the efficacy of these vaccines in conjunction with other treatment modalities, including immune checkpoint inhibitors and chemotherapy, to maximize therapeutic outcomes [15][24].

Adoptive T-cell immunotherapies are also gaining traction as a novel approach in breast cancer treatment. This strategy involves the engineering of T-cells to specifically target cancer cells, thereby enhancing the immune response against tumors [25]. Moreover, ongoing clinical trials are assessing the safety and efficacy of these innovative immunotherapeutic strategies, which may provide new avenues for patients, particularly those with aggressive subtypes like triple-negative breast cancer (TNBC) [26].

In summary, the landscape of breast cancer treatment is rapidly evolving, with significant advancements in immunotherapy, particularly through vaccine therapies. These developments reflect a shift towards more personalized and targeted treatment strategies that harness the power of the immune system to combat breast cancer more effectively. The integration of novel therapeutic approaches, such as therapeutic vaccines, immune checkpoint inhibitors, and adoptive cell therapies, holds promise for improving patient outcomes and addressing the challenges posed by this heterogeneous disease.

4 The Role of Genetic Profiling ​

4.1 Biomarkers in Treatment Decision-Making ​

Recent advancements in breast cancer treatment have significantly transformed the landscape of oncology, primarily driven by the integration of genetic profiling and the identification of various biomarkers that guide treatment decision-making. The emergence of precision medicine has marked a new era in the management of breast cancer, enabling tailored therapies based on individual tumor characteristics.

One of the critical advancements is the approval of personalized therapies and corresponding biomarkers, which has shifted the role of pathologists to a more central position in breast cancer management. This evolution necessitates a thorough understanding of complex algorithms and diagnostic modalities used to assess predictive and prognostic biomarkers, which are essential for delivering quality oncology care (Najjar & Allison, 2022) [27].

Biomarkers such as estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) have become pivotal in categorizing breast cancers into distinct treatment groups. These biomarkers not only guide the choice of therapies but also serve as predictive indicators for specific targeted treatments. For instance, in early-stage ER-positive/HER2-negative breast cancer, multi-gene expression panels like OncotypeDX have established themselves as the new standard for determining the necessity of adding chemotherapy to endocrine therapy (Najjar & Allison, 2022) [27]. Furthermore, in aggressive subtypes such as ER-negative/HER2-positive or triple-negative breast cancers, the response to neoadjuvant therapy has emerged as a useful biomarker to inform additional treatment strategies for patients showing incomplete responses.

The Ki67 marker has gained prominence for its ability to identify high-risk ER-positive and HER2-negative cancers, especially when considering the addition of cell cycle inhibitors like abemaciclib to endocrine therapy (Najjar & Allison, 2022) [27]. In the metastatic setting, various predictive biomarkers have surfaced, including recommendations for germline BRCA mutation testing in all metastatic patients, which can help determine eligibility for PARP inhibitor therapy. Other biomarkers, such as PD-L1 and PIK3CA mutation status, are also critical in assessing treatment options like immunotherapy and PI3K inhibitors, respectively (Najjar & Allison, 2022) [27].

The ongoing evolution of breast cancer biomarkers extends beyond traditional markers. Advances in multiomics technologies have unveiled new molecular biomarkers, including genetic and post-transcriptional alterations, which are crucial for more precise therapeutic decisions. These biomarkers aid in patient stratification and the differentiation of tumor stages, thus enhancing treatment selection (Alvarez-Frutos et al., 2023) [28].

Additionally, the integration of pharmacogenetics into breast cancer management has become increasingly relevant. Understanding a patient's tumor characteristics at both the molecular and constitutional levels is essential for optimizing drug efficacy and minimizing toxicity (Ciccolini et al., 2015) [29]. The utilization of biomarkers in this context allows for the identification of patient subsets most likely to benefit from specific therapies, thereby facilitating a more personalized approach to treatment.

Moreover, emerging treatments such as cyclin-dependent kinases 4/6 (CDK4/6) inhibitors, antibody-drug conjugates (ADCs), and immune checkpoint inhibitors (ICIs) have significantly improved outcomes for various breast cancer subtypes (Bai et al., 2025) [3]. The incorporation of liquid biopsy technologies provides a non-invasive method for real-time monitoring of tumor evolution and treatment response, enabling dynamic adjustments to therapeutic strategies.

In conclusion, the latest advances in breast cancer treatment underscore the importance of genetic profiling and biomarkers in guiding therapeutic decisions. The ongoing research and development in this field promise to enhance patient outcomes through increasingly personalized and effective treatment options. The integration of comprehensive molecular diagnostics and the continuous identification of novel biomarkers will play a pivotal role in shaping the future of breast cancer management.

4.2 Genomic Assays and Personalized Medicine ​

Recent advancements in breast cancer treatment have significantly transformed the landscape of oncology, particularly through the integration of genetic profiling and personalized medicine. This evolution is underscored by the utilization of genomic assays that allow for tailored therapeutic strategies based on individual patient characteristics.

Genetic profiling has become pivotal in understanding the heterogeneity of breast cancer, which is recognized not as a singular disease but as a spectrum of various subtypes with distinct biological behaviors. The implementation of molecular diagnostics has enabled clinicians to classify tumors more accurately, thereby facilitating personalized treatment plans. For instance, targeted therapies such as human epidermal growth factor receptor 2 (HER2) inhibitors and cyclin-dependent kinases 4/6 (CDK4/6) inhibitors have demonstrated substantial efficacy in specific subtypes of breast cancer, including HER2-positive and hormone receptor-positive (HR+) cancers. These advancements have markedly improved clinical outcomes for patients suffering from these particular forms of the disease [30].

Pharmacogenomics, which examines how genetic variations influence drug metabolism and response, is also a crucial component of personalized medicine in breast cancer. This approach allows for the identification of single nucleotide polymorphisms (SNPs) that correlate with treatment resistance, thus serving as biomarkers that can predict therapeutic outcomes. Such genetic insights enable clinicians to optimize drug selection and dosage, thereby minimizing adverse effects and enhancing treatment efficacy [30].

The advent of next-generation sequencing (NGS) technologies has further propelled the field of precision oncology by providing comprehensive genomic data that can guide clinical decision-making. These technologies facilitate the identification of actionable mutations and genetic alterations that may be targeted by specific therapies. For example, emerging treatments such as PI3K inhibitors and poly (ADP-ribose) polymerase (PARP) inhibitors are being developed to target particular genetic mutations, offering new hope for patients with challenging subtypes like triple-negative breast cancer (TNBC) [3].

Moreover, the integration of liquid biopsy technologies has introduced a non-invasive method for real-time monitoring of tumor evolution and treatment response. This capability allows for dynamic adjustments to therapeutic regimens based on the ongoing assessment of the tumor's genetic landscape [3].

In summary, the latest advances in breast cancer treatment hinge on the principles of personalized medicine, driven by genetic profiling and innovative genomic assays. These developments not only enhance the precision of therapeutic strategies but also hold the potential to improve survival rates and quality of life for breast cancer patients. Continued research in this domain is essential to overcome existing challenges, such as drug resistance and the need for broader access to genomic testing, thereby further refining personalized treatment approaches [2].

5 Integrating Emerging Technologies ​

5.1 Liquid Biopsies ​

Recent advancements in breast cancer treatment have prominently featured the integration of liquid biopsy technologies, which offer a minimally invasive approach to monitoring and diagnosing the disease. Liquid biopsies involve the analysis of tumor-derived materials such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and extracellular vesicles (EVs) found in bodily fluids, primarily blood. This innovative technique enables real-time assessment of tumor dynamics and therapeutic responses, thus playing a crucial role in personalized medicine for breast cancer patients.

Liquid biopsy has shown significant potential in predicting disease progression and monitoring treatment responses. For instance, specific genetic mutations and methylation signatures in ctDNA can be utilized for early breast cancer screening, monitoring minimal residual disease, and tracking mechanisms of drug resistance. The enumeration of CTCs, with thresholds such as ≥1/7.5 mL in early-stage cancer or ≥5/7.5 mL in metastatic cancer, correlates with prognostic stratification and the efficacy of immunotherapy treatments (Qiu et al. 2025) [31].

The advantages of liquid biopsy over traditional tissue biopsies include non-invasiveness, accessibility, and the ability to capture the molecular heterogeneity of tumors. This is particularly important in breast cancer, which exhibits significant molecular diversity, leading to varying clinical features and treatment responses across different subtypes. Liquid biopsy techniques have thus emerged as essential tools for precision diagnosis and treatment in breast cancer, enabling dynamic monitoring of key biomarkers (Cayrefourcq and Alix-Panabières 2020) [32].

Recent studies have highlighted the technological advancements that enhance the sensitivity and specificity of liquid biopsies. For example, Surface-Enhanced Raman Spectroscopy (SERS) has been employed to detect biomarkers in liquid biopsies, providing high sensitivity and the ability to analyze multiple biomarkers simultaneously (Liu et al. 2024) [33]. Furthermore, advancements in biosensor technologies are enabling the conversion of biomarker signals into quantifiable outputs, facilitating early detection and monitoring of breast cancer (Cao et al. 2025) [34].

Despite these advancements, challenges remain in the standardization of liquid biopsy techniques and the resolution of low-abundance variants. Ongoing research aims to integrate multi-omics data and leverage artificial intelligence to enhance the clinical translation of liquid biopsy technologies (Qiu et al. 2025) [31].

In summary, the integration of liquid biopsy technologies into breast cancer treatment represents a transformative approach that aligns with the principles of personalized medicine. As research continues to address existing challenges and refine these technologies, liquid biopsies are expected to play an increasingly vital role in the early detection, monitoring, and treatment of breast cancer, ultimately improving patient outcomes.

5.2 Artificial Intelligence in Treatment Planning ​

Recent advancements in breast cancer treatment have significantly benefited from the integration of artificial intelligence (AI) technologies, which are reshaping treatment planning and management. AI is increasingly recognized for its potential to enhance diagnostic precision, personalize treatment strategies, and predict therapeutic outcomes.

AI technologies are being applied across various domains in breast cancer care. For instance, they improve the quality of medical imaging, which is crucial for early detection and accurate diagnosis. Techniques such as digital mammography, magnetic resonance imaging (MRI), and ultrasound are enhanced by AI-driven image analysis, which assists in lesion detection and characterization. AI algorithms can perform rapid segmentation of breast lesions and classify them based on malignancy, thus supporting clinicians in making informed decisions about patient management[35].

Moreover, AI is playing a pivotal role in the biological characterization of breast cancer, including staging and subtyping through classification technologies. This capability allows for a more tailored approach to treatment, aligning with the principles of precision oncology. For example, AI can integrate multi-omics data to predict clinical outcomes, such as treatment response and survival rates, which is essential for developing individualized treatment plans[3][36].

In the context of molecular pathology, AI is being utilized to analyze gene expression profiles and RNA sequencing data, which aids in the identification of biomarkers associated with breast cancer progression. The use of machine learning algorithms, such as Random Forest and Convolutional Neural Networks (CNNs), has shown promise in enhancing the accuracy of prognostic assessments and optimizing drug responses[37].

The advent of precision medicine has further revolutionized breast cancer treatment by introducing targeted therapies that specifically address the unique molecular characteristics of different breast cancer subtypes. Innovations such as cyclin-dependent kinases 4/6 (CDK4/6) inhibitors, antibody-drug conjugates (ADCs), and immune checkpoint inhibitors (ICIs) have demonstrated improved outcomes for various subtypes, including hormone receptor-positive and triple-negative breast cancer[3][38].

Additionally, the integration of liquid biopsy technologies, which offer a non-invasive method for monitoring tumor evolution and treatment response, represents a significant advancement in breast cancer management. This approach allows for dynamic adjustments to therapy based on real-time data, thereby enhancing treatment efficacy and minimizing side effects[3].

In summary, the integration of AI in breast cancer treatment planning is transforming patient care by improving diagnostic accuracy, personalizing treatment strategies, and enabling real-time monitoring of therapeutic responses. As research progresses, these technologies are expected to further refine breast cancer management, ultimately leading to better patient outcomes and enhanced quality of life for those affected by this disease.

6 Challenges and Future Directions ​

6.1 Addressing Resistance to Therapy ​

Recent advancements in breast cancer treatment have been marked by significant developments in understanding the mechanisms of therapy resistance, which pose a major challenge in managing this heterogeneous disease. Resistance to therapy can arise from various factors, including genetic mutations, dysregulation of receptors and signaling pathways, alterations in drug metabolism and transport, cellular heterogeneity, and modifications in the tumor microenvironment [39].

One of the key areas of focus has been on the different subtypes of breast cancer, such as Luminal A, Luminal B, HER2-enriched, and triple-negative breast cancer (TNBC). Each subtype exhibits distinct molecular and histopathological characteristics, necessitating tailored therapeutic approaches [39]. TNBC, in particular, presents a challenge due to limited treatment options, with chemotherapy remaining the standard approach while immunotherapy is emerging as a complementary strategy [39].

Recent literature emphasizes the importance of combination therapies to combat resistance. These include integrating various treatment modalities such as radiation therapy with adjuvant therapy, endocrine therapy with chemotherapy, and targeted therapy with immunotherapy [6]. The use of nanotechnology in combination therapies has also gained traction, as it offers a promising avenue for enhancing drug delivery and minimizing side effects while addressing resistance [40].

Furthermore, advancements in multi-omics data integration and artificial intelligence are providing new insights into therapy resistance mechanisms and aiding in the development of predictive models for treatment outcomes [39]. The integration of these technologies can enhance the efficacy of treatment regimens by allowing for more personalized approaches that consider the unique biological characteristics of each patient's tumor [39].

The role of exosomes in mediating drug resistance has also been highlighted, as they facilitate intercellular communication within the tumor microenvironment [41]. This underscores the need for continued research into the biological pathways that contribute to resistance, as understanding these mechanisms can lead to the identification of novel therapeutic targets and strategies to circumvent resistance.

Moreover, therapeutic vaccines targeting tumor-associated antigens are emerging as a potential strategy to enhance immune responses against breast cancer [1]. Although the immunogenicity of breast cancer is limited, ongoing research aims to optimize vaccine delivery platforms and personalize treatment based on individual tumor profiles [1].

In summary, addressing resistance to therapy in breast cancer requires a multifaceted approach that incorporates combination therapies, nanotechnology, and personalized medicine strategies. Continued research and clinical trials are essential to refine these approaches and ultimately improve patient outcomes in the face of therapeutic resistance [6][39][42].

6.2 Improving Access to Innovative Treatments ​

Recent advancements in breast cancer treatment have been significantly influenced by the integration of precision medicine, molecular diagnostics, and innovative therapeutic strategies. These developments aim to enhance treatment efficacy while minimizing adverse effects, thereby improving patient outcomes.

One of the pivotal shifts in breast cancer therapy is the move towards biomarker-driven approaches. The identification of specific molecular alterations has allowed for tailored treatments that are more effective for individual tumor profiles. For instance, the advent of cyclin-dependent kinase 4/6 (CDK4/6) inhibitors, antibody-drug conjugates (ADCs), and immune checkpoint inhibitors (ICIs) has markedly improved outcomes for various breast cancer subtypes, including hormone receptor-positive (HR+), HER2-positive (HER2+), and triple-negative breast cancer (TNBC) [3].

Moreover, advances in genetic profiling and molecular diagnostics have facilitated the stratification of patients based on their risk of recurrence and treatment responsiveness. This has led to the development of clinical guidelines that prioritize individualized treatment plans, thus reducing the likelihood of overtreatment and unnecessary side effects [5]. For example, the incorporation of genetic studies is enhancing our understanding of tumor biology, which is crucial for developing adjuvant therapies aimed at preventing metastasis in select patients [5].

In addition to precision medicine, the utilization of nanotechnology in breast cancer treatment has shown promising potential. Nanoparticulate systems can enhance drug delivery by overcoming biological barriers, allowing for prolonged circulation time and targeted accumulation of therapeutic agents within tumors. This innovative approach aims to reduce toxicity and combat drug resistance, which has been a significant challenge in breast cancer management [43].

Despite these advancements, challenges remain in ensuring equitable access to innovative treatments. The implementation of molecular tumor boards and the push for affordable molecular diagnostics are critical steps toward making these advanced therapies accessible to a broader patient population [2]. Furthermore, ongoing research into combination therapies, which integrate various treatment modalities such as immunotherapy, targeted therapy, and conventional chemotherapy, is essential for improving treatment efficacy and overcoming resistance [6].

Future directions in breast cancer treatment will likely focus on the continuous refinement of therapeutic strategies, including the exploration of immune-modulatory agents and the potential of next-generation sequencing for personalized vaccination approaches [1]. As the field evolves, the integration of artificial intelligence and advanced imaging techniques will further enhance diagnostic precision and treatment personalization [3].

In summary, the latest advances in breast cancer treatment underscore a paradigm shift towards precision medicine, the incorporation of nanotechnology, and the importance of personalized approaches. However, addressing the accessibility of these innovative treatments remains a crucial challenge that requires ongoing efforts in research, policy, and clinical practice.

7 Conclusion ​

The recent advancements in breast cancer treatment highlight a transformative shift towards personalized medicine, driven by targeted therapies, immunotherapies, and genetic profiling. Key findings indicate that HER2-targeted therapies and hormonal therapies have significantly improved patient outcomes, particularly through the integration of novel agents and combination strategies. Immunotherapy, especially with immune checkpoint inhibitors and vaccine therapies, is expanding treatment options, particularly for aggressive subtypes like triple-negative breast cancer. Furthermore, the role of genetic profiling and biomarkers in guiding treatment decisions has become increasingly pivotal, enabling more tailored therapeutic approaches. Emerging technologies, such as liquid biopsies and artificial intelligence, are set to revolutionize diagnostic accuracy and treatment planning, enhancing real-time monitoring and personalized strategies. Despite these advancements, challenges such as therapy resistance and access to innovative treatments persist. Future research must focus on overcoming these obstacles while continuing to refine treatment modalities and improve patient outcomes. Overall, the landscape of breast cancer treatment is evolving rapidly, with a clear emphasis on individualized care that addresses the complexities of this heterogeneous disease.

References ​

  • [1] Lianru Zhang;Xipeng Zhou;Huizi Sha;Li Xie;Baorui Liu. Recent Progress on Therapeutic Vaccines for Breast Cancer.. Frontiers in oncology(IF=3.3). 2022. PMID:35734599. DOI: 10.3389/fonc.2022.905832.
  • [2] Maria Grazia Carnevale;Riccardo Ray Colciago;Maria Carmen De Santis;Laura Cortesi;Cinzia De Marco;Antonio Marra;Andrea Vingiani;Franco Nolè;Giuseppe Curigliano;Giancarlo Pruneri;Antonio Llombart-Cussac;Serena Di Cosimo;Javier Cortes. Advancing breast cancer therapy in the era of molecular diagnostics.. Breast (Edinburgh, Scotland)(IF=7.9). 2025. PMID:40424679. DOI: 10.1016/j.breast.2025.104488.
  • [3] Jingwen Bai;Yiyang Gao;Guojun Zhang. The treatment of breast cancer in the era of precision medicine.. Cancer biology & medicine(IF=8.4). 2025. PMID:40269562. DOI: .
  • [4] Sandhya Pruthi;Judy C Boughey;Kathleen R Brandt;Amy C Degnim;Grace K Dy;Matthew P Goetz;Edith A Perez;Carol A Reynolds;Paula J Schomberg;James N Ingle. A multidisciplinary approach to the management of breast cancer, part 2: therapeutic considerations.. Mayo Clinic proceedings(IF=6.7). 2007. PMID:17803883. DOI: 10.4065/82.9.1131.
  • [5] Antonio Llombart-Cussac. Improving decision-making in early breast cancer: who to treat and how?. Breast cancer research and treatment(IF=3.0). 2008. PMID:19082929. DOI: 10.1007/s10549-008-0234-8.
  • [6] Shivaprasad Gadag;Shristi Sinha;Yogendra Nayak;Sanjay Garg;Usha Y Nayak. Combination Therapy and Nanoparticulate Systems: Smart Approaches for the Effective Treatment of Breast Cancer.. Pharmaceutics(IF=5.5). 2020. PMID:32521684. DOI: 10.3390/pharmaceutics12060524.
  • [7] José Baselga;Robert E Coleman;Javier Cortés;Wolfgang Janni. Advances in the management of HER2-positive early breast cancer.. Critical reviews in oncology/hematology(IF=5.6). 2017. PMID:29042085. DOI: 10.1016/j.critrevonc.2017.10.001.
  • [8] Sonia Pernas;Sara M Tolaney. HER2-positive breast cancer: new therapeutic frontiers and overcoming resistance.. Therapeutic advances in medical oncology(IF=4.2). 2019. PMID:30911337. DOI: 10.1177/1758835919833519.
  • [9] Gavin P Dowling;Stephen Keelan;Sinead Toomey;Gordon R Daly;Bryan T Hennessy;Arnold D K Hill. Review of the status of neoadjuvant therapy in HER2-positive breast cancer.. Frontiers in oncology(IF=3.3). 2023. PMID:36793602. DOI: 10.3389/fonc.2023.1066007.
  • [10] Jianli Zhao;Ziyue Zhou;Phei Er Saw;Erwei Song. Silver Jubilee of HER2 targeting: a clinical success in breast cancer.. Journal of the National Cancer Center(IF=9.4). 2025. PMID:40814444. DOI: 10.1016/j.jncc.2024.12.008.
  • [11] Kristina Goutsouliak;Jamunarani Veeraraghavan;Vidyalakshmi Sethunath;Carmine De Angelis;C Kent Osborne;Mothaffar F Rimawi;Rachel Schiff. Towards personalized treatment for early stage HER2-positive breast cancer.. Nature reviews. Clinical oncology(IF=82.2). 2020. PMID:31836877. DOI: 10.1038/s41571-019-0299-9.
  • [12] Antonio Marra;Sarat Chandarlapaty;Shanu Modi. Management of patients with advanced-stage HER2-positive breast cancer: current evidence and future perspectives.. Nature reviews. Clinical oncology(IF=82.2). 2024. PMID:38191924. DOI: 10.1038/s41571-023-00849-9.
  • [13] Xiao-Nan Zhang;Ya Gao;Xi-Ya Zhang;Ning-Jie Guo;Wen-Qing Hou;Shu-Wu Wang;Yi-Chao Zheng;Ning Wang;Hong-Min Liu;Bo Wang. Detailed curriculum vitae of HER2-targeted therapy.. Pharmacology & therapeutics(IF=12.5). 2023. PMID:37075933. DOI: 10.1016/j.pharmthera.2023.108417.
  • [14] Vandana G Abramson;Ingrid A Mayer. Improving survival and limiting toxicity: latest advances in treating human epidermal growth factor receptor 2 overexpressing breast cancer.. Therapeutic advances in medical oncology(IF=4.2). 2012. PMID:22590487. DOI: 10.1177/1758834012440834.
  • [15] Mayassa J Bou-Dargham;Sophia Draughon;Vance Cantrell;Zahraa I Khamis;Qing-Xiang Amy Sang. Advancements in Human Breast Cancer Targeted Therapy and Immunotherapy.. Journal of Cancer(IF=3.2). 2021. PMID:34729098. DOI: 10.7150/jca.64205.
  • [16] Natalie K Heater;Surbhi Warrior;Janice Lu. Current and future immunotherapy for breast cancer.. Journal of hematology & oncology(IF=40.4). 2024. PMID:39722028. DOI: 10.1186/s13045-024-01649-z.
  • [17] Yue Gao;Xiaoyan Zhang;Mingqiang Ding;Zhenkun Fu;Lei Zhong. Targeting "don't eat me" signal: breast cancer immunotherapy.. Breast cancer research and treatment(IF=3.0). 2025. PMID:40100495. DOI: 10.1007/s10549-025-07659-w.
  • [18] Frederick M Howard;Dario Villamar;Gong He;Alexander T Pearson;Rita Nanda. The emerging role of immune checkpoint inhibitors for the treatment of breast cancer.. Expert opinion on investigational drugs(IF=4.1). 2022. PMID:34569400. DOI: 10.1080/13543784.2022.1986002.
  • [19] Yeonjoo Choi;Jiayi Tan;David Lin;Jin Sun Lee;Yuan Yuan. Immunotherapy in Breast Cancer: Beyond Immune Checkpoint Inhibitors.. International journal of molecular sciences(IF=4.9). 2025. PMID:40332761. DOI: 10.3390/ijms26083920.
  • [20] Kassidy M Jungles;Erin A Holcomb;Ashley N Pearson;Kalli R Jungles;Caroline R Bishop;Lori J Pierce;Michael D Green;Corey W Speers. Updates in combined approaches of radiotherapy and immune checkpoint inhibitors for the treatment of breast cancer.. Frontiers in oncology(IF=3.3). 2022. PMID:36387071. DOI: 10.3389/fonc.2022.1022542.
  • [21] Mitchell J Elliott;Brooke Wilson;David W Cescon. Current Treatment and Future Trends of Immunotherapy in Breast Cancer.. Current cancer drug targets(IF=3.5). 2022. PMID:35301950. DOI: 10.2174/1568009622666220317091723.
  • [22] Véronique Debien;Alex De Caluwé;Xiaoxiao Wang;Martine Piccart-Gebhart;Vincent K Tuohy;Emanuela Romano;Laurence Buisseret. Immunotherapy in breast cancer: an overview of current strategies and perspectives.. NPJ breast cancer(IF=7.6). 2023. PMID:36781869. DOI: 10.1038/s41523-023-00508-3.
  • [23] Tingting Yang;Lihua Kang;Dan Li;Yanqiu Song. Immunotherapy for HER-2 positive breast cancer.. Frontiers in oncology(IF=3.3). 2023. PMID:37007133. DOI: 10.3389/fonc.2023.1097983.
  • [24] Laura A Huppert;Veronica Mariotti;A Jo Chien;Hatem H Soliman. Emerging immunotherapeutic strategies for the treatment of breast cancer.. Breast cancer research and treatment(IF=3.0). 2022. PMID:34716870. DOI: 10.1007/s10549-021-06406-1.
  • [25] Xue Li;Yunan Zhu;Jinfeng Yi;Yuhan Deng;Bo Lei;He Ren. Adoptive cell immunotherapy for breast cancer: harnessing the power of immune cells.. Journal of leukocyte biology(IF=3.1). 2024. PMID:37949484. DOI: 10.1093/jleuko/qiad144.
  • [26] Ran Ran;Xi Chen;Jin Yang;Binghe Xu. Immunotherapy in breast cancer: current landscape and emerging trends.. Experimental hematology & oncology(IF=13.5). 2025. PMID:40405250. DOI: 10.1186/s40164-025-00667-y.
  • [27] Saleh Najjar;Kimberly H Allison. Updates on breast biomarkers.. Virchows Archiv : an international journal of pathology(IF=3.1). 2022. PMID:35029776. DOI: 10.1007/s00428-022-03267-x.
  • [28] Lucia Alvarez-Frutos;Daniel Barriuso;Mercedes Duran;Mar Infante;Guido Kroemer;Roberto Palacios-Ramirez;Laura Senovilla. Multiomics insights on the onset, progression, and metastatic evolution of breast cancer.. Frontiers in oncology(IF=3.3). 2023. PMID:38169859. DOI: 10.3389/fonc.2023.1292046.
  • [29] Joseph Ciccolini;Raphaelle Fanciullino;Cindy Serdjebi;Gérard Milano. Pharmacogenetics and breast cancer management: current status and perspectives.. Expert opinion on drug metabolism & toxicology(IF=3.4). 2015. PMID:25690018. DOI: 10.1517/17425255.2015.1008447.
  • [30] Devika Tripathi;Neal M Davies;P S Rajinikanth;Prashant Pandey. Advancements in Targeted Therapies and Pharmacogenomics for Personalized Breast Cancer Treatment: The Role of Gene SNPs in Treatment Resistance.. Current gene therapy(IF=3.3). 2025. PMID:40589001. DOI: 10.2174/0115665232373621250618181424.
  • [31] Peng Qiu;Xiaopeng Yu;Fushuang Zheng;Xi Gu;QianQiu Huang;Ke Qin;Yueting Hu;Bowen Liu;Tianming Xu;Tao Zhang;Guanglei Chen;Yang Liu. Advancements in liquid biopsy for breast Cancer: Molecular biomarkers and clinical applications.. Cancer treatment reviews(IF=10.5). 2025. PMID:40540857. DOI: 10.1016/j.ctrv.2025.102979.
  • [32] Laure Cayrefourcq;Catherine Alix-Panabières. Clinical relevance of liquid biopsy in breast cancer: update in 2020.. Expert review of molecular diagnostics(IF=3.6). 2020. PMID:32856493. DOI: 10.1080/14737159.2020.1816828.
  • [33] Xiaobei Liu;Yining Jia;Chao Zheng. Recent progress in Surface-Enhanced Raman Spectroscopy detection of biomarkers in liquid biopsy for breast cancer.. Frontiers in oncology(IF=3.3). 2024. PMID:39040452. DOI: 10.3389/fonc.2024.1400498.
  • [34] Linhong Cao;Qingli Duan;Zixin Zhu;Xuejing Xu;Jinbo Liu;Baolin Li. Liquid biopsy technologies: innovations and future directions in breast cancer biomarker detection.. Biomedical microdevices(IF=3.3). 2025. PMID:39849252. DOI: 10.1007/s10544-025-00734-5.
  • [35] Jiadong Zhang;Jiaojiao Wu;Xiang Sean Zhou;Feng Shi;Dinggang Shen. Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches.. Seminars in cancer biology(IF=15.7). 2023. PMID:37704183. DOI: 10.1016/j.semcancer.2023.09.001.
  • [36] Xin Xiong;Le-Wei Zheng;Yu Ding;Yu-Fei Chen;Yu-Wen Cai;Lei-Ping Wang;Liang Huang;Cui-Cui Liu;Zhi-Ming Shao;Ke-Da Yu. Breast cancer: pathogenesis and treatments.. Signal transduction and targeted therapy(IF=52.7). 2025. PMID:39966355. DOI: 10.1038/s41392-024-02108-4.
  • [37] Sahar Rezaei;Zeinab Hamedani;Kousar Ahmadi;Parna Ghannadikhosh;Alireza Motamedi;Maedeh Athari;Hengameh Yousefi;Amir Hossein Rajabi;Alireza Abbasi;Hossein Arabi. Role of machine learning in molecular pathology for breast cancer: A review on gene expression profiling and RNA sequencing application.. Critical reviews in oncology/hematology(IF=5.6). 2025. PMID:40419230. DOI: 10.1016/j.critrevonc.2025.104780.
  • [38] Klaudia Dynarowicz;Dorota Bartusik-Aebisher;Katarzyna Koszarska;Aleksandra Kotlińska;David Aebisher. Breast Cancer Treatments: Drugs Targeting the PI3K/AKT/mTOR Pathway, TNBC Therapy and Future Directions: A Review.. Life (Basel, Switzerland)(IF=3.4). 2025. PMID:41157256. DOI: 10.3390/life15101583.
  • [39] Guo-Yu Wu;Ming-Zhu Xiao;Wei-Chao Hao;Zhao-Shou Yang;Xin-Ran Liu;Dian-Shuang Xu;Zhong-Xing Peng;Lu-Yong Zhang. Drug resistance in breast cancer: Mechanisms and strategies for management.. Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy(IF=21.7). 2025. PMID:40795794. DOI: 10.1016/j.drup.2025.101288.
  • [40] Ramesh Chaudhari;Vishva Patel;Ashutosh Kumar. Cutting-edge approaches for targeted drug delivery in breast cancer: beyond conventional therapies.. Nanoscale advances(IF=4.6). 2024. PMID:38694472. DOI: 10.1039/d4na00086b.
  • [41] Lihui Liu;Daqing Jiang;Shi Bai;Xinfeng Zhang;Yue Kang. Research progress of exosomes in drug resistance of breast cancer.. Frontiers in bioengineering and biotechnology(IF=4.8). 2023. PMID:38239920. DOI: 10.3389/fbioe.2023.1214648.
  • [42] Viviana Masoud;Gilles Pagès. Targeted therapies in breast cancer: New challenges to fight against resistance.. World journal of clinical oncology(IF=3.2). 2017. PMID:28439493. DOI: 10.5306/wjco.v8.i2.120.
  • [43] Xiaomeng Tang;Welley S Loc;Cheng Dong;Gail L Matters;Peter J Butler;Mark Kester;Craig Meyers;Yixing Jiang;James H Adair. The use of nanoparticulates to treat breast cancer.. Nanomedicine (London, England)(IF=3.9). 2017. PMID:28868970. DOI: 10.2217/nnm-2017-0202.

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