Vaccines in Breast Cancer: Challenges and Breakthroughs

Fatima, Gul Naz; Fatma, Hera; Saraf, Shailendra K.

doi:10.3390/diagnostics13132175

Cited by 5 publications

(3 citation statements)

References 209 publications

(259 reference statements)

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“…Seeking to produce more precise and repeatable outcomes, AI algorithms have been created to analyze TILs in light of the increased adoption of digital pathology. The degree of lymphocytic infiltrate in HER2 breast carcinoma was consequently detected and graded in one study using WSIs 63 . The outcomes demonstrated that the architectural set of characteristics effectively differentiated samples with high and low lymphocytic infiltrate the amount with a precision of classification greater than ninety percent 64 .…”

Section: Ai In Breast Pathologymentioning

confidence: 99%

Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer

Mohan Jha,

Prasada Kumar Mahapatra,

Abraham

et al. 2024

Int J Tre Onc Sci

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Breast Cancer (BC) is a major universal health problem. Early detection and precise diagnosis are vital for enlightening outcomes. Artificial Intelligence (AI) technologies can potentially revolutionize the field of BC by providing quantitative representations of medical images to assist in segmentation, diagnosis, and prognosis. AI can improve image quality, detect and segment breast lesions, classify cancer and predict its behavior, and integrate data from multiple sources to predict clinical outcomes. It can lead to more personalized and effective treatment for BC patients. Challenges faced by AI in real-life solicitations include data curation, model interpretability, and run-through guidelines. However, the clinical implementation of AI is expected to deliver vital guidance for patient-tailored management. BC is a major global health problem; early detection and treatment are crucial for improving outcomes. Imaging detection is a key screening, diagnosis, and treatment effectiveness assessment tool. However, the irresistible number of images creates a heavy capacity for radiologists and delays reporting. AI has the potential to revolutionize BC imaging by improving efficiency and accuracy. AI can recognize, segment, and diagnose tumor lesions automatically and analyze tumor images on a molecular level. It could lead to more personalized treatment strategies. However, AI-assisted imaging diagnosis is still in its early stages of development, and more research is needed to validate its clinical effectiveness. Therefore, AI is a promising new technology that has the potential to progress the diagnosis and treatment of BC, and AI-assisted imaging diagnosis is a promising new technology for improving the early detection and diagnosis of BC. More research is needed to bring this technology to clinical practice.

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Section: Ai In Breast Pathologymentioning

confidence: 99%

Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer

Mohan Jha,

Prasada Kumar Mahapatra,

Abraham

et al. 2024

Int J Tre Onc Sci

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“…These pathways play crucial roles in eliminating undesirable or damaged cells from the organism [ 68 , 69 , 70 ]. However, in BC, PCD becomes dysregulated, resulting in the survival and proliferation of cancer cells [ 71 , 72 , 73 ]. The process of PCD can be delineated into three stages: initiation, execution, and degradation and clearance.…”

Section: Stress Signaling and Programmed Cell Death In Bcmentioning

confidence: 99%

Nanoparticle-Based Antioxidants in Stress Signaling and Programmed Cell Death in Breast Cancer Treatment

et al. 2023

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Breast cancer (BC) is a complex and heterogeneous disease, and oxidative stress is a hallmark of BC. Oxidative stress is characterized by an imbalance between the production of reactive oxygen species (ROS) and antioxidant defense mechanisms. ROS has been implicated in BC development and progression by inducing DNA damage, inflammation, and angiogenesis. Antioxidants have been shown to scavenge ROS and protect cells from oxidative damage, thereby regulating signaling pathways involved in cell growth, survival, and death. Plants contain antioxidants like ascorbic acid, tocopherols, carotenoids, and flavonoids, which have been found to regulate stress signaling and PCD in BC. Combining different antioxidants has shown promise in enhancing the effectiveness of BC treatment. Antioxidant nanoparticles, when loaded with antioxidants, can effectively target breast cancer cells and enhance their cellular uptake. Notably, these nanoparticles have shown promising results in inducing PCD and sensitizing breast cancer cells to chemotherapy, even in cases where resistance is observed. This review aims to explore how nanotechnology can modulate stress signaling and PCD in breast cancer. By summarizing current research, it underscores the potential of nanotechnology in enhancing antioxidant properties for the treatment of breast cancer.

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“…Cancer vaccines offer several advantages over traditional therapies, mainly due to increased specificity, reduced toxicity, and the long-term effect produced by immunological memory. Such vaccines can be developed as a prophylactic or therapeutic strategy, in both cases aiming at selective biodistribution to cancer cells [156]. However, factors such as the inability to identify a single gene that works in anti-tumor therapy, the lack of tumor selectivity, the short duration of therapeutic gene expression, the difficulty of transfecting the entire tumor mass, and the strong antiviral immune response generated in the host are the main limitations for the application of gene therapy [21].…”

Section: Gene Therapymentioning

confidence: 99%

Fundamental Considerations of Targeted Drug Therapies for Breast Cancer

Castillo-Tobías,

Berlanga,

Poblano

et al. 2023

Future Pharmacology

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Breast cancer is a complex disease for which pharmacological treatment does not guarantee success or cure. In addition, current pharmacological therapies induce unwanted side effects due to their lack of specificity or selectivity. Therefore, it is necessary to develop new therapeutic options to improve these aspects. Currently, phytochemicals with antineoplastic properties have been identified from a wide variety of plant sources, and new therapeutic options have been developed based on the conjugation of drugs with polymeric matrices, resulting in nanoparticles or hydrogels with improved properties. Some antineoplastic drugs have been conjugated with antibodies to improve their selectivity and specificity. One of the most important advances in the treatment of breast cancer has been the development of cyclin inhibitors and gene therapy. This review provides an overview of drugs derived from medicinal plants and polymeric matrices with high potential for use in the treatment of breast cancer. We also highlight the clinical evidence for the use of anti-HER2 monoclonal antibodies and cyclin inhibitors in breast cancer, as well as the advantages of using conjugated antibodies. Finally, we mention some considerations that should be taken into account in the search for new therapeutic agents from phytochemicals, polymers, antibodies, cyclin inhibitors, and gene therapy focused on the treatment of breast cancer.

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Vaccines in Breast Cancer: Challenges and Breakthroughs

Cited by 5 publications

References 209 publications

Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer

Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer

Nanoparticle-Based Antioxidants in Stress Signaling and Programmed Cell Death in Breast Cancer Treatment

Fundamental Considerations of Targeted Drug Therapies for Breast Cancer

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