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Open AccessJournal ArticleDOI

Breast cancer, screening and diagnostic tools: All you need to know.

TLDR
This critical review gathers, for the first time, information concerning normal breast and cancer biology, established and emerging methods for screening and diagnosis, staging and grading, molecular and genetic biomarkers and key interdisciplinary information about these methods for physicians and scientists.
Abstract
Breast cancer is one of the most frequent malignancies among women worldwide. Methods for screening and diagnosis allow health care professionals to provide personalized treatments that improve the outcome and survival. Scientists and physicians are working side-by-side to develop evidence-based guidelines and equipment to detect cancer earlier. However, the lack of comprehensive interdisciplinary information and understanding between biomedical, medical, and technology professionals makes innovation of new screening and diagnosis tools difficult. This critical review gathers, for the first time, information concerning normal breast and cancer biology, established and emerging methods for screening and diagnosis, staging and grading, molecular and genetic biomarkers. Our purpose is to address key interdisciplinary information about these methods for physicians and scientists. Only the multidisciplinary interaction and communication between scientists, health care professionals, technical experts and patients will lead to the development of better detection tools and methods for an improved screening and early diagnosis.

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Journal ArticleDOI

Molecular Characterization of Exosomes for Subtype-Based Diagnosis of Breast Cancer.

TL;DR: A biomimetic vesicle designed by camouflaging catalytic DNA machinery with a breast cancer cell membrane enabled the molecular classification of circulating exosomes for subtype-based diagnosis through homotypic recognition and demonstrated feasibility and reliability for evaluating the molecular features of cancer cell-derived exosome.
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Nano-Based Theranostic Platforms for Breast Cancer: A Review of Latest Advancements

TL;DR: This review intends to highlight the recent advances in nanomedicine in BC treatment and diagnosis, emphasizing the targeting of BC cells that overexpress receptors of epidermal growth factors.
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Salivary biomarkers in breast cancer diagnosis: A systematic review and diagnostic meta‐analysis

TL;DR: This meta‐analysis assesses the diagnostic value of salivary biomarkers in differentiating between patients with breast cancer and controls and their utility as a nonaggressive approach for breast cancer diagnosis.
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Cost-effectiveness of oral cancer screening approaches by visual examination: A systematic review

TL;DR: In this paper, the authors present a systematic review of papers that have performed a full economic evaluation on oral cancer screening strategies using visual oral examination, where the main outcome measure was the incremental cost-effectiveness ratio.
Journal ArticleDOI

Applications of Iron Oxide Nanoparticles against Breast Cancer

TL;DR: Computerized tomography and magnetic resonance imaging utilizing iron-based magnetic nanoparticles are promising approaches for the radiological detection of breast cancer.
References
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Journal ArticleDOI

Hallmarks of cancer: the next generation.

TL;DR: Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer.
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Cancer statistics, 2016

TL;DR: Overall cancer incidence trends are stable in women, but declining by 3.1% per year in men, much of which is because of recent rapid declines in prostate cancer diagnoses, and brain cancer has surpassed leukemia as the leading cause of cancer death among children and adolescents.
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Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells

TL;DR: It is shown that exosomes contain both mRNA and microRNA, which can be delivered to another cell, and can be functional in this new location, and it is proposed that this RNA is called “exosomal shuttle RNA” (esRNA).
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Gene expression profiling predicts clinical outcome of breast cancer

TL;DR: DNA microarray analysis on primary breast tumours of 117 young patients is used and supervised classification is applied to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis, providing a strategy to select patients who would benefit from adjuvant therapy.
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Cancer Genome Landscapes

TL;DR: This work has revealed the genomic landscapes of common forms of human cancer, which consists of a small number of “mountains” (genes altered in a high percentage of tumors) and a much larger number of "hills" (Genes altered infrequently).
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