scholarly journals Advanced Approaches to Breast Cancer Classification and Diagnosis

2021 ◽  
Vol 11 ◽  
Author(s):  
M. Zubair ◽  
S. Wang ◽  
N. Ali

The International Agency for Research on Cancer (IARC) has recently reported a 66% increase in the global number of cancer deaths since 1960. In the US alone, about one in eight women is expected to develop invasive breast cancer(s) (breast cancer) at some point in their lifetime. Traditionally, a BC diagnosis includes mammography, ultrasound, and some high-end molecular bioimaging. Unfortunately, these techniques detect BC at a later stage. So early and advanced molecular diagnostic tools are still in demand. In the past decade, various histological and immuno-molecular studies have demonstrated that BC is highly heterogeneous in nature. Its growth pattern, cytological features, and expression of key biomarkers in BC cells including hormonal receptor markers can be utilized to develop advanced diagnostic and therapeutic tools. A cancer cell's progression to malignancy exhibits various vital biomarkers, many of which are still underrepresented in BC diagnosis and treatment. Advances in genetics have also enabled the development of multigene assays to detect genetic heterogeneity in BC. However, thus far, the FDA has approved only four such biomarkers—cancer antigens (CA); CA 15-3, CA 27-29, Human epidermal growth factor receptor 2 (HER2), and circulating tumor cells (CTC) in assessing BC in body fluids. An adequately structured portable-biosensor with its non-invasive and inexpensive point-of-care analysis can quickly detect such biomarkers without significantly compromising its specificity and selectivity. Such advanced techniques are likely to discriminate between BC and a healthy patient by accurately measuring the cell shape, structure, depth, intracellular and extracellular environment, and lipid membrane compositions. Presently, BC treatments include surgery and systemic chemo- and targeted radiation therapy. A biopsied sample is then subjected to various multigene assays to predict the heterogeneity and recurrence score, thus guiding a specific treatment by providing complete information on the BC subtype involved. Thus far, we have seven prognostic multigene signature tests for BC providing a risk profile that can avoid unnecessary treatments in low-risk patients. Many comparative studies on multigene analysis projected the importance of integrating clinicopathological information with genomic-imprint analysis. Current cohort studies such as MINDACT, TAILORx, Trans-aTTOM, and many more, are likely to provide positive impact on long-term patient outcome. This review offers consolidated information on currently available BC diagnosis and treatment options. It further describes advanced biomarkers for the development of state-of-the-art early screening and diagnostic technologies.

2018 ◽  
Vol 3 (5) ◽  
pp. e001069 ◽  
Author(s):  
Albert Picado ◽  
Israel Cruz ◽  
Maël Redard-Jacot ◽  
Alejandro G Schijman ◽  
Faustino Torrico ◽  
...  

It is estimated that between 8000 and 15 000 Trypanosoma cruzi infected babies are born every year to infected mothers in Chagas disease endemic countries. Currently, poor access to and performance of the current diagnostic algorithm, based on microscopy at birth and serology at 8–12 months after delivery, is one of the barriers to congenital Chagas disease (CCD) control. Detection of parasite DNA using molecular diagnostic tools could be an alternative or complement to current diagnostic methods, but its implementation in endemic regions remains limited. Prompt diagnosis and treatment of CCD cases would have a positive clinical and epidemiological impact. In this paper, we analysed the burden of CCD in Latin America, and the potential use of molecular tests to improve access to early diagnosis and treatment of T. cruzi infected newborns.


2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Jean Pierre Rutanga ◽  
Therese Nyirahabimana

Bacterial bloodstream infection (bBSI) represents any form of invasiveness of the blood circulatory system caused by bacteria and can lead to death among critically ill patients. Thus, there is a need for rapid and accurate diagnosis and treatment of patients with septicemia. So far, different molecular diagnostic tools have been developed. The majority of these tools focus on amplification based techniques such as polymerase chain reaction (PCR) which allows the detection of nucleic acids (both DNA and small RNAs) that are specific to bacterial species and sequencing or nucleic acid hybridization that allows the detection of bacteria in order to reduce delay of appropriate antibiotic therapy. However, there is still a need to improve sensitivity of most molecular techniques to enhance their accuracy and allow exact and on time antibiotic therapy treatment. In this regard, we conducted a systematic review of the existing studies conducted in molecular diagnosis of bBSIs, with the main aim of reporting on clinical significance and benefits of molecular diagnosis to patients. We searched both Google Scholar and PubMed. In total, eighteen reviewed papers indicate that shift from conventional diagnostic methods to molecular tools is needed and would lead to accurate diagnosis and treatment of bBSI.


Author(s):  
Debarshi Roy ◽  
Ramesh Bandla ◽  
Praveen Boddana ◽  
Rajesh Medisetty ◽  
Raghu Gogada

MiRNAs are 20-22 nucleotide long single-stranded non-coding RNA sequences, which can regulate post transcriptional activity of mRNA by binding with it at 3’UTR region (untranslated region). Thus deregulation of miRNA expression is responsible for dysregulating mRNA function which contributes in developing various diseases as well as cancerous phenotypes. Alteration of single nucleotide in miRNA sequence is one of the reasons behind deregulation of miRNA expression. The most frequent carcinoma in current day is breast cancer which causes a high mortality among women around the world as well as India. Despite of the advancement of diagnostic tools, strategies and treatment, the cases of breast cancer is increasing every year. There are plenty of biomarkers like ER, PR, Her2, Ki-67, etc available which are frequently used in diagnosis and treatment of breast cancer. After the discovery of MiRNA in 1993 in Caenorhabiditis elegans, it is attracting all the limelight in diagnosis and treatment of different carcinomas as well as breast cancer. In this review we will discuss on involvement of different types of MiRNAs and miR SNPs in breast cancer occurrence and susceptibility in a detailed manner.


Metabolites ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 170
Author(s):  
Sili Fan ◽  
Muhammad Shahid ◽  
Peng Jin ◽  
Arash Asher ◽  
Jayoung Kim

Breast cancer (BC) is a major global health issue and remains the second leading cause of cancer-related death in women, contributing to approximately 41,760 deaths annually. BC is caused by a combination of genetic and environmental factors. Although various molecular diagnostic tools have been developed to improve diagnosis of BC in the clinical setting, better detection tools for earlier diagnosis can improve survival rates. Given that altered metabolism is a characteristic feature of BC, we aimed to understand the comparative metabolic differences between BC and healthy controls. Metabolomics, the study of metabolism, can provide incredible insight and create useful tools for identifying potential BC biomarkers. In this study, we applied two analytical mass spectrometry (MS) platforms, including hydrophilic interaction chromatography (HILIC) and gas chromatography (GC), to generate BC-associated metabolic profiles using breast tissue from BC patients. These metabolites were further analyzed to identify differentially expressed metabolites in BC and their associated metabolic networks. Additionally, Chemical Similarity Enrichment Analysis (ChemRICH), MetaMapp, and Metabolite Set Enrichment Analysis (MSEA) identified significantly enriched clusters and networks in BC tissues. Since metabolomic signatures hold significant promise in the clinical setting, more effort should be placed on validating potential BC biomarkers based on identifying altered metabolomes.


2018 ◽  
Vol 35 (2) ◽  
pp. 118-127 ◽  
Author(s):  
Virginie Lemiale ◽  
Sandrine Valade ◽  
Laure Calvet ◽  
Eric Mariotte

Hemophagocytic syndrome remains a rare but life-threatening complication and is associated with intensive care unit (ICU) admission. The pathophysiology is based on a defect of cytotoxicity in T cells that results in a state of hyperinflammation in the presence of a trigger. As a consequence, patients may develop multiorgan failure. The diagnosis of hemophagocytic syndrome (HS) remains difficult and relies on persistant high-grade fevers in the absence of infection and on constellation of laboratory parameters. However, prompt diagnosis and treatment (supportive care and specific treatment) are associated with improved outcome. Interaction with other specialists (hematologist, internist) may improve the diagnosis and treatment strategy. This article describes diagnostic tools, organ failures associated with HS, main etiologies, and management.


2020 ◽  
Vol 21 (11) ◽  
pp. 1097-1102
Author(s):  
Drashti Desai ◽  
Pravin Shende

: Immunotherapy emerges as a treatment strategy for breast cancer marker, diagnosis and treatment. In this review, monoclonal antibodies (mAbs)-based passive and peptide vaccines as active immunotherapy approaches like activation of B-cells and T-cells are studied. Passive immunotherapy is mAbs-based therapy effective against tumor cells, which acts by targeting HER2, IGF 1R, VEGF, BCSC and immune checkpoints. Neuropeptide Y (NPY) and GPCR are the areas of interest to target BC metastases for on-targeting therapeutic action. Neuropeptide S (NPS) or NPS receptor 1, acts as a biomarker for Neuroendocrine tumors (NET), mostly characterized by synaptophysin and chromogranin-A expression or Ki-67 proliferation index. The protein fusion technologies arise as a promising avenue in plant expression systems for increased recombinant Ab accumulation and cost-efficient purification. Recently, mAbs-based immunotherapy effectiveness is appreciated as a novel therapeutic combination of chemotherapy and immunotherapy to reduce the side effects and improve therapeutic responsiveness. Synthetic drug resistance will be overcome by mAbs-based therapy through several clinical trials and detection methods need to be optimized for accuracy and precision. Pharmacokinetic attributes need to be accessed for preferred receptor-agonist activity without ligand accumulation.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sarah M. Bernhardt ◽  
Pallave Dasari ◽  
Danielle J. Glynn ◽  
Lucy Woolford ◽  
Lachlan M. Moldenhauer ◽  
...  

Abstract Background The Oncotype DX 21-gene Recurrence Score is predictive of adjuvant chemotherapy benefit for women with early-stage, estrogen receptor (ER)-positive, HER2-negative breast cancer. In premenopausal women, fluctuations in estrogen and progesterone during the menstrual cycle impact gene expression in hormone-responsive cancers. However, the extent to which menstrual cycling affects the Oncotype DX 21-gene signature remains unclear. Here, we investigate the impact of ovarian cycle stage on the 21-gene signature using a naturally cycling mouse model of breast cancer. Methods ER-positive mammary tumours were dissected from naturally cycling Mmtv-Pymt mice at either the estrus or diestrus phase of the ovarian cycle. The Oncotype DX 21-gene signature was assessed through quantitative real time-PCR, and a 21-gene experimental recurrence score analogous to the Oncotype DX Recurrence Score was calculated. Results Tumours collected at diestrus exhibited significant differences in expression of 6 Oncotype DX signature genes (Ki67, Ccnb1, Esr1, Erbb2, Grb7, Bag1; p ≤ 0.05) and a significant increase in 21-gene recurrence score (21.8 ± 2.4; mean ± SEM) compared to tumours dissected at estrus (15.5 ± 1.9; p = 0.03). Clustering analysis revealed a subgroup of tumours collected at diestrus characterised by increased expression of proliferation- (p < 0.001) and invasion-group (p = 0.01) genes, and increased 21-gene recurrence score (p = 0.01). No correlation between ER, PR, HER2, and KI67 protein abundance measured by Western blot and abundance of mRNA for the corresponding gene was observed, suggesting that gene expression is more susceptible to hormone-induced fluctuation compared to protein expression. Conclusions Ovarian cycle stage at the time of tissue collection critically affects the 21-gene signature in Mmtv-Pymt murine mammary tumours. Further studies are required to determine whether Oncotype DX Recurrence Scores in women are similarly affected by menstrual cycle stage.


Breast Care ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 212-225
Author(s):  
Nina Ditsch ◽  
Cornelia Kolberg-Liedtke ◽  
Michael Friedrich ◽  
Christian Jackisch ◽  
Ute-Susann Albert ◽  
...  

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