1H-NMR based metabolic study of MMTV-PyMT mice along with pathological progress to screen biomarkers for early diagnosis of breast cancer

2022 ◽  
Author(s):  
Ying Liu ◽  
Cuiling Qi ◽  
Lingyun Zheng ◽  
Jiangchao Li ◽  
Lijing Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Transgenic Mice ◽  
1H Nmr ◽  
Pathological Process ◽  
Metabolic Profiles ◽  
Metabolic Study ◽  
Dynamic Changes

1H NMR based metabonomic approach was applied to monitor the alterations of serum metabolic profiles in MMTV-PyMT transgenic mice to detect the dynamic changes related to the pathological process and...

scholarly journals Advanced and futuristic approaches for breast cancer diagnosis

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Jayanti Mishra ◽  
Bhumika Kumar ◽  
Monika Targhotra ◽  
P. K. Sahoo
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnostic Techniques ◽  
Main Body ◽  
Detection Techniques ◽  
Initial Stage ◽  
Common Causes ◽  
Delay In Treatment

Abstract Background Breast cancer is the most frequent cancer and one of the most common causes of death in women, impacting almost 2 million women each year. Tenacity or perseverance of breast cancer in women is very high these days with an extensive increasing rate of 3 to 5% every year. Along with hurdles faced during treatment of breast tumor, one of the crucial causes of delay in treatment is invasive and poor diagnostic techniques for breast cancer hence the early diagnosis of breast tumors will help us to improve its management and treatment in the initial stage. Main body Present review aims to explore diagnostic techniques for breast cancer that are currently being used, recent advancements that aids in prior detection and evaluation and are extensively focused on techniques that are going to be future of breast cancer detection with better efficiency and lesser pain to patients so that it helps to a physician to prevent delay in treatment of cancer. Here, we have discussed mammography and its advanced forms that are the need of current era, techniques involving radiation such as radionuclide methods, the potential of nanotechnology by using nanoparticle in breast cancer, and how the new inventions such as breath biopsy, and X-ray diffraction of hair can simply use as a prominent method in breast cancer early and easy detection tool. Conclusion It is observed significantly that advancement in detection techniques is helping in early diagnosis of breast cancer; however, we have to also focus on techniques that will improve the future of cancer diagnosis in like optical imaging and HER2 testing.

scholarly journals First Insight into Nutraceutical Properties of Local Salento Cichorium intybus Varieties: NMR-Based Metabolomic Approach

2021 ◽  
Vol 18 (8) ◽  
pp. 4057
Author(s):  
Chiara Roberta Girelli ◽  
Francesca Serio ◽  
Rita Accogli ◽  
Federica Angilè ◽  
Antonella De Donno ◽  
...  
Keyword(s):  
1H Nmr ◽  
Cichorium Intybus ◽  
Resonance Spectroscopy ◽  
Metabolic Profiles ◽  
Whole Plant ◽  
Different Content ◽  
Insight Into ◽  
Nutraceutical Properties ◽  
Metabolomic Approach

Background: Plants of genus Cichorium are known for their therapeutic and nutraceutical properties determined by a wealth of phytochemical substances contained in the whole plant. The aim of this paper was to characterize the metabolic profiles of local Salento chicory (Cichorium intybus L.) varieties (“Bianca”, “Galatina”, “Leccese”, and “Otranto”) in order to describe their metabolites composition together with possible bioactivity and health beneficial properties. Methods: The investigation was performed by 1H-NMR spectroscopy and Multivariate Analysis (MVA), by which the metabolic profiles of the samples were easily obtained and compared. Results: The supervised Partial Least Squares Discriminant Analysis (PLS-DA) analysis showed as “Bianca” and “Galatina” samples grouped together separated by “Leccese” and “Otranto” varieties. A different content of free amino acids and organic acids was observed among the varieties. In particular a high content of cichoric and monocaffeoyl tartaric acid was observed for the “Leccese” variety. The presence of secondary metabolites adds significant interest in the investigation of Cichorium inthybus, as this vegetable may benefit human health when incorporated into the diet. Conclusions: The 1H-NMR (Nuclear Magnetic Resonance Spectroscopy) based characterization of Salento chicory varieties allowed us to determine the potential usefulness and nutraceutical properties of the product, also providing a method to guarantee its authenticity on a molecular scale.

Dynamic changes of CTCs in patients with metastatic HR(+)/HER2(−) breast cancer receiving salvage treatment with everolimus/exemestane

2021 ◽  
Vol 87 (2) ◽  
pp. 277-287
Author(s):  
Maria Spiliotaki ◽  
Galatea Kallergi ◽  
Christos Nikolaou ◽  
Nikolaos Xenidis ◽  
Eleni Politaki ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Salvage Treatment ◽  
Dynamic Changes ◽  
Her2 Breast Cancer

scholarly journals Genomic instability-derived plasma extracellular vesicle-microRNA signature as a minimally invasive predictor of risk and unfavorable prognosis in breast cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Siqi Bao ◽  
Ting Hu ◽  
Jiaqi Liu ◽  
Jianzhong Su ◽  
Jie Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Minimally Invasive ◽  
Genomic Instability ◽  
Extracellular Vesicles ◽  
Disease Risk ◽  
Prognostic Indicator ◽  
Mirna Regulation ◽  
Mirna Signature ◽  
Operating Characteristics

Abstract Background Breast cancer (BC) is the most frequently diagnosed cancer and the leading cause of cancer-associated deaths in women. Recent studies have indicated that microRNA (miRNA) regulation in genomic instability (GI) is associated with disease risk and clinical outcome. Herein, we aimed to identify the GI-derived miRNA signature in extracellular vesicles (EVs) as a minimally invasive biomarker for early diagnosis and prognostic risk stratification. Experimental design Integrative analysis of miRNA expression and somatic mutation profiles was performed to identify GI-associated miRNAs. Then, we constructed a discovery and validation study with multicenter prospective cohorts. The GI-derived miRNA signature (miGISig) was developed in the TCGA discovery cohort (n = 261), and was subsequently independently validated in internal TCGA validation (n = 261) and GSE22220 (n = 210) cohorts for prognosis prediction, and in GSE73002 (n = 3966), GSE41922 (n = 54), and in-house clinical exosome (n = 30) cohorts for diagnostic performance. Results We identified a GI-derived three miRNA signature (MIR421, MIR128-1 and MIR128-2) in the serum extracellular vesicles of BC patients, which was significantly associated with poor prognosis in all the cohorts tested and remained as an independent prognostic factor using multivariate analyses. When integrated with the clinical characteristics, the composite miRNA-clinical prognostic indicator showed improved prognostic performance. The miGISig also showed high accuracy in differentiating BC from healthy controls with the area under the receiver operating characteristics curve (ROC) with 0.915, 0.794 and 0.772 in GSE73002, GSE41922 and TCGA cohorts, respectively. Furthermore, circulating EVs from BC patients in the in-house cohort harbored elevated levels of miGISig, with effective diagnostic accuracy. Conclusions We report a novel GI-derived three miRNA signature in EVs, as an excellent minimally invasive biomarker for the early diagnosis and unfavorable prognosis in BC.

scholarly journals A Hybrid Model to Support the Early Diagnosis of Breast Cancer

2016 ◽  
Vol 91 ◽  
pp. 927-934 ◽  
Author(s):  
Davi Carvalho ◽  
Plácido Rogerio Pinheiro ◽  
Mirian Calíope Dantas Pinheiro
Keyword(s):  
Breast Cancer ◽  
Early Diagnosis ◽  
Hybrid Model
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