Machine learning methods with salivary metabolomics for breast cancer detection.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3135-3135
Author(s):  
Takeshi Murata ◽  
Takako Yanagisawa ◽  
Toshiaki Kurihara ◽  
Miku Kaneko ◽  
Sana Ota ◽  
...  

3135 Background: Saliva is non-invasively accessible and informative biological fluid which has high potential for the early diagnosis of various diseases. The aim of this study is to develop machine learning methods and to explore new salivary biomarkers to discriminate breast cancer patients from healthy controls. Methods: We conducted a comprehensive metabolite analysis of saliva samples obtained from 101 patients with invasive carcinoma (IC), 23 patients with ductal carcinoma in situ (DCIS) and 42 healthy controls, using capillary electrophoresis and liquid chromatography with mass spectrometry to quantify hundreds of hydrophilic metabolites. Saliva samples were collected under 9h fasting and were split into training and validation data. Conventional statistical analyses and artificial intelligence-based methods were used to access the discrimination abilities of the quantified metabolite. Multiple logistic regression (MLR) model and an alternative decision tree (ADTree)-based machine learning methods were used. The generalization abilities of these mathematical models were validated in various computational tests, such as cross-validation and resampling methods. Results: Among quantified 260 metabolites, amino acids and polyamines showed significantly elevated in saliva from breast cancer patients, e.g. spermine showed the highest area under the receiver operating characteristic curves (AUC) to discriminate IC from C; 0.766 (95% confidence interval [CI]; 0.671 – 0.840, P < 0.0001). These metabolites showed no significant difference between C and DICS, i.e., these metabolites were elevated only in the samples of IC. The MLR yielded higher AUC to discriminate IC from C; 0.790 (95% CI; 0.699 – 0.859, P < 0.0001). The ADTree with ensemble approach showed the best AUC; 0.912 (95% CI; 0.838 – 0.961, P < 0.0001). In the comparison of these metabolites in the analysis of each subtype, seven metabolites were significantly different between Luminal A-like and Luminal B-like while, but few metabolites were significantly different among the other subtypes. Conclusions: These data indicated the combination of salivary metabolomic profiles including polyamines showed potential ability to screening breast cancer in a non-invasive way.

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Abeer I Abd Elmagid ◽  
Hala Abdel Al ◽  
Wessam El Sayed Saad ◽  
Seham Kamal Mohamed

Abstract Background Breast cancer is the most common cancer among women and one of the most important causes of death among them.Angiogenesis is an important step for primary tumor growth, invasiveness, and metastases. Angiopoietins are well-recognized endothelial growth factors that are involved in angiogenesis associated with tumors. Aim To explore the diagnostic significance of serum angiopoietin-2 (Ang-2) in breast cancer and to evaluate its prognostic efficacy through studying the degree of its association with the TNM staging of the disease. Patients and Methods This study was conducted on (35) Egyptian female patients who were diagnosed as breast cancer according to histopathological examination of breast biopsy (Group 1, Breast Cancer Patients) and (25) female patients with benign breast diseases (Group II, Pathological Control Patients), in addition to (20) age - matched apparently healthy, free mammogram, females serving as healthy controls (Group III, Healthy Controls). For all participants, measurement of serum Ang-2 was done using enzyme linked immunosorbent assay (ELISA) technique. Results A highly significant increased levels of Ang-2 was observed in breast cancer patients when compared to healthy control group (Z = 4.95, p &lt; 0.01). However, no significant difference was observed in Ang-2 levels between breast cancer patients group and pathological control group (Z = 3.37, p &gt; 0.05). No significant difference was detected in Ang-2 levels in relation to TNM stage and histological grade. No significant correlation was found between Ang-2 levels and serum levels of CA15-3, hormone receptors, HER2/new receptor status (p &gt; 0.05, respectively). Conclusion This study revealed that Ang-2 serum levels were significantly increased in patient with breast cancer compared with healthy controls, indicating that high Ang-2 level is a promising non invasive biomarker for breast cancer diagnosis. However, no significant difference of Ang-2 levels was detected in relation of breast TNM staging in the population studied.


2021 ◽  
Vol 6 (3) ◽  
pp. 181-185
Author(s):  
Rahim Golmohammadi ◽  
Mohammad Reza Mohajeri ◽  
Alireza Mosavi Jarrahi ◽  
Ali Reza Moslem ◽  
Akbar Pejhan ◽  
...  

Objective: Contradictory reports have been published regarding the expression levels of the hormone receptors of estrogen and progesterone (ER / PR) and theirclinical importance in diagnosis of breast cancer. The aim of this study was to evaluate the relationship between pathological features of invasive and non-invasive ductal tumors by different ER / PR phenotypes. Methods: This descriptive-analytical study was performed on 74 specimens of breast cancer referred to Isfahan Hospitals for diagnosis between 2015 - 2018. After fixation of the specimens in formalin, tissue passage, cross section and H / E staining, the specimens were divided into two groups: non- invasive and Invasive ductal Carcinoma. After removing of mask, expression of different ER / PR phenotypes was performed using primary monoclonal antibody and immunohistochemically methods. Results: From 74 malignant specimens, 61 (82.4%) were in the category of invasive ductal tumors and 13 cases (17.6%) were in the category of non-invasive ductal tumors. Out of 73 patients with positive ER or PR phenotype 47 samples (63.5%) had ER + / PR +phenotypes, 6 samples had (8.1%) ER+ / PR –phenotype, 20 samples (27%) had ER- / PR + phenotype and only one sample (1.4%) had the ER- / PR- phenotype and was in the category of invasive ductal tumors. There was not detected ER- / PR- phenotype expression in non-invasive ductal tumor. Further analysis showed that there were not significant difference between ER / PR phenotype and tumor stage (p =0.36) or with tumor Grade (P=0.38), high age of menopause or post menopause (P> 0.05). Conclusion: Our data shows that expression of ER- / PR- phenotype only was detected in invasive ductal tumor. It is thought that the tumor type maybe affects the expression of different types of ER / PR hormone receptor phenotypes in breast cancer patients.


2020 ◽  
Vol 27 (02) ◽  
pp. 424-430
Author(s):  
Ifrah Yaqoob ◽  
Muhammad Saeed ◽  
Aysha Azhar

Matrix metalloproteinases (MMPs) play significant part in the tumor development, metastasis and invasion by proteolytic degradation of basement membrane and extracellular matrix. Hence MMPs can serve as good biomarkers for carcinoma breast particularly MMP-2 in our population. Objectives: To measure the concentrations of MMP-2 in plasma of breast cancer patients and establishing their correlation with stage and grade of the disease. Study Design: Comparative cross sectional. Setting: Surgery department Madinah Teaching Hospital (MTH) and the Pathology department, The University of Faisalabad (TUF), Faisalabad. Period: 1st August, 2017 to 31st December, 2017. Material & Methods: Only females with diagnosed breast cancer disease along with staging and grading were included in the study. Females with incomplete reports, on chemotherapy or radiotherapy or having other diseases like oral squamous cell carcinoma, rheumatoid arthritis etc were excluded. ELISA kit was applied to measure the concentrations of MMP-2 in plasma of the participants. OD values were calculated at 450 nm by ELISA reader placed at Post Graduate Research Laboratory, The University of Faisalabad, Faisalabad. Data was gathered and results were finalized by using SPSS 22 for statistical assessment. Results: Age of 64(72%) breast cancer patients was within range of 30-76yrs and age for 25(28%) healthy females as controls range was 18-70yrs. Difference between ages of cases and controls using t-test was statistically highly significant. Ninety five percent cases showed invasive ductal carcinoma (IDC) as histological type. Range of MMP-2 levels in cases was 80-690 ng/mL with mean 451.02 while range of MMP-2 levels in controls was 65-830ng/mL with mean 329.72 showing statistically significant difference. Relationship of different groups of MMP-2 levels in cases with stages of breast cancer was established using chi-square test which was statistically significant, stage IIB (37.5%) and IIIA (34.4%) tumors showed higher values of MMP-2. Relationship between MMP-2 levels, grade, tumor size and node invasion was nonsignificant statistically. Conclusion: MMP-2 levels were raised in cases in comparison to healthy controls. Age of majority patients was > 45 yrs while the invasive ductal carcinoma was the main histological type. MMP-2 levels were associated with stage of the disease.


2021 ◽  
Author(s):  
Yusra Ilyas ◽  
Sanaullah Khan ◽  
Naveed Khan

Introduction: Breast cancer is one of the major and frequent tumors in the public health sector globally. The rising global prevalence of breast cancer has aroused attention in a viral etiology. Other than genetic and hormonal roles, viruses like Epstein - Barr virus (EBV) also participate in the development and advancement of breast cancer. Aim: This study was conducted to detect the frequency of EBV genotypes in breast cancer patients and compare it with histopathological breast cancer changes. Methods: Formalin-fixed paraffin-embedded samples of breast cancer (N=60) ages ranged from 22-70 years were collected. EBV DNA was isolated, amplified, typed through PCR, and correlated with histopathological outcomes of breast cancer using SPSS software version 26. Results: Our findings suggest that among breast cancer factors, Invasive ductal carcinoma (IDC) was the most common pathological pattern found among patients (90%), observed statistically significant (p= 0.01275). In regards to clinical staging, 8 (13.3 %) patients diagnosed with stage I, 39 (65 %) with stage II, and 13 (21.6 %) with stage III reported statistically significant association (p=0.0003). EBV DNA was detected in 68.3% (41/60) breast cancer patients, reported a statistically significant difference between the prevalence of EBV in breast cancer patients and normal samples (p = 0.001). Of 41 EBV-positive samples, 40 were EBV-1, while only 1 had EBV-2 infection (p < 0.001). No influence on cancer histology was observed. Regarding the association of breast cancer with EBV, histological type (P =0.209), tumor stage (P = 0.48), tumor grade (0.356), tumor sizes (p= 0.976), age (p= 0.1055), tumor laterality (p= 0.533) and ER/PR status (p=0.773) showed no significant association. Conclusion: EBV-1 is prevalent in breast cancer patients and associated with IDC in the study area. For conclusive evidence, more studies are required based on a large sample size and by using more sensitive techniques.


1994 ◽  
Vol 9 (4) ◽  
pp. 219-223 ◽  
Author(s):  
A. Paradiso ◽  
M.G. Vetrugno ◽  
G. Capuano ◽  
S. Longo ◽  
L. Sibilano ◽  
...  

The expression of glutathione S-transferase mu was measured by a qualitative immunoenzymatic assay in the blood samples of 108 women (63 breast cancer patients and 45 healthy controls) in order to analyze the relationships of GST-mu phenotype and smoking habits with tumor characteristics of breast cancer patients, such as tumor extension, nodal status, hormone receptor status and DNA content by flow cytometry. GST-mu was expressed in 53/108 (49%) of cases without any significant difference between healthy or neoplastic subjects, smokers or non-smokers, pre or post-menopausal, younger or older subjects. Moreover, the percentages of the GST-mu phenotype did not differ significantly in patients with different ER and PgR tumor status, tumor extension or nodal status. By contrast, aneuploid DNA tumor content was shown to be significantly associated with GST-mu expression (24% and 76% GST-mu positive, respectively, in diploid and aneuploid cases; p < 0.003). The biological meaning of this association remains to be interpreted.


2014 ◽  
Vol 24 (01n02) ◽  
pp. 49-58 ◽  
Author(s):  
Z. Kabiri ◽  
O. Kakuee ◽  
V. Fathollahi ◽  
B. Stout

Development of a number of diseases like cardiovascular diseases and cancer has been related with abnormalities of certain trace elements in some tissues. The purpose of this study was to investigate the levels of trace elements in breast cancer patients in comparison with healthy controls. Particle induced X-ray emission (PIXE) technique was employed to measure the hair trace element concentrations in 30 cancer patients and 30 healthy controls. A 2.2 MeV proton beam was employed to excite the biological samples. The concentrations of Fe and Cu ([Formula: see text]) in the hair of cancer patients were found to be higher compared to those of healthy controls, while the concentration of Zn ([Formula: see text]) was found to be lower. No significant difference was observed for sulfur concentration between the two groups. Also, no meaningful difference was observed in the concentrations of K, Ca, Ti as well as ratios of Cu/Zn and Cu/Fe in the hair of the two groups ([Formula: see text]). These abnormalities could potentially be used as a means of breast cancer screening in women.


MicroRNA ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 58-63
Author(s):  
Batool Savari ◽  
Sohrab Boozarpour ◽  
Maryam Tahmasebi-Birgani ◽  
Hossein Sabouri ◽  
Seyed Mohammad Hosseini

Background: Breast cancer is the most common cancer diagnosed in women worldwide. So it seems that there's a good chance of recovery if it's detected in its early stages even before the appearances of symptoms. Recent studies have shown that miRNAs play an important role during cancer progression. These transcripts can be tracked in liquid samples to reveal if cancer exists, for earlier treatment. MicroRNA-21 (miR-21) has been shown to be a key regulator of carcinogenesis, and breast tumor is no exception. Objective: The present study was aimed to track the miR-21 expression level in serum of the breast cancer patients in comparison with that of normal counterparts. Methods: Comparative real-time polymerase chain reaction was applied to determine the levels of expression of miR-21 in the serum samples of 57 participants from which, 42 were the patients with breast cancer including pre-surgery patients (n = 30) and post-surgery patients (n = 12), and the others were the healthy controls (n = 15). Results: MiR-21 was significantly over expressed in the serum of breast cancer patients as compared with healthy controls (P = 0.002). A significant decrease was also observed following tumor resection (P < 0.0001). Moreover, it was found that miR-21 overexpression level was significantly associated with tumor grade (P = 0.004). Conclusion: These findings suggest that miR-21 has the potential to be used as a novel breast cancer biomarker for early detection and prognosis, although further experiments are needed.


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