scholarly journals Tumor collagen framework from bright-field histology images predicts overall survival of breast carcinoma patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mindaugas Morkunas ◽  
Dovile Zilenaite ◽  
Aida Laurinaviciene ◽  
Povilas Treigys ◽  
Arvydas Laurinavicius

AbstractWithin the tumor microenvironment, specifically aligned collagen has been shown to stimulate tumor progression by directing the migration of metastatic cells along its structural framework. Tumor-associated collagen signatures (TACS) have been linked to breast cancer patient outcome. Robust and affordable methods for assessing biological information contained in collagen architecture need to be developed. We have developed a novel artificial neural network (ANN) based approach for tumor collagen segmentation from bright-field histology images and have tested it on a set of tissue microarray sections from early hormone receptor-positive invasive ductal breast carcinoma stained with Sirius Red (1 core per patient, n = 92). We designed and trained ANNs on sets of differently annotated image patches to segment collagen fibers and extracted 37 features of collagen fiber morphometry, density, orientation, texture, and fractal characteristics in the entire cohort. Independent instances of ANN models trained on highly differing annotations produced reasonably concordant collagen segmentation masks and allowed reliable prognostic Cox regression models (with likelihood ratios 14.11–22.99, at p-value < 0.05) superior to conventional clinical parameters (size of the primary tumor (T), regional lymph node status (N), histological grade (G), and patient age). Additionally, we noted statistically significant differences of collagen features between tumor grade groups, and the factor analysis revealed features resembling the TACS concept. Our proposed method offers collagen framework segmentation from bright-field histology images and provides novel image-based features for better breast cancer patient prognostication.

Cancers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2230 ◽  
Author(s):  
Nayang Shan ◽  
Ningshan Li ◽  
Qile Dai ◽  
Lin Hou ◽  
Xiting Yan ◽  
...  

Effector CD8+ T cell activation and its cytotoxic function are positively correlated with improved survival in breast cancer. tRNA-derived fragments (tRFs) have recently been found to be involved in gene regulation in cancer progression. However, it is unclear how interactions between expression of tRFs and T cell activation affect breast cancer patient survival. We used Kaplan–Meier survival and multivariate Cox regression models to evaluate the effect of interactions between expression of tRFs and T cell activation on survival in 1081 breast cancer patients. Spearman correlation analysis and weighted gene co-expression network analysis were conducted to identify genes and pathways that were associated with tRFs. tRFdb-5024a, 5P_tRNA-Leu-CAA-4-1, and ts-49 were positively associated with overall survival, while ts-34 and ts-58 were negatively associated with overall survival. Significant interactions were detected between T cell activation and ts-34 and ts-49. In the T cell exhaustion group, patients with a low level of ts-34 or a high level of ts-49 showed improved survival. In contrast, there was no significant difference in the activation group. Breast cancer related pathways were identified for the five tRFs. In conclusion, the identified five tRFs associated with overall survival may serve as therapeutic targets and improve immunotherapy in breast cancer.


2011 ◽  
Vol 17 (4) ◽  
pp. 444-447 ◽  
Author(s):  
Umut Demirci ◽  
Suleyman Buyukberber ◽  
Tansel Cakir ◽  
Aylar Poyraz ◽  
Meltem Baykara ◽  
...  

Mucinous breast carcinoma (MBC) is a rare histological type of breast cancer and rarely associated with advanced disease. We report a case that had MBC with an isolated adrenal metastasis which was removed by laparoscopic adrenelectomy. This case is unique due to the unexpected metastasis of pure mucinous carcinoma developed after 4 years of hormone therapy.


2007 ◽  
Vol 42 (4) ◽  
pp. 253-264 ◽  
Author(s):  
Beatriz B. Amaral ◽  
Luise Meurer ◽  
Gary J. Whitman ◽  
Jessica W.T. Leung

2014 ◽  
Vol 5 (4) ◽  
pp. 25-28
Author(s):  
Nikhil Gupta ◽  
Binita Goswami ◽  
Shyamveer S Khangarot ◽  
Niladhar S Hadke

Objective: Breast cancer has emerged as the most common malignancy among females during the last few years. Early diagnosis is essential for disease management so research is underway to identify potential serological bio markers with acceptable sensitivity and specificity. The current study was undertaken to compare the levels of serum PSA in patients with benign breast diseases, carcinoma breast and normal controls. Methods: The study was conducted jointly by the departments of Biochemistry and Surgery. Fifty patients of breast carcinoma were enrolled in the study, along with 50 cases of benign breast disease and 50 healthy controls. Serum PSA levels were estimated by Roche Elecsys modular Cobas e 411(electrochemiluminescence immuno assay) (Manheim Germany). Results: We did not find any significant differences in the PSA levels between normal controls, patients with benign breast disease as well as females presenting with breast carcinoma. No correlation was observed between serum PSA levels with clinical staging as well as histopathological grading. Conclusions: According to previous published studies, tumor levels of PSA are valuable for breast cancer patient prognosis, since patients with PSA positive tumors have much longer disease-free and overall survival. PSA levels in the serum of breast cancer patients are not significantly different from the PSA levels in the serum of normal women. Based on these data we conclude that serum PSA levels are not useful for breast cancer patient diagnosis or monitoring. DOI: http://dx.doi.org/10.3126/ajms.v5i4.7800 Asian Journal of Medical Sciences 2014 Vol.5(4); 25-28


2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 15-15
Author(s):  
Meaghan Working O'Malley ◽  
Kent A. Griffith ◽  
Michael S. Sabel ◽  
Lisa A. Newman ◽  
Tara M. Breslin ◽  
...  

15 Background: Nodal evaluation of the elderly breast cancer patient remains controversial, and some have suggested that selected older women with breast cancer may not require sentinel lymph node biopsy (SLNB). Methods: An IRB-approved database was queried for patients undergoing SLNB for invasive breast cancer from 2000-2006. We compared 8 cohorts: age <40 years, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, and >70 years. Logistic regression and chi-square test were used. Results: Procedure success rate was above 95% for all groups in a total sample size of 1268 patients. Patients >70 years had lower grade tumors than patients <40 years (Grade 1: 25% vs. 7%; Grade 2: 53% vs. 47%; Grade 3: 17% vs. 40%, p<0.0001) and higher ER expression (ER+: 83% vs. 59%, p<0.0005). Patients <40 years also had a higher proportion of multifocal disease (21% vs. 9%, p<0.002), lymphovascular invasion (20% vs. 10%, p<0.007), and number of positive sentinel lymph nodes (PSLN) removed (mean: 3.7 vs. 2.7, p<0.028). Upon multivariate analysis, the odds of a PSLN decrease 9% for every 5-year increase in age (OR 0.91, p<0.003), but increase significantly with certain tumor characteristics (ER+ vs. ER-: OR 1.7, p=0.002), larger size (0.5 cm increase: OR 1.26, p<0.0001), and higher grade (Grades 2-3: OR 1.99, p<0.0007). The predicted probability of a PSLN for patients age 35, 55, and 70 years is 27%, 22%, and 16%, assuming each had a ER+, low grade, 2 cm tumor. Conclusions: Older breast cancer patients have more favorable pathology, and the chance of a PSLN decreases as age increases. However, the odds of a PSLN are significantly higher in patients with certain tumor characteristics, which are known prior to definitive surgery. Given recent reports that older patients are less likely to receive standard treatment for breast cancer and prognosis may worsen as a result, tumor size and characteristics rather than age should dictate the decision to perform SLNB, and we should continue appropriate, aggressive staging of the older breast cancer patient.


Author(s):  
Sri Burhani Putri

Breast cancer is one of the most common illness that killed woman. One of the therapy to cure breast cancer is chemotherapy. Chemotherapy has side effect either physical and psychology, that caused people who’s in chemo therapy, prone to stress. Stress effected by many factors, such as characteristic and chopping strategy that patient has been using. The aim of this research is to get a perspective about the relation of characteristic and chopping strategy with breast cancer patient stress, whose in chemo therapy. This research using cross sectional study and taking sample by using accidental sampling method. The data analyzed by using bavariat and multivariat with variable result shows that breast cancer patient stress who has chemo therapy realted to age characteristic (p value = 0.00) the time since they diagnosed with cancer (pvalue = 0.03), how long they have chemo therapy (pvalue = 0.00) and chopping strategyby looking social support (pvalue = 0.00) looking for spiritual (pvalue = 0.00) with dominan variable which related to stress is chopping strategy to looking spiritual support (coeffecients B = -1.139).   Key words : Breast cancer, chemotherapy, stress  


2009 ◽  
Vol 21 (2) ◽  
pp. 131-139 ◽  
Author(s):  
B.J.A. Laird ◽  
M.T. Fallon

Sign in / Sign up

Export Citation Format

Share Document