scholarly journals Evaluation of copper chaperone ATOX1 as prognostic biomarker in breast cancer

Breast Cancer ◽  
2020 ◽  
Vol 27 (3) ◽  
pp. 505-509 ◽  
Author(s):  
Stéphanie Blockhuys ◽  
Donita C. Brady ◽  
Pernilla Wittung-Stafshede
Keyword(s):  
Breast Cancer ◽  
Prognostic Biomarker ◽  
Clinicopathological Parameters ◽  
Copper Chaperone ◽  
Copper Binding ◽  
Breast Cancer Patients ◽  
Cancer Disease ◽  
Data Set ◽  
Expression Levels ◽  
Er Positive

AbstractCopper is involved in different hallmarks of cancer, including metastasis, but responsible copper-binding proteins and pathways are not clear. The copper chaperone ATOX1 was recently shown to play a role in breast cancer cell migration, which is a key step in metastasis. Since most cancer-related deaths are due to metastasis, we hypothesized that ATOX1 mRNA expression may be associated with breast cancer disease progression and thus, a prognostic biomarker in breast cancer. We therefore studied the association of ATOX1 expression levels with clinicopathological parameters and survival for 1904 breast cancer patients using the METABRIC data set. Our results indicate ATOX1 expression levels as a potential prognostic biomarker for ER-positive subtypes and early stages of breast cancer. Pre-clinical studies and clinical trials are desired to identify the molecular roles of ATOX1 in these conditions.

scholarly journals Study of Gene Expression of Programmed Cell Death Ligand 1 (PD-L1) in Breast Cancer Patients

2021 ◽  
Vol 107 (1_suppl) ◽  
pp. 2-2
Author(s):  
H Gadelrab ◽  
M Mokhtar ◽  
H Morsy ◽  
M Elnaggar
Keyword(s):  
Breast Cancer ◽  
Cell Death ◽  
Programmed Cell Death ◽  
Cancer Patients ◽  
Therapeutic Response ◽  
Female Breast Cancer ◽  
Clinicopathological Parameters ◽  
Breast Cancer Patients ◽  
Expression Levels ◽  
Female Breast

Introduction: Breast cancer is the most frequently occurring cancer among females and the second most common cancer overall. Programmed Cell Death Ligand 1 (PD-L1) plays an important role in blocking ‘cancer-immunity cycle’ and is considered as a major inhibitory pathway. The aim of the present study was to clarify the alterations of expression of PD-L1 in peripheral blood mononuclear cytes (PBMCs) of female breast cancer patients and analyze its association with clinico-pathological criteria as well as therapeutic response. Materials and Methods: The study was conducted on 45 female breast cancer patients and 45 female controls. Blood samples were collected followed by PBMCs isolation, total RNA extraction, reverse transcription and finally, quantitative polymerase chain reaction (qPCR) using SYBR Green DNA binding dye. Expression levels of PD-L1 were calculated and then compared with clinicopathological parameters of the patients in addition to initial therapeutic response. Results: A significant difference was detected for PD-L1 expression levels in breast cancer patients compared to controls. A significant association with age, metastatic breast cancer, estrogen receptor (ER) negative status as well as high concentrations of cancer antigen 15-3 (CA15-3) was detected. On the other hand, no significant association was recognized with tumor size, lymph nodal status, histopathological type, grade, progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER-2) status, triple negative, among de novo and recurrent metastatic patients and for the number of metastatic sites as well as the therapeutic response. Conclusions: This study paves the way of the use of PD-L1 as a noninvasive prognostic and diagnostic biomarker for poor prognosis of breast cancer.

Different prediction of distant recurrence risk in primary breast cancer patients stratified by ER and ERBB2 status

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 20120-20120
Author(s):  
P. Urban ◽  
V. Vuaroqueaux ◽  
M. Labuhn ◽  
M. Delorenzi ◽  
P. Wirapati ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Primary Breast Cancer ◽  
Scoring Systems ◽  
Recurrence Risk ◽  
Distant Recurrence ◽  
Good Prognosis ◽  
Breast Cancer Patients ◽  
Expression Levels ◽  
Cancer Subtypes ◽  
Er Positive

20120 Background: Molecular profiling recently defined biological characteristics of several long-recognized breast cancer subtypes including ER-positive (luminal subtype), ER-negative/ERBB2-positive (ERBB2 subtype) and ER-negative/ErBB2-negative (basal-like subtype). Each of these particular subtypes has different impact on patient outcome and should be therefore taken in consideration for individual scoring calculations. Methods: The quantitative RNA expression levels of 70 relevant genes were simultaneously determined in fresh frozen samples of 317 primary breast cancer (BC) patients comprehending ER-positive (70%), ER-negative/ERBB2-positive (15%) and ERBB2-negative/ER-negative (15%) and with known follow-up data. Five years distant recurrence scoring systems were calculated by means of Cox-hazard regression models. Results: Two main prognostic scoring systems were developed: one based on genes relative to proliferation representing tumor growth and its velocity, the other based on proteases. A low proliferation score identified 30% of patients at very good prognosis (probability of distant recurrence 12%, CI: 1.5–22%) all belonging to the ER-positive subcategory as compared to cases with higher proliferation (probability of distant recurrence 31%, 32–38%). The probability to develop distant recurrence within 5 years for 30% of ERBB2-positive patients was of only 12% (CI 0–25%) when accompanied by low levels of proteases as compared to the remaining ERBB2-positive patients with a probability of recurrence of 40% (CI 22–54%). Conclusions: ER, ERBB2 and the expression levels of the few identified genes involved in tumor proliferation and invasion can be easily and precisely detected by means of QRT-PCR. This robust method allows fine tuned prognosis and gives predictive information for the treatment of individual breast cancer. [Table: see text]

The melanoma-associated antigen-A3, -A4 genes: relation to the risk and clinicopathological parameters in breast cancer patients

2011 ◽  
Vol 351 (1-2) ◽  
pp. 261-268 ◽  
Author(s):  
Yousri M. Hussein ◽  
Amal F. Gharib ◽  
Rasha L. Etewa ◽  
Amal S. El-Shal ◽  
Mohamed Esmat Abdel-Ghany ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Clinicopathological Parameters ◽  
Breast Cancer Patients

scholarly journals Clinical CYP2D6 Genotyping to Personalize Adjuvant Tamoxifen Treatment in ER-Positive Breast Cancer Patients: Current Status of a Controversy

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 771
Author(s):  
Tessa A. M. Mulder ◽  
Mirjam de With ◽  
Marzia del Re ◽  
Romano Danesi ◽  
Ron H. J. Mathijssen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Clinical Outcome ◽  
Cancer Patients ◽  
Plasma Concentrations ◽  
Tamoxifen Treatment ◽  
Current Status ◽  
Endocrine Treatment ◽  
Breast Cancer Patients ◽  
Er Positive ◽  
Positive Breast Cancer

Tamoxifen is a major option for adjuvant endocrine treatment in estrogen receptor (ER) positive breast cancer patients. The conversion of the prodrug tamoxifen into the most active metabolite endoxifen is mainly catalyzed by the enzyme cytochrome P450 2D6 (CYP2D6). Genetic variation in the CYP2D6 gene leads to altered enzyme activity, which influences endoxifen formation and thereby potentially therapy outcome. The association between genetically compromised CYP2D6 activity and low endoxifen plasma concentrations is generally accepted, and it was shown that tamoxifen dose increments in compromised patients resulted in higher endoxifen concentrations. However, the correlation between CYP2D6 genotype and clinical outcome is still under debate. This has led to genotype-based tamoxifen dosing recommendations by the Clinical Pharmacogenetic Implementation Consortium (CPIC) in 2018, whereas in 2019, the European Society of Medical Oncology (ESMO) discouraged the use of CYP2D6 genotyping in clinical practice for tamoxifen therapy. This paper describes the latest developments on CYP2D6 genotyping in relation to endoxifen plasma concentrations and tamoxifen-related clinical outcome. Therefore, we focused on Pharmacogenetic publications from 2018 (CPIC publication) to 2021 in order to shed a light on the current status of this debate.

scholarly journals Serum Long Non-Coding RNAs PVT1, HOTAIR, and NEAT1 as Potential Biomarkers in Egyptian Women with Breast Cancer

Biomolecules ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 301
Author(s):  
Amal Ahmed Abd El-Fattah ◽  
Nermin Abdel Hamid Sadik ◽  
Olfat Gamil Shaker ◽  
Amal Mohamed Kamal ◽  
Nancy Nabil Shahin
Keyword(s):  
Breast Cancer ◽  
Logistic Regression ◽  
Cancer Patients ◽  
Breast Cancer Diagnosis ◽  
Serum Levels ◽  
Breast Cancer Patients ◽  
Multivariate Logistic Regression ◽  
Expression Levels ◽  
Non Coding Rnas ◽  
Pai 1

Long non-coding RNAs play an important role in tumor growth, angiogenesis, and metastasis in several types of cancer. However, the clinical significance of using lncRNAs as biomarkers for breast cancer diagnosis and prognosis is still poorly investigated. In this study, we analyzed the serum expression levels of lncRNAs PVT1, HOTAIR, NEAT1, and MALAT1, and their associated proteins, PAI-1, and OPN, in breast cancer patients compared to fibroadenoma patients and healthy subjects. Using quantitative real-time PCR (qRT-PCR), we compared the serum expression levels of the four circulating lncRNAs in patients with breast cancer (n = 50), fibroadenoma (n = 25), and healthy controls (n = 25). The serum levels of PAI-1 and OPN were measured using ELISA. Receiveroperating-characteristic (ROC) analysis and multivariate logistic regression were used to evaluate the diagnostic value of the selected parameters. The serum levels of HOTAIR, PAI-1, and OPN were significantly higher in breast cancer patients compared to controls and fibroadenoma patients. The serum level of PVT1 was significantly higher in breast cancer patients than in the controls, while that of NEAT1 was significantly lower in breast cancer patients compared to controls and fibroadenoma patients. Both ROC and multivariate logistic regression analyses revealed that PAI-1 has the greatest power in discriminating breast cancer from the control, whereas HOTAIR, PAI-1, and OPN have the greatest power in discriminating breast cancer from fibroadenoma patients. In conclusion, our data suggest that the serum levels of PVT1, HOTAIR, NEAT1, PAI-1, and OPN could serve as promising diagnostic biomarkers for breast cancer.

The Pattern of Proline, Glutamic Acid, and Leucine-Rich Protein 1 Expression in Chinese Women with Primary Breast Cancer

2014 ◽  
Vol 29 (1) ◽  
pp. e1-e7 ◽  
Author(s):  
Yanzhi Zhang ◽  
Peng Wang ◽  
Mumu Shi ◽  
Hironobu Sasano ◽  
Monica S.M. Chan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Glutamic Acid ◽  
Primary Breast Cancer ◽  
Chinese Women ◽  
Cancer Prognosis ◽  
Clinicopathological Parameters ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Ki 67 ◽  
Her 2

Background Disparities of biomarkers’ expression in breast cancer across different races and ethnicities have been well documented. Proline, glutamic acid, and leucine-rich protein 1 (PELP1), a novel ER coregulator, has been considered as a promising biomarker of breast cancer prognosis; however, the pattern of PELP1 expression in Chinese women with breast cancer has never been investigated. This study aims to provide useful reference on possible racial or ethnic differences of PELP1 expression in breast cancer by exploring the pattern of PELP1 expression in Chinese women with primary breast cancer. Methods The expression of PELP1 in primary breast cancer samples from 130 Chinese female patients was detected by immunohistochemistry and correlated to other clinicopathological parameters; for comparison, the expression of PELP1 in 26 benign breast fibroadenomas was also examined. Results The overall value of the PELP1 H-score in breast cancer was significantly higher than that in breast fibroadenoma (p<0.001). In our breast cancer patients, the ER/HER-2-positive group had significantly higher PELP1 H-scores than their negative counterparts (p=0.003 for ER and p=0.022 for HER-2); the Ki-67-high group also showed significantly higher PELP1 H-scores than the Ki-67-low group (p=0.008). No significant association between PELP1 H-scores and other clinicopathological parameters was found. Finally, the PELP1 H-score in breast cancers of the luminal B subtype was significantly higher than that in the triple negative subtype (p=0.002). Conclusion Overexpression of PELP1 in Chinese women with primary breast cancer appears to be associated with biomarkers of poor outcome; these results are similar to other reports based on Western populations.

Can Intratumoral neutrophil lymphocyte ratio (NLR) be a prognostic biomarker in breast cancer patients?

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12573-e12573
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Vijayashree Murthy ◽  
Eriko Katsuta ◽  
Nobuhisa Matsuhashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
T Cells ◽  
Cancer Patients ◽  
Immune Cells ◽  
Breast Cancer Patients ◽  
Immune Microenvironment ◽  
High Group ◽  
Anti Cancer ◽  
Tumor Immune Microenvironment ◽  
Er Positive

e12573 Background: In breast cancer patients, it is well known that the elevation of neutrophil lymphocyte ratio (NLR) in the blood are reported to associate with poor prognosis based on the notion that neutrophils represent pro-cancer, and lymphocytes represent anti-cancer immune cells. Tumor immune microenvironment has been demonstrated to play critical roles in the outcome of breast cancer patients. However, there is scarce evidence on the clinical relevance of intratumoral NLR in breast cancer patients. In the current study, we hypothesized that intratumoral NLR high tumors are associated with worse survival particularly in TNBC that is known to have high immune cell infiltration. Methods: A total of 1904 breast cancer patients’ data from METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) and analyzed. NLR was calculated by the gene expressions of CD66b (CEACAM8) and CD8 (CD8A). NLR high and low were divided by the median. Overall Survival (OS) and Disease-Free Survival were calculated utilizing Kaplan Meier method between intratumoral NLR high and low groups. xCell algorithm was used to analyze the infiltrated immune cells within the tumor immune microenvironment as we have previously published. Results: Intratumoral NLR high group was associated with worse OS in whole, ER-positive/HER2-negative, and triple negative (TN) subtypes, in agreement with the previous studies. TN subtype alone demonstrated worse DFS of NLR high group. Surprisingly, gene set enrichment analysis (GSEA) demonstrated no gene set enrichment to NLR high group, which implicates that there is no distinctive mechanism that associate with worse survival. Whereas, immune response-related gene sets significantly enriched to NLR low group in TN subtype. This enrichment was consistent in ER-positive/HER2-negative. Compared with ER-positive/HER2-negative subtype, anti-cancer immune cells such as CD4+ T cells, CD8+ T cells, M1 macrophage, and helper T helper type 1 cells were significantly infiltrated in TN patients (p < 0.001 for all genes), where M2 macrophages and neutrophils were less and regulatory T cells and T helper type 2 cells were more infiltrated in TN subtype. Furthermore, intratumoral NLR was significantly lower in TN compared with ER-positive/HER2-negative subtype (p < 0.001). These results suggest that intratumoral NLR low group is associated with better survival due to favorable tumor immune microenvironment in TN subtype rather than NLR high group has worse survival. Conclusions: Intratumoral NLR low tumor demonstrated more favorable OS and more favorable DFS in TN patients. Intratumoral NLR low breast cancer was associated with enhanced immune response and higher infiltration of anti-cancer immune cells were observed in TN subtype compared to ER-positive/HER2-negative which may contribute to the favorable outcome of in TN breast cancer.

Sign in / Sign up

Export Citation Format

Share Document