scholarly journals TZAP Mutation Leads to Poor Prognosis of Patients with Breast Cancer †

Medicina ◽  
2019 ◽  
Vol 55 (11) ◽  
pp. 748 ◽  
Author(s):  
Yu-Ran Heo ◽  
Moo-Hyun Lee ◽  
Sun-Young Kwon ◽  
Jihyoung Cho ◽  
Jae-Ho Lee

Background and Objectives: ZBTB48 is a telomere-associated factor that has been renamed as telomeric zinc finger-associated protein (TZAP). It binds preferentially to long telomeres, competing with telomeric repeat factors 1 and 2. Materials and Methods: We analyzed the TZAP mutation in 128 breast carcinomas (BCs). In addition, its association with telomere length was investigated. Results: The TZAP mutation (c.1272 G > A, L424L) was found in 7.8% (10/128) of the BCs and was associated with the N0 stage. BCs with the TZAP mutation had longer telomeres than those without this mutation. Survival analysis showed that the TZAP mutation resulted in poorer overall survival. Conclusions: These results suggest that the TZAP mutation is a possible prognostic marker in BC.

Author(s):  
B Jayashree ◽  
Priyathersini Nagarajan ◽  
Thanka Johnson

Introduction: Matrix Metalloproteinase-2 (MMP-2) is over expressed in a variety of malignant tumours and their expression and activity are often associated with tumour aggressiveness and a poor prognosis. It serves as a prognostic marker in breast carcinoma regardless of patient age, disease stage, malignancy grade, or hormone receptor status and modulation of MMP-2 expression and activation provides a new mechanism for breast cancer treatment. Aim: To evaluate the expression of MMP-2 in breast carcinoma tumour cells and peritumoural stroma and also to analyse the findings with the existing other prognostic markers of mammary carcinoma. Materials and Methods: The present study was a retrospective study conducted on paraffin blocks of 90 cases of invasive breast carcinoma specimens received in the Department of Pathology, Sri Raamachandra Institute of Higher Education and Research a tertiary care centre in Chennai, Tamil Nadu, India, from January 2012 to June 2017. Immunohistochemical staining for MMP-2, Oestrogen Receptor (ER), Progesterone Receptor (PR) and Human Epidermal Growth Factor Receptor 2 (HER2) was done. Statistical analysis was done on the data collected by using the software GNU-PSPP version 0.10.1. Pearson Chi-square test was used to determine significant clinicopathological differences between MMP-2 expression in positive and negative tumours. Differences were considered statistically significant when p-value was <0.05. Results: The study included 90 cases of histological proven invasive breast carcinoma. The study parameters include age, clinical staging, histopathological grade, lymphnode status, molecular subtype and MMP-2 expression in invasive breast carcinoma. Out of 90 cases, 62 cases were positive for MMP-2 and 18 cases were positive for peritumoural stroma, 30 cases were negative for MMP-2 in tumoural cells and 72 cases were negative surrounding the peritumoural stroma. Conclusion:Present study showed high MMP-2 immunohistochemical expression in breast carcinomas. There was a statistically significant association of increased MMP-2 expression with tumour stage. There was also a statistically significant association of MMP-2 in the tumour and stroma with High Grade Ductal Carcinoma In Situ (HGDCIS). There was an increased expression of MMP-2 in Luminal A subtype. Low expression was seen in the other molecular subtypes. In view of these findings and association with other studies in the literature, the present study demonstrates that the expression of MMP-2 in tumour and stromal cells could serve as a parameter of poor prognosis in breast cancer.


2020 ◽  
Author(s):  
Li-rong Yan ◽  
Ang Wang ◽  
Zhi Lv ◽  
Yuan Yuan ◽  
Qian Xu

Abstract BackgroundMitochondria-nuclear cross talk and mitochondrial retrograde regulation are involved in the genesis and development of breast cancer (BC). Therefore, mitochondria can be regarded as a promising target for BC therapeutic strategies. In the present study, we aimed to construct regulating network and seek the potential biomarkers of BC diagnosis, prognosis and also the molecular therapeutic targets from the perspective of mitochondrial dysfunction. MethodsThe microarray data of mitochondria-related encoding genes of BC were downloaded from GEO including GSE128610 and GSE72319. GSE128610 was treated as test set and validation sets consisted of GSE72319 and TCGA, which were used for identifying mitochondria-related differential expressed genes (mrDEGs). We performed enrichment analysis, PPI network, hub mrDEGs, and overall survival analysis and constructed transcription factor (TF)-miRNA-hub mrDEGs network. ResultsA total of 23 up-regulated and 71 down-regulated mrDEGs were identified and validated. Enrichment analyses indicated that mrDEGs were associated with several cancer-related biological processes, Moreover, 9 hub mrDEGs were identified and validated in tissues. Finally, 5 hub coregulated mrDEGs, 21 miRNA and 117 TF were used to construct TF-miRNA-hub mrDEGs network. MAZ, HDGF and SP2 could regulate 3 hub mrDEGs. hsa-mir-21-5p, hsa-mir-1-3p, hsa-mir-218-5p, hsa-mir-26a-5p, and hsa-mir-335-5p regulated 2 hub mrDEGs. Overall survival analysis suggested that the up-regulated FN1 and down-regulated DDR2 conferred to poor BC prognosis. ConclusionTF-miRNA-hub mrDEGs has instruction significance for the etiology exploration of BC. The identified hub mrDEGs, such as FN1 and DDR2, were likely to regulate mitochondrial function and might be novel biomarkers of BC diagnosis and prognosis as well as the therapeutic targets.


PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8930 ◽  
Author(s):  
Xi Ma ◽  
Lin Zhou ◽  
Shusen Zheng

Background Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. However, the molecular mechanisms involved in HCC remain unclear and are in urgent need of elucidation. Therefore, we sought to identify biomarkers in the prognosis of HCC through an integrated bioinformatics analysis. Methods Messenger RNA (mRNA) expression profiles were obtained from the Gene Expression Omnibus database and The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) for the screening of common differentially expressed genes (DEGs). Function and pathway enrichment analysis, protein-protein interaction network construction and key gene identification were performed. The significance of key genes in HCC was validated by overall survival analysis and immunohistochemistry. Meanwhile, based on TCGA data, prognostic microRNAs (miRNAs) were decoded using univariable and multivariable Cox regression analysis, and their target genes were predicted by miRWalk. Results Eleven hub genes (upregulated ASPM, AURKA, CCNB2, CDC20, PRC1 and TOP2A and downregulated AOX1, CAT, CYP2E1, CYP3A4 and HP) with the most interactions were considered as potential biomarkers in HCC and confirmed by overall survival analysis. Moreover, AURKA, PRC1, TOP2A, AOX1, CYP2E1, and CYP3A4 were considered candidate liver-biopsy markers for high risk of developing HCC and poor prognosis in HCC. Upregulation of hsa-mir-1269b, hsa-mir-518d, hsa-mir-548aq, hsa-mir-548f-1, and hsa-mir-6728, and downregulation of hsa-mir-139 and hsa-mir-4800 were determined to be risk factors of poor prognosis, and most of these miRNAs have strong potential to help regulate the expression of key genes. Conclusions This study undertook the first large-scale integrated bioinformatics analysis of the data from Illumina BeadArray platforms and the TCGA database. With a comprehensive analysis of transcriptional alterations, including mRNAs and miRNAs, in HCC, our study presented candidate biomarkers for the surveillance and prognosis of the disease, and also identified novel therapeutic targets at the molecular and pathway levels.


1998 ◽  
Vol 44 (6) ◽  
pp. 1177-1183 ◽  
Author(s):  
Michael J Duffy ◽  
Catherine Duggan ◽  
Hugh E Mulcahy ◽  
Enda W McDermott ◽  
Niall J O’Higgins

Abstract Urokinase plasminogen activator (uPA) is a serine protease causally involved in cancer invasion and metastasis. In this study, high concentrations of uPA in primary breast cancers were independently associated with both a shortened disease-free interval and overall survival. For the disease-free interval as endpoint, uPA was a stronger indicator of outcome than lymph node status, whereas for overall survival, nodal status was stronger than uPA. In patients without metastasis to axillary nodes, uPA was also an independent prognostic marker, using both the disease-free interval and overall survival as end points. In contrast to uPA, neither tumor size nor estrogen receptor status was prognostic in the node-negative patients. Measurement of uPA concentrations might thus be of value in selecting the more aggressive subpopulation of node-negative breast cancer patients that could benefit from adjuvant therapy.


2021 ◽  
pp. 1-10
Author(s):  
Pragya Kumari ◽  
Gajendra K. Vishwakarma ◽  
Atanu Bhattacharjee

BACKGROUND: HER2, ER, PR, and ERBB2 play a vital role in treating breast cancer. These are significant predictive and prognosis biomarkers of breast cancer. OBJECTIVE: We aim to obtain a unique biomarker-specific prediction on overall survival to know their survival and death risk. METHODS: Survival analysis is performed on classified data using Classification and Regression Tree (CART) analysis. Hazard ratio and Confidence Interval are computed using MLE and the Bayesian approach with the CPH model for univariate and multivariable illustrations. Validation of CART is executed with the Brier score, and accuracy and sensitivity are obtained using the k-nn classifier. RESULTS: Utilizing CART analysis, the cut-off value of continuous-valued biomarkers HER2, ER, PR, and ERBB2 are obtained as 14.707, 8.128, 13.153, and 6.884, respectively. Brier score of CART is 0.16 towards validation of methodology. Survival analysis gives a demonstration of the survival estimates with significant statistical strategies. CONCLUSIONS: Patients with breast cancer are at low risk of death, whose HER2 value is below its cut-off value, and ER, PR, and ERBB2 values are greater than their cut-off values. This comparison is with the patient having the opposite side of these cut-off values for the same biomarkers.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3884-3884
Author(s):  
Anton Parker ◽  
Jade Forster ◽  
Stacey Reichter ◽  
David Gonzalez de Castro ◽  
Daniel Catovsky ◽  
...  

Abstract Abstract 3884 Telomere length measurement has been reported to predict time to first treatment (TTFT) and overall survival from diagnosis in chronic lymphocytic leukaemia (CLL). Of note, the study by Rossi et al (Leukemia, 2009), of presentation samples from over 400 CLL patients, showed short telomere length predicted reduced TTFT, independent of established prognostic biomarkers such as disease stage, immunoglobulin heavy chain variable region (IGHV) mutation status and unfavourable genomic aberrations. However, to date no studies have been reported on the value of telomere length as a biomarker in CLL at time of first therapy. We have used the monochrome multiplex quantitative PCR (MMQPCR) method of Cawthon (Nucleic Acids Research, 2009), to determine relative average telomere length in peripheral blood mononuclear cell DNA from treatment naive CLL patients at time of enrolment into the phase III UKCLL4 trial. MMQPCR reports a telomere length value (T/S) which has been shown to correlate linearly with mean telomere terminal restriction fragment length as determined by southern blotting. Telomere length was measured for 375/777 patients selected from the trial, of the 375 cases 157, 85 and 133 were randomised to the Chlorambucil, Fludarabine or Fludarabine plus Cyclophosphamide (FC) arms respectively. Other than an increased proportion of cases from FC arm, the selected cohort did not differ from the whole trial cohort. The median T/S for all cases was 2.60 (range, 0.61–19.05). In a multiple linear regression model, only age at trial entry and IGHV homology to germline had significant predictive effect for T/S (p=0.023 and <0.0001 respectively). Whereas, Beta-2 microglobulin levels (B2M), WBC, time from diagnosis to study entry, percentage ZAP70 positive tumour cells and percentage CD38 positive tumour cells did not. T/S was significantly lower in cases with unmutated compared with mutated IGHV genes, with del 17p compared with no del 17p and with del 11q compared with no del 11q (all p<0.001) but did not significantly differ with disease stage, gender, or between those cases with or without trisomy 12. Splitting cases into two groups based on those with T/S above or below the median, short telomeres were associated with TP53 loss or mutation, del 11q and unmutated IGHV (all p<0.001) but not with gender or disease stage. Cases with short telomeres also showed significantly higher expression of ZAP70 and CD38 (both p<0.001) and of B2M (p=0.03). In univariate survival analysis, cases with short telomeres showed significantly reduced progression free survival after therapy (PFS) (median; 21.1 months v 33.3 months, p<0.001) and overall survival after therapy (OS) (median; 57.5 months v 108.7 months, p<0.001). Stratifying by IGHV mutational status; short telomeres remained associated with significantly reduced PFS and OS in both IGHV mutated cases (PFS, median; 22.1 months v 42.3 months, p=0.002 and OS, median; 75.9 months v not reached, p<0.001) and IGHV unmutated cases (PFS, median; 21.7 months v 25.7 months, p=0.049 and OS, median; 54.8 months v 81.9 months, p=0.005). Multivariate survival analysis, selected short telomere length as an independent predictor of reduced PFS (Hazard ratio (HR) 1.5; 95% CI 1.1–2.0; p=0.011) and OS (HR 1.9; 95% CI 1.3–2.8; p=0.002) in a model containing treatment arm, IGHV mutational status, age, gender, disease stage, del17p, del11q, ZAP70 expression and CD38 expression (Table 1).Table 1 –Multivariate Analysis for PFS and OS in a 236 Patient Cohort from UKCLL4 Trial.OutcomeCovariateHazard Ratio (HR)95% CI for HRSignificance (p)PFSShort telomeres1.501.10–2.050.011Treatment with FC0.360.26–0.49<0.001IGHV unmutated1.731.28–2.35<0.001Deletion 17p6.513.56–11.92<0.001Deletion 11q1.521.08–2.150.017OSShort telomeres1.881.27–2.780.002IGHV unmutated2.441.58–3.77<0.001Age1.051.03–1.07<0.001Deletion 17p6.843.63–12.89<0.001Only covariates selected as significant are listed above. These results demonstrate that telomere length is a powerful independent predictor of outcome after alkylating agent/purine analogue therapy in CLL. The simplicity and low cost of the MMQPCR assay for telomere length measurement warrants validation of these findings and comparison with other assays for telomere length in other large clinical trials. If confirmed, this prognostic biomarker has the potential for more widespread use in CLL. Disclosures: Gonzalez de Castro: The Institute of Cancer Research: Employment.


Author(s):  
Jianyang Hu ◽  
Yuni Lai ◽  
Hao Huang ◽  
Saravanan Ramakrishnan ◽  
Yilin Pan ◽  
...  

Abstract Background Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with poor prognosis. By performing multiomic profiling, we recently uncovered super-enhancer heterogeneity between breast cancer subtypes. Our data also revealed TCOF1 as a putative TNBC-specific super-enhancer-regulated gene. TCOF1 plays a critical role in craniofacial development but its function in cancer remains unclear. Methods Overall survival and multivariant Cox regression analyses were conducted using the METABRIC data set. The effect of TCOF1 knockout on TNBC growth and stemness was evaluated by in vitro and in vivo assays. RNA-seq and rescue experiments were performed to explore the underlying mechanisms. Results TCOF1 is frequently upregulated in TNBC and its elevated expression correlates with shorter overall survival. TCOF1 depletion significantly inhibits the growth and stemness of basal-like TNBC, but not of mesenchymal-like cells, highlighting the distinct molecular dependency in different TNBC subgroups. RNA-seq uncovers several stem cell molecules regulated by TCOF1. We further demonstrate that KIT is a downstream effector of TCOF1 in mediating TNBC stemness. TCOF1 expression in TNBC is regulated by the predicted super-enhancer. Conclusions TCOF1 depletion potently attenuates the growth and stemness of basal-like TNBC. Expression of TCOF1 may serve as a TNBC prognostic marker and a therapeutic target.


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