scholarly journals Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
Mingdi Zhang ◽  
Hongliang Chen ◽  
Maoli Wang ◽  
Fang Bai ◽  
Kejin Wu
Keyword(s):  
Breast Cancer ◽  
Bioinformatics Analysis ◽  
Prognostic Significance ◽  
Growth Factor Receptor ◽  
Disease Free Survival ◽  
Predictive Biomarker ◽  
Expression Level ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Metastatic Relapse

Abstract Background: Collagen type X alpha 1 (COL10A1) is overexpressed in diverse tumors and displays vital roles in tumorigenesis. However, the prognostic value of COL10A1 in breast cancer remains unclear. Methods: The expression of COL10A1 was analyzed by the Oncomine database and UALCAN cancer database. The relationship between COL10A1 expression level and clinical indicators including prognostic data in breast cancer were analyzed by the Kaplan–Meier Plotter, PrognoScan, and Breast Cancer Gene-Expression Miner (bc-GenExMiner) databases. Results: COL10A1 was up-regulated in different subtypes of breast cancer. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor-2 (HER-2) status and nodal status were positively correlated with COL10A1 expression. Conversely, age, the Scarff–Bloom–Richardson (SBR) grade, basal-like status, and triple-negative status were negatively related to COL10A1 level in breast cancer samples compared with normal tissues. Patients with increased COL10A1 expression level showed worse overall survival (OS), relapse-free survival (RFS), distant metastasis-free survival (DMFS) and disease-free survival (DFS). COL10A1 was positively correlated with metastatic relapse-free survival. GSEA analysis revealed that enrichment of TGF-β signaling pathway. 15-leucine-rich repeat containing membrane protein (LRRC15) is a correlated gene of COL10A1. Conclusion: Bioinformatics analysis revealed that COL10A1 might be considered as a predictive biomarker for prognosis of breast cancer. Further experiments and clinical trials are essential to elucidate the value of COL10A1 in breast cancer treatment.

scholarly journals Bioinformatics analysis revealing prognostic significance of RRM2 gene in breast cancer

2019 ◽  
Vol 39 (4) ◽  
Author(s):  
Wei-xian Chen ◽  
Liang-gen Yang ◽  
Ling-yun Xu ◽  
Lin Cheng ◽  
Qi Qian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Bioinformatics Analysis ◽  
Prognostic Significance ◽  
Prognostic Index ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Metastatic Relapse

Abstract Background: Ribonucleotide reductase M2 subunit (RRM2) plays vital roles in many cellular processes such as cell proliferation, invasiveness, migration, angiogenesis, senescence, and tumorigenesis. However, the prognostic significance of RRM2 gene in breast cancer remains to be investigated. Methods:RRM2 expression was initially evaluated using the Oncomine database. The relevance between RRM2 level and clinical parameters as well as survival data in breast cancer was analyzed using the Kaplan–Meier Plotter, PrognoScan, and Breast Cancer Gene-Expression Miner (bc-GenExMiner) databases. Results:RRM2 was overexpressed in different subtypes of breast cancer patients. Estrogen receptor (ER) and progesterone receptor (PR) were negatively correlated with RRM2 expression. Conversely, the Scarff–Bloom–Richardson (SBR) grade, Nottingham prognostic index (NPI), human epidermal growth factor receptor-2 (HER-2) status, nodal status, basal-like status, and triple-negative status were positively related to RRM2 level in breast cancer samples with respect to normal tissues. Patients with increased RRM2 showed worse overall survival, relapse-free survival, distant metastasis-free survival, disease-specific survival, and disease-free survival. RRM2 also exerted positive effect on metastatic relapse event. Besides, a positive correlation between RRM2 and KIF11 genes was confirmed. Conclusion: Bioinformatics analysis revealed that RRM2 might be used as a predictive biomarker for prognosis of breast cancer. Further studies are needed to more precisely elucidate the value of RRM2 in evaluating breast cancer prognosis.

scholarly journals Bioinformatics analysis of prognostic value of TRIM13 gene in breast cancer

2019 ◽  
Vol 39 (3) ◽  
Author(s):  
Wei-xian Chen ◽  
Lin Cheng ◽  
Ling-yun Xu ◽  
Qi Qian ◽  
Yu-lan Zhu
Keyword(s):  
Breast Cancer ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Bioinformatics Analysis ◽  
Prognostic Significance ◽  
Breast Cancer Treatment ◽  
Breast Cancer Patients ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Metastatic Relapse

Abstract Background: Tripartite motif 13 (TRIM13) plays a significant role in various biological processes including cell growth, apoptosis, transcriptional regulation, and carcinogenesis. However, the prognostic significance of TRIM13 gene in breast cancer treatment remains largely unclear. Methods: We performed a bioinformatics analysis of the clinical parameters and survival data as it relates to TRIM13 in breast cancer patients using several online databases including Oncomine, bcGenExMiner, PrognoScan, and UCSC Xena. Results: We found that TRIM13 was lower-expressed in different subtypes of breast cancer with respect to normal tissues. Estrogen receptor and progesterone receptor status were positively correlated with TRIM13 level; whereas, the Scarff–Bloom–Richardson grade, Nottingham prognostic index, nodal status, basal-like status, and triple-negative status were negatively related to TRIM13 expression in breast cancer patients with respect to normal individuals. Lower TRIM13 expression correlated with worse distant metastasis free survival, relapse free survival, disease specific survival, and metastatic relapse free survival. We also confirmed a positive correlation between TRIM13 and RAB11FIP2 gene expression. Conclusion: Bioinformatics analysis revealed that TRIM13 may be adopted as a promising predictive biomarker for prognosis of breast cancer. More in-depth experiments and clinical trials are needed to validate the value of TRIM13 in breast cancer treatment.

scholarly journals HOTAIR as a Prognostic Predictor for Diverse Human Cancers: A Meta- and Bioinformatics Analysis

Cancers ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 778 ◽  
Author(s):  
Halil Ibrahim Toy ◽  
Didem Okmen ◽  
Panagiota I. Kontou ◽  
Alexandros G. Georgakilas ◽  
Athanasia Pavlopoulou
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Predictive Biomarker ◽  
Free Survival ◽  
Human Cancers ◽  
Potential Biomarker

Several studies suggest that upregulated expression of the long non-coding RNA HOX transcript antisense RNA (HOTAIR) is a negative predictive biomarker for numerous cancers. Herein, we performed a meta-analysis to further investigate the prognostic value of HOTAIR expression in diverse human cancers. To this end, a systematic literature review was conducted in order to select scientific studies relevant to the association between HOTAIR expression and clinical outcomes, including overall survival (OS), recurrence-free survival (RFS)/disease-free survival (DFS), and progression-free survival (PFS)/metastasis-free survival (MFS) of cancer patients. Collectively, 53 eligible studies including a total of 4873 patients were enrolled in the current meta-analysis. Pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were calculated to assess the relationship between HOTAIR and cancer patients’ survival. Elevated HOTAIR expression was found to be significantly associated with OS, RFS/DFS and PFS/MFS in diverse types of cancers. These findings were also corroborated by the results of bioinformatics analysis on overall survival. Therefore, based on our findings, HOTAIR could serve as a potential biomarker for the prediction of cancer patient survival in many different types of human cancers.

Is It The Time That We Can Depend on Bioscore as a New Staging System in Non-Metastatic Breast Cancer to Predict the Disease-Free Survival?

2021 ◽  
Author(s):  
Rehab Farouk Mohamed ◽  
Donia Hussein Abd El Hameed ◽  
Mohamed Alaa Eldeen Hassan
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Prognostic Value ◽  
Univariate Analysis ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Metastatic Breast ◽  
Her2 Status ◽  
Free Survival ◽  
Disease Free

Abstract Purpose: Novel molecular characterization of breast cancer with cellular markers has allowed a new classification that offers prognostic value. This study investigates the prognostic value of the Bioscore among non-metastatic breast cancer patients with respect to disease free survival (DFS).Methods: This study included 317 patients with non-metastatic surgically treated breast cancer; they were identified in the period from January 2015 to December 2018 at Clinical Oncology Department of Assiut University Hospital. Many variables were used; pathologic stage (PS), T stage (T), nodal stage (N), grade (G), estrogen receptor (ER), progesterone receptors (PR), and human epidermal growth factor receptor (HER2) status. Univariate & two multivariate analyses were performed to identify which of these variables are associated with disease-free survival (DFS). Results: The only significant factors in the Univariate analysis were PS3, T2, T3, T4, N3, G2, G3, ER -ve, PR -ve, and HER2 –ve. The factors which were significant in the first multivariate analysis; PS3, G3, ER –ve, and in the second one were; T2, T4, N3, G3, and ER –ve. Two sets of models were built to determine the utility of combining variables. Models incorporating G and E status had the highest C-index (0.72) for T+N + G + ER in comparison with (0.69) for (PS+ G + ER) and the lowest AIC (953.01) for T + N + G + E and (966.9) for PS + G + E. Conclusions: This study confirms the prognostic significance of bioscore in non-metastatic breast cancer in concerning DFS.

BRCA-associated breast cancer in young women.

1998 ◽  
Vol 16 (5) ◽  
pp. 1642-1649 ◽  
Author(s):  
M Robson ◽  
T Gilewski ◽  
B Haas ◽  
D Levin ◽  
P Borgen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Brca Mutation ◽  
Brca2 Mutation ◽  
Prognostic Significance ◽  
Event Free Survival ◽  
Relapse Free Survival ◽  
Brca Mutations ◽  
Free Survival ◽  
Clinical Records ◽  
Incident Cases

PURPOSE To delineate the clinical characteristics and outcomes of breast cancer that arises in the setting of a germline BRCA mutation and to compare BRCA-associated breast cancers (BABC) with those that arise in women without mutations. PATIENTS AND METHODS We reviewed the clinical records of 91 Ashkenazi Jewish women ascertained during studies of the genetics of early-onset breast cancer. All women underwent testing for the BRCA1 mutations 185delAG and 5382insC. After the discovery of BRCA2, 79 women were also tested for the BRCA2 mutation 6174delT. RESULTS Mutations were identified in 30 women (33%). BABC were less likely to present with stage I disease than cases in women without mutations (27% v 46%), more likely to have axillary nodal involvement (54% v46%), and more likely to have extensive axillary involvement (25% v 17%). These differences were not statistically significant. BABC were significantly more likely to be histologic grade III (100% v 59%, P=.04) and to be estrogen receptor-negative (70% v 34%, P=.04). In the entire cohort, there were no significant differences between BABC and non-BRCA-associated cancers in 5-year relapse-free survival (65% v 69%, P=not significant [NS]), 5-year event-free survival (57% v 68%, P=NS), or 5-year overall survival. However, among cases diagnosed within 2 years of study entry, there was a trend toward shorter event-free survival in BRCA heterozygotes, but not relapse-free survival. Women with germline BRCA mutations were significantly more likely to develop contralateral breast cancer at 5 years (31% v 4%, P=.0007). CONCLUSION BABC present with adverse clinical and histopathologic features when compared with cases not associated with BRCA mutations. However, the prognosis of BABC appears to be similar to that of nonassociated cancer. Further studies of incident cases are necessary to define the independent prognostic significance of germline BRCA mutations.

scholarly journals Weight changes during chemotherapy for breast cancer

2002 ◽  
Vol 120 (4) ◽  
pp. 113-117 ◽  
Author(s):  
Luciano José Megale Costa ◽  
Paulo César Spotti Varella ◽  
Auro del Giglio
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Body Weight ◽  
Weight Gain ◽  
Weight Change ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Weight Changes ◽  
Free Survival ◽  
Disease Free

CONTEXT: Patients receiving adjuvant chemotherapy for breast cancer have a tendency to gain weight. This tendency has determining factors not completely defined and an unknown prognostic impact. OBJECTIVE: To evaluate weight change during chemotherapy for breast cancer in a defined population and to identify its predisposing factors and possible prognostic significance. DESIGN: Observational, retrospective cohort study. SETTING: Private clinical oncology service. PARTICIPANTS: 106 consecutive patients with breast cancer treated between June 1994 and April 2000, who received neoadjuvant (n = 8), adjuvant (n = 74) or palliative (n = 24) chemotherapy. INTERVETION: Review of medical records and gathering of clinical information, including patients’ body weights before treatment and at follow-up reviews. MAIN MEASUREMENTS: Body weight change, expressed as percentage of body weight per month in treatment; role of clinical data in weight change; and influence of weight change in overall survival and disease-free survival. RESULTS: There was a mean increase of 0.50 ± 1.42% (p = 0.21) of body weight per month of treatment. We noted a negative correlation between metastatic disease and weight gain (r = -0.447, p < 0.0001). In the adjuvant and neoadjuvant therapy groups there was a mean weight gain of 0.91 ± 1.19 % (p < 0.00001) per month, whereas in the metastatic (palliative) group, we observed a mean loss of 0.52 ± 1.21% (p = 0.11) of body weight per month during the treatment. We did not observe any statistically significant correlation between weight changes and disease-free survival or overall survival. CONCLUSIONS: Women with breast cancer undergoing adjuvant or neoadjuvant chemotherapy gain weight, whereas metastatic cancer patients will probably lose weight during palliative chemotherapy. Further studies are needed in order to evaluate the prognostic significance of weight changes during chemotherapy.

Prognostic significance of immunohistochemical expression of Rb gene product in operable breast cancer

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21121-21121
Author(s):  
H. Song ◽  
Y. Do ◽  
S. Gang ◽  
S. Kwon ◽  
S. Kim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Gene Product ◽  
Prognostic Significance ◽  
Breast Cancer Patients ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Node Metastasis ◽  
Rb Gene

21121 Background: The aim of this study was to investigate the prognostic significance of the expression of Rb gene product in operable invasive breast cancer by performing immunohistochemical analysis. Methods: Between January 1993 and December 2001, 212 operable invasive breast cancer patients underwent immunohistochemical staining for Rb, and we retrospectively analyzed these results together with the clinical outcomes. Results: The overexpression of p53 was detected in 72.7% of the cases. The overexpression of Rb was correlated with positive hormonal receptor (p=0.000), and inversely correlated with lymph node metastasis (p=0.017) and vascular invasion (p=0.004). The tumor size, tumor histology, histologic grade, and tumor stage were not related to the overexpression of p53. Multivariate Cox regression analysis indicate that lymph node metastasis and tumor size were the significant prognostic factors for overall survival; lymph node metastasis was the significant prognostic factor for relapse free survival. On the subgroup analysis, the Rb expressors showed better 7-year overall survival (98.5% vs. 81.5%, respectively, p=0.005) and relapse free survival (94.1% vs. 77.4%, respectively, p=0.021) than did the p53 non-overexpressors for the patients without lymph node metastasis. However, for the patients with lymph node metastasis, the survival rates were not different for both the Rb expressors and the Rb non-expressors. Conclusions: Immunohistochemical staining of the Rb gene product was an independent prognostic factor for predicting survival of the lymph node negative operable breast cancer patients. No significant financial relationships to disclose.

Prognostic significance of NANOG and KLF4 for breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e12028-e12028
Author(s):  
Takuya Nagata
Keyword(s):  
Breast Cancer ◽  
Hormone Receptor ◽  
Es Cells ◽  
Prognostic Significance ◽  
Embryonic Stem ◽  
Disease Free Survival ◽  
Free Survival ◽  
Strong Expression ◽  
Inducing Factors ◽  
Disease Free

e12028 Background: iPS cell inducing factors (Oct3/4, Sox2, Klf4, c-Myc, and Nanog ) are reported that they appears not only in ES cells(Embryonic stem cell), but also in normal cell or carcinoma cell, including breast carcinoma. We evaluated the expression of iPS inducing factors in the human breast cancer specimen with immunohistochemistry, and analyze the relativity of the relapse and the prognosis after the operation. Methods: 200 cases of breast cancer that were performed the surgical operation in this department were examined. Expression of c-MYC, KLF4, NANOG, OCT4 and SOX2 were determined by immunohistochemistry using a tissue microarray. Results: The average of the patient's age was 55.2 years old (29 - 87), and the advanced breast cancers in stage II or more were 122 cases (61%). About the hormone receptor and the HER2 appearance, Hormone receptor positively (HR+) types were 162 cases (81%), 10 cases (5%) were HER2 positively (HER2+) type, and 28 cases (14%) were triple negative (TN) type. During the following period from operation, the relapse was found in 48 cases (24%), and 18 cases (9%) were died. The average of survival time after the operation was 80.7 months (4 - 162). Patients with strong expression of NANOG had significantly lower disease-free survival and overall survival rates than those with weak expression of NANOG (p=0.004 and P=0.033, respectively). In contrast, patients with strong expression of KLF4 had better disease-free survival (p=0.014). Conclusions: Strong expression of NANOG was an indicator of a poor prognosis for breast cancer patients, while KLF4 was a favorable prognostic indicator. Our results suggest that NANOG stimulates the growth and metastasis of breast cancer cells, whereas KLF4 inhibits these processes.

scholarly journals Prognostic significance of NDRG2 combined with EGFR-sensitizing mutations in lung adenocarcinoma

2020 ◽  
Author(s):  
Bo Yang ◽  
Linlin Ji ◽  
Yiling Feng ◽  
Xiao-Ping Li ◽  
Hong-Gang Zhou ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Significance ◽  
Growth Factor Receptor ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Lung Parenchyma ◽  
Clinicopathological Characteristics ◽  
Free Survival ◽  
Positive Correlations ◽  
Lung Puncture

Abstract Background: N-myc downstream-regulated gene 2 (NDRG2) plays a substantial role in lung adenocarcinoma (LUAD). Epidermal growth factor receptor (EGFR)-sensitizing mutation could significantly improve prognosis in patients with LUAD. Here, we aimed to elucidate the prognostic value of NDRG2 combined with EGFR-sensitizing mutations in patients with LUAD. Methods: Lung parenchyma specimens obtained during surgery or CT-guide percutaneous lung puncture biopsy for the NDRG2 protein and EGFR genomic testing were obtained. Associations between NDRG2/EGFR and clinicopathological characteristics of patients with LUAD were extracted from the Tianjin First Central Hospital in China between June 2013 and June 2014. Results: The expression of NDRG2 was significantly decreased in patients with LUAD. Expressions of NDRG2 and EGFR-sensitizing mutations showed positive correlations with survival. Expression of NDRG2 and EGFR-sensitizing mutations were associated with the longer overall survival (OS), disease-free survival (DFS) and progression-free survival (PFS). Advanced stages were significantly associated with low expression of NDRG2. In multivariate analysis, compared with other patients, NDRG2 (+)/EGFR (+) was independently associated with prolonged OS and PFS. Conclusion: NDRG2 combined with EGFR-sensitizing mutations might be valuable markers to evaluate the prognosis of LUAD patients.

Sign in / Sign up

Export Citation Format

Share Document