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 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 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 Probiotics for the Treatment of Docetaxel-Related Weight Gain of Breast Cancer Patients—A Single-Center, Randomized, Double-Blind, and Placebo-Controlled Trial

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhang Juan ◽  
Zhang Qing ◽  
Liang Yongping ◽  
Liyuan Qian ◽  
Wei Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Weight ◽  
Weight Gain ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Body Fat ◽  
Breast Cancer Treatment ◽  
Body Fat Percentage ◽  
Breast Cancer Patients ◽  
Fat Percentage

Background: Docetaxel is an important chemotherapy-agent for breast cancer treatment. One of its side-effects is weight gain, which increases the all-cause mortality rate. Considering gut microbiota is one important factor for weight regulation, we hypothesized that probiotics could be potentially used to reduce the docetaxel-related weight gain in breast cancer patients.Methods: From 10/8/2018 to 10/17/2019, 100 breast cancer (Stage I-III) patients underwent four cycles of docetaxel-based chemotherapy were enrolled and randomly assigned to receive probiotics (Bifidobacterium longum, Lactobacillus acidophilus, and Enterococcus faecalis) or placebo (supplementary material of the probiotics capsule) treatment for 84 days with three capsules per time, twice/day. The primary outcome: the changes in body weight and body-fat percentage of the patients were measured by a designated physician using a fat analyzer, and the secondary outcomes: the fasting insulin, plasma glucose, and lipids were directly obtained from the Hospital Information System (HIS); The metabolites were measured using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS); The fecal microbiome was analyzed using bacterial 16S ribosomal RNA (rRNA) gene sequence. All indicators were measured 1 day before the first cycle of docetaxel-based chemotherapy and 21 days after the last cycle of docetaxel-based chemotherapy.Results: Compared with the placebo group, the probiotic group showed significantly smaller changes in body weight (Mean [SD] 0.77 [2.58] vs. 2.70 [3.08], P = 0.03), body-fat percentage (Mean [SD] 0.04 [1.14] vs. 3.86 [11.09], P = 0.02), and low density lipoprotein (LDL) (Mean [SD]−0.05[0.68] vs. 0.39 [0.58], P = 0.002). Moreover, five of the 340 detected plasma metabolites showed significant differences between the two groups. The change of biliverdin dihydrochloride (B = −0.724, P = 0.02) was inverse correlated with weight gain. One strain of the phylum and three strains of the genus were detected to be significantly different between the two groups. Also, the changes of Bacteroides (B = −0.917, P < 0.001) and Anaerostipes (B = −0.894, P < 0.001) were inverse correlated with the change of LDL.Conclusions: Probiotics supplement during docetaxel-based chemotherapy for breast cancer treatment may help to reduce the increase in body weight, body-fat percentage, plasma LDL, and minimize the metabolic changes and gut dysbacteriosis.Clinical Trial Registration:http://www.chictr.org.cn/showproj.aspx?proj=24294, ChiCTR-INQ-17014181.

Factors influencing options in primary breast cancer treatment.

1987 ◽  
Vol 5 (1) ◽  
pp. 68-74 ◽  
Author(s):  
W H Wolberg ◽  
M A Tanner ◽  
E P Romsaas ◽  
D L Trump ◽  
J F Malec
Keyword(s):  
Breast Cancer ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Primary Breast Cancer ◽  
Breast Cancer Treatment ◽  
Cancer Information ◽  
Breast Cancer Patients ◽  
Term Survival ◽  
Tumor Excision ◽  
Factors Influencing

Primary breast cancer treatment is determined by tumor factors and by patient preference. Breast cancer treatments that preserve the cosmetic appearance of the breast are appealing and effective for appropriately selected patients; long-term survival following tumor excision and breast irradiation appears to be comparable to that for mastectomy. Since April 1981, when a protocol was developed and treatment options were offered, factors influencing treatment selection have been analyzed in 206 consecutive primary breast cancer patients. Mastectomy was dictated by tumor-related factors in 96 patients (47%); 110 patients (53%) had the option of mastectomy or conservation--tumor excision plus radiotherapy to the breast. Among these 110 eligible patients, 54 chose conservation (49%) and 56 chose mastectomy (51%). Intraoperative findings for ten patients electing conservation necessitated mastectomy, so conservation was accomplished for 44 (21%) of those treated for breast cancer. Beginning in July 1982, breast cancer patients took a battery of psychosexual assessments before any operation (Profile of Mood States [POMS], Health Locus of Control Scale [HLCS] Locke-Wallace Marital Adjustment Test [MAT], Psychosocial Adjustment to Illness Scale [PAIS], Derogatis Sexual Function Inventory [DSFI], Millon Clinical Multiaxial Inventory [MCMI], and a Breast Cancer Information Test [BCIT]). Comparisons of psychologic and demographic variables were made between patients who chose mastectomy and those who chose conservation. No demographic variable was statistically significantly related to choice, although older women tended to select mastectomy more than younger women. Compared with those who elected conservation, women who elected mastectomy were more tense and anxious (P less than .01), more introverted (P less than .01), felt more depressed and dejected (P less than .05), and reported more sexual problems (P less than .05). Those who elected conservation valued their physical appearance more highly (P less than .01) and were generally more self-interested (P less than .05). Mastectomy was dictated by medical considerations for approximately half of patients with breast cancer. Among candidates for breast conservation, the importance of retaining the breast appeared to be determined to a significant degree by measurable psychological factors.

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.

Involvement of NK cell molecular signatures in favorable prognosis of breast cancer patients.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10565-10565
Author(s):  
Maria Libera Ascierto ◽  
Michael O Idowu ◽  
Yingdong Zhao ◽  
Davide Bedognetti ◽  
Paolo Antonio Ascierto ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Nk Cells ◽  
Cancer Patients ◽  
Adhesion Molecules ◽  
Nk Cell ◽  
Breast Cancer Patients ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Favorable Prognosis ◽  
Activating Receptors

10565 Background: Tumor cell recognition by NK cells is mediated by the interaction of activating and inhibitory NK cell receptors with their ligands expressed on tumor cells. In addition, NK cells express adhesion molecules that facilitate formation of the immunological synapse with the tumor targets. Here, we investigated whether the coordinate expression of NK activating receptors and adhesion molecules could provide a signature to segregate breast cancer patients into relapse and relapse-free outcomes. Methods: Gene expression profiling, RT-PCR screening and survival analysis were performed on RNA extracted from primary breast cancers. Tumors were obtained from patients experiencing either 5-8 years relapse-free survival or tumor relapse within 1-3 years following initial treatment. Results: Tumors from patients with a favorable prognosis were characterized by increased expression of genes involved in NK cell interaction with tumor cells and its activation signaling. In particular, up-regulation of Natural Cytotoxicity Receptors (NCRs), leukocyte function-associated antigen 1 (LFA-1), CD226 (DNAM-1) and CD96 was observed in relapse-free patients. Thus, the expression of the NK activating receptors and relevant adhesion molecules involved in NK cell:target interactions can predict relapse free survival in breast cancer patients. Conclusions: Results from the present study, highlighted the effector cooperation between the innate and adaptive immune components within the tumor microenvironment. The NK cells parameters identified in this study, together with the prognostic B and T cell signatures previously reported by us, represent a powerful tool for predicting breast cancer outcome which might be easily introduced in clinical practice.

Serum metabolism during breast cancer treatment.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e23043-e23043
Author(s):  
Guro Fanneløb Giskeødegård ◽  
Torfinn Støve Madssen ◽  
Riyas Vettukattil ◽  
Vidar Gordon Flote ◽  
Anders Husøy ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Weight Gain ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Breast Cancer Treatment ◽  
Post Treatment ◽  
Breast Cancer Patients ◽  
National Guidelines ◽  
Lipoprotein Subfractions ◽  
Metabolite Profiles

e23043 Serum metabolism during breast cancer treatment Background: Breast cancer treatment may include surgery, systemic therapy and radiation, often involving side-effects. Many patients experience weight gain during treatment, which is associated with decreased survival rates1. The purpose of this study was to describe serum metabolic alterations in breast cancer patients undergoing treatment, and relate these alterations to weight gain during treatment. Methods: This pilot study includes 60 breast cancer patients, aged 35-75 years, with histologically verified stage I/II disease. All patients underwent tumor surgery, and were treated according to national guidelines. Samples were collected before and 6 months after surgery, and analyzed by MR spectroscopy (MRS) and mass spectrometry (MS). 170 metabolites and 105 lipoprotein subfractions were quantified by combined MRS and MS analyses. Results: Multilevel PLS-DA showed significant alterations in serum metabolite profiles post-treatment, both in patients receiving (n = 35) and not receiving (n = 25) chemotherapy (classification accuracy: 86.7% and 77.0%, resp., p < 0.001). Lipoprotein profiles were also significantly altered in both groups (p < 0.001). Chemotherapy recipients had decreased levels of citrate, ornithine, and methionine after treatment, while non-recipients had increased levels of glutamate, alanine, proline and two biogenic amines, and decreased levels of acylcarnitines. 17/52 patients (32.7%) gained weight (≥ 1.5 kg) during treatment. Weight gain was predicted from pre-treatment samples with accuracy 67.0% (p = 0.020). Weight gain patients had lower levels of three acylcarnitines and 20 phosphocholines, and higher levels of lysine and isoleucine, suggesting aberrant lipid and amino acid metabolism. Weight gain was also reflected in the post-treatment samples (accuracy 66.8%, p = 0.015), with weight gain patients having higher levels of five acylcarnitines, and lower levels of glycine, isoleucine and valine. Conclusions: This study indicates that treatment induces changes in serum metabolite levels. Patients gaining weight had significantly different metabolite profiles than those not gaining weight both before and after treatment. 1. Chan et al, Ann Oncol 25: 1901-14, 2014.

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