scholarly journals ALDH1 Expression and Vasculogenic Mimicry Are Positively Associated with Poor Prognosis in Patients with Breast Cancer

2018 ◽  
Vol 49 (3) ◽  
pp. 961-970 ◽  
Author(s):  
Peng Xing ◽  
Huiting Dong ◽  
Qun Liu ◽  
Tingting Zhao ◽  
Fan Yao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Histological Grade ◽  
Vasculogenic Mimicry ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Double Positive ◽  
The Status ◽  
Aldh1 Expression

Background/Aims: This study aimed to explore the prognostic value of aldehyde dehydrogenase 1 (ALDH1) expression and vasculogenic mimicry (VM) in patients with breast cancer. Methods: ALDH1 expression and the presence of VM were examined by immunohistochemistry and CD31/PAS double staining, respectively, using formalin-fixed paraffin-embedded tissues from 202 breast cancer patients. The mean follow-up period ranged from 15 to 115 months. The Kaplan-Meier method was used to plot survival curves. Prognostic values were assessed by multivariate analysis using the Cox regression model. Results: ALDH1 expression was strongly associated with VM (P = 0.005). ALDH1 expression was positively correlated with histological grade (P = 0.011). Both ALDH1 expression and VM were negatively related to the status of the estrogen receptor and progesterone receptor and were statistically increased in triple-negative breast cancer. Patients with ALDH1 expression or VM displayed poorer disease-free survival (DFS) and overall survival (OS) than ALDH1-negative or VM-negative patients, with the worst OS and DFS observed in ALDH1/VM-double-positive patients. ALDH1-positive and VM-positive were independent survival risk factors for DFS and OS. Conclusion: ALDH1 expression and VM are correlated with the survival rate of patients with breast cancer. ALDH1 and VM, either alone or together, are prognostic factors in patients with breast cancer.

scholarly journals Statin use, HMGCR expression, and breast cancer survival – The Malmö Diet and Cancer Study

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Olöf Bjarnadottir ◽  
Maria Feldt ◽  
Maria Inasu ◽  
Pär-Ola Bendahl ◽  
Karin Elebro ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Survival ◽  
Cox Regression ◽  
Histological Grade ◽  
Breast Cancer Patients ◽  
Cancer Study ◽  
Drug Register ◽  
Diet And Cancer ◽  
Statin Use

AbstractStatins, commonly used to treat hypercholesterolemia, have also been proposed as anti-cancer agents. The identification of a predictive marker is essential. The 3-hydroxy-3-methylglutaryl-coenzyme-A reductase (HMGCR), which is inhibited by statins, might serve as such a marker. Thorough antibody validation was performed for four different HMGCR antibodies. Tumor expression of HMGCR (#AMAb90619, CL0260, Atlas Antibodies, Stockholm, Sweden) was evaluated in the Malmö Diet and Cancer Study breast cancer cohort. Statin use and cause of death data were retrieved from the Swedish Prescribed Drug Register and Swedish Death Registry, respectively. Breast cancer-specific mortality (BCM) according to statin use and HMGCR expression were analyzed using Cox regression models. Three-hundred-twelve of 910 breast cancer patients were prescribed statins; 74 patients before and 238 after their breast cancer diagnosis. HMGCR expression was assessable for 656 patients; 119 showed negative, 354 weak, and 184 moderate/strong expressions. HMGCR moderate/strong expression was associated with prognostically adverse tumor characteristics as higher histological grade, high Ki67, and ER negativity. HMGCR expression was not associated with BCM. Neither was statin use associated with BCM in our study. Among breast cancer patients on statins, no or weak HMGCR expression predicted favorable clinical outcome. These suggested associations need further testing in larger cohorts.

scholarly journals Survival impact of primary tumor resection in de novo metastatic breast cancer patients (GEICAM/El Alamo Registry)

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Sara Lopez-Tarruella ◽  
M. J. Escudero ◽  
Marina Pollan ◽  
Miguel Martín ◽  
Carlos Jara ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Cox Regression ◽  
De Novo ◽  
Histological Grade ◽  
Tumor Resection ◽  
Metastatic Breast ◽  
Breast Cancer Patients

AbstractThe debate about surgical resection of primary tumor (PT) in de novo metastatic breast cancer (MBC) patients persists. We explored this approach’s outcomes in patients included in a retrospective registry, named El Álamo, of breast cancer patients diagnosed in Spain (1990–2001). In this analysis we only included de novo MBC patients, 1415 of whom met the study’s criteria. Descriptive, Kaplan-Meier and Cox regression analyses were carried out. Median age was 63.1 years, 49.2% of patients had single-organ metastasis (skin/soft tissue [16.3%], bone [33.8%], or viscera [48.3%]). PT surgery (S) was performed in 44.5% of the cases. S-group patients were younger, had smaller tumors, higher prevalence of bone and oligometastatic disease, and lower prevalence of visceral involvement. With a median follow-up of 23.3 months, overall survival (OS) was 39.6 versus 22.4 months (HR = 0.59, p < 0.0001) in the S- and non-S groups, respectively. The S-group OS benefit remained statistically and clinically significant regardless of metastatic location, histological type, histological grade, hormone receptor status and tumor size. PT surgery (versus no surgery) was associated with an OS benefit suggesting that loco-regional PT control may be considered in selected MBC patients. Data from randomized controlled trials are of utmost importance to confirm these results.

Association of polymorphic drug metabolizing enzymes (DME) with outcomes in breast cancer patients treated on the ECOG 2190/Intergroup 0121 (E2190/Int0121) study

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 596-596
Author(s):  
P. P. Gor ◽  
R. J. Gray ◽  
M. Horn ◽  
T. R. Rebbeck ◽  
P. A. Gimotty ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Stem Cell ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Cox Regression ◽  
Disease Free Survival ◽  
High Dose Chemotherapy ◽  
High Dose ◽  
Breast Cancer Patients ◽  
Stem Cell Rescue

596 Background: Disparate outcomes of breast cancer patients after adjuvant chemotherapy may be influenced by variation in drug metabolism due to genetic polymorphisms in DME. Cyclophosphamide and thiotepa require activation by cytochrome P450 (CYP) and detoxification by glutathione-S-transferase, two highly polymorphic enzymes. We hypothesized that variants in CYP3A4(*1B), GSTM1 and GSTT1 would impact survival outcomes after adjuvant chemotherapy, with effects potentially modulated by chemotherapy dose. Methods: We performed a retrospective cohort study of patients enrolled on E2190/Int0121, a randomized trial of cyclophosphamide (C), doxorubicin (A), and fluorouracil (F) versus CAF + high dose chemotherapy (HDC) using cyclophosphamide and thiotepa followed by stem cell rescue; disease-free survival (DFS) and overall survival (OS) were equivalent in the clinical trial. PCR-based methods were used to genotype hematologic stem cells. Hazard ratios for genotypes were obtained using Cox regression. Results: Stem cell samples and clinical data from August 1, 1991 through August 1, 2005 were available for 347/540 of patients enrolled; 151 patients on CAF and 196 on CAF + HDC arms, respectively. Median follow-up was 9.8 years. See table . CYP3A4*1B allele carriers had significantly poorer DFS (HR 1.84) in the combined cohort and CAF arm (HR 1.87), but not in the HDC arm; OS was not significant by CYP3A4 genotype. GSTM1 null homozygotes in the combined cohort and HDC arm had significantly better DFS (HR 0.70 and 0.66, respectively) and OS (HR 0.67 and 0.57, respectively), but not in the CAF arm. GSTT1 null homozygotes had significantly worse DFS (HR 2.3) and OS (2.02) in the CAF arm, but not in the HDC arm or combined cohort. Conclusions: In the overall E2190/Int0121 cohort, polymorphisms in activating (CYP3A4*1B) and inactivating (GSTM1) DME significantly impact DFS and OS. The detrimental effect of GSTT1 in the CAF arm appears to be ameliorated by HDC. [Table: see text] No significant financial relationships to disclose.

scholarly journals Postmastectomy radiotherapy after neoadjuvant chemotherapy in cT1-2N+ breast cancer patients: a single center experience and review of current literature

2022 ◽  
Author(s):  
Meng Luo ◽  
Huihui Chen ◽  
Hao Deng ◽  
Yao Jin ◽  
Gui Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Cox Regression ◽  
Medical Center ◽  
Clinical Stage ◽  
Disease Free Survival ◽  
Her2 Overexpression ◽  
Breast Cancer Patients ◽  
Significant Difference

Abstract PurposePostmastectomy radiotherapy (PMRT) after NAC in breast cancer patients with initial clinical stage cT1−2N+, especially for those who achieved ypT1−2N0, is still controversial. This study was to evaluate the survival prognosis of cT1−2N+ patients after NAC with or without PMRT, and to discuss the selection of patients who may omit PMRT.Patients and MethodsFrom January 2005 to December 2017, 3055 female breast cancer patients underwent mastectomy in our medical center, among whom 215 patients of cT1−2N+ stage, receiving neoadjuvant chemotherapy (NAC) with or without PMRT were finally analyzed. The median follow-up duration was 72.6 months. The primary endpoint was overall survival, and the secondary endpoint was disease-free survival. Comparison was conducted between PMRT and non-PMRT subgroups.ResultsOf the 215 eligible patients, 35.8% (77/215) cT1−2N+ patients achieved ypT0−2N0 after NAC while 64.2% (138/215) of the patients remained nodal positive (ypT0−2N+). The 5-year DFS of ypT0−2N0 non-PMRT was 79.5% (95% confidence interval [CI] 63.4-95.6%). No statistically significant difference was observed between the ypT0−2N0 PMRT and non-PMRT subgroups for the 5-year DFS (78.5% vs 79.5%, p = 0.673) and OS (88.8% vs 90.8%, p = 0.721). The 5-years DFS didn’t obviously differ between the ypT0−2N0 non-PMRT subgroup and cT1−2N0 subgroup (79.5% vs 93.3%, p = 0.070). By using Cox regression model in multivariate analyses of prognosis in ypT0−2N+ PMRT subgroup, HER2 overexpression and triple-negative breast cancer were significantly poor predictors of DFS and OS, while ypN stage was significant independent predictors of OS.ConclusionAn excellent response to NAC (ypT0−2N0) indicates a sufficiently favorable prognosis, and PMRT might be omitted for cT1−2N+ breast cancer patients with ypT0−2N0 after NAC.

Poor prognostic factors of post-CNS recurrence survival in breast cancer patients.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 2097-2097
Author(s):  
Carlos Castaneda Altamirano ◽  
Henry Leonidas Gomez ◽  
Joseph A. Pinto ◽  
Luis Jesus Schwarz ◽  
C. E. Vigil ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Brain Metastases ◽  
Cancer Patients ◽  
Cox Regression ◽  
Histological Grade ◽  
Performance Status ◽  
Prognostic Scores ◽  
Breast Cancer Patients ◽  
Class Iii ◽  
Ecog Performance Status

2097 Background: Survival after the onset of metastases in the central nervous system is very short. However, some variables could indicate subsets of worse prognosis. Our aim was to determine the value of clinicopathological characteristics and prognostic scores in the post-SNC recurrence survival. Methods: We evaluated a retrospective cohort of 2597 breast cancer patients treated at the Instituto Nacional de Enfermedades Neoplasicas (Lima-Peru) between 2000-2005. Clinicopathological data was retrieved, RPA and GPA brain metastases prognostic scores were constructed and phenotypes were categorized according to the IHC expression in [HR+,HER2-], [Any HR, HER2+] and Triple Negative. Survival was calculated according to the Kaplan Meier methodology and cases were stratified by variables evaluated. The log-rank or Breslow tests were used when appropriate and multivariate analysis was done by the cox regression. A P<0.05 was considered statistically significant. Results: One hundred and fifty seven cases developed CNS metastasis, from which 23 developed leptomeningeal metastases. The post recurrence CNS survival was 0.405 years. There were not differences according to phenotype (P=0.102), histological grade (P=0.647), number of brain metastases (P=0.695) and metastases volume (P=0.155). We found statistic differences in regard to leptomeningeal carcinomatosis (present, 0.249ys vs absent 0.436ys; P=0.033); CSF infiltration (present, 0.115ys vs absent, 1.044ys; P=0.022); status of primary tumor (controlled, 0.501ys vs uncontrolled, 0.263ys; P<0.001); ECOG performance status (<2, 0.504ys vs ≥2, 0.288ys; P=0.030); and time from BC diagnosis to SNC metastases (<8 moths, 0.115 vs ≥8 months, 0.425ys; P=0.023). Cox regression identifies to CSF infiltration as statistically significant (HR=9.77; P=0.025). In regard to Prognostic scores, we found differences when cases were stratified according to RPA score (Class I, 0.564ys vs Class II, 0.455ys vs Class III, 0.288ys; P=0.049) and GPA score (0-1, 0.26ys vs 1.5-3, 0.455ys vs 3.5-5, 0,564; 0.048). Conclusions: RPA and GPA scores are more accurate to identify poor survival subsets in this group of patients than other tumor features (phenotype or histology).

scholarly journals Relationship between red cell distribution width and prognosis in patients with breast cancer after operation: a retrospective cohort study

2019 ◽  
Vol 39 (7) ◽  
Author(s):  
Deshun Yao ◽  
Zhiwu Wang ◽  
Haifeng Cai ◽  
Ying Li ◽  
Baosheng Li
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Tumor Size ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Cell Distribution ◽  
Breast Cancer Patients ◽  
Large Tumor ◽  
Distribution Width ◽  
Cox Regression Analysis

Abstract We retrospectively enrolled 825 breast cancer patients, who was primarily diagnosed in our hospital between January 2009 and December 2014 and explored the relationship between red blood cell distribution width (RDW) and long-term prognosis in patients with breast cancer. There were 412 patients with high RDW (RDW > 13.82) and 413 patients with low RDW (RDW ≤ 13.82). Compared with low RDW group, the high w group has large tumor size (the rate of tumor size >2 cm: 60.7 vs 44.8%, P=0.013). The rate of lymph node metastases was higher in the high RDW group thaten that in the low RDW group (62.1 vs 45.8%, P=0.000). RDW was positively associated with tumor stage. The high RDW tended to be advanced stage (P=0.000). Compared with low RDW group, the high RDW group tended to be higher lymphocyte count (P=0.004), elevated fibrinogen (P=0.043), and elevated high-sensitivity C-reactive protein (P=0.000). The Kaplan–Meier analysis indicated elevated RDW was positively associated with disease-free survival (DFS) (P=0.004) and overall survival (OS) (P=0.011). The multivariate Cox regression analysis indicated that the high RDW group had poorer OS (Hazard risk [HR] = 2.43; 95% CI: 1.62–3.21; P=0.024) and DFS (HR = 1.89; 95% CI: 1.28–3.62; P=0.000) compared with low RDW group. The present study found that high pretreatment RDW levels in breast cancer patients were associated with poor OS and DFS. RDW could be a potential predictive factor in differential diagnosis of poor prognosis from all patients.

Prognostic value of the genomic grade index (GGi) as compared to centrally measured Ki-67 IHC and mitotic index in early breast cancer patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 11094-11094
Author(s):  
F. Bertucci ◽  
J. M. Le Doussal ◽  
D. Birnbaum ◽  
R. Tagett ◽  
A. Martinec ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Mitotic Index ◽  
Prognostic Value ◽  
Cox Regression ◽  
Histological Grade ◽  
Breast Cancer Patients ◽  
Ki 67 ◽  
Genomic Grade Index ◽  
Grade Index

11094 Background: Genomic grading has been proposed to improve tumor grading. The genomic grade index (GGi) is a 97-gene continuous measure which resolves 80% of histological grade 2 (HG 2) tumors into HG 1 and HG 3 risk categories. GGi has higher prognostic value than HG in patients treated with and without systemic adjuvant endocrine and chemotherapy. A key issue is whether the GGi adds prognostic information to centrally-determined mitotic index and Ki-67 IHC. Methods: The control arm of the PACS 01 trial included 996 women with node-positive (N+) early breast cancer treated with six cycles of fluorouracil, epirubicin, and cyclophosphamide (FEC) and tamoxifen as required. 128 genomic profiles could be obtained from available frozen tumor samples using Affymetrix U133 Plus 2.0 gene chips through the “Carte d'Identite des Tumeurs” program of the French Ligue Nationale contre le Cancer. The Genomic Grade index (GGi) was computed using Ipsogen MapQuant Dx(R). Central Elston-Ellis grade, mitotic index (mitosis / mm2), and Ki-67 IHC (% positive cells) were available for 125 patients. The GGi and histological parameters were correlated to the 5-year metastasis status (MFS-5) by ROC analysis and to the metastasis hazard (follow-up of 6.2 ± years) by Cox regression. Results: In ER+ patients (n=93), the GGi was the only significant correlate to metastasis hazard in multivariate Cox regression with histological parameters (HR = 3.5 [1.7–7.5], p<0.001). It was the best predictor of MFS-5 (ROC AUC = 0.83, p=1E-6) when compared to histological parameters (ROC AUC = 0.71, 0.72 and 0.66 resp. p=0.003 to 0.03). In HG 2 subgroup (n=43), the GGi was the only significant predictor of MFS-5 (ROC AUC = 0.81, p=0.016). Conclusions: In our sample of N+ ER+ breast cancer patients, the GGi improved prognostication compared to centrally-measured mitotic index and Ki-67 IHC used alone and in combination. Moreover, the GGi was the only prognostic factor in histological grade 2 patients. [Table: see text]

The Low Expression of MEOX2 is Associated With Poorer Survival in Breast Cancer

2021 ◽  
Author(s):  
Huxia Wang ◽  
Yanan Tang ◽  
Meixia Wang ◽  
Caixia Ding ◽  
Xiaomin Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Cox Regression ◽  
Histological Grade ◽  
The Cancer Genome Atlas ◽  
Breast Cancer Patients ◽  
Normal Tissues ◽  
Cancer Genome Atlas ◽  
And Function

Abstract The regulation of vertebrate limb myogenesis gene, Mesenchyme Homeobox 2 (MEOX2), has been reported to be associated with most cancer progression closely. However, its role and function in breast cancer are unidentified. Here, we aim to investigate the association of MEOX2 expression with clinicopathological features and the survival probability of breast cancer. The MEOX2 expression in breast cancer was first analyzed from The Cancer Genome Atlas (TCGA) database. Then, the association of MEOX2 with patients’ clinicopathological variables and prognostic probability were detected by bioinformatics analysis. Moreover, a high-throughput tissue microarray containing 135 cases of breast cancer was used to further clarify the expression of MEOX2 in breast cancer patients. The expression of MEOX2 is inhibited in breast cancer than in normal tissues, and the lower MEOX2 expression indicates the poorer prognosis of breast cancer patients. In addition, the histological grade of MEOX2 expression is negatively correlated with the Ki67 level. Multivariate COX regression also verified that MEOX2 was an independent prognostic factor in breast cancer patients. Based on our results, we can conclude that lower MEOX2 expression was related to tumor proliferation and could be a new diagnostic and prognostic biomarker of breast cancer.

scholarly journals High expression of NR1D1 is associated with good prognosis in triple-negative breast cancer patients treated with chemotherapy

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Hyelin Na ◽  
Jinil Han ◽  
Na-Lee Ka ◽  
Min-Ho Lee ◽  
Yoon-La Choi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Nuclear Receptor ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Molecular Subtype ◽  
Histological Grade ◽  
Disease Free Survival ◽  
Rank Test ◽  
Breast Cancer Patients

Abstract Background Nuclear receptor subfamily 1, group D, member 1 (NR1D1) is a ligand-regulated nuclear receptor and transcriptional factor. Although recent studies have implicated NR1D1 as a regulator of DNA repair and proliferation in breast cancers, its potential as a therapeutic target for breast cancer has not been assessed in terms of clinical outcomes. Thus, this study aims to analyze NR1D1 expression in breast cancer patients and to evaluate its potential prognostic value. Methods NR1D1 expression was analyzed by immunohistochemistry using an anti-NR1D1 antibody in 694 breast cancer samples. Survival analyses were performed using the Kaplan–Meier method with the log-rank test to investigate the association of NR1D1 expression with clinical outcome. Results One hundred thirty-nine of these samples exhibited high NR1D1 expression, mostly in the nucleus of breast cancer cells. NR1D1 expression correlated significantly with histological grade and estrogen receptor status. Overall survival (OS) and disease-free survival (DFS) did not correlate significantly with NR1D1 expression in breast cancer patients regardless of whether they had received chemotherapy. Subgroup analysis performed according to molecular subtype of breast cancer showed a significant influence of high NR1D1 expression on OS (P = 0.002) and DFS (P = 0.007) in patients with triple-negative breast cancer (TNBC) treated with chemotherapy. Conclusions High NR1D1 expression level had a favorable impact on OS and DFS in patients with TNBC treated with chemotherapy. NR1D1 should be investigated further as a possible prognostic marker in TNBC patients receiving chemotherapeutic treatment and as a target in the development of chemotherapeutic approaches to treating TNBC.

scholarly journals The Prognostic Significance of Anisomycin-Activated Phospho-c-Jun NH2-Terminal Kinase (p-JNK) in Predicting Breast Cancer Patients’ Survival Time

2021 ◽  
Vol 9 ◽  
Author(s):  
Li Chen ◽  
Xuantong Zhou ◽  
Xiangyi Kong ◽  
Zhaohui Su ◽  
Xiangyu Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Cox Proportional Hazards ◽  
Breast Cancer Cell Lines ◽  
Rank Test ◽  
Significant Prognostic Factor ◽  
Breast Cancer Patients

This study aims to investigate the prognostic significance of p-JNK in breast cancer patients receiving neoadjuvant chemotherapy (NACT) and analyze the relationship between anisomycin, p-JNK. A total of 104 breast cancer patients had NACT were enrolled in this study. The western blot and immunohistochemistry assays were used to determine the protein expressions of p-JNK in human breast cancer cell lines and patients’ cancer tissues. The chi-square test and Fisher’s exact test were adopted to gauge the associations between breast cancer and clinicopathological variables by p-JNK expression, whereas the univariate and multivariate Cox proportional hazards regression models were used to analyze the prognostic value of p-JNK expression. The Kaplan-Meier plots and the log-rank test were adopted to determine patients’ disease-free survival (DFS) and overall survival (OS). Findings indicated that the p-JNK expression had prognostic significance in univariate and multivariate Cox regression survival analyses. Results of log-rank methods showed that: (1) the mean DFS and OS times in patients with high p-JNK expression were significantly longer than those in patients with low p-JNK expression (χ2 = 5.908, P = 0.015 and χ2 = 6.593, P = 0.010, respectively). p-JNK expression is a significant prognostic factor that can effectively predict the survival in breast cancer patients receiving NACT. Treatment with the JNK agonist anisomycin can induce apoptosis, lead to increased p-JNK expression and decreased p-STAT3 expression. Moreover, the p-JNK expression was inversely correlated with p-STAT3 expression.

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