A nine-lncRNA signature predicts distant relapse-free survival of HER2-negative breast cancer patients receiving taxane and anthracycline-based neoadjuvant chemotherapy

2020 ◽  
pp. 114285
Author(s):  
Min Sun ◽  
Xiaoxiao Liu ◽  
Lingyun Xia ◽  
Yuying Chen ◽  
Li Kuang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Distant Relapse

scholarly journals The target E2F family gene PTTG1 for prediction of distant relapse-free survival in breast cancer patients receiving taxane and anthracycline-based NACT

2021 ◽  
Author(s):  
Yuhao Xu ◽  
Yaoqiang Du ◽  
Qinghui Zheng ◽  
Hongchao Tang ◽  
Yangyang Qian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Target Genes ◽  
Cox Regression ◽  
Gene Expression Omnibus ◽  
Breast Cancer Patients ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Distant Relapse ◽  
Potential Biomarker

Abstract Background Recent years, the breast cancer became the most commonly diagnosed cancer. The use of neoadjuvant chemotherapy (NACT) makes a significant contribution to chemotherapy in breast cancer. We aimed to develop the novel model as a predictor of distant relapse-free survival (DRFS) in breast cancer patients receiving taxane and anthracycline-based NACT. Methods We collected the mRNA expression datasets of patients from GSE25055 and GSE25065 in Gene Expression Omnibus (GEO). Univariate and Multivariate Cox Regression Analyses were conducted to achieve the prognostic genes that associated with DRFS. Moreover, the E2F targets genes were obtained from GSEA. We obtained the intersection genes between the prognostic genes and E2F target genes, then validated in GSE32603 dataset. And we established a nomogram model based on PTTG1 expression level and several clinical characteristics. Results A novel nomogram was conducted. The receiver operating characteristic (AUC = 0.849), C-index (0.805) and calibration plots were applied to assess the effect of this model. Conclusion Our study found that the E2F target genes, such as the PTTG1 may serve as a potential biomarker in breast cancer, and provided superior estimation of DRFS, which can guide the clinical practice in NACT of breast cancer.

scholarly journals The Target E2F Family Gene PTTG1 for Prediction of Distant Relapse-Free Survival in Breast Cancer Patients Receiving Taxane and Anthracycline-Based NACT

2021 ◽  
Author(s):  
Yu-hao Xu ◽  
Yao-qiang Du ◽  
Qing-hui Zheng ◽  
Qiu-ran Xu ◽  
Xuli Meng
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Target Genes ◽  
Cox Regression ◽  
Gene Expression Omnibus ◽  
Breast Cancer Patients ◽  
Relapse Free Survival ◽  
Free Survival ◽  
Distant Relapse ◽  
Potential Biomarker

Abstract Background: The breast cancer is the most commonly diagnosed cancer in recent years. The use of neoadjuvant chemotherapy (NACT) makes a significant contribution to chemotherapy in breast cancer. We aimed to develop the novel model as a predictor of distant relapse-free survival (DRFS) in breast cancer patients receiving taxane and anthracycline-based NACT.Methods: We collected the mRNA expression datasets of patients from GSE25055 and GSE25065 in Gene Expression Omnibus (GEO). Univariate and Multivariate Cox Regression Analyses were conducted to achieve the prognostic genes that associated with DRFS. Moreover, the E2F target genes were obtained from GSEA. We obtained the intersection genes between the prognostic genes and E2F target genes, then validated in GSE32603 dataset. And we established a nomogram model based on PTTG1 expression level and several clinical characteristics.Results: There were 95 genes confirmed to be associated with DRFS both in GSE25055 and GSE25065. And PTTG1 was validated as a gene related to DRFS and associated with E2F target hallmark using GSEA analysis and chosen as our target gene. The AUC of PTTG1 model was 0.682 indicating a relatively poor prediction performance. Then a novel nomogram was conducted, the receiver operating characteristic (AUC=0.849), C-index (0.805) and calibration plots were applied to assess the effect of this model.Conclusion: Our study found that the E2F target genes, such as the PTTG1 may serve as a potential biomarker in breast cancer, and provided superior estimation of DRFS, which can guide the clinical practice in NACT of breast cancer.

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.

scholarly journals CDK9 Expression Shows Role as a Potential Prognostic Biomarker in Breast Cancer Patients Who Fail to Achieve Pathologic Complete Response after Neoadjuvant Chemotherapy

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ashley J. Schlafstein ◽  
Allison E. Withers ◽  
Soumon Rudra ◽  
Diana Danelia ◽  
Jeffrey M. Switchenko ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Prognostic Biomarker ◽  
Pathologic Complete Response ◽  
Complete Response ◽  
Recurrence Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Risk Of Death

Failure to achieve pathologic complete response is associated with poor prognosis in breast cancer patients following neoadjuvant chemotherapy (NACT). However, prognostic biomarkers for clinical outcome are unclear in this patient population. Cyclin-dependent kinase 9 (CDK9) is often dysregulated in breast cancer, and its deficiency results in genomic instability. We reviewed the records of 84 breast cancer patients from Emory University’s Winship Cancer Institute who had undergone surgical resection after NACT and had tissue available for tissue microarray analysis (TMA). Data recorded included disease presentation, treatment, pathologic response, overall survival (OS), locoregional recurrence free survival (LRRFS), distant-failure free survival (DFFS), recurrence-free survival (RFS), and event-free survival (EFS). Immunohistochemistry was performed on patient samples to determine CDK9 expression levels after NACT. Protein expression was linked with clinical data to determine significance. In a Cox proportional hazards model, using a time-dependent covariate to evaluate the risk of death between groups beyond 3 years, high CDK9 expression was significantly associated with an increase in OS (HR: 0.26, 95% CI: 0.07-0.98, p=0.046). However, Kaplan-Meier curves for OS, LRRFS, DFFS, RFS, and EFS did not reach statistical significance. The results of this study indicate that CDK9 may have a potential role as a prognostic biomarker in patients with breast cancer following NACT. However, further validation studies with increased sample sizes are needed to help elucidate the prognostic role for CDK9 in the management of these patients.

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