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Su D, Zhang T, Huang H, Su X, Li Y, Wei X, Zhang Y. Selection of breast cancer subtypes to improve benefits of intensive dose‑dense chemotherapy: A systematic meta‑analysis. Oncol Lett 2024; 27:4. [PMID: 38028182 PMCID: PMC10665989 DOI: 10.3892/ol.2023.14136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 08/15/2023] [Indexed: 12/01/2023] Open
Abstract
Breast cancer (BC) is the most commonly diagnosed cancer and the second leading cause of cancer mortality among women worldwide. A large number of patients experience recurrence and BC-associated mortality following adjuvant chemotherapy. The present study aimed to determine the most suitable pathological subtype of BC to benefit from intensive dose-dense (DD) chemotherapy. A total of four electronic databases were searched from inception up to March 10, 2023. Randomized controlled trials (RCTs) and retrospective studies comparing DD chemotherapy with standard chemotherapy in patients with BC were included. Pairwise random effects and network meta-analyses were performed to summarize efficacy and safety outcomes. A total of 27 original studies including 27,580 patients with BC were included. In terms of efficacy, the present study evaluated overall survival, disease-free survival, event-free survival, recurrence-free survival, pathological complete response and objective remission rate. Significant differences were identified in overall, hormone receptor+ (HR+) and HR- subgroups. Furthermore, from the network analysis, the HR+ and Her2- subgroups had the highest ranking, and these findings suggested that HR+/Her2- patients with BC should adhere to a treatment strategy including intensive DD chemotherapy, which is also characterized by an acceptable safety profile. In conclusion, patients with HR+ and Her2- BC were revealed to be the most suitable pathological type and are most likely to benefit from intense DD chemotherapy. The present study was registered with PROSPERO, CRD2022420351567.
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Affiliation(s)
- Dan Su
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Tianqi Zhang
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Huimin Huang
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Xiaoyu Su
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Ying Li
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Xiuyan Wei
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
| | - Yingshi Zhang
- Department of Clinical Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, P.R. China
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2
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Huang J, Zhang JL, Ang L, Li MC, Zhao M, Wang Y, Wu Q. Proposing a novel molecular subtyping scheme for predicting distant recurrence-free survival in breast cancer post-neoadjuvant chemotherapy with close correlation to metabolism and senescence. Front Endocrinol (Lausanne) 2023; 14:1265520. [PMID: 37900131 PMCID: PMC10602753 DOI: 10.3389/fendo.2023.1265520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 09/12/2023] [Indexed: 10/31/2023] Open
Abstract
Background High relapse rates remain a clinical challenge in the management of breast cancer (BC), with distant recurrence being a major driver of patient deterioration. To optimize the surveillance regimen for distant recurrence after neoadjuvant chemotherapy (NAC), we conducted a comprehensive analysis using bioinformatics and machine learning approaches. Materials and methods Microarray data were retrieved from the GEO database, and differential expression analysis was performed with the R package 'Limma'. We used the Metascape tool for enrichment analyses, and 'WGCNA' was utilized to establish co-expression networks, selecting the soft threshold power with the 'pickSoftThreshold' algorithm. We integrated ten machine learning algorithms and 101 algorithm combinations to identify key genes associated with distant recurrence in BC. Unsupervised clustering was performed with the R package 'ConsensusCluster Plus'. To further screen the key gene signature of residual cancer burden (RCB), multiple knockdown studies were analyzed with the Genetic Perturbation Similarity Analysis (GPSA) database. Single-cell RNA sequencing (scRNA-seq) analysis was conducted through the Tumour Immune Single-cell Hub (TISCH) database, and the XSum algorithm was used to screen candidate small molecule drugs based on the Connectivity Map (CMAP) database. Molecular docking processes were conducted using Schrodinger software. GMT files containing gene sets associated with metabolism and senescence were obtained from GSEA MutSigDB database. The GSVA score for each gene set across diverse samples was computed using the ssGSEA function implemented in the GSVA package. Results Our analysis, which combined Limma, WGCNA, and machine learning approaches, identified 16 RCB-relevant gene signatures influencing distant recurrence-free survival (DRFS) in BC patients following NAC. We then screened GATA3 as the key gene signature of high RCB index using GPSA analysis. A novel molecular subtyping scheme was developed to divide patients into two clusters (C1 and C2) with different distant recurrence risks. This molecular subtyping scheme was found to be closely associated with tumor metabolism and cellular senescence. Patients in cluster C2 had a poorer DRFS than those in cluster C1 (HR: 4.04; 95% CI: 2.60-6.29; log-rank test p < 0.0001). High GATA3 expression, high levels of resting mast cell infiltration, and a high proportion of estrogen receptor (ER)-positive patients contributed to better DRFS in cluster C1. We established a nomogram based on the N stage, RCB class, and molecular subtyping. The ROC curve for 5-year DRFS showed excellent predictive value (AUC=0.91, 95% CI: 0.95-0.86), with a C-index of 0.85 (95% CI: 0.81-0.90). Entinostat was identified as a potential small molecule compound to reverse high RCB after NAC. We also provided a comprehensive review of the EDCs exposures that potentially impact the effectiveness of NAC among BC patients. Conclusion This study established a molecular classification scheme associated with tumor metabolism and cancer cell senescence to predict RCB and DRFS in BC patients after NAC. Furthermore, GATA3 was identified and validated as a key gene associated with BC recurrence.
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Affiliation(s)
- Jin Huang
- Department of Pathology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Pathology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Jian-Lin Zhang
- Department of Emergency Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Lin Ang
- Department of Pathology, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Ming-Cong Li
- Department of Pathology, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Min Zhao
- Department of Pathology, The Second People’s Hospital of Hefei, Hefei Hospital Affiliated to Anhui Medical University, Hefei, Anhui, China
| | - Yao Wang
- Digestive Endoscopy Department, Jiangsu Provincial People’s Hospital, The First Afliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qiang Wu
- Department of Pathology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Department of Pathology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
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3
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Zhu T, Xiao Z, Yuan H, Tian H, Chen T, Chen Q, Chen M, Yang J, Zhou Q, Guo W, Xue K, Xia M, Bao J, Yang C, Duan H, Wang H, Huang Z, Liu C, Zhou J. ACO1 and IREB2 downregulation confer poor prognosis and correlate with autophagy-related ferroptosis and immune infiltration in KIRC. Front Oncol 2022; 12:929838. [PMID: 36059676 PMCID: PMC9428356 DOI: 10.3389/fonc.2022.929838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background ACO1 and IREB2 are two homologous cytosolic regulatory proteins, which sense iron levels and change iron metabolism–linked molecules. These two genes were noticeably decreased in kidney renal clear cell carcinoma (KIRC), which confer poor survival. Meanwhile, there is a paucity of information about the mechanisms and clinical significance of ACO1 and IREB2 downregulation in renal cancers. Methods The expression profiles of ACO1 and IREB2 were assessed using multiple public data sets via several bioinformatics platforms. Clinical and pathological information was utilized to stratify cohorts for comparison. Patient survival outcomes were evaluated using the Kaplan–Meier plotter, a meta-analysis tool. The correlations of ACO1 and IREB2 with ferroptosis were further evaluated in The Cancer Genome Atlas (TCGA)–KIRC database. Tumor immune infiltration was analyzed using the CIBERSORT, TIMER, and GEPIA data resources. ACO1 antagonist sodium oxalomalate (OMA) and IREB2 inhibitor sodium nitroprusside (SNP) was used to treat renal cancer ACHN cells together with sorafenib. Results KIRC patients with low ACO1 or IREB2 contents exhibited a remarkably worse survival rate in contrast with those with high expression in Kaplan–Meier survival analyses. Meanwhile, ACO1 and IREB2 regulate autophagy-linked ferroptosis along with immune cell invasion in the tumor microenvironment in KIRC patients. Blocking the activation of these two genes by their inhibitors OMA and SNP ameliorated sorafenib-triggered cell death, supporting that ACO1 and IREB2 could be participated in its cytotoxic influence on renal cancer cells. Conclusion ACO1 and IREB2 downregulation in renal cancers were correlated with cancer aggressiveness, cellular iron homeostasis, cytotoxic immune cell infiltration, and patient survival outcomes. Our research is integral to verify the possible significance of ACO1 and IREB2 contents as a powerful signature for targeted treatment or novel immunotherapy in clinical settings.
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Affiliation(s)
- Ting Zhu
- Department of Laboratory Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Zhuoyu Xiao
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Haoyu Yuan
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Hu Tian
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Taoyi Chen
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Qi Chen
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Mingkun Chen
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Jiankun Yang
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Qizhao Zhou
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Wenbin Guo
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Kangyi Xue
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Ming Xia
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Jiming Bao
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Cheng Yang
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Haifeng Duan
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Hongyi Wang
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Zhipeng Huang
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Cundong Liu
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
- *Correspondence: Junhao Zhou, ; Cundong Liu,
| | - Junhao Zhou
- Department of Urology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
- *Correspondence: Junhao Zhou, ; Cundong Liu,
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Tian C, Wang Y, Song X. Prognostic Characteristics of Immune-Related Genes and the Related Regulatory Axis in Patients With Stage N+M0 Breast Cancer. Front Oncol 2022; 12:878219. [PMID: 35785160 PMCID: PMC9243266 DOI: 10.3389/fonc.2022.878219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
Breast cancer (BRCA) has the highest incidence rate among female tumours. The function of the immune system affects treatment efficacy and prognosis in patients with BRCA. However, the exact role of immune-related genes (IRGs) in stage N+M0 BRCA is unknown. We constructed a predictive risk scoring model with five IRGs (CDH1, FGFR3, INHBA, S100B, and SCG2) based on the clinical, mutation, and RNA sequencing data of individuals with stage N+M0 BRCA sourced from The Cancer Genome Atlas. Results from the Shandong Cancer Hospital and Institute validation cohort suggested that regardless of clinical stage, tumour size, or the number of lymph node metastases, this model was able to reliably discriminate low-risk patients from high-risk ones and assess the prognosis of patients with stage N+M0 BRCA, and low-risk patients could benefit more from immunotherapy than high-risk patients. In addition, significant inter-group variations in immunocyte infiltration and the tumour microenvironment were observed. Moreover, risk score and age were found to be independent factors in multivariate COX regression analysis, which influenced the outcome of patients with stage N+M0 BRCA. Based on the above findings, we plotted a prognostic nomogram. Finally, we constructed a lncRNA KCNQ1OT1-LINC00665-TUG1/miR-9-5p/CDH1 regulatory axis of the ceRNA network to explore the mechanism of BRCA progression. In summary, we conducted a systemic and extensive bioinformatics investigation and established an IRG-based prognostic scoring model. Finally, we constructed a ceRNA regulatory axis that might play a significant role in BRCA development. More research is required to confirm this result. Scoring system-based patient grouping can help predict the outcome of patients with stage N+M0 BRCA more effectively and determine their sensitivity to immunotherapies, which will aid the development of personalised therapeutic strategies and inspire the research and development of novel medications.
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Affiliation(s)
- Chonglin Tian
- Department of Burn and Plastic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Burn and Plastic Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yongsheng Wang
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Yongsheng Wang, ; Xianrang Song,
| | - Xianrang Song
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Yongsheng Wang, ; Xianrang Song,
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López C, Bosch R, Korzynska A, García-Rojo M, Bueno G, García-Fontgivell JF, Martínez González S, Gras Navarro A, Sauras Colón E, Casanova Ribes J, Roszkowiak L, Mata D, Arenas M, Gómez J, Roso A, Berenguer M, Reverté-Villarroya S, Llobera M, Baucells J, Lejeune M. CD68 and CD83 immune populations in non-metastatic axillary lymph nodes are of prognostic value for the survival and relapse of breast cancer patients. Breast Cancer 2022; 29:618-635. [PMID: 35137329 DOI: 10.1007/s12282-022-01336-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 01/30/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The foremost cause of death of breast cancer (BC) patients is metastasis, and the first site to which BC predominantly metastasizes is the axillary lymph node (ALN). Thus, ALN status is a key prognostic indicator at diagnosis. The immune system has an essential role in cancer progression and dissemination, so its evaluation in ALNs could have significant applications. In the present study we aimed to investigate the association of clinical-pathological and immune variables in the primary tumour and non-metastatic ALNs (ALNs-) of a cohort of luminal A and triple-negative BC (TNBC) patients with cancer-specific survival (CSS) and time to progression (TTP). METHODS We analysed the differences in the variables between patients with different outcomes, created univariate and multivariate Cox regression models, validated them by bootstrapping and multiple imputation of missing data techniques, and used Kaplan-Meier survival curves for a 10-years follow-up. RESULTS We found some clinical-pathological variables at diagnosis (tumour diameter, TNBC molecular profile and presence of ALN metastasis), and the levels of several immune markers in the two studied sites, to be associated with worse CSS and TTP. Nevertheless, only CD68 and CD83 in ALNs- were confirmed as independent prognostic factors for TTP. CONCLUSIONS The study identified the importance of macrophage and dendritic cell markers as prognostic factors of relapse for BC. We highlight the importance of studying the immune response in ALNs-, which could be relevant to the prediction of BC patients' outcome.
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Affiliation(s)
- Carlos López
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain. .,Universitat Rovira i Virgili (URV) - Campus Terres de l'Ebre, Avinguda Remolins no 13-15, 43500, Tortosa, Spain.
| | - Ramón Bosch
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Anna Korzynska
- Laboratory of Processing and Analysis of Microscopic Images, Polish Academy of Sciences (IBIB PAN), Nalęcz Institute of Biocybernetics and Biomedical Engineering, Ks. Trojdena 4 St., 02-109, Warsaw, Poland
| | - Marcial García-Rojo
- Department of Pathology, Hospital Universitario Puerta del Mar, Avda. Ana de Viya, 21, 11009, Cádiz, Spain
| | - Gloria Bueno
- VISILAB, Universidad de Castilla-La Mancha, Av. Camilo José Cela, s/n, 13071, Ciudad Real, Spain
| | | | - Salomé Martínez González
- Department of Pathology, Hospital Universitari Joan XXIII, C/Dr. Mallafrè Guasch, 4, 43005, Tarragona, Spain
| | - Andrea Gras Navarro
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain.,Universitat Rovira i Virgili (URV) - Campus Terres de l'Ebre, Avinguda Remolins no 13-15, 43500, Tortosa, Spain
| | - Esther Sauras Colón
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain.
| | - Júlia Casanova Ribes
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Lukasz Roszkowiak
- Laboratory of Processing and Analysis of Microscopic Images, Polish Academy of Sciences (IBIB PAN), Nalęcz Institute of Biocybernetics and Biomedical Engineering, Ks. Trojdena 4 St., 02-109, Warsaw, Poland
| | - Daniel Mata
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Meritxell Arenas
- Institut d'Investigació Sanitària Pere Virgili, Radiation Oncology Department, Universitat Rovira i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Junior Gómez
- Institut d'Investigació Sanitària Pere Virgili, Radiation Oncology Department, Universitat Rovira i Virgili, Hospital Universitari Sant Joan de Reus, Reus, Spain
| | - Albert Roso
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Gran Via Corts Catalanes, 587, 08007, Barcelona, Spain
| | - Marta Berenguer
- Knowledge Management Department, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Silvia Reverté-Villarroya
- Universitat Rovira i Virgili (URV) - Campus Terres de l'Ebre, Avinguda Remolins no 13-15, 43500, Tortosa, Spain.,Knowledge Management Department, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Montserrat Llobera
- Department of Oncology, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Jordi Baucells
- Informatics Department, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain
| | - Marylène Lejeune
- Department of Pathology, Oncological Pathology and Bioinformatics Research Group, Hospital de Tortosa Verge de la Cinta, ICS, IISPV, C/Esplanetes no 14, 43500, Tortosa, Spain.,Universitat Rovira i Virgili (URV) - Campus Terres de l'Ebre, Avinguda Remolins no 13-15, 43500, Tortosa, Spain
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Liao Y, Qiu Z, Bai L. miR‑302d‑3p regulates the viability, migration and apoptosis of breast cancer cells through regulating the TMBIM6‑mediated ERK signaling pathway. Mol Med Rep 2021; 24:853. [PMID: 34651659 PMCID: PMC8548939 DOI: 10.3892/mmr.2021.12493] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 02/05/2021] [Indexed: 12/03/2022] Open
Abstract
MicroRNAs (miRs/miRNAs) play important roles in the occurrence, metastasis and prognosis of multiple types of cancers. However, the specific role of miR-302d-3p and its underlying mechanism in breast cancer (BC) have not yet been reported. The present study aimed to identify the role of miR-302D-3p in BC and its potential mechanism using BC cell lines MCF7 and MDA-MB-231 and normal breast epithelial cell MCF-10A. Cancer and paracancerous tissue from patients with BC were also used. Reverse transcription-quantitative PCR was performed to detect the expression of miR-302d-3p and transmembrane Bax inhibitor motif containing 6 (TMBIM6). Dual-luciferase reporter assays verified the binding sites of miR-302d-3p and TMBIM6. Immunohistochemistry was used to measure the expression of TMBIM6. Cell transfection techniques were used to overexpress or interfere with miR-302d-3p and TMBIM6. A Cell Counting Kit-8 assay was performed to detect cell viability, and migration was measured using a wound healing assay. Apoptosis was detected by flow cytometry. The expression levels of apoptosis-related proteins and pathway-related proteins were detected by western blotting. The expression of miR-302d-3p in BC cell lines was found to be downregulated. It was also demonstrated that miR-302d-3p could inhibit cell viability and migration and promote apoptosis. The expression of TMBIM6 in BC cell lines and tissues was upregulated. Upregulated miR-302d-3p was shown to inhibit viability and migration, and promote apoptosis by targeting TMBIM6, during which extracellular signal-regulated kinase (ERK) and its phosphorylation were inhibited in the ERK signaling pathway in cells. Overall, the present study demonstrated that miR-302d-3p could regulate the viability, migration and apoptosis of BC cells through regulating TMBIM6-mediated ERK signaling pathway.
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Affiliation(s)
- Yanru Liao
- Department of Thyroid and Breast Surgery, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong 518102, P.R. China
| | - Zhenxiong Qiu
- Department of General Surgery, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong 518102, P.R. China
| | - Ling Bai
- Department of Pathology and Central Laboratory, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong 518102, P.R. China
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7
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Wang X, Li C, Chen T, Li W, Zhang H, Zhang D, Liu Y, Han D, Li Y, Li Z, Luo D, Zhang N, Yang Q. Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients. Front Oncol 2021; 11:660242. [PMID: 34513664 PMCID: PMC8428534 DOI: 10.3389/fonc.2021.660242] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 08/02/2021] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Recent years, the global prevalence of breast cancer (BC) was still high and the underlying molecular mechanisms remained largely unknown. The investigation of prognosis-related biomarkers had become an urgent demand. RESULTS In this study, gene expression profiles and clinical information of breast cancer patients were downloaded from the TCGA database. The differentially expressed genes (DEGs) were estimated by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A risk score formula involving five novel prognostic associated biomarkers (EDN2, CLEC3B, SV2C, WT1, and MUC2) were then constructed by LASSO. The prognostic value of the risk model was further confirmed in the TCGA entire cohort and an independent external validation cohort. To explore the biological functions of the selected genes, in vitro assays were performed, indicating that these novel biomarkers could markedly influence breast cancer progression. CONCLUSIONS We established a predictive five-gene signature, which could be helpful for a personalized management in breast cancer patients.
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Affiliation(s)
- Xiaolong Wang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Chen Li
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Tong Chen
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Wenhao Li
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Hanwen Zhang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Dong Zhang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Ying Liu
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Dianwen Han
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Yaming Li
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Zheng Li
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Dan Luo
- Department of Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, China
| | - Ning Zhang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
| | - Qifeng Yang
- Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, China
- Department of Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, China
- Research Institute of Breast Cancer, Shandong University, Jinan, China
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8
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Oparina N, Erlandsson MC, Fäldt Beding A, Parris T, Helou K, Karlsson P, Einbeigi Z, Bokarewa MI. Prognostic Significance of BIRC5/Survivin in Breast Cancer: Results from Three Independent Cohorts. Cancers (Basel) 2021; 13:cancers13092209. [PMID: 34064473 PMCID: PMC8125570 DOI: 10.3390/cancers13092209] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 04/28/2021] [Accepted: 05/01/2021] [Indexed: 12/13/2022] Open
Abstract
Simple Summary Survivin, coded by the BIRC5 gene, is the cell death preventing protein, which is important for cell division in normal and cancer cells. It is intensively studied as a cancer biomarker and target for antitumor therapy. In this study we asked if we could get clinically helpful information on how active BIRC5 is in breast cancer patients? We studied the BIRC5 protein level in tumor samples for breast cancer patients from a West Swedish cohort and its mRNA level in two different public gene expression databases. Survival analysis demonstrated that a higher BIRC5 protein or mRNA level was associated with poor survival in all cohorts and for different cancer subtypes. We show that BIRC5 is a promising independent cancer survival marker. Abstract Breast cancer (BC) histological and molecular classifications significantly improved the treatment strategy and prognosis. Inhibitor of apoptosis BIRC5/survivin is often overexpressed in cancers, however, indications of its importance in BC are inconsistent. We integrate BIRC5 protein and mRNA measures with clinical associates and long-term outcome in three independent cohorts Protein levels of BIRC5 were measured in primary lysates of 845 patients of the West Swedish BC cohort (VGR-BC) and linked to 5- and 27-years survival. The results were externally validated in transcriptomic data from METABRIC and SCAN-B cohorts. Survival analysis showed that high levels of BIRC5 were consistently associated with a poor probability of 5-year overall survival. High BIRC5 in VGR-BC contributed negatively to the disease-specific survival at 5 and 27 years. Subsets with different status by ER (estrogen receptor) expression and presence of nodal metastasis supported independent association of high BIRC5 with poor prognosis in all cohorts. In METABRIC and SCAN-B cohorts, high levels of BIRC5 mRNA were associated with the basal-like and luminal B molecular BC subtypes and with increasing histologic grade. BIRC5 is a sensitive survival marker that acts independent of ER and nodal status, and its levels need to be considered when making treatment decisions.
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Affiliation(s)
- Nina Oparina
- Department of Rheumatology and Inflammation Research, Institute of Medicine, University of Gothenburg; 40530 Gothenburg, Sweden; (M.C.E.); (M.I.B.)
- Correspondence:
| | - Malin C. Erlandsson
- Department of Rheumatology and Inflammation Research, Institute of Medicine, University of Gothenburg; 40530 Gothenburg, Sweden; (M.C.E.); (M.I.B.)
- Rheumatology Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Anna Fäldt Beding
- Department of Medicine and Oncology, Southern Älvsborg Hospital, 50182 Borås, Sweden; (A.F.B.); (Z.E.)
| | - Toshima Parris
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
| | - Khalil Helou
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
- The King Gustav Vth Jubilee Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Per Karlsson
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
- The King Gustav Vth Jubilee Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
| | - Zakaria Einbeigi
- Department of Medicine and Oncology, Southern Älvsborg Hospital, 50182 Borås, Sweden; (A.F.B.); (Z.E.)
- Department of Oncology, Institute of Clinical Science at Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden; (T.P.); (K.H.); (P.K.)
| | - Maria I. Bokarewa
- Department of Rheumatology and Inflammation Research, Institute of Medicine, University of Gothenburg; 40530 Gothenburg, Sweden; (M.C.E.); (M.I.B.)
- Rheumatology Clinic, Sahlgrenska University Hospital, 41345 Gothenburg, Sweden
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Tian Z, Tang J, Liao X, Yang Q, Wu Y, Wu G. An immune-related prognostic signature for predicting breast cancer recurrence. Cancer Med 2020; 9:7672-7685. [PMID: 32841536 PMCID: PMC7571818 DOI: 10.1002/cam4.3408] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 06/25/2020] [Accepted: 08/06/2020] [Indexed: 02/06/2023] Open
Abstract
Breast cancer (BC) is the most common cancer among women worldwide and is the second leading cause of cancer‐related deaths in women. Increasing evidence has validated the vital role of the immune system in BC development and recurrence. In this study, we identified an immune‐related prognostic signature of BRCA that could help delineate risk scores of poor outcome for each patient. This prognostic signature comprised information on five danger genes—TSLP, BIRC5, S100B, MDK, and S100P—and three protect genes RARRES3, BLNK, and ACO1. Kaplan‐Meier survival curve showed that patients classified as low‐risk according to optimum cut‐off risk score had better prognosis than those identified within the high‐risk group. ROC analysis indicated that the identified prognostic signature had excellent diagnostic efficiency for predicting 3‐ and 5‐years relapse‐free survival (RFS). Multivariate Cox regression analysis proved that the prognostic signature is independent of other clinical parameters. Stratification analysis demonstrated that the prognostic signature can be used to predict the RFS of BC patients within the same clinical subgroup. We also developed a nomogram to predict the RFS of patients. The calibration plots exhibited outstanding performance. The validation sets (GSE21653, GSE20711, and GSE88770) were used to external validation. More convincingly, the real time RT‐PCR results of clinical samples demonstrated that danger genes were significantly upregulated in BC samples, whereas protect genes were downregulated. In conclusion, we developed and validated an immune‐related prognostic signature, which exhibited excellent diagnostic efficiency in predicting the recurrence of BC, and will help to make personalized treatment decisions for patients at different risk score.
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Affiliation(s)
- Zelin Tian
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jianing Tang
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xing Liao
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Qian Yang
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yumin Wu
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Gaosong Wu
- Department of Thyroid and Breast Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
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