Mammaglobin,GATA-binding protein 3 (GATA3), and epithelial growth factor receptor (EGFR) expression in different breast cancer subtypes and their clinical significance

Increasing evidence has shown that mammaglobin, GATA-binding protein 3 (GATA3), and epithelial growth factor receptor (EGFR) have unique clinical implications for breast cancer subtyping and classification, as well as for breast cancer targeted therapy. It is particularly important to clarify the correlation between their expression and different molecular breast carcinoma subtypes to better understand the molecular basis of the subtypes and to identify effective therapeutic targets for the disease. This study aimed to evaluate mammaglobin, GATA3, and EGFR expression in different breast cancer subtypes, as well as their clinical significance. Subjects of the study included 228 patients with breast cancer at The First Affiliated Hospital of University of Science and Technology of China. They were divided into triple negative (TN), Luminal A, Luminal B, and HER-2 positive (HER-2.P) breast cancer groups based on molecular classification. Immunohistochemical methods were used to detect mammaglobin, GATA3, and EGFR expression in cases of different molecular subtypes before determining the correlation between protein expression and subtype. Mammaglobin and GATA3 expression levels were found to significantly vary with respect to histopathological grade, lymph node status, and molecular subtype; EGFR expression was significantly correlated with breast cancer histopathological grade and molecular subtype. For breast cancer, the expression levels of mammaglobin and GATA3, as well as mammaglobin and EGFR, were significantly correlated. In addition, there was a significantly negative correlation between the expression levels of GATA3 and EGFR in breast cancer tissue samples, especially in HER-2.P samples. These findings provide a theoretical basis for assessing breast cancer clinical prognosis based on the cancer subtype, and hence, have significant practical value.Key words: breast cancer, mammaglobin, GATA-binding protein 3, epithelial growth factor receptor, molecular subtype     

SHCBP1:乳腺癌治疗候选靶点和潜在预后标志物

探讨SHCBP1在乳腺癌及其不同亚型中的表达特征和预后价值。利用Oncomine, bc-GenExMiner v4.2, Kaplan-Meier plotter, GSE41994及STRING数据库分析乳腺癌病人SHCBP1的mRNA表达水平及其与乳腺癌患者生存率的相关性等。结果:(1)乳腺癌组织中SHCBP1的mRNA水平明显高于正常组织样本,但不同分子亚型的乳腺癌患者中SHCBP1的表达水平不同;(2)SHCBP1表达升高可导致Luminal A亚型更短的无转移生存期(Distant metastasis-free survival,DMFS)和无病生存期(Disease-free survival, DFS);(3)在雌激素受体阳性(ER+)、孕酮受体阳性(PR+)亚型、仅接受辅助化疗、仅接受辅助化疗的ER(+)与接受包括或排除内分泌治疗乳腺癌患者中,SHCBP1表达升高则无复发生存率(Relapse-free survival,RFS)显著缩短;(4)SHCBP1和CDC45 mRNA表达水平之间呈正相关,并可能与KIF23等10种蛋白相互作用。结论:SHCBP1是一种很有前景的乳腺癌预后指标和潜在的治疗靶点。     

Inference of patient‐specific subpathway activities reveals a functional signature associated with the prognosis of patients with breast cancer

Breast cancer is one of the most deadly forms of cancer in women worldwide. Better prediction of breast cancer prognosis is essential for more personalized treatment. In this study, we aimed to infer patient‐specific subpathway activities to reveal a functional signature associated with the prognosis of patients with breast cancer. We integrated pathway structure with gene expression data to construct patient‐specific subpathway activity profiles using a greedy search algorithm. A four‐subpathway prognostic signature was developed in the training set using a random forest supervised classification algorithm and a prognostic score model with the activity profiles. According to the signature, patients were classified into high‐risk and low‐risk groups with significantly different overall survival in the training set (median survival of 65 vs 106 months, P = 1.82e‐13) and test set (median survival of 75 vs 101 months, P = 4.17e‐5). Our signature was then applied to five independent breast cancer data sets and showed similar prognostic values, confirming the accuracy and robustness of the subpathway signature. Stratified analysis suggested that the four‐subpathway signature had prognostic value within subtypes of breast cancer. Our results suggest that the four‐subpathway signature may be a useful biomarker for breast cancer prognosis.     

不同分子分型乳腺癌患者血清IGFBP-3、Angptl-2表达水平及其与骨转移、预后的相关性

摘要 目的：分析不同分子分型乳腺癌患者血清胰岛素样生长因子结合蛋白3（IGFBP-3）、生成素养蛋白2（Angptl-2）表达水平及其与骨转移、预后的相关性。方法：选取2018年3月-2021年3月东南大学附属中大医院收治的128例乳腺癌骨转移患者进行研究,其中包括Luminal A型50例、42例Luminal B型（HER-2阴性）42例、HER-2过表达型16例、三阴性乳腺癌（TNBC）20例,并分析4种分子分型乳腺癌的临床病理特征,同时采用酶联免疫吸附法检测其血清IGFBP-3、Angptl-2表达水平;随访24个月后记录两组患者的预后情况,并采用多因素Logistic模型分析影响4种分子分型乳腺癌骨转移患者预后的独立危险因素,以及血清IGFBP-3、Angptl-2与不同分子分型乳腺癌骨转移患者预后的相关性。结果：Luminal A型、Luminal B型、HER-2过表达型、TNBC型TNM分期、淋巴结转移比较,差异有统计学意义（P＜0.05）。与Luminal A型、Luminal B型、TNBC型乳腺癌骨转移患者相比,HER-2过表达型乳腺癌骨转移患者的血清IGFBP-3表达水平较低,Angptl-2表达水平较高（P＜0.05）。Luminal A型、Luminal B型、HER-2过表达型、TNBC型乳腺癌骨转移患者的死亡率分别为13.46%、38.46%、23.08%、25.00%。多因素Logistic结果显示,TNM分期、淋巴结转移、血清IGFBP-3、Angptl-2均是影响不同分子分型乳腺癌骨转移患者预后的独立危险因素（P＜0.05）。血清IGFBP-3异常高表达提示4种分子分型乳腺癌骨转移患者的不良预后,而Angptl-2表达水平与4种分子分型乳腺癌的预后呈正相关性（P＜0.05）。针对不同分子分型乳腺癌骨转移患者的预后预测中,血清IGFBP-3、Angptl-2、IGFBP-3+Angptl-2均呈现AUC＞0.75。结论：血清IGFBP-3、Angptl-2可作为HER-2过表达乳腺癌骨转移患者的潜在生物标志物;同时还可根据血清IGFBP-3、Angptl-2表达水平预测不同分子分型乳腺癌骨转移患者的预后。     

Association between breast cancer subtypes and response to neoadjuvant anastrozole

Considerable heterogeneity exists amongst oestrogen receptor positive (ER+ve) breast cancer in both its molecular profile and response to therapy. Attempts to better define variation amongst breast tumours have led to the definition of four main “intrinsic” subtypes of breast cancer with two of these classes, Luminal A and B, composed almost entirely of ER+ve cancers. In this study we set out to investigate the significance of intrinsic subtypes within a group of ER+ve breast cancers treated with neoadjuvant anastrozole. RNA from tumour biopsies taken from 104 postmenopausal women before and after 2 weeks treatment with anastrozole was analyzed on Illumina 48K microarrays. Gene-expression based subtypes and risk of relapse (ROR) scores for tumours pre- and post-treatment were determined using the PAM50 method. Amongst pre-treatment samples, all intrinsic subtypes were found to be present, although luminal groups were represented most highly. Luminal A and B tumours obtained similar benefit from treatment, as measured by the proportional fall in the proliferation marker Ki67 upon treatment (mean suppression = 75.5% vs 75.7%). Tumours classified as basal and Her2-like showed poor reductions in Ki67 upon treatment. Residual Ki67 staining after two weeks remained higher in the Luminal B group. ROR score was significantly associated with anti-proliferative response to AI and with clinical response. These results suggest that in the short-term, Luminal A and B tumours may gain similar benefit from an AI but that the higher residual Ki67 level seen in Luminal B is indicative of poorer long term outcome.     

A comprehensive analysis of IDO1 expression with tumour‐infiltrating immune cells and mutation burden in gynaecologic and breast cancers

Gynaecologic and breast cancers share some similarities at the molecular level. The aims of our study are to highlight the similarities and differences about IDO1, an important immune‐related gene in female cancers. The NGS data from TCGA of cervical squamous cell carcinoma (CESC), ovarian serous cystadenocarcinoma (OV), uterine corpus endometrial carcinoma (UCEC), uterine carcinosarcoma (UCS) and breast invasive carcinoma (BRCA) were analysed to identify molecular features, and clinically significant and potential therapeutic targets of IDO1. We found IDO1 was significantly up‐regulated in four gynaecologic cancers and breast cancer. According to breast cancer PAM50 classification scheme, IDO1 expression was higher in tumours of basal than other subtypes and showed better survival prognosis in BRCA and OV. Through immune infiltration analysis, we found a strong correlation between IDO1 and immune cell populations especially for dendritic cells and T cells. In addition, we investigated the association between IDO1 and tumour mutation burden (TMB) and found that IDO1 was significantly correlated with TMB in BRCA and CESC. GSVA revealed that hallmarks significantly correlated with IDO1 were involved in interferon gamma response, allograft rejection and inflammatory response. We also found PD‐L1 and LAG3 were highly positive related to IDO1 in gynaecologic cancers when comparing with their corresponding normal tissues. Our results indicated that IDO1 participated in anti‐tumour immune process and is correlated with mutation burden. These findings may expand our outlook of potential anti‐IDO1 treatments.     

Diagnostic and prognostic value of miR-200 family in breast cancer: A meta-analysis and systematic review

BackgroundBreast cancer (BC) is the most common cancer for women all over the world. Great interests have been paid to discover accurate and noninvasive methods for breast cancer diagnosis and prognosis. Although the diagnostic and prognostic value of microRNA-200 (miRNA- 200, miR-200) family has been revealed in many studies, the results were inconsistent. Thus, this meta-analysis aims to assess the overall value of miRNA-200 family in breast cancer diagnosis and prognosis.MethodRelevant studies were searched from the following databases: PubMed, PMC, EMBASE, and ScienceDirect using key words: ("miRNA-200 family" or "miR-141" or "miR-200a" or "miR-200b" or "miR-200c" or "miR-429") and (“HER2” or “Luminal A” or “Luminal B” or “TNBC”) and ("breast cancers" or "breast carcinoma" or "breast malignancy" or "breast tumor"). The sensitivity, specificity, AUC were then calculated to estimate the diagnostic accuracy of the miR-200 family. As for the prognostic value of the miR-200 family, the pooled hazard ratio (HR) was assessed. Heterogeneity among individual studies was also examined by subgroup analyses.ResultA total of 24 articles were included in the meta-analysis. The diagnostic value of miR-200s in BC was presented by the pooled sensitivity was 0.86 (95% CI: 0.83-0.88); the pooled specificity was 0.82 (95% CI: 0.72-0.89); the pooled AUC was 0.931 (95% CI: 0.919-0.942). Besides, expression of miR-200s in metastatic breast cancer has sensitivity, specificity and AUC of 0.70 (95%CI: 0.56-0.81), 0.72 (95%CI: 0.61-0.81), and 0.814 (95%CI: 0.741-0.903), respectively. The meta-analysis then revealed that high expression of miR-200 family corresponded to poor OS (HR: 1.63, 95% CI: 1.03-2.52), poor DFS (HR: 1.55, 95% CI: 0.95-2.56) in BC patients while downregulation of miRNA-200s corresponded to poor OS (HR= 0.84, 95%CI: 0.46-1.63) in TNBC patients and poor OS (HR=0.49; 95%CI: 0.27-0.88) in luminal BC patient.ConclusionThe MiR-200 family has high diagnostic accuracy and can be used as an important biomarker to prognosticate breast cancer.     

Rare BRCA1 haplotypes including 3′UTR SNPs associated with breast cancer risk

Genetic markers identifying women at an increased risk of developing breast cancer exist, yet the majority of inherited risk remains elusive. While numerous BRCA1 coding sequence mutations are associated with breast cancer risk, BRCA1 mutations account for less then 5% of breast cancer risk. Since 3′ untranslated region (3′UTR) polymorphisms disrupting microRNA (miRNA) binding can be functional and can act as genetic markers of cancer risk, we tested the hypothesis that such polymorphisms in the 3′UTR of BRCA1 and haplotypes containing these functional polymorphisms may be associated with breast cancer risk. We sequenced the BRCA1 3′UTR from breast cancer patients to identify miRNA disrupting polymorphisms. We further evaluated haplotypes of this region including the identified 3′UTR variants in a large population of controls and breast cancer patients (n = 221) with known breast cancer subtypes and ethnicities. We identified three 3′UTR variants in BRCA1 that are polymorphic in breast cancer populations, and haplotype analysis including these variants revealed that breast cancer patients harbor five rare haplotypes not generally found among controls (9.50% for breast cancer chromosomes, 0.11% for control chromosomes, p = 0.0001). Three of these rare haplotypes contain the rs8176318 BRCA1 3′UTR functional variant. These haplotypes are not biomarkers for BRCA1 coding mutations, as they are found rarely in BRCA1 mutant breast cancer patients (1/129 patients = 0.78%). These rare BRCA1 haplotypes and 3′UTR SNPs may represent new genetic markers of breast cancer risk.Key words: BRCA1, haplotype, microRNA, SNP, 3′UTR, breast cancer, triple negative breast cancer     

Rare BRCA1 haplotypes including 3’UTR SNPs associated with breast cancer risk

Genetic markers identifying women at an increased risk of developing breast cancer exist, yet the majority of inherited risk remains elusive. While numerous BRCA1 coding sequence mutations are associated with breast cancer risk, BRCA1 mutations account for less then 5% of breast cancer risk. Since 3' untranslated region (3'UTR) polymorphisms disrupting microRNA (miRNA) binding can be functional and can act as genetic markers of cancer risk, we tested the hypothesis that such polymorphisms in the 3'UTR of BRCA1 and haplotypes containing these functional polymorphisms may be associated with breast cancer risk. We sequenced the BRCA1 3'UTR from breast cancer patients to identify miRNA disrupting polymorphisms. We further evaluated haplotypes of this region including the identified 3'UTR variants in a large population of controls and breast cancer patients (n=221) with known breast cancer subtypes and ethnicities. We identified three 3'UTR variants in BRCA1 that are polymorphic in breast cancer populations, and haplotype analysis including these variants revealed that breast cancer patients harbor five rare haplotypes not generally found among controls (9.50% for breast cancer chromosomes, 0.11% for control chromosomes, p=0.0001). Three of these rare haplotypes contain the rs8176318 BRCA1 3'UTR functional variant. These haplotypes are not biomarkers for BRCA1 coding mutations, as they are found rarely in BRCA1 mutant breast cancer patients (1/129 patients= 0.78%). These rare BRCA1 haplotypes and 3'UTR SNPs may represent new genetic markers of breast cancer risk.     

Proteomics of mouse BRCA1-deficient mammary tumors identifies DNA repair proteins with potential diagnostic and prognostic value in human breast cancer

Breast cancer 1, early onset (BRCA1) hereditary breast cancer, a type of cancer with defects in the homology-directed DNA repair pathway, would benefit from the identification of proteins for diagnosis, which might also be of potential use as screening, prognostic, or predictive markers. Sporadic breast cancers with defects in the BRCA1 pathway might also be diagnosed. We employed proteomics based on one-dimensional gel electrophoresis in combination with nano-LC-MS/MS and spectral counting to compare the protein profiles of mammary tumor tissues of genetic mouse models either deficient or proficient in BRCA1. We identified a total of 3,545 proteins, of which 801 were significantly differentially regulated between the BRCA1-deficient and -proficient breast tumors. Pathway and protein complex analysis identified DNA repair and related functions as the major processes associated with the up-regulated proteins in the BRCA1-deficient tumors. In addition, by selecting highly connected nodes, we identified a BRCA1 deficiency signature of 45 proteins that enriches for homology-directed DNA repair deficiency in human gene expression breast cancer data sets. This signature also exhibits prognostic power across multiple data sets, with optimal performance in a data set enriched in tumors deficient in homology-directed DNA repair. In conclusion, by comparing mouse proteomes from BRCA1-proficient and -deficient mammary tumors, we were able to identify several markers associated with BRCA1 deficiency and a prognostic signature for human breast cancer deficient in homology-directed DNA repair.     

不同临床病理特征的乳腺非特殊型浸润性癌分子亚型分析

目的:探讨不同临床病理特征的乳腺非特殊型浸润性癌的分子亚型分布特点。方法:回顾性分析309例乳腺非特殊型浸润性癌患者的临床资料,根据患者年龄、绝经情况、组织学分级和淋巴结转移情况分组,每组再根据免疫组化雌激素受体(ER)、孕激素受体(PR)、人类表皮生长因子受体2(HER-2)结果分为4种不同的分子亚型,分析各组中不同分子亚型的分布特点。结果:309例乳腺非特殊型浸润性癌中Lumina A型为137例(44.3%),Lumina B型为64例(20.7%),HER-2/neu型为63例(20.4%),basal cell-like型为45例(14.6%)。不同年龄段、绝经与否、不同组织学分级和淋巴结转移情况患者的分子亚型差异均具有统计学意义(P0.05)。结论:非特殊型浸润性癌的分子亚型以Luminal A型为主,其中异型性高,转移广泛的basal cell-like型的年龄分布呈现年轻化趋势。     

High Bak Expression Is Associated with a Favorable Prognosis in Breast Cancer and Sensitizes Breast Cancer Cells to Paclitaxel

Breast cancer has become the leading cause of cancer-related death among women. A large number of patients become resistant to drug chemotherapy. Paclitaxel (Taxol) is an effective chemotherapeutic agent used to treat cancer patients. Taxol has been widely used in human malignancies including breast cancer because it can stabilize microtubules resulting in cell death by causing an arrest during the G2/M phase of the cell cycle. Pro-apoptotic Bcl-2 antagonist killer 1 (Bak) plays an important role in Taxol-induced apoptosis in breast cancer. In our present study, we investigated the expression of the Bak protein and clinicopathological correlations in a large sample of breast cancer tissues by immunohistochemistry. We found that the percentage of high scores of Bak expression in breast cancer was significantly lower than that of the non-cancerous breast control tissue. In addition, lower Bak expression was positively associated with the clinical TNM stage of breast cancer with a significant decrease in overall survival compared with those with higher Bak expression especially in the Luminal and HER2 subtypes. Importantly, higher Bak expression predicted a favorable clinical outcome in the cases treated with Taxol indicated by a higher overall survival than that of patients with lower Bak expression especially in Luminal and HER2 subtypes. Furthermore, these results were confirmed in vitro since overexpression of Bak sensitized breast cancer cells to Taxol by inhibiting proliferation and promoting apoptosis; in contrast, downregulation of Bak through siRNA transfection inhibited Taxol induced-apoptosis. Therefore, our results demonstrate that Bak acts as a sensitive biomarker and favorable prognostic factor for Taxol treatment in breast cancer. The restoration of Bak expression would be therapeutically beneficial for Taxol resistant breast cancer patients.     

BTN3A2 serves as a prognostic marker and favors immune infiltration in triple-negative breast cancer

Immune infiltration is reported to be highly associated with tumor progress. Since butyrophilin subfamily 3 member A2 (BTN3A2) serves as a crucial mediator in immune activation, we aimed to investigate the correlation of BTN3A2 in immune infiltration and tumor prognosis via extensive-cancer analysis. The levels of BTN3A2 expression in extensive cancers were analyzed with Oncomine and TIMER databases. Univariate cox and multivariate cox regression analyses were conducted to assess the associations of BTN3A2 to prognosis of various cancers. The correlations of BTN3A2 with immune infiltration were assessed by TIMER database. It suggested that BTN3A2 was a potential prognosis signature for breast cancer (BRCA) and ovarian cancer (OV). However, immune infiltrations were highly correlated with BTN3A2 in triple-negative breast cancer (TNBC), compared with OV and other subtypes of BRCA. Multivariate cox regression analysis revealed that BTN3A2 was an independently prognostic signature of TNBC, as well as weighted correlation network analysis suggested BTN3A2 was only correlated with TNBC, rather than other subtypes of BRCA. Immune cell subtypes correlation analysis showed that BTN3A2 was highly correlated with general T, CD8+ T, T helper type 1, exhausted T cells, and dendritic cells in TNBC. And the coexpression geneset of BTN3A2 was mainly involved in T-cell receptor interaction and the nuclear factor-κB (NF-κB) signaling pathway. Collectively, BTN3A2 that was positively associated with better prognosis could be served as a special diagnostic and independently prognostic marker for TNBC by regulating the T-cell receptor interaction and NF-κB signaling pathways.     

Role of PET/CT in diagnosis and treatment of breast cancer -- review of present knowledge and perspectives for future research

Positron emission tomography (PET) has revolutionized the diagnostic opportunities of malignances, however, it has still a controversial role at some conditions in the management of breast cancer. The article compares PET alone and PET/CT. We review the latest trends of using PET or PET/CT for diagnosis, staging, evaluation of the primary tumor and regional lymph node status, as well as early detection of recurrence and distant lesions. PET/CT provides new methods of assessment of early chemo/endocrine therapy response of locally advanced breast cancer. We discuss the development of new radiotracers and their value in predicting treatment response, identifying tumor subtypes and finding new therapeutic targets by them.     

Molecular subtypes of ductal carcinoma in situ in African American and Caucasian American Women: Distribution and correlation with pathological features and outcome

Background: Molecular subtypes of breast cancer have been extensively studied in invasive carcinoma. They were shown to have a different distribution within the various ethnic populations. Few studies have applied the same classification to Ductal Carcinoma in Situ (DCIS). We report the distribution of the molecular breast cancer subtypes in DCIS between African American (AA) and Caucasian American (CA) women, their association with pathological features and outcome. Materials and methods: Tissue microarrays were constructed from paraffin blocks of 94 DCIS cases (67 AA and 27 CA) selected from a cohort of AA and CA patients diagnosed with DCIS between 1996 and 2000; mean age at diagnosis was 61 ± 12 for the AA and 58 ± 11 years for the CA group. TMA blocks were labeled with antibodies for ER, PR, HER2, Ki-67, and CK5/6. The cases were subtyped as Luminal A (ER+ and/or PR+; HER2?), Luminal B (ER+ and/or PR+; HER2+), HER2+ (ER?, PR?; HER2+), basal-like (BL) (ER?, PR?, HER2?; CK5/6+) or unclassified triple negative (UTN) (ER?, PR?, HER2?, CK5/6?). Information on grade, size and follow-up were obtained. Results: (1) Most DCIS cases were Luminal A, comprising 80% of the DCIS cases in AA and 92.6% in CA patients. (2) HER2+, BL and UTN DCIS subtypes were not seen in the CA population, and formed 9% of the DCIS cases in the AA population; these cases were all high grade. (3) In the cases with recurrence (8 AA and 1 CA patients), DCIS was Luminal A in 6 AA and 1 CA and Luminal B in 2 AA patients. Conclusion: The distribution of the molecular subtypes of DCIS did not show a significant difference between the two ethnic groups in our study. In addition, the risk of recurrence might not be higher in the non-luminal subtypes than in Luminal A and B.     

Coupling proteomics and transcriptomics in the quest of subtype‐specific proteins in breast cancer

Breast‐cancer subtypes present with distinct clinical characteristics. Therefore, characterization of subtype‐specific proteins may augment the development of targeted therapies and prognostic biomarkers. To address this issue, MS‐based secretome analysis of eight breast cancer cell lines, corresponding to the three main breast cancer subtypes was performed. More than 5200 non‐redundant proteins were identified with 23, four, and four proteins identified uniquely in basal, HER2‐neu‐amplified, and luminal breast cancer cells, respectively. An in silico mRNA analysis using publicly available breast cancer tissue microarray data was carried out as a preliminary verification step. In particular, the expression profiles of 15 out of 28 proteins included in the microarray (from a total of 31 in our subtype‐specific signature) showed significant correlation with estrogen receptor (ER) expression. A MS‐based analysis of breast cancer tissues was undertaken to verify the results at the proteome level. Eighteen out of 31 proteins were quantified in the proteomes of ER‐positive and ER‐negative breast cancer tissues. Survival analysis using microarray data was performed to examine the prognostic potential of these selected candidates. Three proteins correlated with ER status at both mRNA and protein levels: ABAT, PDZK1, and PTX3, with the former showing significant prognostic potential.     

Distinguishing Low-Risk Luminal A Breast Cancer Subtypes with Ki-67 and p53 Is More Predictive of Long-Term Survival

Overexpression of p53 is the most frequent genetic alteration in breast cancer. Recently, many studies have shown that the expression of mutant p53 differs for each subtype of breast cancer and is associated with different prognoses. In this study, we aimed to determine the suitable cut-off value to predict the clinical outcome of p53 overexpression and its usefulness as a prognostic factor in each subtype of breast cancer, especially in luminal A breast cancer. Approval was granted by the Institutional Review Board of Samsung Medical Center. We analyzed a total of 7,739 patients who were surgically treated for invasive breast cancer at Samsung Medical Center between Dec 1995 and Apr 2013. Luminal A subtype was defined as ER&PR + and HER2- and was further subclassified according to Ki-67 and p53 expression as follows: luminal A (Ki-67-,p53-), luminal A (Ki-67+, p53-), luminal A (Ki-67 -, p53+) and luminal A (Ki-67+, p53+). Low-risk luminal A subtype was defined as negative for both Ki-67 and p53 (luminal A [ki-67-, p53-]), and others subtypes were considered to be high-risk luminal A breast cancer. A cut-off value of 10% for p53 was a good predictor of clinical outcome in all patients and luminal A breast cancer patients. The prognostic role of p53 overexpression for OS and DFS was only significant in luminal A subtype. The combination of p53 and Ki-67 has been shown to have the best predictive power as calculated by the area under curve (AUC), especially for long-term overall survival. In this study, we have shown that overexpression of p53 and Ki-67 could be used to discriminate low-risk luminal A subtype in breast cancer. Therefore, using the combination of p53 and Ki-67 expression in discriminating low-risk luminal A breast cancer may improve the prognostic power and provide the greatest clinical utility.