Mingming Lv

LncRNAs as new biomarkers to differentiate triple negative breast cancer from non-triple negative breast cancer.

Triple negative breast cancer (TNBC) is an aggressive type of breast cancer with high heterogeneity. To date, there is no efficient therapy for TNBC patients and the prognosis is poor. It is urgent to find new biomarkers for the diagnosis of TNBC or efficient therapy targets. As an area of focus in the post-genome period, long non-coding RNAs (lncRNAs) have been found to play critical roles in many cancers, including TNBC. However, there is little information on differentially expressed lncRNAs between TNBC and non-TNBC. We detected the expression levels of lncRNAs in TNBC and non-TNBC tissues separately. Then we analyzed the lncRNA expression signature of TNBC relative to non-TNBC, and found dysregulated lncRNAs participated in important biological processes though Gene Ontology and Pathway analysis. Finally, we validated these lncRNA expression levels in breast cancer tissues and cells, and then confirmed that 4 lncRNAs (RP11-434D9.1, LINC00052, BC016831, and IGKV) were correlated with TNBC occurrence through receiver operating characteristic curve analysis. This study offers helpful information to understand the initiation and development mechanisms of TNBC comprehensively and suggests potential biomarkers for diagnosis or therapy targets for clinical treatment.

Microarray expression profile analysis of long non-coding RNAs in human breast cancer: A study of Chinese women

Breast cancer (BC) is the most commonly diagnosed cancer and the second leading cause of cancer death among women. Long non-coding RNAs (lncRNAs) are key regulators of gene expression. Numerous lncRNAs have performed critical roles in cancer biology including breast cancer (BC). The expression levels of certain lncRNAs are associated with tumor development, recurrence, metastasis, and prognosis. However, the potential roles that lncRNAs regulate breast cancer tumorigenesis and tumor progression are still poorly understood. To investigate the potential roles of lncRNAs in the breast cancer, we constructed BC related lncRNA libraries by using microarray. Microarray expression profiling suggests 790 up-regulated and 637 down-regulated (log fold-change>2.3) lncRNAs were differently expressed between BC tissues and its paired adjacent tissues. Furthermore, we found differently expressed lncRNAs associated with immune regulation. RP4-583P15.10, an up-regulated lncRNA, was found to be located downstream of the natural antisense of the ZBTB46 gene, which may regulated breast cancer through influence immune system. In conclusion, our results for the first time indicate that distinct lncRNAs expression profiles of BC, which related to the immune network, may provide information for further research on immune regulation during the BC process.

LncRNAs expression profiling in normal ovary, benign ovarian cyst and malignant epithelial ovarian cancer

Long noncoding RNA (lncRNA) has been recognized as a regulator of gene expression, and the dysregulation of lncRNAs is involved in the progression of many types of cancer, including epithelial ovarian cancer (EOC). To explore the potential roles of lncRNAs in EOC, we performed lncRNA and mRNA microarray profiling in malignant EOC, benign ovarian cyst and healthy control tissues. In this study, 663 transcripts of lncRNAs were found to be differentially expressed in malignant EOC compared with benign and normal control tissues. We also selected 18 altered lncRNAs to confirm the validity of the microarray analysis using quantitative real-time PCR (qPCR). Pathway and Gene Ontology (GO) analyses demonstrated that these altered transcripts were involved in multiple biological processes, especially the cell cycle. Furthermore, Series Test of Cluster (STC) and lncRNA-mRNA co-expression network analyses were conducted to predict lncRNA expression trends and the potential target genes of lncRNAs. We also determined that two antisense lncRNAs (RP11-597D13.9 and ADAMTS9-AS1) were associated with their nearby coding genes (FAM198B, ADAMTS9), which participated in cancer progression. This study offers helpful information to understand the initiation and development mechanisms of EOC.

Long noncoding RNAs (lncRNAs) in triple negative breast cancer

Long noncoding RNAs (lncRNAs) are dysregulated in many cancer types, which are believed to play crucial roles in regulating several hallmarks of cancer biology. Triple Negative Breast Cancer (TNBC) is a very aggressive subtype of normal breast cancer, which has features of negativity for ER, PR, and HER2. Great efforts have been made to identify an association between lncRNAs expression profiles and TNBC, and to understand the functional role and molecular mechanism on aberrant‐expressed lncRNAs. In this review, we summarized the existed knowledge on the systematics, biology, and function of lncRNAs. The advances from the most recent studies of lncRNAs in the predicament of breast cancer, TNBC, are highlighted, especially the functions of specifically selected lncRNAs. We also discussed the potential value of these lncRNAs in TNBC, providing clues for the diagnosis and treatments of TNBC.

Distinct expression profile of lncRNA in endometrial carcinoma.

Endometrial carcinoma (EC) is the most common malignancy in women. Dispite its prevalence, the prognosis of endometrial carcinoma still relies on conventional histological type, grade and invasion information. Its morbidity is still increasing and the outcome is very poor. To the best of our knowledge, hormonal imbalance and/or molecular genetic alterations are the main cause of EC. However, the alterations of lncRNAs which accounts for approximately 4/5 of human transcripts are still poorly understood. In the present study, using the RiboArray™ Custom Array, we studied the expression profiles of lncRNA in EC as compared to normal endometrium (NE) to find potential core lncRNAs for the diagnosis of EC. We found the potential core lncRNA by GO, KEGG, lncRNA and mRNA co-expression network. The potential functional lncRNAs were further detected by qPCR to validate the microarray results. A total of 172 lncRNAs and 188 mRNAs were found to be differentially expressed between type Ⅰ EC and the NE samples (fold change >1.5). qPCR validation showed good consistency with the microarray data. GO, pathway analysis, the lncRNA and mRNA co-expression network as well as the TCGA data revealed that 6 lncRNAs (KIAA0087, RP11-501O2, FAM212B-AS1, LOC102723552, RP11-140I24 and RP11-600K151) may be the core regulators of endometrial carcinogenesis. The potential core lncRNAs revealed by the mRNA and lncRNA co-expression network might be helpful to explore potential early diagnostic and therapeutic targets for EC.

Identification and characterization of microRNAs expressed in human breast cancer chemo-resistant MCF-7/Adr cells by Solexa deep-sequencing technology

BACKGROUND/AIM Breast cancer is the most common type of tumor in female and chemoresistance has been a major clinical obstacle to the treatment in clinical patients. miRNA was one of the factors demonstrated to play certain roles in chemoesistance in breast cancer. In this study, we exploited Solexa deep sequencing technology to identify differentially expressed miRNA from samples in vitro, trying to find novel relationship between miRNA and chemoresistance in breast cancer. METHODS The human breast cancer MCF-7 cell line was pulse-selected with doxorubicin (10 pulses, once a week for 4h, with 1μM doxorubicin) to generate MCF-7/Adr cells. Total RNA was extracted from the treated and untreated MCF-7 cells and subsequently subjected to real time PCR. Two small RNA libraries of MCF7NON and MCF7ADR were established to record the Solexa sequencing results of the PCR products above. All the sequencing results were verified by Stem-loop real-time PCR. GO annotation and KEGG analysis program were exploited to enrich the differentially expressed miRNAs. RESULTS The results showed that 214,822 and 378,597 reads were mapped in the MCF7ADR and MCF7NON libraries when aligned to hairpin structure respectively. Meanwhile, 1323 and 520 reads were mapped when aligned to mature sequences. In addition, 310 known mature miRNAs were coexpressed in both libraries. Comparing the MCF7ADR group to the MCF7NON group, 18 miRNAs were significantly differentially expressed. GO annotation and KEGG analysis showed that the target genes were enriched in regulation of transcription and development as well as Wnt signaling pathway, MAPK signaling pathway and TGF-ß signaling pathway. CONCLUSION The results proved that the Solexa deep sequencing was a powerful and reliable platform to analyze small RNAs. And further investigation should be conducted for the biological process and pathways that have been identified and more efforts should be made to research the mechanism of chemoresistance in breast cancer.

Chemoresistance‑related long non‑coding RNA expression profiles in human breast cancer cells

Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death in females worldwide. Chemoresistance has been a major reason for the drug therapy failure. The present study performed a microarray analysis between MCF-7 and MCF-7/adriamycin (ADR) cells, and intended to identify long non-coding (lnc)RNA expression character in drug resistant breast cancer cells. MCF-7/ADR cells were induced from MCF-7 cells via pulse-selection with doxorubicin for 4 weeks, and the resistance to doxorubicin of ADR cells was confirmed by MTT assay. Microarray analysis was performed between MCF-7 and MCF-7/ADR cells. Total RNA was extracted from the two cell lines respectively and was transcribed into cDNA. The results of the microarray were verified by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Gene Ontology (GO) and pathways analysis were conducted to enrich the dysregulated lncRNAs presented in the microarray results. Compared to the MCF-7 cells, 8,892 lncRNAs were differentially expressed in MCF/ADR cells (absolute fold-change >2.0). A total of 32 lncRNAs were selected for RT-qPCR by fold-change filtering, standard Students t-test, and multiple hypothesis testing. Among the dysregulated lncRNAs, AX747207 was prominent because its associated gene RUNX3 was previously reported to be relative to malignant tumor chemoresistance. GO analysis results also indicated some biological processes and molecular functions linked to chemoresistance. The pathway enrichment results provided some potential pathways associated with chemoresistance. In the present study, the authors intended to identify lncRNA expression character in drug resistant cell line MCF-7/ADR, corresponding to the parental MCF-7 cell line. In addition, the study identified the lncRNA AX747207, and its potential targeted gene RUNX3, may be related to chemoresistance in breast cancer. These results may new insights into exploring the mechanisms of chemoresistance in breast cancer.

Roles of microRNAs in preeclampsia: LV et al.

Preeclampsia (PE) is a complex disorder that is characterized by hypertension and proteinuria after the 20th week of pregnancy, and it causes most neonatal morbidity and perinatal mortality. Most studies suggest that placental dysfunction is the main cause of PE. However, genetic factors, immune factors, and systemic inflammation are also related to the pathophysiology of this syndrome. Thus far, the exact pathogenesis of PE is not yet fully understood, and intense research efforts are focused on PE to elucidate the pathophysiological mechanisms. MicroRNAs (miRNAs) refer to small single‐stranded and noncoding molecules that can negatively regulate gene expression, and miRNA regulatory networks play an important role in diverse pathological processes. Many studies have confirmed deregulated miRNA in pregnant patients with PE, and the function and mechanism of these differentially expressed miRNA are gradually being revealed. In this review, we summarize the current research about miRNA involved in PE, including placenta‐specific miRNA, their predictive value, and their function in the development of PE. This review will provide fundamental evidence of miRNA in PE, and further studies are necessary to explore the roles of miRNA in the early diagnosis and treatment of PE.

Comprehensive profiling of biological processes reveals two major prognostic subtypes in breast cancer.

Heterogeneity is the major obstacle to breast cancer target therapy. Classification of breast cancer with significant biological process may reduce the influence of heterogeneity of intrinsic tumor. We used survival analysis to filter 95 gene sets and classify 638 breast cancer samples into two subtypes based on those gene sets associated with prognosis. Clinical outcome of two subtypes were evaluated with disease-free survival, distant metastasis-free survival, and overall survival levels in three databases and ER+, PR+ HER2+, and TNBC groups. We established a novel classification with 95 prognostic gene sets. In the training and validation cohorts, the subtype 1 was characterized by significant gene sets associated with regulation of metabolic process and enzyme activity and predicted obviously improved clinical outcome than subtype 2, which was enriched by tumor cell division, mitosis, and cell cycle-related gene sets (P < 0.05). When evaluated prognostic impact of subtypes in ER+, PR+ HER2+, and TNBC groups, we found that patients in subtype 1 showed better prognosis in ER+ and PR+ groups (P < 0.05) but had no difference from prognosis of subtype 2 in HER2+ and TNBC groups. These findings may have implications in understanding of breast cancer and filtering effective therapeutic strategies for targeted therapy.