Manran Liu

Cancer-associated fibroblasts: A multifaceted driver of breast cancer progression

Cancerous tissue is a complex mix of tumor cells, stromal cells and extracellular matrix (ECM), all of which make up a disordered and aggressive niche in comparison with organized and homeostatic normal tissue. It is well accepted that the tumor microenvironment plays an indispensable role in cancer development, and thus can be recognized as an additional cancer hallmark alongside those that are well established. In breast cancer, cancer associated fibroblasts (CAFs) are the predominant cellular components and play a centric role in the tumor microenvironment since they not only promote cancer initiation, growth, invasion, metastasis and therapeutic resistance but are also involved in microenvironmental events including angiogenesis/lymphangiogenesis, ECM remodeling, cancer-associated inflammation and metabolism reprogramming, all of which are known to have pre-malignancy potency. At the molecular level, there is a sophisticated network underlying the interactions between CAFs and epithelial cells as well as other stromal components. Accordingly, targeting CAFs provides a novel strategy in cancer therapy. Herein, we summarize the current understanding of the role of CAFs in breast cancer.

MiRNA expression analysis of cancer-associated fibroblasts and normal fibroblasts in breast cancer

Cancer-associated fibroblasts (CAFs) promote tumorigenesis, growth, invasion and metastasis of cancer, whereas normal fibroblasts (NFs) are thought to suppress tumor progression. Little is known about miRNAs expression differences between CAFs and NFs or the patient-to-patient variability in miRNAs expression in breast cancer. We established primary cultures of CAFs and paired NFs from six resected breast tumor tissues that had not previously received radiotherapy or chemotherapy treatment and analyzed with miRNAs microarrays. The array data were analyzed using paired SAM t-test and filtered according to α and q values. Pathway analysis was conducted using DAVID v6.7. We identified 11 dysregulated miRNAs in CAFs: three were up-regulated (miR-221-5p, miR-31-3p, miR-221-3p), while eight were down-regulated (miR-205, miR-200b, miR-200c, miR-141, miR-101, miR-342-3p, let-7g, miR-26b). Their target genes are known to affect cell differentiation, adhesion, migration, proliferation, secretion and cell-cell interaction. By our knowledge it is firstly identify the expression profiles of miRNAs between CAFs and NFs and revealed their regulation on the associated signaling pathways.

GPR30 as an initiator of tamoxifen resistance in hormone-dependent breast cancer

IntroductionTamoxifen is widely used to treat hormone-dependent breast cancer, but its therapeutic benefit is limited by the development of drug resistance. Here, we investigated the role of estrogen G-protein coupled receptor 30 (GPR30) on Tamoxifen resistance in breast cancer.MethodsPrimary tumors (PTs) of breast cancer and corresponding metastases (MTs) were used to evaluate the expression of GPR30 and epidermal growth factor receptor (EGFR) immunohistochemically. Tamoxifen-resistant (TAM-R) subclones derived from parent MCF-7 cells were used to investigate the role of GPR30 in the development of tamoxifen resistance, using MTT assay, western blot, RT-PCR, immunofluorescence, ELISA and flow cytometry. TAM-R xenografts were established to assess anti-tumor effects of combination therapy with GPR30 antagonist G15 plus 4-hydroxytamoxifen (Tam), using tumor volume measurement and Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL).ResultsIn 53 human breast cancer specimens, GPR30 expression in MTs increased compared to matched PTs; in MTs, the expression patterns of GPR30 and EGFR were closely related. Compared to parent MCF-7 cells, TAM-R cells had greater growth responses to 17β-estradiol (E2), GPR30 agonist G1 and Tam, and significantly higher activation of Mitogen-activated protein (MAP) kinases; but this increased activity was abolished by G15 or AG1478. In TAM-R cells, GPR30 cell-surface translocation facilitated crosstalk with EGFR, and reduced cAMP generation, attenuating inhibition of EGFR signaling. Combination therapy both promoted apoptosis in TAM-R cells and decreased drug-resistant tumor progression.ConclusionsLong-term endocrine treatment facilitates the translocation of GPR30 to cell surfaces, which interferes with the EGFR signaling pathway; GPR30 also attenuates the inhibition of MAP kinases. These factors contribute to tamoxifen resistance development in breast cancer. Combination therapy with GPR30 inhibitors and tamoxifen may provide a new therapeutic option for drug-resistant breast cancer.

LncRNA-Hh Strengthen Cancer Stem Cells Generation in Twist-Positive Breast Cancer via Activation of Hedgehog Signaling Pathway.

Cancer stem cells (CSCs) are a subpopulation of neoplastic cells with self‐renewal capacity and limitless proliferative potential as well as high invasion and migration capacity. These cells are commonly associated with epithelial‐mesenchymal transition (EMT), which is also critical for tumor metastasis. Recent studies illustrate a direct link between EMT and stemness of cancer cells. Long non‐coding RNAs (lncRNAs) have emerged as important new players in the regulation of multiple cellular processes in various diseases. To date, the role of lncRNAs in EMT‐associated CSC stemness acquisition and maintenance remains unclear. In this study, we discovered that a set of lncRNAs were dysregulated in Twist‐positive mammosphere cells using lncRNA microarray analysis. Multiple lncRNAs‐associated canonical signaling pathways were identified via bioinformatics analysis. Especially, the Shh‐GLI1 pathway associated lncRNA‐Hh, transcriptionally regulated by Twist, directly targets GAS1 to stimulate the activation of hedgehog signaling (Hh). The activated Hh increases GLI1 expression, and enhances the expression of SOX2 and OCT4 to play a regulatory role in CSC maintenance. Thus, the mammosphere‐formation efficiency (MFE) and the self‐renewal capacity in vitro, and oncogenicity in vivo in Twist‐positive breast cancer cells are elevated. lncRNA‐Hh silence in Twist‐positive breast cells attenuates the activated Shh‐GLI1 signaling and decreases the CSC‐associated SOX and OCT4 levels, thus reduces the MFE and tumorigenesis of transplanted tumor. Our results reveal that lncRNAs function as an important regulator endowing Twist‐induced EMT cells to gain the CSC‐like stemness properties. Stem Cells 2016;34:55–66

Biological characteristics and genetic heterogeneity between carcinoma-associated fibroblasts and their paired normal fibroblasts in human breast cancer.

Background The extensional signals in cross-talk between stromal cells and tumor cells generated from extracellular matrix molecules, soluble factor, and cell-cell adhesion complexes cooperate at the extra- and intracellular level in the tumor microenvironment. CAFs are the primary type of stromal cells in the tumor microenvironment and play a pivotal role in tumorigenesis and development. Hitherto, there is hardly any systematic analysis of the intrinsic relationship between CAFs function and its abnormal signaling pathway. The extreme complexity of CAFs’ features and their role in tumor development are needed to be further investigated. Methodology/Principal Findings We primary cultured CAFs and NFs from early stages of breast cancer tissue and identified them using their biomarker by immunohistochemistry for Fibronectin, α-SMA and FAP. Microarray was applied to analyze gene expression profiles of human breast CAFs and the paired NFs. The Up-regulated genes classified by Gene Ontology, signal pathways enriched by DAVID pathway analysis. Abnormal signaling pathways in breast cancer CAFs are involved in cell cycle, cell adhesion, signal transduction and protein transport being reported in CAFs derived from other tumors. Significantly, the altered ATM signaling pathway, a set of cell cycle regulated signaling, and immune associated signaling are identified to be changed in CAFs. Conclusions/Significance CAFs have the vigorous ability of proliferation and potential of invasion and migration comparing with NFs. CAFs could promote breast cancer cell invasion under co-culture conditions through up-regulated CCL18 and CXCL12. Consistently with its biologic behavior, the gene expression profiling analyzed by microarray shows that some of key signaling pathways, such as cell cycle, cell adhesion, and secreting factors play an important role in CAFs. The altered ATM signaling pathway is abnormally active in the early stage of breast cancer. The set of immune associated signaling may be involved in tumor cell immune evasion.

Twist promotes reprogramming of glucose metabolism in breast cancer cells through PI3K/AKT and p53 signaling pathways

Twist, a key regulator of epithelial-mesenchymal transition (EMT), plays an important role in the development of a tumorigenic phenotype. Energy metabolism reprogramming (EMR), a newly discovered hallmark of cancer cells, potentiates cancer cell proliferation, survival, and invasion. Currently little is known about the effects of Twist on tumor EMR. In this study, we found that glucose consumption and lactate production were increased and mitochondrial mass was decreased in Twist-overexpressing MCF10A mammary epithelial cells compared with vector-expressing MCF10A cells. Moreover, these Twist-induced phenotypic changes were augmented by hypoxia. The expression of some glucose metabolism-related genes such as PKM2, LDHA, and G6PD was also found to be upregulated. Mechanistically, activated β1-integrin/FAK/PI3K/AKT/mTOR and suppressed P53 signaling were responsible for the observed EMR. Knockdown of Twist reversed the effects of Twist on EMR in Twist-overexpressing MCF10A cells and Twist-positive breast cancer cells. Furthermore, blockage of the β1-integrin/FAK/PI3K/AKT/mTOR pathway by siRNA or specific chemical inhibitors, or rescue of p53 activation can partially reverse the switch of glucose metabolism and inhibit the migration of Twist-overexpressing MCF10A cells and Twist-positive breast cancer cells. Thus, our data suggest that Twist promotes reprogramming of glucose metabolism in MCF10A-Twist cells and Twist-positive breast cancer cells via activation of the β1-integrin/FAK/PI3K/AKT/mTOR pathway and inhibition of the p53 pathway. Our study provides new insight into EMR.

MicroRNA-92a as a Potential Biomarker in Diagnosis of Colorectal Cancer: A Systematic Review and Meta-Analysis

Introduction Previous studies demonstrated that MicroRNA-92a (miR-92a) was significantly differential expressed between colorectal cancer (CRC) patients and control cohorts, which provide timely relevant evidence for miR-92a as a novel promising biomarker in the colorectal cancer patients. This meta-analysis aimed to evaluate potential diagnostic value of plasma miR-92a. Methods Relevant literatures were collected in PubMed, Embase, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI) and Technology of Chongqing (VIP), and Wan Fang Data. Sensitivity, specificity and diagnostic odds ratio (DOR) for miR-92a in the diagnosis of CRC were pooled using random effects models. Summary receiver operating characteristic (SROC) curve analysis and the area under the curve (AUC) were used to estimate the overall test performance. Results This Meta-analysis included six studies with a total of 521 CRC patients and 379 healthy controls. For miR-92a, the pooled sensitivity, specificity and DOR to predict CRC patients were 76% (95% confidence interval [CI]: 72%–79%), 64% (95% confidence interval [CI]: 59%–69%) and 8.05 (95% CI: 3.50–18.56), respectively. In addition, the AUC of miR-92a in diagnosis CRC is 0.7720. Conclusions MicroRNA-92a might be a novel potential biomarker in the diagnosis of colorectal cancer, and more studies are needed to highlight the theoretical strengths.

GPER mediates enhanced cell viability and motility via non-genomic signaling induced by 17β-estradiol in triple-negative breast cancer cells

Triple-negative breast cancer (TNBC) is an aggressive breast cancer with a generally poor prognosis. Due to lack of specific targets for its treatment, an efficient therapy is needed. G protein-coupled estrogen receptor (GPER), a novel estrogen receptor, has been reported to be expressed in TNBC tissues. In this study, we investigated the effects of blocking non-genomic signaling mediated by the estrogen/GPER pathway on cell viability and motility in the TNBC cells. GPER was strongly expressed in the TNBC cell lines MDA-MB-468 and MDA-MB-436, and the estrogen-mediated non-genomic ERK signaling activated by GPER was involved in cell viability and motility of TNBC cells. Treatment with 17β-estradiol (E2), the GPER-specific agonist G-1 and tamoxifen (TAM) led to rapid activation of p-ERK1/2, but not p-Akt. Moreover, estrogen/GPER/ERK signaling was involved in increasing cell growth, survival, and migration/invasion by upregulating expression of cyclinA, cyclinD1, Bcl-2, and c-fos associated with the cell cycle, proliferation, and apoptosis. Immunohistochemical analysis of TNBC specimens showed a significantly different staining of p-ERK1/2 between GPER-positive tissues (58/66, 87.9%) and GPER-negative tissues (13/30, 43.3%). The positivity of GPER and p-ERK1/2 displayed a strong association with large tumor size and poor clinical stage, indicating that GPER/ERK signaling might also contribute to tumor progression in TNBC patients which corresponded with in vitro experimental data. Our findings suggest that inhibition of estrogen/GPER/ERK signaling represents a novel targeted therapy in TNBC.

LncRNA expression signatures of twist-induced epithelial-to-mesenchymal transition in MCF10A cells.

The epithelial-to-mesenchymal transient (EMT) is associated with tumor metastasis. Twist is one of the key transcription factors for EMT and relates to tumor cell migration. Long non-coding RNAs (lncRNAs) have recently emerged as important regulatory molecules involved in a broad range of biological processes and complicated diseases. However, it is unknown whether a signal network and lncRNAs are involved in Twist-induced EMT program. Taking MCF10A/Twist as a model, more than 99 lncRNAs and 3164 genes are regulated in the Twist-induced EMT process using lncRNA-array and cDNA micro-array. We establish a downstream signal network associated with EMT induced by Twist using bioinformatic analysis (Gene Ontology, pathway analysis) and experimental data. A set of multiple canonical signal pathways (such as WNT, MAPK, JAK/STAT, TGF-β, mTOR, Hedgehog and P53 signaling pathways) and several lncRNAs [such as lncRNA (chr6, 26124411-26139312, +), lncRNA (chr1, 41944445-41949874, -), lncRNA (chr17, 44833874-44834830, +)] are altered in MCF10A/Twist cells. More interestingly, lncRNA (chr17, 44833874-44834830, +), lncRNA (chr17, 21142183-21156578, -), lncRNA (chr6, 26124411-26139312, +) and lncRNA (chr19, 438420-2083745, -) may be involved in regulation or activation of WNT signaling pathway in the Twist-induced EMT process. These findings first determine that Twist contributes to invasion and metastasis by inducing wide-ranging transcriptional and functional changes of lncRNAs and signal pathways in our study.

Tissue Biomarkers for Prognosis of Prostate Cancer: A Systematic Review and Meta-analysis

Background: Although numerous investigators have made efforts to assess prognostic biomarkers of prostate cancer, no biomarker has been recommended for clinical practice. Methods: According to REMARK (Reporting recommendations for tumor marker prognostic studies) and MISFISHIE (Minimum information specification for in situ hybridization and immunohistochemistry experiments) guidelines, the published articles of immunohistochemistry-based prognostic biomarkers on prostate cancer were extracted and pooled. Results: Ninety-three prognostic biomarkers from 92 high-quality cohort studies were included in this meta-analysis. Our analysis reveals some promising independent prognostic biomarkers, including Ki-67 [all-cause mortality (ACM) HR, 1.85; 95% confidence interval (CI), 1.06–3.25; PSM HR, 1.82; 95% CI, 1.42–2.34; DFS HR, 1.51; 95% CI, 1.31–1.75]; Bcl-2 (ACM HR, 2.14; 95% CI, 1.27–3.58; PSM HR, 1.61; 95% CI, 1.01–2.57; DFS HR, 3.86; 95% CI, 2.14–6.96); CD147 (ACM HR, 2.63; 95% CI, 1.19–5.81; DFS HR, 5.84; 95% CI, 3.41–9.99); COX-2 (PSM HR, 7.6; 95% CI, 0.7–80.1; DFS HR, 7.9; 95% CI, 2.62–23.83); ALDH1A1 (ACM HR, 1.73; 95% CI, 1.163–2.527; PSM HR, 1.05; 95% CI, 1.028–1.107), and FVIII (ACM HR, 1.76; 95% CI, 1.19–2.60; PSM HR, 1.01; 95% CI, 1.01–1.02). Conclusions: Our analysis identified a subset of biomarkers (Ki-67, Bcl-2, CD147, COX-2, ALDH1A1, and FVIII) that may have prognostic value for predicting the outcome of patients with prostate cancer. Impact: These reliable prognostic biomarkers will improve the clinical management of patients with prostate cancer. Cancer Epidemiol Biomarkers Prev; 23(6); 1047–54. ©2014 AACR.