Overexpression of collagen type V α1 chain in human breast invasive ductal carcinoma is mediated by TGF-β1
- Authors:
- Published online on: March 15, 2018 https://doi.org/10.3892/ijo.2018.4317
- Pages: 1694-1704
Abstract
Introduction
Breast cancer is one of the most commonly diagnosed cancers in females worldwide (1). The estimated new cases of female breast cancer and associated mortalities were 252,710 and 40,610, respectively, in the United States in 2017 (2) and 268,600 and 69,500, respectively, in China in 2015 (3). Among American women, there were an estimated 231,840 new cases of invasive breast cancer diagnosed in 2015 (4). The majority of breast cancer cases are histologically invasive ductal carcinoma (IDC; also known as infiltrating ductal carcinoma) (5), followed by the invasive lobular cancer subtype (6). Despite improvements to various treatment methods, there remains a lack of effective ways to prevent and cure this malignant disease. Therefore, identifying specific biomarkers and therapeutic targets of breast cancer at an early stage is of particular importance.
Collagen type V α1 chain (COL5A1) is a minor fibrillar collagen which has previously been reported to be associated with embryonic development, fibrillogenesis and Ehlers-Danlos syndrome (7). COL5A1 forms a heterotrimer (one α1 and two α2) (8) and usually co-polymerizes with type I collagen to adjust the diameter of the collagen molecules (9). Overexpression of the COL5A1 gene has been observed in certain pathological conditions, including inflammation and atherosclerosis (10). However, previous studies have suggested that COL5A1 may be involved in tumor initiation and progression in several types of malignant tumor. For example, the expression of COL5A1 is increased in tongue squamous cell carcinoma and ovarian cancer, and is associated with certain clinical characteristics (11,12). Furthermore, COL5A1 has been identified as a biomarker of human gastric cancer using gene expression profiling (13) and RNA-sequencing has revealed that it is associated with the extracellular matrix (ECM) degradation pathways in papillary thyroid carcinoma (14). More recently, comprehensive bioinformatics analysis has revealed that COL5A1 is one of the key genes between patients with inflammatory and non-inflammatory breast cancer (15). The collagen family is also a promising prognostic marker for patients with cancer (11) and contributes to cancer progression by participating in the ECM-receptor interaction pathway (16). Furthermore, in osteoblasts, COL5A1 has been revealed to be mediated by transforming growth factor-β (TGF-β) (17), a cytokine that participates in the invasive progression of breast cancer (18). However, the function of COL5A1 in IDC of the breast and whether COL5A1 is regulated by TGF-β in IDC remains unclear.
The present study was performed to detect the expression of COL5A1 in human IDC compared with its adjacent normal tissue and fibroadenoma of the breast. The loss-of-function of COL5A1 and the regulation of COL5A1 protein expression by TGF-β1 were also investigated in breast cancer cells.
Materials and methods
Human subjects and tissue sample preparation
Informed consent was obtained from patients, and the present study was approved by the Ethics Committee of Jinshan Hospital, Fudan University (Shanghai, China). A total of 180 paraffin-embedded breast tissue samples (90 cases of IDC and 90 cases of fibroadenoma) were collected at Jinshan Hospital between January 2010 and December 2015. The median age of patients was 54 years (range, 33-85 years). No patients underwent chemotherapy and radiotherapy prior to cytoreductive surgery. The IDC and fibroadenoma tissues were diagnosed by pathologists.
Immunohistochemical (IHC) staining and analysis
IHC analysis was performed as previously described (19). Briefly, the 4% paraformaldehyde-fixed, paraffin-embedded tissue specimens were sectioned (4 μm thick), deparaffinized in xylene and rehydrated in a descending alcohol series. Following blocking for 30 min at room temperature with 10% normal goat serum (Fuzhou Maixin Biotech Co., Ltd., Fuzhou, China; cat. no. SP KIT-B2), the sections were incubated with monoclonal rabbit anti-COL5A1 (1:200 dilution; cat. no. SAB4500384, Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) at 4°C overnight. Following incubation with horseradish peroxidase (HRP)-conjugated goat anti-rabbit secondary antibody (1:200 dilution; cat. no. L3012; Signalway Antibody LLC, College Park, MD, USA) for 1 h at room temperature, the signal was detected using a DAB kit (Fuzhou Maixin Biotech Co., Ltd.; cat. no. DAB-0031). Following counterstaining with hematoxylin, a photograph was taken under a light microscope. The presence of brown color within a cell was considered to be positive staining. The immunoreactive staining of COL5A1 in the tissue of a section was evaluated by two independent pathologists. COL5A1-low and -high expression in the breast tissue was determined as previously described (20,21).
Cell culture and TGF-β1 administration
Human breast non-tumorous MCF-12A and cancerous MCF-7 cells were obtained from the American Type Culture Collection (Manassas, VA, USA). MCF-12A and MCF-7 cells were cultured in Dulbecco's modified Eagle's medium/F12 and RPMI-1640 media, respectively. Following incubation for 24 h in 6-well plates, the cells were treated with recombinant human TGF-β1 (10 ng/ml rhTGF-β1; cat. no. 240-B; R&D Systems, Inc., Minneapolis, MN, USA) at 37°C for 48 h. For the blocking assay, cells were pretreated with an inhibitor of TGF-β type I receptor kinase (10 μM SB-431542, cat. no. S4317-5MG; Sigma-Aldrich; Merck KGaA) at 37°C for 30 min, followed by treatment of rhTGF-β1 at 37°C for 48 h.
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)
Total RNA in the tissues and cells was extracted using TRIzol reagent (cat. no. 9109; Takara Biotechnology Co., Ltd., Dalian, China), according to the manufacturer's protocol. Total RNA (1 μg) was reverse transcribed using a First Strand cDNA Synthesis kit (cat. no. 04896866001; Roche Diagnostics, Indianapolis, IN, USA). The primers were synthesized by BioTNT Co., Ltd. (Shanghai, China). The sequences of primers were as follows: human COL5A1 forward, 5′-CTCCCTGCTTTCTTTATCCT-3′ and reverse, 5′-GAGTGTGCTTGGCTATCCTG-3′; human β-actin forward, 5′-AAGGTGACAGCAGTCGGTT-3′ and reverse, 5′-TGTGTGGACTTGGGAGAGG-3′. PCR amplification was performed on 7300 Real-Time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA), using a SYBR-Green I Master kit (cat. no. 04707516001; Roche Diagnostics) with the following steps: 1 cycle of 95°C for 10 min for denaturation and 40 cycles of 95°C for 5 sec and 60°C for 30 sec for amplification. The 2−ΔΔCq method (22) was used to calculate the relative amount of COL5A1 normalized to the β-actin control using Sequence Detection Software v1.4 (Applied Biosystems; Thermo Fisher Scientific, Inc.).
Western blot analysis
Fresh IDC tissues, adjacent normal tissues and fibroadenoma were lysed in ice-cold RIPA buffer (cat. no. 89900) with Pierce™ Protease and Phosphatase Inhibitor Mini Tablets (cat. no. 88668) (both from Thermo Fisher Scientific, Inc.). Following dissociation using a homogenizer, the tissue samples were centrifuged at 800 × g for 5 min at 4°C. The supernatant was transferred to a new tube and the sample was sonicated for 30 sec, followed by centrifugation at 20,000 × g for 20 min at 4°C. Protein concentration was determined using a BCA Protein Assay kit (cat. no. 23227; Thermo Fisher Scientific, Inc.). MCF-7 and MCF-12A cells were also lysed in ice-cold RIPA buffer. Total protein (20 μg) was separated on 6% SDS-PAGE and transferred to a PVDF membrane (cat. no. IPVH00010; EMD Millipore, Billerica, MA, USA). Following blocking with 5% non-fat milk for 1 h at room temperature, the membrane was incubated with a primary antibodies at 4°C overnight and subsequently incubated with HRP-conjugated goat anti-rabbit or anti-mouse IgG (1:5,000 dilution; cat. nos. L3012 and L3032; Signalway Antibody LLC) for 1 h at room temperature. The following primary antibodies were used: Rabbit anti-COL5A1 (1:600 dilution; cat. no. SAB4500384; Sigma-Aldrich; Merck KGaA), mouse anti-Smad2 and rabbit anti-phosphorylated-Smad2 (1:2,000 dilution; cat. nos. 3103 and 3108; Cell Signaling Technology, Inc., Danvers, MA, USA), and rabbit anti-β-actin (1:5,000 dilution; cat. no. 66009-1-Ig; Wuhan Sanying Biotechnology, Wuhan, China). Signals were measured using the Tanon-4500 Gel Imaging System (Tanon Science and Technology Co., Ltd., Shanghai, China) following the addition of Immobilon™ Western Chemiluminescent HRP Substrate (cat. no. WBKLS0100; EMD Millipore) and analyzed using GIS ID Analysis Software v4.1.5 (Tanon Science and Technology Co., Ltd.).
Small interfering (si)RNA transfection
A total of 2×105 cells/well were plated into 6-well plates for 24 h, and were then transfected with 50 nM/well human COL5A1-siRNA (COL5A1-siR) or scramble, nonspecific control-siRNA (C-siR). The sequences of human COL5A1-siR were 5′-GGGAUUCCUUCAAGGUUUATT-3′ (sense) and 5′-UAAACCUUGAAGGAAUCCCTT-3′ (antisense). The sequences of C-siR were 5′-UUCUCCGAACG UGUCACGUTT-3′ (sense) and 5′-ACGUGACACGUUCGGAGAATT-3′ (antisense). GAPDH was used as a positive control with the sequences of 5′-UGACCUCAACUACAUGGUUTT-3′ (sense) and 5′-AACCAUGUAGUUGAGGUCATT-3′ (anti-sense). All siRNAs were purchased from Shanghai GenePharma Co., Ltd., (Shanghai, China). Transfection was performed using X-tremeGENE siRNA Transfection Reagent (cat. no. 4476093001; Roche Diagnostics).
Cell viability assay
Cells were seeded in a 96-well plate at a density of 3,000/well for 24 h, and then transfected with 0.5 μg/well human COL5A1 siRNA (COL5A1-siR) or control scramble siRNA (C-siR) and incubated for 24 to 48 h. Cell viability was measured using the WST-1 kit (cat. no. W201; Dojindo Molecular Technologies, Inc., Kumamoto, Japan) according to the manufacturer's protocol. The optical density of each well was read at 450 nm using a plate reader (BioTek Instruments, Inc., Winooski, VT, USA). The experiment was repeated at least three times.
Wound healing assay
Following COL5A1-siR transfection, a scraping wound was made in the cell culture using a 1 ml pipette tip. Following removal of the detached cells and cell debris by washing with culture medium, the attached cells were incubated in medium containing 10% fetal bovine serum (FBS; cat. no. 35-010-CV; Corning Life Sciences, Tewksbury, MA, USA) for 48 h. Photos were taken using an inverted microscope and the width of each gap was analyzed using MATLAB software version R2015b (The MathWorks, Inc., Natick, MA, USA).
Transwell invasion assay
Transwell chambers (cat. no. 3422; Corning Life Sciences) were inserted into 24-well plates with the addition of 0.1 ml of pre-warmed and diluted Matrigel Matrix (cat. no. 356234; Corning Life Sciences). Following gel formation for 1 h and hydration for 2 h at 37°C, the transfected cells (104 cells/well) were seeded into the upper chamber with serum-free medium. In the lower chamber, 0.5 ml culture medium with 10% FBS was added. Following cell culture at 37°C for 24 h, media in the upper and lower chambers were aspirated. Non-invaded cells on the inner surface of the membrane were removed with a cotton swab and the invaded cells on the outer surface of the membrane were fixed with 4% paraformaldehyde for 10 min and stained with crystal violet for 30 min at room temperature. The cells were observed under an inverted microscope and photographed.
Bioinformatics analysis
ONCOMINE (www.oncomine.org) was used to confirm the reliability of the comparison of COL5A1 expression between normal breast tissues and IDC tissues. The survival rate was obtained from The Cancer Genome Atlas (TCGA, http://cancergenome.nih.gov/) database, which provides abundant gene expression data of human cancers through RNA-sequencing analysis.
Statistical analysis
All data were analyzed using Stata 11 software (StataCorp LLC, College Station, TX, USA). The Kaplan-Meier method was used to analyze survival data and the log-rank test was used for single-factor analysis. For multi-group comparisons, one-way analysis of variance was used followed by Bonferroni post hoc test. For comparisons between two groups, the associations between COL5A1 protein expression and histological type or clinicopathological characteristics, a χ2 test was applied. Results are presented as the mean ± standard deviation. P<0.05 was considered to indicate a statistically significant difference.
Results
COL5A1 is overexpressed in human breast cancer
Positive staining of COL5A1 protein in ductal epithelial cells of breast tissue derived from patients with malignant IDC was observed by IHC (Fig. 1A). The positive rate of high COL5A1 protein expression was significantly increased in IDC tissues (malignant) compared with adjacent normal tissues (normal) and fibroadenoma tissues (benign; P<0.05) (Fig. 1B). Overexpression of COL5A1 at the mRNA and protein levels was further confirmed in IDC tissues by RT-qPCR (Fig. 1C) and western blot analysis (Fig. 1D and E).
COL5A1 expression is associated with the expression of ER and PR in patients with breast cancer
Next, our group examined whether the expression of COL5A1 protein was associated with the clinicopathological features of patients with IDC. The expression of COL5A1 protein was not significantly associated with the majority of clinicopathological features, including age (≥60 vs. <60), lymph node metastasis (yes vs. no), tumor size (≤2.0 vs. >2 cm), histological grades and clinical stages (all P>0.05) (Table I). However, through comparisons of COL5A1 protein expression with breast cancer-associated markers, expression of COL5A1 protein was revealed to be associated with the expression of ER and PR (P<0.05) (Fig. 2 and Table I), but was not associated with the expression of Her2 and Ki-67, a proliferation marker (Table I).
![]() | Table IAssociations between COL5A1 and clinicopathological characteristics of patients with invasive ductal carcinoma (n=90). |
Using bioinformatics analysis of the Oncomine database (www.oncomine.org), these results were confirmed to be consistent with data from public databases. A high level of COL5A1 mRNA expression was observed in invasive breast carcinomas compared with normal breast tissues in the microarray data-sets from different groups with a fold change >2 (Fig. 3). There were fold changes of 5.043 (P<0.001; Fig. 3A) in the datasets of Finak (23), 3.585 (P<0.0001; Fig. 3B) in the datasets of Ma (24), 2.84 (P<0.0001; Fig. 3C) in the datasets of TCGA (http://tcga-data.nci.nih.gov/tcga/), 2.703 (P=0.001; Fig. 3D) in the datasets of Radvanyi (25), 2.178 (P<0.0001; Fig. 3E) in the datasets of Zhao (26), and 2.005 (P<0.0001; Fig. 3F) in the datasets of Curtis (27), respectively. These data indicated that COL5A1 may be involved in IDC development.
Kaplan-Meier Plotter datasets were analyzed (http://kmplot.com/analysis/) (28), and the survival plots revealed that high expression of COL5A1 mRNA was associated with distant metastasis free survival in patients with breast cancer (Fig. 3G), but was not associated with overall survival (OS), relapse-free survival or progression-free survival.
Knockdown of COL5A1 inhibits breast cell viability, migration, and invasion
To determine the effect of COL5A1 on the biological functions of breast cells, a loss-of-function approach was applied. Following transfection with a specific siRNA for 24 h, a significant decrease of COL5A1 protein was observed in MCF-12A and MCF-7 cells (P<0.05; Fig. 4A and B). Cell viability was significantly decreased in MCF-7 cells (P<0.05) but not in MCF-12A cells (P>0.05) following COL5A1-siRNA transfection for 24, 48 and 72 h (Fig. 4C and D).
Next, the migration of cells was examined following COL5A1 knockdown. The wound healing assay revealed that there was no difference in the width of the wound between COL5A1-siRNA-transfected and control-siRNA (NC)-transfected MCF-12A cells (P>0.05; Fig. 5A). However, wound width was significantly decreased in MCF-7 cells following COL5A1-siRNA transfection compared with NC at 48 h (P<0.05; Fig. 5B). Furthermore, knockdown of COL5A1 did not affect MCF-12A cell invasion (Fig. 5C) but significantly decreased the number of invading MCF-7 cells in the Transwell assay (Fig. 5D). These data indicated that COL5A1-siRNA influenced breast cancer MCF-7 cell viability, migration, and invasion, but this did not occur in the non-tumorous cell line MCF-12A.
COL5A1 expression is regulated by the TGF-β signaling pathway in breast cancer cells
As the TGF-β signaling pathway is involved in breast tumorigenesis (29), our group subsequently investigated whether the TGF-β signaling pathway regulates COL5A1 expression. Using western blot analysis, COL5A1 protein expression was revealed to be significantly increased following treatment with 10 ng/ml TGF-β1 in MCF-7 cells at 24, 48 and 72 h (P<0.05; Fig. 6A). An increase in Smad2 phosphorylation, which is a TGF-β signaling transducer protein activated following TGF-β1 treatment, was also observed in TGF-β1-treated MCF-7 cells, suggesting that TGF-β signaling exists in these cells (Fig. 6A). TGF-β1-mediated COL5A1 expression was blocked by its type I receptor inhibitor SB-431542 (10 nM; Fig. 6B), indicating that COL5A1 is regulated by the TGF-β signaling pathway.
Discussion
The present study demonstrated the overexpression of COL5A1 in human IDC. Collagen is one of the main components of the ECM and functions in cell adhesion, migration, differentiation and tissue regeneration, and at least 28 types of collagen have been identified (30). Type V collagen is a minor fibrillar collagen and has three subtypes: COL5A1, COL5A2 and COL5A3. Despite it at a low level in certain tissues, COL5A1 has been implicated in biological and pathophysiological processes and serves an important function in ECM regulation and assembly (9).
Previous studies have revealed differential expression of COL5A1 in several types of cancer, including serous ovarian cancer, gastric cancer, meningioma, tongue squamous cell carcinoma and invasive bladder transition cell carcinoma (11-13,31,32). The present study focused on IDC, the most common histological type of breast cancer. The results clearly demonstrated that COL5A1 was overexpressed in malignant tumor IDCs compared with adjacent normal tissues and benign tumor fibroadenomas, suggesting that COL5A1 may have biological functions in the development of breast cancer. Bioinformatics analyses of the microarray data from the public datasets confirmed the observation that COL5A1 was overexpressed in malignant breast tumors, and may be associated with metastasis. Although no correlation was observed between COL5A1 expression and OS in patients with breast cancer from the Kaplan-Meier Plotter database, an association between COL5A1 expression and poor OS of patients with ovarian cancer has been reported (12). In order to investigate whether the expression of COL5A1 is associated with OS, a large cohort study in patients with breast cancer is required in the future.
The present study demonstrated that increased COL5A1 expression in IDC was associated with estrogen receptor (ER) and progesterone receptor (PR) expression, indicating that COL5A1, like Her3 and Ki-67 (33,34), may serve a prognostic function in patients with IDC. Estrogen is a major driver of breast tumor cell growth (35) and ERα+ breast cancer is the leading cause of breast cancer-associated mortality (36). ER and PR, along with matrix metalloproteinase-2, have a prognostic value in patients with breast cancer (37). Indeed, the ER and PR status of human breast cancer represent important prognostic and predictive markers for human breast cancer (38,39). COL5A1 may also be a prognostic marker and an important contributor to tumor cell behavior as regulated by these hormone pathways. However, further studies are required in the future.
COL5A1 has a mutual interaction with other subtypes of collagen (9). Abnormal expression of COL5A1 is observed in a variety of diseases. Natural genetic mutation of the COL5A1 gene leads to defects in its expression and results in a congenital connective tissue dysplasia known as Ehlers-Danlos syndrome (40). In zebrafish embryos, COL5A1 is expressed in the spinal cord, somite, interstitial, cranial neural crest, and head cartilage (41). Knockout of COL5A1 causes severe dysfunction in the synthesis of collagen fibers (42,43). Notably, the present study demonstrated that knockdown of COL5A1 resulted in a decrease of the viability, migration, and invasion of breast cancer MCF-7 cells, but not of non-tumorous MCF-12A cells. As the expression of COL5A1 was relatively increased in MCF-7 cells compared with MCF-12A cells, an increase in its expression in cancerous cells may cause the change of cellular characteristics. Inhibiting collagen V has been demonstrated to lower the rate of growth, migration and invasion in 8701-BC breast cancer cells (44). These data indicate that COL5A1 is a cancer-associated molecule and may be a potential target for breast cancer treatment.
Despite the finding that COL5A1 was overexpressed in IDC, the mechanism underlying the regulation remains unclear. The TGF-β signaling pathway serves a key function in the regulation of ECM, including collagens (45), and mediates the epithelial-mesenchymal transition (46). Therefore, TGF-β may be involved in the regulation of COL5A1 in breast cancer cells. The present study demonstrated that COL5A1 protein expression was increased following TGF-β1 stimulation, and this increase was blocked in the presence of an inhibitor of TGF-β type I receptor. These data indicated that COL5A1 was regulated by the TGF-β signaling pathway in breast cancer cells, similar to the result observed in osteoblasts (17).
In conclusion, COL5A1 is overexpressed in IDC and regulated by TGF-β1. An increase of COL5A1 reflects the breast tumor progression. COL5A1 may serve as a novel biomarker and become a therapeutic target for the treatment of human breast IDC.
Acknowledgments
Not applicable.
Abbreviations:
COL5A1 |
collagen type V α1 chain |
ECM |
extracellular matrix |
ER |
estrogen receptor |
Her2 |
human epidermal growth factor receptor-2 |
IHC |
immunohistochemistry |
IDC |
invasive ductal carcinoma |
PR |
progesterone receptor |
TGF-β |
transforming growth factor-β |
Notes
[1] Funding
The present study was supported by grants from the Shanghai Municipal Commission of Health and Family Planning (grant no. 201640287), the National Natural Science Foundation of China (grant no. 81272880), the Natural Science Foundation of Shanghai (grant no. 17ZR1404100), the Science and Technology Commission of Shanghai Municipality (grant no. 124119b1300) and the Science and Technology Commission of Jinshan District (grant no. 2015-3-2).
[2] Availability of data and materials
All data generated or analyzed during this study are included in this published article.
[3] Authors' contributions
WR conducted experiments, and performed data analysis, figure generation and manuscript writing. YZ contributed to the collection of clinical samples and pathological diagnosis. LZ, QL, JZ performed part of the experiments and bioinformatics analyses. GX contributed to the experimental design, data analysis, figure generation and manuscript writing. All authors read and approved the final manuscript.
[4] Ethics approval and consent to participate
The present study was approved by the Ethics Committee of Jinshan Hospital, Fudan University (no. E-2017-11-01; Shanghai, China).
[5] Consent for publication
Informed consent was obtained from all patients.
[6] Competing interests
The authors declare that they have no competing interests.
References
Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J and Jemal A: Global cancer statistics, 2012. CA Cancer J Clin. 65:87–108. 2015. View Article : Google Scholar : PubMed/NCBI | |
Siegel RL, Miller KD and Jemal A: Cancer Statistics, 2017. CA Cancer J Clin. 67:7–30. 2017. View Article : Google Scholar : PubMed/NCBI | |
Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, Jemal A, Yu XQ and He J: Cancer statistics in China, 2015. CA Cancer J Clin. 66:115–132. 2016. View Article : Google Scholar : PubMed/NCBI | |
DeSantis CE, Fedewa SA, Goding Sauer A, Kramer JL, Smith RA and Jemal A: Breast cancer statistics, 2015: Convergence of incidence rates between black and white women. CA Cancer J Clin. 66:31–42. 2016. View Article : Google Scholar | |
Muñoz-Díaz MM, Fernández-Aceñero MJ, Salvadores P and Schneider J: Utility of a simplified molecular classification of tumors for predicting survival of patients with invasive ductal breast carcinoma. Anticancer Res. 29:4727–4730. 2009.PubMed/NCBI | |
Chen Z, Yang J, Li S, Lv M, Shen Y, Wang B, Li P, Yi M, Zhao X, Zhang L, et al: Invasive lobular carcinoma of the breast: A special histological type compared with invasive ductal carcinoma. PLoS One. 12:e01823972017. View Article : Google Scholar : PubMed/NCBI | |
Roulet M, Ruggiero F, Karsenty G and LeGuellec D: A comprehensive study of the spatial and temporal expression of the col5a1 gene in mouse embryos: A clue for understanding collagen V function in developing connective tissues. Cell Tissue Res. 327:323–332. 2007. View Article : Google Scholar | |
Fichard A, Tillet E, Delacoux F, Garrone R and Ruggiero F: Human recombinant alpha1(V) collagen chain. Homotrimeric assembly and subsequent processing. J Biol Chem. 272:30083–30087. 1997. View Article : Google Scholar : PubMed/NCBI | |
Wenstrup RJ, Florer JB, Brunskill EW, Bell SM, Chervoneva I and Birk DE: Type V collagen controls the initiation of collagen fibril assembly. J Biol Chem. 279:53331–53337. 2004. View Article : Google Scholar : PubMed/NCBI | |
Borradaile NM and Pickering JG: Polyploidy impairs human aortic endothelial cell function and is prevented by nicotinamide phosphoribosyltransferase. Am J Physiol Cell Physiol. 298:C66–C74. 2010. View Article : Google Scholar | |
Suresh A, Vannan M, Kumaran D, Gümüs ZH, Sivadas P, Murugaian EE, Kekatpure V, Iyer S, Thangaraj K and Kuriakose MA: Resistance/response molecular signature for oral tongue squamous cell carcinoma. Dis Markers. 32:51–64. 2012. View Article : Google Scholar : PubMed/NCBI | |
Cheon DJ, Tong Y, Sim MS, Dering J, Berel D, Cui X, Lester J, Beach JA, Tighiouart M, Walts AE, et al: A collagen-remodeling gene signature regulated by TGF-β signaling is associated with metastasis and poor survival in serous ovarian cancer. Clin Cancer Res. 20:711–723. 2014. View Article : Google Scholar | |
Sun H: Identification of key genes associated with gastric cancer based on DNA microarray data. Oncol Lett. 11:525–530. 2016. View Article : Google Scholar : PubMed/NCBI | |
Qiu J, Zhang W, Xia Q, Liu F, Li L, Zhao S, Gao X, Zang C, Ge R and Sun Y: RNA sequencing identifies crucial genes in papillary thyroid carcinoma (PTC) progression. Exp Mol Pathol. 100:151–159. 2016. View Article : Google Scholar | |
Chai F, Liang Y, Zhang F, Wang M, Zhong L and Jiang J: Systematically identify key genes in inflammatory and noninflammatory breast cancer. Gene. 575:600–614. 2016. View Article : Google Scholar | |
Huang Y, Tao Y, Li X, Chang S, Jiang B, Li F and Wang ZM: Bioinformatics analysis of key genes and latent pathway interactions based on the anaplastic thyroid carcinoma gene expression profile. Oncol Lett. 13:167–176. 2017. View Article : Google Scholar : PubMed/NCBI | |
Kahai S, Vary CP, Gao Y and Seth A: Collagen, type V, alpha1 (COL5A1) is regulated by TGF-beta in osteoblasts. Matrix Biol. 23:445–455. 2004. View Article : Google Scholar : PubMed/NCBI | |
Lo PK, Zhang Y, Yao Y, Wolfson B, Yu J, Han SY, Duru N and Zhou Q: Tumor-associated myoepithelial cells promote the invasive progression of ductal carcinomain situthrough activation of TGFβ signaling. J Biol Chem. 292:11466–11484. 2017. View Article : Google Scholar : PubMed/NCBI | |
Zhou D, Zhang L, Sun W, Guan W, Lin Q, Ren W, Zhang J and Xu G: Cytidine monophosphate kinase is inhibited by the TGF-β signalling pathway through the upregulation of miR-130b-3p in human epithelial ovarian cancer. Cell Signal. 35:197–207. 2017. View Article : Google Scholar : PubMed/NCBI | |
Wang X, Gui L, Zhang Y, Zhang J, Shi J and Xu G: Cystatin B is a progression marker of human epithelial ovarian tumors mediated by the TGF-β signaling pathway. Int J Oncol. 44:1099–1106. 2014. View Article : Google Scholar : PubMed/NCBI | |
Zhu Y, Guo M, Zhang L, Xu T, Wang L and Xu G: Biomarker triplet NAMPT/VEGF/HER2 as a de novo detection panel for the diagnosis and prognosis of human breast cancer. Oncol Rep. 35:454–462. 2016. View Article : Google Scholar | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar | |
Finak G, Bertos N, Pepin F, Sadekova S, Souleimanova M, Zhao H, Chen H, Omeroglu G, Meterissian S, Omeroglu A, et al: Stromal gene expression predicts clinical outcome in breast cancer. Nat Med. 14:518–527. 2008. View Article : Google Scholar | |
Ma XJ, Dahiya S, Richardson E, Erlander M and Sgroi DC: Gene expression profiling of the tumor microenvironment during breast cancer progression. Breast Cancer Res. 11:R72009. View Article : Google Scholar : PubMed/NCBI | |
Radvanyi L, Singh-Sandhu D, Gallichan S, Lovitt C, Pedyczak A, Mallo G, Gish K, Kwok K, Hanna W, Zubovits J, et al: The gene associated with trichorhinophalangeal syndrome in humans is overexpressed in breast cancer. Proc Natl Acad Sci USA. 102:11005–11010. 2005. View Article : Google Scholar : PubMed/NCBI | |
Zhao H, Langerød A, Ji Y, Nowels KW, Nesland JM, Tibshirani R, Bukholm IK, Kåresen R, Botstein D, Børresen-Dale AL, et al: Different gene expression patterns in invasive lobular and ductal carcinomas of the breast. Mol Biol Cell. 15:2523–2536. 2004. View Article : Google Scholar : PubMed/NCBI | |
Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, Speed D, Lynch AG, Samarajiwa S, Yuan Y, et al METABRIC Group: The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 486:346–352. 2012.PubMed/NCBI | |
Györffy B, Lanczky A, Eklund AC, Denkert C, Budczies J, Li Q and Szallasi Z: An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients. Breast Cancer Res Treat. 123:725–731. 2010. View Article : Google Scholar | |
Moore-Smith L and Pasche B: TGFBR1 signaling and breast cancer. J Mammary Gland Biol Neoplasia. 16:89–95. 2011. View Article : Google Scholar : PubMed/NCBI | |
Mienaltowski MJ and Birk DE: Structure, physiology, and biochemistry of collagens. Adv Exp Med Biol. 802:5–29. 2014. View Article : Google Scholar : PubMed/NCBI | |
Kliese N, Gobrecht P, Pachow D, Andrae N, Wilisch-Neumann A, Kirches E, Riek-Burchardt M, Angenstein F, Reifenberger G, Riemenschneider MJ, et al: miRNA-145 is downregulated in atypical and anaplastic meningiomas and negatively regulates motility and proliferation of meningioma cells. Oncogene. 32:4712–4720. 2013. View Article : Google Scholar | |
Ewald JA, Downs TM, Cetnar JP and Ricke WA: Expression microarray meta-analysis identifies genes associated with Ras/MAPK and related pathways in progression of muscle-invasive bladder transition cell carcinoma. PLoS One. 8:e554142013. View Article : Google Scholar : PubMed/NCBI | |
Hammoda GE, El-Hefnawy SM, Abdou AG and Abdallah RA: Human epidermal growth factor receptor-3 mRNA expression as a prognostic marker for invasive duct carcinoma not otherwise specified. J Clin Diagn Res. 11:XC01–XC05. 2017.PubMed/NCBI | |
Engels CC, Fontein DB, Kuppen PJ, de Kruijf EM, Smit VT, Nortier JW, Liefers GJ, van de Velde CJ and Bastiaannet E: Immunological subtypes in breast cancer are prognostic for invasive ductal but not for invasive lobular breast carcinoma. Br J Cancer. 111:532–538. 2014. View Article : Google Scholar : PubMed/NCBI | |
Kim SH, Hwang KA and Choi KC: Treatment with kaempferol suppresses breast cancer cell growth caused by estrogen and triclosan in cellular and xenograft breast cancer models. J Nutr Biochem. 28:70–82. 2016. View Article : Google Scholar : PubMed/NCBI | |
Barcus CE, Keely PJ, Eliceiri KW and Schuler LA: Prolactin signaling through focal adhesion complexes is amplified by stiff extracellular matrices in breast cancer cells. Oncotarget. 7:48093–48106. 2016. View Article : Google Scholar : PubMed/NCBI | |
Ramos EA, Silva CT, Manica GC, Pereira IT, Klassen LM, Ribeiro EM, Cavalli IJ, Braun-Prado K, Lima RS, Urban CA, et al: Worse prognosis in breast cancer patients can be predicted by immunohistochemical analysis of positive MMP-2 and negative estrogen and progesterone receptors. Rev Assoc Med Bras (1992). 62:774–781. 2016. View Article : Google Scholar | |
Sharangpani GM, Joshi AS, Porter K, Deshpande AS, Keyhani S, Naik GA, Gholap AS and Barsky SH: Semi-automated imaging system to quantitate estrogen and progesterone receptor immunoreactivity in human breast cancer. J Microsc. 226:244–255. 2007. View Article : Google Scholar : PubMed/NCBI | |
Yamamoto-Ibusuki M, Yamamoto Y, Yamamoto S, Fujiwara S, Fu P, Honda Y, Iyama K and Iwase H: Comparison of prognostic values between combined immunohistochemical score of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, Ki-67 and the corresponding gene expression score in breast cancer. Mod Pathol. 26:79–86. 2013. View Article : Google Scholar | |
Monroe GR, Harakalova M, van der Crabben SN, Majoor-Krakauer D, Bertoli-Avella AM, Moll FL, Oranen BI, Dooijes D, Vink A, Knoers NV, et al: Familial Ehlers-Danlos syndrome with lethal arterial events caused by a mutation in COL5A1. Am J Med Genet A. 167:1196–1203. 2015. View Article : Google Scholar : PubMed/NCBI | |
Fang M, Adams JS, McMahan BL, Brown RJ and Oxford JT: The expression patterns of minor fibrillar collagens during development in zebrafish. Gene Expr Patterns. 10:315–322. 2010. View Article : Google Scholar : PubMed/NCBI | |
Sun M, Connizzo BK, Adams SM, Freedman BR, Wenstrup RJ, Soslowsky LJ and Birk DE: Targeted deletion of collagen V in tendons and ligaments results in a classic Ehlers-Danlos syndrome joint phenotype. Am J Pathol. 185:1436–1447. 2015. View Article : Google Scholar : PubMed/NCBI | |
Sun M, Chen S, Adams SM, Florer JB, Liu H, Kao WW, Wenstrup RJ and Birk DE: Collagen V is a dominant regulator of collagen fibrillogenesis: Dysfunctional regulation of structure and function in a corneal-stroma-specific Col5a1-null mouse model. J Cell Sci. 124:4096–4105. 2011. View Article : Google Scholar : PubMed/NCBI | |
Luparello C, Sheterline P, Pucci-Minafra I and Minafra S: A comparison of spreading and motility behaviour of 8701-BC breast carcinoma cells on type I, I-trimer and type V collagen substrata. Evidence for a permissive effect of type I-trimer collagen on cell locomotion. J Cell Sci. 100:179–185. 1991.PubMed/NCBI | |
Rubiś P, Wiśniowska-Smiałek S, Wypasek E, Rudnicka-Sosin L, Hlawaty M, Leśniak-Sobelga A, Kostkiewicz M and Podolec P: 12-month patterns of serum markers of collagen synthesis, transforming growth factor and connective tissue growth factor are similar in new-onset and chronic dilated cardiomyopathy in patients both with and without cardiac fibrosis. Cytokine. 96:217–227. 2017. View Article : Google Scholar | |
Margetts PJ, Bonniaud P, Liu L, Hoff CM, Holmes CJ, West-Mays JA and Kelly MM: Transient overexpression of TGF-{beta}1 induces epithelial mesenchymal transition in the rodent peritoneum. J Am Soc Nephrol. 16:425–436. 2005. View Article : Google Scholar |