3D culture of Her2+ breast cancer cells promotes AKT to MAPK switching and a loss of therapeutic response
© The Author(s). 2016
Received: 13 October 2015
Accepted: 22 May 2016
Published: 1 June 2016
The Her2 receptor is overexpressed in up to 25 % of breast cancers and is associated with a poor prognosis. Around half of Her2+ breast cancers also express the estrogen receptor and treatment for such tumours can involve both endocrine and Her2-targeted therapies. However, despite preclinical data supporting the effectiveness of these agents, responses can vary widely in the clinical setting. In light of the increasing evidence pointing to the interplay between the tumour and its extracellular microenvironment as a significant determinant of therapeutic sensitivity and response here we investigated the impact of 3D matrix culture of breast cancer cells on their therapeutic sensitivity.
A 3D Matrigel-based culture system was established and optimized for the growth of ER+/Her2+ breast cancer cell models. Growth of cells in response to trastuzumab and endocrine agents in 3D culture versus routine monolayer culture were assessed using cell counting and Ki67 staining. Endogenous and trastuzumab-modulated signalling pathway activity in 2D and 3D cultures were assessed using Western blotting.
Breast cancer cells in 3D culture displayed an attenuated response to both endocrine agents and trastuzumab compared with cells cultured in traditional 2D monolayers. Underlying this phenomenon was an apparent matrix-induced shift from AKT to MAPK signalling; consequently, suppression of MAPK in 3D cultures restores therapeutic response.
These data suggest that breast cancer cells in 3D culture display a reduced sensitivity to therapeutic agents which may be mediated by internal MAPK-mediated signalling. Targeting of adaptive pathways that maintain growth in 3D culture may represent an effective strategy to improve therapeutic response clinically.
Keywords3D culture Her2+ breast cancer MAPK AKT Therapeutic response
Breast cancer is the most frequently diagnosed female cancer globally and is the leading cause of cancer death in women . In the UK, the current lifetime risk of developing the disease for women is currently 1 in 8 [2, 3]. Overexpression or amplification of the Her2 gene product occurs in around 20 % of all breast cancers and around half of Her2+ tumours will also co-express the estrogen receptor (ER) . Despite the effectiveness of endocrine and Her2-targeted therapies for such tumours in pre-clinical, two-dimensional models, the clinical response to these treatments can vary greatly with therapeutic resistance a limiting factor; resistant tumours frequently present as metastases with associated poor prognosis highlighting the need for more effective treatments in the early phases of the disease.
Increasing evidence now points to the interplay between the tumour and its surrounding microenvironment as a significant determinant of therapeutic sensitivity and response [5, 6] with tumour-stroma interactions demonstrated to influence tissue response to ionizing radiation , chemotherapeutics and more recently targeted agents [8, 9]. The influence of stroma on the therapeutic response to cytotoxic drugs has been investigated through studies using matrix-rich 3D culture environments where tumour cells grown in such a manner exhibit resistance to doxorubicin compared to responses in traditional 2D culture . Furthermore, the migration of fibrosarcoma cells in 2D culture is decreased by doxorubicin chemotherapy whereas this effect is completely abolished when grown in the context of a 3D collagen-rich matrix .
Tumour cell-extracellular matrix interactions may attenuate drug response through alterations in internal signalling pathways, possibly as a result of integrin activation. For example, matrix-induced β-1 integrin activation results in suppression of chemotherapy-induced apoptosis and enhanced tumourigenecity  and promotes resistance to cisplatin . The interaction of cells with laminin, mediated through a range of alpha and beta integrins, is also able to enhance tumourigenecity and decrease sensitivity to cytotoxic agents . Importantly, clinical studies have shown that ECM composition of tumour correlates with lack of clinical response to chemotherapy and reduced overall survival [15, 16]. Thus a better understanding of how tumours interact with their surrounding microenvironment is crucial for the development of more effective clinical treatment strategies. Here we have investigated the impact of the extracellular matrix on the therapeutic response and signaling pathway activity of ER+/Her2+ breast cancer cells with a view to identifying potential targets to improve therapeutic response.
Routine cell culture reagents (RPMI 1640 media, Foetal Calf Serum (FCS), 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), Trypsin/EDTA, Amphotericin B (Fungizone), penicillin/streptomycin) were purchased from Invitrogen (Paisley, UK). Basement membrane matrix (Matrigel) and BD Cell Recovery Solution (Matrisperse) were obtained from BD Biosciences (supplied by VWR International Ltd, UK). The MEK inhibitor, U0126, and AKT inhibitor, MK-2206 2HCL, were from Promega Uk and Stratech Scientific Ltd, UK respectively. Enhanced chemiluminescence Supersignal® Western blotting detection reagents were purchased from Pierce and Warriner Ltd (Cheshire, UK). Antibodies recognizing total and phospho forms of Akt, MAPK, Erk1/2 and erbB2 were from Cell Signaling Technology (MA, USA); anti-GAPDH, anti-β-actin and secondary HRP-conjugated antibodies were from Sigma-Aldrich (Poole, Dorset, UK). The total-ER (clone 6 F11) mouse anti-human primary antibody was from NovoCastra.
Cell lines and reagents
Two ER+/Her2+ cell models, BT474 and MDAMB361, were obtained from ATCC (American Type Culture Collection) and routinely maintained in RPMI supplemented with 10 % FCS, penicillin (100units/ml), streptomycin (100ug/ml) and amphotericin B (2.5ug/ml). Experiments utilising endocrine agents were performed in steroid-depleted culture conditions (phenol red-free RPMI containing 5 % charcoal-stripped FCS and antibiotics as above).
Measurement of cell growth in 2D cell culture
Cells were harvested using trypsin/EDTA and reseeded into 48-well plates at a density of 20,000 cells/well in fresh media containing treatments as indicated. Cells were allowed to grow for 10 days with medium changes every 3 days. At the end of the experiment, the medium was removed and 0.5 ml of trypsin/EDTA was added to each well. Once the cells were in suspension, cells were drawn into a 5 ml syringe through a 25G needle three times to obtain a single-cell suspension. The wells were then washed with 0.5 ml of fresh Isoton II solution and this was then drawn up into the syringe. This final wash was repeated twice to give a total volume of 2 mls in the syringe. The solution was then added to 8 mls of Isoton II solution in a counting vial to make up a volume of 10mls. Cells were then counted (three counts per well) using a Coulter™ Multisizer II.
Three-dimensional (3D) cell culture
For analysis of cellular growth in 3D culture, we used a modified version of the ‘3D on-top’ assay reported by Lee et al.  optimised for the cell lines under test here (Additional file 1: Figure S1A). Using this method allowed for the imaging of cell colonies in a single plane and cellular retrieval for counting assays. The 3D culture protocol was performed as follows: The wells of a 48-well plate were pre-coated in phenol red-free Matrigel (80ul/well) and incubated at 37 °C for 30 min to allow gel formation. Cells were harvested using trypsinisation and pelleted by centrifugation at 115 g before resuspension in fresh media and seeding into Matrigel-coated at a final concentration of 0.20 × 105 cells/cm2. The cells were allowed to settle and attach to the Matrigel for 30 min at 37 °C following which they were overlaid with 1.2 mls of fresh media containing 10 % (v/v) Matrigel.. Cell cultures were maintained for up to 10 days, replacing the Matrigel-medium mixture every 3 days.
Recovery of cells from 3D culture for experimental analysis
Cells were recovered from the 3D cultures for counting, immunocytochemical analysis or Western blotting using a modification of a previously reported method  and Additional file 2: S1B. Briefly, the medium was removed and each well was washed 3x with ice cold PBS. 10ul matrisperse (BD Biosciences) was added to each well and well contents gently recovered by scraping with a 1 ml syringe plunger. Recovered cells, along with two further well washings with matrisperse, were collected in universal tubes and left on ice for 60 min. At this stage, the cells extracted from 3D matrix are still in colonies and could be processed for cellblocks and immunocytochemistry. For cell counting and immunoblotting the following steps were performed. Universal tubes were spun at 5000 rpm for 5 min and the supernatant discarded. The cell pellets were re-suspended in 0.5 ml of trypsin/EDTA and incubated at 37 °C for 5 min prior to the addition of 1.5 ml of fresh Isoton II solution. This solution was drawn into a 5 ml syringe through a 25G needle three times to obtain a single-cell suspension. The solution was then added to 8 mls of Isoton II solution in a counting vial to make up a volume of 10mls. Cells were then counted using a Coulter™ Multisizer II. At least three counts were taken from each well.
Cells were grown as monolayers or as 3D cultures in 35 mm dishes ± treatments then washed twice with ice-cold PBS and lysed with Triton-X100 lysis buffer (sodium orthovandate 2 mM, phenylmethylsulfonyl fluoride 1 mM, sodium fluoride 25 mM, sodium molybdate 10 mM, phenylarsine 20uM, and leupeptin 10ug/ml and aprotinin 8ug/ml in 50mMTris-HCL, pH8.0 containing 0.1 % TX-100). Cells were then collected using a cell scraper and transferred to a 1.5 ml micro-centrifuge tube, incubated on ice for 15 min before centrifugation at 13000 rpm, 15 min, 4 °C. For cells growing in 3D culture. the matrigel was first depolymerized using matrisperse prior to addition of lysis buffer. The supernatants were removed and stored at −20 °C until required. After protein determination (BioRad DC protein assay kit), equal amounts of protein were incubated with 2x sample loading buffer (4 % SDS, 10 % 2-mercaptoethanol, 20 % glycerol, 0.004 % bromophenol blue in 0.125 M Tris–HCl pH 6.8) and heated to 100C for 5 min. Cell lysates, together with molecular weight standards, were then separated on 8 % gels using SDS-PAGE. After transfer onto nitrocellulose membranes and blocking with 5 % milk (in TBS), membranes were probed for specific target proteins using appropriate antibodies.
Preparation of cell pellet blocks for immunostaining
2D and 3D cultures of BT474 and MDAMB361 cultures were prepared and grown in 35 mm dishes ± treatments as indicated for 7 days. For standard (2D) cultures the media was aspirated and the cells gently removed using a cell scraper and re-suspended in phenol red RPMI. For 3D cultures, cell colonies were dissociated from the Matrigel™ Matrix using BD cell recovery solution in order to detach colonies whilst retaining their three-dimensional integrity.
The cells from 2D and colonies from 3D were then centrifuged at 1000 rpm for 5 min and fixed immediately in 4 % formaldehyde/PBS (1 hr room temp). Cells were then transferred to a Eppendorfs where they were allowed to settle under gravity for a further 50 min (in 4 % formaldehyde/PBS). For each sample, the supernatant was removed and a 1:1 ratio of molten 12 % Noble agar was added to the cell suspension. This was quickly transferred by Pasteur pipette into an inverted 2 ml syringe with its tip cut off, and clamped in a retort stand which functioned as a mould. The agar was left overnight to set. A cell plug was extruded from the syringe and cut into 5 mm sections placed into a standard Histo-TEK® cassette. These were fixed for a further 2 h in a 4 % formaldehyde/PBS solution.
The pellets were then dehydrated in a series of graded ethanol solutions (10 to 100 % v/v) for 45 min each (overnight for 70 %), cleared in Xylene for 2 h, left in a molten paraffin wax bath for 2 h (under vacuum for 30 min) before being embedded in paraplast medium to create a block. At least three pellets were assembled into each block which was subsequently sectioned at 5 μm to check integrity and density of cells in the pellets using H&E staining.
A 3 % aqueous solution of hydrogen peroxide was added to the sections for 5 min to block endogenous peroxidases following which sections were washed in PBS for a further 5 min. Antigen retrieval was performed by pressure-cooking sections in 2 l, 0.01 M Sodium Citrate Buffer (pH6) for 2 min. Slides were cooled under running tap water for 10 min then washed in PBS for 5 min.
For measurement of the total-ER, erbB2 and Ki67, sections were blocked with 20 % Normal Human Serum (ER) or 1 % BSA (erbB2) in PBS for 10 min prior to incubation with primary antibodies (dilutions in PBS were ER:1/80 and erbB2:1/350) for 1 h. After washing in PBS, a peroxidase labelled secondary antibody (Dako Mouse EnVision) was added and sections incubated for 2 h at room temperature. Slides were washed in PBS before addition DAB (Dako) for 10 min and rinsing in distilled water. Sections were counterstained with 0.5 % methyl green, allowed to air dry and then mounted.
For the Ki67 assay, a modified protocol was performed. Antigen retrieval was performed by microwaving sections in 1 l Citric Acid Buffer (2.1 g/l, pH 6) for 30 min at 560 W and cooling slides under running tap water for 10 min. The primary antibody was applied (Dako MIB (M7240) at 1/50 dilution in 0.1 % BSA/PBS) for 2 h, room temperature. Washing and secondary antibody incubation was performed as for the ER assay above. Ki67 stained sections were counterstained using 4 % haematoxylin.
Comparisons of treatment effects on cell growth were performed using a paired t-test. Data from the cell proliferation assays were analyzed using GraphPad Prism (GraphPad Software Inc., San Diego, CA) to calculate the concentration of drug required for 50 % inhibition of cell growth (GI50) by nonlinear regression curve fitting with sigmoidal dose response (variable-slope) parameter.
Breast cancer cells growing in 3D culture retain characteristics of 2D cultures
We subsequently wished to explore whether 3D culture affected expression of cellular receptors that are the key therapeutic targets in these breast cancer models namely the Her2 and ER. Immunocytochemical staining of these markers did not reveal any loss or change in cellular localization when cells were cultured in 3D compared with 2D (Fig. 1c, d).
Growth of ER+/Her2+ breast cancer cells in 3D culture attenuates their response to endocrine agents and trastuzumab
IC50 data for tamoxifen, fulvestrant and trastuzumab in 2D versus 3D culture conditions
Mean GI 50 (nM)
Combination treatment of ER+/Her2+ cell lines using endocrine agent and trastuzumab is attenuated in 3D culture
Ki67 H-Scores of BT474 and MDA361 cells in 2D versus 3D culture in response to endocrine agents and trastuzumab
A (BT474): Ki67 antigen staining- expressed as % control
H + T
H + F
B (MDAMB361): Ki67 antigen staining- expressed as % control
H + T
H + F
Culture of breast cancer cells in 3D promotes AKT to MAPK pathway switching
MAPK pathway activity is further increased in response to treatment in 3D culture
Inhibition of MAPK activity in 3D culture restores sensitivity to endocrine and Her2-targeted agents
In this study we have investigated the impact of 3D culture on breast cancer cell sensitivity to therapeutic agents in order to better understand how drug response may be influenced by the tumour microenvironment. Our findings suggest that, for Her2+/ER+ luminal breast cancer models, their therapeutic response to the Her2 targeting agent, trastuzumab, and also to anti-ER therapies (tamoxifen and fulvestrant) is attenuated in 3D matrix enriched culture compared with 2D monolayer cultures.
2D culture systems are frequently employed to determine the effectiveness of targeted therapies in vitro although in vivo responses often fail to mirror this. For example, in vitro sensitivity to alkylating agents does not necessarily correlate with in vivo responsiveness , an effect that also holds true to targeted agents such as imatinib, where the degree of inhibition of proliferation obtained in vivo was substantially lower than that achieved in vitro with similar concentrations . Our data and that of others thus suggest that better modelling of the in vivo environment should be considered when testing therapeutic agents in vitro. Whilst the in vivo tumour microenvironment is complex, one element of this with significant impact on therapeutic sensitivity appears to be the surrounding protienatious matrix. Indeed, a number of studies demonstrate that the tumour-matrix interaction plays an important role in governing the chemosensitivity of tumours and may also confer resistance to chemotherapeutic agents [10–14]. 3D matrix enriched models more closely mimic the in vivo conditions required for the signaling and behaviour of both normal mammary cells and also breast cancer cells and this has been confirmed by several studies. [21–24], when compared with 2D models. An in-depth proteomic analysis of Matrigel has revealed a complex and intricate mixture of proteins consisting of structural proteins, growth factors and their binding proteins as well as several other proteins of roles that are not clear in cell culture . This study suggests that it will be challenging to replace Matrigel in a variety of cell culture and experimental assays due to its complexity. By using traditional 2D monolayer cultures, essential cellular functions that are present in tissues are missed and the use of three-dimensional cultures bridges this gap between cell culture and live tissue . Our data here point to the importance of using appropriate in vitro models to identify the therapeutic efficacy of targeted agents in preclinical studies. Although complex models, which simulate several aspects of the tumour microenvironment, including three-dimensional culture systems, have been developed to evaluate the efficacy of therapeutic agents, these have not been adapted for routine use in high-throughput pre-clinical screening to maximize the selection of agents likely to display clinical effectiveness.
Our data points to a role for the ECM as a determinant of trastuzumab response as do other studies that demonstrate a lack of response to Her2 targeted agents when breast cancer cells are grown in 3D, laminin-rich cultures . One of the underlying mechanisms here may be ECM-mediated activation of integrin signalling [12, 13] since targeting the β1 integrin, a critical mediator of laminin binding is able to restore therapeutic sensitivity to antiHer2 agents in this study. Whilst inhibition of specific integrins can improve chemotherapy response in 3D culture models, it does represent a challenge therapeutically as multiple integrin members are expressed, many of which will be involved in the tumour cells’ interaction with the diverse protein components of the ECM. Thus an alternative strategy would be to target points of convergence of signals originating from multiple integrin members. Our data suggests that inhibition of MEK signalling, known to be activated following stimulation of multiple integrin members [28–30], might represent such an approach. We show here that inhibition of MEK alone had an inhibitory effect on 3D cell growth whereas Akt inhibition did not, supporting a role for the MEK pathway in this process as we observed an increase in MEK activity when cells were grown in 3D as opposed to 2D culture. Conversely, Akt activity in 3D was reduced. Other groups have additionally demonstrated enhanced sensitivity to MEK inhibitors in 3D culture using models of triple negative breast cancer .
ErbB receptors are able to signal through a number of pathways including Akt and MAPK to regulate cell proliferation, migration, differentiation and apoptosis. erbB2 itself has been implicated in both activation of Akt and MAPK/MEK signalling which may reflect its dimerization state in the cell models under investigation. In our study it was interesting to note that despite erbB activity in both BT474 and MDA361 cells, only modest MAPK kinase activity was seen in monolayer culture in contrast to Akt. However, clinical studies have suggested that erbB2 and MEK signalling are linked via Pak1 (p21-activated kinase) , a context that involved tumour cell-matrix interactions and is supported by our 3D data. Moreover, the MEK pathway is required for maintenance of tumour cell dormancy in 3D in vitro cultures and in vivo . Together these data further implicate MAPK/MEK as a pathway with relevance in the microenvironmental context.
Our findings further support other studies which suggest that the differential response to therapeutic agents seen in matrix enriched 3D cultures are a result of distinct downstream signaling cascade activation by cell-ECM interactions. Culture of both BT474 and MDAMB361 cell lines in 3D models promoted AKT to MAPK switching with a further in crease in MAPK activity observed in response to treatment with either anti-Her2 or anti-ER agents. Enhanced MEK activity is reported in in human breast cancers compared with benign breast tissue  whilst survival analysis has shown a positive correlation between elevated MAPK activity in primary breast cancers and decreased relapsed free survival . Moreover, MEK pathway activity is associated with shortened duration of anti-hormonal response and decreased patient survival  supporting to our pre-clinical observations. As such, these data suggest that the MEK pathway may represent a compensatory mechanism that drives cell growth in the presence of targeted therapy. Interestingly, we observed differential sensitivity to endocrine agents between the two cell models despite them both being a Her2+/ER+ phenotype. In BT474 cells, which appeared intrinsically insensitive to endocrine agents, MAPK inhibition alongside endocrine agent resulted in a significant improvement in therapeutic response whereas no additional benefit was seen when the MAPK inhibitor was combined with herceptin. Corresponding changes in MAPK activity seemed to underlie this since only endocrine agent plus MEKi were able to further reduce MAPK activity. Moreover, these data also support others’ which suggest presence of the Her2 can limit endocrine response through MAPK signalling and modulation of ER function . In the microenvironmental context, augmentation of MAPK activity, likely to occur through multiple mechanisms including integrins and erbB receptors, could further attenuate endocrine sensitivity. However the case for MDAMB361 models is less clear. Whilst also ER+/Her2+, these cells were intrinsically more sensitive to endocrine agents than BT474 models despite having lower Her2 activity in comparison. Intriguingly, treatment of MDAMB361 cells with herceptin resulted in further elevation of MAPK activity; consequently, and largely in contrast to endocrine agents, inclusion of the MAPK kinase pathway inhibitor proved beneficial in terms of inhibition of cell growth.
Thus, our data suggest that MEK inhibition in 3D culture can partially restore sensitivity to therapeutic agents and that this may be particularly useful in the context of de novo endocrine-resistant ER+/Her2+ cancers.
Our data here point to the importance of the tumour microenvironment as a determinant of therapeutic sensitivity and suggests that inhibitors of MEK signalling may represent a valuable therapeutic consideration in this context. The recent development of several MEK inhibitors with potent in vivo anticancer activity have been described  which may hold potential for future clinical application.
AKT, Protein Kinase B; ATCC, American Type Culture Collection; ECM, Extracellular matrix; ER, Oestrogen Receptor; FCS, Foetal Calf Serum; Her2, Human Epidermaal Growth Factor Receptor 2; MAPK, Mitogen Activated Protein Kinase; MEK, MAPK/ERK kinase.
The authors wish to acknowledge technical staff of the Breast Cancer Molecular Pharmacology Group for assistance in cell culture processes.
This work was supported by the In The Pink cancer charity (SG and CS).
Availability of data and materials
The datasets supporting the conclusions of this article are available in the figshare repository (m9.figshare.3203782) and can be accessed at https://figshare.com/s/64392a330de056ec7d27.
SG performed experimental analysis, data interpretation, manuscript preparation. CS performed experimental analysis and provided statistical advice. PBL critically reviewed the manuscript, provided scientific input and project direction. SH conceived the project, supervised experimental work, assisted in data interpretation, manuscript preparation and editing. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
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- Edwards BK, Noone AM, Mariotto AB, Simard EP, Boscoe FP, Henley SJ, Jemal A, Cho H, Anderson RN, Kohler BA et al. Annual report to the nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120(9):1290–314.View ArticlePubMedPubMed CentralGoogle Scholar
- CRUK. Cancer Research UK. Cancer Research UK: Breast cancer incidence statistics; 2013.Google Scholar
- Sasieni PD, Shelton J, Ormiston-Smith N, Thomson CS, Silcocks PB. What is the lifetime risk of developing cancer?: the effect of adjusting for multiple primaries. Br J Cancer. 2011;105(3):460–5.View ArticlePubMedPubMed CentralGoogle Scholar
- Onitilo AA, Engel JM, Greenlee RT, Mukesh BN. Breast cancer subtypes based on ER/PR and Her2 expression: comparison of clinicopathologic features and survival. Clin Med Res. 2009;7(1–2):4–13.View ArticlePubMedPubMed CentralGoogle Scholar
- Hu M, Polyak K. Molecular characterisation of the tumour microenvironment in breast cancer. Eur J Cancer. 2008;44(18):2760–5.View ArticlePubMedPubMed CentralGoogle Scholar
- Park CC, Zhang HJ, Yao ES, Park CJ, Bissell MJ. Beta1 integrin inhibition dramatically enhances radiotherapy efficacy in human breast cancer xenografts. Cancer Res. 2008;68(11):4398–405.View ArticlePubMedPubMed CentralGoogle Scholar
- Barcellos-Hoff MH, Park C, Wright EG. Radiation and the microenvironment - tumorigenesis and therapy. Nat Rev Cancer. 2005;5(11):867–75.View ArticlePubMedGoogle Scholar
- McMillin DW, Delmore J, Weisberg E, Negri JM, Geer DC, Klippel S, Mitsiades N, Schlossman RL, Munshi NC, Kung AL et al. Tumor cell-specific bioluminescence platform to identify stroma-induced changes to anticancer drug activity. Nat Med. 2010;16(4):483–9.View ArticlePubMedPubMed CentralGoogle Scholar
- McMillin DW, Delmore J, Negri J, Ooi M, Klippel S, Miduturu CV, Gray NS, Richardson PG, Anderson KC, Kung AL et al. Microenvironmental influence on pre-clinical activity of polo-like kinase inhibition in multiple myeloma: implications for clinical translation. PLoS One. 2011;6(7):e20226.View ArticlePubMedPubMed CentralGoogle Scholar
- Li Q, Chow AB, Mattingly RR. Three-dimensional overlay culture models of human breast cancer reveal a critical sensitivity to mitogen-activated protein kinase kinase inhibitors. J Pharmacol Exp Ther. 2010;332(3):821–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Millerot-Serrurot E, Guilbert M, Fourre N, Witkowski W, Said G, Van Gulick L, Terryn C, Zahm JM, Garnotel R, Jeannesson P. 3D collagen type I matrix inhibits the antimigratory effect of doxorubicin. Cancer Cell Int. 2010;10:26.View ArticlePubMedPubMed CentralGoogle Scholar
- Sethi T, Rintoul RC, Moore SM, MacKinnon AC, Salter D, Choo C, Chilvers ER, Dransfield I, Donnelly SC, Strieter R et al. Extracellular matrix proteins protect small cell lung cancer cells against apoptosis: a mechanism for small cell lung cancer growth and drug resistance in vivo. Nat Med. 1999;5(6):662–8.View ArticlePubMedGoogle Scholar
- Berube M, Talbot M, Collin C, Paquet-Bouchard C, Germain L, Guerin SL, Petitclerc E. Role of the extracellular matrix proteins in the resistance of SP6.5 uveal melanoma cells toward cisplatin. Int J Oncol. 2005;26(2):405–13.PubMedGoogle Scholar
- Fridman R, Giaccone G, Kanemoto T, Martin GR, Gazdar AF, Mulshine JL. Reconstituted basement membrane (matrigel) and laminin can enhance the tumorigenicity and the drug resistance of small cell lung cancer cell lines. Proc Natl Acad Sci U S A. 1990;87(17):6698–702.View ArticlePubMedPubMed CentralGoogle Scholar
- Bergamaschi A, Tagliabue E, Sorlie T, Naume B, Triulzi T, Orlandi R, Russnes HG, Nesland JM, Tammi R, Auvinen P et al. Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome. J Pathol. 2008;214(3):357–67.View ArticlePubMedGoogle 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. 2008;14(5):518–27.View ArticlePubMedGoogle Scholar
- Lee GY, Kenny PA, Lee EH, Bissell MJ. Three-dimensional culture models of normal and malignant breast epithelial cells. Nat Methods. 2007;4(4):359–65.View ArticlePubMedPubMed CentralGoogle Scholar
- Arnold JT, Kaufman DG, Seppala M, Lessey BA. Endometrial stromal cells regulate epithelial cell growth in vitro: a new co-culture model. Hum Reprod. 2001;16(5):836–45.View ArticlePubMedGoogle Scholar
- Teicher BA, Herman TS, Holden SA, Wang YY, Pfeffer MR, Crawford JW, Frei E, 3rd. Tumor resistance to alkylating agents conferred by mechanisms operative only in vivo. Science. 1990;247(4949 Pt 1):1457–61.View ArticlePubMedGoogle Scholar
- Gambacorti-Passerini CB, Rossi F, Verga M, Ruchatz H, Gunby R, Frapolli R, Zucchetti M, Scapozza L, Bungaro S, Tornaghi L et al. Differences between in vivo and in vitro sensitivity to imatinib of Bcr/Abl + cells obtained from leukemic patients. Blood Cells Mol Dis. 2002;28(3):361–72.View ArticlePubMedGoogle Scholar
- Bissell MJ, Rizki A, Mian IS. Tissue architecture: the ultimate regulator of breast epithelial function. Curr Opin Cell Biol. 2003;15(6):753–62.View ArticlePubMedPubMed CentralGoogle Scholar
- Petersen OW, Ronnov-Jessen L, Howlett AR, Bissell MJ. Interaction with basement membrane serves to rapidly distinguish growth and differentiation pattern of normal and malignant human breast epithelial cells. Proc Natl Acad Sci U S A. 1992;89(19):9064–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Weigelt B, Bissell MJ. Unraveling the microenvironmental influences on the normal mammary gland and breast cancer. Semin Cancer Biol. 2008;18(5):311–21.View ArticlePubMedPubMed CentralGoogle Scholar
- Yamada KM, Cukierman E. Modeling tissue morphogenesis and cancer in 3D. Cell. 2007;130(4):601–10.View ArticlePubMedGoogle Scholar
- Hughes CS, Postovit LM, Lajoie GA. Matrigel: a complex protein mixture required for optimal growth of cell culture. Proteomics. 2010;10(9):1886–90.View ArticlePubMedGoogle Scholar
- Pampaloni F, Reynaud EG, Stelzer EH. The third dimension bridges the gap between cell culture and live tissue. Nat Rev Mol Cell Biol. 2007;8(10):839–45.View ArticlePubMedGoogle Scholar
- Weigelt B, Lo AT, Park CC, Gray JW, Bissell MJ. HER2 signaling pathway activation and response of breast cancer cells to HER2-targeting agents is dependent strongly on the 3D microenvironment. Breast Cancer Res Treat. 2010;122(1):35–43.View ArticlePubMedPubMed CentralGoogle Scholar
- Defilles C, Montero MP, Lissitzky JC, Rome S, Siret C, Luis J, Andre F, Rigot V. alphav integrin processing interferes with the cross-talk between alphavbeta5/beta6 and alpha2beta1 integrins. Biology of the cell/under the auspices of the European Cell Biology Organization. 2011;103(11):519–29.View ArticlePubMedGoogle Scholar
- Scarlett A, Parsons MP, Hanson PL, Sidhu KK, Milligan TP, Burrin JM. Thyroid hormone stimulation of extracellular signal-regulated kinase and cell proliferation in human osteoblast-like cells is initiated at integrin alphaVbeta3. J Endocrinol. 2008;196(3):509–17.View ArticlePubMedGoogle Scholar
- Yang M, Xiao LW, Liao EY, Wang QJ, Wang BB, Lei JX. The role of integrin-beta/FAK in cyclic mechanical stimulation in MG-63 cells. International journal of clinical and experimental pathology. 2014;7(11):7451–9.PubMedPubMed CentralGoogle Scholar
- Arias-Romero LE, Villamar-Cruz O, Pacheco A, Kosoff R, Huang M, Muthuswamy SK, Chernoff J. A Rac-Pak signaling pathway is essential for ErbB2-mediated transformation of human breast epithelial cancer cells. Oncogene. 2010;29(43):5839–49.View ArticlePubMedPubMed CentralGoogle Scholar
- El Touny LH, Vieira A, Mendoza A, Khanna C, Hoenerhoff MJ, Green JE. Combined SFK/MEK inhibition prevents metastatic outgrowth of dormant tumor cells. J Clin Invest. 2014;124(1):156–68.View ArticlePubMedPubMed CentralGoogle Scholar
- Sivaraman VS, Wang H, Nuovo GJ, Malbon CC. Hyperexpression of mitogen-activated protein kinase in human breast cancer. J Clin Invest. 1997;99(7):1478–83.View ArticlePubMedPubMed CentralGoogle Scholar
- Mueller H, Flury N, Eppenberger-Castori S, Kueng W, David F, Eppenberger U. Potential prognostic value of mitogen-activated protein kinase activity for disease-free survival of primary breast cancer patients. International journal of cancer Journal international du cancer. 2000;89(4):384–8.View ArticlePubMedGoogle Scholar
- Gee JM, Robertson JF, Ellis IO, Nicholson RI. Phosphorylation of ERK1/2 mitogen-activated protein kinase is associated with poor response to anti-hormonal therapy and decreased patient survival in clinical breast cancer. International journal of cancer Journal international du cancer. 2001;95(4):247–54.View ArticlePubMedGoogle Scholar
- Emde A, Mahlknecht G, Maslak K, Ribba B, Sela M, Possinger K, Yarden Y. Simultaneous inhibition of estrogen receptor and the HER2 pathway in breast cancer: effects of HER2 abundance. Transl Oncol. 2011;4(5):293–300.View ArticlePubMedPubMed CentralGoogle Scholar
- Isshiki Y, Kohchi Y, Iikura H, Matsubara Y, Asoh K, Murata T, Kohchi M, Mizuguchi E, Tsujii S, Hattori K et al. Design and synthesis of novel allosteric MEK inhibitor CH4987655 as an orally available anticancer agent. Bioorg Med Chem Lett. 2011;21(6):1795–801.View ArticlePubMedGoogle Scholar