CoChat
Sign Up
Cited by 341Cancer Cells and MetastasisCellular Mechanics and Interactions3D Printing in Biomedical Research

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Impact of the 3D Microenvironment on Phenotype, Gene Expression, and EGFR Inhibition of Colorectal Cancer Cell Lines

Open access
Luca, Anna C., Mersch, Sabrina, Deenen, René, Schmidt, Stephan, Messner, Isabelle, Schäfer, Karl-Ludwig, Baldus, Stephan E., Huckenbeck, Wolfgang, Piekorz, Roland P., Knoefel, Wolfram T., Krieg, Andreas, Stoecklein, Nikolas H.·2013·PLoS ONE
DOI 10.1371/journal.pone.0059689PMC PMC3608563
Open this paper in CoChat — free accountOpen PDF

Abstract

Three-dimensional (3D) tumor cell cultures grown in laminin-rich-extracellular matrix (lrECM) are considered to reflect human tumors more realistic as compared to cells grown as monolayer on plastic. Here, we systematically investigated the impact of ECM on phenotype, gene expression, EGFR signaling pathway, and on EGFR inhibition in commonly used colorectal cancer (CRC) cell lines. LrECM on-top (3D) culture assays were performed with the CRC cell lines SW-480, HT-29, DLD-1, LOVO, CACO-2, COLO-205 and COLO-206F. Morphology of lrECM cultivated CRC cell lines was determined by phase contrast and confocal laser scanning fluorescence microscopy. Proliferation of cells was examined by MTT assay, invasive capacity of the cell lines was assayed using Matrigel-coated Boyden chambers, and migratory activity was determined employing the Fence assay. Differential gene expression was analyzed at the transcriptional level by the Agilent array platform. EGFR was inhibited by using the specific small molecule inhibitor AG1478. A specific spheroid growth pattern was observed for all investigated CRC cell lines. DLD-1, HT-29 and SW-480 and CACO-2 exhibited a clear solid tumor cell formation, while LOVO, COLO-205 and COLO-206F were characterized by forming grape-like structures. Although the occurrence of a spheroid morphology did not correlate with an altered migratory, invasive, or proliferative capacity of CRC cell lines, gene expression was clearly altered in cells grown on lrECM as compared to 2D cultures. Interestingly, in KRAS wild-type cell lines, inhibition of EGFR was less effective in lrECM (3D) cultures as compared to 2D cell cultures. Thus, comparing both 2D and 3D cell culture models, our data support the influence of the ECM on cancer growth. Compared to conventional 2D cell culture, the lrECM (3D) cell culture model offers the opportunity to investigate permanent CRC cell lines under more physiological conditions, i.e. in the context of molecular therapeutic targets and their pharmacological inhibition.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0059689

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Morphology of 2D and lrECM 3D cultivated CRC cells. A) Growth morphology of CRC cell lines cultivated under 2D (upper panel) and lrECM 3D on-top assay conditions (lower panel). Cells cultivated in 3D condition either show a round (CACO-2), mass (DLD-1, HT-29, SW-480) or a grape-like morphology (COLO 205, COLO-206F, LOVO) in phase contrast images. Scale bars: 100 µm. B) Confocal laser scanning fluorescence microscopy images of CRC spheroids. Spheroids were grown in lrECM 3D microenvironments for seven days. Subsequent to isolation, the membranous EpCAM protein (green) was stained using Alexa Fluor® 488 goat anti-mouse IgG. Nuclei were counterstained with DAPI (blue). Scale bars 10 µm.
Figure 1 Morphology of 2D and lrECM 3D cultivated CRC cells. A) Growth morphology of CRC cell lines cultivated under 2D (upper panel) and lrECM 3D on-top assay conditions (lower panel). Cells cultivated in 3D condition either show a round (CACO-2), mass (DLD-1, HT-29, SW-480) or a grape-like morphology (COLO 205, COLO-206F, LOVO) in phase contrast images. Scale bars: 100 µm. B) Confocal laser scanning fluorescence microscopy images of CRC spheroids. Spheroids were grown in lrECM 3D microenvironments for seven days. Subsequent to isolation, the membranous EpCAM protein (green) was stained using Alexa Fluor® 488 goat anti-mouse IgG. Nuclei were counterstained with DAPI (blue). Scale bars 10 µm.CC BY · PubMed Central
Figure 2 The influence of lrECM microenvironment on cell proliferation, apoptosis and cell migration in CRC cell lines. Cells were cultivated under 2D or 3D conditions. A) Cell viability was measured 48 h later using the MTT assay. Values represent the mean absorbance at 540 nm ± SD of triplicates. White bars represent cells cultured on plastic (2D); black bars cells cultured on lrECM (3D). Two-tailed P-values were calculated by the Mann-Whitney-U test (** indicates a P-value <0.001; ns = not significant). B) Cell proliferation was quantified by calculation of the percentage of cells with BrdU incorporation and the total number of DAPI-positive cells per field (at least three randomly selected fields per coverslip). The data presented are the mean ± SD from three replicates. White bars represent cells cultured on plastic (2D); black bars cells cultured on lrECM (3D). Two-tailed P-values were calculated by the paired t-test (* indicates a P-value <0.05; ns = not significant). C) The percentage of apoptotic cells was calculated as the ratio of DAPI-positive cells with fragmented nuclei and all DAPI-positive cells. The data presented are the mean ± SD from three replicates.White bars represent cells cultured on plastic (2D); black bars cells cultured on lrECM (3D). Two-tailed P-values were calculated by the paired t-test (ns = not significant). D) Migration of CRC cell lines was quantified using the fence assay. Data represent means ± SD of three independent experiments. White bars represent cell lines classified as mass type; black bars the grape-like class.
Figure 2 The influence of lrECM microenvironment on cell proliferation, apoptosis and cell migration in CRC cell lines. Cells were cultivated under 2D or 3D conditions. A) Cell viability was measured 48 h later using the MTT assay. Values represent the mean absorbance at 540 nm ± SD of triplicates. White bars represent cells cultured on plastic (2D); black bars cells cultured on lrECM (3D). Two-tailed P-values were calculated by the Mann-Whitney-U test (** indicates a P-value <0.001; ns = not significant). B) Cell proliferation was quantified by calculation of the percentage of cells with BrdU incorporation and the total number of DAPI-positive cells per field (at least three randomly selected fields per coverslip). The data presented are the mean ± SD from three replicates. White bars represent cells cultured on plastic (2D); black bars cells cultured on lrECM (3D). Two-tailed P-values were calculated by the paired t-test (* indicates a P-value <0.05; ns = not significant). C) The percentage of apoptotic cells was calculated as the ratio of DAPI-positive cells with fragmented nuclei and all DAPI-positive cells. The data presented are the mean ± SD from three replicates.White bars represent cells cultured on plastic (2D); black bars cells cultured on lrECM (3D). Two-tailed P-values were calculated by the paired t-test (ns = not significant). D) Migration of CRC cell lines was quantified using the fence assay. Data represent means ± SD of three independent experiments. White bars represent cell lines classified as mass type; black bars the grape-like class.CC BY · PubMed Central
Figure 3 Differential gene expression in 2D and lrECM cultivated cells. A) Hierarchical cluster analysis of 2D and lrECM 3D on-top cultivated CRC cells lines. A total of 23000 transcripts were clustered. Each cell line builds an independent cluster for itself. With the exception for LOVO and HT-29, within each cell line two separate clusters were observed, due to the cultivation method of the cells: 2D versus lrECM 3D on-top. B) Heatmap of 225 significantly differentially regulated genes between 2D and lrECM 3D on-top cultivated cells. (Mann-Whitney-U test, P corr <0.05). C) Literature-based network analysis of significantly differentially regulated genes (Natural Language Processor Engine, GeneSpring GX 10.5). Known interactions of 14 from a total of 225 significantly differentially regulated genes are shown. A red arrow indicates the increased expression of each gene in lrECM cultivation conditions while a green arrow indicates a reduced gene expression.
Figure 3 Differential gene expression in 2D and lrECM cultivated cells. A) Hierarchical cluster analysis of 2D and lrECM 3D on-top cultivated CRC cells lines. A total of 23000 transcripts were clustered. Each cell line builds an independent cluster for itself. With the exception for LOVO and HT-29, within each cell line two separate clusters were observed, due to the cultivation method of the cells: 2D versus lrECM 3D on-top. B) Heatmap of 225 significantly differentially regulated genes between 2D and lrECM 3D on-top cultivated cells. (Mann-Whitney-U test, P corr <0.05). C) Literature-based network analysis of significantly differentially regulated genes (Natural Language Processor Engine, GeneSpring GX 10.5). Known interactions of 14 from a total of 225 significantly differentially regulated genes are shown. A red arrow indicates the increased expression of each gene in lrECM cultivation conditions while a green arrow indicates a reduced gene expression.CC BY · PubMed Central
Figure 4 The 3D microenvironment impairs the regulation of genes involved in proliferation. Total RNA was isolated from cells cultivated in 2D and 3D microenvironments. Quantitative RT-PCR was performed and differences in gene expression levels were calculated using the 2−ΔΔCT method. The mean fold change in expression of the target gene in 2D or 3D culture conditions was calculated using 2−ΔΔCT, where ΔΔCT = (CT Target – C GAPDH)culture condition - (CT Target - C GAPDH)2D. 2−ΔΔCT-values of all CRC cell lines (n = 7) were pooled and are presented as a box plot. A) Indicates genes being downregulated in 3D microenvironments, whereas B) shows upregulated genes. Two-tailed P-values were calculated by the Mann-Whitney-U test (*** indicates a P-value <0.0001).
Figure 4 The 3D microenvironment impairs the regulation of genes involved in proliferation. Total RNA was isolated from cells cultivated in 2D and 3D microenvironments. Quantitative RT-PCR was performed and differences in gene expression levels were calculated using the 2−ΔΔCT method. The mean fold change in expression of the target gene in 2D or 3D culture conditions was calculated using 2−ΔΔCT, where ΔΔCT = (CT Target – C GAPDH)culture condition - (CT Target - C GAPDH)2D. 2−ΔΔCT-values of all CRC cell lines (n = 7) were pooled and are presented as a box plot. A) Indicates genes being downregulated in 3D microenvironments, whereas B) shows upregulated genes. Two-tailed P-values were calculated by the Mann-Whitney-U test (*** indicates a P-value <0.0001).CC BY · PubMed Central
Figure 5 KEGG pathway analysis of genes distinguishing cells grown in 2D and lrECM culture conditions. Shown are all categories (pathways/hits) represented by three or more differently regulated genes when comparing 2D and lrECM 3D culture conditions.
Figure 5 KEGG pathway analysis of genes distinguishing cells grown in 2D and lrECM culture conditions. Shown are all categories (pathways/hits) represented by three or more differently regulated genes when comparing 2D and lrECM 3D culture conditions.CC BY · PubMed Central
Figure 6 Influence of culture conditions on EGFR signaling molecules and EGFR inhibition of CRC cells. A) Schematic representation of the EGFR signalling pathway. B) Immunoblot analysis of AKT, phospho-AKT (S473), p44/42 MAPK and phospho p44/42 MAPK (Thr202/Tyr204). Equal amounts of total protein isolated from cells cultivated as 2D or lrECM 3D cultures were analyzed by SDS/PAGE/immunoblotting as indicated. β−actin served as loading control. SKBR3 served as a positive control for the expression of EGFR signaling molecules. C) Expression of the EGFR protein in 2D or lrECM (3D) cultivated CACO-2, DLD-1, HT-29, SW-480, LOVO, COLO 205 and COLO-206F cells. Cell lysate (40 µg protein per lane) was analyzed by SDS/PAGE/immunoblotting using monoclonal anti EGFR antibody. β-actin served as loading control. D–G) Treatment of 2D or lrECM cultivated CRC cells with AG1478. Two-tailed P-values were calculated by the paired t-test (** indicates a P-value <0.001; *** indicates a P-value <0.0001; ns = not significant). CACO-2 cells were treated for 48 h (D) or 96 h (E) with different concentrations of AG1478 as indicated. F–G) DLD-1 and HT-29 cells were incubated with the EGFR inhibitor AG1478 for 48 h.
Figure 6 Influence of culture conditions on EGFR signaling molecules and EGFR inhibition of CRC cells. A) Schematic representation of the EGFR signalling pathway. B) Immunoblot analysis of AKT, phospho-AKT (S473), p44/42 MAPK and phospho p44/42 MAPK (Thr202/Tyr204). Equal amounts of total protein isolated from cells cultivated as 2D or lrECM 3D cultures were analyzed by SDS/PAGE/immunoblotting as indicated. β−actin served as loading control. SKBR3 served as a positive control for the expression of EGFR signaling molecules. C) Expression of the EGFR protein in 2D or lrECM (3D) cultivated CACO-2, DLD-1, HT-29, SW-480, LOVO, COLO 205 and COLO-206F cells. Cell lysate (40 µg protein per lane) was analyzed by SDS/PAGE/immunoblotting using monoclonal anti EGFR antibody. β-actin served as loading control. D–G) Treatment of 2D or lrECM cultivated CRC cells with AG1478. Two-tailed P-values were calculated by the paired t-test (** indicates a P-value <0.001; *** indicates a P-value <0.0001; ns = not significant). CACO-2 cells were treated for 48 h (D) or 96 h (E) with different concentrations of AG1478 as indicated. F–G) DLD-1 and HT-29 cells were incubated with the EGFR inhibitor AG1478 for 48 h.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 31 references

Research works printed but not linked: 1

  1. PD Yurchenco, 1992, Laminin forms an independent network in basement membranes, J Cell Biol, 117, 1119

Cited by

Sorted by citations

Items 101–200 of 339

Related

See all

Metadata

Authors
Luca, A. C., Mersch, S., Deenen, R., Schmidt, S., Messner, I., Schäfer, K.-L., Baldus, S. E., Huckenbeck, W., Piekorz, R. P., Knoefel, W. T., Krieg, A., & Stoecklein, N. H.
Affiliations
  • Düsseldorf University Hospital (DE)
  • Heinrich Heine University Düsseldorf (DE)
Corresponding author
  • Krieg, Andreas
  • Stoecklein, Nikolas H.
ORCID
Venue
PLoS ONE
Publisher
Public Library of Science (PLoS)
Published
2013-03-26
Volume
8
Issue
3
Pages
e59689
ISSN
1932-6203 (ISSN-L)
DOI
10.1371/journal.pone.0059689
PMC
PMC3608563
OpenAlex
W1983051794
Cited by
341
References
31
Citations by year
2026: 11 · 2025: 14 · 2024: 18 · 2023: 29 · 2022: 27 · 2021: 39 · 2020: 40 · 2019: 29 · 2018: 25 · 2017: 33 · 2016: 29 · 2015: 18 · 2014: 25 · 2013: 4
FWCI
13.56
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Univ. Duesseldorf: Duesseldorfer Dokumenten- und Publikationsserver (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
Deutsche Forschungsgemeinschaft (SFB728)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Cells and Metastasis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Cellular Mechanics and Interactions
  • Physical Sciences › Engineering › Biomedical Engineering › 3D Printing in Biomedical Research
Keywords
colorectal cancer, 3D cell culture, tumor microenvironment, EGFR signaling, EGFR inhibition, AG1478, gene expression, cell morphology, spheroid formation, cell invasion, cell migration, KRAS wild-type, 2D vs 3D culture comparison, colorectal cancer cell lines
MeSH terms
Extracellular Matrix, Humans, Laminin, Phenotype, Colorectal Neoplasms, Gene Expression Regulation, Neoplastic, Spheroids, Cellular, Cell Culture Techniques, Cell Line, Tumor, Protein Kinase Inhibitors, Cell Proliferation, Tumor Microenvironment, ErbB Receptors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review