Background
Breast cancer is the leading cause of cancer-related death among women worldwide. It is a heterogeneous disease with divergent molecular alterations and cellular changes. Distant metastasis is the final stage of breast cancer progression. The pathobiological features and the exact mechanism are far from being completely understood.
Keratins (KRTs) are considered structural proteins ranging in sizes from 40 to 76 kDa. They are the major component of intermediate filaments (IFs) in the intracytoplasmic cytoskeleton of epithelial and endothelial cells. IFs insert into the electron-dense desmosomal plaques and connect to other IFs to provide tensile strength to cells. Aberrant expression in various cancers makes KRTs useful as biomarkers for differential diagnoses and metastatic status. Recent studies suggest that KRTs in cancer cells are not only epithelial marker proteins but are also mediators capable of interacting with a range of proteins to regulate signaling networks associated with cell death, survival, proliferation, migration, invasion and metastasis [
1‐
3].
KRT13, a 54 kDa type I keratin that often pairs with type II keratin 4, is found in the suprabasal layers of non-cornified stratified squamous epithelia of the oral cavity, tonsils, larynx, esophagus, lower genital tract and transitional urothelium [
4,
5], where KRT13 is a major component of the basal and intermediate cells and enriched in prostatic tubule-initiating cells [
6,
7]. KRT13 expression can be regulated by factors including calcium, nuclear receptor ligands such as retinoids and 1α, 25-dihydroxyvitamin D3, and estrogens or selective estrogen receptor modulators [
8,
9]. Point mutation of KRT13 was shown to be correlated with autosomal dominant disorder white sponge nevus [
10]. Dysregulated KRT13 expression was found in carcinomas of the tongue, head and neck, uterine cervix, mouth, ovary, breast, bladder cancer, esophageal cancer, and prostate cancer [
11,
12].
KRT intermediate filaments are involved in the translation of environmental cues into modifications of gene expression [
13]. KRT is physically linked to nuclear membrane and desmosomes, where plakoglobin (PG) is a multifunctional protein. Also known as γ-catenin, PG is a paralog of β-catenin, both belonging to the Armadillo protein family. As a major component of the adherens junctions and desmosomes, PG coordinates with desmoplakin (DSP) to anchor intermediate filaments to desmosomes [
13]. PG also participates in cell signaling regulation, but with an antagonistic effect to β-catenin. While β-catenin has a well-defined oncogenic potential through the Wnt signaling pathway, PG exhibits tumor/metastasis suppressor activity [
14]. Recent evidence suggests that PG in the cytoplasm and nucleus can regulate tumor progression and metastasis [
15]. PG may implement its regulatory function by competing with β-catenin, interacting with intracellular proteins, or sequestering transcription factors [
16,
17].
We previously reported that KRT13 promotes prostate cancer bone and brain metastases through RANKL-independent pathways [
18] by an undefined mechanism. In this study, we explored the mechanism by which KRT13 promotes breast cancer progression and metastasis. Overexpression of KRT13 led to increased breast cancer cell proliferation, migration and invasion in vitro, and tumor formation and metastasis in vivo, while knockdown of KRT13 resulted in alleviating effects in vitro and in vivo. Importantly, we report for the first time that KRT13 directly interacts with PG/DSP complexes and alters the expression and nuclear translocation of PG, thus modulating downstream c-Myc-signaling. Our findings provide a potential new therapeutic target in breast cancer progression and metastasis.
Methods
Cell culture
Human breast cancer cell lines MCF7 (indolent, low endogenous KRT13 expression) and HCC1954 cells (aggressive, high endogenous KRT13 expression) were provided by Dr. X. J. Cui at Cedars-Sinai Medical Center (CSMC). MCF7 cells were maintained in DMEM (ThermoFisher Scientific, Waltham, MA) and HCC1954 was maintained in RPMI1640 (ThermoFisher Scientific). Both culture media were supplemented with 10% fetal bovine serum (Atlanta Biologicals, Flowery Branch, GA), 100 IU/ml penicillin, and 100 μg/ml streptomycin. All cells were maintained at 37 °C in a humidified atmosphere with 5% CO2.
Plasmids, siRNA transfection and viral transduction
For KRT13 overexpression, a cDNA containing the full-length open reading frame of human KRT13 (NM_153490) was subcloned into pLVX-AcGFP1-N1 (pLV) (Clontech, CA) by introducing EcoR I and BamH I sites. The construct of pLVX-AcGFP1-N1-KRT13 (pLV-KRT13) was confirmed by DNA sequencing. The plasmid DNA was transfected to the 293 T cells to produce lentiviral particles, following the manufacturer’s instructions (System Biosciences, Mountain View, CA). MCF7 cells were transduced with the lentivirus and selected with puromycin (2 µg/ml for 2 weeks). For shRNA-mediated knockdown, non-targeting control or KRT13 shRNA lentiviral particles (Santa Cruz Biotechnology, Dallas, Texas) were used to infect the HCC1954 cells. The plasmid pcDNA3-c-Myc (Addgene, Cambridge, MA) was used to generate c-Myc-overexpressing cells. To silence c-Myc, cells were transfected with c-Myc siRNA (Santa Cruz Biotechnology) using Lipofectamine 2000 transfection reagent (Invitrogen, Carlsbad, CA).
Cell proliferation and behavioral assays
To determine growth rates, breast cancer cells were seeded on 24-well plates for 5 days, and cell numbers from triplicate wells were counted daily with a TC20 automatic cell counter (Bio-Rad, Hercules, CA). Cancer cell migration was examined in triplicate transwells (8 μm pore size) coated with collagen I. For invasion assays, transwells were coated with collagen I, and each well was overlaid with growth factor reduced Matrigel (BD Biosciences, San Jose, CA) as previously described [
19]. After incubation at 37 °C for 24–48 h, cells on the upper surface of the filters were removed by cotton swab, and cells that had invaded and migrated to the lower surface were fixed with 10% formaldehyde and stained with 0.5% crystal violet. After washing, stain was eluted with Sorensen’s solution. The absorbance of each well was measured at 590 nm.
Cell fractionation and western blot analysis
Cytoplasmic and nuclear extracts or whole cell lysates were prepared with NE-PER nuclear and cytoplasmic extraction reagents (ThermoFisher Scientific). Western blot analysis was performed as previously described [
19]. The primary antibodies used were to KRT13 (EPR3671, Abcam, Cambridge, UK or B-2, Santa Cruz Biotechnology), CD44 (156-3C11, Cell Signaling, Danvers, MA), c-Myc (D84C12, Cell Signaling), ALDH1A1 (B-5, Santa Cruz Biotechnology), Nanog (5A10, Santa Cruz Biotechnology), PG (A-6, Santa Cruz Biotechnology), DSP [EPR4383(2), Abcam], Actin (AC-15, Santa Cruz Biotechnology) and Lamin B (C-20, Santa Cruz Biotechnology). Immunoblots were subjected to morphometric analysis by Image Studio Software (LI-COR, Lincoln, NE).
Quantitative reverse transcription and polymerase chain reaction (qRT-PCR) and RNA sequencing (RNA-seq) analyses
Total RNA was isolated using the RNeasy Mini Kit (Qiagen, Hilden, Germany). For RNA-seq analyses, duplicate samples were submitted to University of California Los Angeles (UCLA) Clinical Microarray Core for RNA-seq analysis. The RNA-seq data were first subjected to differentially gene expression with the DESeq2 program. Gene set enrichment analysis was then performed. For correlation study, RNA-seq gene expression pattern was compared to breast cancer subtypes of The Cancer Genome Atlas (
http://cancergenome.nih.gov). To assess correlation between breast cancer subtypes and KRT13 overexpression cells, we compared expression centroids of the five defined breast cancer subtypes [
20,
21] with the KRT13 overexpressing MCF7 cells. Unsupervised clustering with Pearson’s correlation was performed to display the similarity in the heatmap with dendrogram. To analyze specific gene expression, qRT-PCR was conducted with experimental settings as we previously reported. Sequences of the primer pairs are listed in Additional file
1: Table S1.
Clinical specimens
Formalin-fixed and paraffin-embedded tissue specimens including 41 primary, 11 bone and 10 brain metastatic breast cancer tissues were obtained from West China Hospital, Chengdu, China. Handling of tissue specimens conformed to the policies and practices of the institutions. The use of the specimens was approved by the Institutional Research Board of the CSMC (IRB: Pro00054328).
Immunohistochemical analyses
Our immunohistochemical (IHC) staining protocol is previously published [
22]. Primary antibodies to KRT13 (ERP3671, Abcam), PG (A-6, Santa Cruz Biotechnology), and c-Myc (D84C12, Cell Signaling) were used. For this study, images of stained sections were scanned with a Keyence BZ-X710 microscope (Itasca, IL). The stains were scored with combined percentage of positive cells and intensity as reported [
23].
For immunofluorescence staining, sections were stained with Alexa Fluor 594‐conjugated goat anti‐rabbit IgG (H + L) or Alexa Fluor 488‐conjugated goat anti‐mouse IgG (H + L) secondary antibodies (ThermFisher Scientific). Sections were further counterstained with 4′,6-diamidino-2-phenylindole (DAPI) in mounting medium (Vector Laboratories, Burlingame, CA) and examined by Zeiss Axio Observer Z1 fluorescence microscope.
Multiplexed quantum dot labeling (mQDL) analysis was performed as we previously reported [
24]. Tissue sections were sequentially incubated with antibodies to KRT13, PG and c-Myc. Areas of interest were defined with manual segmentation by a pathologist (M. S. Lewis).
Flow cytometry
Flow cytometric analyses were conducted as described previously [
23]. Cultured cells at 80% confluence were prepared in single cell suspension and fixed in 4% formaldehyde, washed in phosphate buffered saline (PBS), resuspended in PBS containing 1% BSA, and incubated with APC-conjugated anti-CD44 (IM7, Biolegend) and PE-conjugated anti-CD24 (ML5, Biolegend) antibodies at 4 °C for 30 min. Matched APC- or PE- conjugated isotypes were used as negative controls.
Mammosphere assay
Cells were plated in ultra-low attachment 96-well plates (Corning Inc., Corning, NY) in serum-free DMEM/F12 medium (ThermoFisher Scientific) supplemented with 20 ng/ml epidermal growth factor (ThermoFisher Scientific), 10 ng/ml basic fibroblast growth factor (Pepro Tech, Rocky Hill, NJ), 5 µg/ml insulin (VWR, Radnor, PA), 1 × B-27 supplement (ThermoFisher Scientific) and 0.4% bovine serum albumin (Sigma, St. Louis, MO). For each experimental group, 500 cells in 100 µl medium were plated to each of 10 wells. After cultured for a week [
25], spheres were counted and documented with phase contrast microscopy. Each study was repeated for three times.
Co-immunoprecipitation (co-IP) analysis
Cell lysates (50 µg) were precleared by incubating with 1 µg rabbit/mouse control IgG in 20 µl Protein A/G PLUS-Agarose suspension (Santa Cruz Biotechnology) at 4 °C for 1 h. After centrifugation, the supernatant was incubated with primary antibodies at 4 °C overnight, and then with 20 µl of Protein A/G PLUS-Agarose at 4 °C for 2 h. Immunoprecipitates were collected and rinsed four times with cell lysis buffer. Half of each sample was submitted to the Mass Spectrometry and Biomarker Discovery core at CSMC for interactome analysis, and the remaining half was used to verify the interactome results by western blot.
In vivo experiments
All animal procedures were performed according to a protocol approved by the Institutional Animal Care and Use Committee (IACUC) of the CSMC as previously described [
18,
19]. MCF7-KRT13 or HCC1954-shKRT13 cells were tagged for luciferase reporter expression and inoculated orthotopically to the fat pads of mammary glands (3 × 10
6 cells/100 µl PBS containing 50% Matrigel) or intracardially to the left ventricle (1 × 10
6 cells/50 µl PBS) of 6- to 8-week-old female Fox Chase SCID Beige mice (Charles River, Wilmington, MA). Tumor volume and metastasis were monitored and assessed weekly by bioluminescence imaging (BLI) using an IVIS® Spectrum or Lumina XR Optical Imaging System. A Scanco viva CT 40 system was used to examine skeletal lesions. At the end of the studies, mice were euthanized, and tumor tissues and organs were harvested for histopathological analysis.
Statistical analysis
All assays were done in triplicates for each of the independent experiments. Differences between groups were analyzed using Student’s t test (two groups) or one-way ANOVA (three or more groups). For Kaplan–Meier survival analysis, statistical significance was determined by the log-rank test. Other data were analyzed using GraphPad software (GraphPad Prism version 5.01 for Windows). Results are expressed as the mean ± SD. The p value < 0.05 was considered statistically significant.
Discussion
Breast cancer metastasis is a complex multistep pathologic process. A deeper understanding of the process is critical for improving therapeutic outcomes. KRTs are intermediate filament proteins supporting structural integrity and functions of cells. Recent studies suggest that aberrant expression of KRTs is associated with cancer progression and metastasis. For instance, KRT19 was shown to be a cancer stem cell marker in hepatocellular carcinomas [
28], associated with poor overall survival [
29]. KRT14 was positive in leader tumor cell clusters which disseminate collectively in breast cancer metastasis [
30]. In this study, we identified KRT13 as a novel cancer marker and an oncogenic promoter. Overexpression of KRT13 markedly enhanced breast cancer cell growth, migration, and invasion in vitro (Fig.
1) and promoted tumorigenesis and metastasis in athymic mice (Fig.
2). Conversely, knockdown of KRT13 reduced proliferation and aggressive behaviors (Figs.
1 and
2). These findings unveil for the first time the important role of KRT13 in promoting breast cancer progression and metastasis. The role is particularly relevant to breast cancer treatment, because KRT13 is a target gene of estrogen receptor α activation, while both estrogen and tamoxifen behave as antagonists of the KRT13 gene [
4‐
6].
Recent studies suggested that breast cancer is a stem cell disease, with cancer stem cells critical for cancer dissemination [
31,
32]. KRT13 may be associated with stemness because its expression is characteristically localized in suprabasal layers and enriched in prostatic tubule-initiating cells [
4‐
6]. KRT13 plays essential roles in maintaining stem cell homeostasis and symmetric self-renewal in the prostate epithelial layer [
33]. In this study, KRT13 induced stem cell phenotypes in MCF7 breast cancer cells (Fig.
3), and increased expression of stemness-related genes of CD44, c-Myc, ALDH1A1 and Nanog. KRT13 promoted the CD44
+CD24
− phenotype, a combination of breast cancer stem cell markers associated with invasion and poor prognosis [
34,
35]. KRT13 also induced the formation of mammospheres and increased self-renewal capability. These studies thus suggested KRT13 as a stemness-related mediator contributing to progression and dissemination.
The proto-oncogene c-Myc plays a key role in tumor progression [
36,
37]. Its oncogenic activity is associated with poor prognosis [
38] and is considered to drive a stem-like phenotype in breast cancer [
39]. In our study, KRT13-induced stemness, behavioral changes, and xenograft tumor growth and metastasis could be attributed to c-Myc dysregulation. To prove that KRT13 functions through c-Myc up-regulation, we conducted loss and gain of c-Myc function experiments in KRT13-overexpressing and KRT13-knockdown cells, in which siRNA-mediated c-Myc suppression reversed the stemness and growth advantage, while reduced self-renewal and aggressiveness were compensated by c-Myc overexpression (Fig.
4). These results suggest that KRT13 can up-regulate c-Myc expression leading to stem cell features and aggressiveness.
Stemness and EMT in cancer cells are in tight crosstalk [
40,
41]. KRT13-overexpressing MCF7 cells undertook a less cohesive mesenchymal-like shape markedly different from the epithelial-like parental MCF7 cells (Fig.
3). KRT13 overexpression also increased the expression of mesenchymal stromal markers such as vimentin and twist, concomitantly with decreased epithelial markers of E-cadherin and claudin 7. These findings provide evidence that KRT13 activated EMT programs to increase migratory and invasive properties in MCF7 cells.
KRT13 complexed with both DSP and PG to regulate downstream signaling pathways. DSP, an obligate component of desmosomal plaques, connects the desmosomal cadherin/PG/plakophilin (PKP) complex to intermediate filaments. In human lung cancer, DSP was observed to enhance PG expression and act as a tumor suppressor [
27]. PG is also a major component of the adherens junctions and desmosomes mediating cell–cell adhesion. Loss of PG reduces cell–cell contact to promote cancer invasion and dissemination [
14,
42‐
44]. In our study, KRT13-overexpression led to decreased DSP and PG, reducing tumor suppressor functions in MCF7-KRT13 cells.
Importantly, PG may be translocated to the nucleus. Both cytoplasmic and nuclear PGs could function to suppress tumor growth and metastasis [
14,
45] by modulating the expression of genes involved in stemness, cell-cycle control and cell invasion [
16,
17]. The expressions of some important regulatory proteins, such as P53 [
15], c-Myc [
46], SOX4 [
47] and CD133 [
48], are all under PG modulation. Nuclear PG is capable of interacting with Tcf/Lef transcription factors to inhibit downstream genes in the Wnt signaling pathway, including c-Myc [
49,
50]. In our study, PG expression and nuclear translocation were reduced following KRT13-overexpression (Fig.
5). The reduced PG level may relieve inhibition of c-Myc gene expression, resulting in up-regulated c-Myc driving cancer EMT, stemness and tumor metastasis (Fig.
6). Conversely, KRT13 silencing increased PG expression and nuclear translocation, decreasing EMT, stemness, tumor growth and metastasis. This probability was further strengthened by single cell mQDL staining of clinical breast cancer tissues, which demonstrated that KRT13 expression was inversely correlated with PG, which was inversely correlated with c-Myc (Fig.
6). The molecular mechanisms by which PG regulates c-Myc levels in breast cancer cells need to be investigated further.
We reported previously that forced KRT13 expression drove prostate cancer metastasis through a RANKL-independent mechanism [
18], although RANKL-mediated signal network was shown to be associated with EMT, stemness, neuroendocrine or neuromimicry, osteomimicry and tumor cell bone colonization [
51]. In this study, we obtained results indicating that KRT13 did not affect RANKL, RANK, or OPG levels (Additional file
1: Fig. S5) in breast cancer cells, suggesting that KRT13-induced breast cancer progression and metastasis may be regulated by a RANKL-independent mechanism. On the other hand, it was surprising that KRT13-overexpression in prostate cancer cells elicited both bone and brain metastases, while no brain dissemination was detected in the breast cancer mouse model in this study, even following intracardiac inoculation. Co-incidentally, the expression of neuromimicry genes including CgA and NSE, elevated in prostate cancer KRT13-overexpresing cells, was not elevated in breast cancer MCF7-KRT13 cells (Additional file
1: Fig. S5). A detailed comparative study of KRT13 function between breast and prostate cancer is warranted.
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