Skip to main content
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Accessibility Statement
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian
  • Log in
  • My Cart

Main menu

  • Home
  • Articles
    • Current
    • Special Feature Articles - Most Recent
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • List of Issues
  • Front Matter
  • News
    • For the Press
    • This Week In PNAS
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Editorial and Journal Policies
    • Submission Procedures
    • Fees and Licenses
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Accessibility Statement
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Home
Home

Advanced Search

  • Home
  • Articles
    • Current
    • Special Feature Articles - Most Recent
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • List of Issues
  • Front Matter
  • News
    • For the Press
    • This Week In PNAS
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Editorial and Journal Policies
    • Submission Procedures
    • Fees and Licenses

New Research In

Physical Sciences

Featured Portals

  • Physics
  • Chemistry
  • Sustainability Science

Articles by Topic

  • Applied Mathematics
  • Applied Physical Sciences
  • Astronomy
  • Computer Sciences
  • Earth, Atmospheric, and Planetary Sciences
  • Engineering
  • Environmental Sciences
  • Mathematics
  • Statistics

Social Sciences

Featured Portals

  • Anthropology
  • Sustainability Science

Articles by Topic

  • Economic Sciences
  • Environmental Sciences
  • Political Sciences
  • Psychological and Cognitive Sciences
  • Social Sciences

Biological Sciences

Featured Portals

  • Sustainability Science

Articles by Topic

  • Agricultural Sciences
  • Anthropology
  • Applied Biological Sciences
  • Biochemistry
  • Biophysics and Computational Biology
  • Cell Biology
  • Developmental Biology
  • Ecology
  • Environmental Sciences
  • Evolution
  • Genetics
  • Immunology and Inflammation
  • Medical Sciences
  • Microbiology
  • Neuroscience
  • Pharmacology
  • Physiology
  • Plant Biology
  • Population Biology
  • Psychological and Cognitive Sciences
  • Sustainability Science
  • Systems Biology
Research Article

MicroRNA 4423 is a primate-specific regulator of airway epithelial cell differentiation and lung carcinogenesis

Catalina Perdomo, Joshua D. Campbell, Joseph Gerrein, Carmen S. Tellez, Carly B. Garrison, Tonya C. Walser, Eduard Drizik, Huiqing Si, Adam C. Gower, Jessica Vick, Christina Anderlind, George R. Jackson, Courtney Mankus, Frank Schembri, Carl O’Hara, Brigitte N. Gomperts, Steven M. Dubinett, Patrick Hayden, Steven A. Belinsky, Marc E. Lenburg, and Avrum Spira
PNAS November 19, 2013 110 (47) 18946-18951; https://doi.org/10.1073/pnas.1220319110
Catalina Perdomo
aDivision of Computational Biomedicine,
bGenetics and Genomics Program, and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joshua D. Campbell
aDivision of Computational Biomedicine,
cBioinformatics Graduate Program, Boston University, Boston, MA 02215;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph Gerrein
aDivision of Computational Biomedicine,
cBioinformatics Graduate Program, Boston University, Boston, MA 02215;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carmen S. Tellez
dLung Cancer Program, Lovelace Respiratory Research Institute, Albuquerque, NM 87108;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carly B. Garrison
aDivision of Computational Biomedicine,
bGenetics and Genomics Program, and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tonya C. Walser
eDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eduard Drizik
aDivision of Computational Biomedicine,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Huiqing Si
aDivision of Computational Biomedicine,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Adam C. Gower
aDivision of Computational Biomedicine,
cBioinformatics Graduate Program, Boston University, Boston, MA 02215;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jessica Vick
aDivision of Computational Biomedicine,
bGenetics and Genomics Program, and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christina Anderlind
aDivision of Computational Biomedicine,
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
George R. Jackson
fMatTek Corporation, Ashland, MA 01721; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Courtney Mankus
fMatTek Corporation, Ashland, MA 01721; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Frank Schembri
gPulmonary Center, Department of Medicine, Boston University, Boston, MA 02118;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carl O’Hara
hDepartment of Pathology and Laboratory Medicine, Boston University, Boston, MA 02118
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Brigitte N. Gomperts
eDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven M. Dubinett
eDivision of Pulmonary and Critical Care Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Patrick Hayden
fMatTek Corporation, Ashland, MA 01721; and
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven A. Belinsky
dLung Cancer Program, Lovelace Respiratory Research Institute, Albuquerque, NM 87108;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marc E. Lenburg
aDivision of Computational Biomedicine,
bGenetics and Genomics Program, and
cBioinformatics Graduate Program, Boston University, Boston, MA 02215;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Avrum Spira
aDivision of Computational Biomedicine,
bGenetics and Genomics Program, and
cBioinformatics Graduate Program, Boston University, Boston, MA 02215;
gPulmonary Center, Department of Medicine, Boston University, Boston, MA 02118;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: aspira@bu.edu
  1. Edited by John D. Minna, University of Texas Southwestern Medical Center, Dallas, TX, and accepted by the Editorial Board September 25, 2013 (received for review November 30, 2012)

See related content:

  • miR-4423 enters the lung cancer landscape
    - Nov 04, 2013
  • Article
  • Figures & SI
  • Info & Metrics
  • PDF
Loading

Significance

MicroRNAs are small noncoding RNAs that negatively regulate gene expression and have been implicated in a variety of cellular processes. Using small RNA sequencing, we identified microRNA 4423 (miR-4423) as a primate-specific microRNA whose expression is largely restricted to airway epithelium and which functions as a regulator of airway epithelium differentiation and a repressor of lung carcinogenesis. Understanding miR-4423’s role in airway development may provide insights into primate-specific aspects of airway biology and the evolution of primate-specific tumor suppressors. Moreover, this study opens the possibility that microRNAs might be useful for the early detection of lung cancer in the proximal airway and that miR-4423 mimetics might also be used as therapeutic agents to specifically target lung cancer.

Abstract

Smoking is a significant risk factor for lung cancer, the leading cause of cancer-related deaths worldwide. Although microRNAs are regulators of many airway gene-expression changes induced by smoking, their role in modulating changes associated with lung cancer in these cells remains unknown. Here, we use next-generation sequencing of small RNAs in the airway to identify microRNA 4423 (miR-4423) as a primate-specific microRNA associated with lung cancer and expressed primarily in mucociliary epithelium. The endogenous expression of miR-4423 increases as bronchial epithelial cells undergo differentiation into mucociliary epithelium in vitro, and its overexpression during this process causes an increase in the number of ciliated cells. Furthermore, expression of miR-4423 is reduced in most lung tumors and in cytologically normal epithelium of the mainstem bronchus of smokers with lung cancer. In addition, ectopic expression of miR-4423 in a subset of lung cancer cell lines reduces their anchorage-independent growth and significantly decreases the size of the tumors formed in a mouse xenograft model. Consistent with these phenotypes, overexpression of miR-4423 induces a differentiated-like pattern of airway epithelium gene expression and reverses the expression of many genes that are altered in lung cancer. Together, our results indicate that miR-4423 is a regulator of airway epithelium differentiation and that the abrogation of its function contributes to lung carcinogenesis.

  • airway epithelium development
  • microRNA discovery
  • next-generation sequencing technology
  • noncoding RNA
  • tumor suppressor

MicroRNAs are a class of small, noncoding RNAs that reduce gene expression and protein translation through complementary binding to the 3′ UTR of target genes. These small RNA species have emerged as key regulators of virtually all cellular processes, including cell growth, stress response, tissue specification, and cell differentiation (1, 2). Many microRNAs are expressed in a tissue-specific manner and directly regulate genes that are important in specifying the developmental fate of the cells in which they are expressed. For example, microRNA 449 (miR-449) is expressed specifically in columnar multiciliated airway epithelial cells and promotes the differentiation of airway ciliated cell progenitors by repressing the Delta/Notch pathway (3, 4). In addition, expression of tissue-specific microRNAs is often lost during carcinogenesis, and restoring their expression can promote the redifferentiation of cancer cells to their original tissue type, suggesting a potential avenue for cancer therapy (5, 6). Differences in microRNA expression have been associated with cancer prognosis, and recent findings suggest that microRNA expression measured in readily collected samples can be used for early cancer detection (7, 8).

Smoking is a significant risk factor for lung cancer, the most common cause of cancer-related deaths worldwide (9). Smoking induces molecular alterations throughout the respiratory tract, including the nasal, buccal, and bronchial epithelium (10, 11). We and others have previously characterized the effect of smoking on the bronchial epithelium transcriptome (12⇓⇓–15), and we have shown that microRNAs play a role in regulating these smoking-related changes in gene expression (16). We have also found that cytologically normal bronchial epithelial cells from the mainstem bronchus of smokers with and without lung cancer have marked differences in gene expression that can serve as an early detection biomarker for lung cancer (17). These data have led us to hypothesize that, as in the case of the cellular response to smoking, microRNAs might modulate cancer-associated gene expression differences in airway epithelium. Moreover, specific patterns of microRNA expression in these cells might also be able to serve as a biomarker for lung cancer detection.

In this study, we have used sequencing of small RNAs to identify microRNAs expressed in the airway epithelium in the setting of lung cancer. We report the identification and characterization of miR-4423 as a primate-specific microRNA whose expression is largely restricted to the respiratory tract epithelium and plays a role in the development of the mucociliary epithelium by promoting ciliated cell differentiation. In addition, we show that miR-4423 is decreased in the cytologically normal bronchial epithelium of smokers with lung cancer and in lung tumors, and inhibits anchorage-independent growth in lung cancer cell lines and their ability to grow as tumors in a mouse xenograft model. Together, our results suggest that miR-4423 is involved in promoting airway differentiation and its inhibition is implicated in lung carcinogenesis.

Results

Small RNA Airway Transcriptome Sequencing.

Pools of small RNA (<40 nt) from the bronchial airway epithelium of healthy never smokers, healthy current smokers, current or former smokers with lung cancer, and current or former smokers with benign lung disease (three individuals per pool; see SI Appendix, Table S1 for subject demographics) were sequenced using ABI SOLiD platform (Applied Biosystems). Each read was trimmed and aligned to human genome build 19 (hg19) using Bowtie (18) allowing up to two mismatches per read. On average, 67 million reads were obtained per sample, of which 33.2 million reads aligned to the genome, and 9.8 million reads mapped to a known microRNA precursor from release 16 of miRBase (19) (see SI Appendix, Table S1 for subject demographics and SI Appendix, Table S2 for sequence alignment statistics). A total of 488 microRNAs had expression levels of one read per million reads (RPM) or greater in at least one sample.

Computational Prediction of Unannotated MicroRNAs.

The miRDeep algorithm (20) was used to identify transcribed regions that were predicted to fold into a canonical microRNA structure. Fifty-four microRNA hairpins were identified, five of which were not previously annotated as microRNAs (miRDeep score > 50 and RPM > 5; see SI Appendix, Table S3 for a list of predicted unannotated microRNAs). A predicted microRNA precursor mapping to chromosome 1 (chr1): 85,599,489–85,599,545 (Fig. 1) was the top scoring miRDeep prediction that did not overlap a known microRNA in release 16 of miRBase, and the ninth highest scoring miRDeep prediction overall. Within the predicted precursor, miRDeep predicted two mature microRNAs, 3p and 5p (Fig. 1). Both forms are highly expressed in airway epithelium, with the 3p and 5p being the 85th (91st percentile) and 107th (89th percentile) most highly expressed mature microRNAs, respectively. Quantitative real-time PCR (qRT-PCR) was used to validate the expression of both forms of the putative microRNA in human airway epithelial cells from bronchial brushings (SI Appendix, Fig. S1). During the preparation of this manuscript, the sequence of this putative microRNA was deposited in miRBase release 17 as hsa-miR-4423, based on a small number of sequencing reads in studies that characterized the small RNA transcriptome of melanoma (two reads) and cervical tumors (one read) (21, 22). Given the low level of expression in these studies and the high level of expression in airway epithelium, we investigated the regulation, expression, and function of miR-4423 in the respiratory tract.

Fig. 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 1.

Expression and evolutionary conservation of miR-4423. (Top) A coverage plot of sequencing reads aligned to miR-4423, scaled to reads per million (RPM). (Middle) The boundaries of primary transcript as predicted by miRDeep (chr1:85599425-85599600, human genome build 19), with 5p and 3p forms shown as black boxes and predicted seed regions in red. (Bottom) Alignment of human sequence with corresponding genomic regions of nine nonhuman primates and rat (R. norvegicus) (as determined from UCSC Genome Browser MULTIZ track). The seed regions of the 5p and 3p forms of miR-4423 are highlighted in red. Matches to human reference sequence are represented as dots over light gray, mismatches in dark gray, and gaps relative to the human reference as dashes. A 4-bp insertion in the mouse lemur (M. murinus) sequence (relative to the human reference) is indicated with an asterisk. Yellow, great apes; light green, old world monkey; dark green, new world monkey; blue, prosimian; purple, nonprimate.

Conservation of miR-4423.

A multiple species alignment revealed that the genomic locations of the primary transcript and precursor of miR-4423 are highly conserved in simians, i.e., the great apes (Homo sapiens, Pan troglodytes, Gorilla gorilla, Pongo abelii), Old World monkeys (Macaca mulatta, Papio hamadryas), and New World monkeys (Saimiri boliviensis, Callithrix jacchus). The regions corresponding to the miR-4423-5p and -3p seeds are perfectly conserved in simians, with the exception of single base substitutions in the miR-4423-5p seed region of the rhesus (M. mulatta) and squirrel monkey (S. boliviensis) genomes. In contrast, the regions of the primary transcript and precursor are less well conserved in two prosimians (Microcebus murinus and Otolemur garnettii) and are not conserved among nonprimate mammals (Fig. 1). These results suggest that miR-4423 is a recently evolved microRNA.

miR-4423 Is Processed by Dicer and Argonaute in Vitro.

We did not detect expression of either form of miR-4423 or the primary transcript in the 13 lung cancer cell lines or 8 undifferentiated bronchial epithelial cell lines that we examined (SI Appendix, Tables S4 and S5). To experimentally validate whether the identified sequence of miR-4423 encodes a functional mature microRNA, H1299 cells were transfected with a plasmid expressing the miR-4423 predicted precursor sequence (including ∼200 bp of flanking region) under the control of the CMV promoter, which resulted in the expression of mature miR-4423-3p and -5p (SI Appendix, Fig. S2). Expression of both mature forms was significantly reduced when Dicer was knocked down via siRNA in H1299 cells at a level comparable to what we observed for three known microRNAs (i.e., miR-10b, miR-21, and miR-26; SI Appendix, Fig. S3 A and B), suggesting that the transcript of miR-4423 is processed through the Dicer-dependent microRNA biogenesis pathway. In addition, we examined the data of Hafner et al. (23), who sequenced RNA associated with various components of the argonaute (AGO) complex in human embryonic kidney cells (GSE21918) and found three reads that mapped uniquely to miR-4423-5p and one read that mapped uniquely to miR-4423-3p, indicating that these microRNAs can be incorporated into the AGO complex (SI Appendix, Fig. S4). The low number of reads mapping to miR-4423 is likely due to the fact that the experiment was not performed in airway epithelial cells where its expression is high. Taken together, our results validate the computational prediction that the expressed sequence is a functional microRNA.

miR-4423 Expression Is Restricted to Mucociliary Epithelium.

The extent of miR-4423 expression in 24 human tissues was assayed using qRT-PCR. Both forms of miR-4423 were expressed in the respiratory tract, with moderate expression observed in the trachea and lung and high expression observed in the nasal and bronchial epithelium (Fig. 2A). Using in situ hybridization on sections from trachea, mainstem bronchi, and second-generation bronchi from nonsmoking donors, we found that the expression of miR-4423 is primarily restricted to the airway epithelium in these tissues (Fig. 2B and SI Appendix, Fig. S5). In addition, we observed expression of both forms of miR-4423 at low levels in the ovary. We hypothesized that this was due to contamination of the ovarian sample with mucociliary epithelium from the fallopian tube. Consistent with this hypothesis, we detected expression of both miR-4423-3p and -5p in an independent sample of total RNA from fallopian tube epithelium (Fig. 2A).

Fig. 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 2.

The expression of miR-4423 is primarily restricted to mucociliary epithelium. (A) Expression of both forms of miR-4423 across 24 human tissues is detected in the respiratory tract (lung, trachea, and nasal and bronchial epithelia), ovary, and fallopian tube epithelium. (B) By in situ hybridization, miR-4423 is expressed in the epithelium of the trachea, mainstem bronchus, and second-generation bronchus. Arrowheads point to the regions with positive staining.

The miR-4423 primary transcript (pri-miR-4423) is located ∼600 bp downstream of WD repeat domain 63 (WDR63), which encodes a subunit of the inner dynein arm complex of motile eukaryotic cilia (24). Due to the close proximity of the two loci, and because the expression of WDR63 has also been reported in bronchial epithelium (25), we hypothesized that pri-miR-4423 and WDR63 are coexpressed. To test this hypothesis, qRT-PCR was used to assay the expression of pri-miR-4423, WDR63, and both mature forms of miR-4423 in the 24 human tissues. We found that the expression of WDR63 had a strong positive correlation with the expression of pri-miR-4423, suggesting that the two loci are coexpressed and that miR-4423, like WDR63, is expressed in the ciliated cells of the airway. Interestingly, the expression of pri-miR-4423 and both mature forms of miR-4423 were also highly correlated across most tissue types with a few exceptions. Most notably, we did not detect expression of miR-4423-3p or -5p in the testis, kidney, placenta, and brain, despite detecting high levels of WDR63 and pri-miR-4423 expression. These data suggest that although pri-miR-4423 is expressed in these tissues, it is not efficiently processed into the mature form (SI Appendix, Fig. S6A).

Additionally, the expression of miR-4423 together with pri-miR-4423 and WDR63 were highly induced when normal human bronchial epithelial cells (NHBEs) were differentiated into mucociliary epithelia at an air−liquid interface (ALI), beginning 6 d after the cells were raised to the ALI and continuing through day 13 (SI Appendix, Fig. S6B). The expression of miR-4423 was also strongly correlated with that of the ciliogenic regulator forkhead box J1 (FoxJ1) (SI Appendix, Fig. S7A), and this correlation was stronger than the correlation between miR-4423 expression and that of markers of goblet cells (MUC5B and MUC5AC), Clara cells (CC10), and neuroendocrine cells (ASCL1) (SI Appendix, Fig. S7B). Collectively, these data suggest that miR-4423 is expressed in the ciliated cell population of the airway epithelium.

miR-4423 Overexpression Results in an Increase in the Number of Ciliated Cells at an ALI.

To determine whether miR-4423 is functionally involved in the development of the airway epithelium, we stably overexpressed and knocked down both forms of miR-4423 in NHBE cells and differentiated them into mucociliary epithelium at an ALI. We found that overexpression of miR-4423 results in a significant increase in the number of cells expressing the ciliated cell markers FOXJ1 and beta-tubulin (β-tubulin) (Fig. 3 and SI Appendix, Fig. S8), suggesting that the ectopic expression of miR-4423 is sufficient to promote ciliated cell differentiation in the airway epithelium. However, knockdown of miR-4423 results in only a modest decrease in FOXJ1- and β-tubulin−expressing cells, indicating that either miR-4423 may not be required for ciliated cell differentiation or that the level of inhibition we were able to achieve is not sufficient to induce a miR-4423-deficient phenotype (SI Appendix, Fig. S9 A and B).

Fig. 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 3.

MiR-4423 overexpression results in an increase in the number of cells expressing ciliated cell markers. NHBE cells overexpressing miR-4423 or control were differentiated into mucociliary epithelium at an ALI. NHBE cells overexpressing miR-4423 (Upper) show substantial FOXJ1 and β-tubulin staining compared with control (Lower). Representative images shown were taken at days 9 (FOXJ1, Left) and 11 (β-tubulin, Right). Arrows are pointing to regions of positive staining.

Loss of Expression of miR-4423 Is Associated with Lung Cancer.

As the expression of miR-4423 is increased during the differentiation of mucociliated airway epithelium, we examined its expression in cytologically normal epithelial cells from mainstem bronchial brushings of smokers with (n = 5) and without (n = 4) lung cancer (see SI Appendix, Table S6 for subject demographics) and found that both the 3p and 5p forms are significantly reduced in smokers with cancer (Fig. 4A). Moreover, the expression of miR-4423-3p and -5p, along with the highly correlated expression of pri-miR-4423 and WDR63, were also significantly reduced in a large fraction of squamous carcinomas (SCC) and adenocarcinomas (ADC) relative to matched adjacent normal tissues regardless of smoking status (Fig. 4B and SI Appendix, Fig. S10 A and B). We extended these observations to the lung cancer RNA-seq dataset from The Cancer Genome Atlas (TCGA) (26), using WDR63 expression levels as a proxy for the levels of miR-4423 expression, and found that WDR63 was down-regulated in a similar proportion of SCC and ADC (SI Appendix, Fig. S10C). Interestingly, miR-4423 expression is reduced in squamous metaplasia and is reduced further in SCC compared with normal airway epithelium (SI Appendix, Fig. S11), indicating that the decrease in miR-4423 expression might be an aspect of a process that occurs early in carcinogenesis. In TCGA data, we did not observe evidence of copy number variation that could account for the loss of WDR63 expression in lung tumors (SI Appendix, Fig. S12 A and B). We did, however, observe a negative correlation between methylation levels and WDR63 expression in ADC (but not in SCC) (SI Appendix, Figs. S13 and S14). Collectively, these results suggest that miR-4423 is down-regulated in a wide range of lung tumors and in premalignant lesions.

Fig. 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 4.

MiR-4423 expression is associated with lung cancer. (A) Expression of miR-4423 was assayed in histologically normal epithelium from the mainstem bronchus of smokers with lung cancer (C) (n = 5) and smokers with benign disease of the chest (NC) (n = 4). The 3p and 5p forms of miR-4423 are significantly down-regulated in the bronchial epithelium of smokers with lung cancer compared with smokers without lung cancer (3p, P = 0.037; 5p, P = 0.045). (B) Expression of miR-4423-3p and -5p is significantly down-regulated in tumor tissue (T) compared with matched adjacent normal tissue (Adj.N) for: SCC (n = 15; 3p, P = 0.031; 5p, P = 0.01), ADC from current and former smokers (n = 10; 3p, P = 0.029; 5p, P = 0.028), and ADC from nonsmokers (n = 10; 3p, P = 0.01; 5p, P = 0.04). Error bars indicate SE, and P values were determined using Student t test in A and a paired t test in B.

miR-4423 Inhibits Anchorage-Independent Growth in Lung Cancer Cell Lines.

To investigate whether miR-4423 is an inhibitor of a cancer-associated process, miR-4423 was stably expressed in seven SCC cell lines (SW900, H1703, RH2, H2170, Skmes-1, H520, and Calu-1), and in three ADC cell lines (Caul-6, H1299, and A549). Expressing miR-4423 in Calu-6, SW900, H1703, and RH2 cells significantly decreased their ability to form colonies in soft agar (Fig. 5A), but it did not affect the anchorage-independent growth capacity of the remaining six cell lines. To characterize the biological basis of miR-4423 sensitivity with regard to anchorage-independent growth, we profiled baseline gene expression of two cell lines that were sensitive to miR-4423 in soft agar (Calu-6 and SW900) and one that was resistant (H2170). We found that genes that were expressed at higher levels in both miR-4423−sensitive cell lines relative to the miR-4423−resistant line H2170 were significantly enriched in genes important for cell differentiation, cell-to-cell contact/migration, and the cell cycle. In contrast, genes expressed at lower levels were significantly enriched for those involved in apoptosis (SI Appendix, Fig. S15).

Fig. 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 5.

MiR-4423 inhibits lung cancer anchorage-independent growth in vitro and tumor growth in vivo. (A) Soft agar assays were performed in the indicated cell lines stably transfected with either a vector that overexpresses the miR-4423 precursor or the empty parent vector as a negative control (n = 10). Overexpression of miR-4423 in four of the cell lines tested decreases the number of colonies formed in soft agar (Calu-6, P = 2.8 × 10−7; SW900, P = 2.4 × 10−5; H1703, P = 7.4 × 10−9; RH2, P = 0.001). Error bars indicate SE, and P values were determined using Student t test. (B) H1703 (SCC) cells stably overexpressing miR-4423 or a control (1 × 106) were injected s.c. into the backs of NSG mice (seven mice per group). Tumors derived from miR-4423 overexpressing cells were growth-suppressed relative to the control-derived tumors as shown in representative photographs of the tumors (Left), tumor volume over time (P = 1.55 × 10−11) (Upper Right) and tumor weight (P = 0.01) (Lower Right). (C) Phosphorylated E-cadherin staining was performed in miR-4423-overexpressing tumors and controls (H1703). Mir-4423−overexpressing tumors exhibited focal areas of positive membrane phospho-E-cadherin staining consistent with the presence of tight junctions (Lower). Phospho-E-cadherin staining was not observed in control tumors (Upper). Arrows point to regions of positive staining.

miR-4423 Suppresses Xenograft Tumor Growth.

Based on these results, we sought to determine whether miR-4423 expression can inhibit lung tumor growth in mouse xenografts. To test this hypothesis, H1703, Calu-6, and H1299 cells stably expressing miR-4423 or a control vector were injected s.c. into the backs of immunodeficient mice. We found that although miR-4423 overexpression caused a modest decrease in tumor growth in Calu-6 and H1299 cells (SI Appendix, Fig. S16), it significantly reduced the size of the tumors formed by the SCC cell line H1703 (Fig. 5B). Upon histological examination of the H1703 miR-4423−overexpressing tumors we observed foci of altered morphology. These foci, which were not observed in the control tumors, had a more structured cellular organization (SI Appendix, Fig. S17). Because E-cadherin plays an important role in cell−cell adhesion and loss of its expression can promote increased tumorigenesis by inducing anchorage-independent growth and colonization of tumor cells (27, 28), we analyzed its pattern of expression in the H1703-derived tissues. We found that the miR-4423−overexpressing tumors contained foci of increased phosphorylated E-cadherin, which were not observed in the control tumors (Fig. 5C). This result suggests that miR-4423 overexpression promotes increased formation of cell−cell adhesions and provides a possible mechanism by which it suppresses tumor growth.

Transcriptomic Consequences of miR-4423 Modulation.

To explore the mechanisms by which miR-4423 modulates airway differentiation and lung cancer associated phenotypes, we predicted potential mRNA targets of miR-4423 using the TargetscanS v5.0 (29) and Miranda v3.3a (30) algorithms on 3′ UTR sequences obtained from Ensembl and Refseq (Dataset S1). A total of 809 and 1,578 genes were predicted to be targets of miR-4423-3p and -5p, respectively, by both algorithms in both sets of 3′ UTR sequences; 181 of these genes were predicted targets of both forms. Although the seed regions of the 3p and 5p forms of miR-4423 are not shared with any other known mammalian microRNAs, we observed a 4- to 5-nucleotide overlap between the seed region of miR-4423-3p and some members of the miR-449 and miR-34 families (SI Appendix, Fig. S18A) and a significant number of shared predicted targets (SI Appendix, Fig. S18B). Interestingly, these microRNA families are conserved across vertebrates, are up-regulated during mucociliary epithelium differentiation, and are key regulators of multiciliogenesis (4, 31).

To characterize the transcriptomic effects of miR-4423 modulation, we profiled gene expression in H1299 cells transiently overexpressing miR-4423 (n = 3) or empty vector controls (n = 3) and identified 1,231 genes significantly changed [false discovery rate (FDR) q < 0.25; SI Appendix, Fig. S19A and Dataset S2]. The set of genes whose expression was reduced upon miR-4423 overexpression was enriched in genes with putative 3p and 5p binding sites (P = 0.001; Fisher’s exact test; SI Appendix, Table S7). Likewise, genes with putative binding sites for miR-4423 were enriched among genes down-regulated with miR-4423 overexpression (P < 0.001; Kolmogorov−Smirnov test; SI Appendix, Fig. S19B).

Genes whose expression was reduced after overexpression of miR-4423 were enriched in chaperone proteins [FDR q < 0.05; Database for Annotation, Visualization, and Integrated Discovery (DAVID)], including Hsp70 and Hsp40 family members, which are important in protecting cells from apoptosis and promoting anchorage-independent growth (32). Among the down-regulated predicted targets, we found members of signaling pathways critical for anchorage-independent survival and growth of cancer cells, including a catalytic subunit of phosphatidylinositol 3-kinase (PIK3CA) (33) and the SH2-containg protein, SHC1, which couples activated growth factor receptors to the Ras pathway and promotes cellular transformation (34).

In comparison with previous studies, we found that genes whose expression was altered upon miR-4423 overexpression were concordantly differentially expressed during differentiation of NHBEs at an ALI [FDR q < 0.05; gene set enrichment analysis (GSEA); SI Appendix, Fig. S20] (35). Consistent with our observation that miR-4423 expression begins at day 6 of ALI differentiation (SI Appendix, Fig S7A), we found that many of the genes altered by miR-4423 overexpression were those whose expression levels began to change specifically between days 4–8 of ALI differentiation (SI Appendix, Fig. S20). With regards to lung cancer, using a previously published gene expression study from our group (17), we found that genes that decrease upon miR-4423 overexpression are enriched among genes whose expression is increased in airway epithelium from patients with lung cancer (FDR q < 0.001; GSEA). We also found in three datasets (36⇓–38) that the genes altered upon miR-4423 overexpression were significantly enriched among genes whose expression changed in the opposite direction in lung ADC and SCC relative to adjacent normal tissue (FDR q < 0.05; GSEA; SI Appendix, Fig. S21 A and B). Together, these results suggest that miR-4423 can regulate gene expression changes that occur during both the differentiation of airway epithelium as well as lung carcinogenesis.

Discussion

This study used next-generation sequencing of small RNA from human bronchial epithelium to identify a primate-specific microRNA, miR-4423, which is expressed at high levels in airway epithelium. Although miR-4423 was previously computationally predicted to be a microRNA based on sequencing reads present at extremely low levels in other tissues (21, 22), this study represents a functional characterization and validation of this microRNA. We have shown that the production of the mature forms of miR-4423 is Dicer-dependent, supporting our assertion that the expressed sequence is indeed a functional microRNA.

The primary transcript of miR-4423 (pri-miR-4423) is situated immediately downstream of the gene WDR63, which encodes the human homolog of the dynein intermediate chain IC140 of the ciliated alga Chlamydomonas reinhardtii (24) and is therefore believed to be a subunit of the inner dynein arm complex of motile eukaryotic cilia. These two transcripts are coexpressed across a range of human tissues, and both are strongly expressed in multiciliated epithelia (lung, trachea, and nasal, bronchial, and fallopian tube epithelium), and highly induced during airway epithelial cell differentiation in concert with the ciliogenic regulator FOXJ1. However, it is intriguing that although both pri-miR-4423 and WDR63 are highly expressed in the testis, kidney, placenta, and brain, mature miR-4423-3p and -5p were not detected in these tissues. Further work is needed to determine the regulation of pri-miR-4423 maturation, and whether there are other cell types in which the expression of pri-miR-4423 is decoupled from pri-miR-4423 processing.

Based on its pattern of expression, we hypothesized that the induction of miR-4423 may be important for the establishment and/or maintenance of mucociliary epithelium. In accordance with this hypothesis, we found that the pattern of gene expression observed upon miR-4423 overexpression significantly overlaps with changes in gene expression observed during the differentiation of NHBEs into mucociliary airway epithelium at an ALI (35). In addition, we found that the overexpression of miR-4423 in NHBEs differentiated into mucociliary epithelium increases the number of cells expressing FOXJ1 and β-tubulin. Knockdown of miR-4423 in ALI cultures led to only a modest decrease in the number of FOXJ1 and β-tubulin expressing cells. An important limitation of this experiment relates to our inability to estimate the efficiency of miR-4423 knockdown, given that our method of inhibiting miR-4423 uses a single-stranded anti-microRNA that inhibits miR-4423 function without altering its expression levels.

Nonetheless, a nonessential role for miR-4423 in airway epithelium differentiation is consistent with its lack of evolutionary conservation, and suggests that this microRNA might act redundantly with other factors. Consistent with this hypothesis, we found that the seed regions and predicted mRNA targets of miR-4423 overlap with those of miR-449/miR-34 family members, which are well-studied regulators of airway epithelial differentiation. However, miR-4423 also has predicted targets that are distinct from those of miR-449/miR-34, and it remains to be determined if miR-4423−dependent modulation of miR-4423−specific targets impacts airway epithelial phenotypes.

We observed that the expression of miR-4423 is decreased in lung tumors, which may simply reflect the absence of ciliated cells in these tissues. However, we also found that the ectopic expression of miR-4423 inhibits anchorage-independent growth in vitro and reduces tumor growth in vivo. Furthermore, we found that genes that are down-regulated by miR-4423 overexpression include members of the PIK3CA and SHC signaling pathways, which are important for anchorage-independent growth. These findings suggest that this microRNA may directly play a tumor-suppressive role. We found that miR-4423 expression is lost in both SCC and ADC. However, given that SCC arises from airway epithelium and the role we found for miR-4423 in airway epithelial differentiation, we hypothesize that loss of miR-4423 expression may be more functionally relevant in SCC than in ADC. Consistent with this hypothesis, both the soft agar and xenograft studies show that miR-4423 has an effect on some of the SCC cell lines tested whereas it only affected the anchorage-independent growth capacity of the poorly differentiated ADC cell line Calu-6. Additionally, we found that cell lines in which miR-4423 overexpression inhibits anchorage-independent growth show higher expression of genes important for cell differentiation, focal adhesion, and cell cycle and decreased expression of genes involved in apoptosis relative to miR-4423−overexpression−insensitive cell lines, suggesting that the loss of miR-4423 might contribute to tumorigenesis in a specific subset of SCC.

Intriguingly, we also found that the expression of miR-4423 is down-regulated in the cytologically normal bronchial epithelium of smokers with lung cancer, suggesting that miR-4423 expression might be influenced by a field cancerization effect. This is further supported by the overrepresentation of predicted miR-4423 targets among genes that are up-regulated in the normal airway of smokers with lung cancer, suggesting that the loss of miR-4423 expression may play a role in field cancerization.

These observations, taken together with the potential role of miR-4423 in airway cell differentiation, are consistent with the many examples of processes that contribute to differentiation and suppress malignancy (39). There are several other examples of tissue-specific microRNAs, such as miR-29 and miR-1/206, whose expression is lost in cancerous tissues and whose ectopic expression promotes redifferentiation and abrogates the malignant phenotype (5, 6). Consistently, histological analysis of miR-4423−overexpressing tumors revealed foci of increased phosphorylated E-cadherin, which were not observed in the control tumors. These results suggest that miR-4423 overexpression can promote cell adhesion and open the possibility that miR-4423 may be capable of restoring aspects of the differentiation program of cancer cells. Additional mechanistic studies will be needed to determine whether and how miR-4423 plays a role in the molecular crosstalk between airway differentiation and lung carcinogenesis.

This work has a number of translational implications for the study of both lung cancer and airway epithelium development. First, miR-4423 is an example of a microRNA with lung cancer-associated differential expression in cytologically normal bronchial airway epithelium. This extends our previous findings, that changes in mRNA expression in the normal airway are associated with lung cancer and premalignancy (17, 40), to microRNA, and suggests that differences in the expression of miR-4423 and/or other microRNAs might be useful for the early detection of lung cancer in the relatively accessible proximal airway. Second, the effect of ectopic expression of miR-4423 on anchorage-independent growth of lung cancer cell lines and their ability to form tumors in mice suggest the potential of miR-4423 mimetics as lung cancer therapeutics. Third, the species specificity of miR-4423 raises interesting questions about the mechanisms of airway epithelial differentiation and ciliogenesis in simians relative to other mammals, and may have implications for the study of lung injury and other lung diseases in nonsimian models. Finally, it is likely that miR-4423 was not discovered before due to its tissue and species specificity. Therefore, this study demonstrates the potential for unbiased genome-wide profiling to discover unannotated transcripts with biological and clinical importance.

Materials and Methods

Human specimens used in this study were collected with the approval of the Institutional Review Board at Boston University Medical Center, Mayo Clinic, and University of California, Los Angeles Medical Center, and all study subjects provided written consent. A detailed description of the patient populations and methodologies (sample collection, small RNA-sequencing and sequencing data analysis, qRT-PCR, in vitro assays, in situ hybridization, immunohistochemistry, microarray sample processing and data analysis, air liquid interface cultures, and xenograft mouse models) used in this work can be found in SI Appendix. All small RNA sequencing and microarray data have been deposited in the Gene Expression Omnibus database under the accession no. GSE48798.

Acknowledgments

We thank R. Mallarino, W. Cardoso, and Y. Alekseyev (Boston University Microarray Core) for technical support and advice. This work was funded by R01 CA 124640 (A.S. and M.E.L.), U01 CA152751 (A.S., S.M.D., and M.E.L.) as part of the National Cancer Institute’s Early Detection Research Network, National Science Foundation Integrative Graduate Education and Research Traineeship (J.D.C.), P50CA58184 (S.A.B.), Merit Review 5I01BX000359 (S.M.D.), and R43HL088807-01 (P.H.).

Footnotes

  • ↵1M.E.L. and A.S. contributed equally to this work.

  • ↵2To whom correspondence should be addressed. E-mail: aspira{at}bu.edu.
  • Author contributions: C.P., J.D.C., S.M.D., P.H., S.A.B., M.E.L., and A.S. designed research; C.P., J.D.C., J.G., C.S.T., C.B.G., T.C.W., E.D., H.S., J.V., and C.M. performed research; C.A., G.R.J., F.S., and B.N.G. contributed new reagents/analytic tools; C.P., J.D.C., J.G., C.S.T., C.B.G., A.C.G., and C.O. analyzed data; and C.P., J.D.C., M.E.L., and A.S. wrote the paper.

  • The authors declare no conflict of interest.

  • This article is a PNAS Direct Submission. J.D.M. is a guest editor invited by the Editorial Board.

  • Data deposition: The data reported in this paper have been deposited in the Gene Expression Omnibus (GEO) database, www.ncbi.nlm.nih.gov/geo (accession no. GSE48798).

  • See Commentary on page 18748.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1220319110/-/DCSupplemental.

Freely available online through the PNAS open access option.

References

  1. ↵
    1. Hwang HW,
    2. Mendell JT
    (2006) MicroRNAs in cell proliferation, cell death, and tumorigenesis. Br J Cancer 94(6):776–780.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Zhao Y,
    2. Srivastava D
    (2007) A developmental view of microRNA function. Trends Biochem Sci 32(4):189–197.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Lizé M,
    2. Herr C,
    3. Klimke A,
    4. Bals R,
    5. Dobbelstein M
    (2010) MicroRNA-449a levels increase by several orders of magnitude during mucociliary differentiation of airway epithelia. Cell Cycle 9(22):4579–4583.
    OpenUrlPubMed
  4. ↵
    1. Marcet B,
    2. et al.
    (2011) Control of vertebrate multiciliogenesis by miR-449 through direct repression of the Delta/Notch pathway. Nat Cell Biol 13(6):693–699.
    OpenUrlPubMed
  5. ↵
    1. Fabbri M,
    2. et al.
    (2007) MicroRNA-29 family reverts aberrant methylation in lung cancer by targeting DNA methyltransferases 3A and 3B. Proc Natl Acad Sci USA 104(40):15805–15810.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Taulli R,
    2. et al.
    (2009) The muscle-specific microRNA miR-206 blocks human rhabdomyosarcoma growth in xenotransplanted mice by promoting myogenic differentiation. J Clin Invest 119(8):2366–2378.
    OpenUrlPubMed
  7. ↵
    1. Brase JC,
    2. Wuttig D,
    3. Kuner R,
    4. Sültmann H
    (2010) Serum microRNAs as non-invasive biomarkers for cancer. Mol Cancer 9:306.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Kosaka N,
    2. Iguchi H,
    3. Ochiya T
    (2010) Circulating microRNA in body fluid: A new potential biomarker for cancer diagnosis and prognosis. Cancer Sci 101(10):2087–2092.
    OpenUrlCrossRefPubMed
  9. ↵
    1. Shields PG
    (2002) Molecular epidemiology of smoking and lung cancer. Oncogene 21(45):6870–6876.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Sridhar S,
    2. et al.
    (2008) Smoking-induced gene expression changes in the bronchial airway are reflected in nasal and buccal epithelium. BMC Genomics 9:259.
    OpenUrlCrossRefPubMed
  11. ↵
    1. Zhang X,
    2. et al.
    (2010) Similarities and differences between smoking-related gene expression in nasal and bronchial epithelium. Physiol Genomics 41(1):1–8.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Beane J,
    2. et al.
    (2007) Reversible and permanent effects of tobacco smoke exposure on airway epithelial gene expression. Genome Biol 8(9):R201.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Chari R,
    2. et al.
    (2007) Effect of active smoking on the human bronchial epithelium transcriptome. BMC Genomics 8:297.
    OpenUrlCrossRefPubMed
  14. ↵
    1. Hackett NR,
    2. et al.
    (2003) Variability of antioxidant-related gene expression in the airway epithelium of cigarette smokers. Am J Respir Cell Mol Biol 29(3 Pt 1):331–343.
    OpenUrlCrossRefPubMed
  15. ↵
    1. Spira A,
    2. et al.
    (2004) Effects of cigarette smoke on the human airway epithelial cell transcriptome. Proc Natl Acad Sci USA 101(27):10143–10148.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Schembri F,
    2. et al.
    (2009) MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium. Proc Natl Acad Sci USA 106(7):2319–2324.
    OpenUrlAbstract/FREE Full Text
  17. ↵
    1. Spira A,
    2. et al.
    (2007) Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer. Nat Med 13(3):361–366.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Langmead B,
    2. Trapnell C,
    3. Pop M,
    4. Salzberg SL
    (2009) Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10(3):R25.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Griffiths-Jones S
    (2004) The microRNA Registry. Nucleic Acids Res 32(Database issue):D109–D111.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Friedländer MR,
    2. et al.
    (2008) Discovering microRNAs from deep sequencing data using miRDeep. Nat Biotechnol 26(4):407–415.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Stark MS,
    2. et al.
    (2010) Characterization of the melanoma miRNAome by deep sequencing. PLoS ONE 5(3):e9685.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Witten D,
    2. Tibshirani R,
    3. Gu SG,
    4. Fire A,
    5. Lui WO
    (2010) Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls. BMC Biol 8:58.
    OpenUrlCrossRefPubMed
  23. ↵
    1. Hafner M,
    2. et al.
    (2010) Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell 141(1):129–141.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Yang P,
    2. Sale WS
    (1998) The Mr 140,000 intermediate chain of Chlamydomonas flagellar inner arm dynein is a WD-repeat protein implicated in dynein arm anchoring. Mol Biol Cell 9(12):3335–3349.
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. Lonergan KM,
    2. et al.
    (2006) Identification of novel lung genes in bronchial epithelium by serial analysis of gene expression. Am J Respir Cell Mol Biol 35(6):651–661.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Deus HF,
    2. et al.
    (2010) Exposing The Cancer Genome Atlas as a SPARQL endpoint. J Biomed Inform 43(6):998–1008.
    OpenUrlCrossRefPubMed
  27. ↵
    1. Asnaghi L,
    2. et al.
    (2010) E-cadherin negatively regulates neoplastic growth in non-small cell lung cancer: Role of Rho GTPases. Oncogene 29(19):2760–2771.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Bremnes RM,
    2. Veve R,
    3. Hirsch FR,
    4. Franklin WA
    (2002) The E-cadherin cell-cell adhesion complex and lung cancer invasion, metastasis, and prognosis. Lung Cancer 36(2):115–124.
    OpenUrlCrossRefPubMed
  29. ↵
    1. Grimson A,
    2. et al.
    (2007) MicroRNA targeting specificity in mammals: Determinants beyond seed pairing. Mol Cell 27(1):91–105.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Enright AJ,
    2. et al.
    (2003) MicroRNA targets in Drosophila. Genome Biol 5(1):R1.
    OpenUrlCrossRefPubMed
  31. ↵
    1. Wang L,
    2. et al.
    (2013) miR-34b regulates multiciliogenesis during organ formation in zebrafish. Development 140(13):2755–2764.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Khaleque MA,
    2. et al.
    (2005) Induction of heat shock proteins by heregulin beta1 leads to protection from apoptosis and anchorage-independent growth. Oncogene 24(43):6564–6573.
    OpenUrlPubMed
  33. ↵
    1. Akca H,
    2. Demiray A,
    3. Tokgun O,
    4. Yokota J
    (2011) Invasiveness and anchorage independent growth ability augmented by PTEN inactivation through the PI3K/AKT/NFkB pathway in lung cancer cells. Lung Cancer 73(3):302–309.
    OpenUrlCrossRefPubMed
  34. ↵
    1. Carrano AC,
    2. Pagano M
    (2001) Role of the F-box protein Skp2 in adhesion-dependent cell cycle progression. J Cell Biol 153(7):1381–1390.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Ross AJ,
    2. Dailey LA,
    3. Brighton LE,
    4. Devlin RB
    (2007) Transcriptional profiling of mucociliary differentiation in human airway epithelial cells. Am J Respir Cell Mol Biol 37(2):169–185.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Sanchez-Palencia A,
    2. et al.
    (2011) Gene expression profiling reveals novel biomarkers in nonsmall cell lung cancer. Int J Cancer 129(2):355–364.
    OpenUrlCrossRefPubMed
  37. ↵
    1. Xi L,
    2. et al.
    (2008) Whole genome exon arrays identify differential expression of alternatively spliced, cancer-related genes in lung cancer. Nucleic Acids Res 36(20):6535–6547.
    OpenUrlAbstract/FREE Full Text
  38. ↵
    1. Wachi S,
    2. Yoneda K,
    3. Wu R
    (2005) Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues. Bioinformatics 21(23):4205–4208.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Sell S
    (1993) Cellular origin of cancer: Dedifferentiation or stem cell maturation arrest? Environ Health Perspect 101(Suppl 5):15–26.
    OpenUrl
  40. ↵
    1. Gustafson AM,
    2. et al.
    (2010) Airway PI3K pathway activation is an early and reversible event in lung cancer development. Sci Transl Med 2(26):26ra25.
    OpenUrlAbstract/FREE Full Text
PreviousNext
Back to top
Article Alerts
Email Article

Thank you for your interest in spreading the word on PNAS.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
MicroRNA 4423 is a primate-specific regulator of airway epithelial cell differentiation and lung carcinogenesis
(Your Name) has sent you a message from PNAS
(Your Name) thought you would like to see the PNAS web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Discovery of a cancer-associated airway miRNA
Catalina Perdomo, Joshua D. Campbell, Joseph Gerrein, Carmen S. Tellez, Carly B. Garrison, Tonya C. Walser, Eduard Drizik, Huiqing Si, Adam C. Gower, Jessica Vick, Christina Anderlind, George R. Jackson, Courtney Mankus, Frank Schembri, Carl O’Hara, Brigitte N. Gomperts, Steven M. Dubinett, Patrick Hayden, Steven A. Belinsky, Marc E. Lenburg, Avrum Spira
Proceedings of the National Academy of Sciences Nov 2013, 110 (47) 18946-18951; DOI: 10.1073/pnas.1220319110

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Discovery of a cancer-associated airway miRNA
Catalina Perdomo, Joshua D. Campbell, Joseph Gerrein, Carmen S. Tellez, Carly B. Garrison, Tonya C. Walser, Eduard Drizik, Huiqing Si, Adam C. Gower, Jessica Vick, Christina Anderlind, George R. Jackson, Courtney Mankus, Frank Schembri, Carl O’Hara, Brigitte N. Gomperts, Steven M. Dubinett, Patrick Hayden, Steven A. Belinsky, Marc E. Lenburg, Avrum Spira
Proceedings of the National Academy of Sciences Nov 2013, 110 (47) 18946-18951; DOI: 10.1073/pnas.1220319110
Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Mendeley logo Mendeley
Proceedings of the National Academy of Sciences: 110 (47)
Table of Contents

Submit

Sign up for Article Alerts

Article Classifications

  • Biological Sciences
  • Cell Biology

Jump to section

  • Article
    • Abstract
    • Results
    • Discussion
    • Materials and Methods
    • Acknowledgments
    • Footnotes
    • References
  • Figures & SI
  • Info & Metrics
  • PDF

You May Also be Interested in

Surgeons hands during surgery
Inner Workings: Advances in infectious disease treatment promise to expand the pool of donor organs
Despite myriad challenges, clinicians see room for progress.
Image credit: Shutterstock/David Tadevosian.
Setting sun over a sun-baked dirt landscape
Core Concept: Popular integrated assessment climate policy models have key caveats
Better explicating the strengths and shortcomings of these models will help refine projections and improve transparency in the years ahead.
Image credit: Witsawat.S.
Double helix
Journal Club: Noncoding DNA shown to underlie function, cause limb malformations
Using CRISPR, researchers showed that a region some used to label “junk DNA” has a major role in a rare genetic disorder.
Image credit: Nathan Devery.
Steamboat Geyser eruption.
Eruption of Steamboat Geyser
Mara Reed and Michael Manga explore why Yellowstone's Steamboat Geyser resumed erupting in 2018.
Listen
Past PodcastsSubscribe
Birds nestling on tree branches
Parent–offspring conflict in songbird fledging
Some songbird parents might improve their own fitness by manipulating their offspring into leaving the nest early, at the cost of fledgling survival, a study finds.
Image credit: Gil Eckrich (photographer).

Similar Articles

Site Logo
Powered by HighWire
  • Submit Manuscript
  • Twitter
  • Facebook
  • RSS Feeds
  • Email Alerts

Articles

  • Current Issue
  • Special Feature Articles – Most Recent
  • List of Issues

PNAS Portals

  • Anthropology
  • Chemistry
  • Classics
  • Front Matter
  • Physics
  • Sustainability Science
  • Teaching Resources

Information

  • Authors
  • Editorial Board
  • Reviewers
  • Librarians
  • Press
  • Site Map
  • PNAS Updates

Feedback    Privacy/Legal

Copyright © 2021 National Academy of Sciences. Online ISSN 1091-6490