ABSTRACT
The growth and metastasis of solid tumours is known to be facilitated by the tumour microenvironment (TME), which is composed of a highly diverse collection of cell types that interact and communicate with one another extensively. Many of these interactions involve the immune cell population within the TME, referred to as the tumour immune microenvironment (TIME). These non-cell autonomous interactions exert substantial influence over cell behaviour and contribute to the reprogramming of immune and stromal cells into numerous pro-tumourigenic phenotypes. The study of some of these interactions, such as the PD-1/PD-L1 axis that induces CD8+ T cell exhaustion, has led to the development of breakthrough therapeutic advances. Yet many common analyses of the TME either do not retain the spatial data necessary to assess cell-cell interactions, or interrogate few (<10) markers, limiting the capacity for cell phenotyping. Recently developed digital pathology technologies, together with sophisticated bioimage analysis programs, now enable the high-resolution, highly-multiplexed analysis of diverse immune and stromal cell markers within the TME of clinical specimens. In this article, we review the tumour-promoting non-cell autonomous interactions in the TME and their impact on tumour behaviour. We additionally survey commonly used image analysis programs and highly-multiplexed spatial imaging technologies, and we discuss their relative advantages and limitations. The spatial organization of the TME varies enormously between patients, and so leveraging these technologies in future studies to further characterize how non-cell autonomous interactions impact tumour behaviour may inform the personalization of cancer treatment.â.
Subject(s)
Neoplasms , Tumor Microenvironment , Humans , Diagnostic Imaging , CD8-Positive T-Lymphocytes , Image Processing, Computer-AssistedABSTRACT
A multimodal multiphoton microscopy (MPM) is developed to acquire both two-photon microscopy (2PM) and three-photon microscopy (3PM) signals. A dual-wavelength Er-doped fiber laser is used as the light source, which provides the fundamental pulse at 1580â nm to excite third harmonic generation (THG) and the frequency-doubled pulse at 790â nm to excite intrinsic two-photon excitation fluorescence (TPEF) and second harmonic generation (SHG). Due to their different contrast mechanisms, the TPEF, SHG, and THG images can acquire complementary information about tissues, including cells, collagen fibers, lipids, and interfaces, all label-free. The compact MPM imaging probe is developed using miniature objective lens and a micro-electro-mechanical scanner. Furthermore, the femtosecond laser pulses are delivered by a single mode fiber and the signals are collected by a multimode fiber, which makes the miniaturized MPM directly fiber-coupled, compact, and portable. Design considerations on using the dual excitation wavelengths are discussed. Multimodal and label-free imaging by TPEF, SHG, and THG are demonstrated on biological samples. The miniaturized multimodal MPM is shown to have great potential for label-free imaging of thick and live tissues.
ABSTRACT
Gene function in cancer is often cell type-specific. The epithelial cell-specific transcription factor ELF3 is a documented tumor suppressor in many epithelial tumors yet displays oncogenic properties in others. Here, we show that ELF3 is an oncogene in the adenocarcinoma subtype of lung cancer (LUAD), providing genetic, functional, and clinical evidence of subtype specificity. We discover a region of focal amplification at chromosome 1q32.1 encompassing the ELF3 locus in LUAD which is absent in the squamous subtype. Gene dosage and promoter hypomethylation affect the locus in up to 80% of LUAD analyzed. ELF3 expression was required for tumor growth and a pan-cancer expression network analysis supports its subtype and tissue specificity. We further show that ELF3 displays strong prognostic value in LUAD but not LUSC. We conclude that, contrary to many other tumors of epithelial origin, ELF3 is an oncogene and putative therapeutic target in LUAD.
Subject(s)
Adenocarcinoma of Lung/genetics , Carcinoma, Squamous Cell/genetics , DNA-Binding Proteins/genetics , Lung Neoplasms/genetics , Oncogenes/genetics , Proto-Oncogene Proteins c-ets/genetics , Transcription Factors/genetics , A549 Cells , Animals , Carcinoma/genetics , DNA Methylation , Gene Amplification/genetics , Gene Dosage , Humans , Mice , Neoplasm Transplantation , Protein Interaction Maps , Transplantation, HeterologousABSTRACT
BACKGROUND: The tumor microenvironment (TME) is a complex mixture of tumor epithelium, stroma and immune cells, and the immune component of the TME is highly prognostic for tumor progression and patient outcome. In lung cancer, anti-PD-1 therapy significantly improves patient survival through activation of T cell cytotoxicity against tumor cells. Direct contact between CD8+ T cells and target cells is necessary for CD8+ T cell activity, indicating that spatial organization of immune cells within the TME reflects a critical process in anti-tumor immunity. Current immunohistochemistry (IHC) imaging techniques identify immune cell numbers and densities, but lack assessment of cell-cell spatial relationships (or "cell sociology"). Immune functionality, however, is often dictated by cell-to-cell contact and cannot be resolved by simple metrics of cell density (for example, number of cells per mm2). To address this issue, we developed a Hyperspectral Cell Sociology technology platform for the analysis of cell-cell interactions in multi-channel IHC-stained tissue. METHODS: Tissue sections of primary tumors from lung adenocarcinoma patients with known clinical outcome were stained using multiplex IHC for CD3, CD8, and CD79a, and hyperspectral image analysis determined the phenotype of all cells. A Voronoi diagram for each cell was used to approximate cell boundaries, and the cell type of all neighboring cells was identified and quantified. Monte Carlo analysis was used to assess whether cell sociology patterns were likely due to random distributions of the cells. RESULTS: High density of intra-tumoral CD8+ T cells was significantly associated with non-recurrence of tumors. A cell sociology pattern of CD8+ T cells surrounded by tumor cells was more significantly associated with non-recurrence compared to CD8+ T cell density alone. CD3+ CD8- T cells surrounded by tumor cells was also associated with non-recurrence, but at a similar significance as cell density alone. Cell sociology metrics improved recurrence classifications of 12 patients. Monte Carlo re-sampling analysis determined that these cell sociology patterns were non-random. CONCLUSION: Hyperspectral Cell Sociology expands our understanding of the complex interplay between tumor cells and immune infiltrate. This technology could improve predictions of responses to immunotherapy and lead to a deeper understanding of anti-tumor immunity.
Subject(s)
Adenocarcinoma of Lung/immunology , B-Lymphocytes/physiology , Cell Communication , Lung Neoplasms/immunology , T-Lymphocytes/physiology , Aged , Aged, 80 and over , Female , Humans , Immunohistochemistry , Male , Middle AgedABSTRACT
BACKGROUND: The purpose of this study was to use quantitative tissue phenotype (QTP) to assess the surgical margins to examine if a fluorescence visualization-guided surgical approach produces a shift in the surgical field by sparing normal tissue while catching high-risk tissue. METHODS: Using our QTP to calculate the degree of nuclear chromatin abnormalities, Nuclear Phenotypic Score (NPS), we analyzed 1290 biopsy specimens taken from surgical samples of 248 patients enrolled in the Efficacy of Optically-guided Surgery in the Management of Early-staged Oral Cancer (COOLS) trial. Multiple margin specimens were collected from each surgical specimen according to the presence of fluorescence visualization alterations and the distance to the surgical margins. RESULTS: The NPS in fluorescence visualization-altered (fluorescence visualization-positive) samples was significantly higher than that in fluorescence visualization-retained (fluorescence visualization-negative) samples. There was a constant trend of decreasing NPS of margin samples from non-adjacent-fluorescence visualization margins to adjacent-fluorescence visualization margins. CONCLUSION: Our results suggested that using fluorescence visualization to guide surgery has the potential to spare more normal tissue at surgical margins.
Subject(s)
Margins of Excision , Mouth Neoplasms/pathology , Mouth Neoplasms/surgery , Adult , Aged , Aged, 80 and over , Canada , Female , Fluorescence , Humans , Male , Middle Aged , Mouth Neoplasms/diagnostic imaging , Neoplasm Staging , Phenotype , Young AdultABSTRACT
Dual-mode endomicroscopy is a diagnostic tool for early cancer detection. It combines the high-resolution nuclear tissue contrast of fluorescence endomicroscopy with quantified depth-dependent epithelial backscattering as obtained by diffuse optical microscopy. In an in vivo pilot imaging study of 27 oral lesions from 21 patients, we demonstrate the complementary diagnostic value of both modalities and show correlations between grade of epithelial dysplasia and relative depth-dependent shifts in light backscattering. When combined, the two modalities provide diagnostic sensitivity to both moderate and severe epithelial dysplasia in vivo.
Subject(s)
Carcinoma in Situ/diagnostic imaging , Early Detection of Cancer/methods , Microscopy, Confocal/methods , Mouth Neoplasms/diagnostic imaging , Precancerous Conditions/diagnostic imaging , Aged , Aged, 80 and over , Humans , Middle Aged , Pilot ProjectsABSTRACT
Current diagnostic capabilities and limitations of fluorescence endomicroscopy in the cervix are assessed by qualitative and quantitative image analysis. Four cervical tissue types are investigated: normal columnar epithelium, normal and precancerous squamous epithelium, and stromal tissue. This study focuses on the perceived variability within and the subtle differences between the four tissue groups in the context of endomicroscopic in vivo pathology. Conclusions are drawn on the general ability to distinguish and diagnose tissue types, on the need for imaging depth control to enhance differentiation, and on the possible risks for diagnostic misinterpretations.
Subject(s)
Cervix Uteri/cytology , Cervix Uteri/diagnostic imaging , Microscopy, Confocal/methods , Microscopy, Fluorescence/methods , Epithelial Cells/cytology , Equipment Design , Female , Humans , Pilot Projects , Squamous Intraepithelial Lesions of the Cervix/diagnostic imagingABSTRACT
Genes involved in fetal lung development are thought to play crucial roles in the malignant transformation of adult lung cells. Consequently, the study of lung tumour biology in the context of lung development has the potential to reveal key developmentally relevant genes that play critical roles in lung cancer initiation/progression. Here, we describe for the first time a comprehensive characterization of miRNA expression in human fetal lung tissue, with subsequent identification of 37 miRNAs in non-small cell lung cancer (NSCLC) that recapitulate their fetal expression patterns. Nuclear factor I/B (NFIB), a transcription factor essential for lung development, was identified as a potential frequent target for these 'oncofetal' miRNAs. Concordantly, analysis of NFIB expression in multiple NSCLC independent cohorts revealed its recurrent underexpression (in â¼40-70% of tumours). Interrogation of NFIB copy number, methylation, and mutation status revealed that DNA level disruption of this gene is rare, and further supports the notion that oncofetal miRNAs are likely the primary mechanism responsible for NFIB underexpression in NSCLC. Reflecting its functional role in regulating lung differentiation, low expression of NFIB was significantly associated with biologically more aggressive subtypes and, ultimately, poorer survival in lung adenocarcinoma patients. Copyright © 2016 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
Subject(s)
Adenocarcinoma/genetics , Lung Neoplasms/genetics , MicroRNAs/metabolism , NFI Transcription Factors/genetics , Neoplasm Invasiveness/genetics , Adenocarcinoma/metabolism , Adenocarcinoma/mortality , Adenocarcinoma/pathology , Adult , Aged , Aged, 80 and over , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Non-Small-Cell Lung/metabolism , Carcinoma, Non-Small-Cell Lung/pathology , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Humans , Lung/metabolism , Lung/pathology , Lung Neoplasms/mortality , Lung Neoplasms/pathology , Male , MicroRNAs/genetics , Middle Aged , NFI Transcription Factors/metabolism , Neoplasm Invasiveness/pathology , Prognosis , Survival RateABSTRACT
IMPORTANCE: The prevalence of genetically altered cells in oral cancers has a negative influence on the locoregional recurrence rate and lowers survival. Fluorescence visualization (FV) can identify clinically occult, high-risk oral lesions by allowing health care professionals and surgeons to visualize and map occult disease. This process may improve overall survival by decreasing rates of locoregional recurrence. OBJECTIVE: To assess the efficacy of FV-guided surgery in reducing locoregional recurrence and improving overall survival. DESIGN, SETTING, AND PARTICIPANTS: A retrospective, case-control observational study was conducted on patients registered at a single oral oncology clinic from September 1, 2004, to August 31, 2009. The study included 246 patients 18 years or older with a diagnosis of a high-grade lesion (severe dysplasia or carcinoma in situ) or squamous cell carcinoma of less than 4 cm who underwent curative surgical treatment with at least 1 follow-up visit. Among these patients, 154 underwent surgery with FV guidance (FV group) and the other 92 underwent conventional surgery (control group). Demographic and lesional characteristics and outcomes were collected, and the key factors for the efficacy of FV-guided surgery were examined. Follow-up was completed on December 31, 2011, and data were analyzed from May 1 to November 30, 2013. MAIN OUTCOMES AND MEASURES: Local recurrence of oral lesions with a histologic grade of severe dysplasia or higher, the presence of regional failure (ie, a metastatic lesion in the cervical lymph nodes), or disease-free survival after surgery. RESULTS: Among the 246 patients included in the study (mean [SD] age, 60 [12] years; 108 women and 138 men), 156 had squamous cell carcinoma and 90 had high-grade lesions. There were no significant differences between the FV (n = 154) and control (n = 92) groups in age, smoking history, anatomical site of the lesion, tumor size, and previous oral cancer. Among the 156 patients with squamous cell carcinoma, the 92 patients in the FV group showed significant reduction in the 3-year local recurrence rate, from 40.6% (26 of 64 patients) to 6.5% (6 of 92 patients) (P < .001). Among the 90 patients with high-grade lesions, the 62 patients in the FV group showed a reduction in local recurrence rate from 11 of 28 patients (39.3%) to 5 of 62 patients (8.1%) (P < .001). The data also indicated that, compared with conventional surgery, the FV-guided approach for squamous cell carcinoma was associated with less regional failure (14 of 92 patients [15.2%] vs 16 of 64 [25.0%]; P = .08) and death (12 of 92 patients [13.0%] vs 13 of 64 [20.3%]; P = .22), although these differences were not statistically significant. CONCLUSIONS AND RELEVANCE: In this study, the use of FV as part of the surgical margin decision process significantly reduced the rate of local recurrence in preinvasive high-grade and early-stage oral cancers. An ongoing multicenter, phase 3, randomized surgical trial has completed accrual, and the data will be used to validate the results of this study.
Subject(s)
Carcinoma, Squamous Cell/surgery , Mouth Neoplasms/surgery , Neoplasm Staging/methods , Optical Imaging/methods , Oral Surgical Procedures/methods , Surgery, Computer-Assisted/methods , British Columbia/epidemiology , Carcinoma, Squamous Cell/pathology , Disease-Free Survival , Female , Fluorescence , Follow-Up Studies , Humans , Incidence , Male , Middle Aged , Mouth Neoplasms/pathology , Neoplasm Recurrence, Local/epidemiology , Retrospective Studies , Survival Rate/trends , Treatment OutcomeABSTRACT
BACKGROUND: Cervical cancer remains a major health problem, especially in developing countries. Colposcopic examination is used to detect high-grade lesions in patients with a history of abnormal pap smears. New technologies are needed to improve the sensitivity and specificity of this technique. We propose to test the potential of fluorescence confocal microscopy to identify high-grade lesions. METHODS: We examined the quantification of ex vivo confocal fluorescence microscopy to differentiate among normal cervical tissue, low-grade Cervical Intraepithelial Neoplasia (CIN), and high-grade CIN. We sought to (1) quantify nuclear morphology and tissue architecture features by analyzing images of cervical biopsies; and (2) determine the accuracy of high-grade CIN detection via confocal microscopy relative to the accuracy of detection by colposcopic impression. Forty-six biopsies obtained from colposcopically normal and abnormal cervical sites were evaluated. Confocal images were acquired at different depths from the epithelial surface and histological images were analyzed using in-house software. RESULTS: The features calculated from the confocal images compared well with those features obtained from the histological images and histopathological reviews of the specimens (obtained by a gynecologic pathologist). The correlations between two of these features (the nuclear-cytoplasmic ratio and the average of three nearest Delaunay-neighbors distance) and the grade of dysplasia were higher than that of colposcopic impression. The sensitivity of detecting high-grade dysplasia by analysing images collected at the surface of the epithelium, and at 15 and 30 µm below the epithelial surface were respectively 100, 100, and 92 %. CONCLUSIONS: Quantitative analysis of confocal fluorescence images showed its capacity for discriminating high-grade CIN lesions vs. low-grade CIN lesions and normal tissues, at different depth of imaging. This approach could be used to help clinicians identify high-grade CIN in clinical settings.
Subject(s)
Microscopy, Confocal/methods , Microscopy, Fluorescence/methods , Uterine Cervical Dysplasia/diagnosis , Uterine Cervical Neoplasms/diagnosis , Adult , Colposcopy , Female , Humans , Middle Aged , Neoplasm Grading , Phenotype , Uterine Cervical Neoplasms/pathology , Young Adult , Uterine Cervical Dysplasia/pathologyABSTRACT
OBJECTIVE: Volatile organic compounds (VOCs) in exhaled breath as measured by electronic nose (e-nose) have utility as biomarkers to detect subjects at risk of having lung cancer in a screening setting. We hypothesize that breath analysis using an e-nose chemo-resistive sensor array could be used as a screening tool to discriminate patients diagnosed with lung cancer from high-risk smokers. METHODS: Breath samples from 191 subjects-25 lung cancer patients and 166 high-risk smoker control subjects without cancer-were analyzed. For clinical relevancy, subjects in both groups were matched for age, sex, and smoking histories. Classification and regression trees and discriminant functions classifiers were used to recognize VOC patterns in e-nose data. Cross-validated results were used to assess classification accuracy. Repeatability and reproducibility of e-nose data were assessed by measuring subject-exhaled breath in parallel across two e-nose devices. RESULTS: e-Nose measurements could distinguish lung cancer patients from high-risk control subjects, with a better than 80% classification accuracy. Subject sex and smoking status impacted classification as area under the curve results (ex-smoker males 0.846, ex-smoker female 0.816, current smoker male 0.745, and current smoker female 0.725) demonstrated. Two e-nose systems could be calibrated to give equivalent readings across subject-exhaled breath measured in parallel. CONCLUSIONS: e-Nose technology may have significant utility as a noninvasive screening tool for detecting individuals at increased risk for lung cancer. SIGNIFICANCE: The results presented further the case that VOC patterns could have real clinical utility to screen for lung cancer in the important growing ex-smoker population.
Subject(s)
Breath Tests/methods , Electronic Nose , Lung Neoplasms/diagnosis , Smoking/metabolism , Aged , Biomarkers/analysis , Early Detection of Cancer , Female , Humans , Lung Neoplasms/metabolism , Male , Middle Aged , Pattern Recognition, Automated , Reproducibility of Results , Volatile Organic Compounds/analysisABSTRACT
BACKGROUND: Cigarette smoke is associated with the majority of lung cancers: however, 25% of lung cancer patients are non-smokers, and half of all newly diagnosed lung cancer patients are former smokers. Lung tumors exhibit distinct epidemiological, clinical, pathological, and molecular features depending on smoking status, suggesting divergent mechanisms underlie tumorigenesis in smokers and non-smokers. MicroRNAs (miRNAs) are integral contributors to tumorigenesis and mediate biological responses to smoking. Based on the hypothesis that smoking-specific miRNA differences in lung adenocarcinomas reflect distinct tumorigenic processes selected by different smoking and non-smoking environments, we investigated the contribution of miRNA disruption to lung tumor biology and patient outcome in the context of smoking status. METHODS: We applied a whole transcriptome sequencing based approach to interrogate miRNA levels in 94 patient-matched lung adenocarcinoma and non-malignant lung parenchymal tissue pairs from current, former and never smokers. RESULTS: We discovered novel and distinct smoking status-specific patterns of miRNA and miRNA-mediated gene networks, and identified miRNAs that were prognostically significant in a smoking dependent manner. CONCLUSIONS: We conclude that miRNAs disrupted in a smoking status-dependent manner affect distinct cellular pathways and differentially influence lung cancer patient prognosis in current, former and never smokers. Our findings may represent promising biologically relevant markers for lung cancer prognosis or therapeutic intervention.
Subject(s)
Adenocarcinoma/etiology , Adenocarcinoma/mortality , Lung Neoplasms/etiology , Lung Neoplasms/mortality , MicroRNAs/genetics , Smoking , Adenocarcinoma/pathology , Adenocarcinoma of Lung , Adult , Aged , Cluster Analysis , Cohort Studies , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Gene Regulatory Networks , Humans , Lung Neoplasms/pathology , Male , Middle Aged , Neoplasm Staging , Patient Outcome Assessment , Prognosis , RNA InterferenceABSTRACT
Accurate cervical intra-epithelial neoplasia (CIN) lesion grading is needed for effective patient management. We applied computer-assisted scanning and analytic approaches to immuno-stained CIN lesion sections to more accurately delineate disease states and decipher cell proliferation impacts from HPV and smoking within individual epithelial layers. A patient cohort undergoing cervical screening was identified (nâ=â196) and biopsies of varying disease grades and with intact basement membranes and epithelial layers were obtained (nâ=â261). Specimens were sectioned, stained (Mib1), and scanned using a high-resolution imaging system. We achieved semi-automated delineation of proliferation status and epithelial cell layers using Otsu segmentation, manual image review, Voronoi tessellation, and immuno-staining. Data were interrogated against known status for HPV infection, smoking, and disease grade. We observed increased cell proliferation and decreased epithelial thickness with increased disease grade (when analyzing the epithelium at full thickness). Analysis within individual cell layers showed a ≥50% increase in cell proliferation for CIN2 vs. CIN1 lesions in higher epithelial layers (with minimal differences seen in basal/parabasal layers). Higher rates of proliferation for HPV-positive vs. -negative cases were seen in epithelial layers beyond the basal/parabasal layers in normal and CIN1 tissues. Comparing smokers vs. non-smokers, we observed increased cell proliferation in parabasal (low and high grade lesions) and basal layers (high grade only). In sum, we report CIN grade-specific differences in cell proliferation within individual epithelial layers. We also show HPV and smoking impacts on cell layer-specific proliferation. Our findings yield insight into CIN progression biology and demonstrate that rigorous, semi-automated imaging of histopathological specimens may be applied to improve disease grading accuracy.
Subject(s)
Basement Membrane/pathology , Cell Proliferation , Papillomaviridae/isolation & purification , Uterine Cervical Neoplasms/diagnosis , Adolescent , Adult , Aged , Biomarkers, Tumor , Biopsy , Epithelium/pathology , Female , Humans , Ki-67 Antigen/biosynthesis , Middle Aged , Neoplasm Grading , Papillomaviridae/genetics , Papillomaviridae/pathogenicity , Smoking/pathology , Uterine Cervical Neoplasms/pathology , Uterine Cervical Neoplasms/virologyABSTRACT
Worldwide, oral cancer is responsible for 170,000 deaths per year. Intervention to prevent this disease is a long sought after goal. Chemoprevention studies have focused on clinicopathological features of potentially malignant lesions (PML) in an effort to prevent their progression to cancer. However, prediction of future behavior for such lesions is difficult and remains a major challenge to such intervention. Different approaches to this problem have been tested in the past 20years. Early genetic progression models identified critical regions of allelic imbalance at 3p and 9p, and provided the basis for molecular markers to identify progressing PMLs. Subsequently, technological advances, such as genome-wide high-throughput array platforms, computer imaging, visualization technology and next generation sequencing, have broadened the scope for marker development and have the potential of further improving our ability to identify high-risk lesions in the near future either alone or in combination. In this article, we examine the milestones in the development of markers for PML progression. We emphasize the critical importance of networks among scientists, health professionals and community to facilitate the validation and application of putative markers into clinical practice. With a growing number of new agents to validate, it is necessary to coordinate the design and implementation of strategies for patient recruitment, integration of marker assessment, and the final translation of such approaches into clinical use.
Subject(s)
Biomarkers, Tumor/analysis , Disease Progression , Mouth Neoplasms/prevention & control , Precancerous Conditions/pathology , Humans , Precancerous Conditions/genetics , Risk Assessment/methods , Risk FactorsABSTRACT
DNA methylation is an epigenetic modification that is highly disrupted in response to cigarette smoke and involved in a wide spectrum of malignant and nonmalignant diseases, but surprisingly not previously assessed in small airways of patients with chronic obstructive pulmonary disease (COPD). Small airways are the primary sites of airflow obstruction in COPD. We sought to determine whether DNA methylation patterns are disrupted in small airway epithelia of patients with COPD, and evaluate whether changes in gene expression are associated with these disruptions. Genome-wide methylation and gene expression analysis were performed on small airway epithelial DNA and RNA obtained from the same patient during bronchoscopy, using Illumina's Infinium HM27 and Affymetrix's Genechip Human Gene 1.0 ST arrays. To control for known effects of cigarette smoking on DNA methylation, methylation and gene expression profiles were compared between former smokers with and without COPD matched for age, pack-years, and years of smoking cessation. Our results indicate that aberrant DNA methylation is (1) a genome-wide phenomenon in small airways of patients with COPD, and (2) associated with altered expression of genes and pathways important to COPD, such as the NF-E2-related factor 2 oxidative response pathway. DNA methylation is likely an important mechanism contributing to modulation of genes important to COPD pathology. Because these methylation events may underlie disease-specific gene expression changes, their characterization is a critical first step toward the development of epigenetic markers and an opportunity for developing novel epigenetic therapeutic interventions for COPD.
Subject(s)
DNA Methylation , Pulmonary Disease, Chronic Obstructive/genetics , Aged , Bronchi/metabolism , DNA/genetics , Epithelium/metabolism , Female , Gene Expression , Humans , Male , Middle Aged , NF-E2-Related Factor 2/genetics , NF-E2-Related Factor 2/metabolism , Pulmonary Disease, Chronic Obstructive/metabolism , RNA/genetics , Smoking/genetics , Smoking/metabolismABSTRACT
OBJECTIVE: This pilot study evaluated the baseline effectiveness of a novel handheld fluorescent confocal microscope (FCM) specifically developed for oral mucosa imaging and compared the results with the literature. STUDY DESIGN: Four different oral sites (covering the mucosa of the lip and of the ventral tongue, the masticatory mucosa of the gingiva, and the specialized mucosa of the dorsal tongue) in 6 healthy nonsmokers were imaged by an FCM made up of a confocal fiberoptic probe ergonomically designed for in vivo oral examination, using light at the wavelength of 457 nm able to excite the fluorophore acriflavine hydrochloride, topically administered. In total, 24 mucosal areas were examined. RESULTS: The FCM was able to distinctly define epithelial cells, bacterial plaque, and inflammatory cells and to image submucosal structures by detecting their intrinsic fluorescence. CONCLUSIONS: When compared with other devices, this FCM allowed the user to image each oral site at higher magnification, thus resulting in a clearer view.
Subject(s)
Biopsy/instrumentation , Microscopy, Confocal/instrumentation , Mouth Mucosa/pathology , Adult , Equipment Design , Female , Fluorescence , Humans , MaleABSTRACT
OBJECTIVE: Long noncoding RNAs (lncRNAs) are a unique class of messenger RNA-like transcripts of at least 200 nucleotides in length with no significant protein-coding capacity. Aberrant lncRNA expression is emerging as a major component of the cancer transcriptome. Here, we sought to determine if differential lncRNA expression is a feature of the human cervical intraepithelial neoplasia (CIN) transcriptome. METHODS: Sequence data were derived from 16 long serial analyses of gene expression (L-SAGE) libraries constructed from cervical specimens representing mild (CIN1), moderate (CIN2), and severe (CIN3) histopathologic grades of CIN. A novel lncRNA discovery pipeline was developed to query the expression of lncRNAs within the SAGE data sets. RESULTS: A total of 2,230,370 sequence tags were delineated from the 16 SAGE libraries, representing the expression of 367,482 unique tags at varying abundance. Using a novel stepwise filtering strategy, we analyzed the cervical SAGE libraries and identified the expression profiles of 1056 lncRNAs in the human cervix. We present the first lncRNA expression profile derived from nonneoplastic cervical tissue and establish that changes in lncRNA expression do occur in cervical intraepithelial lesions. Our analysis also shows statistically significant aberrant expression of lncRNAs in the 3 CIN grades, suggesting that these unique noncoding RNA transcripts may contribute to the development and progression of precursor lesions. CONCLUSIONS: Through the analysis of L-SAGE libraries constructed from cervical specimens, we provide the first lncRNA expression profile of the cervix and demonstrate aberrant expression in early-stage neoplasia.
Subject(s)
RNA, Long Noncoding/genetics , Uterine Cervical Dysplasia/genetics , Uterine Cervical Neoplasms/genetics , Adult , Algorithms , Cluster Analysis , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Genetic Association Studies , Humans , Microarray Analysis , Middle Aged , Young AdultABSTRACT
For therapeutic purposes, non-small cell lung cancer (NSCLC) has traditionally been regarded as a single disease. However, recent evidence suggest that the two major subtypes of NSCLC, adenocarcinoma (AC) and squamous cell carcinoma (SqCC) respond differently to both molecular targeted and new generation chemotherapies. Therefore, identifying the molecular differences between these tumor types may impact novel treatment strategy. We performed the first large-scale analysis of 261 primary NSCLC tumors (169 AC and 92 SqCC), integrating genome-wide DNA copy number, methylation and gene expression profiles to identify subtype-specific molecular alterations relevant to new agent design and choice of therapy. Comparison of AC and SqCC genomic and epigenomic landscapes revealed 778 altered genes with corresponding expression changes that are selected during tumor development in a subtype-specific manner. Analysis of >200 additional NSCLCs confirmed that these genes are responsible for driving the differential development and resulting phenotypes of AC and SqCC. Importantly, we identified key oncogenic pathways disrupted in each subtype that likely serve as the basis for their differential tumor biology and clinical outcomes. Downregulation of HNF4α target genes was the most common pathway specific to AC, while SqCC demonstrated disruption of numerous histone modifying enzymes as well as the transcription factor E2F1. In silico screening of candidate therapeutic compounds using subtype-specific pathway components identified HDAC and PI3K inhibitors as potential treatments tailored to lung SqCC. Together, our findings suggest that AC and SqCC develop through distinct pathogenetic pathways that have significant implication in our approach to the clinical management of NSCLC.
Subject(s)
Adenocarcinoma/genetics , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Squamous Cell/genetics , Cell Transformation, Neoplastic/genetics , Lung Neoplasms/genetics , Adenocarcinoma/classification , Adenocarcinoma/pathology , Carcinoma, Non-Small-Cell Lung/classification , Carcinoma, Non-Small-Cell Lung/pathology , Carcinoma, Squamous Cell/classification , Carcinoma, Squamous Cell/pathology , Cell Transformation, Neoplastic/pathology , Disease Progression , Epigenesis, Genetic , Genome , Humans , Lung Neoplasms/classification , Lung Neoplasms/pathology , TranscriptomeABSTRACT
Recent evidence suggests that the observed clinical distinctions between lung tumors in smokers and never smokers (NS) extend beyond specific gene mutations, such as EGFR, EML4-ALK, and KRAS, some of which have been translated into targeted therapies. However, the molecular alterations identified thus far cannot explain all of the clinical and biological disparities observed in lung tumors of NS and smokers. To this end, we performed an unbiased genome-wide, comparative study to identify novel genomic aberrations that differ between smokers and NS. High resolution whole genome DNA copy number profiling of 69 lung adenocarcinomas from smokers (nâ=â39) and NS (nâ=â30) revealed both global and regional disparities in the tumor genomes of these two groups. We found that NS lung tumors had a greater proportion of their genomes altered than those of smokers. Moreover, copy number gains on chromosomes 5q, 7p, and 16p occurred more frequently in NS. We validated our findings in two independently generated public datasets. Our findings provide a novel line of evidence distinguishing genetic differences between smoker and NS lung tumors, namely, that the extent of segmental genomic alterations is greater in NS tumors. Collectively, our findings provide evidence that these lung tumors are globally and genetically different, which implies they are likely driven by distinct molecular mechanisms.
Subject(s)
Adenocarcinoma/genetics , Genomic Instability , Lung Neoplasms/genetics , Mutation , Smoking , Adenocarcinoma/pathology , Adenocarcinoma of Lung , Adult , Aged , Aged, 80 and over , ErbB Receptors/genetics , Female , Genes, ras , Humans , Lung Neoplasms/pathology , Male , Middle Aged , Mutation Rate , Neoplasm StagingABSTRACT
Once thought to be a part of the 'dark matter' of the genome, long non-coding RNAs (lncRNAs) are emerging as an integral functional component of the mammalian transcriptome. LncRNAs are a novel class of mRNA-like transcripts which, despite no known protein-coding potential, demonstrate a wide range of structural and functional roles in cellular biology. However, the magnitude of the contribution of lncRNA expression to normal human tissues and cancers has not been investigated in a comprehensive manner. In this study, we compiled 272 human serial analysis of gene expression (SAGE) libraries to delineate lncRNA transcription patterns across a broad spectrum of normal human tissues and cancers. Using a novel lncRNA discovery pipeline we parsed over 24 million SAGE tags and report lncRNA expression profiles across a panel of 26 different normal human tissues and 19 human cancers. Our findings show extensive, tissue-specific lncRNA expression in normal tissues and highly aberrant lncRNA expression in human cancers. Here, we present a first generation atlas for lncRNA profiling in cancer.