Gene discovery in oral squamous cell carcinoma through the Head and Neck Cancer Genome Anatomy Project: confirmation by microarray analysis

Regulatory and effector T cell subsets in tumor-draining lymph nodes of patients with squamous cell carcinoma of head and neck

Background

A crucial role for the immune system has been proposed in the establishment and progression of head and neck squamous cell carcinoma (HNSCC). In this study, we investigated the cytokine and regulatory profiles of T cells in tumor draining lymph nodes (TDLNs) of patients with HNSCC.

Results

The frequencies of CD4+TNF-α+ and CD4+TNF-αhi negatively were associated with poor prognostic factors such as LN involvement (P = 0.015 and P = 0.019, respectively), stage of the disease (P = 0.032 and P = 0.010, respectively) and tumor size (P = 0.026 and P = 0.032, respectively). Frequencies of CD8+IFN-γ+ and CD8+IFN-γ+ TNF-α+ T cells showed negative relationship with tumor grade (P = 0.035 and P = 0.043, respectively). While, the frequencies of CD4+IL-4+, CD8+IL-10+, CD8+IL-4+T cells were higher in advanced stages of the disease (P = 0.042, P = 0.041 and P = 0.030, respectively) and CD4+IFN-γ+TNF-α−, CD8+IL-4+ and CD8+IFN-γ+TNF-α− T cells were higher in patients with larger tumor size (P = 0.026 and P = 0.032, respectively). Negative associations were found between the frequencies of CD4+CD25+Foxp3+ and CD4+CD25+Foxp3+CD127low/− Treg cells and cancer stage (P = 0.015 and P = 0.059).

Conclusion

This study shed more lights on the changes in immune profile of T cells in TDLNs of HNSCC. Larger tumor size and/or LN involvement were associated with lower frequencies of CD4+TNF-α+, CD8+IFN-γ+ and CD8+IFN-γ+TNF-α+ but higher frequency of CD4+IL-4+ T cells. Moreover, Foxp3+Tregs correlated with good prognostic indicators.

Tracking the Molecular Fingerprint of Head and Neck Cancer for Recurrence Detection in Liquid Biopsies

The 5-year relative survival for patients with head and neck cancer, the seventh most common form of cancer worldwide, was reported as 67% in developed countries in the second decade of the new millennium. Although surgery, radiotherapy, chemotherapy, or combined treatment often elicits an initial satisfactory response, relapses are frequently observed within two years. Current surveillance methods, including clinical exams and imaging evaluations, have not unambiguously demonstrated a survival benefit, most probably due to a lack of sensitivity in detecting very early recurrence. Recently, liquid biopsy monitoring of the molecular fingerprint of head and neck squamous cell carcinoma has been proposed and investigated as a strategy for longitudinal patient care. These innovative methods offer rapid, safe, and highly informative genetic analysis that can identify small tumors not yet visible by advanced imaging techniques, thus potentially shortening the time to treatment and improving survival outcomes. In this review, we provide insights into the available evidence that the molecular tumor fingerprint can be used in the surveillance of head and neck squamous cell carcinoma. Challenges to overcome, prior to clinical implementation, are also discussed.

Integrative computational analysis of transcriptional and epigenetic alterations implicates DTX1 as a putative tumor suppressor gene in HNSCC

Over a half million new cases of Head and Neck Squamous Cell Carcinoma (HNSCC) are diagnosed annually worldwide, however, 5 year overall survival is only 50% for HNSCC patients. Recently, high throughput technologies have accelerated the genome-wide characterization of HNSCC. However, comprehensive pipelines with statistical algorithms that account for HNSCC biology and perform independent confirmatory and functional validation of candidates are needed to identify the most biologically relevant genes. We applied outlier statistics to high throughput gene expression data, and identified 76 top-scoring candidates with significant differential expression in tumors compared to normal tissues. We identified 15 epigenetically regulated candidates by focusing on a subset of the genes with a negative correlation between gene expression and promoter methylation. Differential expression and methylation of 3 selected candidates (BANK1, BIN2, and DTX1) were confirmed in an independent HNSCC cohorts from Johns Hopkins and TCGA (The Cancer Genome Atlas). We further performed functional evaluation of NOTCH regulator, DTX1, which was downregulated by promoter hypermethylation in tumors, and demonstrated that decreased expression of DTX1 in HNSCC tumors maybe associated with NOTCH pathway activation and increased migration potential.

HNSCC subverts PBMCs to secrete soluble products that promote tumor cell proliferation

The immune system detects shifts from homeostasis and eliminates altered cells. However, neoplastic cells can modulate the host response to escape immunosurveillance thereby allowing tumor progression. Head and neck squamous cell carcinoma (HNSCC) is one of the most immunosuppressive cancers but its role in co-opting the immune system to actively promote tumor growth has not been investigated. In this study, we investigated the influence of soluble factors secreted by HNSCC and non-neoplastic epithelial cells on proliferation, apoptosis, activation, cytokine gene expression and phenotypic polarization of immune cells of healthy donors. Then, we determined if the immunomodulation caused by HNSCC-derived soluble products leads to immunosubversion by assessing proliferation, migration and survival of tumor cells exposed to soluble products secreted by modulated immune cells or co-cultured with immune cells. Soluble products from HNSCC inhibited proliferation and cytokine expression in PBMCs, activation of T cells, and polarization of CD4+ towards the Th17 phenotype. These changes co-opted the immune cells to favor cell proliferation, survival and migration of HNSCC. This immunosubversion was observed both indirectly with secreted products and with direct cell-to-cell contact. We conclude that HNSCC-derived secreted products create an immunosuppressive environment that facilitates evasion of tumor cells and subverts the immune cells into a pro-tumoral phenotype.

Potential Markers of Tongue Tumor Progression Selected by cDNA Micro Array

Squamous cell carcinoma (SCC), the most frequent malignant tumor of the oral cavity, generally exhibits a poor prognosis and metastases are the main cause of death. This tumor often arises from pre-malignant lesions. To date, it is difficult to predict if and which pre-malignant lesions may progress into oral SCC using traditional methods. For these reasons, several studies are trying to identify markers useful in the progression of pre-malignant lesions and tumors. To define the genetic expression profile of tongue tumor progression we compared 9 dysplasias (DS), 8 tumors without metastasis (TWM), 11 metastasizing SCCs (MT) of the tongue, and a baseline of 11 normal tissues by using cDNA microarray containing 19.2 K clones. We initially applied hierarchical agglomerative clustering based on information from all 6026 clones. Results were obtained by performing a two steps analysis: a Significance Analysis of Microarray (SAM) and a Gene Ontology search. One hundred and five clones have statistically significant different expression levels (FDR <0.01) between DS and TWM, whereas 570 genes have statistically significant difference expression levels between TWM and MT (FDR <0.01) as detected by SAM. By filtering with FatiGo only 33 genes were differentially expressed in TWN, respect to DS, whereas 155 genes were differentially expressed in MT respect to TWM. We detected some genes which encode for oncogenes, transcription factors and cell cycle regulators as potential markers of DS progression. Examples are BAG4, PAX3 and CCNI, respectively. Among potential markers of metastases are some genes related to cell mobility (TSPAN-2 and SNTA1), intercellular adhesion (integrin alpha 7) or extracellular matrix components (ADAMTS2 and cathepsin O). Additionally, under-expressed genes encoded apoptosis-related proteins (PDCD4 and CASP4). In conclusion, we identified several genes differentially expressed in tumor progression which can potentially help in better classifying premalignant lesions and tongue SCCs.

Gene expression profiling for the purposes of biomarker discovery in oral potentially malignant lesions: a systematic review

Early and accurate diagnosis of oral potentially malignant lesions (OPML) is of critical importance in preventing malignant transformation. Although histopathological interpretation of the degree of epithelial dysplasia is considered the gold standard for diagnosis, this method is subjective and lacks sensitivity. Therefore, many attempts have been made to identify objective molecular biomarkers to improve diagnosis. Microarray technology has the advantage of screening the expression of the whole genome making it one of the best tools for searching for novel biomarkers. However, microarray studies of OPMLs are limited, and no review has been published to highlight and compare their findings. In this paper, we systematically review all studies that have incorporated microarray analyses in the investigation of gene profile alterations in OPMLs and suggest a set of commonly dysregulated genes across multiple gene expression profile studies. This list of common genes may help focus selection of markers for further analysis regarding their importance in the diagnosis and prognosis of OPMLs.

Gene expression analysis of SCC tumor cells in muscle tissue

The purpose of this study was to evaluate microarray technology of HNSCC cells in muscle tissue. 200 SCCVII tumor cells were injected intramuscularly into the right flank of ten C3H/Km mice each. One week later the animals were killed and the tissue taken out. Histology (H&E staining) and microarray of the tissue were performed. Histology showed a few tumor cells between the muscle fibers. Microarray technology showed different gene expression pattern of the muscle tissue with SCCVII cells in comparison with normal muscle tissue. Only those genes showing a fold change difference of 5 or higher were considered. Gene expression analysis revealed changes in the expression levels of SCCVII cells in muscle tissue in 220 genes. Significant gene expression differences between SCCVII cells in muscle tissue and pure muscle tissue could be seen.

The level of secretory leukocyte protease inhibitor is decreased in metastatic head and neck squamous cell carcinoma

Head and neck squamous cell carcinomas (HNSCC) represent the sixth largest group among all human malignancies. However, the exact molecular mechanisms inducing the genesis and the progression of metastasis in these tumors are poorly understood. The identification of molecular alterations involved in metastasis of HNSCC might influence the value of clinical diagnostics, impact therapy strategies and finally improve the prognosis of the patients. The purpose of this study was to identify clinically relevant alterations at the transcriptional and translational levels, when comparing metastatic (N+) and non-metastatic (N0) primary HNSCC. Three transcripts HERPUD1, SLPI and RAD51 were selected for further validation based on their association with carcinogenesis and metastasis. Quantitative real-time-PCR was performed to determine the mRNA expression levels. For subsequent confirmation of the results, immunohistochemistry was performed applying a monoclonal anti-SLPI antibody on 121 HNSCC tumor specimens (N0, n=40; N+, n=81). In metastatic primary cancer, SLPI mRNA showed 5.9-fold lower expression in comparison with non-metastatic primary cancer (p=0.0092). Immunohistochemical staining revealed a fold change of -1.79 between the N+ and the N0 group (p=0.0002). The results presented here clearly indicate the repression of SLPI, measurable on both, mRNA and protein levels in metastatic primary HNSCC as compared to non-metastatic HNSCC. Therefore, it can be assumed that SLPI might have a substantial protective effect on the metastasis process of HNSCC.

Gene expression profiling of oral squamous cell carcinoma by differential display rt-PCR and identification of tumor biomarkers

Oral squamous cell carcinoma (OSCC) is the sixth most common cancer worldwide. Despite progress in therapeutic and surgical treatments, its survival period at 5 years is the lowest among major cancers, and remains unchanged in the last two decades. The growing epidemiological relevance of oral cancer emphasizes the need to better understand the molecular mechanisms underlying this disease and identify predictive tumor markers and therapeutic targets. To this end, we have used the DDRT-PCR analysis to profile the oral tumor transcriptome and identify differentially regulated genes that may be used as potential biomarkers and therapeutic targets. Our DDRT-PCR analysis identified 51 differentially expressed fragments, of which 25 were revalidated by reverse Northern analysis. Northern blot analysis further corroborated these findings for a few genes. In order to ascertain the utility of some of the identified genes as molecular markers and therapeutic targets, semi-quantitative RT-PCR analysis was carried out in a panel of matched oral normal and tumor samples, that confirmed GLTP, PCNA, RBM28, C17orf75 and DIAPH1 as significantly upregulated, whereas TNKS2, PAM and TUBB2C showed significant downregulation in tumor samples. Taken together, our DDRT-PCR analysis has revealed several genes, belonging to diverse cellular pathways, that have been associated with OSCC for the first time. Thus, these genes could be investigated as biomarkers and therapeutic targets for OSCC.

Dysregulated molecular networks in head and neck carcinogenesis

Multiple genetic and epigenetic events, including the aberrant expression and function of molecules regulating cell signaling, growth, survival, motility, angiogenesis, and cell cycle control, underlie the progressive acquisition of a malignant phenotype in squamous carcinomas of the head and neck (HNSCC). In this regard, there has been a recent explosion in our understanding on how extracellular components, cell surface molecules, and a myriad of intracellular proteins and second messenger systems interact with each other, and are organized in pathways and networks to control cellular and tissue functions and cell fate decisions. This emerging ability to understand the basic mechanism controlling inter- and intra-cellular communication has provided an unprecedented opportunity to understand how their dysregulation contributes to the growth and dissemination of human cancers. Here, we will discuss the emerging information on how the use of modern technologies, including gene array and proteomic studies, combined with the molecular dissection of aberrant signaling networks, including the EGFR, ras, NFkappaB, Stat, Wnt/beta-catenin, TGF-beta, and PI3K-AKT-mTOR signaling pathways, can help elucidate the molecular mechanisms underlying HNSCC progression. Ultimately, we can envision that this knowledge may provide tremendous opportunities for the diagnosis of premalignant squamous lesions, and for the development of novel molecular-targeted strategies for the prevention and treatment of HNSCC.

Low-level expression of microRNAs let-7d and miR-205 are prognostic markers of head and neck squamous cell carcinoma

Small noncoding microRNAs (miRNAs) have been shown to be abnormally expressed in every tumor type examined. The importance of miRNAs as potential cancer prognostic indicators is underscored by their involvement in the regulation of basic cellular processes such as cell proliferation, differentiation, and apoptosis. In this study, miRNA expression profiles of head and neck squamous cell carcinoma (HNSCC) tumor and adjacent normal tissue were examined by microarray analysis and validated by quantitative TaqMan real-time polymerase chain reaction. Using TaqMan real-time polymerase chain reaction we measured the quantitative associations between a subset of miRNAs identified on microarrays in primary tumors at diagnosis and cancer survival in a cohort of 104 HNSCC patients undergoing treatment with curative intent. The majority of miRNAs exhibiting altered expression in primary human HNSCC tumors (including miR-1, miR-133a, miR-205, and let-7d) show lower expression levels relative to normal adjacent tissue. In contrast, hsa-miR-21 is frequently overexpressed in human HNSCC tumors. Using univariate and multivariable statistical models we show that low levels of hsa-miR205 are significantly associated with loco-regional recurrence independent of disease severity at diagnosis and treatment. In addition, combined low levels of hsa-miR-205 and hsa-let-7d expression in HNSCC tumors are significantly associated with poor head and neck cancer survival Our results show that miRNA expression levels can be used as prognostic markers of head and neck cancer.

Searching for molecular markers in head and neck squamous cell carcinomas (HNSCC) by statistical and bioinformatic analysis of larynx-derived SAGE libraries

BACKGROUND

Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignancies in humans. The average 5-year survival rate is one of the lowest among aggressive cancers, showing no significant improvement in recent years. When detected early, HNSCC has a good prognosis, but most patients present metastatic disease at the time of diagnosis, which significantly reduces survival rate. Despite extensive research, no molecular markers are currently available for diagnostic or prognostic purposes.

METHODS

Aiming to identify differentially-expressed genes involved in laryngeal squamous cell carcinoma (LSCC) development and progression, we generated individual Serial Analysis of Gene Expression (SAGE) libraries from a metastatic and non-metastatic larynx carcinoma, as well as from a normal larynx mucosa sample. Approximately 54,000 unique tags were sequenced in three libraries.

RESULTS

Statistical data analysis identified a subset of 1,216 differentially expressed tags between tumor and normal libraries, and 894 differentially expressed tags between metastatic and non-metastatic carcinomas. Three genes displaying differential regulation, one down-regulated (KRT31) and two up-regulated (BST2, MFAP2), as well as one with a non-significant differential expression pattern (GNA15) in our SAGE data were selected for real-time polymerase chain reaction (PCR) in a set of HNSCC samples. Consistent with our statistical analysis, quantitative PCR confirmed the upregulation of BST2 and MFAP2 and the downregulation of KRT31 when samples of HNSCC were compared to tumor-free surgical margins. As expected, GNA15 presented a non-significant differential expression pattern when tumor samples were compared to normal tissues.

CONCLUSION

To the best of our knowledge, this is the first study reporting SAGE data in head and neck squamous cell tumors. Statistical analysis was effective in identifying differentially expressed genes reportedly involved in cancer development. The differential expression of a subset of genes was confirmed in additional larynx carcinoma samples and in carcinomas from a distinct head and neck subsite. This result suggests the existence of potential common biomarkers for prognosis and targeted-therapy development in this heterogeneous type of tumor.

Examination of oral cancer biomarkers by tissue microarray analysis

OBJECTIVE

To validate the DNA microarray results on a subset of genes that could potentially serve as biomarkers of oral squamous cell carcinoma (OSCC) by examining their expression with an alternate quantitative method and by assessing their protein levels.

DESIGN

Based on DNA microarray data from our laboratory and data reported in the literature, we identified 6 potential biomarkers of OSCC to investigate further. We used quantitative real-time polymerase chain reaction to examine expression changes of CDH11, MMP3, SPARC, POSTN, TNC, and TGM3 in OSCC and histologically normal control tissues. We further examined validated markers at the protein level by immunohistochemical analysis of OSCC tissue microarray sections.

RESULTS

Quantitative real-time polymerase chain reaction analysis revealed upregulation of CDH11, SPARC, POSTN, and TNC gene expression and decreased TGM3 expression in OSCC tissue compared with control tissue; MMP3 was not found to be differentially expressed. In tissue microarray immunohistochemical analyses, SPARC (secreted protein, acidic, rich in cysteine), periostin, and tenascin C exhibited increased protein expression in tumor tissue compared with control tissue, and their expression was primarily localized within tumor-associated stroma rather than tumor epithelium. Conversely, transglutaminase 3 protein expression was found only within keratinocytes in control tissue and was significantly downregulated in cancer cells.

CONCLUSIONS

Of 6 potential gene markers of OSCC, initially identified by DNA microarray analyses, differential expression of CDH11, SPARC, POSTN, TNC, and TGM3 were validated by quantitative real-time polymerase chain reaction. Differential expression and localization of proteins encoded by SPARC, POSTN, TNC, and TGM3 were clearly shown by tissue microarray immunohistochemical analysis.

Three-dimensional tissue cytometer based on high-speed multiphoton microscopy

Image cytometry technology has been extended to 3D based on high-speed multiphoton microscopy. This technique allows in situ study of tissue specimens preserving important cell-cell and cell-extracellular matrix interactions. The imaging system was based on high-speed multiphoton microscopy (HSMPM) for 3D deep tissue imaging with minimal photodamage. Using appropriate fluorescent labels and a specimen translation stage, we could quantify cellular and biochemical states of tissues in a high throughput manner. This approach could assay tissue structures with subcellular resolution down to a few hundred micrometers deep. Its throughput could be quantified by the rate of volume imaging: 1.45 mm(3)/h with high resolution. For a tissue containing tightly packed, stratified cellular layers, this rate corresponded to sampling about 200 cells/s. We characterized the performance of 3D tissue cytometer by quantifying rare cell populations in 2D and 3D specimens in vitro. The measured population ratios, which were obtained by image analysis, agreed well with the expected ratios down to the ratio of 1/10(5). This technology was also applied to the detection of rare skin structures based on endogenous fluorophores. Sebaceous glands and a cell cluster at the base of a hair follicle were identified. Finally, the 3D tissue cytometer was applied to detect rare cells that had undergone homologous mitotic recombination in a novel transgenic mouse model, where recombination events could result in the expression of enhanced yellow fluorescent protein in the cells. 3D tissue cytometry based on HSMPM demonstrated its screening capability with high sensitivity and showed the possibility of studying cellular and biochemical states in tissues in situ. This technique will significantly expand the scope of cytometric studies to the biomedical problems where spatial and chemical relationships between cells and their tissue environments are important.

Bioinformatics Processing of Protein and Transcript Profiles of Normal and Transformed Cell Lines Indicates Functional Impairment of Transcriptional Regulators in Buccal Carcinoma

Normal and two transformed buccal keratinocyte lines were cultured under a standardized condition to explore mechanisms of carcinogenesis and tumor marker expression at transcript and protein levels. An approach combining three bioinformatic programs allowed coupling of abundant proteins and large-scale transcript data to low-abundance transcriptional regulators. The analysis identified previously proposed and suggested novel protein biomarkers, gene ontology categories, molecular networks, and functionally impaired key regulator genes for buccal/oral carcinoma.

Tumor-specific genetic expression profile of metastatic oral squamous cell carcinoma

BACKGROUND

Metastasis is the most important predictor of survival in patients with oral squamous cell carcinoma (OSCC). We tested the hypothesis that there is a genetic expression profile associated with OSCC metastasis.

METHODS

We obtained samples from 6 OSCC node-positive primary tumors and their matched metastatic lymph nodes, and 5 OSCC node-negative primary tumors. Using laser capture microdissection, we isolated OSCC cells from metastatic lymph nodes and compared them with those from matched primary tumors and unmatched node-negative primary tumors using Affymetrix Human Genome Focus arrays.

RESULTS

Comparison of tumor cells from the lymph nodes with those from the unmatched, node-negative primary tumors revealed differential expression of 160 genes. Hierarchical clustering and principal component analysis using this 160-gene set showed that the node-negative samples were distinguishable from both, node-positive primary tumors and tumors in the lymph nodes. Many of the expression changes found in the metastatic cells from the lymph nodes were also found in the node-positive primary tumors. Immunohistochemical analysis for transglutaminase-3 and keratin 16 confirmed the differential genetic expression for these genes.

CONCLUSION

These preliminary results suggest that there may be a metastatic gene expression profile present in node-positive primary OSCC.

Identification of differentially expressed genes in tobacco chewing-mediated oral cancer by differential display-polymerase chain reaction

BACKGROUND

Identification of changes in gene expression that occur in oral squamous cell carcinoma (OSCC), after sufficient characterization, may yield novel molecular markers that may be useful in the diagnosis and disease management of oral cancer.

MATERIALS AND METHODS

We used differential display-polymerase chain reaction (DD-PCR) to study critically the global gene expression profile of the oral tumour versus normal epithelium. The differential expression of fished out cDNA were confirmed by Northern blot and reverse transcription-PCR. The differentially expressed cDNA were cloned, sequenced and matched for homology in the GenBank database.

RESULTS

We identified 13 cDNA that showed differential expression. Out of these we selected four cDNA showing consistent reproducibility. One of the cDNA expressed exclusively in tumour had a homology to DEK, a putative oncogene, and is linked to leukaemia, various cancers, HIV infection and several autoimmune disorders. Another cDNA expressed only in tumour had homology to sorcin protein. Sorcin is a 22-kDa calcium-binding protein and is associated with drug resistance in various cell lines. Apparently, sorcin expression might be responsible for drug resistance of OSCC and poor prognosis. Another cDNA showing 10 times overexpression in cheek tumour as compared to normal had homology to CDK6 gene. Hence, it seems from our results that CDK6 is dysregulated during oral carcinogenesis. The fourth cDNA was overexpressed in normal as compared to cheek tumour, but did not show any match in BLAST search.

CONCLUSIONS

We conclude that there is an enormous significance of these differentially expressed cDNA in oral cancer progression as they can serve as cancer markers to be used for diagnosis and therapeutic intervention.

Identification of molecular targets for immunotherapy of patients with head and neck squamous cell carcinoma

To identify molecular targets for immunotherapy of head and neck squamous cell carcinoma (HNSCC) patients, we analyzed gene expression profile in matched tumor (HN) and normal fibroblast (FB) cell lines established from a HNSCC patient using microarray technique followed by real-time RT-PCR. Screening against a series of established normal and malignant cell lines followed by screening against a panel of normal human tissues led to the identification of 7 genes (AREG, CDH3, KLK10, NmU, SLPI, ANAX3 and MAL2), which were over-expressed at least 10-fold in tumors over any of the normal tissues. We determined the expression of mRNA encoding these genes against a panel of 15 HNSCC primary tumor samples. Relative expression of these genes was at least 20-fold. Expression of AREG, CDH3, KLK10, NmU and SLPI at the protein level was determined by immunohistochemistry in seven supraglottic laryngeal cancer specimens. All five proteins were expressed in these tumor samples with high intensity. We conclude that these molecules are potential targets for immunotherapy of HNSCC patients.

Identification of differentially expressed genes in HPV-positive and HPV-negative oropharyngeal squamous cell carcinomas

Human papillomaviruses (HPVs) have been implicated in the pathogenesis of a subset of squamous cell carcinoma of the head and neck (SCCHN). The goal of this study was to compare the cellular gene expression profiles of HPV-positive and HPV-negative oropharyngeal carcinomas with those of the normal oral epithelium. Using Affymetrix Human U133A GeneChip, our results showed that 397 genes were differentially expressed in HPV-positive SCCHN compared to the normal oral epithelium. The upregulated genes included those involved in cell cycle regulation (CDKN2A), cell differentiation (SFRP4) and DNA repair (RAD51AP1), while the downregulated genes included those involved in proteolysis (PRSS3). We also found 162 differentially expressed genes in HPV-negative SCCHN compared to the normal oral mucosa. The upregulated genes included those involved in cell proliferation (AKR1C3) and transcription regulation (SNAPC1), while downregulated genes included those involved in apoptosis (CLU) and RNA processing (RBM3). Our studies also identified a subgroup of 59 differentially expressed genes in HPV-positive SCCHN as compared to both HPV-negative SCCHN and normal oral tissues. Such upregulated genes included those involved in nuclear structure and meiosis (SYCP2), DNA repair (RFC5), and transcription regulation (ZNF238). Genes involved in proteolysis (KLK8) and signal transduction (CRABP2) were found to be downregulated in HPV-positive SCCHN. The results of GeneChip experiments were validated by quantitative real-time RT-PCR analysis of a few representative genes. Our results reveal specific gene expression patterns in HPV-positive and HPV-negative oropharyngeal squamous carcinomas that may serve as potential biomarkers for the development of SCCHN.

Association between high collagenase-3 expression levels and poor prognosis in patients with head and neck cancer

BACKGROUND

Squamous cell carcinoma of the head and neck (HNSCC) is a common cancer type. The ability for curative treatment with surgery and radiotherapy (RT) is usually highly dependent on tumor stage at the time of diagnosis.

METHODS

The purpose of this study was to determine whether the expression of a cancer-specific proteinase, collagenase-3 (matrix metalloproteinase-13 [MMP-13]), is associated with survival parameters in patients with HNSCC. We studied MMP-13 expression in tumors of 81 patients with stage I-IV HNSCC treated with surgery alone or in combination with radiotherapy.

RESULTS

We found a subgroup of patients with high MMP-13 expression level in their tumors (>/=90% MMP-13-positive tumor cells) associated with unfavorable prognosis (median overall survival [OS], 11.8 vs 19.6 months, p = .032). In addition, the median disease-specific survival (DSS) time was markedly reduced in this subgroup (13.8 months vs 40.7 months, p = .062). When the subgroup of patients treated with a curative intent was studied, the same association was found in OS (13.8 vs 24.6 months, p = .023) and DSS (p = .004). In addition, there was a trend for association between >/=90% MMP-13 positivity and a recurrent tumor (p = .078) in curatively treated patients.

CONCLUSIONS

The short survival time associated with high MMP-13 expression levels could not be predicted by tumor size or local lymph node invasion. These results show that a high MMP-13 expression level is associated with aggressiveness of HNSCC and may have prognostic value in patient evaluation.

Animal models in oral cancer research

Biologically and clinically relevant animal models are essential in investigation of the progression of diseases and the elaboration of diagnostic or therapeutic protocols. The several rodent models used for in vivo evaluation for oral cancer employ chemical, transplantation and genetic (knockout and transgenic) induction methods. These models are described together with their advantages and disadvantages. Their optimization and application in future research may improve the early detection and treatment of oral cancer.

Genomic screening of head and neck cancer and its implications for therapy planning

Despite great technical improvements in radiotherapy and surgery, survival for patients with squamous cell carcinoma of the head and neck (SCCHN) has still not improved significantly over the last decades. Management of SCCHN has mainly been based on the TNM staging and site over this time period, even though we know that there are individual differences independent of the TNM status. Individual patients with small tumors might have a poor outcome, and patients with large tumors may end up with a favorable prognosis, despite their respective TNM classification. Recent molecular studies indicate that underlying genetic abnormalities may reflect such individual differences independently of TNM status. Individualization of treatment based on such biological properties of the tumors might result in less over as well as under treatment. However, the optimal panel of biomarkers to be used for the individualization of treatment is yet to be defined. A variety of laboratory techniques have been used in studies that investigate the individual biological features, spanning from methods that screen the genome for chromosomal and genetic abnormalities, e.g., cytogenetics, CGH, SKY and cDNA micro array, to detailed studies of specific aberrations. The purpose of this review of the literature is to summarize what has been studied so far by methods for genetic screening and to relate these results to the prediction of the clinical outcome. We conclude that it is time to focus future prospective studies on how treatment can be individualized based on biomarkers in combination with the macroscopic features of SCCHN.

Mcl-1, vascular endothelial growth factor-R2, and 14-3-3sigma expression might predict primary response against radiotherapy and chemotherapy in patients with locally advanced squamous cell carcinomas of the head and neck

PURPOSE

This study was done to explore whether the expression of a selected set of proteins could predict primary response to radiotherapy or concomitant radiotherapy and chemotherapy in patients with advanced head and neck cancer.

EXPERIMENTAL DESIGN

Forty-three pretreatment tumor biopsies were taken during diagnostic panendoscopy and examined for Mcl-1, vascular endothelial growth factor (VEGF)-R2, CD9, and 14-3-3sigma expression by immunohistochemistry. Forty-three patients underwent primary radiotherapy, of which, 29 patients received concomitant chemotherapy (low dose daily cisplatin, mitomycin C bolus). The primary end-point was locoregional tumor control 6 months after completion of radiotherapy. Mcl-1, VEGF-R2, CD9, and 14-3-3sigma expression were correlated with patients' primary response to radiotherapy and chemotherapy and with established clinicopathologic variables.

RESULTS

Thirty complete and 13 partial responses were observed in our patient group. High expression levels of Mcl-1 (P=0.021), VEGF-R2 (P=0.032), and 14-3-3sigma (P=0.013), but not of CD9, in tumor biopsies was correlated with complete response. Overexpression of at least two of the three aforementioned proteins in pretreatment biopsies predicted-with a likelihood of 80%-whether a patient would achieve complete response to radiotherapy and chemotherapy. However, if only one of these proteins is overexpressed, there is a likelihood of 84.6% that this patient would not completely respond to therapy.

CONCLUSION

Determining the expression levels of Mcl-1, VEGF-R2, and 14-3-3sigma may be helpful in predicting the early clinical response in head and neck tumor patients receiving primary radiotherapy and chemotherapy and may further allow a pretherapeutic selection of patients.

Increased expression of nuclear factor E2 p45-related factor 2 (NRF2) in head and neck squamous cell carcinomas

BACKGROUND

Head and neck squamous cell carcinoma (HNSCC) continues to cause significant morbidity and mortality. Overexpression of specific phase II gene products may represent an important biomarker. One regulator of phase II gene expression is the transcription factor nuclear factor E2 p45-related factor 2 (Nrf2). Nrf2 expression was evaluated in HNSCC, to determine whether it might serve as a biomarker for early detection of disease.

METHODS

A tissue microarray was constructed of 141 HNSCC biopsy cores from 47 HNSCCs. In addition, histologically normal squamous mucosa was obtained from 7 patients. Protein expression was evaluated by immunohistochemistry.

RESULTS

Nrf2 expression was increased in 91.5% of tumors. Expression of thioredoxin, a Nrf2-reguated gene product, was elevated in 75% of tumors. Keap1, which regulates the rate of Nrf2 ubiquitination and degradation, was relatively overexpressed in HNSCC compared with normal mucosa.

CONCLUSIONS

Nrf2 expression may be a possible HNSCC candidate biomarker.

Genetic expression profiles and biologic pathway alterations in head and neck squamous cell carcinoma

Head and neck squamous cell carcinoma (HNSCC) is associated with considerable mortality and morbidity and is a major public health concern worldwide. To date, > 20 studies incorporating DNA microarray analyses have examined genomewide genetic expression changes associated with the development of HNSCC. The authors identified published reports of genetic expression profiles of HNSCC by Medline database search. They performed a review of the reports to identify genes that have been found repeatedly to exhibit substantially altered expression in HNSCC. Genes with altered expression were subsequently examined in the context of defined biologic systems with the use of GenMapp 2.0 pathway analysis software. Genes most commonly found to exhibit altered expression were those encoding for cytoskeletal and extracellular matrix proteins, inflammatory mediators, proteins involved in epidermal differentiation, and cell adhesion molecules. Results of GenMapp 2.0 analysis suggested global down-regulation of genes that encode for ribosomal proteins and enzymes in the cholesterol biosynthesis pathway; and up-regulation of genes that encode for matrix metalloproteinases and genes that bear on the inflammatory response. The review indicated that there are several genes and pathways that exhibit substantially altered expression in cancerous versus noncancerous states across studies. Further investigation into the genomic, proteomic, and functional consequences of these gene expression alterations may provide insight into the pathophysiology of HNSCC.

Alpha B-crystallin, a new independent marker for poor prognosis in head and neck cancer

OBJECTIVES

Gene expression profiling has provided many insights into tumor progression but translation to clinical practice has been limited. We have previously identified a list of potential markers by the differences of expression profiling of seven matched head and neck cancer (HNSCC) tumors with autologous normal oral mucosa (NOM). Alpha B-crystallin (CRYAB) was in the top 5% of genes identified with statistically significant differences in expression between tumor and NOM at the mRNA level. The objective was to confirm this in routine paraffin sections at the protein level.

STUDY DESIGN

The level of alpha B-crystallin was determined in tumors of 62 HNSCC patients whose prognosis was known for 5 years.

METHODS

Immunohistochemical detection of alpha B-crystallin expression was performed on HNSCC paraffin sections.

RESULTS

Univariate survival analysis identified lack of alpha B-crystallin staining as an independent prognostic marker for disease-free interval (P < 0.001) and overall survival (P < 0.002) of HNSCC patients over the 5-year observation period. Notably, all 13 patients (100%), including 5 patients with nodal disease whose tumors lacked alpha B-crystallin had no recurrences (P < 0.001). Nineteen of 27 node-negative patients stained positive for alpha B-crystallin and seven of the 19 (36.8%) had recurrences.

CONCLUSION

Presence or absence of expression of alpha B-crystallin was a powerful marker for prognosis in this series of patients.

Gene expression profiling allows distinction between primary and metastatic squamous cell carcinomas in the lung

Lung neoplasms commonly develop in patients previously treated for head and neck carcinomas. The derivation of these tumors, either as new primary lung cancers or as metastatic head and neck cancers, is difficult to establish based on clinical or histopathologic criteria since both are squamous cell carcinomas and have identical features under light microscopy. However, this distinction has significant treatment and prognostic implications. Gene expression profiling was performed on a panel of 52 sequentially collected patients with either primary lung (n = 21) or primary head and neck (n = 31) carcinomas using the Affymetrix HG_U95Av2 high-density oligonucleotide microarray. Unsupervised hierarchical clustering with Ward linkage and the Pearson correlation metric was performed. To assess robustness, bootstrap resampling was performed with 1,000 iterations. A t test of the normalized values for each gene was used to determine the genes responsible for segregating head and neck from lung primary carcinomas, and those with the most differential expression were used for later analyses. In the absence of a large "test" set of tumors, we used a supervised leave-one-out cross-validation to test how well we could predict the tumor origin. Once a gene expression profile was established, 12 lung lesions taken from patients with previously treated head and neck cancers were similarly analyzed by gene expression profiling to determine their sites of origin. Unsupervised clustering analysis separated the study cohort into two distinct groups which reliably remained segregated with bootstrap resampling. Group 1 consisted of 30 tongue carcinomas. Group 2 consisted of 21 lung cancers and 1 tongue carcinoma. The clustering was not changed even when normal lung or tongue profiles were subtracted from the corresponding carcinomatous lesions, and a leave-one-out cross-validation showed a 98% correct prediction (see Supplementary Data 1). A minimum set of 500 genes required to distinguish these groups was established. Given the ability to segregate these lesions using molecular profiling, we analyzed the lung tumors of undetermined origin. All cases clearly clustered with either lung or tongue tumor subsets, strongly supporting our hypothesis that this technique could elucidate the tissue of origin of metastatic lesions. Although histologically similar, squamous cell carcinomas have distinct gene expression profiles based on their anatomic sites of origin. Accordingly, the application of gene expression profiling may be useful in identifying the derivation of lung nodules and consequently enhances treatment planning.

Gene expression profiling in squamous cell carcinoma of the oral cavity shows abnormalities in several signaling pathways

OBJECTIVES/HYPOTHESIS

To examine gene expression profiles in squamous cell carcinoma of the oral cavity (oral SCC) compared with histologically matched normal tissue.

STUDY DESIGN

Fresh-frozen tissue was prospectively obtained from individuals undergoing surgical resections for oral SCC.

METHODS

RNA was extracted from seven sets of oral SCC and matched normal tissue. Gene expression profiles were obtained by interrogation of Affymetrix Gene Chip Arrays with cRNA prepared from the tissue. Expression values were subjected to a paired t test. Genes that were judged to differ between oral SCC and normal tissue were annotated according to their name in the Affymetrix Netaffx database and according to their function as indicated by their Gene Ontology Consortium number.

RESULTS

Of the 10,599 probe sets that were analyzed, 523 genes were abnormally expressed in SCC of the head and neck (P < or = .01), and 417 of these genes were abnormally expressed in all seven tumors in the same manner. Hierarchical clustering of the 121 genes that were abnormally expressed in cancerous relative to normal tissue (P < or = .001) showed that the tissue segregated into two groups consisting of normal and transformed tissue, as expected. The abnormal expression of two genes that were up regulated in oral SCC (ADAM 12 and PTHLH) and two genes that were down-regulated in SCCHN (EMP-1 and P11) were confirmed by real-time polymerase chain reaction and immunohistochemistry (ADAM 12) using additional sets of tissue.

CONCLUSIONS

The data showed that oral SCC aberrantly express genes in cellular pathways related to proliferation, apoptosis, extracellular matrix degradation, adhesion, transforming growth factor-beta signaling, and transcription. Further work is needed to determine the role of these genes in the development and progression of oral SCC.

Microarray gene expression profiling of cell lines from primary and metastatic tongue squamous cell carcinoma: possible insights from emerging technology

BACKGROUND

To identify common gene expression patterns among two uniquely matched pairs of primary and metastatic oral squamous cell carcinoma (OSCC) cell lines derived from the same two patient donors.

METHODS

Two pairs of cell lines derived from the primary tumors and lymph node metastases of the same two patients were used to obtain microarray-based gene expression profiles. Reverse transcriptase-polymerase chain reaction and immunohistochemistry were used to confirm observed changes for some of the candidate genes.

RESULTS

Approximately 50% of the genes profiled were expressed in all four cell lines. Cluster analysis identified a group of 17 genes whose expression correlated inversely with metastatic progression. Only 10 common genes were differentially expressed in both pairs of primary and metastatic cells. A group of 28 highly expressed genes was common for both metastatic cell lines, among them some of the known metastasis-related genes such as laminin receptor, thymosin beta-4 and beta-10 and metallopanstimulin.

CONCLUSIONS

Groups of presumed metastasis-related genes are highly heterogeneous and vary significantly between the two patients. Thus, it is unlikely that the metastatic phenotype of these OSCC cells is acquired by de-regulation of a single gene or a group of few genes. Most likely, multiple combinations of differentially expressed genes are involved in facilitating metastatic spread of these oral carcinoma cell lines.

Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity

Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. A predictive rule was built using a support vector machine, and the accuracy of the rule was evaluated using crossvalidation on the original data set and prediction of an independent set of four patients. Metastatic primary tumors could be differentiated from nonmetastatic primary tumors by a signature gene set of 116 genes. This signature gene set correctly predicted the four independent patients as well as associating five lymph node metastases from the original patient set with the metastatic primary tumor group. We concluded that lymph node metastasis could be predicted by gene expression profiles of primary oral cavity squamous cell carcinomas. The presence of a gene expression signature for lymph node metastasis indicates that clinical testing to assess risk for lymph node metastasis should be possible.

Identification of differentially expressed genes in oral squamous cell carcinoma

Rapid advances in multimodality therapy have not significantly improved the overall 5-yr survival of oral cancer patients in the past two decades, thereby underscoring the need for molecular therapeutics. The development of new treatment strategies for more effective management of oral cancer requires identification of novel biological targets. Therefore, the aim of this study was to identify novel genes associated with oral tumorigenesis by comparing gene expression profile of oral squamous cell carcinomas (OSCCs) and matched nonmalignant oral epithelial tissues with differential display. Of the 180 differentially expressed cDNAs isolated, reamplified, and cloned into pGEMT-Easy Vector, 26 cDNAs were confirmed to be upregulated in OSCCs by reverse Northern blot analysis. The differentially expressed genes included components of immune system, signaling pathways, angiogenesis, cell structure, proliferation, apoptosis, cell-adhesion, and cellular metabolism. Reverse transcription (RT)-polymerase chain reaction (PCR) analysis of 15 OSCCs and matched nonmalignant oral tissues provided the first evidence that 14-3-3-zeta, melanoma metastasizing clone D (MEMD), KIAA0471, sperm protein 17 (SP17), TC21, and anti-TNF alpha antibody are upregulated in OSCCs. Immunohistochemical analysis confirmed overexpression of 14-3-3-zeta and TC21 protein, a member of the Ras family, in OSCCs as compared to histologically normal oral tissues validating the differential display analysis. Identification of six novel differentially expressed genes in oral tumors adds to the repertoire of genes associated with oral carcinogenesis and provides candidate potential biological targets for diagnosis and/or therapy. Further characterization of the 14 unknown differentially expressed cDNAs identified in this study may provide significant clues for understanding the molecular mechanisms underlying oral tumorigenesis.

Proteome-wide analysis of head and neck squamous cell carcinomas using laser-capture microdissection and tandem mass spectrometry

Remarkable progress has been made to identify genes expressed in squamous cell carcinomas of the head and neck (HNSCC). However, limited information is available on their corresponding protein products, whose expression, post-translational modifications, and activity are ultimately responsible for the malignant behavior of this tumor type. We have combined laser-capture microdissection (LCM) with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify proteins expressed in histologically normal squamous epithelium and matching SCC. The protein fraction from approximately 10,000-15,000 normal and tumor cells was solubilized, digested with trypsin, and the resulting peptides were analyzed by LC-MS/MS. Database searching of the resulting sequence information identified 30-55 proteins per sample. Keratins were the most abundant proteins in both normal and tumor tissues. Among the proteins differentially expressed, keratin 13 was much lower in tumors, whereas heat-shock (Hsp) family members were highly expressed in neoplastic cells. Wnt-6 and Wnt-14 were identified in both normal and tumor tissues, respectively, and placental growth factor (PIGF) was detected only in tumors. Immunohistochemical analysis of HNSCC tissues revealed lack of keratin 13 in tumor tissues, and strong staining in normal epithelia, and high expression of Hsp90 in tumors. Our study, by combining LCM and proteomic technologies, underscores the advantages of this approach to investigate complex changes at the protein level in HNSCC, thus complementing existing and emerging genomic technologies. These efforts may likely result in the identification of new biomarkers for HNSCC that can be used to diagnose disease, predict susceptibility, and monitor progression in individual patients.

New molecular diagnostic methods in head and neck cancer

Initial cancer evaluation includes assessment of histologic appearance, tumor grading, assessment of lymph node status, and presence of metastasis. However, traditional diagnostic methods such as histopathology and radiology are not sensitive enough to detect small numbers of cancer cells and are limited in their ability to predict response to treatment. Recently, there has been considerable progress in molecular diagnostics in these areas. Using molecular-based technologies, it is now possible to detect cancer early in asymptomatic individuals, identify minimal residual disease at histopathologic normal surgical margins, more precisely assess tumor burden in cancer patients, and more accurately assess the prognosis of the patients. Examples of these applications in the evaluation of head and neck cancer are reviewed here. However, despite the great promise of these new molecular approaches for cancer detection, much of the current technology limits their implementation into routine clinical use.

Gene profiling in squamous cell carcinoma of the head and neck

Survival for patients with squamous cell carcinoma of the head and neck (SCCHN) is still poor, despite great technical improvements in radiotherapy and surgery. A possible explanation for this is the lack of individualization in treatment based on biological properties of the tumors, resulting in over- as well as under treatment. Management of SCCHN has mainly been based on TNM classification over the last decades. However, a large amount of studies have shown that biomarkers may add prognostic information, independently of the TNM system, indicating that biological aggressiveness is not entirely reflected by the T- and N-status of the tumor. A conclusion to draw from this is that the present standardized treatment based on macroscopic features of the tumor in many cases will result in suboptimal treatment since important underlaying genetic properties of the tumors are not taken into consideration. A variety of laboratory techniques have been used in studies that investigate the individual biological features, spanning from methods that screen the genome for chromosomal and genetic abnormalities, e.g. cytogenetics, CGH, SKY, cDNA micro array to detailed studies of specific aberrations, e.g. southern, northern and western blotting, PCR based analysis and immunohistochemistry. Dysregulation of genes involved in e.g. cell cycle control, proliferation, drug resistance, and metastasis have been linked to outcome of treatment and survival. The purpose of this review of the literature was to summarize what has been studied so far by cDNA micro array techniques with regards to genetic screening in general and biomarkers that relate to response to therapy and prediction of clinical outcome in particular. We conclude that the majority of investigations that focus on gene profiling have a descriptive character, e.g. comparisons of tumor and normal cells, metastatic and non-metastatic properties, and differences between sub-sites and grades of differentiation. There are just a handful studies that so far have investigated how gene profiling can be used to predict clinical course.

Progression of head and neck squamous cell cancer

Squamous cell cancer in the head and neck region (HNSC) is unique concerning its progression since it remains locoregional for long time and visceral metastases develop only in a later stage of the disease. Accordingly, molecular markers of the local invasion and the lymphatic dissemination both have critical importance. HNSC progression is associated with deregulated control of cell proliferation and apoptosis but it seems equally significant the disregulation of the proteolytic machineries. Here we outline the lymphatic metastatic cascade for HNSC to depict key molecular determinants as possible prognostic factors or therapeutic targets identifying immunological selection as a major feature. Unlike in local spreading, invasive potential of cancer cells seems to be less significant during lymphatic dissemination due to the anatomical properties of the lymphatic vessels and tissues. There is a general believe that HNSC is one disease however, data indicate that the anatomical localization of the tumor (the "soil") such as oral, lingual, glottic or pharyngeal has a significant effect on the gene expression profile and corresponding biological behavior of HNSC. Furthermore, even the endocrine milieu of the host was proved to be influential in modulating the progression of HNSC. Gene expression profiling techniques combined with proteomics could help to define and select usefull genetic and biomarkers of progression of HNSC, some of them could well be potential novel therapeutic target.

Bayesian machine learning and its potential applications to the genomic study of oral oncology

With the completion of the Human Genome Project and the growing computational challenges presented by the large amount of genomic data available today, machine learning is becoming an integral part of biomedical research and plays a major role in the emerging fields of bioinformatics and computational biology. This situation offers unparalleled opportunities and unprecedented challenges to machine learning research in general and to Bayesian learning methods in particular. This paper outlines some of the opportunities and the challenges of this endeavor, it describes where the efforts of "cracking the code of life" can most benefit from a Bayesian approach, and it identifies some potential applications of Bayesian machine learning methods to the genomic analysis of squamous cell carcinomas of the head and neck.

Staging of the neck in patients with head and neck squamous cell cancer: Imaging techniques and biomarkers

Regional metastasis is an important factor in the treatment and prognosis of head and neck cancer patients. Current treatment strategies rely on staging based on the still limited accuracy of imaging techniques to detect regional metastases. If more certainty about the nodal status could be attained, treatment strategies concerning the neck could be better adjusted to the individual patient. The continuing improvement of established imaging techniques and the introduction of new imaging modalities will add to better staging. Moreover, the additional use of biomarkers studied on a protein, RNA or DNA level may provide even better information about the chance of occult nodal metastasis in head and neck cancer patients.

Molecular classification of oral cancer by cDNA microarrays identifies overexpressed genes correlated with nodal metastasis

Our purpose was to classify OSCCs based on their gene expression profiles, to identify differentially expressed genes in these cancers and to correlate genetic deregulation with clinical and histopathologic data and patient outcome. After conducting proof-of-principle experiments utilizing 6 HNSCC cell lines, the gene expression profiles of 20 OSCCs were determined using cDNA microarrays containing 19,200 sequences and the BTSVQ method of data analysis. We identified 2 sample clusters that correlated with the T3-T4 category of disease (p = 0.035) and nodal metastasis (p = 0.035). BTSVQ analysis identified a subset of 23 differentially expressed genes with the lowest QE scores in the cluster containing more advanced-stage tumors. Expression of 6 of these differentially expressed genes was validated by quantitative real-time RT-PCR. Statistical analysis of quantitative real-time RT-PCR data was performed and, after Bonferroni correction, CLDN1 overexpression was significantly correlated with the cluster containing more advanced-stage tumors (p = 0.007). Despite the clinical heterogeneity of OSCC, molecular subtyping by cDNA microarray analysis identified distinct patterns of gene expression associated with relevant clinical parameters. Application of this methodology represents an advance in the classification of oral cavity tumors and may ultimately aid in the development of more tailored therapies for oral carcinoma.

Molecular classification of head and neck squamous cell carcinomas using patterns of gene expression

The prognostication of head and neck squamous cell carcinoma (HNSCC) is largely based upon the tumor size and location and the presence of lymph node metastases. Here we show that gene expression patterns from 60 HNSCC samples assayed on cDNA microarrays allowed categorization of these tumors into four distinct subtypes. These subtypes showed statistically significant differences in recurrence-free survival and included a subtype with a possible EGFR-pathway signature, a mesenchymal-enriched subtype, a normal epithelium-like subtype, and a subtype with high levels of antioxidant enzymes. Supervised analyses to predict lymph node metastasis status were approximately 80% accurate when tumor subsite and pathological node status were considered simultaneously. This work represents an important step toward the identification of clinically significant biomarkers for HNSCC.

Advantages and limitations of microarray technology in human cancer

Cancer is a highly variable disease with multiple heterogeneous genetic and epigenetic changes. Functional studies are essential to understanding the complexity and polymorphisms of cancer. The final deciphering of the complete human genome, together with the improvement of high throughput technologies, is causing a fundamental transformation in cancer research. Microarray is a new powerful tool for studying the molecular basis of interactions on a scale that is impossible using conventional analysis. This technique makes it possible to examine the expression of thousands of genes simultaneously. This technology promises to lead to improvements in developing rational approaches to therapy as well as to improvements in cancer diagnosis and prognosis, assuring its entry into clinical practice in specialist centers and hospitals within the next few years. Predicting who will develop cancer and how this disease will behave and respond to therapy after diagnosis will be one of the potential benefits of this technology within the next decade. In this review, we highlight some of the recent developments and results in microarray technology in cancer research, discuss potentially problematic areas associated with it, describe the eventual use of microarray technology for clinical applications and comment on future trends and issues.

Modulation of GdCl3 and Angelica Sinensis polysaccharides on differentially expressed genes in liver of hepatic immunological injury mice by cDNA microarray

AIM: To study the modulating effect of GdCl₃ and Angelica Sinensis polysaccharides (ASP) on differentially expressed genes in liver of hepatic immunological mice by cDNA microarray.

METHODS: Hepatic immunological injury was induced by lipopolysaccharide (LPS ip, 0.2 mg·kg^-1) in bacillus calmetteguerin (BCG ip, 1 mg·kg^-1) primed mice; A single dose of 20 mg·kg^-1 GdCl₃ was simultaneously pretreated and 30 mg·kg^-1 ASP (ig, qd × 7 d) was administrated when the BCG+LPS was primed. The mice were sacrificed at the end of the 7^th day after ip LPS for 6 h and the liver was removed quickly. The PCR products of 512 genes were spotted onto a chemical material-coated glass plate in array. The DNAs were fixed to the glass plate after series of treatments. The total RNAs were isolated from the liver tissue, and were purified to mRNAs by Oligotex. Both mRNAs from the normal liver tissue and the liver tissue from the mice with hepatic immunological injury or that pretreated with GdCl₃ or ASP were reversely transcribed to cDNAs with the incorporation of fluorescent dUTP to prepare the hybridization probes. The mixed probes were hybridized to the cDNA microarray. After high-stringent washing, the cDNA microarray was scanned for fluorescent signals and showed differences between the two tissues.

RESULTS: Among the 512 target genes, 18 differed in liver tissue of hepatic immunological injury mice, and 6 differed in those pretreated by ASP, 7 differed in those pretreated by GdCl₃.

CONCLUSION: cDNA microarray technique is effective in screening the differentially expressed genes between two different kinds of tissue. Further analysis of those obtained genes will be helpful to understand the molecular mechanism of hepatic immunological injury and to study the intervention of drug. Both ASP and GdCl₃ can decrease the number of the differentially expressed genes in liver tissue of mice with hepatic immunological injury.