Application of differential display to identify genes for lung cancer detection in peripheral blood

Matsunaga, Hiroko; Hangai, Nanae; Aso, Yoshimasa; Okano, Kazunori; Kawamura, Masafumi; Kobayashi, K; Kambara, Hideki; Hoger, Jeff H.; Mitsuhashi, Masato

doi:10.1002/ijc.10534

Cited by 15 publications

(10 citation statements)

References 51 publications

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“…Subsequently, five markers were assessed as being differentially regulated in cancer cells in comparison with lung normal epithelial cells and, thus, as possible lung cancer-specific tumour markers (online supplementary table S2). To date, several genes have been used for the detection of lung adenocarcinoma cells, such as cytokine 19 and carcinoembryonic antigen [38,39]. However, both the sensitivity and specificity of these markers for detection of lung adenocarcinoma cells were not high enough to use as a single molecular marker in clinics.…”

Section: Discussionmentioning

confidence: 99%

Three-dimensional culture model to distinguish normal from malignant human bronchial epithelial cells

2013

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In the present study, we have developed an in vitro three-dimensional model to differentiate normal lung cells from lung cancer cells in order to study the mechanisms resulting in lung cancer.Using a reconstituted laminin-rich basement membrane (Matrigel), we were able to culture normal human bronchial epithelial cells and a subset of malignant cells. The two cell types can be readily distinguished by the ability of normal cells to express a structurally and functionally differentiated phenotype within Matrigel. Human bronchial epithelial cells embedded in Matrigel as single cells were able to form multi-cellular spherical colonies with a final size close to that of true acini in situ. Sections of mature spheres revealed a central lumen surrounded by polarised epithelial cells. In contrast, none of malignant cells tested, cell lines and lung biopsies responded to basement membrane by lumen formation.These results demonstrated that this in vitro glandular tumour model can be useful for studies of bronchial oncogene. Indeed, these findings may provide the basis for a rapid assay to discriminate normal human bronchial epithelial cells from their malignant counterparts.In conclusion, the three-dimensional tumour bronchial epithelial acinar-like sphere represents a novel in vitro model to further investigate pathophysiological functions resulting in lung cancer. @ERSpublications 3D tumour bronchial epithelial acinar-like sphere is novel in vitro model to investigate changes resulting in lung cancer

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Section: Discussionmentioning

confidence: 99%

Three-dimensional culture model to distinguish normal from malignant human bronchial epithelial cells

2013

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“…Up to the present, several genes have been used for detection of lung AdC cells in PB, such as CK19 and CEA (Matsunaga et al, 2002;Mitas et al, 2003). However, both the sensitivity and specificity of these genes for detection of lung AdC cells were not high enough to use as a single molecular marker in clinics.…”

Section: Discussionmentioning

confidence: 99%

Identification of tumor markers and differentiation markers for molecular diagnosis of lung adenocarcinoma

Nakamura¹,

Kobayashi²,

Nakamoto³

et al. 2006

Oncogene

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“…Recently, many proof-of-concept studies were reported to use blood gene expression profiles as surrogates for disease classification, prediction, and prognosis. For example, differential gene expression patterns were identified in peripheral blood for lung cancer [Matsunaga et al, 2002]. Chon et al [2004] were able to show gene expression signatures in leukocytes which differentiated untreated essential hypertension patients and controls, pointing to the possible role of inflammation in blood pressure control.…”

Section: Potential Use Of Endophenotypes Generated From Genome-wide Ementioning

confidence: 98%

Using endophenotypes for pathway clusters to map complex disease genes

Pan

Lynn

Chen

et al. 2006

Genetic Epidemiology

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Nature determines the complexity of disease etiology and the likelihood of revealing disease genes. While culprit genes for many monogenic diseases have been successfully unraveled, efforts to map major complex disease genes have not been as productive as hoped. The conceptual framework currently adopted to deal with the heterogeneous nature of complex diseases focuses on using homogeneous internal features of the disease phenotype for mapping. However, phenotypic homogeneity does not equal genotypic homogeneity. In this report, we advocate working with well-measured phenotypes portrayed by amounts of transcripts and activities of gene products or their metabolites, which are pertinent to relatively small pathway clusters. Reliable and controlled measures for oligogenic traits resulting from proper dissection efforts may enhance statistical power. The large amounts of information obtained on gene and protein expression from technological advances can add to the power of gene finding, particularly for diseases with unclear etiology. Data-mining tools for dimension reduction can assist biologists to reveal novel molecular endophenotypes. However, there are still hurdles to overcome, including high cost, relatively poor reproducibility and comparability among platforms, the cross-sectional nature of the information, and the accessibility of human tissues. Concerted efforts are required to carry out large-scale prospective studies that are integrated at the levels of phenotype characterization, high throughput experimental techniques, data analyses, and beyond.

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Application of differential display to identify genes for lung cancer detection in peripheral blood

Cited by 15 publications

References 51 publications

Three-dimensional culture model to distinguish normal from malignant human bronchial epithelial cells

Three-dimensional culture model to distinguish normal from malignant human bronchial epithelial cells

Identification of tumor markers and differentiation markers for molecular diagnosis of lung adenocarcinoma

Using endophenotypes for pathway clusters to map complex disease genes

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