In DNA-based methods, cDNA microarray is a powerful technique
It has become a comprehensive analysis of gene expression in the standard tool for molecular
Has succeeded in identifying a number of important genes, biology, or even
Lung (18,19,98 to 101), down regulation in various tumors, including. Some
The group reported cDNA microarray - based on a potentially useful
Molecular classification (18,19,98), predict (99-101), and the address of the evaluation
Treatment of lung cancer (102). Most studies have focused on the molecular classification
Shows the features of the cDNA microarray, the classification to summarize the morphological
Lung cancer (18.19).
Of Poti. Advanced (100) genomic strategy for determining the fate of
By identifying the gene expression profiles predicted by the non-small cell lung cancer early
Risk of recurrence of a group of 89 patients with tumors of stage II and I. After that,
Did not predict the independent features two of the group as a whole is evaluated to find
72, 79% prediction accuracy, respectively. In addition, a subset
Was detected for patients with stage I disease with a high risk of relapse
Can be treated with chemotherapy is better than the Assistant. Using the cDNA
Quantitative polymerase chain reaction (PCR) in combination with the strategy of microarray
Analysis of Chen. (101) (DUSP6, MMD, the signing of five genes.
STAT1 associated with clinical outcome in stage ErbB3 and LCK) I,
Second, lung non-small cell cancer. Was approved on this form signing of five genes in two independent
The groups associated with survival and overall survival and relapse rate. Of
Response to treatment, and others Oshita. Showed (102), which
Features of gene expression in the peripheral blood of 31 patients obtained
Chemotherapy (paclitaxel and irinotecan), correlated with the diagnosis of the patient
Patients with advanced NSCLC. The multivariate analysis showed that the protein encoded by the genes
And became an independent predictor of IgA 1alfa - phosphatase, interleukin
Sensitivity (102). Used for the sensitivity of the laboratory data in conjunction with the drug
CDNA microarray data, it Poti. Advanced (103) gene expression signature
It expects the sensitivity to chemotherapy in several individual
Human solid tumors, including tumors of the lung. And all signatures are checked
Suspension of independent groups of data from studies of the cell. The signing of the interest,
In addition, when combined, can be developed to respond to the individual factors to predict
Expected to respond to multiple formats.
Predict the molecular patterns of lung metastases, compared with a flower Statement
And others. (104) and Kikuchi et al. Studied (105) features of gene expression in the brains of
The discovery of the gene in 1561 is consistent with a malignant tumor of the primary lung adenocarcinoma
Sabotage. Classification and more functional genes into seven categories: cell
Cycle of DNA damage and repair of cells and signal transduction molecules, transcription factors, invasion and metastasis, adhesion, and blood vessels. Interestingly, the gene
Was upregulated adhesion, mobility, and that participate in the blood vessels, consistent and
Metastatic brain tumors, while the genes responsible for programmed cell death, nerve, and
It was a great inhibition of down regulation of blood vessels, making the collective
This spread of cancer cells (104 105) are sensitive to.
Although the prognostic gene expression signatures for survival in the early stages of lung cancer
Cancer is necessary to create those proposed for clinical use.
Subject in different population groups, the performance of different laboratories.
In this scenario, of Shedden. Studied (106) and prognostic clinical and pathological
The relationship between molecular prognostic factors. These authors
But one big, training, testing, to a multi-center, to verify the validity of the study that distinguishes the blind
The performance of different forecasting models based on gene expression of 442
Adenocarcinoma of the lung. Investigated whether gene expression profiles, we are either
Sex or something that only a set of clinical variables such as age and stage of
Used to predict the survival of public life in patients with cancer of the lung. After a number of buildings
The researchers found associated with the degree of risk models in patients, most of them
In conjunction with the features of gene expression, and the good performance of these models
Clinical trials alike. These findings support the idea of using a combination of genes
Requires the expression profiles and clinical variables to predict when building
Model to detect lung cancer early.
It has become a comprehensive analysis of gene expression in the standard tool for molecular
Has succeeded in identifying a number of important genes, biology, or even
Lung (18,19,98 to 101), down regulation in various tumors, including. Some
The group reported cDNA microarray - based on a potentially useful
Molecular classification (18,19,98), predict (99-101), and the address of the evaluation
Treatment of lung cancer (102). Most studies have focused on the molecular classification
Shows the features of the cDNA microarray, the classification to summarize the morphological
Lung cancer (18.19).
Of Poti. Advanced (100) genomic strategy for determining the fate of
By identifying the gene expression profiles predicted by the non-small cell lung cancer early
Risk of recurrence of a group of 89 patients with tumors of stage II and I. After that,
Did not predict the independent features two of the group as a whole is evaluated to find
72, 79% prediction accuracy, respectively. In addition, a subset
Was detected for patients with stage I disease with a high risk of relapse
Can be treated with chemotherapy is better than the Assistant. Using the cDNA
Quantitative polymerase chain reaction (PCR) in combination with the strategy of microarray
Analysis of Chen. (101) (DUSP6, MMD, the signing of five genes.
STAT1 associated with clinical outcome in stage ErbB3 and LCK) I,
Second, lung non-small cell cancer. Was approved on this form signing of five genes in two independent
The groups associated with survival and overall survival and relapse rate. Of
Response to treatment, and others Oshita. Showed (102), which
Features of gene expression in the peripheral blood of 31 patients obtained
Chemotherapy (paclitaxel and irinotecan), correlated with the diagnosis of the patient
Patients with advanced NSCLC. The multivariate analysis showed that the protein encoded by the genes
And became an independent predictor of IgA 1alfa - phosphatase, interleukin
Sensitivity (102). Used for the sensitivity of the laboratory data in conjunction with the drug
CDNA microarray data, it Poti. Advanced (103) gene expression signature
It expects the sensitivity to chemotherapy in several individual
Human solid tumors, including tumors of the lung. And all signatures are checked
Suspension of independent groups of data from studies of the cell. The signing of the interest,
In addition, when combined, can be developed to respond to the individual factors to predict
Expected to respond to multiple formats.
Predict the molecular patterns of lung metastases, compared with a flower Statement
And others. (104) and Kikuchi et al. Studied (105) features of gene expression in the brains of
The discovery of the gene in 1561 is consistent with a malignant tumor of the primary lung adenocarcinoma
Sabotage. Classification and more functional genes into seven categories: cell
Cycle of DNA damage and repair of cells and signal transduction molecules, transcription factors, invasion and metastasis, adhesion, and blood vessels. Interestingly, the gene
Was upregulated adhesion, mobility, and that participate in the blood vessels, consistent and
Metastatic brain tumors, while the genes responsible for programmed cell death, nerve, and
It was a great inhibition of down regulation of blood vessels, making the collective
This spread of cancer cells (104 105) are sensitive to.
Although the prognostic gene expression signatures for survival in the early stages of lung cancer
Cancer is necessary to create those proposed for clinical use.
Subject in different population groups, the performance of different laboratories.
In this scenario, of Shedden. Studied (106) and prognostic clinical and pathological
The relationship between molecular prognostic factors. These authors
But one big, training, testing, to a multi-center, to verify the validity of the study that distinguishes the blind
The performance of different forecasting models based on gene expression of 442
Adenocarcinoma of the lung. Investigated whether gene expression profiles, we are either
Sex or something that only a set of clinical variables such as age and stage of
Used to predict the survival of public life in patients with cancer of the lung. After a number of buildings
The researchers found associated with the degree of risk models in patients, most of them
In conjunction with the features of gene expression, and the good performance of these models
Clinical trials alike. These findings support the idea of using a combination of genes
Requires the expression profiles and clinical variables to predict when building
Model to detect lung cancer early.
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