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Article Open Access

Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients

  • Authors:
    • Suyan Tian
  • View Affiliations / Copyright

    Affiliations: Division of Clinical Research, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
    Copyright: © Tian et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 5464-5470
    |
    Published online on: August 28, 2017
       https://doi.org/10.3892/ol.2017.6835
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Abstract

Non‑small cell lung cancer (NSCLC) is a leading cause of cancer‑associated mortality worldwide. Adenocarcinoma (AC) and squamous cell carcinoma (SCC) are two primary histological subtypes of NSCLC, accounting for ~70% of lung cancer cases. Increasing evidence suggests that AC and SCC differ in the composition of genes and molecular characteristics. Previous research has focused on distinguishing AC from SCC or predicting the NSCLC patient survival rates using gene expression profiles, usually with the aid of a feature selection method. The present study conducted a pre‑filtering to identify the genes that have significant expression values and a high connection with other genes in the gene network, and then used the radial coordinate visualization method to identify relevant genes. By applying the proposed procedure to NSCLC data, it was demonstrated that there is a clear segmentation between AC and SCC, however not between patients with a good prognosis and bad prognosis. The focus of discriminating AC and SCC differs from survival prediction and there are almost no overlaps between the two gene signatures. Overall, a supervised learning method is preferred and future studies aiming to identify prognostic gene signatures with an increased prediction efficiency are required.
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Copy and paste a formatted citation
Spandidos Publications style
Tian S: Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients. Oncol Lett 14: 5464-5470, 2017.
APA
Tian, S. (2017). Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients. Oncology Letters, 14, 5464-5470. https://doi.org/10.3892/ol.2017.6835
MLA
Tian, S."Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients". Oncology Letters 14.5 (2017): 5464-5470.
Chicago
Tian, S."Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients". Oncology Letters 14, no. 5 (2017): 5464-5470. https://doi.org/10.3892/ol.2017.6835
Copy and paste a formatted citation
x
Spandidos Publications style
Tian S: Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients. Oncol Lett 14: 5464-5470, 2017.
APA
Tian, S. (2017). Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients. Oncology Letters, 14, 5464-5470. https://doi.org/10.3892/ol.2017.6835
MLA
Tian, S."Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients". Oncology Letters 14.5 (2017): 5464-5470.
Chicago
Tian, S."Classification and survival prediction for early‑stage lung adenocarcinoma and squamous cell carcinoma patients". Oncology Letters 14, no. 5 (2017): 5464-5470. https://doi.org/10.3892/ol.2017.6835
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