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Article Open Access

Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination

  • 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: 8545-8555
    |
    Published online on: April 4, 2018
       https://doi.org/10.3892/ol.2018.8418
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Abstract

Lung cancer (LC) is a leading cause of cancer‑­associated mortalities worldwide. Adenocarcinoma (AC) and squamous cell carcinoma (SCC) account for ~70% of all cases of LC. Since AC and SCC are two distinct diseases, their corresponding prognostic genes associated with patient survival time are expected to be different. To date, only a few studies have distinguished patients with good prognosis from those with poor prognosis for each specific subtype. In the present study, the Cox filter model, a feature selection algorithm that identifies subtype‑specific prognostic genes to incorporate pathway information and eliminate redundant genes, was adopted. By applying the proposed model to data on non‑small cell lung cancer (NSCLC), it was demonstrated that both redundant gene elimination and search space restriction can improve the predictive capacity and the model stability of resulting prognostic gene signatures. To conclude, a pre‑filtering procedure that incorporates pathway information for screening likely irrelevant genes prior to complex downstream analysis is recommended. Furthermore, a feature selection algorithm that considers redundant gene elimination may be preferable to one without such a consideration.
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Copy and paste a formatted citation
Spandidos Publications style
Tian S: Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination. Oncol Lett 15: 8545-8555, 2018.
APA
Tian, S. (2018). Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination. Oncology Letters, 15, 8545-8555. https://doi.org/10.3892/ol.2018.8418
MLA
Tian, S."Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination". Oncology Letters 15.6 (2018): 8545-8555.
Chicago
Tian, S."Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination". Oncology Letters 15, no. 6 (2018): 8545-8555. https://doi.org/10.3892/ol.2018.8418
Copy and paste a formatted citation
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Spandidos Publications style
Tian S: Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination. Oncol Lett 15: 8545-8555, 2018.
APA
Tian, S. (2018). Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination. Oncology Letters, 15, 8545-8555. https://doi.org/10.3892/ol.2018.8418
MLA
Tian, S."Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination". Oncology Letters 15.6 (2018): 8545-8555.
Chicago
Tian, S."Identification of subtype‑specific prognostic signatures using Cox models with redundant gene elimination". Oncology Letters 15, no. 6 (2018): 8545-8555. https://doi.org/10.3892/ol.2018.8418
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