Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.

    I agree
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
Molecular Medicine Reports
Join Editorial Board Propose a Special Issue
Print ISSN: 1791-2997 Online ISSN: 1791-3004
Journal Cover
February-2018 Volume 17 Issue 2

Full Size Image

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
February-2018 Volume 17 Issue 2

Full Size Image

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML
Article Open Access

Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification

  • Authors:
    • Lei Yang
    • Lu Sun
    • Wei Wang
    • Hao Xu
    • Yi Li
    • Jia‑Ying Zhao
    • Da‑Zhong Liu
    • Fei Wang
    • Lin‑You Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150086, P.R. China, The First Cardiac Surgery Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150086, P.R. China
    Copyright: © Yang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3005-3013
    |
    Published online on: December 7, 2017
       https://doi.org/10.3892/mmr.2017.8220
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:



Abstract

The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanism. Three gene expression datasets of LAC samples were downloaded from the Gene Expression Omnibus database through pre‑set criteria and the expression data were processed using meta‑analysis. Differentially expressed genes (DEGs) between LAC samples of smokers and non‑smokers were identified using limma package in R. The classification accuracy of selected DEGs were visualized using hierarchical clustering analysis in R language. A protein‑protein interaction (PPI) network was constructed using gene interaction data from the Human Protein Reference Database for the DEGs. Betweenness centrality was calculated for each node in the network and genes with the greatest BC values were utilized for the construction of the support vector machine (SVM) classifier. The dataset GSE43458 was used as the training dataset for the construction and the other datasets (GSE12667 and GSE10072) were used as the validation datasets. The classification accuracy of the classifier was tested using sensitivity, specificity, positive predictive value, negative predictive value and area under curve parameters with the pROC package in R language. The feature genes in the SVM classifier were subjected to pathway enrichment analysis using Fisher's exact test. A total of 347 genes were identified to be differentially expressed between samples of smokers and non‑smokers. The PPI network of DEGs were comprised of 202 nodes and 300 edges. An SVM classifier comprised of 26 feature genes was constructed to distinguish between different LAC samples, with prediction accuracies for the GSE43458, GSE12667 and GSE10072 datasets of 100, 100 and 94.83%, respectively. Furthermore, the 26 feature genes that were significantly enriched in 9 overrepresented biological pathways, including extracellular matrix‑receptor interaction, proteoglycans in cancer, cell adhesion molecules, p53 signaling pathway, microRNAs in cancer and apoptosis, were identified to be smoking‑related genes in LAC. In conclusion, an SVM classifier with a high prediction accuracy for smoking and non‑smoking samples was obtained. The genes in the classifier may likely be the potential feature genes associated with the development of patients with LAC who smoke.
View Figures

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

View References

1 

Centers for Disease Control and Prevention (CDC), . State-specific trends in lung cancer incidence and smoking-United States, 1999–2008. MMWR Morb Mortal Wkly Rep. 60:1243–1247. 2011.PubMed/NCBI

2 

Nanavaty P, Alvarez MS and Alberts WM: Lung cancer screening: Advantages, controversies, and applications. Cancer Control. 21:9–14. 2014. View Article : Google Scholar : PubMed/NCBI

3 

Bryant A and Cerfolio RJ: Differences in epidemiology, histology, and survival between cigarette smokers and never-smokers who develop non-small cell lung cancer. Chest. 132:185–192. 2007. View Article : Google Scholar : PubMed/NCBI

4 

Nakamura H and Saji H: Worldwide trend of increasing primary adenocarcinoma of the lung. Surg Today. 44:1004–1012. 2014. View Article : Google Scholar : PubMed/NCBI

5 

Kong J, Xu F, He M, Chen K and Qian B: The incidence of lung cancer by histological type: A population-based study in Tianjin, China during 1981–2005. Respirology. 19:1222–1228. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Cancer Genome Atlas Research Network, . Comprehensive molecular profiling of lung adenocarcinoma. Nature. 511:543–550. 2014. View Article : Google Scholar : PubMed/NCBI

7 

Devarakonda S, Morgensztern D and Govindan R: Genomic alterations in lung adenocarcinoma. Lancet Oncol. 16:e342–e351. 2015. View Article : Google Scholar : PubMed/NCBI

8 

Gautschi O, Hugli B, Ziegler A, Bigosch C, Bowers NL, Ratschiller D, Jermann M, Stahel RA, Heighway J and Betticher DC: Cyclin D1 (CCND1) A870G gene polymorphism modulates smoking-induced lung cancer risk and response to platinum-based chemotherapy in non-small cell lung cancer (NSCLC) patients. Lung Cancer. 51:303–311. 2006. View Article : Google Scholar : PubMed/NCBI

9 

Li MY, Liu Y, Liu LZ, Kong AW, Zhao Z, Wu B, Long X, Wu J, Ng CS, Wan IY, et al: Estrogen receptor alpha promotes smoking-carcinogen-induced lung carcinogenesis via cytochrome P450 1B1. J Mol Med. 93:1221–1233. 2015. View Article : Google Scholar : PubMed/NCBI

10 

Cheng Z, Wang W, Song YN, Kang Y and Xia J: hOGG1, p53 genes, and smoking interactions are associated with the development of lung cancer. Asian Pac J Cancer Prev. 13:1803–1808. 2012. View Article : Google Scholar : PubMed/NCBI

11 

Zhang J, Chen D, Shen QM, Tian DL, Jiang YH, Yin HN and Li HW: Association between cigarette smoking and FHIT gene alterations in Chinese lung cancer. Lung Cancer. 29:2352000. View Article : Google Scholar

12 

Zhou W, Liu G, Park S, Wang Z, Wain JC, Lynch TJ, Su L and Christiani DC: Gene-smoking interaction associations for the ERCC1 polymorphisms in the risk of lung cancer. Cancer Epidemiol Biomarkers Prev. 14:491–496. 2005. View Article : Google Scholar : PubMed/NCBI

13 

Zhou C, Chen H, Han L, Xue F, Wang A and Liang YJ: Screening of genes related to lung cancer caused by smoking with RNA-Seq. Eur Rev Med Pharmacol Sci. 18:117–125. 2014.PubMed/NCBI

14 

Kabbout M, Garcia MM, Fujimoto J, Liu DD, Woods D, Chow CW, Mendoza G, Momin AA, James BP, Solis L, et al: ETS2 mediated tumor suppressive function and MET oncogene inhibition in human non-small cell lung cancer. Clin Cancer Res. 19:3383–3395. 2013. View Article : Google Scholar : PubMed/NCBI

15 

Landi MT, Dracheva T, Rotunno M, Figueroa JD, Liu H, Dasgupta A, Mann FE, Fukuoka J, Hames M, Bergen AW, et al: Gene expression signature of cigarette smoking and its role in lung adenocarcinoma development and survival. PLoS One. 3:e16512008. View Article : Google Scholar : PubMed/NCBI

16 

Ding L, Getz G, Wheeler DA, Mardis ER, McLellan MD, Cibulskis K, Sougnez C, Greulich H, Muzny DM, Morgan MB, et al: Somatic mutations affect key pathways in lung adenocarcinoma. Nature. 455:1069–1075. 2008. View Article : Google Scholar : PubMed/NCBI

17 

Gautier L, Cope L, Bolstad BM and Irizarry RA: Affy-analysis of Affymetrix GeneChip data at the probe level. Bioinformatics. 20:307–315. 2004. View Article : Google Scholar : PubMed/NCBI

18 

Smyth GK: Limma: Linear models for microarray dataBioinformatics and Computational Biology Solutions Using R and Bioconductor. Gentleman R, Carey V, Huber W, Irizarry R and Dudoit S: Springer; New York: pp. 397–420. 2004

19 

Wang X, Kang DD, Shen K, Song C, Lu S, Chang LC, Liao SG, Huo Z, Tang S, Ding Y, et al: An R package suite for microarray meta-analysis in quality control, differentially expressed gene analysis and pathway enrichment detection. Bioinformatics. 28:2534–2536. 2012. View Article : Google Scholar : PubMed/NCBI

20 

Wang L, Cao C, Ma Q, Zeng Q, Wang H, Cheng Z, Zhu G, Qi J, Ma H, Nian H and Wang Y: RNA-seq analyses of multiple meristems of soybean: Novel and alternative transcripts, evolutionary and functional implications. BMC Plant Biol. 14:1692014. View Article : Google Scholar : PubMed/NCBI

21 

Keshava Prasad TS, Goel R, Kandasamy K, Keerthikumar S, Kumar S, Mathivanan S, Telikicherla D, Raju R, Shafreen B, Venugopal A, et al: Human protein reference database-2009 update. Nucleic Acids Res. 37(Database issue): D767–D772. 2009. View Article : Google Scholar : PubMed/NCBI

22 

Smoot ME, Ono K, Ruscheinski J, Wang PL and Ideker T: Cytoscape 2.8: New features for data integration and network visualization. Bioinformatics. 27:431–432. 2011. View Article : Google Scholar : PubMed/NCBI

23 

Barthélemy M: Betweenness centrality in large complex networks. Eur Phy J Conden Matter Com Sys. 38:163–168. 2004.

24 

Zhang HH, Ahn J, Lin X and Park C: Gene selection using support vector machines with non-convex penalty. Bioinformatics. 22:88–95. 2006. View Article : Google Scholar : PubMed/NCBI

25 

Brown MP, Grundy WN, Lin D, Cristianini N, Sugnet CW, Furey TS, Ares M Jr and Haussler D: Knowledge-based analysis of microarray gene expression data using support vector machines. Proc Natl Acad Sci USA. 97:pp. 262–267. 2000; View Article : Google Scholar : PubMed/NCBI

26 

Stojanović M, Andjelković Apostolović M, Stojanović D, Milosević Z, Ignjatović A, Lakusić VM and Golubović M: Understanding sensitivity, specificity and predictive values. Vojnosanit Pregl. 71:1062–1065. 2014. View Article : Google Scholar : PubMed/NCBI

27 

Parikh R, Mathai A, Parikh S, Chandra Sekhar G and Thomas R: Understanding and using sensitivity, specificity and predictive values. Indian J Ophthalmol. 56:45–50. 2008. View Article : Google Scholar : PubMed/NCBI

28 

Orru G, Pettersson-Yeo W, Marquand AF, Sartori G and Mechelli A: Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review. Neurosci Biobehav Rev. 36:1140–1152. 2012. View Article : Google Scholar : PubMed/NCBI

29 

Fan XJ, Wan XB, Huang Y, Cai HM, Fu XH, Yang ZL, Chen DK, Song SX, Wu PH, Liu Q, et al: Epithelial-mesenchymal transition biomarkers and support vector machine guided model in preoperatively predicting regional lymph node metastasis for rectal cancer. Br J Cancer. 106:1735–1741. 2012. View Article : Google Scholar : PubMed/NCBI

30 

Han M, Dai J, Zhang Y, Lin Q, Jiang M, Xu X, Liu Q and Jia J: Support vector machines coupled with proteomics approaches for detecting biomarkers predicting chemotherapy resistance in small cell lung cancer. Oncol Rep. 28:2233–2238. 2012. View Article : Google Scholar : PubMed/NCBI

31 

Guyon I, Weston J and Barnhill S: Gene selection for cancer classification using support vector machines. Machine Learning. 46:389–422. 2002. View Article : Google Scholar

32 

Yousef M, Ketany M, Manevitz L, Showe LC and Showe MK: Classification and biomarker identification using gene network modules and support vector machines. BMC Bioinformatics. 10:3372009. View Article : Google Scholar : PubMed/NCBI

33 

Guan P, Huang D, He M and Zhou B: Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method. J Exp Clin Cancer Res. 28:1032009. View Article : Google Scholar : PubMed/NCBI

34 

Li P, Wang X, Liu Z, Liu H, Xu T, Wang H, Gomez DR, Nguyen QN, Wang LE, Teng Y, et al: Single nucleotide polymorphisms in CBLB, a regulator of T-cell response, predict radiation pneumonitis and outcomes after definitive radiotherapy for non-small-cell lung cancer. Clin Lung Cancer. 17:253–262. 2016. View Article : Google Scholar : PubMed/NCBI

35 

Mu X, Zhang Y, Qu X, Hou K, Kang J, Hu X and Liu Y: Ubiquitin ligase Cbl-b is involved in icotinib (BPI-2009H)-induced apoptosis and G1 phase arrest of EGFR mutation-positive non-small-cell lung cancer. Biomed Res Int. 2013:7263752013. View Article : Google Scholar : PubMed/NCBI

36 

Rountree MR, Bachman KE, Herman JG and Baylin SB: DNA methylation, chromatin inheritance, and cancer. Oncogene. 20:3156–3165. 2001. View Article : Google Scholar : PubMed/NCBI

37 

Kerr KM, Galler JS, Hagen JA, Laird PW and Laird-Offringa IA: The role of DNA methylation in the development and progression of lung adenocarcinoma. Dis Markers. 23:5–30. 2007. View Article : Google Scholar : PubMed/NCBI

38 

Lin RK, Hsieh YS, Lin P, Hsu HS, Chen CY, Tang YA, Lee CF and Wang YC: The tobacco-specific carcinogen NNK induces DNA methyltransferase 1 accumulation and tumor suppressor gene hypermethylation in mice and lung cancer patients. J Clin Invest. 120:521–532. 2010. View Article : Google Scholar : PubMed/NCBI

39 

Tennis MA, Vanscoyk MM, Wilson LA, Kelley N and Winn RA: Methylation of Wnt7a is modulated by DNMT1 and cigarette smoke condensate in non-small cell lung cancer. PLoS One. 7:e329212012. View Article : Google Scholar : PubMed/NCBI

40 

McCabe MT and Creasy CL: EZH2 as a potential target in cancer therapy. Epigenomics. 6:341–351. 2014. View Article : Google Scholar : PubMed/NCBI

41 

Yoon KA, Gil HJ, Han J, Park J and Lee JS: Genetic polymorphisms in the polycomb group gene EZH2 and the risk of lung cancer. J Thorac Oncol. 5:10–16. 2010. View Article : Google Scholar : PubMed/NCBI

42 

Zhang H, Zhang H, Zhao M, Lv Z, Zhang X, Qin X, Wang H, Wang S, Su J, Lv X, et al: miR-138 inhibits tumor growth through repression of EZH2 in non-small cell lung cancer. Cell Physiol Biochem. 31:56–65. 2013. View Article : Google Scholar : PubMed/NCBI

43 

Xia H, Zhang W, Li Y, Guo N and Yu C: EZH2 silencing with RNA interference induces G2/M arrest in human lung cancer cells in vitro. Biomed Res Int. 2014:3487282014. View Article : Google Scholar : PubMed/NCBI

44 

Wang X, Zhao H, Lv L, Bao L, Wang X and Han S: Prognostic significance of EZH2 expression in non-small cell lung cancer: A meta-analysis. Sci Rep. 6:192392016. View Article : Google Scholar : PubMed/NCBI

45 

Zhang C, Ge S, Hu C, Yang N and Zhang J: miRNA-218, a new regulator of HMGB1, suppresses cell migration and invasion in non-small cell lung cancer. Acta Biochim Biophys Sin (Shanghai). 45:1055–1061. 2013. View Article : Google Scholar : PubMed/NCBI

46 

Shen X, Hong L, Sun H, Shi M and Song Y: The expression of high-mobility group protein box 1 correlates with the progression of non-small cell lung cancer. Oncol Rep. 22:535–539. 2009.PubMed/NCBI

47 

Zheng W, Jiang C and Li R: Integrin and gene network analysis reveals that ITGA5 and ITGB1 are prognostic in non-small-cell lung cancer. Onco Targets Ther. 9:2317–2327. 2016. View Article : Google Scholar : PubMed/NCBI

48 

Jono H and Ando Y: Midkine: A novel prognostic biomarker for cancer. Cancers. 2:624–641. 2010. View Article : Google Scholar : PubMed/NCBI

49 

Yuan K, Chen Z, Li W, Gao CE, Li G, Guo G, Yang Y, Ai Y, Wu L and Zhang M: MDK protein overexpression correlates with the malignant status and prognosis of non-small cell lung cancer. Arch Med Res. 46:635–641. 2015. View Article : Google Scholar : PubMed/NCBI

50 

Hao H, Maeda Y, Fukazawa T, Yamatsuji T, Takaoka M, Bao XH, Matsuoka J, Okui T, Shimo T, Takigawa N, et al: Inhibition of the growth factor MDK/midkine by a novel small molecule compound to treat non-small cell lung cancer. PLoS One. 8:e710932013. View Article : Google Scholar : PubMed/NCBI

51 

Regala RP, Davis RK, Kunz A, Khoor A, Leitges M and Fields AP: Atypical protein kinase C{iota} is required for bronchioalveolar stem cell expansion and lung tumorigenesis. Cancer Res. 69:7603–7611. 2009. View Article : Google Scholar : PubMed/NCBI

52 

Sutterlüty H, Mayer CE, Attems J, Setinek U, Mikula M, Mikulits W, Micksche M and Berger W: Inhibition of cell migration and proliferation in non-small cell lung cancer (NSCLC) by Sprouty 2 (Spry2) via K-Ras dependent and independent pathways. Cancer Res. 66 Suppl 8:S349–S350. 2006.

53 

Sutterlüty H, Mayer CE, Setinek U, Attems J, Ovtcharov S, Mikula M, Mikulits W, Micksche M and Berger W: Down-regulation of Sprouty2 in non-small cell lung cancer contributes to tumor malignancy via extracellular signal-regulated kinase pathway-dependent and -independent mechanisms. Mol Cancer Res. 5:509–520. 2007. View Article : Google Scholar : PubMed/NCBI

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Yang L, Sun L, Wang W, Xu H, Li Y, Zhao JY, Liu DZ, Wang F and Zhang LY: Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification. Mol Med Rep 17: 3005-3013, 2018.
APA
Yang, L., Sun, L., Wang, W., Xu, H., Li, Y., Zhao, J. ... Zhang, L. (2018). Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification. Molecular Medicine Reports, 17, 3005-3013. https://doi.org/10.3892/mmr.2017.8220
MLA
Yang, L., Sun, L., Wang, W., Xu, H., Li, Y., Zhao, J., Liu, D., Wang, F., Zhang, L."Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification". Molecular Medicine Reports 17.2 (2018): 3005-3013.
Chicago
Yang, L., Sun, L., Wang, W., Xu, H., Li, Y., Zhao, J., Liu, D., Wang, F., Zhang, L."Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification". Molecular Medicine Reports 17, no. 2 (2018): 3005-3013. https://doi.org/10.3892/mmr.2017.8220
Copy and paste a formatted citation
x
Spandidos Publications style
Yang L, Sun L, Wang W, Xu H, Li Y, Zhao JY, Liu DZ, Wang F and Zhang LY: Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification. Mol Med Rep 17: 3005-3013, 2018.
APA
Yang, L., Sun, L., Wang, W., Xu, H., Li, Y., Zhao, J. ... Zhang, L. (2018). Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification. Molecular Medicine Reports, 17, 3005-3013. https://doi.org/10.3892/mmr.2017.8220
MLA
Yang, L., Sun, L., Wang, W., Xu, H., Li, Y., Zhao, J., Liu, D., Wang, F., Zhang, L."Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification". Molecular Medicine Reports 17.2 (2018): 3005-3013.
Chicago
Yang, L., Sun, L., Wang, W., Xu, H., Li, Y., Zhao, J., Liu, D., Wang, F., Zhang, L."Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification". Molecular Medicine Reports 17, no. 2 (2018): 3005-3013. https://doi.org/10.3892/mmr.2017.8220
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team