PMID- 30197682
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200930
IS  - 1792-1074 (Print)
IS  - 1792-1082 (Electronic)
IS  - 1792-1074 (Linking)
VI  - 16
IP  - 4
DP  - 2018 Oct
TI  - A curated target gene pool assisting disease prediction and patient-specific 
      biomarker selection for lung squamous cell carcinoma.
PG  - 5140-5146
LID - 10.3892/ol.2018.9241 [doi]
AB  - There have been hundreds of genes demonstrated to be associated with lung 
      squamous cell carcinoma (LSCC), presenting various degrees of association with 
      this disease. In the present study, gene vectors were investigated as genetic 
      biomarkers for the diagnosis and personalized treatment of LSCC. A LSCC genetic 
      database (LSCC_GD) was developed through literature-associated data analysis, 
      where 260 LSCC target genes were curated. Subsequently, numerous associations 
      between these genes and LSCC were studied. Following this, a sparse 
      representation-based variable selection (SRVS) was employed for gene selection 
      from two LSCC gene expression datasets, followed by a case/control 
      classification. Results were compared using analysis of variance (ANOVA)-based 
      gene selection approaches. Using SRVS, a gene vector was selected from each 
      dataset, resulting in significantly higher classification accuracy (CR), compared 
      with randomly selected genes (For datasets GSE18842 and GSE1987, CR=100 and 100% 
      and permutation P=5.0x10(-4) and 1.8x10(-3), respectively). The SRVS method 
      outperformed ANOVA in terms of the classification ratio. The results indicated 
      that, for a given dataset, there may be a gene vector from the 260 curated LSCC 
      genes that possesses significant prediction power. SRVS is effective in 
      identifying the optimum gene subset target for personalized treatment.
FAU - Huang, Bin
AU  - Huang B
AD  - Department of Cardiothoracic Surgery, Affiliated Jiangyin Hospital of Southeast 
      University, Jiangyin, Jiangsu 214400, P.R. China.
FAU - Zhong, Ning
AU  - Zhong N
AD  - Department of Cardiothoracic Surgery, The First People's Hospital of Kunshan, 
      Kunshan, Jiangsu 215300, P.R. China.
FAU - Cao, Hongbao
AU  - Cao H
AD  - Department of Genomics Research, R&D Solutions, Elsevier Inc., Rockville, MD 
      20852, USA.
AD  - Unit on Statistical Genomics, National Institute of Mental Health/National 
      Institute of Health, Bethesda, MD 20892, USA.
FAU - Yu, Guiping
AU  - Yu G
AD  - Department of Cardiothoracic Surgery, The Affiliated Jiangyin Hospital of 
      Southeast University Medical College, Jiangyin, Jiangsu 214400, P.R. China.
LA  - eng
PT  - Journal Article
DEP - 20180731
PL  - Greece
TA  - Oncol Lett
JT  - Oncology letters
JID - 101531236
PMC - PMC6126348
OTO - NOTNLM
OT  - lung squamous cell carcinoma
OT  - non-small-cell lung carcinoma
OT  - sparse representation
OT  - variable selection
EDAT- 2018/09/11 06:00
MHDA- 2018/09/11 06:01
PMCR- 2018/07/31
CRDT- 2018/09/11 06:00
PHST- 2017/12/06 00:00 [received]
PHST- 2018/06/13 00:00 [accepted]
PHST- 2018/09/11 06:00 [entrez]
PHST- 2018/09/11 06:00 [pubmed]
PHST- 2018/09/11 06:01 [medline]
PHST- 2018/07/31 00:00 [pmc-release]
AID - OL-0-0-9241 [pii]
AID - 10.3892/ol.2018.9241 [doi]
PST - ppublish
SO  - Oncol Lett. 2018 Oct;16(4):5140-5146. doi: 10.3892/ol.2018.9241. Epub 2018 Jul 
      31.