PMID- 31770041
OWN - NLM
STAT- MEDLINE
DCOM- 20200406
LR  - 20211204
IS  - 1532-4192 (Electronic)
IS  - 0735-7907 (Linking)
VI  - 38
IP  - 1
DP  - 2020 Jan
TI  - Co-Expression Network Analysis Identified Genes Associated with Cancer Stem Cell 
      Characteristics in Lung Squamous Cell Carcinoma.
PG  - 13-22
LID - 10.1080/07357907.2019.1697281 [doi]
AB  - Objective: Cancer stem cells are self-renewal cells in tumors and can produce 
      heterogeneous tumor cells, which play an important role in the development of 
      lung squamous cell carcinoma (LSCC). In our research, we aimed to explore the 
      expression of genes related to LSCC stem cells.Methods: We downloaded the RNAseq 
      data, the pathological and prognostic profiles of LSCC cases from the public 
      database TCGA. The mRNA expression-based stiffness index (mRNAsi) of LSCC was 
      calculated and the prognostic value of mRNAsi was discussed. Then, we constructed 
      a weighted gene co-expression network analysis (WGCNA) to screen key genes 
      related to mRNAsi of LSCC.Results: MRNAsi is an independent prognostic factor in 
      LSCC. We screened 5 key genes (BUB1, BIRC5, CCNB2, KIF15 and SPAG5) related to 
      mRNAsi of LSCC based on WGCNA. The key genes were highly expressed in the tumor 
      samples compared to the normal samples. In addition, there is a strong 
      interaction between proteins of these key genes and a strong co-expression 
      relationship at the transcriptional level.Conclusions: To conclude, mRNAsi play 
      an important role in LSCC. Five key genes (BUB1, BIRC5, CCNB2, KIF15 and SPAG5) 
      related to mRNAsi were screened, which may act as therapeutic targets for 
      inhibiting the stem cell characteristics of LSCC.
FAU - Qin, Songbing
AU  - Qin S
AD  - Radiation Oncology, The First Affiliated Hospital of Soochow University, Soochow 
      University, Suzhou, Jiangsu, China.
FAU - Long, Xiang
AU  - Long X
AD  - Department of Respiratory Disease, Peking University Shenzhen Hospital, Shenzhen, 
      Guangdong, China.
FAU - Zhao, Qi
AU  - Zhao Q
AD  - Radiation Oncology, The First Affiliated Hospital of Soochow University, Soochow 
      University, Suzhou, Jiangsu, China.
FAU - Zhao, WeiXin
AU  - Zhao W
AD  - Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 
      Shanghai, China.
AD  - Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 
      China.
AD  - Institue of Thoracic Oncology, Fudan University, Shanghai, China.
LA  - eng
PT  - Journal Article
DEP - 20191206
PL  - England
TA  - Cancer Invest
JT  - Cancer investigation
JID - 8307154
RN  - 0 (BIRC5 protein, human)
RN  - 0 (CCNB2 protein, human)
RN  - 0 (Cell Cycle Proteins)
RN  - 0 (Cyclin B2)
RN  - 0 (KIF15 protein, human)
RN  - 0 (RNA, Messenger)
RN  - 0 (SPAG5 protein, human)
RN  - 0 (Survivin)
RN  - EC 2.7.11.1 (BUB1 protein, human)
RN  - EC 2.7.11.1 (Protein Serine-Threonine Kinases)
RN  - EC 3.6.4.4 (Kinesins)
SB  - IM
MH  - Aged
MH  - Carcinoma, Squamous Cell/*genetics/mortality/pathology
MH  - Cell Cycle Proteins/genetics
MH  - Cyclin B2/genetics
MH  - Datasets as Topic
MH  - Female
MH  - Gene Expression Profiling
MH  - Gene Expression Regulation, Neoplastic
MH  - *Gene Regulatory Networks
MH  - Humans
MH  - Kaplan-Meier Estimate
MH  - Kinesins/genetics
MH  - Lung/pathology
MH  - Lung Neoplasms/*genetics/mortality/pathology
MH  - Male
MH  - Middle Aged
MH  - Neoplastic Stem Cells/*metabolism
MH  - Prognosis
MH  - Protein Serine-Threonine Kinases
MH  - RNA, Messenger/*metabolism
MH  - RNA-Seq
MH  - Survivin/genetics
OTO - NOTNLM
OT  - LSCC
OT  - TCGA
OT  - WGCNA
OT  - cancer stem cell
OT  - mRNAsi
OT  - prognosis
EDAT- 2019/11/27 06:00
MHDA- 2020/04/09 06:00
CRDT- 2019/11/27 06:00
PHST- 2019/11/27 06:00 [pubmed]
PHST- 2020/04/09 06:00 [medline]
PHST- 2019/11/27 06:00 [entrez]
AID - 10.1080/07357907.2019.1697281 [doi]
PST - ppublish
SO  - Cancer Invest. 2020 Jan;38(1):13-22. doi: 10.1080/07357907.2019.1697281. Epub 
      2019 Dec 6.