TY - JOUR
T1 - Determination of tipping point in course of PM2.5 organic extracts-induced malignant transformation by dynamic network biomarkers
AU - Chen, Shen
AU - Li, Daochuan
AU - Yu, Dianke
AU - Li, Miao
AU - Ye, Lizhu
AU - Jiang, Yue
AU - Tang, Shijie
AU - Zhang, Rui
AU - Xu, Chi
AU - Jiang, Shuyun
AU - Wang, Ziwei
AU - Aschner, Michael
AU - Zheng, Yuxin
AU - Chen, Liping
AU - Chen, Wen
N1 - Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/3/15
Y1 - 2022/3/15
N2 - The dynamic network biomarkers (DNBs) are designed to identify the tipping point and specific molecules in initiation of PM2.5-induced lung cancers. To discover early-warning signals, we analyzed time-series gene expression datasets over a course of PM2.5 organic extraction-induced human bronchial epithelial (HBE) cell transformation (0th~16th week). A composition index of DNB (CIDNB) was calculated to determine correlations and fluctuations in molecule clusters at each timepoint. We identified a group of genes with the highest CIDNB at the 10th week, implicating a tipping point and corresponding DNBs. Functional experiments revealed that manipulating respective DNB genes at the tipping point led to remarkable changes in malignant phenotypes, including four promoters (GAB2, NCF1, MMP25, LAPTM5) and three suppressors (BATF2, DOK3, DAP3). Notably, co-altered expression of seven core DNB genes resulted in an enhanced activity of malignant transformation compared to effects of single-gene manipulation. Perturbation of pathways (EMT, HMGB1, STAT3, NF-κB, PTEN) appeared in HBE cells at the tipping point. The core DNB genes were involved in regulating lung cancer cell growth and associated with poor survival, indicating their synergistic effects in initiation and development of lung cancers. These findings provided novel insights into the mechanism of dynamic networks attributable to PM2.5-induced cell transformation.
AB - The dynamic network biomarkers (DNBs) are designed to identify the tipping point and specific molecules in initiation of PM2.5-induced lung cancers. To discover early-warning signals, we analyzed time-series gene expression datasets over a course of PM2.5 organic extraction-induced human bronchial epithelial (HBE) cell transformation (0th~16th week). A composition index of DNB (CIDNB) was calculated to determine correlations and fluctuations in molecule clusters at each timepoint. We identified a group of genes with the highest CIDNB at the 10th week, implicating a tipping point and corresponding DNBs. Functional experiments revealed that manipulating respective DNB genes at the tipping point led to remarkable changes in malignant phenotypes, including four promoters (GAB2, NCF1, MMP25, LAPTM5) and three suppressors (BATF2, DOK3, DAP3). Notably, co-altered expression of seven core DNB genes resulted in an enhanced activity of malignant transformation compared to effects of single-gene manipulation. Perturbation of pathways (EMT, HMGB1, STAT3, NF-κB, PTEN) appeared in HBE cells at the tipping point. The core DNB genes were involved in regulating lung cancer cell growth and associated with poor survival, indicating their synergistic effects in initiation and development of lung cancers. These findings provided novel insights into the mechanism of dynamic networks attributable to PM2.5-induced cell transformation.
KW - Dynamic network biomarker
KW - Lung cancer
KW - Malignant transformation
KW - PM
KW - Tipping point
UR - http://www.scopus.com/inward/record.url?scp=85121431201&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85121431201&partnerID=8YFLogxK
U2 - 10.1016/j.jhazmat.2021.128089
DO - 10.1016/j.jhazmat.2021.128089
M3 - Article
C2 - 34933256
AN - SCOPUS:85121431201
SN - 0304-3894
VL - 426
JO - Journal of Hazardous Materials
JF - Journal of Hazardous Materials
M1 - 128089
ER -
