SPIB promotes anoikis resistance via elevated autolysosomal process in lung cancer cells.
Hua ZhangGuobin WangRuimin ZhouXiaobo LiYanan SunYanzhe LiWei DuXiaojie YanJie YangXinzhong ChangZhe LiuZhenyi MaPublished in: The FEBS journal (2020)
Anoikis (detachment-induced cell death) is a specific type of programmed cell death which occurs in response to the loss of the correct extracellular matrix connections. Anoikis resistance is an important mechanism in cancer invasiveness and metastatic behavior. Autophagy, on the other hand, involves the degradation of damaged organelles and the recycling of misfolded proteins and intracellular components. However, the intersection of these two cellular responses in lung cancer cells has not been extensively studied. Here, we identified that upon matrix deprivation, the lymphocyte lineage-specific Ets transcription factor SPIB was activated and directly enhanced SNAP47 transcription in certain lung cancer cells. Loss of attachment-induced autophagy significantly increased anoikis resistance by SPIB activation. Consistent with this function, SPIB depletion by short hairpin RNA abrogated SNAP47 transcriptional activation upon matrix deprivation. Therefore, these data delineate an important role of SPIB in autophagy-mediated anoikis resistance in lung cancer cells. Accordingly, these findings suggest that manipulating SPIB-regulated pathways in vivo and evaluating the impact of anoikis resistance warrant further investigation. DATABASE: RNA sequencing and ChIP sequencing data are available in Gene Expression Omnibus database under the accession numbers GSE106592 and GSE125561, respectively.
Keyphrases
- cell death
- transcription factor
- gene expression
- extracellular matrix
- single cell
- oxidative stress
- signaling pathway
- endoplasmic reticulum stress
- diabetic rats
- small cell lung cancer
- high glucose
- electronic health record
- emergency department
- young adults
- dna binding
- drug induced
- cell proliferation
- peripheral blood
- cell cycle arrest
- machine learning
- deep learning
- artificial intelligence
- lymph node metastasis
- heat shock protein
- heat stress