Evidence map›Paper›PMID 27266881›Full record

ArticleChinese journal of cancer2016

Attenuated LKB1-SIK1 signaling promotes epithelial-mesenchymal transition and radioresistance of non-small cell lung cancer cells.

Yuan-Hu Yao, Yan Cui, Xiang-Nan Qiu, Long-Zhen Zhang, Wei Zhang, Hao Li, Jin-Ming Yu

Open access · goldAbstract read
In one paragraph

Article in Chinese journal of cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Roles of salt‑inducible kinases in cancer (Review).International journal of oncology · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Roles of NExperimental hematology & oncology · 2022
    Review
  10. Review
  11. Role ofOncology letters · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Cells · 2021
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Yuan-Hu YaoShandong University School of Medicine, Jinan, 250012, Shandong, P. R. China.
Yan CuiLeibniz Institute on Aging-Fritz Lipmann Institute, Jena, 07745, Germany.
Xiang-Nan QiuDepartment of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, P. R. China.
Long-Zhen ZhangDepartment of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, P. R. China.
Wei ZhangDepartment of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, P. R. China.
Hao LiDepartment of Radiation Oncology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, P. R. China.
Jin-Ming YuDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong University, Jinan, 250117, Shandong, P. R. China. yujinmingsdjn@126.com.
Xuzhou Medical College · CNShandong University · CNLeibniz Institute on Aging - Fritz Lipmann Institute (FLI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiotherapy is one of the main therapeutic approaches for non-small cell lung cancer (NSCLC). However, radioresistant cancer cells can eventually cause tumor relapse and even fatal metastasis. It is thought that radioresistance and metastasis could be potentially linked by epithelial-mesenchymal transition (EMT). In this study, we established radioresistant NSCLC cells to investigate the potential relationship among radioresistance, EMT, and enhanced metastatic potential and the underlying mechanism involving liver kinase B1 (LKB1)-Salt-inducible kinase 1 (SIK1) signaling.

methodsThe radioresistant cell lines A549R and H1299R were generated by dose-gradient irradiation of the parental A549 and H1299 cells. The radioresistance/sensitivity was evaluated by Cell Counting Kit-8 assay, apoptosis analysis, and/or clonogenic cell survival assay. The EMT phenotype and the signaling change were assessed by Western blotting. The abilities of invasion and migration were evaluated by transwell assays and wound healing assays.

resultsThe radioresistant cell lines A549R and H1299R displayed mesenchymal features with enhanced invasion and migration. Mechanistically, A549R and H1299R cells had attenuated LKB1-SIK1 signaling, which leaded to the up-regulation of Zinc-finger E-box-binding homeobox factor 1 (ZEB1)--a transcription factor that drives EMT. Re-expression of LKB1 in A549R cells reversed the EMT phenotype, whereas knockdown of LKB1 in H1299R cells further promoted the EMT phenotype. Moreover, re-expression of LKB1 in A549 cells increased the radiosensitivity, whereas knockdown of LKB1 in H1299 cells decreased the radiosensitivity.

conclusionsOur findings suggest that attenuated LKB1-SIK1 signaling promotes EMT and radioresistance of NSCLC cells, which subsequently contributes to the enhanced metastatic potential. Targeting the LKB1-SIK1-ZEB1 pathway to suppress EMT might provide therapeutic benefits.

Indexed as

Epithelial-Mesenchymal TransitionRadiation ToleranceAMP-Activated Protein Kinase KinasesApoptosisCarcinoma, Non-Small-Cell LungCell Line, TumorCell ProliferationCell SurvivalGene Expression Regulation, NeoplasticHumansLung NeoplasmsProtein Serine-Threonine KinasesSignal TransductionAMP-Activated Protein Kinase KinasesProtein Serine-Threonine KinasesSIK1 protein, humanSTK11 protein, humanEpithelial-mesenchymal transitionLKB1Lung cancerMetastasisRadioresistanceSIK1

Identifiers

PMID27266881
PMCPMC4897817
OpenAlexW2418412710

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.