Evidence map›Paper›PMID 27284246›Full record

ArticleOncoTargets and therapy2016

Non-small-cell lung cancer cells combat epidermal growth factor receptor tyrosine kinase inhibition through immediate adhesion-related responses.

Hsian-Yu Wang, Min-Kung Hsu, Kai-Hsuan Wang, Ching-Ping Tseng, Feng-Chi Chen, John T-A Hsu

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Adjuvant EGFR-TKIs-based therapy: are we ready?Translational lung cancer research · 2020
    Article
  3. Continued EGFR-TKI with concurrent radiotherapy to improve time to progression (TTP) in patients with locally progressive non-small cell lung cancer (NSCLC) after front-line EGFR-TKI treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Article
  4. Characterization ofMolecular cancer therapeutics · 2017
    Article
  5. Article
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

6 authors.

Hsian-Yu WangInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes (NHRI), Zhunan, Miaoli County, Republic of China; Institute of Molecular Medicine and Bioengineering, National Chiao Tung University (NCTU), Hsinchu, Taiwan, Republic of China.
Min-Kung HsuDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes (NHRI), Zhunan, Miaoli County, Republic of China; Department of Biological Science and Technology, National Chiao Tung University (NCTU), Hsinchu, Taiwan, Republic of China.
Kai-Hsuan WangInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes (NHRI), Zhunan, Miaoli County, Republic of China.
Ching-Ping TsengInstitute of Molecular Medicine and Bioengineering, National Chiao Tung University (NCTU), Hsinchu, Taiwan, Republic of China; Department of Biological Science and Technology, National Chiao Tung University (NCTU), Hsinchu, Taiwan, Republic of China.
Feng-Chi ChenDivision of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes (NHRI), Zhunan, Miaoli County, Republic of China; Department of Biological Science and Technology, National Chiao Tung University (NCTU), Hsinchu, Taiwan, Republic of China.
John T-A HsuInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes (NHRI), Zhunan, Miaoli County, Republic of China; Department of Biological Science and Technology, National Chiao Tung University (NCTU), Hsinchu, Taiwan, Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs), such as gefitinib, erlotinib, and afatinib, have greatly improved treatment efficacy in non-small cell lung cancer (NSCLC) patients with drug-sensitive EGFR mutations. However, in some TKI responders, the benefits of such targeted therapies are limited by the rapid development of resistance, and strategies to overcome this resistance are urgently needed. Studies of drug resistance in cancer cells typically involve long term in vitro induction to obtain stably acquired drug-resistant cells followed by elucidation of resistance mechanisms, but the immediate responses of cancer cells upon drug treatment have been ignored. The aim of this study was to investigate the immediate responses of NSCLC cells upon treatment with EGFR TKIs.

resultsBoth NSCLC cells, ie, PC9 and H1975, showed immediate enhanced adhesion-related responses as an apoptosis-countering mechanism upon first-time TKI treatment. By gene expression and pathway analysis, adhesion-related pathways were enriched in gefitinib-treated PC9 cells. Pathway inhibition by small-hairpin RNAs or small-molecule drugs revealed that within hours of EGFR TKI treatment, NSCLC cells used adhesion-related responses to combat the drugs. Importantly, we show here that the Src family inhibitor, dasatinib, dramatically inhibits cell adhesion-related response and greatly enhances the cell-killing effects of EGFR TKI (gefitinib for the PC9 cells; afatinib for the H1975 cells) in NSCLC cells, which would otherwise escape the TKI-induced apoptosis.

conclusionResults from this study indicate that NSCLC cells can employ the adhesion response as a survival pathway to survive under EGFR-targeted therapy. Simultaneous targeting of EGFR signaling and adhesion pathways would further boost the efficacy of EGFR-targeted therapy in NSCLC.

Indexed as

adhesion responsecell stress responsedrug resistancegene set enrichment analysis

Identifiers

PMID27284246
PMCPMC4881734

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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.