Evidence map›Paper›PMID 33858423›Full record

ArticleCancer cell international2021

Trichostatin A downregulates bromodomain and extra-terminal proteins to suppress osimertinib resistant non-small cell lung carcinoma.

Yuting Meng, Xixi Qian, Li Zhao, Nan Li, Shengjie Wu, Baoan Chen, Tong Sun, Xuerong Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yuting MengDepartment of Pharmacology, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, Jiangsu Province, China.
Xixi QianDepartment of Pharmacology, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, Jiangsu Province, China.
Li ZhaoDepartment of Pharmacology, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, Jiangsu Province, China.
Nan LiDepartment of Pharmacology, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, Jiangsu Province, China.
Shengjie WuDepartment of Pharmacology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Baoan ChenDepartment of Hematology and Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu, China.
Tong SunLaboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, 101 Longmiandadao, Nanjing, 211166, Jiangsu Province, China. suntong@njmu.edu.cn.
Xuerong WangDepartment of Pharmacology, Nanjing Medical University, 140 Hanzhong Road, Nanjing, 210029, Jiangsu Province, China. wangxr@njmu.edu.cn.ORCID http://orcid.org/0000-0002-3040-9435
Nanjing Medical University · CNSir Run Run Shaw Hospital · CNZhongda Hospital Southeast University · CN

Funding

Jiangsu Science and Technology Department BK20171056Jiangsu Social Development Project BE2018711National Natural Science Foundation of China 81702882National Natural Science Foundation of China 81972763,81473241
6 · The paper itself

Abstract

backgroundThe third-generation epithelial growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) have shown significant therapeutic effects on patients with non-small cell lung carcinoma (NSCLC) who carry active EGFR mutations, as well as those who have developed acquired resistance to the first-generation of EGFR-TKIs due to the T790M mutation. However, most patients develop drug resistance after 8-10 months of treatment. Currently, the mechanism has not been well clarified, and new therapeutic strategies are urgently needed.

methodsOsimertinib resistant cell lines were established by culturing sensitive cells in chronically increasing doses of osimertinib. The anticancer effect of reagents was examined both in vitro and in vivo using the sulforhodamine B assay and a xenograft mouse model. The molecular signals were detected by western blotting. The combination effect was analyzed using CompuSyn software.

resultsWe found that bromodomain and extra-terminal proteins (BETs) were upregulated in osimertinib resistant (H1975-OR) cells compared with those in the paired parental cells (H1975-P), and that knockdown of BETs significantly inhibited the growth of H1975-OR cells. The BET inhibitor JQ1 also exhibited stronger growth-inhibitory effects on H1975-OR cells and a greater expression of BETs and the downstream effector c-Myc than were observed in H1975-P cells. The histone deacetylase (HDAC) inhibitor trichostatin A (TSA) showed stronger growth suppression in H1975-OR cells than in H1975-P cells, but vorinostat, another HDAC inhibitor, showed equal inhibitory efficacy in both cell types. Consistently, downregulation of BET and c-Myc expression was greater with TSA than with vorinostat. TSA restrained the growth of H1975-OR and H1975-P xenograft tumors. The combination of TSA and JQ1 showed synergistic growth-inhibitory effects in parallel with decreased BET and c-Myc expression in both H1975-OR and H1975-P cells and in xenograft nude mouse models. BETs were not upregulated in osimertinib resistant HCC827 cells compared with parental cells, while TSA and vorinostat exhibited equal inhibitory effects on both cell types.

conclusionUpregulation of BETs contributed to the osimertinib resistance of H1975 cells. TSA downregulated BET expression and enhanced the growth inhibitory effect of JQ1 both in vitro and in vivo. Our findings provided new strategies for the treatment of osimertinib resistance.

Indexed as

Bromodomain and extra-terminal proteinEGFRHistone deacetylaseLung cancer

Identifiers

PMID33858423
PMCPMC8050891
OpenAlexW3153632120

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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.