Evidence map›Paper›PMID 28565760›Full record

ArticleExperimental and therapeutic medicine2017

Shu-Zhi Zang, Yan-Rong Yang, Sha-Sha Zhao, Yun-Xia Li, Xin-Yuan Gao, Chun-Lei Zhong

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Shu-Zhi ZangDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China.
Yan-Rong YangDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China.
Sha-Sha ZhaoDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China.
Yun-Xia LiDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China.
Xin-Yuan GaoDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China.
Chun-Lei ZhongDepartment of Respiration, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The T790M mutational basis of treatment failure, following treatment via alteration of the epidermal growth factor receptor (EGFR) pathway, is a well-known anomaly in patients with non-small cell lung cancer (NSCLC). The T790M mutation activates the kinase domain, causing tyrosine kinase inhibitors, such as gefitinib, to elicit little or no response. To overcome this acquired resistance in NSCLC cells, the present study utilized a structure-based drug designing method to identify a novel lead compound. An in-house traditional Chinese medicinal compound database was used and following initial virtual screening, pre-absorption, distribution, metabolism and excretion/Tox and automated docking analyses, nardosinon was selected as the most appropriate candidate for further analysis. Two NSCLC cell lines, PC9GR4 and H2347, were used to test nardosinon and the results were compared with gefitinib. Results from an initial cell death assay revealed that nardosinon was able to induce cell death in NSCLC cells with and without the T790M mutation. These findings suggest that nardosinon may be an effective pharmacological compound for NSCLC treatment, including T790M EGFR mutant NSCLC cells.

Indexed as

dockinglung carcinomaT790M mutationTraditional Chinese Medicine

Identifiers

PMID28565760
PMCPMC5443239

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.