Evidence map›Paper›PMID 29616128›Full record

ArticleOncology letters2018

EGFR-TKI resistance and MAP17 are associated with cancer stem cell like properties.

Yi Shao, Hui Lv, Dian-Sheng Zhong, Qing-Hua Zhou

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. 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
0.6field-weighted citation impact, top 30% 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, 12 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

4 authors at 1 institution in 1 country.

Yi ShaoDepartment of Oncology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China.
Hui LvDepartment of Oncology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China.
Dian-Sheng ZhongDepartment of Oncology, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China.
Qing-Hua ZhouTianjin Lung Cancer Center and Institute, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China.
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with non-small-cell lung cancer (NSCLC) with sensitive epidermal growth factor receptor (EGFR) mutations generally react well to tyrosine kinase inhibitors (TKIs). However acquired resistance eventually occurs. Several mechanisms contribute to the resistance including T790M mutation, c-Met amplification and PIK3CA mutation. In recent years, cancer stem cells (CSCs) have been suggested to be involved in TKI resistance. MAP17 is aberrantly overexpressed in a number of malignancies. However, the expression pattern and function of MAP17 in CSCs are still unclear. The aim the present study was to illustrate the effect of CSC-like cells on the resistance to TKIs in EGFR mutant NSCLC cells and explore the possible role of MAP17 in CSCs. The EGFR mutant cell line PC9 was cultured under serum-deprived undifferentiated conditions. The CSC properties including expression of stem cell markers CD133, CD44, Oct-4 and ABCG2, ability of self-renewal, invasion, proliferation and tumorigenesis were examined. The expression of MAP17 was compared in sphere and parent cells. Sphere cells displayed stem cells phenotypes and were resistant to erlotinib. Sphere cells expressed higher levels of MAP17, and MAP17 was associated with self-renewal and TKI resistance. The function of MAP17 demonstrated to be partially dependent on Na-dependent glucose transporter 1. Collectively these findings suggest that MAP17 serves a role in TKI resistance through regulation of CSCs in lung cancer.

Indexed as

cancer stem cellepidermal growth factor receptorMAP17resistancetyrosine kinase inhibitor

Identifiers

PMID29616128
PMCPMC5876419
OpenAlexW2790522086

What OpenQuestion holds

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Registered trials

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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.