Evidence map›Paper›PMID 29434772›Full record

ArticleExperimental and therapeutic medicine2018

Transcription activated p73-modulated cyclin D1 expression leads to doxorubicin resistance in gastric cancer.

Zhi-Peng Ji, Ling Qiang, Jian-Liang Zhang

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 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
0.7field-weighted citation impact, top 26% 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, 13 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

3 authors at 2 institutions in 1 country.

Zhi-Peng JiDepartment of General Surgery, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China.
Ling QiangDepartment of Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong 250117, P.R. China.
Jian-Liang ZhangDepartment of General Surgery, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China.
Second Hospital of Shandong University · CNShandong Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the leading types of cancer in terms of mortality cases worldwide. Doxorubicin (Dox), a common chemotherapy drug, is frequently used to treat GC; however, acquired resistance to Dox hinders the chemotherapeutic outcome and causes shorter survival in GC patients. Several Dox-resistant GC cell lines, including SGC7901, SNU-1 and SNU-5 were generated to investigate the mechanism of Dox resistance in GC. Various methods were used to test the response of Dox-resistant GC cells and parental cells, including flow cytometry, Cell Counting kit-8 assay, reverse transcription polymerase chain reaction and western blot analysis. In the present study, various Dox-resistant cells presented reduced apoptosis and cell cycle arrest in response to Dox treatment. Western blot results revealed that cyclin D1 was upregulated in Dox-resistant cells, whereas inhibition or depletion of cyclin D1 re-sensitized the resistant cells to Dox treatment, which indicated that the induction of cyclin D1 expression was a result of the Dox resistance in GC cells. Furthermore, it was observed that a transcription activated form of p73 (TAp73), is the upstream modulator of cyclin D1, manipulating the cyclin D1 transcription with the assistance of activator protein 1 (AP-1). Overall, the present study data provided a rational strategy to overcome the Dox resistance in GC treatment by inhibiting cyclin D1 expression.

Indexed as

cyclin D1cyclin-dependent kinase 4 inhibitorgastric cancertranscription activated p73

Identifiers

PMID29434772
PMCPMC5776556
OpenAlexW2773375612

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.