Evidence map›Paper›PMID 32982440›Full record

ArticleCancer management and research2020

Circ_0007031 Serves as a Sponge of miR-760 to Regulate the Growth and Chemoradiotherapy Resistance of Colorectal Cancer via Regulating DCP1A.

Yuanyuan Wang, Hua Wang, Jian Zhang, Zhifen Chu, Pu Liu, Xing Zhang, Chao Li, Xiaosong Gu

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Yuanyuan Wang *Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China.
Hua Wang *Department of Pharmacy, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Jian ZhangDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Zhifen ChuDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Pu LiuDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Xing ZhangDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Chao LiDepartment of General Surgery, Hebei Key Laboratory of Colorectal Cancer Precision Diagnosis and Treatment, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Xiaosong GuAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China.
Hebei Medical University · CNFirst Affiliated Hospital of Hebei Medical University · CNTianjin Medical University · CNTianjin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is a kind of malignant tumor, and the development of chemoradiotherapy resistance (CRR) increases the difficulty of its treatment. The role of circular RNAs (circRNAs) in cancer progression has been well documented. Nevertheless, the function of circ_0007031 in the growth and CRR of CRC has not been well elucidated.

methodsCRR cell lines were constructed using 5-Fu and radiation. Cell counting kit 8 (CCK8) assay was employed to measure the 5-Fu resistance and proliferation of cells. Clonogenic assay was used to evaluate the radiation resistance of cells. Also, the expression of circ_0007031 and microRNA-760 (miR-760) was determined using quantitative real-time polymerase chain reaction (qRT-PCR). The cell cycle distribution and apoptosis of cells were assessed by flow cytometry. Besides, the levels of apoptosis-related protein and mRNA-decapping enzyme 1a (DCP1A) protein were measured by Western blot (WB) analysis. Further, dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay were used to confirm the interaction between miR-760 and circ_0007031 or DCP1A. In addition, animal experiments were performed to evaluate the function of silenced circ_0007031 on the 5-Fu and radiation resistance of CRC tumors.

resultsCirc_0007031 expression was markedly increased in CRC tissues and cells, especially in CRC resistant cells. Circ_0007031 knockdown hindered proliferation, induced cell cycle arrest in the G0/G1 phase, enhanced apoptosis, and lowered the CRR of CRC resistant cells. Further, miR-760 could be targeted by circ_0007031, and its inhibitor could reverse the inhibition effect of circ_0007031 knockdown on the growth and CRR of CRC resistant cells. Moreover, DCP1A was a target of miR-760, and its overexpression could invert the suppression effect of miR-760 overexpression on the growth and CRR of CRC resistant cells. Circ_0007031 silencing could enhance the sensitivity of CRC tumors to 5-Fu and radiation to markedly reduce CRC tumor growth in vivo.

conclusionCirc_0007031 might play a positive role in the CRR of CRC through regulating the miR-760/DCP1A axis, which might provide a new approach for treating the CRR of CRC.

Indexed as

circ_0007031colorectal cancerCRRDCP1AmiR-760

Identifiers

PMID32982440
PMCPMC7500843
OpenAlexW3086370658

What OpenQuestion holds

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LicenceCC BY-NC
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.