Evidence map›Paper›PMID 31938138›Full record

ArticleInternational journal of clinical and experimental pathology2018

microRNA-9 functions as a tumor suppressor in colorectal cancer by targeting CXCR4.

Wan-Cheng Xiong, Na Han, Guan-Fang Ping, Peng-Fei Zheng, Hai-Long Feng, Lei Qin, Peng He

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
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

7 authors.

Wan-Cheng XiongDepartment of General Surgery, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.
Na HanDepartment of Central Laboratory, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.
Guan-Fang PingDepartment of Pharmacy, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.
Peng-Fei ZhengDepartment of General Surgery, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.
Hai-Long FengDepartment of General Surgery, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.
Lei QinDepartment of Gastroenterology, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.
Peng HeDepartment of General Surgery, First Affiliated Hospital of Xinxiang Medical University Weihui, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRs) dysregulation has been proven to play a crucial role in the initiation and progression of colorectal cancer (CRC). miR-9 functions as a tumor suppressor in many cancer types, including CRC. However, the precise role of miR-9 and the underlying molecular mechanisms that miR-9 involves in CRC progression remain largely unknown. In this study, it was reported that miR-9 had lower expression in CRC tissue samples than in those matched adjacent non-tumor tissues. Deregulated miR-9 expression was inverse correlated with the TNM stage, lymph node metastasis, and prognosis of CRC patients. Ectopic miR-9 expression suppressed CRC cell proliferation, migration, and invasion. Dual-Luciferase Reporter Assay confirmed that C-X-C Motif Chemokine Receptor 4 (CXCR4) was a direct miR-9 target, and the effects of miR-9 were mimicked through CXCR4 depletion

Indexed as

CXCR4invasionmigrationmiR-9proliferation

Identifiers

PMID31938138
PMCPMC6958006

What OpenQuestion holds

Textmetadata
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.