Evidence map›Paper›PMID 30405753›Full record

ArticleOncology letters2018

Expression and significance of miR-24 and miR-101 in patients with advanced gastric cancer.

Xuetao Dong, Yandi Liu

Abstract 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 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

2 authors.

Xuetao DongDepartment of Gastroenterology, Tianjin Union Medical Centre, Tianjin 300120, P.R. China.
Yandi LiuDepartment of Gastroenterology, Tianjin Union Medical Centre, Tianjin 300120, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical significance of micro ribonucleic acid (miR)-24 and miR-101 were investigated by evaluating the expression of miR-24 and miR-101 in the tissues of patients with advanced gastric cancer. A total of 247 gastric cancer tissue specimens and 150 cancer-adjacent normal tissues (>5 cm away from the tumor) from patients with advanced gastric cancer who underwent surgical resection in the Surgical Oncology Department of Tianjin Union Medical Centre (Tianjin, China) from April 2013 to May 2016 were collected. The expression of miR-24 and miR-101 in gastric cancer and cancer-adjacent normal tissues were detected via reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and the correlation of the levels of miR-24 and miR-101 in gastric cancer tissues with their clinical and pathological features were explored. The expression level of miR-24 in gastric cancer tissues was significantly higher than that in cancer-adjacent normal tissues (t=10.26, p<0.01), while the expression level of miR-101 was significantly lower (t=13.940, p<0.01). The expression of miR-24 and miR-101 in gastric cancer was correlated with the pathological differentiation degree of the tumor, lymph node metastasis and depth of infiltration (p<0.05). The multivariate Cox regression analysis revealed that miR-24 and miR-101 were independent prognostic factors affecting the overall survival of patients (p<0.01). The results indicated that the expression of miR-24 is upregulated and that of miR-101 is downregulated in gastric cancer tissues. miR-24 and miR-101 may promote the occurrence, development, infiltration and metastasis of gastric cancer, and can be indicators for the prognosis of patients with gastric cancer.

Indexed as

advanced gastric cancerdegree of pathological differentiationinfiltrationlymph node metastasismicro ribonucleic acid-101micro ribonucleic acid-24

Identifiers

PMID30405753
PMCPMC6202543

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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.