Evidence map›Paper›PMID 38628672›Full record

ArticleFrontiers in oncology2024

Clinical significance of miR-9-5p in NSCLC and its relationship with smoking.

Tian-Xiang Zhang, Xin-Chun Duan, Yong Cui, Ye Zhang, Meng Gu, Zi-Yu Wang, Wei-Ying Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 4 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

7 authors at 3 institutions in 1 country.

Tian-Xiang Zhang *Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xin-Chun Duan *Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yong Cui *Department of Thoracic Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Ye ZhangDepartment of Infectious Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Meng GuCancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Zi-Yu WangCancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Wei-Ying LiCancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
Capital Medical University · CNBeijing Friendship Hospital · CNBeijing Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Dysregulated expression of microRNA (miRNAs) in lung cancer has been wildly reported. The clinicopathologic significance of miR-9-5p in non-small-cell lung cancer (NSCLC) patients and its effect on NSCLC progression were explored in this study. Patients and methods: A total of 76 NSCLC patients were included. miR-9-5p expression was evaluated by real-time quantitative polymerase chain reaction (RT-qPCR). Then, Results: miR-9-5p expression was significantly increased in tumor tissues (both Conclusion: Upregulation of miR-9-5p may have an oncogenic effect in NSCLC and may be related to smoking. The conclusion of this study may help find new prognostic and therapeutic targets for NSCLC and the exploration of the relationship between smoking and lung cancer.

Indexed as

migrationmiR-9-5pnon-small-cell lung cancerproliferationsmoking

Identifiers

PMID38628672
PMCPMC11018953
OpenAlexW4393443490

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.