Evidence map›Paper›PMID 37859733›Full record

ArticleTranslational cancer research2023

m6A reading protein RBMX as a biomarker for prognosis and tumor progression in esophageal cancer.

Hainisayimu Tuersun, Ling Liu, Jing Zhang, Rezeye Maimaitizunong, Xiaohui Tang, Hui Li

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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  6. Cross-talk of mFrontiers in immunology · 2025
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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

6 authors at 1 institution in 1 country.

Hainisayimu Tuersun *School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Ling Liu *School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Jing ZhangSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Rezeye MaimaitizunongSchool of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China.
Xiaohui TangCentral Laboratory of Xinjiang Medical University, Urumqi, China.
Hui LiCentral Laboratory of Xinjiang Medical University, Urumqi, China.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a member of m6A methylated binding protein, RNA binding motif protein X-linked (RBMX) has been reported to be associated with tumor invasion, metastasis and prognosis. However, the prognostic significance of RBMX expression in esophageal cancer (ESCA) remains unclear. Methods: Based on the TIMER database, GEPIA database, cBioPortal database, CIBERSORT deconvolution algorithm, String-DB database, LinkedOmics database, etc., the RBMX expression level, mRNA expression level, prognostic relationship, genetic mutation, immune cell infiltration level, protein interaction network, differential co-expression genes and functional enrichment in esophageal carcinoma were analyzed. Immunohistochemistry was used to detect the expression of RBMX in 53 cases of esophageal carcinoma and adjacent esophageal tissues. Results: The RBMX expression in ESCA tissue was significantly higher than that in the normal tissues. The overall survival (OS) of patients with high RBMX expression was significantly lower than that of patients with low expression (P=0.04). The protein encoded by the Conclusions: RBMX may be as a biomarker of poor prognosis of ESCA. RBMX is closely related to the survival and prognosis, genetic mutation and immune cell infiltration of patients with ESCA.

Indexed as

Bioinformatics analysisesophageal cancer (ESCA)m6AprognosisRNA binding motif protein X-linked (RBMX)

Identifiers

PMID37859733
PMCPMC10583014
OpenAlexW4387019853

What OpenQuestion holds

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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.