Evidence map›Paper›PMID 29758924›Full record

ArticleCancer biomarkers : section A of Disease markers2018

The roles of CD133 expression in the patients with non-small cell lung cancer.

Dan Wang, Gui-Min Wen, Wei Hou, Pu Xia

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 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
0.4field-weighted citation impact, top 35% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. A Novel Aniline Derivative fromInternational journal of molecular sciences · 2023
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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

4 authors at 1 institution in 1 country.

Dan WangDepartment of Histology and Embryology, College of Basic Medical Science, Liaoning Medical University, Jinzhou, Liaoning, China.
Gui-Min WenDepartment of Basic Nursing, College of Nursing, Liaoning Medical University, Jinzhou, Liaoning, China.
Wei HouDepartment of Medical Genetics, College of Basic Medical Science, Liaoning Medical University, Jinzhou, Liaoning, China.
Pu XiaDepartment of Cell Biology, College of Basic Medical Science, and Biological Anthropology Institute, Liaoning Medical University, Jinzhou, Liaoning, China.
Jinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was carried out to investigate the correlation between CD133 and non-small cell lung cancer (NSCLC) clinicopathological features and its impact on survival of the patients with NSCLC.

methodsIn the first, we detected the level and localization of CD133 protein in NSCLC specimens and confirmed that CD133 expression was closely linked to poor prognosis of NSCLC. Secondly, TCGA genomic data for LUNG (Provisional) was retrieved and analyzed for genetic alterations of CD133 in different lung cancer subtypes. In the last, a comprehensive literature search for relevant studies published up to December 2015 was performed using Medline, EMBASE Classic + EMBASE, and The Cochrane Central Register of Controlled Trials. RESULTS AND

conclusionBoth our experimental results and pooled results of previous studies indicated that CD133 may be used as a prognostic marker for the patients with NSCLC. However, more studies are required to evaluate CD133 potential use in predicting patients' outcome.

Indexed as

Biomarkers, TumorGene ExpressionAC133 AntigenAdultAgedCarcinoma, Non-Small-Cell LungFemaleHumansImmunohistochemistryKaplan-Meier EstimateLung NeoplasmsMaleMeta-Analysis as TopicMiddle AgedNeoplasm GradingNeoplasm StagingAC133 AntigenBiomarkers, TumorRNA, Messengerdifferentiationhazard ratiohistologyNon-small-cell lung cancersurvival

Identifiers

PMID29758924
PMCPMC13078474
OpenAlexW2800570060

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.