Evidence map›Paper›PMID 30008873›Full record

ArticleOncology letters2018

Prognostic significance of ANLN in lung adenocarcinoma.

Xiangyu Long, Wei Zhou, Yuanxing Wang, Shiqiang Liu

Open access · diamondAbstract 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 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

42 citing papers in PubMed, 65 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

4 authors at 3 institutions in 1 country.

Xiangyu LongDepartment of Oncology, West China Guang'an Hospital, Sichuan University, Guang'an, Sichuan 638000, P.R. China.
Wei ZhouDepartment of Oncology, West China Guang'an Hospital, Sichuan University, Guang'an, Sichuan 638000, P.R. China.
Yuanxing WangDepartment of Oncology, West China Guang'an Hospital, Sichuan University, Guang'an, Sichuan 638000, P.R. China.
Shiqiang LiuDepartment of Cardiothoracic Surgery, Nanchong Central Hospital, The Second Clinical College of North Sichuan Medical College, Nanchong, Sichuan 637900, P.R. China.
West China Hospital of Sichuan University · CNNanchong Central Hospital · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anillin actin binding protein (ANLN) is a biomarker of cancer progression and is overexpressed in lung adenocarcinoma. The aim of the present study was to investigate the role of ANLN protein and RNA in the development of lung adenocarcinoma. The ANLN protein sequence was downloaded from The National Centre for Biotechnology information, RNA sequencing (RNA-seq) data was obtained from The Cancer Genome Atlas database. All immunohistochemical staining pictures were adapted from the Human Protein Atlas. PyMOL software was employed to predict protein functional changes in response to mutations. Gene Set Enrichments Analysis was employed for pathway analysis. The results indicated that ANLN experiences genetic change and overexpression at the RNA and protein levels in patients with lung adenocarcinoma. Kaplan-Meier survival curve analysis revealed significant differences between high and low RNA-seq expression levels in ANLN, and patients exhibiting higher expression of ANLN had a relatively poor prognosis. Pathway analysis demonstrated that ANLN was involved in developmental processes via the regulation of nuclear division' pathway. In conclusion, ANLN has potential for use as a diagnostic and prognostic biomarker to diagnoseand predict the outcome of lung adenocarcinoma.

Indexed as

anillin actin binding proteinbioinformaticsbiomarkerlung adenocarcinoma

Identifiers

PMID30008873
PMCPMC6036425
OpenAlexW2805785080

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.