Evidence map›Paper›PMID 37389184›Full record

ArticleiScience2023

Whole-genome DNA methylation and DNA methylation-based biomarkers in lung squamous cell carcinoma.

Qidong Cai, Boxue He, Guangxu Tu, Weilin Peng, Shuai Shi, Banglun Qian, Qingchun Liang, Shaoliang Peng, Yongguang Tao, Xiang Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

10 authors.

Qidong CaiDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Boxue HeDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Guangxu TuDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Weilin PengDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Shuai ShiDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Banglun QianDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Qingchun LiangDepartment of Pathology, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Shaoliang PengCollege of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China.
Yongguang TaoDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.
Xiang WangDepartment of Thoracic Surgery, Second Xiangya Hospital, Central South University, Changsha 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploring early detection methods through comprehensive evaluation of DNA methylation for lung squamous cell carcinoma (LUSC) patients is of great significance. By using different machine learning algorithms for feature selection and model construction based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, five methylation biomarkers in LUSC (along with mapped genes) were identified including cg14823851 (TBX4), cg02772121 (TRIM15), cg10424681 (C6orf201), cg12910906 (ARHGEF4), and cg20181079 (OR4D11), achieving extremely high sensitivity and specificity in distinguishing LUSC from normal samples in independent cohorts. Pyrosequencing assay verified DNA methylation levels, meanwhile qRT-PCR and immunohistochemistry results presented their accordant methylation-related gene expression statuses in paired LUSC and normal lung tissues. The five methylation-based biomarkers proposed in this study have great potential for the diagnosis of LUSC and could guide studies in methylation-regulated tumor development and progression.

Indexed as

BioinformaticsBiological sciencesCancerComputational bioinformaticsGenomic analysis

Identifiers

PMID37389184
PMCPMC10300376

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.