Evidence map›Paper›PMID 33280515›Full record

ArticleTechnology in cancer research & treatment

The Lung Adenocarcinoma Microenvironment Mining and Its Prognostic Merit.

Rongchang Zhao, Dan Ding, Wenyan Yu, Chunrong Zhu, Yan Ding

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. 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
1.3field-weighted citation impact, top 16% 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, 12 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

5 authors at 2 institutions in 1 country.

Rongchang ZhaoDepartment of Oncology, Taixing people's Hospital Affiliated to Bengbu Medical College, Taixing, China.ORCID 0000-0002-8453-9446
Dan DingDepartment of Oncology, Taixing people's Hospital Affiliated to Bengbu Medical College, Taixing, China.
Wenyan YuDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Chunrong ZhuDepartment of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yan DingDepartment of Oncology, Taixing people's Hospital Affiliated to Bengbu Medical College, Taixing, China.
Bengbu Medical College · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a common pathological type of lung cancer, lung adenocarcinoma (LUAD) is mainly treated by surgery, chemotherapy, targeted therapy and radiotherapy. Although a relatively mature treatment system has been established, there are few studies on the microenvironment of LUAD. MATERIAL AND

methodsThe immune and stromal scores of patients from the LUAD cohort in the TCGA database were obtained by using ESTIMATE. The relationship of immune and stromal scores with the clinicopathological characteristics and overall survival of LUAD patients was assessed by R. GO, KEGG and Cox regression analyses were employed to analyze intersecting genes and to identify reliable prognostic markers. The identified genes were also analyzed in the GEPIA database to assess their correlations with survival, and these relationships were verified with the Kaplan-Meier Plotter database.

resultsThe immune score was related to the survival time and tumor topography of LUAD patients. There was a significant correlation between stromal score and tumor metastasis. Through multivariate analysis, stage (HR = 1.640, 95% CI = 1.019-2.642,

conclusionsIn the microenvironment of lung adenocarcinoma, the differentially expressed genes screened by immune score and stromal score have certain value in evaluating the survival/prognosis of patients, as well as the invasion and progression of tumors.

Indexed as

Biomarkers, TumorTumor MicroenvironmentAdenocarcinoma of LungComputational BiologyDatabases, GeneticData CurationGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansKaplan-Meier EstimateLymphocytes, Tumor-InfiltratingPrognosisROC CurveTranscriptomeBiomarkers, TumorESTIMATE algorithmlung adenocarcinomaoverall survivalTCGAtumor microenvironment

Identifiers

PMID33280515
PMCPMC7724272
OpenAlexW3112111778

What OpenQuestion holds

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LicenceCC BY-NC
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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.