Evidence map›Paper›PMID 34539658›Full record

ArticleFrontiers in immunology2021

Signatures of Multi-Omics Reveal Distinct Tumor Immune Microenvironment Contributing to Immunotherapy in Lung Adenocarcinoma.

Ziqi Huang, Baihui Li, Yan Guo, Lei Wu, Fan Kou, Lili Yang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  4. The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 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.

Ziqi HuangDepartment of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Baihui LiDepartment of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Yan GuoDepartment of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Lei WuDepartment of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Fan KouDepartment of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Lili YangDepartment of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Tianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD) contains a variety of genomic and epigenomic abnormalities; the effective tumor markers related to these abnormalities need to be further explored. Methods: Clustering analysis was performed based on DNA methylation (MET), DNA copy number variation (CNV), and mRNA expression data, and the differences in survival and tumor immune microenvironment (TIME) between subtypes were compared. Further, we evaluated the signatures in terms of both prognostic value and immunological characteristics. Results: There was a positive correlation between MET and CNV in LUAD. Integrative analysis of multi-omics data from 443 samples determined molecular subtypes, iC1 and iC2. The fractions of CD8+ T cells and activated CD4+ T cells were higher, the fraction of Tregs was lower, and the expression level of programmed death-ligand 1 (PD-L1) was higher in iC2 with a poor prognosis showing a higher TIDE score. We selected Conclusions: These findings demonstrated that combined multi-omics data could determine molecular subtypes with significant differences of prognosis and TIME in LUAD and suggested potent utility of the signatures to guide immunotherapy.

Indexed as

EpigenomicsAdenocarcinoma of LungAgedB7-H1 AntigenBiomarkers, TumorCD8-Positive T-LymphocytesDNA Copy Number VariationsDNA MethylationFemaleGene Expression Regulation, NeoplasticGlucose Transporter Type 1HumansImmunotherapyLung NeoplasmsMaleMiddle AgedB7-H1 AntigenBiomarkers, TumorFAM83A protein, humanGlucose Transporter Type 1Neoplasm Proteinspituitary tumor-transforming protein 1, humanSecurinSLC2A1 protein, humanCNVimmunotherapylung cancerMETmulti-omic analysisPD-L1tumor immune microenvironment

Identifiers

PMID34539658
PMCPMC8446514
OpenAlexW3196333761

What OpenQuestion holds

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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.