Evidence map›Paper›PMID 32855362›Full record

ArticleAging2020

Coupled immune stratification and identification of therapeutic candidates in patients with lung adenocarcinoma.

Weilei Hu, Guosheng Wang, Yundi Chen, Lonny B Yarmus, Biao Liu, Yuan Wan

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. 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
0.9field-weighted citation impact, top 23% 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, 19 citations in OpenAlex.

  1. Biomedicines · 2026
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  10. Identifies microtubule-binding proteinComputational and structural biotechnology journal · 2022
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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 4 institutions in 2 countries.

Weilei HuInstitute of Translational Medicine, Zhejiang University, Hangzhou 310029, China.
Guosheng WangThe Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States.
Yundi ChenThe Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States.
Lonny B YarmusDivision of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21218, United States.
Biao LiuDepartment of Pathology, Nanjing Medical University Affiliated Suzhou Hospital, Suzhou 215006, Jiangsu, China.
Yuan WanThe Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States.
Binghamton University · USJohns Hopkins University · USSuzhou Municipal Hospital · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, personalized cancer immunotherapy, especially stratification-driven precision treatments have gained significant traction. However, due to the heterogeneity in clinical cohorts, the uncombined analysis of stratification/therapeutics may lead to confusion in determining ideal therapeutic options. We report that the coupled immune stratification and drug repurposing could facilitate identification of therapeutic candidates in patients with lung adenocarcinoma (LUAD). First, we categorized the patients into four groups based on immune gene profiling, associated with distinct molecular characteristics and clinical outcomes. Then, the weighted gene co-expression network analysis (WGCNA) algorithm was used to identify co-expression modules of each groups. We focused on C3 group which is characterized by low immune infiltration (cold tumor) and wild-type EGFR, posing a significant challenge for treatment of LUAD. Five drug candidates against the C3 status were identified which have potential dual functions to correct aberrant immune microenvironment and also halt tumorigenesis. Furthermore, their steady binding affinity against the targets was verified through molecular docking analysis. In sum, our findings suggest that such coupled analysis could be a promising methodology for identification and exploration of therapeutic candidates in the practice of personalized immunotherapy.

Indexed as

Drug RepositioningTranscriptomeA549 CellsAdenocarcinoma of LungAntineoplastic AgentsBiomarkers, TumorClinical Decision-MakingGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunotherapyLung NeoplasmsMolecular Docking SimulationMolecular Targeted TherapyPrecision MedicineAntineoplastic AgentsBiomarkers, Tumorcold tumordrug repositioningpatient stratificationpersonalized cancer immunotherapiestumor microenvironment

Identifiers

PMID32855362
PMCPMC7485744
OpenAlexW3081889824

What Socratic holds

Textmetadata
LicenceCC BY
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.