Evidence map›Paper›PMID 33314730›Full record

ArticleCancer medicine2021

Immune landscape and a promising immune prognostic model associated with TP53 in early-stage lung adenocarcinoma.

Chengde Wu, Xiang Rao, Wei Lin

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

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  4. Decoding potential targets and pharmacologic mechanisms of curcumin in treating non-small cell lung carcinoma via bioinformatics and molecular docking.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
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  15. International journal of general medicine · 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

3 authors at 1 institution in 1 country.

Chengde WuDepartment of Thoracic Surgery, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, China.
Xiang RaoDepartment of Pathology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, China.
Wei LinDepartment of Thoracic Surgery, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, China.ORCID 0000-0001-9598-7474
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTP53 mutation, one of the most frequent mutations in early-stage lung adenocarcinoma (LUAD), triggers a series of alterations in the immune landscape, progression, and clinical outcome of early-stage LUAD. Our study was designed to unravel the effects of TP53 mutation on the immunophenotype of early-stage LUAD and formulate a TP53-associated immune prognostic model (IPM) that can estimate prognosis in early-stage LUAD patients. MATERIALS AND

methodsImmune-associated differentially expressed genes (DEGs) between TP53 mutated (TP53

resultsTP53 mutation occurred in approximately 50.00% of LUAD patients, stimulating a weakened immune response in early-stage LUAD. Sixty-seven immune-associated DEGs were determined between TP53

conclusionThe IPM based on TP53 status is a reliable and robust immune signature to identify early-stage LUAD patients with high risk of unfavorable survival.

Indexed as

NomogramsAdenocarcinoma of LungBiomarkers, TumorDatabases, GeneticFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedMutationPrognosisRetrospective StudiesROC CurveBiomarkers, TumorTP53 protein, humanTumor Suppressor Protein p53CIBERSORTearly-stage lung adenocarcinomaimmune prognostic modelprognosisTP53

Identifiers

PMID33314730
PMCPMC7897963
OpenAlexW3112116721

What OpenQuestion holds

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Registered trials

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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.