Evidence map›Paper›PMID 40282365›Full record

ArticleGenes2025

The Interconnection Between UbcH10, p53, and EGFR in Lung Cancer Cells and Their Involvement in Treatment Response.

Cristina Quintavalle, Umberto Malapelle, Marco De Martino, Danilo Rocco, Alfredo Fusco, Francesco Pepe, Claudio Bellevicine, Francesco Esposito, Pierlorenzo Pallante

Abstract read
In one paragraph

Article in Genes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Cristina QuintavalleInstitute of Endotypes in Oncology, Metabolism and Immunology (IEOMI) "G. Salvatore", National Research Council (CNR), S. Pansini 5, 80131 Naples, Italy.
Umberto MalapelleDepartment of Public Health, University of Naples "Federico II", S. Pansini 5, 80131 Naples, Italy.ORCID 0000-0003-3211-9957
Marco De MartinoDepartment of Molecular Medicine and Medical Biotechnology (DMMBM), University of Naples "Federico II", S. Pansini 5, 80131 Naples, Italy.
Danilo RoccoDepartment of Pulmonary Oncology, "V. Monaldi" Hospital, AORN Ospedali dei Colli, L. Bianchi, 80131 Naples, Italy.
Alfredo FuscoDepartment of Molecular Medicine and Medical Biotechnology (DMMBM), University of Naples "Federico II", S. Pansini 5, 80131 Naples, Italy.
Francesco PepeDepartment of Public Health, University of Naples "Federico II", S. Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-2803-9586
Claudio BellevicineDepartment of Public Health, University of Naples "Federico II", S. Pansini 5, 80131 Naples, Italy.ORCID 0000-0002-7479-6457
Francesco EspositoInstitute of Endotypes in Oncology, Metabolism and Immunology (IEOMI) "G. Salvatore", National Research Council (CNR), S. Pansini 5, 80131 Naples, Italy.
Pierlorenzo PallanteInstitute of Endotypes in Oncology, Metabolism and Immunology (IEOMI) "G. Salvatore", National Research Council (CNR), S. Pansini 5, 80131 Naples, Italy.ORCID 0000-0001-7319-684X

Funding

Consiglio Nazionale delle Ricerche CNR Flagship Project Nanomax-Desired
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsTumor Suppressor Protein p53Cell Line, TumorDrug Resistance, NeoplasmErbB ReceptorsErlotinib HydrochlorideFemaleGene Expression Regulation, NeoplasticHumansMaleMutationProtein Kinase InhibitorsEGFR protein, humanErbB ReceptorsErlotinib HydrochlorideProtein Kinase InhibitorsTP53 protein, humanTumor Suppressor Protein p53adenocarcinomaEGFRnon-small cell lung cancerp53resistanceUbcH10

Identifiers

PMID40282365
PMCPMC12026858

What OpenQuestion 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 OpenQuestion graph.