Evidence map›Paper›PMID 39304978›Full record

ReviewJournal of cellular and molecular medicine2024

Beyond biomarkers: Exploring the diverse potential of a novel phosphoprotein in lung cancer management.

Amirabbas Rostami, Ehsan Ranjbar, Somayeh Amiri, Fatemeh Ezzatifar

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Amirabbas RostamiDepartment of Internal Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0002-1841-6077
Ehsan RanjbarDepartment of Urology, Uro-Oncology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Somayeh AmiriDepartment of Microbiology, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Fatemeh EzzatifarDepartment of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.ORCID 0000-0002-3287-2781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addressing the challenges of lung cancer, attention has increasingly turned to molecular diagnostics and targeted therapies, with nucleolin (NCL) assuming a pivotal role, especially in non-small cell lung cancer. The aberrant activity and cellular distribution of NCL act as crucial biomarkers for early detection and treatment monitoring, showing a strong correlation with disease progression and patient prognosis. Elevated NCL levels signal advanced disease and poorer outcomes, underscoring its significance in evaluating disease severity and therapeutic response. Strategies targeting the molecular interactions of NCL have spurred innovative approaches to inhibit tumour growth, overcome drug resistance and improve treatment efficacy. These advancements are paving the way for personalized therapies tailored to the unique molecular profiles of patients' tumours. Consequently, NCL stands at the forefront of lung cancer management, symbolizing the move towards more precise and individualized oncology care, and marking substantial progress in therapeutic development.

Indexed as

Biomarkers, TumorLung NeoplasmsNucleolinPhosphoproteinsRNA-Binding ProteinsAnimalsCarcinoma, Non-Small-Cell LungHumansMolecular Targeted TherapyPrognosisBiomarkers, TumorNucleolinPhosphoproteinsRNA-Binding Proteinsautoantibodydiagnosislung cancernucleolinprognosistherapy

Identifiers

PMID39304978
PMCPMC11415302

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.