Evidence map›Paper›PMID 22007345›Full record

ArticlePathology research international2011

Tumor suppressors and cell-cycle proteins in lung cancer.

Alfonso Baldi, Antonio De Luca, Vincenzo Esposito, Mara Campioni, Enrico P Spugnini, Gennaro Citro

Open access · hybridAbstract read
In one paragraph

Article in Pathology research international, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  3. ATF3 in atherosclerosis: a controversial transcription factor.Journal of molecular medicine (Berlin, Germany) · 2022
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  4. Organic extract ofOncology letters · 2022
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  15. Relationship of immunohistochemical biomarker expression and lymph node involvement in patients undergoing surgical treatment of NSCLC with long-term follow-up.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  16. Autoantibodies against p16 protein-derived peptides may be a potential biomarker for non-small cell lung cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  17. Review
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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 2 institutions in 1 country.

Alfonso BaldiSection of Pathology, Department of Biochemistry, Second University of Naples, 80138 Naples, Italy.
Antonio De Luca
Vincenzo Esposito
Mara Campioni
Enrico P Spugnini
Gennaro Citro
University of Campania "Luigi Vanvitelli" · ITOspedale D. Cotugno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell cycle is the cascade of events that allows a growing cell to duplicate all its components and split into two daughter cells. Cell cycle progression is mediated by the activation of a highly conserved family of protein kinases, the cyclin-dependent kinases (CDKs). CDKs are also regulated by related proteins called cdk inhibitors grouped into two families: the INK4 inhibitors (p16, p15, p19, and p18) and the Cip/Kip inhibitors (p21, p27, and p53). Several studies report the importance of cell-cycle proteins in the pathogenesis and the prognosis of lung cancer. This paper will review the most recent data from the literature about the regulation of cell cycle. Finally, based essentially on the data generated in our laboratory, the expression, the diagnostic, and prognostic significance of cell-cycle molecules in lung cancer will be examined.

Identifiers

PMID22007345
PMCPMC3189597
OpenAlexW1966532278

What OpenQuestion holds

Textmetadata
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.