Evidence map›Paper›PMID 15090264›Full record

ArticleJournal of cellular and molecular medicine

The development of larger cells that spontaneously escape senescence--a step during the immortalization of a human cancer cell line.

Carmen C Diaconu, Coralia Bleotu, Mihaela Chivu, Irina Alexiu, Daniela Petrusca, Gabriela Anton, Ruxandra Achim, Simona M Ruta, C Cernescu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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.

Carmen C DiaconuSt. S. Nicolau Institute of Virology, Bucharest, Romania. ccdiaconu@yahoo.com
Coralia Bleotu
Mihaela Chivu
Irina Alexiu
Daniela Petrusca
Gabriela Anton
Ruxandra Achim
Simona M Ruta
C Cernescu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are few information concerning the changes associated with the transition interval when slow growing, primary explanted human cancer cells are displaced by new selected faster growing cells and became an immortal cell line. In a previous paper (J. Cell. Mol. Med., 5: 49-59, 2001) we described the TV cell line derived from a laryngeal tumor which harbors human papillomavirus (HPV) gene sequences throughout more than sixty in vitro passages. In this paper we analyze the modifications observed during the crisis interval when significant amount of cells senesce but occasional cells acquire some mutations that make them immortal. Confocal microscopy analysis revealed the heterogeneity of the cells in terms of their size and nucleus/cell ratio. Proliferation capacity was assessed by flow cytometry analyzing DNA content and expression of transferrin receptor (CD71). We discussed the possibility that HPV genome sequences alleviate a proliferation block during the crisis growth arrest of human larynx carcinoma cell line and the possibility that the cells monitor their size and growth by measuring the levels of some protein whose synthesis is coupled to cell development.

Indexed as

Cell LineAntigens, CDAntigens, Differentiation, B-LymphocyteCarcinomaCell Culture TechniquesCell DivisionCell Line, TumorCell NucleusCells, CulturedCellular SenescenceDNAFlow CytometryGenome, ViralHumansLaryngeal NeoplasmsMicroscopy, ConfocalAntigens, CDAntigens, Differentiation, B-LymphocyteCD71 antigenDNAReceptors, Transferrin

Identifiers

PMID15090264
PMCPMC6740141
OpenAlexW2093784555

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.