Evidence map›Paper›PMID 27105536›Full record

ArticleOncotarget2016

Growth suppression by MYC inhibition in small cell lung cancer cells with TP53 and RB1 inactivation.

Francesco Paolo Fiorentino, Elvan Tokgün, Sònia Solé-Sánchez, Sabrina Giampaolo, Onur Tokgün, Toni Jauset, Takashi Kohno, Manuel Perucho, Laura Soucek, Jun Yokota

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.9field-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

48 citing papers in PubMed, 78 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Actionable Driver Events in Small Cell Lung Cancer.International journal of molecular sciences · 2023
    Review
  17. Article
  18. Review
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Francesco Paolo FiorentinoGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Elvan TokgünGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Sònia Solé-SánchezGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Sabrina GiampaoloGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Onur TokgünGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Toni JausetVall d'Hebron Institute of Oncology (VHIO) Hospital Vall d'Hebron, Barcelona, Spain.
Takashi KohnoDivision of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan.
Manuel PeruchoGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Laura SoucekVall d'Hebron Institute of Oncology (VHIO) Hospital Vall d'Hebron, Barcelona, Spain.
Jun YokotaGenomics and Epigenomics of Cancer Prediction Program, Institute of Predictive and Personalized Medicine of Cancer (IMPPC), Campus Can Ruti, Barcelona, Spain.
Institute of Predictive and Personalized Medicine of Cancer · ESInstitució Catalana de Recerca i Estudis Avançats · ESVall d'Hebron Hospital Universitari · ES

Funding

European Research Council 617473
6 · The paper itself

Abstract

Small cell lung cancer (SCLC) is the most aggressive type of lung cancer with high mortality. One of the MYC family genes, MYC, MYCL or MYCN, is amplified in ~20% of the SCLCs; therefore, MYC proteins are potential therapeutic targets in SCLC patients. We investigated the therapeutic impact of Omomyc, a MYC dominant negative, in a panel of SCLC cell lines. Strikingly, Omomyc suppressed the growth of all tested cell lines by inducing cell cycle arrest and/or apoptosis. Induction of G1 arrest by Omomyc was found to be dependent on the activation of CDKN1A, in part, through the TP73 pathway. Our results strongly indicate that SCLC cells carrying amplification of MYC, MYCL or MYCN are addicted to MYC function, suggesting that MYC targeting would be an efficient therapeutic option for SCLC patients.

Indexed as

Basic Helix-Loop-Helix Leucine Zipper Transcription FactorsCell Cycle CheckpointsCell DeathCell Growth ProcessesGene AmplificationGene SilencingGenes, p53Genetic TherapyHEK293 CellsHumansLung NeoplasmsMolecular Targeted TherapyPeptide FragmentsProto-Oncogene Proteins c-mycRetinoblastoma Binding ProteinsSmall Cell Lung CarcinomaBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsMAX protein, humanMYC protein, humanomomyc proteinPeptide FragmentsProto-Oncogene Proteins c-mycRB1 protein, humanRetinoblastoma Binding ProteinsTP53 protein, humanTumor Suppressor Protein p53Ubiquitin-Protein LigasesCDKN1AMYCMYCLSCLCsmall cell lung cancer

Identifiers

PMID27105536
PMCPMC5058735
OpenAlexW2341849960

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.