Evidence map›Paper›PMID 29305708›Full record

ArticleJournal of cancer research and clinical oncology2018

Identification of specific feed-forward apoptosis mechanisms and associated higher survival rates for low grade glioma and lung squamous cell carcinoma.

Dhiraj Sikaria, Yaping N Tu, Diana A Fisler, James A Mauro, George Blanck

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. 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
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

5 authors at 1 institution in 1 country.

Dhiraj SikariaDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
Yaping N TuDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
Diana A FislerDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
James A MauroDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
George BlanckDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA. gblanck@health.usf.edu.ORCID http://orcid.org/0000-0003-1664-0996
University of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms of cell proliferation due to the overexpression of certain transcription factors (TFs) have been well documented in the cancer setting. However, many of these same TFs have pro-apoptotic effects, particularly when expressed or activated at high levels, a process referred to as feed-forward apoptosis (FFA). To determine whether cancers could be stratified on the basis of specific FFA signatures, RNASeq data representing samples from the cancer genome atlas were analyzed, revealing that high expression of the pro-proliferative TFs, MYC and YY1, is associated with a favorable outcome in low-grade glioma (LGG) and lung squamous cell carcinoma (LUSC), respectively. Analysis of the RNASeq data also led to the identification of specific apoptosis-effector genes whose expression levels correlate with increased survival rates, for both LGG and LUSC. Although FFA has been demonstrated as a general effect in cancer, in this report, for the first time, results identify specific TFs and their responsive effector genes that distinguish subsets of cancer samples undergoing more or less of a FFA process in a way that is associated with distinct patient survival rates.

Indexed as

ApoptosisApoptosis Regulatory ProteinsCarcinoma, Squamous CellGene Expression ProfilingGene Expression Regulation, NeoplasticGliomaHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsNeoplasm GradingSignal TransductionSurvival RateTranscription FactorsApoptosis Regulatory ProteinsTranscription FactorsApoptosis-effector genesFeed-forward apoptosisGliomaLung cancerPro-proliferative transcription factorsThe cancer genome atlas

Identifiers

PMID29305708
PMCPMC11813326
OpenAlexW2782541139

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.