Evidence map›Paper›PMID 25890236›Full record

ArticleBMC medicine2015

Improved survival among colon cancer patients with increased differentially expressed pathways.

Martha L Slattery, Jennifer S Herrick, Lila E Mullany, Jason Gertz, Roger K Wolff

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Infrequently expressed miRNAs in colorectal cancer tissue and tumor molecular phenotype.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
  7. Article
  8. Personalized Analysis by Validation of Monte Carlo for Application of Pathways in Cardioembolic Stroke.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  9. Personalized Identification of Differentially Expressed Modules in Osteosarcoma.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Martha L SlatteryDepartment of Internal Medicine, University of Utah School of Medicine, 383 Colorow, Salt Lake City, 84018, USA. marty.slattery@hsc.utah.edu.
Jennifer S HerrickDepartment of Internal Medicine, University of Utah School of Medicine, 383 Colorow, Salt Lake City, 84018, USA. jennifer.herrick@hsc.utah.edu.
Lila E MullanyDepartment of Internal Medicine, University of Utah School of Medicine, 383 Colorow, Salt Lake City, 84018, USA. lila.mullany@hsc.utah.edu.
Jason GertzDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, 1950 Circle of Hope, Salt Lake City, 84112, USA. jay.gertz@hci.utah.edu.
Roger K WolffDepartment of Internal Medicine, University of Utah School of Medicine, 383 Colorow, Salt Lake City, 84018, USA. roger.wolff@hsc.utah.edu.
University of Utah · USHuntsman Cancer Institute · US

Funding

DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERR01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA L · 1991 to 2012
$7.9M
SURVEILLANCE EPIDEMIOLOGY &END RESULTS PROGRAMN01PC067000 · PC · UNIVERSITY OF UTAH · PI WIGGINS, CHARLES L · 1996 to 2000
$1.3M
DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERU01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA OR MARTY L · 1997 to 1999
–
NCI NIH HHS CA48998NCI NIH HHS N01-PC-67000NCI NIH HHS R01 CA048998NCI NIH HHS U01 CA048998
6 · The paper itself

Abstract

backgroundStudies of colorectal cancer (CRC) have shown that hundreds to thousands of genes are differentially expressed in tumors when compared to normal tissue samples. In this study, we evaluate how genes that are differentially expressed in colon versus normal tissue influence survival.

methodsWe performed RNA-seq on tumor/normal paired samples from 175 colon cancer patients. We implemented a cross validation strategy to determine genes that were significantly differentially expressed between tumor and normal samples. Differentially expressed genes were evaluated with Ingenuity Pathway Analysis to identify key pathways that were de-regulated. A summary differential pathway expression score (DPES) was developed to summarize hazard of dying while adjusting for age, American Joint Committee on Cancer (AJCC) stage, sex, and tumor molecular phenotype, i.e., MSI, TP53, KRAS, and CIMP.

resultsA total of 1,138 genes were up-regulated and 695 were down-regulated. These de-regulated genes were enriched for 19 Ingenuity Canonical Pathways, with the most significant pathways involving cell signaling and growth. Of the enriched pathways, 16 were significantly associated with CRC-specific mortality, including 1 metabolic pathway and 15 signaling pathways. In all instances, having a higher DPES (i.e., more de-regulated genes) was associated with better survival. Further assessment showed that individuals diagnosed at AJCC Stage 1 had more de-regulated genes than individuals diagnosed at AJCC Stage 4.

conclusionsOur data suggest that having more de-regulated pathways is associated with a good prognosis and may be a reaction to key events that are disabling to tumor progression. Please see related article: http://dx.doi.org/10.1186/s12916-015-0307-6 .

Indexed as

TranscriptomeAdultAgedColorectal NeoplasmsFemaleGene Expression ProfilingHumansMaleMiddle AgedPrognosis

Identifiers

PMID25890236
PMCPMC4389992
OpenAlexW2090267120

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.