Evidence map›Paper›PMID 24764655›Full record

ReviewWorld journal of gastroenterology2014

Genetic variations in colorectal cancer risk and clinical outcome.

Kejin Zhang, Jesse Civan, Sushmita Mukherjee, Fenil Patel, Hushan Yang

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Differential gene expression of tumor-infiltrating CD8Journal for immunotherapy of cancer · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Functional polymorphisms of the lncRNACancer cell international · 2019
    Article
  15. Article
  16. Article
  17. Review
  18. Genetic Variation inIndian journal of clinical biochemistry : IJCB · 2017
    Article
  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

5 authors at 1 institution in 2 countries.

Kejin ZhangKejin Zhang, Sushmita Mukherjee, Fenil Patel, Hushan Yang, Division of Population Science, Department of Medical Oncology, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, United States.
Jesse CivanKejin Zhang, Sushmita Mukherjee, Fenil Patel, Hushan Yang, Division of Population Science, Department of Medical Oncology, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, United States.
Sushmita MukherjeeKejin Zhang, Sushmita Mukherjee, Fenil Patel, Hushan Yang, Division of Population Science, Department of Medical Oncology, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, United States.
Fenil PatelKejin Zhang, Sushmita Mukherjee, Fenil Patel, Hushan Yang, Division of Population Science, Department of Medical Oncology, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, United States.
Hushan YangKejin Zhang, Sushmita Mukherjee, Fenil Patel, Hushan Yang, Division of Population Science, Department of Medical Oncology, Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, United States.
Thomas Jefferson University · US

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
Tumor microRNA signatures as prognostic biomarkers of colorectal cancerR03CA162201 · NCI · THOMAS JEFFERSON UNIVERSITY · PI YANG, HUSHAN · 2012 to 2013
$150k
NCI NIH HHS CA162201NCI NIH HHS P30 CA056036NCI NIH HHS R03 CA162201
6 · The paper itself

Abstract

Colorectal cancer (CRC) has an apparent hereditary component, as evidenced by the well-characterized genetic syndromes and family history associated with the increased risk of this disease. However, in a large fraction of CRC cases, no known genetic syndrome or family history can be identified, suggesting the presence of "missing heritability" in CRC etiology. The genome-wide association study (GWAS) platform has led to the identification of multiple replicable common genetic variants associated with CRC risk. These newly discovered genetic variations might account for a portion of the missing heritability. Here, we summarize the recent GWASs related to newly identified genetic variants associated with CRC risk and clinical outcome. The findings from these studies suggest that there is a lack of understanding of the mechanism of many single nucleotide polymorphisms (SNPs) that are associated with CRC. In addition, the utility of SNPs as prognostic markers of CRC in clinical settings remains to be further assessed. Finally, the currently validated SNPs explain only a small fraction of total heritability in complex-trait diseases like CRC. Thus, the "missing heritability" still needs to be explored further. Future epidemiological and functional investigations of these variants will add to our understanding of CRC pathogenesis, and may ultimately lead to individualized strategies for prevention and treatment of CRC.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideCell CycleColorectal NeoplasmsGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansPrognosisRisk FactorsSignal TransductionTreatment OutcomeCell cycle controlColorectal cancerGene desertGenome instabilityGenome-wide association studySignal transduction pathwaysSingle nucleotide polymorphism

Identifiers

PMID24764655
PMCPMC3989953
OpenAlexW2165542693

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.