Evidence map›Paper›PMID 25572253›Full record

ReviewJournal of genetics2014

Genetic basis of interindividual susceptibility to cancer cachexia: selection of potential candidate gene polymorphisms for association studies.

N Johns, B H Tan, M MacMillan, T S Solheim, J A Ross, V E Baracos, S Damaraju, K C H Fearon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Association of the rs3917647 polymorphism of the SELP gene with malnutrition in gastric cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  4. Current Therapeutic Targets in Cancer Cachexia: A Pathophysiologic Approach.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Polymorphisms inNagoya journal of medical science · 2019
    Article
  10. Article
  11. Article
  12. Variants ofOncotarget · 2017
    Article
  13. Article
  14. Article
  15. Practical multimodal care for cancer cachexia.Current opinion in supportive and palliative care · 2016
    Review
  16. STAT3 in the systemic inflammation of cancer cachexia.Seminars in cell & developmental biology · 2016
    Review
  17. Review
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

8 authors at 4 institutions in 3 countries.

N JohnsDepartment of Clinical and Surgical Sciences, University of Edinburgh, Edinburgh, EH16 4SB, UK. k.fearon@ed.ac.uk.
B H Tan
M MacMillan
T S Solheim
J A Ross
V E Baracos
S Damaraju
K C H Fearon
University of Edinburgh · GBUniversity of Alberta · CANorwegian University of Science and Technology · NORoyal Derby Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cachexia is a complex and multifactorial disease. Evolving definitions highlight the fact that a diverse range of biological processes contribute to cancer cachexia. Part of the variation in who will and who will not develop cancer cachexia may be genetically determined. As new definitions, classifications and biological targets continue to evolve, there is a need for reappraisal of the literature for future candidate association studies. This review summarizes genes identified or implicated as well as putative candidate genes contributing to cachexia, identified through diverse technology platforms and model systems to further guide association studies. A systematic search covering 1986-2012 was performed for potential candidate genes / genetic polymorphisms relating to cancer cachexia. All candidate genes were reviewed for functional polymorphisms or clinically significant polymorphisms associated with cachexia using the OMIM and GeneRIF databases. Pathway analysis software was used to reveal possible network associations between genes. Functionality of SNPs/genes was explored based on published literature, algorithms for detecting putative deleterious SNPs and interrogating the database for expression of quantitative trait loci (eQTLs). A total of 154 genes associated with cancer cachexia were identified and explored for functional polymorphisms. Of these 154 genes, 119 had a combined total of 281 polymorphisms with functional and/or clinical significance in terms of cachexia associated with them. Of these, 80 polymorphisms (in 51 genes) were replicated in more than one study with 24 polymorphisms found to influence two or more hallmarks of cachexia (i.e., inflammation, loss of fat mass and/or lean mass and reduced survival). Selection of candidate genes and polymorphisms is a key element of multigene study design. The present study provides a contemporary basis to select genes and/or polymorphisms for further association studies in cancer cachexia, and to develop their potential as susceptibility biomarkers of cachexia.

Indexed as

Genetic Predisposition to DiseaseCachexiaGenetic Association StudiesHumansNeoplasmsPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID25572253
OpenAlexW1995156104

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.