Evidence map›Paper›PMID 20949563›Full record

ArticleInternational journal of cancer2011

A strategy for distinguishing optimal cancer subtypes.

Colin B Begg

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Evidence for Etiologic Subtypes of Breast Cancer in the Carolina Breast Cancer Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  5. Review
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  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Etiologic field effect: reappraisal of the field effect concept in cancer predisposition and progression.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2015
    Review
  13. Review
  14. Article
  15. Article
  16. Molecular pathological epidemiology of epigenetics: emerging integrative science to analyze environment, host, and disease.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2013
    Review
  17. Article
  18. Review
  19. Age-associated gene expression in normal breast tissue mirrors qualitative age-at-incidence patterns for breast cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    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

1 author at 1 institution in 1 country.

Colin B BeggDepartment of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 307 East 63rd Street, New York, NY 10065, USA. beggc@mskcc.org
Memorial Sloan Kettering Cancer Center · US

Funding

Statistical Strategies for Establishing Etiologic Heterogeneity of TumorsR01CA163251 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2012 to 2015
$1.5M
Statistical Methods for Identifying Clonal TumorsR01CA124504 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B · 2009 to 2011
$1.1M
Estimating Cancer Risks of Rare Genetic VariantsR01CA131010 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BEGG, COLIN B, CAPANU, MARINELA · 2008 to 2010
$944k
NCI NIH HHS CA124504NCI NIH HHS CA131010NCI NIH HHS R01 CA124504NCI NIH HHS R01 CA131010NCI NIH HHS R01 CA163251
6 · The paper itself

Abstract

Much attention is directed currently to identifying subtypes of cancers that are genetically and clinically distinct. The expectation is that subtyping on the basis of somatic genomic characteristics will supplant traditional pathological subtypes with respect to relevance for targeted therapies and clinical course. Less attention has been paid to the goal of validating subtypes on the basis of the distinctiveness of their etiologies. In this article it is shown that studies of individuals with double primary malignancies provide uniquely valuable information for establishing the etiologic distinctiveness of candidate tumor subtypes. Studies of double primaries have the potential to definitively rank candidate taxonomic systems with respect to their etiological relevance by determining which subtypes are most highly correlated in the double primaries. The concept is illustrated with data from studies of the concordance of estrogen and progestin status in bilateral breast cancers, where it is shown that double primaries are much more likely to be concordant with respect to estrogen receptor (ER) status than for PR status. The high concordance of ER status is consistent with a growing literature demonstrating the etiologic distinctiveness of ER+ and ER- tumors.

Indexed as

Breast NeoplasmsCase-Control StudiesFemaleHumansMeta-Analysis as TopicModels, TheoreticalReceptors, EstrogenReceptors, ProgesteroneRisk AssessmentReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID20949563
PMCPMC3043163
OpenAlexW2090556855

What OpenQuestion holds

Textmetadata
LicenceTDM
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.