Evidence map›Paper›PMID 24874299›Full record

ArticleScientific reports2014

Current breast cancer proliferative markers correlate variably based on decoupled duration of cell cycle phases.

Lik Hang Lee, Hua Yang, Gilbert Bigras

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Biotechnology reports (Amsterdam, Netherlands) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Association Between Phosphorylated Histone H3 and Oncotype DX Recurrence Scores in Breast Cancer.Applied immunohistochemistry & molecular morphology : AIMM · 2017
    Article
  17. Article
  18. Image Analysis in Surgical Pathology.Surgical pathology clinics · 2016
    Review
  19. 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

3 authors at 2 institutions in 1 country.

Lik Hang LeeDepartment of Laboratory Medicine and Pathology, University of Calgary, AB, Canada.
Hua YangDepartment of Laboratory Medicine and Pathology, University of Calgary, AB, Canada.
Gilbert BigrasDepartment of Laboratory Medicine and Pathology, Cross Cancer Institute, University of Alberta, AB, Canada.
University of Calgary · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitotic count, PhH3, and MIB-1 are used as measures of the proportion of proliferating malignant cells in surgical pathology. They highlight different stages of the cell cycle, but little is known about how this affects their counts. This study assesses the strength of their correlations and attempts to determine the relationship between them. Proliferation counts for forty-nine consecutive cases of invasive breast carcinomas were analyzed, with the same tumor area on each stain counted using digital image analysis. The integrated optical density (IOD) of nuclei was measured as an approximation of nuclear DNA content. PhH3 strongly correlated with mitotic count (r = 0.94). Weaker correlations were found between MIB-1 versus PhH3 (r = 0.79) and mitotic count (r = 0.83). Nuclear IOD showed stronger correlation with MIB-1 (r = 0.37) than to mitotic count (r = 0.23) and PhH3 (r = 0.34). With evidence from a literature review, it is suggested that the weaker correlations with MIB-1 are not explained by count imprecision or error, but relies on temporal decorrelation between cell cycle phases. Consequences on correlation between these proliferative markers are illustrated by mathematical models.

Indexed as

Cell Cycle CheckpointsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCell CountCell ProliferationFemaleHistonesHumansKi-67 AntigenMaleMiddle AgedNeoplasm InvasivenessReproducibility of ResultsBiomarkers, TumorHistonesKi-67 Antigen

Identifiers

PMID24874299
PMCPMC4038821
OpenAlexW2082172177

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.